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Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture. About Superhuman Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company’s products include Grammarly’s writing assistance, Coda’s collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at superhuman.com and about our values here. The Opportunity To achieve our ambitious goals, we’re looking for an Applied Research Scientist with a keen interest and background in natural language processing (NLP), machine learning (ML), and deep learning (DL) to join our Agents team. The team builds user-facing features that work in all Superhuman applications. We help our users write better, faster, and more effectively while working in big groups. The person in this role will bring their unique perspective to our product development process by contributing to ideation and defining the solution space. Based on their deep grasp of ML/DL/NLP concepts, the Applied Researcher will define the approach to solving the complex problems. The role will also build the intelligent functionality of our product offerings. Superhuman's engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. Read more about our stack or hear from our team on our technical blog. Your Impact As an Applied Research Scientist, you will have the opportunity to harness your passion for building exciting new product offerings that will impact millions of lives. To do this, you'll need to stay up-to-date on the quickly evolving field of NLP while also focusing on building production systems. In this role, you will: Develop state-of-the-art tools for correcting, improving, and enhancing written English using various NLP, ML, and DL technologies. Productize and ship these features into Superhuman's product offerings, which millions of users use daily. Stay up-to-date with the latest research trends that could improve our product. Contribute to the research strategy and technical culture of the company. Attract professionals in the industry to build a best-in-class research team that creates a state-of-the-art writing and communication assistant. Qualifications Strong theoretical foundation in ML/DL algorithms and methodologies. Minimum 6–7 years of industry experience in researching and developing ML/DL technologies for real-world products. Additional 4–5 years of research experience in an academic environment (PhD or equivalent research background preferred). Deep experience in Natural Language Processing (NLP), Generative AI, and Large Language Models (LLMs). Proven track record of applying ML/DL algorithms effectively to NLP tasks. Strong research mentality with a math-oriented mindset and ability to innovate in cutting-edge areas. Proficiency in at least one modern programming language (preferably Python). Demonstrated ability to translate research into scalable, production-ready solutions. Excellent command of spoken and written English, knowledge of additional languages is a plus. Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments. Support for you, professionally and personally Professional growth: We believe that autonomy and trust are key to empowering our team members to do their best, most innovative work in a way that aligns with their interests, talents, and well-being. We also support professional development and advancement with training, coaching, and regular feedback. A connected team: Superhuman builds a product that helps people connect, and we apply this mindset to our own team. Our remote-first hybrid model enables a highly collaborative culture. We work to foster belonging among team members in a variety of ways. This includes our employee resource groups, Superhuman Circles, which promote connection among those with shared identities including BIPOC and LGBTQIA+ team members, women, and parents. We also celebrate our colleagues and accomplishments with global, local, and team-specific programs.  Comprehensive benefits for candidates based in Germany: Superhuman offers all team members competitive pay along with a benefits package encompassing life care (including mental health care and risk benefits) and ample and defined time off. We also offer support to set up a home office, wellness and pet care stipends, learning and development opportunities, and more. Relocation Support: Superhuman provides comprehensive relocation support to make your move to Berlin seamless. Our package includes visa assistance, destination services to help you and your family settle in comfortably, and a relocation bonus to cover additional expenses, such as temporary housing. We encourage you to apply At Superhuman, we value our differences, and we encourage all to apply. Superhuman is an equal-opportunity company. We do not discriminate on the basis of race or ethnic origin, religion or belief, gender, disability, sexual identity, or age. For more details about the personal data Superhuman collects during the recruitment process, for what purposes, and how you can address your rights, please see the Superhuman Data Privacy Notice for Candidates here. #LI-Hybrid  

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Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture. About Superhuman Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company’s products include Grammarly’s writing assistance, Coda’s collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at superhuman.com and about our values here. The Opportunity To achieve our ambitious goals, we’re looking for an Applied Research Scientist with a keen interest and background in natural language processing (NLP), machine learning (ML), and deep learning (DL) to join our Agents team. The team builds user-facing features that work in all Superhuman applications. We help our users write better, faster, and more effectively while working in big groups. The person in this role will bring their unique perspective to our product development process by contributing to ideation and defining the solution space. Based on their deep grasp of ML/DL/NLP concepts, the Applied Researcher will define the approach to solving the complex problems. The role will also build the intelligent functionality of our product offerings. Superhuman's engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. Read more about our stack or hear from our team on our technical blog. Your Impact As an Applied Research Scientist, you will have the opportunity to harness your passion for building exciting new product offerings that will impact millions of lives. To do this, you'll need to stay up-to-date on the quickly evolving field of NLP while also focusing on building production systems. In this role, you will: Develop state-of-the-art tools for correcting, improving, and enhancing written English using various NLP, ML, and DL technologies. Productize and ship these features into Superhuman's product offerings, which millions of users use daily. Stay up-to-date with the latest research trends that could improve our product. Contribute to the research strategy and technical culture of the company. Attract professionals in the industry to build a best-in-class research team that creates a state-of-the-art writing and communication assistant. Qualifications Strong theoretical foundation in ML/DL algorithms and methodologies. Minimum 6–7 years of industry experience in researching and developing ML/DL technologies for real-world products. Additional 4–5 years of research experience in an academic environment (PhD or equivalent research background preferred). Deep experience in Natural Language Processing (NLP), Generative AI, and Large Language Models (LLMs). Proven track record of applying ML/DL algorithms effectively to NLP tasks. Strong research mentality with a math-oriented mindset and ability to innovate in cutting-edge areas. Proficiency in at least one modern programming language (preferably Python). Demonstrated ability to translate research into scalable, production-ready solutions. Excellent command of spoken and written English, knowledge of additional languages is a plus. Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments. Support for you, professionally and personally Professional growth: We believe that autonomy and trust are key to empowering our team members to do their best, most innovative work in a way that aligns with their interests, talents, and well-being. We also support professional development and advancement with training, coaching, and regular feedback. A connected team: Superhuman builds a product that helps people connect, and we apply this mindset to our own team. Our remote-first hybrid model enables a highly collaborative culture. We work to foster belonging among team members in a variety of ways. This includes our employee resource groups, Superhuman Circles, which promote connection among those with shared identities including BIPOC and LGBTQIA+ team members, women, and parents. We also celebrate our colleagues and accomplishments with global, local, and team-specific programs.  Comprehensive benefits for candidates based in Germany: Superhuman offers all team members competitive pay along with a benefits package encompassing life care (including mental health care and risk benefits) and ample and defined time off. We also offer support to set up a home office, wellness and pet care stipends, learning and development opportunities, and more. Relocation Support: Superhuman provides comprehensive relocation support to make your move to Berlin seamless. Our package includes visa assistance, destination services to help you and your family settle in comfortably, and a relocation bonus to cover additional expenses, such as temporary housing. We encourage you to apply At Superhuman, we value our differences, and we encourage all to apply. Superhuman is an equal-opportunity company. We do not discriminate on the basis of race or ethnic origin, religion or belief, gender, disability, sexual identity, or age. For more details about the personal data Superhuman collects during the recruitment process, for what purposes, and how you can address your rights, please see the Superhuman Data Privacy Notice for Candidates here. #LI-Hybrid  

