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About WisprWispr Flow is making it as effortless to interact with your devices as talking to a close friend. Voice is the most natural, powerful way to communicate — and we’re building the interfaces to make that a reality.Today, Wispr Flow is the first voice dictation platform people use more than their keyboards — because it understands you perfectly on the first try. It’s context-aware, personalized, and works anywhere you can type, on desktop or phone.Dictation is just our first act. We’re building the interaction layer for your computer — a system that’s capable, understands you, and earns your trust. It will start by writing for you, then move to taking actions, and ultimately anticipate your needs before you ask.We’re a team of AI researchers, designers, growth experts, and engineers rethinking human-computer interaction from the ground up. We value high-agency teammates who communicate openly, obsess over users, and sweat the details. We thrive on spirited debate, truth-seeking, and real-world impact.This year, we've grown our revenue 50% month-over-month and with our latest $30M Series A, this is just the beginning.About the RoleAs a Principal Software Engineer at Wispr, you’ll play a crucial role in building the first capable, habit forming voice interface that scales to a billion users. Members of our technical staff are responsible for prototyping and designing new features of our voice interface, building infrastructure to handle <500ms LLM inference for millions of requests from everywhere around the world, and scaling the personalization of our speech models and LLMs.What are we looking for?Previous founding or startup experienceFluency in Typescript, React, and PythonUser-focused design intuition and design tasteAttention to detail and eagerness to learnAptitude and clarity of thoughtCreativity, excellence in engineering, and code velocityWe consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

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About UsAt Squint, we're building technology that matters. While many tech companies focus on digital-first industries, we've set our sights on empowering the 80% of the global workforce that keeps our world running: frontline manufacturing operators. From soda cans to tires, toothpaste to chocolate bars, chips to napkin holders, these are the people who build the things you touch and see every single day.The Leading Manufacturing Intelligence PlatformSquint delivers critical knowledge to frontline workers exactly when and where they need it. Our platform transforms manufacturing operations by putting AI and AR capabilities directly at workers' fingertips, creating what we call "agentic manufacturing" – where every team member has the power to make informed decisions in real-time using practical, applied artificial intelligence tools.Proven Impact with Industry LeadersOur technology serves Fortune 500 leaders across Automotive, Consumer Packaged Goods, and Life Sciences industries. These companies trust Squint to capture and activate their essential operational know-how, resulting in measurable improvements: reduced downtime, minimized waste, and optimized productivity at scale.Technology that Respects its UsersWe build consumer-grade software that delivers enterprise-grade results on familiar devices: phones and tablets. By combining cutting-edge innovation with deep customer insights, we create tools that feel intuitive while transforming how physical production environments operate.Backed and Built by the BestWe raised a $40m Series B at a $265m valuation and are backed by elite investors; including Sequoia Capital, Menlo Ventures, TCV and The Westly Group. Our co-founders have been recognized on Forbes' 30 Under 30 for Manufacturing and Industry, and Fast Company named us one of the most innovative augmented and virtual reality companies of 2025.Join Us in Making a DifferenceWhen you join Squint, you're not just building another app – you're creating technology that improves daily work life for people who manufacture the products our world depends on. It's meaningful work with visible impact. Build Your Own Role at Squint If you don't see a perfect fit for your background, feel free to submit a resume below. Let us know what impactful skills and experiences you bring to table and why you'd be a great addition to the team. We're always on the hunt for world-class talent so if there's a fit, we'll reach out! BenefitsCompetitive Salary and EquityComprehensive Medical, Vision, and Dental careFlexible PTO PolicyLunch and Dinner ServiceWellness BenefitMaven Family Planning BenefitsPartnership with Care.comMental Health Services401(k) Retirement PlanPre-Tax Commuter Benefit for Parking & Public TransitCompany-wide Retreats A Final NoteWe are committed to creating a diverse and inclusive workplace. Squint is an equal opportunity employer, welcoming applicants from all backgrounds without regard to race, gender, age, or any other protected characteristic. We encourage you to apply even if you're not quite sure you fit all the requirements for the role! Ready to redefine the future? Join us at Squint and be a part of something revolutionary.

