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Your New Role and TeamSanctuary, a world leader in building AI-based control systems for humanoid robots, is seeking a Staff Research Scientist to join our team in engineering and innovating unique robotic manipulation tasks. As a Staff Research Scientist, your role will involve choosing the most cutting-edge methods, creating training and data collection systems, overseeing the evaluation of these algorithms in simulated environments, and implementing them on our robots in real-world situations. You will also enjoy the exclusive chance to make a meaningful impact by working with novel haptic and proprioceptive sensing techniques, thanks to our in-house robot with dexterous hands. Success CriteriaCreate, develop, and enhance cutting-edge Reinforcement Learning (RL) and Imitation Learning (IL) algorithms and evaluate their performance in practical applicationsStay current with the latest developments in RL/IL techniques and their application in roboticsIdentify, communicate, and lead research initiatives that show promise to the wider ML teamDiscover strategies for enhancing current RL/IL learning processes, considering key performance metrics like sample efficiency, speed, computational resources, and scalabilityDevise RL/IL training and data collection pipelines to expedite implementation on physical robotsCollaborate within a diverse team to devise innovative algorithms and investigate the root causes of errors in existing implementations Your ExperienceQualificationsPh.D. in Machine Learning, Computer Science, Applied Mathematics, or equivalent practical background in Reinforcement Learning and/or Imitation Learning 5+ years of hands-on experience implementing and deploying robotic manipulation tasks, both in simulation and on physical robots5+ years of practical experience applying various Reinforcement Learning and/or Imitation Learning methods, with focus on robotics in the real world4+ years experience in developing and optimizing large-batch parallel simulations for Reinforcement LearningProven expertise in continual learning, employing adaptive model training to improve long-term performance and accuracyProven expertise in sim-to-real transferExperience in transitioning Machine Learning research and trained models into real-world productionActive involvement in integrating Machine Learning models into a robotics platformA track record of publishing research in esteemed AI conferences such as ICRA, IROS and CORL SkillsDevelopment with Python 3.8 or laterWorking knowledge of PyTorch and/or TensorFlowFamiliarity with ROS2Expertise in use of Reinforcement Learning principles and their applicationExperience with Atlassian tools; Jira, Confluence, or equivalent i.e. GitLab TraitsAbove all else, a consistently positive attitude and a willingness to do whatever it takes to create robust solutions to complex problemsStrong leadership skills in organizing R&D work for ML projectsEager to take on new challenges with tenacity and positivityPatience, persistence, and attention to detail when resolving performance issuesEnthusiasm for bringing human-like intelligence to machinesAbility to drive development of new functionalities from concept to productionAbility to multitask and prioritize in a fast paced environment

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role We are seeking a skilled AI Banking Data Specialist to enhance xAI’s AI models by providing high-quality data annotations and inputs tailored to banking contexts. In this role, you will leverage your expertise in corporate banking operations, retail banking services, loan processing, customer account management, and financial product offerings to support the training of AI systems. You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world banking dynamics. This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment. Responsibilities Utilize proprietary software to provide accurate input and labels for banking projects, ensuring high-quality data for AI model training. Deliver curated, high-quality data for scenarios involving corporate banking operations, retail banking services, loan processing, customer account management, and financial product offerings. Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies. Assist in designing and improving efficient annotation tools tailored for banking data. Select and analyze complex problems in banking fields aligned with your expertise to enhance AI model performance. Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability. Required Qualifications Professional experience in banking or related fields (e.g., corporate banking, retail banking, or roles involving loan processing, customer account management, or financial product offerings). Proficiency in reading and writing informal and professional English. Strong communication, interpersonal, analytical, and organizational skills. Excellent reading comprehension and ability to exercise autonomous judgment with limited data. Passion for technological advancements and innovation in banking. Preferred Qualifications Relevant certification or training (e.g., Chartered Financial Analyst (CFA), Commercial Banking & Credit Analyst (CBCA), Financial Risk Manager (FRM), anti-money laundering certifications such as CAMS, or accounting certifications such as CPA). Experience mentoring or training others in banking or financial services practices. Comfort with recording audio or video sessions for data collection. Familiarity with AI or data annotation workflows in a technical setting. Location, Hourly & Other Expectations This position is based in Palo Alto, CA (in-office, 5 days per week) or fully remote with strong self-motivation required. US-based candidates cannot be hired in Wyoming or Illinois at this time. Visa sponsorship is not available. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training, and 9:00am - 5:30pm in their own timezone thereafter. For remote work, candidates must use a Chromebook, Mac with macOS 11.0 or later, or Windows 10 or later, and have reliable access to a smartphone. Interview Process After submitting your application, our team will review your CV and statement of exceptional work. If your application advances, you will be invited to a 15-minute phone interview to discuss basic qualifications. Successful candidates will proceed to the main process, which includes: Technical deep-dive: Discussing your legal and compliance expertise and data annotation experience. A take-home challenge focused on legal or compliance data labeling or analysis. A meet-and-greet with the wider team. Our goal is to complete the main interview process within one week. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work.About The Role The HP IQ Design team is dedicated to creating simple, delightful, and transformative user experiences. We're passionate about developing innovative yet familiar interfaces that feel like natural extensions of the human experience. We value collaboration across disciplines from software engineering to hardware design. We're excited to work with people who see technology as a tool to help people tackle real-world problems.  As a Digital Product Design Intern, you'll collaborate with our multidisciplinary team to explore new possibilities in AI-powered experiences. The ideal candidate brings intense curiosity, a dedication to craft and learning, and an openness to sharing and developing ideas. You love to experiment, engage deeply in the design process, and iterate continuously on concepts until they feel "just right" (and even then, you keep exploring ways to improve). At HP IQ, you'll have the opportunity to harness your passion to invent new features that shape our development roadmap. 2026 Internship Program Dates: May/June-August/September 2026. Final dates based on student schedule. What You Might Do Contribute to the design and development of new AI-powered products and features Create user interfaces and design elements using design tools such as Figma and Origami Studio Develop and present concepts and ideas to cross-functional teams  Participate in design reviews and provide feedback to the team Learn from an amazing team of people who care about crafting incredible products Experiment with AI technologies and explore their applications in design Essential Qualifications Obtaining a Bachelor's degree Experience designing and prototyping using industry-standard design tools such as Figma or Sketch Strong communication and storytelling skills Understanding of user-centered design principles Solid grasp of the fundamentals of visual design and typography Curiosity and a passion for technology Preferred Skills  We’re especially interested in you if you’re passionate about any of these areas: High-fidelity prototyping experience using code or tools like Origami Studio, SwiftUI, or web technologies like WebGL or JavaScript and CSS Experience with motion graphics and an understanding of animation principles Interest in design systems and building reusable components, iconography and type systems Experience using or experimenting with AI tools such as LLMs, Stable Diffusion, Midjourney, or ComfyUI We request that you submit a presentation (Keynote, PDF, or Figma preferred) featuring examples of your work, along with any passion projects that you feel represent you as a designer. We're particularly interested in seeing your process and how you think through problems, even if the projects are unfinished or experimental. Salary Range: $45-$48/per hour  Compensation & Benefits (Full-Time Employees) The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills. At HP IQ, we offer a competitive and comprehensive benefits package, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including;  4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave (US benefits overview) Why HP IQ? HP IQ is HP’s new AI innovation lab, building the intelligence to empower humanity—reimagining how we work, create, and connect to shape the future of work. Innovative Work Help shape the future of intelligent computing and workplace transformation. Autonomy and Agility Work with the speed and focus of a startup, backed by HP’s scale. Meaningful Impact Build AI-powered solutions that help people and organisations thrive. Flexible Work Environment Freedom and flexibility to do your best work. Forward-Thinking Culture We learn fast, stay future-focused, and imagine what comes next—together. Equal Opportunity Employer (EEO) Statement HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