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Do you enjoy applying machine learning to complex, real-world problems in autonomous vehicle testing? The Simulation Scenario Generation team is looking for a ML Engineer to enable next-generation scalable AV scenario creation workflows. This ranges from generating large-scale traffic simulations to extending our agentic AI system to assist in synthetic scenario creation from a natural language test specification. This role offers a unique chance to deliver immediate user impact while contributing to long-term AI-driven safety validation.In this role, you will:Contribute to tooling for AI-based scenario understanding and validation.Synthesize realistic AV simulation scenarios with dynamic (e.g., traffic) and static features.Integrate and validate LLMs/VLMs and implement other models for complex scenario generation workflows, leveraging techniques like agentic tool use. Collaborate directly with internal customers and partner teams to provide generative AI solutions for their test creation workflows.Directly contribute to the safety and reliability of Zoox's autonomous software.QualificationsMS or PhD in Computer Science, Machine Learning, or related field5+ years of industry experience in Machine LearningProficiency in Python and ML libraries (PyTorch, JAX, NumPy, etc.) demonstrated through professional or research projectsDemonstrated experience in transformer and diffusion architecturesPractical experience in dataset creation for fine-tuning, system integration of ML models into production, or optimization techniques for low-latency inference systemsBonus QualificationsFamiliarity with autonomous vehicles, robotics, and/or complex simulation environmentsHands-on experience in areas like program synthesis and/or formal methods/V&VRelevant publications in conferences (e.g., CVPR, ICCV, RSS, and/or ICRA) 233,000 - 290,000 a yearBase Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

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About AKASAAt AKASA, our mission is to build the future of healthcare with AI. As the leading provider of generative AI solutions for the healthcare revenue cycle, we help health systems comprehensively capture and communicate the full patient clinical journey. By empowering health systems to streamline their operations, they can focus on what matters most - delivering quality patient care. We have raised over $205M in funding from investors such as Andreessen Horowitz, BOND, and Costanoa Ventures.This is the most exciting time to join AKASA. Revenue bookings for our new AI-native product suite have grown over 20x since launching in 2024. In this time, we have broken our record for the largest deal in company history three times consecutively. This growth is driven by the massive improvement we are generating for our customers across clinical quality and documentation accuracy, both top priority areas for health system leaders.Our deployments have been recognized nationally as "one of the most comprehensive real-world uses of GenAI in healthcare finance to date" (link). Our customer base represents more than $120B+ in net patient revenue and includes the most innovative health systems in the country, like Cleveland Clinic, Duke, Stanford, and Johns Hopkins.Some of our most recent recognitions include being named the #1 most promising healthcare RCM startup of 2025 by Black Book Market Research and one of the fastest-growing GenAI startups to watch by AIM Research. Our CEO was ranked among the “Top 50 Healthcare Technology CEOs” by the Healthcare Technology Report, and we have been certified as a “Great Place to Work” for the past five years in a row, just to name a few.We’re building on this momentum to redefine what’s possible in healthcare. We’re looking for exceptional people to help us accelerate that reality.About the RoleAs a Senior Machine Learning Researcher at AKASA, you’ll play a crucial role in pioneering advanced AI solutions that are transforming healthcare. You’ll collaborate closely with a talented team of PhD researchers, ML engineers, and healthcare experts to create models that directly enhance human efficiency and precision in complex operational workflows across the healthcare system. Our mission is to empower healthcare professionals with tools that amplify their capabilities, making them faster, more comprehensive, and more effective in their roles.At AKASA, our research and development balance cutting-edge LLM innovation with practical impact on healthcare operations. You’ll contribute to developing and adapting advanced language models, including pretraining and fine-tuning work on architectures like Llama. In this role, you’ll work end-to-end on model design, data creation, training, evaluation, and iteration, ensuring that your research advances not only our models but also the real-world tasks they support. You’ll have the opportunity to influence new research directions, support high-impact publications, and contribute directly to AKASA’s product offerings, bringing your work to life in tools used across healthcare systems.This is a US-based remote position with significant opportunities to impact healthcare through rigorous ML research and product innovation. We welcome candidates eager to advance AI’s role in healthcare within a collaborative, mission-driven environment.What You'll DoDrive Applied Research: Lead the design, training, and evaluation of large language models to solve healthcare-specific challenges, advancing the state of the art in clinical Natural Language Understanding.Leverage Human-in-the-Loop Feedback: Work closely with cross-functional teams to integrate Human-in-the-Loop data, using it to guide model improvements and explore new methods for optimizing performance.Collaborate Across Teams: Partner with healthcare experts and other stakeholders to integrate qualitative insights, ensuring models align with real-world needs and deliver meaningful results.Stay on the Cutting Edge: Regularly evaluate advancements in ML to determine their relevance to our work, maintaining AKASA’s leading edge in responsible, high-impact healthcare AI.Contribute to Broader Impact: Publish and share research findings in the broader AI community, helping to advance healthcare applications of AI through peer-reviewed publications.Skills & QualificationsA passion for tackling meaningful healthcare challenges and leveraging AI to make a positive impact on the healthcare system.Proven experience training and fine-tuning large language models, with expertise in model architecture, optimization techniques, and performance evaluation. Experience with modeling in the healthcare domain, clinical natural language understanding, and healthcare data and data standards (e.g., EDI, FHIR) is strongly preferred.Ph.D. or equivalent industry experience in fields related to machine learning, natural language processing, computer vision, computer science, electrical engineering, statistics, mathematics, optimization, or data science, plus 2-3 years of experience. Peer-reviewed publications in top AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, NAACL, and EMNLP) strongly preferred.Strong programming skills in Python, with proficiency in deep learning frameworks and tools such as PyTorch, TensorFlow, PyTorch Lightning, Hugging Face Transformers, and Kubernetes/Kubeflow, as well as experience with cloud platforms (AWS, GCP) and multi-GPU environments.A track record of translating research into real-world applications, with experience in rapid prototyping, experimentation, and writing production-ready code.Ability to work effectively in a cross-functional, fast-paced environment, with strong written and verbal communication skills.What We OfferUnlimited paid time off (PTO)Expansive coverage for health, dental, and visionEmployer contribution to Health Savings Accounts (HSA)Generous parental leave policyFull employee coverage for life insuranceCompany-paid holidays401(K) planCompensationBased on market data and other factors, the salary range for this position is $175,000-$230,000 + Equity. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.We’re committed to doing the best work of our lives, together. Come see if we're the right team for you.AKASA is a proud equal opportunity employer and we believe that a diverse and inclusive workforce is an imperative. We welcome people of different backgrounds, genders, races, ethnicities, abilities, sexual orientations, and perspectives, just to name a few. We do not discriminate based upon any protected class and we encourage candidates of all identities and backgrounds to apply. AKASA considers qualified applicants regardless of criminal histories in accordance with the San Francisco Fair Chance Ordinance.AKASA is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at recruiting@akasa.com.