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Join our client's team as a Clinical Director and AI Trainer, where you'll play a crucial role in advancing healthcare AI systems. Use your leadership and expertise in clinical operations to design AI models that enhance medical and health services management for leading organizations. This unique opportunity lets you shape the future of healthcare technology, working collaboratively and flexibly from any location. Key Responsibilities:Train and guide AI models to accurately represent real-world clinical and administrative decision-making within hospitals, clinics, and healthcare networks.Provide insights and feedback on AI system outputs to ensure alignment with best practices in medical and health services management.Collaborate with cross-functional teams to develop AI training materials and case scenarios based on practical healthcare operations.Provide expert knowledge to help AI trainers simulate the role of Medical and Health Services Managers across diverse healthcare settings.Continuously assess and improve AI content for accuracy, credibility, and relevance to healthcare management applications.Ensure all training and development activities comply with regulatory standards, ethical guidelines, and maintain patient confidentiality.Clearly communicate complex clinical concepts in both written and verbal formats to technical and non-technical audiences. Required Skills and Qualifications:Proven experience as a Clinical Director, Medical and Health Services Manager, or similar leadership role within hospitals, clinics, managed care, or public health agencies.Deep understanding of healthcare operations, medical administration, and industry regulations.Exceptional written and verbal communication skills, with the ability to effectively convey nuanced clinical processes.Strong analytical skills and attention to detail when evaluating systems and processes.Ability to collaborate in a remote, cross-functional environment.Commitment to maintaining the highest standards of integrity, confidentiality, and patient safety.Familiarity with AI or digital health technologies, or a strong willingness to develop these skills. Preferred Qualifications:Experience in training or developing healthcare AI or digital tools.Advanced degree in healthcare administration, public health, or a related field.Proven track record of successful leadership in multidisciplinary, technology-driven projects. About RYZ Labs:RYZ Labs is a startup studio founded in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together was their passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge cloud computing technologies to create scalable and resilient applications. We aim to provide diverse product solutions for different industries and plan to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - Every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership - Step up if you see an opportunity to help, even if it's not your core responsibility. - Humility and Respect - Be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done most efficiently. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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Join our client's team as a Concierge and AI Trainer, where you'll be instrumental in developing the next generation of AI models tailored to hospitality services. In this role, you'll leverage your expertise in concierge services to train AI systems, providing comprehensive guidance on guest assistance, service delivery, and hospitality standards. Help bridge the gap between expert human service and advanced AI capabilities. Key Responsibilities:Analyze and review AI-generated responses related to concierge services, providing feedback and corrections for accuracy and appropriateness.Apply industry-specific knowledge to create realistic training scenarios, sample dialogues, and task workflows for an AI training platform.Document and communicate best practices for guest service, including special requests, transportation arrangements, and coordination of business or entertainment services.Collaborate with AI development teams to enhance the depth and empathy of AI interactions.Ensure AI responses meet the high standards of written and verbal communication expected from professional concierges.Monitor and assess AI performance across various hospitality tasks, identifying areas for improvement.Stay informed on industry trends and guest expectations to continuously enrich training data. Required Skills and Qualifications:Proven experience as a concierge or similar guest-facing role in hotels, luxury residences, or office buildings.Strong written and verbal communication skills, with a keen focus on detail and guest experience.Ability to define and articulate complex service workflows and hospitality scenarios.Familiarity with arranging transportation, business services, entertainment, and responding to guest requests.Strong organizational and documentation skills for tracking AI feedback and process improvements.Comfortable working independently in a remote environment and collaborating with cross-functional teams.Passion for both technology and delivering exceptional guest service. Preferred Qualifications:Certification from a hospitality or concierge association (e.g., Les Clefs d'Or).Experience in training or mentoring others in hospitality or related fields.Interest or background in AI training or technology development. About RYZ Labs:RYZ Labs is a startup studio founded in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together was their passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge cloud computing technologies to create scalable and resilient applications. We aim to provide diverse product solutions for different industries and plan to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - Every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership - Step up if you see an opportunity to help, even if it's not your core responsibility. - Humility and Respect - Be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done most efficiently. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: Anthropic is seeking an exceptional leader to drive our strategic go-to-market partnership with cloud partners. In this pivotal role, you will own and scale our most significant strategic relationships for Anthropic’s acceleration into APJ, responsible for large scale revenue opportunities through our cloud partnerships. You will work closely with senior leadership across both partner organizations to drive joint success, shape strategy, and accelerate the adoption of Anthropic's AI capabilities through our Global Partner ecosystem. You will build and lead the strategy to maximize our cloud partnerships potential while ensuring our solutions are deployed safely and responsibly. This role offers the unique opportunity to shape how frontier AI technology is commercialized at massive scale. In this role, you will drive exponential growth for Anthropic in APJ through our cloud partnerships while shaping how companies adopt and implement frontier AI technology. You'll be responsible for building programs that will scale across APJ markets and segments, and developing the blueprint for how we and our cloud partners in the region will partner to drive joint success. Responsibilities: Develop and execute comprehensive GTM strategy for our cloud partnerships, including co-selling motions, enablement programs, and joint business plans Drive strategic planning and execution of joint marketing and sales initiatives, including major customer engagements Build and maintain executive-level relationships across cloud partners Own forecasting, pipeline development, and revenue targets for the partnership Create and implement scalable processes for partnership operations, including escalation management and reporting Provide strategic market intelligence and competitive insights to inform product and business strategy Design and execute segment-specific sales plays and enablement programs Lead cross-functional efforts with U.S. GTM teams, providing strategic direction and operational excellence for how these teams can partner effectively with APJ cloud partners Lead quarterly and annual business reviews with key stakeholders Identify and develop strategic opportunities to expand partnership scope and impact You may be a good fit if you have: 10+ years of enterprise technology experience, with at least 7 years in strategic partnerships and/or enterprise sales leadership. Experience leading strategic partnerships for a B2B SaaS Startup strongly preferred.  Proven track record of 0-1 building and scaling multi-billion dollar technology partnerships in the APJ region, including cloud providers (e.g. AWS, Google Cloud) Deep understanding of enterprise software and cloud services Experience leading large, cross-functional teams in complex organizational environments Strong executive presence and demonstrated ability to influence senior stakeholders Track record of developing and executing successful co-selling strategies Excellence in strategic planning, business operations, and program management Deep understanding of enterprise sales motions and channel dynamics Ability to balance strategic thinking with tactical execution Experience working with technical products and translating complex capabilities into business value  Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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About WisprWispr Flow is making it as effortless to interact with your devices as talking to a close friend. Voice is the most natural, powerful way to communicate — and we’re building the interfaces to make that a reality.Today, Wispr Flow is the first voice dictation platform people use more than their keyboards — because it understands you perfectly on the first try. It’s context-aware, personalized, and works anywhere you can type, on desktop or phone.Dictation is just our first act. We’re building the interaction layer for your computer — a system that’s capable, understands you, and earns your trust. It will start by writing for you, then move to taking actions, and ultimately anticipate your needs before you ask.We’re a team of AI researchers, designers, growth experts, and engineers rethinking human-computer interaction from the ground up. We value high-agency teammates who communicate openly, obsess over users, and sweat the details. We thrive on spirited debate, truth-seeking, and real-world impact.This year, we've grown our revenue 50% month-over-month and with our latest $30M Series A, this is just the beginning.About the RoleAs a iOS engineer at Wispr, you'll be one of the core team members responsible for the designing Wispr's iOS voice assistant, improving the core Flow voice dictation experience, and prototyping and shipping our new voice interface features.What are we looking for?Previous founding or startup experienceFluency in Swift, shipped multiple iOS apps to large userbasesUser-focused design intuition and design tasteAttention to detail and eagerness to learnAptitude and clarity of thoughtCreativity, excellence in engineering, and code velocityRequired Knowledge/Skills, Education, And ExperienceBuilt full-stack personal projects or contributed to open source in Swift (send your best)Incredible attention to detail on design and animationsCare towards code quality and UXStrong programming practices and high-throughput of code across the stackOutstanding team player and communicatorWe consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