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About Mistral At Mistral we are on a mission to democratize AI, producing frontier intelligence for everyone, developed in the open, and built by engineers all over the world. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation, with teams distributed between Europe, the USA and Asia. We are creative, low-ego and team-spirited. At Mistral, we develop models for the enterprise and for consumers, focusing on delivering systems which can really change the way in which businesses operate and which can integrate into our daily lives. All while releasing frontier models open-source, for everyone to try and benefit. Mistral is hiring experts in the training of large language models and distributed systems. Join us to be part of a pioneering company shaping the future of AI. What will you do • Research and develop novel methods to push the frontier of large language models• Work across use cases (e.g reasoning, code, agents) and modalities (e.g text, image and speech)• Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale• Work cross-functionally with other scientists, engineers and product teams to ship AI systems which have a real-world impact About you • You are a highly proficient software engineer in at least one programming language (Python or other, e.g. Rust, Go, Java)• You have hands-on experience with AI frameworks (e.g. PyTorch, JAX) or distributed systems (e.g. Ray, Kubernetes)• You have high engineering competence. This means being able to design complex software and make it usable in production• You are a self-starter, autonomous and a team player Now, it would be ideal if • You have hands-on experience with training large transformer models in a distributed fashion• You are able to navigate the full MLOps stack, for instance, fine-tuning, evaluation and deployment • You have a strong publication record in a relevant scientific domain Note that this is not an exhaustive or necessary list of requirements. Please consider applying if you believe you have the skills to contribute to Mistral's mission. We value profile and experience diversity. Benefits 💰 Competitive cash salary and equity🥕 Food : Monthly meal allowance🥎 Sport : Monthly contribution to a Gympass subscription💰 Private pension plan

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role As an AI Tutor - Chemistry Specialist at xAI, you will be instrumental in enhancing our cutting-edge AI technologies by providing high-quality input and labels using specialized software. You will collaborate closely with our technical team to support the training of new AI tasks, contributing to innovative initiatives. Your responsibilities include refining annotation tools and selecting complex problems from advanced chemical sciences to drive significant improvements in model performance. This involves gathering or providing data in text, voice, and video formats, including annotations, audio recordings, or video sessions—tasks with which you must be comfortable and eager to engage. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. The AI Tutor - Chemistry Specialist role is a remote full-time or part-time position (please see the bottom of this job description for more details). Responsibilities Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies. Collaborate with the technical staff to enhance the design of efficient annotation tools. Solve problems that help drive innovation in chemical sciences by guiding AI models to enhance research in specialized areas, improving outcomes in scientific discovery and application. Choose problems from fields across chemistry that align with your expertise in specialized subdomains, including, but not limited to, organic chemistry, physical chemistry, analytical chemistry, inorganic chemistry, computational chemistry, polymer chemistry, nuclear chemistry, or medicinal chemistry, where you can confidently provide detailed solutions and evaluate model responses. Regularly interpret, analyze, and execute tasks based on given instructions. Required Qualifications Master’s or PhD in a chemistry-related field. Expertise in chemistry-related subdomains, including, but not limited to, Organic Chemistry, Physical Chemistry, Analytical Chemistry, Inorganic Chemistry, Organometallic Chemistry, Biochemistry, Nuclear Chemistry, Computational/Theoretical Chemistry, Polymer/Materials Chemistry, Medicinal Chemistry, Catalysis, Surface/Colloid Chemistry, or Drug Discovery. Proficiency in reading and writing, both in informal and professional English. Strong ability to navigate various information resources, databases, and online resources is essential. Outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material. Strong passion for and commitment to technological advancements and innovation. Preferred Qualifications Advanced expertise in chemistry, demonstrated by multiple publications, including at least one first-author paper, in reputable peer-reviewed journals Previous AI Tutoring experience. Teaching experience (as a professor, teacher, or tutor). Experience in technical writing, journalism, or a professional writing setting. Location, Hourly, and Other Expectations This position is based in Palo Alto, CA, or fully remote. The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter. For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. You must own and have reliable access to a smartphone. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Mutiny Overview Mutiny is building a first-class agentic GTM platform that unifies sales and marketing to help companies close enterprise deals faster. Our customers are enterprise marketing and sales teams who face a fundamental challenge: what works isn’t scalable, and what’s scalable doesn’t work. Mutiny is solving this by combining AI agents, creative workflows, and deep integrations to deliver personalized marketing and sales experiences at scale. Our customers include some of the fastest-growing B2B companies—Uber, Amplitude, Qualtrics, and LaunchDarkly. We are backed by Sequoia Capital, Tiger Global, Insight Partners, and Y Combinator. About the Role We’re looking for a Senior Product Designer to join our Workflows Team in New York. You’ll own the design of our Campaign Builder and Creative Agent experiences—core surfaces that let marketers and sellers generate, edit, and launch personalized campaigns across accounts. This role is central to how Mutiny brings our agentic vision to life: helping enterprise teams go from idea to personalized assets with speed, trust, and quality. You’ll partner closely with PM, Eng, and other designers to define the end-to-end experience—from conversational AI collaboration to guardrails for brand consistency. 📍 This role is based in NYC and requires being in-person 5 days a week. What You’ll Do Lead design for the Asset Builder and Creative Agent workflows, balancing AI automation with marketer oversight Translate complex enterprise user needs (ABM, demand gen, sales collaboration) into intuitive flows that feel simple and empowering Design experiences that scale—from 1:1 account personalization to 1:many campaigns—while maintaining quality and trust Collaborate with PMs, engineers, and other designers to prototype, validate, and ship new features quickly Establish design patterns and systems that unify co-pilot chat, visual editing, and approval workflows Advocate for the end user, ensuring every change is checked against the full flow and end-to-end experience What We’re Looking For 5+ years of product design experience, ideally in SaaS or enterprise tools Strong portfolio demonstrating thoughtful UX for complex workflows and creative tools Ability to design for AI-driven experiences: balancing automation, transparency, and human control Comfort working from 0→1: shaping ambiguous problem spaces into clear, elegant solutions Excellent collaboration and communication skills—you thrive in cross-functional teams Bonus: experience designing for marketing, sales, or creative platforms Bonus: technical literacy; experience with vibe coding and a broad set of AI tools Why Join Mutiny Impact: Your work will shape the core creative workflows that define our product strategy for the next 18 months. Velocity: We move fast, ship often, and learn directly from enterprise customers. Collaboration: Partner with a high-caliber, supportive team committed to building the future of enterprise GTM. Growth: Be part of a fast-scaling startup where design has a seat at the table and drives product direction. Hiring Process Our process typically takes 2–3 weeks end-to-end. Hiring Manager Screen (30 min): Chat with our Head of Design about your past work, design approach, and what you’re looking for in your next role. Design Exercise: Async Loom walkthrough of 2 projects (5–10 min) 45 min live portfolio deep dive with panel Cross-Functional Interviews (3 x 45 min): With your PM counterpart, Engineering counterpart and a member of our CX team. Executive Interview: A final conversation with Jaleh (CEO & Cofounder) before making things official. Our Values 😜 Work should feel like play 🏃 Faster always wins 🍯 Stir the pot, regularly 👀 Do the right thing when no one’s watching 🛥 All hands on deck 🌎 Live in the world you want to change We are committed to empowering individuals of all backgrounds, experiences, and identities to reach their potential. We believe in balanced teams, which is why we have maintained a 50% male-to-female ratio in our investors and are committed to maintaining diversity of gender, lifestyle, ethnicity, and thinking in our team as we scale. Compensation We offer a competitive package including base salary, equity, and full benefits. The estimated salary range for this role is $155,000–$190,000, depending on experience. Additional Benefits Flexible paid time off Generous parental leave 100% medical, dental, and vision coverage Lunch provided daily in our NYC office Office-first culture with a vibrant HQ in Flatiron/Union Square H1-B sponsorship available Mutiny does not accept agency-submitted candidates for this posting. #LI-MT1

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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: As Data Operations Manager for Computer Use & Tool Use, you'll build and scale data operations that advance Claude's computer use capabilities and tool use safety. You'll partner with research teams to design and execute data strategies, manage vendor relationships, and own the entire data pipeline from requirements to production. This is a zero-to-one role requiring technical depth to understand what makes high-quality training data for autonomous agents, but your focus will be on strategy and execution rather than hands-on engineering. Think technical founder who evolved from writing code to building the business. About the Impact: The data strategies and operations you build will directly determine how well Claude can use tools safely, operate computers autonomously, and maintain quality across long-horizon agentic workflows. You'll work with world-class researchers advancing frontier capabilities, safety, and model performance while building the operational infrastructure to scale these efforts. We're looking for someone who gets excited about the challenge of scaling quality for complex, multi-turn agent interactions - someone who can think strategically about data needs for both capabilities and safety, build the right partnerships, and execute flawlessly. If