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The Offline Driving Intelligence (ODIN) team at Zoox is leveraging the latest in AI to craft algorithms that understand the world. We leverage large models first offline and we devise a path of impact into our self-driving robot, enabling safe and efficient navigation in complex environments. As an engineer in the ODIN team, you will develop advanced multimodal large language models that enhance environmental understanding. You'll develop and fine-tune these models for off-vehicle analysis while working with the onboard team to deliver impact in our robotaxi platform, ensuring they can efficiently identify hazards and interpret driving restrictions with minimal latency. Working alongside world-class engineers and researchers, you'll leverage premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions, directly impacting productivity, safety and the capability of Zoox's autonomous system. In this role, You will...Lead the development of multimodal large language models that enhance our robotaxis' understanding of complex urban environmentsDesign effective model architectures and sophisticated training techniques, leveraging all the inputs from our sensor stack and the overall large scale data we have at Zoox.Drive end-to-end ML solutions from research to production, utilizing Zoox's extensive data pipelines and infrastructure to improve autonomous driving capabilitiesCollaborate with perception, planning, safety, and systems teams to integrate your models into the vehicle's decision-making pipelineValidate and optimize your solutions using real-world driving scenarios, directly contributing to the safety and reliability of Zoox's autonomous systemQualificationsMS or PhD in Computer Science, Machine Learning, or related technical fieldDemonstrated experience training and deploying large language models (LLMs)Experience building and maintaining ML training pipelines, including data preprocessing, model training, and evaluationProficiency in Python and ML libraries (PyTorch, NumPy) demonstrated through professional or research projectsExperience training with large scale datasets (e.g. tens of millions of videos)Bonus QualificationsPublications in top-tier conferences (CVPR, ICCV, RSS, ICRA)Experience with autonomous robotics systems 229,000 - 317,000 a yearAbout ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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The Perception team at Zoox is fundamental to our autonomous vehicle technology, creating the understanding of the world for our self-driving robots. We enable safe and efficient navigation in complex environments through sophisticated detection, classification, and tracking systems. As a software engineer on the perception mapping team, you will be a key contributor to Zoox’s online mapping initiative. You will design, train, validate, and integrate into the stack ML models that detect semantic map elements in the world. Your work will touch on all aspects of ML development, including data gathering, labeling, training, validation, and onboard integration. Your work will enable important milestones to scaling and autonomy capabilities and will be critical to the success of Zoox.In this role, you will: Curate, validate, and label datasets for model training and validationResearch, implement, and train ML models to perform semantic map element detectionClosely collaborate with validation teams to formulate and execute model validation pipelinesIntegrate models into the greater onboard autonomy system within compute budgetsBe a technical leader on the team, maintaining coding and ML development best practices and contributing to architectural decisionsQualifications:MS or PhD or equivalent experience (5+ years) in Computer Science or related fieldExperience in computer vision or roboticsExperience with training and deploying deep learning modelsExperience with with Python libraries (pytorch, numpy)Bonus Qualifications: Experience with C++Experience with CUDA and/or GPU programmingExperience with mapping related ML techniques 242,000 - 290,000 a yearBase Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

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The Perception Object Detection and Tracking team at Zoox deals with perception of all people and objects that have a capability to move. Your role is to work with the ML model teams to bring cutting-edge models into the vehicle stack. In this role, you will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. We are creating new algorithms for segmentation, tracking, classification, and high-level scene understanding, and you could work on any (or all!) of these components.In this role, you will...Define on-vehicle architecture for producing the core tracking results from the Perception stack. Work with both the model teams and optimization teams to develop a highly performant and efficient system that can run on vehicle.Work with Perception data, both on the input and output of machine learned modelsTake tracking output and integrate this into the larger behavioral system in the Autonomy stackQualificationsBS or higher in Computer Science or a related degreeFluency in C++ and PythonExperience delivering ML model integration in latency-sensitive systemsHave experience implementing tracking systemsStrong mathematical skills and understanding of probabilistic techniquesBonus QualificationsFamiliarity with modern, Sparse-BEV Joint Detection and Tracking modelsExperience with CUDA codeContribute to the ongoing development of new architecture based on new, state of the art ML researchInvestigate, prototype and train / evaluate networks for solving causal / recursive multi-target multi-modal tracking problem 242,000 - 290,000 a yearAbout ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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AnythingAnything is the AI product engineer for the next wave of entrepreneurs. It's an AI agent that turns English into apps. Everything you need make money on the internet built in - mobile, web, design, AI, backend, infra, payments. Launched Aug 7th. https://x.com/anything Hit $5m rev and growing quickly Try it at anything.comRoleWhat this role isThis role is for people who want to grow faster than they could anywhere else. You will work on real AI systems from day one and take ownership of meaningful product work. You will tackle challenging problems, learn new tools constantly, and operate in an environment where speed, ambition, and personal growth are core expectations. You will be supported by senior engineers but trusted to figure things out, push through ambiguity, and build systems that reach millions of users. This is a place for people who want to develop world class skills early in their career.You will be expected to move fast with clarity–reasoning through tradeoffs, writing things down when helpful, and choosing solutions that fit the broader system.How you will operateBreak down complex or unclear problems into clear steps and propose practical solutionsMake thoughtful tradeoffs between speed, correctness, and long-term maintainabilityBuild AI powered features using TypeScript and modern AI frameworksCollaborate closely with product and design to align on goals and ship with confidenceTalk with users and use the product yourself to understand real-world needs and opportunitiesPush through obstacles with resourcefulness and a strong problem-solving mindsetLearn new concepts quickly and apply them to real production challengesStay up to date on the latest in AI research and engineeringTake on tasks that stretch your abilities and work hard to close skill gaps quicklyContribute to a culture of ownership, ambition, and fast-paced learningAI is a rapidly evolving field, and no one here has all the answers. We value humility, openness to feedback, and a willingness to revise your thinking as you learn. Strong opinions are welcome when they are paired with curiosity and respect for evidence.Primary outcomesYour success will be measured by:1. Independent problem-solving and execution You take goals, investigate unknowns, evaluate options, and deliver solutions without waiting for extensive guidance.2. Fast skill growth You significantly expand your technical range within your first months through hands-on work and deliberate learning.3. Shipped product impact Your features improve user experience, performance, and product depth in measurable and well-reasoned waysRequired backgroundCandidates typically show:A strong technical foundation from a top CS program or equivalent hands-on experience building real systemsEvidence of ambitious, self-driven projects or internships that required problem solving and ownershipSolid programming fundamentals and comfort with TypeScriptExceptional ability to read deeply, reason clearly, and communicate complex ideasCuriosity about AI systems and a desire to push beyond easy or obvious solutionsA personal track record of learning quickly and putting in real effort to master difficult skillsExperience working in fast-paced environments while balancing care with urgency.Nice to havePrior internships in AI, backend, or infrastructure engineeringPreviously been one of the first 10 hires at startupPersonal projects that show initiative, creativity, and independent thinkingBackgrounds or interests that span technical and non-technical domains (e.g. writing, design, philosophy, economics, etc)Why this role mattersWe are building products on the frontier of AI and that requires a team that learns fast, thinks clearly, and works hard. You will grow more in one year here than in several years at a typical company. You will take on challenges that stretch your abilities and solve problems that materially shape the future of the product.In all roles We look for:Intense. Ship fast. Cycles are hours, not weeks. Hard to outwork.Ownership. Grab the #1 priority and relentless to deliver.Fearlessness. Risk on. Do the unknown / uncomfortable. Say "good" to bad news.Taste. Obsess over quality. Know what “great” looks like. No slop.Play. Curiosity, joy, and energy.Sound like you?Come do the most meaningful work of your career. Applying Submit here and we'll reach out if it's a fit.