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What is Findem: Findem is HR 2.0. We’re a fast-growth startup with an ambitious vision and the technology to back it up. Our People Intelligence platform uses true AI and machine learning to provide critical solutions for talent acquisition and people analytics functions. With the deep insights that our platform provides, companies can build more engaged and diverse teams, and close their talent gaps faster. We have an amazing opportunity to establish ourselves as leaders in this space, and we need strong advocates to help us achieve that goal. We’re backed by top-tier investors including Wing Venture Capital – the same firm that backed Snowflake, Cohesity, and Gong. Findem powers businesses across scaling, pre-IPO, and publicly traded companies who trust us to solve their biggest HR and Talent challenges. We have an incredibly skilled and collaborative team that values curiosity, diversity, openness and building great experiences every day for our customers. Our PM team tends to attract scrappy, collaborative, high-ownership, customer-driven innovators. Emojis, jokes, and pet pictures flow freely in our Slack. Why We Need You: We’re looking for a seasoned Principal Product Manager who can lead one of the most important bets for the company. This role will lead this initiative, including setting strategy / KPIs, driving product choices and delivering high impact. You will be comfortable getting hands-on with detailed, nuanced product choices, while also understanding the larger path ahead with your overall strategy. Finally, to land a great outcome, you will need to be an excellent cross-functional collaborator. What You'll Do:Scope: Lead a major product at Findem, including setting long-term strategy, and making the business case for more investmentInsights: Own the company’s thesis for the market segment including the target buyer and customer personas and their most important needsProduct craft: Bring robust, first-principle, out of the box thinking to our problem space, and using quantitative and qualitative data to drive your conclusionsCrafted execution: Work closely with engineering to focus our efforts on the most impactful innovations, owning prioritization, unblocking major issues, and landing product milestonesCommunication: Working cross-functionally with marketing, GMs, support, and other stakeholders to drive alignment to the right goals. Your Working Experience:7+ years as a product manager, ideally with startup experienceExperience doing 0->1 and 1->10 product buildingExperience in with B2B PLG products, B2B SaaS (especially for multi-step workflows)Ability to drive short term execution while building towards (and testing) a long term vision What Makes You a Great Fit:Prior experience with assisting or automating manual workflowsPrior experience in recruiting or HR softwarePrior experience in AI/ML products

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About LuminaiNearly every organization in the world relies on complex manual work to carry out critical internal processes. These are processes that keep the world going — enrolling patients in a hospital, underwriting loans inside a bank, or processing new transactions for an airline. Yet most companies don’t have enough resources to properly automate these tasks and are stuck in manual, decades old way of doing things. At Luminai, we develop technology to automate long-form organization wide workflows of any complexity easily and safely using AI. Luminai serves some of the world’s most critical organizations in sectors like Healthcare, Finance, and Telecommunication to delegate mission-critical workflows that previously required hands-on human involvement, over to autonomous AI systems. Our approach combines frontier AI development, with a purpose built workflow execution engine to achieve this goal. We've raised significant amounts of capital (including some un-announced) from many of the best Silicon Valley VCs: General Catalyst, YCombinator, and investors including Kevin Weil (Chief Product Officer at OpenAI), Arash Ferdowsi (co-founder of Dropbox), Katie Stanton (former VP Global Media, Twitter) and CEOs of companies including Flexport, Notion, Front, Ramp and Twitch.What you’ll doAs a Product Manager on the Luminai team, your mission will be to define, build, and launch new 0 to 1 products to drive high user impact across healthcare organizations.Within your first 6 months at Luminai, you’ll be responsible for successfully launching and scaling new frontier offerings. As a product leader, you’ll be responsible for the entire lifecycle of new product initiatives--from product scoping to scaled rollout.Define and scope frontier products: Build a deep understanding of customer needs and translate them into actionable product specifications within the first 3 months. Deliver meaningful product capabilities that enhance customer value and support Luminai mission within the first 6 months.Build, launch and scale: Lead the entire product lifecycle, from ideation and prototyping to launch and post-launch optimization. Collaborate closely with cross-functional teams to ensure seamless, scalable implementations within the first 6 months.Platform strategy: Develop and maintain a product roadmap aligned with business goals, balancing short-term deliverables with long-term strategy. Set clear, measurable OKRs and track product success against these metrics for product area.Product ownership: Act as the driving force behind collaboration between product, engineering, design, and GTM teams and enablement for sales and customer success to ensure your platform delivers customer value.Who we're looking forYou have 3+ years of product experience working on 0 to 1 problemsYou have a founder / ownership mindset to product management with a proven ability to take products from ideation through launch and scaleStrong functional technical understanding, with experience managing platform-related products, APIs, or cloud-based systems.You can set and track against OKRs and take a proactive ownership mindset to keep leadership informed on accomplishments and next stepsYou have a strong track record of aligning across multiple cross-functional teams and leading product initiatives by working effectively with engineering, design, and other stakeholdersProficiency in defining key product metrics, tracking success, and making data-driven decisions.You are comfortable working with engineering teams and understanding technical trade-offs, with experience writing detailed product specifications for both technical and non-technical audiencesYou are results-oriented and focus on delivering measurable value for customers, always tracking and achieving key product metrics