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AI at ZapierAt Zapier, we build and use automation every day to make work more efficient, creative, and human. So if you’re using AI tools while applying here - that’s great! We just ask that you use them responsibly and transparently.Check out our guidance on How to Collaborate with AI During Zapier’s Hiring Process, including how to use AI tools like ChatGPT, Claude, Gemini, or others during our hiring process - and when not to.Job Posted: 12/4/2025Hi there!Zapier is on a mission to make automation accessible to everyone, empowering people and businesses to be more efficient and productive. We’re seeking a Sr. Director of Engineering to lead our AI Orchestration engineering organization. In this role, you’ll manage multiple engineering squads to innovate and deliver AI solutions. You will lead AI engineering execution across the build organization.This role will report to Zapier’s CPTO (Chief Product and Technology Officer) and will partner with the Director of Product - AI.We know applying for and taking on a new job at any company requires a leap of faith. We want you to feel comfortable and excited to apply at Zapier. To help share a bit more about life at Zapier, here are a few resources in addition to the job description that can give you an inside look at what life is like at Zapier. Hopefully, you'll take the leap of faith and apply.Our Commitment to ApplicantsCulture and Values at ZapierZapier Guide to Remote WorkZapier Code of ConductDiversity and Inclusivity at ZapierZapier is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.About YouYou’re a hands-on technical leader who thrives at the intersection of AI innovation and real-world product impact. You combine a deep understanding of AI and ML systems with the ability to apply them pragmatically to ship customer-facing products that solve meaningful problems.You’re passionate about applied AI engineering. You stay at the forefront of AI development and experimentation, and your peers look to you for insight, vision, and guidance on how to best leverage AI for customers and in day-to-day execution.You're driven to ship user-facing ML and LLM-powered products. You’ve had hands-on experience building and shipping user-facing LLM features, training and tuning models, and integrating them into end-to-end products. Beyond AI, you’re a trusted technical architect who makes pragmatic tradeoffs to deliver quickly and with impact.You think strategically and act pragmatically. You can see where AI is heading and use that vision to guide near-term architecture, tradeoffs, and execution. You’re comfortable with ambiguity and can chart a path forward even when the technology is evolving.You’re customer-obsessed. You deeply understand customer needs and are passionate about delivering high-quality solutions to our customers. You have a passion for building products that delight both internal and external customers, making their jobs easier and more productive. You thrive on working directly with customers and support and customer success teams towards the common outcome.You can develop and sell a vision and strategy to your team and across the org. You have a good sense of vision and strategy, and you’re able to translate that strategy into successful execution through experimentation and continuous improvement. You partner closely with product management, design, marketing, and the support organizations to drive and achieve business outcomes.You’re motivated by shaping what’s next. You want to define how millions of people experience automation in the AI era and help lead Zapier’s next generation of customer-facing products.You are a skilled mentor, coach, and engineering leader who holds a high bar for talent. You have a passion and a track record of mentoring engineers and leaders, while also growing your own skills. You've introduced and broadened engineering practices and enhanced engineering cultures. You hold a high bar for talent and increase talent density within your organization through effective hiring, growing and upskilling your team, and performance management.Things You’ll DoLead Zapier’s AI Orchestration Zone in partnership with Product and Design. Co-own one of the company’s most strategic initiatives, unifying core AI capabilities, driving technical direction, and shaping how AI is applied across Zapier’s products to create differentiated customer experiences.Prototype and push the boundaries of applied AI. Experiment with new models, tools, and approaches to deliver impactful, production-ready AI features that extend Zapier’s automation capabilities.Build and mentor a world-class engineering organization. Attract, develop, and retain exceptional talent while fostering a culture of technical excellence, curiosity, and velocity.Drive a culture of innovation and technical rigor. Balance exploration with execution by turning emerging AI capabilities into scalable, reliable features that create measurable customer impact.Foster cross-functional alignment. Collaborate with Product, Design, and Go-to-Market partners to define the AI roadmap, ensure execution against company strategy, and translate bold ideas into tangible outcomes.Champion engineering excellence. Guide architectural decisions, evolve Zapier’s AI infrastructure, and uphold best practices in reliability, scalability, and agile development.Shape Zapier’s next chapter. Play a key role in defining what AI-powered automation looks like for millions of customers and how Zapier evolves into an intelligent orchestration platform.How to ApplyAt Zapier, we believe that diverse perspectives and experiences make us better, which is why we have a non-standard application process designed to promote inclusion and equity. We're looking for the best fit for each of our roles, regardless of the type of companies in your background, so we encourage you to apply even if your skills and experiences don’t exactly match the job description. All we ask is that you answer a few in-depth questions in our application that would typically be asked at the start of an interview process. This helps speed things up by letting us get to know you and your skillset a bit better right out of the gate. Please be sure to answer each question; the resume and CV fields are optional.Education is not a requirement for our roles; however, if you receive an offer, you will need to include your most recent educational experience as part of our background check process.After you apply, you are going to hear back from us—even if we don’t see an immediate fit with our team. In fact, throughout the process, we strive to never go more than seven days without letting you know the status of your application. We know we’ll make mistakes from time to time, so if you ever have questions about where you stand or about the process, just ask your recruiter!Zapier is an equal-opportunity employer and we're excited to work with talented and empathetic people of all identities. Zapier does not discriminate based on someone's identity in any aspect of hiring or employment as required by law and in line with our commitment to Diversity, Inclusion, Belonging and Equity. Our code of conduct provides a beacon for the kind of company we strive to be, and we celebrate our differences because those differences are what allow us to make a product that serves a global user base. Zapier will consider all qualified applicants, including those with criminal histories, consistent with applicable laws.Zapier prioritizes the security of our customers' information and is dedicated to adhering to all applicable data privacy laws. You can review our privacy policy here.Zapier is committed to inclusion. As part of this commitment, Zapier welcomes applications from individuals with disabilities and will work to provide reasonable accommodations. If reasonable accommodations are needed to participate in the job application or interview process, please contact jobs@zapier.com.Application Deadline:The anticipated application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later, or if the position is filled.Even though we’re an all-remote company, we still need to be thoughtful about where we have Zapiens working. Check out this resource for a list of countries where we currently cannot have Zapiens permanently working.