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Work With UsAt Liquid, we’re not just building AI models—we’re redefining the architecture of intelligence itself. Spun out of MIT, our mission is to build efficient AI systems at every scale. Our Liquid Foundation Models (LFMs) operate where others can’t: on-device, at the edge, under real-time constraints. We’re not iterating on old ideas—we’re architecting what comes next.We believe great talent powers great technology. The Liquid team is a community of world-class engineers, researchers, and builders creating the next generation of AI. Whether you're helping shape model architectures, scaling our dev platforms, or enabling enterprise deployments—your work will directly shape the frontier of intelligent systems.This Role Is For You If:You have extensive experience building distributed training infrastructure for language and multimodal models, with hands-on expertise in frameworks like PyTorch Distributed, DeepSpeed, or Megatron-LMYou're passionate about solving complex systems challenges in large-scale model training—from efficient multimodal data loading to sophisticated sharding strategies to robust checkpointing mechanismsYou have a deep understanding of hardware accelerators and networking topologies, with the ability to optimize communication patterns for different parallelism strategiesYou're skilled at identifying and resolving performance bottlenecks in training pipelines, whether they occur in data loading, computation, or communication between nodesYou have experience working with diverse data types (text, images, video, audio) and can build data pipelines that handle heterogeneous inputs efficientlyDesired Experience:You've implemented custom sharding techniques (tensor/pipeline/data parallelism) to scale training across distributed GPU clusters of varying sizesYou have experience optimizing data pipelines for multimodal datasets with sophisticated preprocessing requirementsYou've built fault-tolerant checkpointing systems that can handle complex model states while minimizing training interruptionsYou've contributed to open-source training infrastructure projects or frameworksYou've designed training infrastructure that works efficiently for both parameter-efficient specialized models and massive multimodal systemsWhat You'll Actually Do:Design and implement high-performance, scalable training infrastructure that efficiently utilizes our GPU clusters for both specialized and large-scale multimodal modelsBuild robust data loading systems that eliminate I/O bottlenecks and enable training on diverse multimodal datasetsDevelop sophisticated checkpointing mechanisms that balance memory constraints with recovery needs across different model scalesOptimize communication patterns between nodes to minimize the overhead of distributed training for long-running experimentsCollaborate with ML engineers to implement new model architectures and training algorithms at scaleCreate monitoring and debugging tools to ensure training stability and resource efficiency across our infrastructureWhat You'll Gain:The opportunity to solve some of the hardest systems challenges in AI, working at the intersection of distributed systems and cutting-edge multimodal machine learningExperience building infrastructure that powers the next generation of foundation models across the full spectrum of model scalesThe satisfaction of seeing your work directly enable breakthroughs in model capabilities and performanceAbout Liquid AISpun out of MIT CSAIL, we’re a foundation model company headquartered in Boston. Our mission is to build capable and efficient general-purpose AI systems at every scale—from phones and vehicles to enterprise servers and embedded chips. Our models are designed to run where others stall: on CPUs, with low latency, minimal memory, and maximum reliability. We’re already partnering with global enterprises across consumer electronics, automotive, life sciences, and financial services. And we’re just getting started.

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Work With UsAt Liquid, we’re not just building AI models—we’re redefining the architecture of intelligence itself. Spun out of MIT, our mission is to build efficient AI systems at every scale. Our Liquid Foundation Models (LFMs) operate where others can’t: on-device, at the edge, under real-time constraints. We’re not iterating on old ideas—we’re architecting what comes next.We believe great talent powers great technology. The Liquid team is a community of world-class engineers, researchers, and builders creating the next generation of AI. Whether you're helping shape model architectures, scaling our dev platforms, or enabling enterprise deployments—your work will directly shape the frontier of intelligent systems.This Role Is For You If:You have experience writing high-performance, custom GPU kernels for training or inference.You have an understanding of low-level profiling tools and how to tune kernels with such tools.You have experience integrating GPU kernels into frameworks like PyTorch, bridging the gap between high-level models and low-level hardware performance.You have a solid understanding of memory hierarchy and have optimized for compute and memory-bound workloads.You have implemented fine-grain optimizations for a target hardware, e.g. targeting tensor cores.Desired Experience:CUDACUTLASSC/C++PyTorch/TritonWhat You'll Actually Do:Write high-performance GPU kernels for inference workloads.Optimize alternative architectures used at Liquid across all model parameter sizes.Implement the latest techniques and ideas from research into low-level GPU kernels.Continuously monitor, profile, and improve the performance of our inference pipelines.What You'll Gain:Hands-on experience with state-of-the-art technology at a leading AI company.Deeper expertise in machine learning systems and performance optimization.Opportunity to bridge the gap between theoretical improvements in research and effective gains in practice.A collaborative, fast-paced environment where your work directly shapes our products and the next generation of LFMs.About Liquid AISpun out of MIT CSAIL, we’re a foundation model company headquartered in Boston. Our mission is to build capable and efficient general-purpose AI systems at every scale—from phones and vehicles to enterprise servers and embedded chips. Our models are designed to run where others stall: on CPUs, with low latency, minimal memory, and maximum reliability. We’re already partnering with global enterprises across consumer electronics, automotive, life sciences, and financial services. And we’re just getting started.

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Work With UsAt Liquid, we’re not just building AI models—we’re redefining the architecture of intelligence itself. Spun out of MIT, our mission is to build efficient AI systems at every scale. Our Liquid Foundation Models (LFMs) operate where others can’t: on-device, at the edge, under real-time constraints. We’re not iterating on old ideas—we’re architecting what comes next.We believe great talent powers great technology. The Liquid team is a community of world-class engineers, researchers, and builders creating the next generation of AI. Whether you're helping shape model architectures, scaling our dev platforms, or enabling enterprise deployments—your work will directly shape the frontier of intelligent systems.This Role Is For You If:You want to play a critical role in our foundation model development process, focusing on consolidating, gathering, and generating high-quality text data for pretraining, midtraining, SFT, and preference optimizationRequired Experience:Experience Level: B.S. + 5 years experience or M.S. + 3 years experience or Ph.D. + 1 year of experienceDataset Engineering: Expertise in data curation, cleaning, augmentation, and synthetic data generation techniquesMachine Learning Expertise: Ability to write and debug models in popular ML frameworks, and experience working with LLMsSoftware Development: Strong programming skills in Python, with an emphasis on writing clean, maintainable, and scalable codeDesired Experience:M.S. or Ph.D. in Computer Science, Electrical Engineering, Math, or a related field.Experience fine-tuning or customizing LLMsFirst-author publications in top ML conferences (e.g. NeurIPS, ICML, ICLR).Contributions to popular open-source projectsWhat You'll Actually Do:Create and maintain data cleaning, filtering, selection pipeline than can handle >100TB of dataWatch out for the release of public dataset on huggingface and other platformsCreate crawlers to gather datasets from the web where public data is lackingWrite and maintain synthetic data generation pipelinesRun ablations to assess new dataset and judging pipelinesWhat You'll Gain:Hands-on experience with state-of-the-art technology at a leading AI companyA collaborative, fast-paced environment where your work directly shapes our products and the next generation of LFMsAbout Liquid AISpun out of MIT CSAIL, we’re a foundation model company headquartered in Boston. Our mission is to build capable and efficient general-purpose AI systems at every scale—from phones and vehicles to enterprise servers and embedded chips. Our models are designed to run where others stall: on CPUs, with low latency, minimal memory, and maximum reliability. We’re already partnering with global enterprises across consumer electronics, automotive, life sciences, and financial services. And we’re just getting started.

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The Opportunity Are you an experienced Senior Software Engineer, Backend (Product) looking to make a significant impact at the intersection of scalable web services and cutting-edge AI technologies? We're seeking a talented engineer to lead the development, deployment, and management of web services and infrastructure that empower AI-driven products and initiatives. As part of our dynamic engineering team, you'll collaborate closely with AI researchers, product managers, and technologists to deliver innovative solutions that transform the experiences of end-user professionals and enterprise clients across diverse industries. Your Impact Leverage your extensive experience in Python to build and enhance backend systems that seamlessly integrate with machine learning and AI-driven features. Design and implement robust business logic using web frameworks such as Django, ensuring compatibility with AI components and integration with Databases, e.g. MySQL, Cassandra, etc. Architect scalable solutions utilizing technologies like Nginx, Kafka, MySQL, Cassandra, Redis, and big data platforms to support sophisticated AI models and workflows. Write reusable, efficient, and maintainable code that underpins our high-performance web services and supports real-time AI analytics. Collaborate closely with AI teams to streamline data pipelines, optimize model deployment, and ensure backend systems effectively support AI-based product features. Communicate effectively with stakeholders across multiple teams, clearly articulating technical strategies related to AI-enabled infrastructure. Work directly on enterprise-grade integrations, developing scalable APIs, SSO connectors, and secure data exchange layers that enable seamless adoption of Otter’s platform within diverse customer environments, including CRMs, conferencing platforms, and compliance systems. We're looking for someone who Has 5+ years of experience in developing and architecting large-scale web services, preferably with exposure to supporting AI systems. Holds a Bachelor's, Master's, or Ph.D. in Computer Science or a related field. Demonstrates strong expertise in databases, distributed systems, backend performance optimization, and familiarity with backend requirements for machine learning infrastructure. Possesses expert proficiency in Python or other programming languages such as Go, Java, or C++. Has extensive experience with web frameworks like Django and is comfortable integrating systems with technologies such as MySQL, Redis, Elasticsearch, Kafka, and Cassandra, particularly in support of AI workflows. Demonstrates a solid understanding of database internals, transactions, indexing, and experience in schema design optimized for AI data workloads. Has hands-on experience deploying and managing services on AWS, particularly those interfacing with machine learning platforms. Is driven by ownership and passionate about delivering impactful solutions from conception to deployment, especially in collaborative environments with AI-focused teams. Brings substantial production server experience or equivalent backend expertise to the table. Has excellent communication skills, a genuine curiosity for technology, and meticulous attention to detail. Nice to haves Familiarity with HTTP, networking principles, and API design patterns beneficial to AI integrations. Experience with operating systems, particularly Linux, and an understanding of their interactions with AI applications and services. About Otter.ai  We are in the business of shaping the future of work. Our mission is to make conversations more valuable. With over 1B meetings transcribed, Otter.ai is the world’s leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are dedicated to inclusivity. *Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any Otter.ai employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate. Salary range Salary Range: $185,000 to $210,000 USD per year. This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent on several factors. Our base salary is just one component of a comprehensive total rewards package.

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The Company Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.   The Role  We are seeking a Senior Computer Vision Test Engineer with a passion for quality, automation, and real-world impact. In this role, you will be responsible for designing, developing, and executing robust test strategies for cutting-edge perception systems.  At Metropolis, we build complex, distributed computer vision systems that span a wide range of platforms, from cameras and embedded edge devices to large-scale cloud infrastructures. These systems power, critical, real-time decisions across parking and new verticals. As a Senior Test Engineer, you will play a pivotal role in verifying that each component in this ecosystem functions correctly in isolation and as part of an integrated system. You’ll collaborate closely with engineers across software, hardware, and machine learning teams to define test coverage, develop test harnesses, and identify edge cases that impact performance in production. You will also help shape and improve our continuous integration pipelines and automated validation frameworks to support fast iteration and robust releases. Responsibilities Design and implement test plans, test cases, and test automation frameworks for computer vision and machine learning pipelines. Validate the end-to-end performance of CV applications such as object detection, classification, and tracking under diverse scenarios and edge cases. Analyze system-level behavior and KPIs (latency, accuracy, robustness) using metrics-driven methodologies. Develop tools for test data generation, synthetic validation, and visualization of perception outputs. Collaborate with software, ML, hardware, and QA teams to ensure end-to-end system validation and release readiness. Investigate, root-cause, and document bugs and issues across the perception stack. Drive continuous improvement in test coverage, test automation, and system reliability.   Qualifications  Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field. 5+ years of hands-on experience in software or system testing, with at least 2 years focused on computer vision (CV), perception, or machine learning systems in production. Proficiency in Python and C++ for test automation and strong experience with unit testing frameworks like GTest or PyTest. Experience designing and implementing end-to-end test strategies for distributed systems, including using version control like Git and CI/CD pipelines like Jenkins or GitHub Actions. Solid understanding of computer vision concepts such as detection, tracking, segmentation, and 2D/3D geometry. Demonstrated experience testing perception or computer vision systems in real-world or hardware-in-the-loop (HIL) environments. Familiarity with common ML frameworks like PyTorch and TensorFlow, and CV libraries like OpenCV. Strong debugging, profiling, and log analysis skills, especially in embedded or real-world deployment environments. Experience with containerization tools like Docker and simulation platforms such as CARLA or NVIDIA Drive Sim. Excellent communication skills with a strong ownership mindset and the ability to work independently.   When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $150,000.00 to $180,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.  #LI-NM1 #LI-Onsite Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.  