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Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and CTO & co-founder, Tim Shi, an early member of Open AI.   We’ve assembled a world-class team of AI and ML experts, go-to-market leaders, and top-tier investors including Andreessen Horowitz, Greylock Partners, Sequoia, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Cox Communications, Hilton, and Carmax and we’ve been recognized by Forbes and Bain Consulting as one of the top private AI companies in the world. About the role: As part of Cresta's Conversation Design team, you will assist in designing high quality AI conversation models that offer real-time coaching and assistance for our customers' contact center agents, and designing conversational experiences for virtual agents for both voice and chat. The role is highly collaborative and will require that you work closely with cross-functional team members from Machine Learning, Data Science, Program Management, Customer Success, Product Leadership, and Engineering. You may also work directly with customers to get alignment on our overall solution design and to enable customers to build their own models using Cresta Opera, our proprietary self-service tool. Responsibilities: Assist with all stages of our AI Delivery projects - designing, building, deploying, and tuning AI solutions for multiple customers. Collaborate with internal and external stakeholders to design and build solutions that help customers achieve their business objectives using Cresta's AI product suite. Assist in designing solutions for contact centers in sales, retention, collections, and customer service across a range of verticals, from financial services to telecommunications and everything in between. Define labeling guidelines to be used to train conversational AI models, and assist with labeling as needed. Lead model maintenance efforts to ensure that Cresta's AI models continue to meet our quality standards. Design and develop virtual agent solutions using Google's Dialogflow CX. Qualifications We Value: Strong communication skills (verbal and written). Desire to work in a fast-paced environment with the opportunity to learn and develop a wide range of skills. General knowledge of Conversational AI and natural language processing models. Background in Linguistics preferred. Experience working with Python is a plus. Experience working with Dialogflow CX or another bot design platform is a plus Perks & Benefits:  We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs Paid parental leave to support you and your family Monthly Health & Wellness allowance Work from home office stipend to help you succeed in a remote environment Lunch reimbursement for in-office employees  PTO: Flexible  Compensation at Cresta  Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table. The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family. Salary Range: $60,000–$95,000 + Offers Equity We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.  If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai 

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Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and CTO & co-founder, Tim Shi, an early member of Open AI.   We’ve assembled a world-class team of AI and ML experts, go-to-market leaders, and top-tier investors including Andreessen Horowitz, Greylock Partners, Sequoia, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Cox Communications, Hilton, and Carmax and we’ve been recognized by Forbes and Bain Consulting as one of the top private AI companies in the world. About the role: As part of Cresta's Conversation Design team, you will assist in designing high quality AI conversation models that offer real-time coaching and assistance for our customers' contact center agents, and designing conversational experiences for virtual agents for both voice and chat. The role is highly collaborative and will require that you work closely with cross-functional team members from Machine Learning, Data Science, Program Management, Customer Success, Product Leadership, and Engineering. You may also work directly with customers to get alignment on our overall solution design and to enable customers to build their own models using Cresta Opera, our proprietary self-service tool. Responsibilities: Assist with all stages of our AI Delivery projects - designing, building, deploying, and tuning AI solutions for multiple customers. Collaborate with internal and external stakeholders to design and build solutions that help customers achieve their business objectives using Cresta's AI product suite. Assist in designing solutions for contact centers in sales, retention, collections, and customer service across a range of verticals, from financial services to telecommunications and everything in between. Define labeling guidelines to be used to train conversational AI models, and assist with labeling as needed. Lead model maintenance efforts to ensure that Cresta's AI models continue to meet our quality standards. Design and develop virtual agent solutions using Google's Dialogflow CX. Qualifications We Value: Strong communication skills (verbal and written). Desire to work in a fast-paced environment with the opportunity to learn and develop a wide range of skills. General knowledge of Conversational AI and natural language processing models. Background in Linguistics preferred. Experience working with Python is a plus. Experience working with Dialogflow CX or another bot design platform is a plus Perks & Benefits:  We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs Paid parental leave to support you and your family Monthly Health & Wellness allowance Work from home office stipend to help you succeed in a remote environment Lunch reimbursement for in-office employees  PTO: Flexible  Compensation at Cresta  Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table. The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family. Salary Range: $60,000–$95,000 + Offers Equity We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.  If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai 

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Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and CTO & co-founder, Tim Shi, an early member of Open AI.   We’ve assembled a world-class team of AI and ML experts, go-to-market leaders, and top-tier investors including Andreessen Horowitz, Greylock Partners, Sequoia, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Cox Communications, Hilton, and Carmax and we’ve been recognized by Forbes and Bain Consulting as one of the top private AI companies in the world. About the role: As part of Cresta's Conversation Design team, you will assist in designing high quality AI conversation models that offer real-time coaching and assistance for our customers' contact center agents, and designing conversational experiences for virtual agents for both voice and chat. The role is highly collaborative and will require that you work closely with cross-functional team members from Machine Learning, Data Science, Program Management, Customer Success, Product Leadership, and Engineering. You may also work directly with customers to get alignment on our overall solution design and to enable customers to build their own models using Cresta Opera, our proprietary self-service tool. Responsibilities: Assist with all stages of our AI Delivery projects - designing, building, deploying, and tuning AI solutions for multiple customers. Collaborate with internal and external stakeholders to design and build solutions that help customers achieve their business objectives using Cresta's AI product suite. Assist in designing solutions for contact centers in sales, retention, collections, and customer service across a range of verticals, from financial services to telecommunications and everything in between. Define labeling guidelines to be used to train conversational AI models, and assist with labeling as needed. Lead model maintenance efforts to ensure that Cresta's AI models continue to meet our quality standards. Design and develop virtual agent solutions using Google's Dialogflow CX. Qualifications We Value: Strong communication skills (verbal and written). Desire to work in a fast-paced environment with the opportunity to learn and develop a wide range of skills. General knowledge of Conversational AI and natural language processing models. Background in Linguistics preferred. Experience working with Python is a plus. Experience working with Dialogflow CX or another bot design platform is a plus Perks & Benefits:  We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs Paid parental leave to support you and your family Monthly Health & Wellness allowance Work from home office stipend to help you succeed in a remote environment Lunch reimbursement for in-office employees  PTO: Flexible  Compensation at Cresta  Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table. The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family. Salary Range: $60,000–$95,000 + Offers Equity We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.  If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai 