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Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build. We’re hiring Helix Operators to support our humanoid robot development efforts. This role begins as a hands-on, full-time one-month contract as a Data Collector, where you’ll wear sensors provided by Figure to guide and collect motion data that trains our robots. It’s a great opportunity for anyone excited to get into robotics and grow from within. Depending on your performance, skills, and interests, you may grow into longer-term roles like Robot Operator, Pilot Support, or even a full Humanoid Pilot role. Shift: 8:30 AM – 5:00 PM (Monday to Friday)   Responsibilities:  Wear sensor equipment to guide the robot through human-like motions Collect high-quality motion data used to train AI models Flag any issues or bugs during collection and share daily feedback with the team Follow proper equipment and robot maintenance procedures, including setup and shutdown Maintain a safe and organized workspace during all operations Requirements:  Excellent physical coordination, spatial awareness, and focus Stay on your feet for 8+ hours a day and be engaged for extended periods during data collection Master new physical tasks quickly and find the optimal way to perform them Embrace constructive feedback and strive for constant improvement Thrive in a fast paced environment Bonus Qualifications: Experience working with robots or troubleshooting mechanical systems A passion for helping scale the deployment of learning humanoid robots This is a one-month contract-to-hire position, with potential for longer-term opportunities depending on your contributions and interests. We’re looking for motivated people who want to support real-world robot development—and grow with us. The US base salary range for this full-time position starts at $30/hr.  The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

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The Opportunity We are seeking an experienced Cloud Security Engineer to join our team. The successful candidate will be responsible for designing, implementing, and maintaining the security of our cloud infrastructure and applications. This includes ensuring compliance with regulatory requirements, identifying and mitigating security risks, and collaborating with DevOps teams to ensure secure cloud deployments.  Your Impact Design and implement secure cloud architectures and configurations Conduct cloud security assessments and risk analyses Implement and manage cloud security controls, such as firewalls, access controls, and encryption technologies Monitor cloud security logs and investigate security alerts Respond to security incidents and develop incident response plans Ensure cloud compliance with regulatory requirements, such as HIPAA, PCI-DSS, and GDPR Collaborate with DevOps teams to ensure secure cloud deployments Develop and deliver security awareness training programs Stay up-to-date with emerging cloud security threats and technologies We're looking for someone who 4+ years of experience in cloud security engineering Strong knowledge of cloud security architectures, controls, and compliance requirements Expertise in the security of public cloud platforms (e.g. AWS, Microsoft Azure), especially securing multi-cloud networks and infrastructure, and designing cloud agnostic systems. Understand container security, network security, and cloud security services Experience building cloud security infrastructure (e.g. logging, monitoring vuln management, DLP)   Strong understanding of security frameworks, such as NIST and ISO 27001 Excellent problem-solving and analytical skills Strong communication and collaboration skills Bachelor's degree in Computer Science, Cybersecurity, or related field About Otter.ai  We are in the business of shaping the future of work. Our mission is to make conversations more valuable. With over 1B meetings transcribed, Otter.ai is the world’s leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are dedicated to inclusivity. *Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any Otter.ai employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate. Salary range Salary Range: $185,000 to $210,000 USD per year This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent based on several factors. Our base salary is just one component of our comprehensive total rewards package.

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About UsZeromark builds AI-driven counter-drone systems that actually work in combat. No PowerPoints. No hype. Just field-proven technology that saves lives.We've doubled year-over-year for two straight years, winning contracts that prove what we've always known: real innovation happens in the dirt, not in conference rooms. Our systems transform standard weapons into AI-powered platforms that detect, track, and neutralize drone threats—because a $200 drone shouldn't require a million-dollar countermeasure.Here's what makes us different: ZeroMark operators don't build from behind screens. You'll validate tech from Blackhawk helicopters, train alongside Tier-1 units (who happen to be our coworkers), and test at legendary ranges from White Sands to the cliffs of Hawaii. When we say field-tested, we mean you'll shoot it, fly with it, and push it to failure. We don't tweet about changing the world—we're too busy actually doing it. Dark humor required, thick skin recommended.If you want to make an actual impact—and have some unforgettable Tuesday afternoons along the way—let's talk. We're all about delivering practical, field-tested tech, not just theories.The RoleWe are seeking a highly skilled and experienced Senior Machine Learning Generalist to join our talented team. This individual will play a crucial role in designing, developing, and deploying machine learning models across various defense applications. You will work closely with both our general software engineering team and our computer vision engineering team, bridging the gap between foundational software development and advanced computer vision applications. This role requires a strong understanding of diverse ML techniques, excellent problem-solving abilities, and the capacity to adapt to evolving project needs.ResponsibilitiesDesign, develop, and implement end-to-end machine learning pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.Collaborate with the general software engineering team to integrate ML models into existing software systems and ensure scalability and maintainability.Work in conjunction with computer vision specialists to apply and optimize ML techniques for image and video analysis, object detection, tracking, and recognition in defense contexts.Research and evaluate new machine learning algorithms, tools, and technologies to enhance our capabilities and solve challenging problems.Perform rigorous model testing, validation, and performance tuning to ensure robustness and accuracy in real-world scenarios.Contribute to the development of best practices for ML engineering, including MLOps, version control, and reproducible research.Mentor junior engineers and contribute to a culture of continuous learning and knowledge sharing.Communicate technical concepts effectively to both technical and non-technical stakeholders.QualificationsEducation: Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.Experience: 5+ years of experience in machine learning engineering, with a proven track record of deploying ML models in production environments.Technical Skills:Strong proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).Solid understanding of core machine learning concepts, including supervised, unsupervised, and reinforcement learning.Experience with various machine learning model architectures and their application (e.g., CNNs, RNNs, Transformers, decision trees, support vector machines).Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).Experience with MLOps tools and practices.Experience deploying a variety of edge systems.Experience with TensorRT and other similar technologies.Deep knowledge of C++ and Python.Domain Knowledge:Experience or strong interest in defense, aerospace, or related industries is highly desirable.Understanding of the unique challenges and considerations for deploying ML in defense applications (e.g., adversarial robustness, real-time constraints, data security).Collaboration & Communication:Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.Ability to translate complex technical concepts into clear and concise language.Problem-Solving:Strong analytical and problem-solving skills, with a proactive and innovative approach.Ability to work independently and manage multiple priorities in a fast-paced environment.Preferred QualificationsExperience with specific computer vision tasks such as object detection, segmentation, or tracking.Familiarity with real-time ML systems and embedded systems.Contributions to open-source projects or publications in relevant fields.