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Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and CTO & co-founder, Tim Shi, an early member of Open AI.   We’ve assembled a world-class team of AI and ML experts, go-to-market leaders, and top-tier investors including Andreessen Horowitz, Greylock Partners, Sequoia, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Cox Communications, Hilton, and Carmax and we’ve been recognized by Forbes and Bain Consulting as one of the top private AI companies in the world. About the role: As part of Cresta's Conversation Design team, you will assist in designing high quality AI conversation models that offer real-time coaching and assistance for our customers' contact center agents, and designing conversational experiences for virtual agents for both voice and chat. The role is highly collaborative and will require that you work closely with cross-functional team members from Machine Learning, Data Science, Program Management, Customer Success, Product Leadership, and Engineering. You may also work directly with customers to get alignment on our overall solution design and to enable customers to build their own models using Cresta Opera, our proprietary self-service tool. Responsibilities: Assist with all stages of our AI Delivery projects - designing, building, deploying, and tuning AI solutions for multiple customers. Collaborate with internal and external stakeholders to design and build solutions that help customers achieve their business objectives using Cresta's AI product suite. Assist in designing solutions for contact centers in sales, retention, collections, and customer service across a range of verticals, from financial services to telecommunications and everything in between. Define labeling guidelines to be used to train conversational AI models, and assist with labeling as needed. Lead model maintenance efforts to ensure that Cresta's AI models continue to meet our quality standards. Design and develop virtual agent solutions using Google's Dialogflow CX. Qualifications We Value: Strong communication skills (verbal and written). Desire to work in a fast-paced environment with the opportunity to learn and develop a wide range of skills. General knowledge of Conversational AI and natural language processing models. Background in Linguistics preferred. Experience working with Python is a plus. Experience working with Dialogflow CX or another bot design platform is a plus Perks & Benefits:  We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs Paid parental leave to support you and your family Monthly Health & Wellness allowance Work from home office stipend to help you succeed in a remote environment Lunch reimbursement for in-office employees  PTO: Flexible  Compensation at Cresta  Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table. The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family. Salary Range: $60,000–$95,000 + Offers Equity We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.  If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai 

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Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and CTO & co-founder, Tim Shi, an early member of Open AI.   We’ve assembled a world-class team of AI and ML experts, go-to-market leaders, and top-tier investors including Andreessen Horowitz, Greylock Partners, Sequoia, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Cox Communications, Hilton, and Carmax and we’ve been recognized by Forbes and Bain Consulting as one of the top private AI companies in the world. About the role: As part of Cresta's Conversation Design team, you will assist in designing high quality AI conversation models that offer real-time coaching and assistance for our customers' contact center agents, and designing conversational experiences for virtual agents for both voice and chat. The role is highly collaborative and will require that you work closely with cross-functional team members from Machine Learning, Data Science, Program Management, Customer Success, Product Leadership, and Engineering. You may also work directly with customers to get alignment on our overall solution design and to enable customers to build their own models using Cresta Opera, our proprietary self-service tool. Responsibilities: Assist with all stages of our AI Delivery projects - designing, building, deploying, and tuning AI solutions for multiple customers. Collaborate with internal and external stakeholders to design and build solutions that help customers achieve their business objectives using Cresta's AI product suite. Assist in designing solutions for contact centers in sales, retention, collections, and customer service across a range of verticals, from financial services to telecommunications and everything in between. Define labeling guidelines to be used to train conversational AI models, and assist with labeling as needed. Lead model maintenance efforts to ensure that Cresta's AI models continue to meet our quality standards. Design and develop virtual agent solutions using Google's Dialogflow CX. Qualifications We Value: Strong communication skills (verbal and written). Desire to work in a fast-paced environment with the opportunity to learn and develop a wide range of skills. General knowledge of Conversational AI and natural language processing models. Background in Linguistics preferred. Experience working with Python is a plus. Experience working with Dialogflow CX or another bot design platform is a plus Perks & Benefits:  We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs Paid parental leave to support you and your family Monthly Health & Wellness allowance Work from home office stipend to help you succeed in a remote environment Lunch reimbursement for in-office employees  PTO: Flexible  Compensation at Cresta  Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table. The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family. Salary Range: $60,000–$95,000 + Offers Equity We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.  If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai 

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Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and CTO & co-founder, Tim Shi, an early member of Open AI.   We’ve assembled a world-class team of AI and ML experts, go-to-market leaders, and top-tier investors including Andreessen Horowitz, Greylock Partners, Sequoia, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Cox Communications, Hilton, and Carmax and we’ve been recognized by Forbes and Bain Consulting as one of the top private AI companies in the world. About the role: As part of Cresta's Conversation Design team, you will assist in designing high quality AI conversation models that offer real-time coaching and assistance for our customers' contact center agents, and designing conversational experiences for virtual agents for both voice and chat. The role is highly collaborative and will require that you work closely with cross-functional team members from Machine Learning, Data Science, Program Management, Customer Success, Product Leadership, and Engineering. You may also work directly with customers to get alignment on our overall solution design and to enable customers to build their own models using Cresta Opera, our proprietary self-service tool. Responsibilities: Assist with all stages of our AI Delivery projects - designing, building, deploying, and tuning AI solutions for multiple customers. Collaborate with internal and external stakeholders to design and build solutions that help customers achieve their business objectives using Cresta's AI product suite. Assist in designing solutions for contact centers in sales, retention, collections, and customer service across a range of verticals, from financial services to telecommunications and everything in between. Define labeling guidelines to be used to train conversational AI models, and assist with labeling as needed. Lead model maintenance efforts to ensure that Cresta's AI models continue to meet our quality standards. Design and develop virtual agent solutions using Google's Dialogflow CX. Qualifications We Value: Strong communication skills (verbal and written). Desire to work in a fast-paced environment with the opportunity to learn and develop a wide range of skills. General knowledge of Conversational AI and natural language processing models. Background in Linguistics preferred. Experience working with Python is a plus. Experience working with Dialogflow CX or another bot design platform is a plus Perks & Benefits:  We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs Paid parental leave to support you and your family Monthly Health & Wellness allowance Work from home office stipend to help you succeed in a remote environment Lunch reimbursement for in-office employees  PTO: Flexible  Compensation at Cresta  Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table. The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family. Salary Range: $60,000–$95,000 + Offers Equity We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.  If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai 

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AI at ZapierAt Zapier, we build and use automation every day to make work more efficient, creative, and human. So if you’re using AI tools while applying here - that’s great! We just ask that you use them responsibly and transparently.Check out our guidance on How to Collaborate with AI During Zapier’s Hiring Process, including how to use AI tools like ChatGPT, Claude, Gemini, or others during our hiring process - and when not to.About ZapierWe're humans who simply think computers should do more work.At Zapier, we’re building a platform to help millions of businesses scale with automation and AI. Our mission is simple: make automation work for everyone. As a member of the team, you’ll collaborate with intelligent, curious people, build and apply cutting-edge tools, and leverage the flexibility of remote work. Your work will directly fuel our customers’ success, and as they grow, so will you.Our Commitment to ApplicantsCulture and Values at ZapierZapier Guide to Remote WorkZapier Code of ConductDiversity and Inclusivity at ZapierStaff Applied AI Engineer, AI CapabilitiesAbout The RoleZapier is hiring a Staff Applied AI Engineer for our AI Capabilities team, the group responsible for building the shared AI execution platform that powers every AI product at Zapier, including Agents, Chatbots, AI by Zapier, and future orchestration experiences.This is one of the most foundational engineering roles at Zapier today.AI Capabilities is unifying the runtimes, tooling, data models, and orchestration layers behind our AI products into a single, reliable, high-quality platform with great ergonomics. We’re building what Zapier’s AI foundation should have been from day one—and we’re delivering it in a way that accelerates all other AI teams.As the Staff Applied AI Engineer on this team, you’ll bring deep technical expertise in LLMs, orchestration, evaluation, runtime systems, and platform engineering. You’ll help shape our unified architecture, guide tough tradeoffs, elevate our engineering standards, and ensure the platform is scalable, safe, cost-efficient, and easy to build on.If you want to work on hard AI platform problems that directly impact user-facing products—and you’re energized by building the foundation that other AI-focused teams and millions of users will rely on—you’ll thrive here.Why this is different (and exciting)This is a rare opportunity to help build the AI platform behind one of the world’s largest automation ecosystems. The AI Capabilities team empowers every runtime AI product at Zapier; Agents, Chatbots, AI by Zapier, and the orchestration surfaces yet to come.You’ll work on challenges that matter: making AI reliable, fast, safe, cost-efficient, and easy to build on. Your work will enable product teams to ship smarter features faster, and you’ll see your impact reflected directly in the experiences our customers use to run their businesses.If you’re excited about high-leverage engineering work that blends platform design, system architecture, and applied AI, this role gives you a front-row seat to shape how intelligent automation gets built at scale.About YouProven engineering impact: You’ve driven outcomes in complex, cloud-based systems used by real customers. Bonus: you’ve helped win or expand enterprise deals—leading POCs, navigating security/compliance reviews, or shaping product requirements to land enterprise adoption. Many strong candidates for our Staff roles have 10+ years’ experience. We hire for impact and capability, not years.LLM expertise: You have at least 2 years or equivalent depth of hands-on work with large language models in production, including user-facing products leveraging agent architectures. You are familiar with transformer networks, attention mechanisms, and their role in generating responses, function calls, and other complex tasks.Evaluation & retrieval systems: You have direct experience deploying evaluation frameworks for LLMs (performance, reliability, bias) and building Retrieval-Augmented Generation (RAG) systems. You have nuanced perspectives and experience with indexing/chunking strategies, semantic search, and vector databases, and how they differ from traditional retrieval methods.Builder first: You lead through hands-on contribution—pairing with product teams, unblocking adoption, modeling best practices, and shipping. You execute, not just advise.Pragmatic judgment over novelty: You separate signal from hype. You’re comfortable saying “not ready for production” (and explaining why), and you partner with product to decide when to keep exploring vs. when to lock down, standardize, and scale—using results from evals, user impact, and clear cost/latency tradeoffs.You design for scale and ambiguity. You can design systems and solutions in complex, high-scale environments—where priorities are fluid and ambiguity is the norm.Skilled communicator: You’re known for moving fluidly between pair programming, cross functional problem-solving, and customer discovery. You evaluate long vs. short-term solutions through the lens of speed to impact and cohesion of customer experience. You form trusting relationships and know how to bring others with you.You are an AI power user. You proactively embrace AI as a core part of your engineering toolkit and are excited to explore new ways it can accelerate learning, development, and operations. You don’t just use AI—you advocate for it, sharing your workflows and helping others level up.Things You’ll DoLead key architectural efforts in our unified AI platform: You’ll help define the orchestrator architecture, shared runtime components, and foundational APIs that bring Chatbots, Agents, AI by Zapier, and future experiences onto one high-quality platform.Guide high-impact technical decisions across AI Capabilities: You’ll influence choices around orchestration patterns, execution flows, shared tools, memory, safety, and data model design.Provide technical oversight as we consolidate runtimes: You’ll help navigate the merging of multiple systems into a single orchestrator; balancing reliability, speed, safety, and developer ergonomics.Partner deeply with product teams across the AI org: You’ll work closely with Agents, Chatbots, AI Tasks, Copilot, and Chat surfaces to support migrations, define interfaces, and translate product needs into platform capabilities.Mentor engineers and raise the technical bar for AI Capabilities: You’ll share patterns, teach practical AI engineering, and help grow the platform engineering culture on the teams you work with.Work Hours & Collaboration ExpectationsThis role is open to candidates globally. Because the majority of our stakeholders, partner teams, and decision-makers are based in North America, this role requires working standard Eastern Time (ET) hours at least three days per week to support real-time collaboration, technical reviews, and cross-functional decision-making.Outside of those days, you may set your own working hours, provided they support the needs of your team and comply with local labor regulations. We're committed to ensuring this schedule is sustainable and will partner with you during the hiring process to assess feasibility based on your location.Application Deadline:The anticipated application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later, or if the position is filled.Even though we’re an all-remote company, we still need to be thoughtful about where we have Zapiens working. Check out this resource for a list of countries where we currently cannot have Zapiens permanently working.

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About BroccoliBroccoli is building the AI operating system for the $500B home services market. We deploy intelligent AI agents at the front lines of HVAC, roofing, and other trades businesses to answer calls, engage customers, book jobs, and ensure every lead is captured.Backed by top VCs, we closed a $27M Series A and are scaling fast. We work with leading PE-backed home services platforms and plan to 5x headcount in 2026, creating a rare opportunity to join early and have outsized impact.Why Join BroccoliMake an Immediate Impact: You’ll ship production features used by real customers within your first few weeksCategory-Defining Work: Help shape how AI employees operate in the $600B home services marketMove Fast: We ship in weeks, not quarters—speed and execution matter hereHigh Ownership: Small team, high trust, and direct collaboration with foundersReal-World Scale: Build systems that handle live voice traffic, real revenue, and operational complexityWhat You’ll DoBuild and scale our AI agent platform, backend services, and internal toolingDesign and develop APIs and deep integrations with platforms like ServiceTitanOwn full product features end-to-end—from idea and design to production and iterationImprove agent intelligence, reliability, and real-time voice performanceWork closely with Product, Customer Success, and Sales to ship high-impact featuresHelp evolve our infrastructure as we scale usage, customers, and revenue What We’re Looking For2–5 years of experience in backend or full-stack software engineeringStrong engineering fundamentals and product intuitionComfortable working in fast-paced, ambiguous startup environmentsExperience building and operating production systems and APIsOwnership mindset—you care deeply about what you ship and how it performs Why BroccoliProven Momentum: $7M ARR today, scaling quicklyElite Backing: $27M raised, Series A led by Khosla VenturesMeaningful Ownership: Equity that reflects real impactCustomer-Driven Engineering: What you build directly affects how customers operateBeautiful South Park Office: Work in-person with a tight-knit, ambitious team