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About UsZeromark builds AI-driven counter-drone systems that actually work in combat. No PowerPoints. No hype. Just field-proven technology that saves lives.We've doubled year-over-year for two straight years, winning contracts that prove what we've always known: real innovation happens in the dirt, not in conference rooms. Our systems transform standard weapons into AI-powered platforms that detect, track, and neutralize drone threats—because a $200 drone shouldn't require a million-dollar countermeasure.Here's what makes us different: ZeroMark operators don't build from behind screens. You'll validate tech from Blackhawk helicopters, train alongside Tier-1 units (who happen to be our coworkers), and test at legendary ranges from White Sands to the cliffs of Hawaii. When we say field-tested, we mean you'll shoot it, fly with it, and push it to failure. We don't tweet about changing the world—we're too busy actually doing it. Dark humor required, thick skin recommended.If you want to make an actual impact—and have some unforgettable Tuesday afternoons along the way—let's talk. We're all about delivering practical, field-tested tech, not just theories.What You'll Do:As an Electrical Design Engineer, you'll be instrumental in designing, developing, and testing the core electronic systems for our next-generation counter-drone platforms. Your responsibilities will include:Circuit Design: Architecting and implementing complex analog and digital circuits for RF, power management, signal processing, and control systems.PCB Layout: Designing multi-layer printed circuit boards (PCBs) with a focus on signal integrity, power delivery, and manufacturability.Component Selection: Identifying and evaluating electronic components, ensuring optimal performance, reliability, and cost-effectiveness.Prototyping & Testing: Building and testing prototypes, performing rigorous validation and verification to ensure designs meet stringent performance and reliability requirements.Firmware & Software Collaboration: Working closely with firmware and software engineers to integrate hardware and ensure seamless system functionality.Troubleshooting & Optimization: Diagnosing and resolving hardware issues, and continuously optimizing designs for performance, efficiency, and robustness.Documentation: Creating comprehensive design documentation, schematics, layouts, and test procedures.What You’ll Need:We're seeking a highly motivated and skilled Electrical Design Engineer with:Education: Bachelor's or Master's degree in Electrical Engineering or a related field.Experience: 5+ years of experience in electrical hardware design, preferably in the defense, aerospace, or related high-tech industries.Technical Expertise:Strong proficiency in analog and digital circuit design.Hands-on experience with PCB design tools (e.g., Altium Designer, OrCAD, Eagle).Knowledge of RF principles and high-speed digital design.Experience with microcontrollers, FPGAs, and embedded systems.Familiarity with various communication protocols (e.g., I2C, SPI, UART, Ethernet).Proficiency in using lab equipment (oscilloscopes, spectrum analyzers, network analyzers).Problem-Solving Skills: Excellent analytical and problem-solving abilities with a keen eye for detail.Team Player: Ability to collaborate effectively in a dynamic, cross-functional team environment.Innovation: A passion for innovation and a desire to contribute to cutting-edge technology.Security Clearance: Ability to obtain and maintain a U.S. security clearance (U.S. citizenship required).Bonus Points For:Experience with counter-drone systems or related defense technologies.Familiarity with DFM (Design for Manufacturability) and DFT (Design for Testability).Knowledge of electromagnetic compatibility (EMC) and electromagnetic interference (EMI) principles.Why Join Us?Impactful Work: Contribute to critical national security initiatives and make a real difference in protecting lives and assets.Cutting-Edge Technology: Work on groundbreaking technologies in a rapidly evolving field.Dynamic Environment: Thrive in a fast-paced, agile startup culture where your ideas are valued.Growth Opportunities: Grow your career alongside a rapidly expanding company.Competitive Compensation: Receive a competitive salary and benefits package.If you're ready to take on exciting challenges and be a part of a team that's shaping the future of defense technology, apply now!

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About the Role We’re seeking a top tier Program Manager – AI Solutions to support end-to-end implementation of AI solutions at enterprise customer organizations. You will establish and maintain robust project management infrastructure, coordinate cross-functional teams, and ensure timely delivery of AI solutions that deliver against customer expectations. This is an exciting opportunity to work on the forefront of Generative AI with some of the leading brands in the world. This is a fully remote role based in the United States or Canada. Key Responsibilities Program Leadership: Own the full lifecycle of AI solutions projects—from requirements gathering through development, deployment, and post-launch optimization. Project Management Infrastructure: Design and implement standardized processes, tools, and templates (e.g., status dashboards, delivery templates) to support consistent, scalable AI solution delivery. Cross-Functional Collaboration: Coordinate with Sales, Applied AI, Research, Product, and Engineering to drive alignment and remove roadblocks. Stakeholder Communication: Provide regular updates to senior leadership on customer project status, milestones, and risks. Risk & Issue Management: Proactively identify, assess, and mitigate risks; escalate issues appropriately, and document resolutions to continuously improve delivery processes. Resource & Budget Planning: Define resource requirements, track team and project utilization, and optimize allocation across multiple concurrent AI initiatives. Change Management: Develop and execute change-management plans (training materials, user guides, rollout schedules) to drive adoption of AI-powered solutions within the business. Continuous Improvement: Gather and analyze post-implementation metrics, collect stakeholder feedback, and drive lessons-learned sessions to refine methodologies and accelerate future deployments. Qualifications 5+ years of program or project management experience at a technology or consulting/services company focused on technology implementation and delivery. Demonstrated ability to manage a high volume of complex, multi-stakeholder technology delivery projects end-to-end. Proficiency with project-management tools (e.g., Jira, Asana, MS Project) and familiarity with Agile/Scrum and Waterfall methodologies. Exceptional organizational skills with a proven track record of building and scaling PM infrastructures. Outstanding verbal and written communication skills; experience presenting to C-level executives. Bachelor’s degree in Computer Science, Engineering, Business, or a related field; MBA or advanced degree a plus. PMP, PgMP, or Scrum Master certification preferred. Compensation The salary range for this role is between $130,000-$150,000 USD if based in the US and between $100,000-$120,000 CAD if based in Canada. Individual pay within the range is based on factors like job-related skills and experience. Total compensation also includes stock options and benefits. Equal Employment Opportunity: We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. 