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About BroccoliBroccoli is building the AI operating system for the $500B home services market. We deploy intelligent AI agents at the front lines of HVAC, roofing, and other trades businesses to answer calls, engage customers, book jobs, and ensure every lead is captured.Backed by top VCs, we closed a $27M Series A and are scaling fast. We work with leading PE-backed home services platforms and plan to 5x headcount in 2026, creating a rare opportunity to join early and have outsized impact.Why Join BroccoliAs a Staff Engineer, you’ll play a critical role in shaping the technical foundation of Broccoli AI. You’ll own core systems, influence architectural decisions, and help define how we build and ship at scale.Immediate Impact: Your work goes directly into production and affects hundreds of customersCategory Creation: Help define a new class of AI-powered employees in a massive marketSpeed & Ownership: Small team, fast feedback loops, and real decision-making powerFounder Collaboration: Work directly with repeat founders on product and technical directionWhat You’ll DoDesign, build, and scale backend systems and internal tooling for our AI agent platformOwn critical APIs and integrations with systems like ServiceTitanLead complex features end-to-end, from early design through production rolloutImprove real-time voice performance, reliability, and AI agent intelligenceMentor engineers and help establish best practices across the teamBalance speed and quality while scaling systems that handle live customer trafficWhat We’re Looking For7+ years of experience in backend or full-stack engineeringStrong system design and architectural judgmentExperience shipping and operating production systems at scaleComfortable in high-growth, ambiguous startup environmentsOwnership mindset and a bias toward executionWhy BroccoliProven Momentum: $7M ARR and rapidly scalingElite Backing: $27M raised, Series A led by Khosla VenturesMeaningful Equity: Ownership aligned with impactReal-World AI: Build systems that run businesses, not experimentsSouth Park Office: Work in-person with a high-trust, ambitious team

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About BroccoliBroccoli is building the AI operating system for the $500B home services market. We deploy intelligent AI agents at the front lines of HVAC, roofing, and other trades businesses to answer calls, engage customers, book jobs, and ensure every lead is captured.Backed by top VCs, we closed a $27M Series A and are scaling fast. We work with leading PE-backed home services platforms and plan to 5x headcount in 2026, creating a rare opportunity to join early and have outsized impact.Why Join BroccoliMake an Immediate Impact: You’ll ship production features used by real customers within your first few weeksCategory-Defining Work: Help shape how AI employees operate in the $600B home services marketMove Fast: We ship in weeks, not quarters—speed and execution matter hereHigh Ownership: Small team, high trust, and direct collaboration with foundersReal-World Scale: Build systems that handle live voice traffic, real revenue, and operational complexityWhat You’ll DoBuild and scale our AI agent platform, backend services, and internal toolingDesign and develop APIs and deep integrations with platforms like ServiceTitanOwn full product features end-to-end—from idea and design to production and iterationImprove agent intelligence, reliability, and real-time voice performanceWork closely with Product, Customer Success, and Sales to ship high-impact featuresHelp evolve our infrastructure as we scale usage, customers, and revenue What We’re Looking For4-8 years of experience in backend or full-stack software engineeringStrong engineering fundamentals and product intuitionComfortable working in fast-paced, ambiguous startup environmentsExperience building and operating production systems and APIsOwnership mindset—you care deeply about what you ship and how it performs Why BroccoliProven Momentum: $7M ARR today, scaling quicklyElite Backing: $27M raised, Series A led by Khosla VenturesMeaningful Ownership: Equity that reflects real impactCustomer-Driven Engineering: What you build directly affects how customers operateBeautiful South Park Office: Work in-person with a tight-knit, ambitious team

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At ASAPP, our mission is simple: deliver the best AI-powered customer experience—faster than anyone else. To achieve that, we’re guided by principles that shape how we think, build, and execute. We value customer obsession, purposeful speed, ownership, and a relentless focus on outcomes. We work in tight, skilled teams, prioritize clarity over complexity, and continuously evolve through curiosity, data, and craftsmanship.  We’re seeking technologists and problem solvers who thrive in fast-paced environments, love collaborating with great talent, and approach every day like it’s Day 1. We're a globally diverse team with hubs in New York City, Mountain View, Latin America, and India. If you're driven by continuous learning, rapid pivots, and the challenges of building in a high-growth startup, we’d love to talk. This is more than a job—it’s a journey ASAPP is expanding its research team and is looking for an experienced Research Scientist specializing in Conversational AI & Machine Learning. In this role, you will work on solving scientific challenges related to Conversational AI to build domain-specific, real-world solutions. You will have the opportunity to leverage the massive amounts of data generated by our products to ask fundamental research questions, while deploying AI features into real-world applications.What you'll doHands-on Research: Be deeply involved in hands-on technical work in any and all aspects of research projects from early exploration to working prototypes to achieve successful real-world applications.Research Leadership: Identify promising applications of AI relevant to ASAPP’s core mission, formulate and advocate for research programs in those areas, and take ownership of driving impactful research initiatives.Collaboration & Advocacy: Work with cross-functional teams to socialize your research findings, advocate for their application, and guide the productization of those findings to improve customer experience solutions.Documentation & Publication: Document significant experimental results, contribute to publishing peer-reviewed papers, and participate in patenting innovations.Mentorship: Mentor and guide junior researchers, helping them develop their skills in independent research and the communication of their findings.What you'll needEducation: PhD in a relevant field (such as Computer Science, Electrical Engineering, Linguistics, etc.), along with significant experience in research.Technical Expertise: Strong research experience in LLMs, Conversational AI, or Speech systems, including practical knowledge of algorithm design, model development, and experimental evaluation.  Ideally with a focus on real-world applications.Mentorship & Leadership: Experience in coaching and guiding junior researchers or research engineers.Hands-on Contribution: As an individual contributor, you’ll be expected to lead experiments, perform hands-on research, and drive the execution of innovative projects.Enthusiasm: A passion for continued learning and deepening expertise in machine learning and AI, with a strong desire to apply research in impactful ways.What we'd like to seeExperience with Spoken Conversational AI applications or Speech LLMs.Ability to develop and lead independent research programs.A collaborative mindset, eager to share research findings and drive their application across product teams.Experience in a startup environment, with the ability to balance deep research and rapid execution.ASAPP is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at careers@asapp.com to obtain assistance. #LI-GP1 #LI-Hybrid