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Appier is a technology company which aims to provide artificial intelligence platforms to help enterprises solve their most challenging business problems. Appier was established in 2012 by a passionate team of computer scientists and engineers with expertise in AI, data analysis, distributed systems, and marketing. About the Role: We are looking for a highly strategic, entrepreneurial, and impact-driven Investment Partner to join Appier's Strategy Team. This high-impact leadership role is responsible for driving Appier's strategic investments in early-stage startups (Seed to Series A), focusing on companies with innovative technologies especially around the theme of agentic AI. You will lead the end-to-end investment process, from sourcing and due diligence to deal execution and portfolio management, working closely with C-level leadership. This role combines deep market insight, rigorous financial analysis, and a strong ability to build relationships with founders and the broader startup community to unlock strategic growth opportunities for Appier.   Responsibilities Lead and build the end-to-end process of sourcing, evaluation, and execution of new investment opportunities in early-stage startups (Seed to Series A). Conduct comprehensive due diligence, including market analysis, competitive landscape, technology assessment, financial modeling, and team evaluation. Present investment recommendations to Appier's leadership and investment committee, articulating strategic fit and potential returns. Negotiate investment terms and structures to align with Appier's strategic and financial objectives. Support portfolio companies post-investment, providing strategic guidance, fostering synergies with Appier's products and teams, and assisting with follow-on funding rounds. Build and maintain strong relationships with founders, venture capitalists, incubators, and other key players in the startup ecosystem. Collaborate with Appier's product, engineering, and business development teams to identify and evaluate potential strategic partnerships arising from the investment pipeline. Develop and refine Appier's investment thesis and strategy in alignment with overall corporate objectives   About you 10+ years of experience in venture capital, corporate venture capital, private equity, or strategic investment roles, with a proven track record of successful investments in early-stage technology companies. Strong analytical, financial modeling, and business case development skills, particularly in early-stage valuations. Deep understanding of the AI, advertising technology, and marketing technology landscapes. Proven ability to identify, evaluate, and lead complex investment deals. Excellent written and oral communication skills in English and Mandarin. Established network within the global startup and venture capital communities. Entrepreneurial mindset with a bias for action and execution, comfortable working independently and as part of a lean, high-performing team.   #LI-JP1  

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Shape the Future of AI At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially. About Labelbox We're the only company offering three integrated solutions for frontier AI development: Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling Why Join Us High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions. Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence. Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution. Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI. Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics. Role Overview As an Applied Research intern at Labelbox, you will design, build, and productionize evaluation and post‑training systems for frontier LLMs and multimodal models. You’ll own continuous, high-quality evals and benchmarks (reasoning, code, agent/tool‑use, long‑context, vision‑language, et al.), create and curate post‑training datasets (human + synthetic), and prototype RLHF/RLAIF/RLVR/RM/DPO‑style training loops to measure and improve real‑world task and agent performance. Your Impact Build and own evaluation and benchmark suites for reasoning, code, agents, long‑context, and V/LLMs. Create post‑training datasets at scale: design preference/critique pipelines (human + synthetic), and target hard failures surfaced by evals. Experiment and prototype RLHF/RLAIF/RLVR/RM/DPO‑style training loops to improve real-world task and agent performance. Land research in product: ship improvements into Labelbox workflows, services, and customer‑facing evaluation/quality features; quantify impact with customer and internal metrics. Engage with customer research teams: run pilots, co‑design benchmarks, and share practical findings through internal research reports, blog posts, talks, and published papers. What You Bring A strong foundation in AI and machine learning, backed by a Ph.D. or Master’s degree in Computer Science, Machine Learning, AI, or a related field (in progress degrees are acceptable for intern positions). A deep understanding of frontier autoregressive and diffusion multimodal models, along with the human and synthetic data strategies needed to optimize them. Passion and experience for LLM evaluation and benchmarking. Expertise in training data quality construction, measurement and refinement. The ability to bridge research and application by interpreting new findings and translating them into functional prototypes. A track record of publishing in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL) and contributing to the broader research community. Proficiency in Python and experience with deep learning frameworks like PyTorch, JAX, or TensorFlow. Exceptional communication and collaboration skills. Applied Research at Labelbox At Labelbox Applied Research, we're committed to pushing the boundaries of AI and data-centric machine learning, with a particular focus on advancing human-AI interaction techniques. We believe that high-quality human data and sophisticated human feedback integration methods are key to unlocking the next generation of AI capabilities. Our research team works at the intersection of machine learning, human-computer interaction, and AI ethics to develop innovative solutions that can be practically applied in real-world scenarios.Labelbox strives to ensure pay parity across the organization and discuss compensation transparently.  The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.Annual base salary range$35—$45 USDLife at Labelbox Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making Growth: Career advancement opportunities directly tied to your impact Vision: Be part of building the foundation for humanity's most transformative technology Our Vision We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs. Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs. Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice. Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.