you thrive at the intersection of technical depth and operational excellence, we'd love to hear from you. Responsibilities: Develop and execute data strategies for computer use, tool use safety, and agentic AI research Partner with research leaders to translate technical requirements into operational frameworks Build data collection and evaluation systems for complex scenarios: prompt injection robustness, multi-turn agent conversations, adversarial attacks, autonomous workflows Scale the generation of realistic evaluation environments that capture real-world tool use and computer use challenges Identify, evaluate, and manage specialized contractors and vendors for technical data collection Implement quality control processes to ensure data meets training requirements for both capabilities and safety Manage multiple complex projects simultaneously, balancing research velocity with rigorous evaluation standards Track metrics and communicate progress to stakeholders You may be a good fit if you: Have 3+ years in technical operations, product management, or entrepreneurial experience building from zero to scale Have strong technical foundations - proficiency in Python and understanding of ML workflows, RL environments, and evaluation frameworks Have strong communication skills and can effectively engage with both technical and non-technical stakeholders Are familiar with how LLMs work and could describe concepts like RLHF, tool use, and agentic workflows Understand the unique challenges of evaluating autonomous systems and long-horizon agent behaviors Are highly organized and can manage multiple parallel workstreams effectively Have a high threshold for navigating ambiguity and can balance strategic priorities with rapid execution Thrive in fast-paced research environments with shifting priorities and novel technical challenges Are passionate about AI safety and understand the critical importance of high-quality data in building safe, capable agentic systems Strong candidates may also have: Experience at companies training AI models, building AI agents, or creating AI training data, evaluations, or environments Knowledge of computer and tool use safety challenges like prompt injection, data exfiltration attempts, or adversarial attacks Experience with RLHF, reinforcement learning techniques, or similar human-in-the-loop training methods Domain expertise in computer use automation, security, or AI safety evaluation Familiarity with model performance monitoring, training observability, or quality assessment systems Track record of building and scaling operations teams The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:$250,000—$365,000 USDLogistics 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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Our MissionReflection’s mission is to build open superintelligence and make it accessible to all.We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.About the RoleBuild systems that transform powerful pre-trained models into aligned and general agents.Drive research and engineering initiatives that push the frontier of post-training, from data curation to large-scale optimization.Develop data generation pipelines, reward models, reinforcement learning algorithms, and inference-time scaling techniques.Collaborate across pre-training and post-training teams to deliver step-function gains in model capability.Contribute to shaping our understanding of how large models learn to reason, follow instructions, and improve through reinforcement learning.About YouDeep understanding of machine learning fundamentals and practical experience with large-scale LLM training.Strong engineering skills, comfortable diving into complex ML codebases and distributed systems.Experience improving model behavior through data, reward modeling, or RL techniques.Evidence of owning ambitious research or engineering agendas that led to measurable model improvements.Thrive in a fast-paced, high-agency startup environment; bias toward action and clarity of execution.Able to work fluidly across research and infra boundariesStrong communication capabilities and comfort working collaborativelyPassionate about advancing the frontier of intelligence.What We Offer:We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time. Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

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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.About the JobAs a Sales Engineer, you will help customers understand and realize the value that Squint brings to their organization. To achieve this, you will lead technical discussions, uncover manufacturing challenges, and design tailored solutions. You will showcase Squint’s capabilities through live demos, in-person site visits, and proofs of value that validate business impact in real-world conditions. Internally, you will help our team refine processes and playbooks and act as the voice of the customer to ensure our product continues to solve real problems and deliver measurable results that delight our customers.Key ResponsibilitiesPartner with Account Executives to understand customer needs and deliver tailored solutions.Conduct in-depth discovery to map business processes and identify pain points.Design and deliver compelling Proofs of Value anchored to core business outcomes.Address technical objections and articulate how Squint integrates with existing manufacturing workflows.Engage with key stakeholders, from plant managers to C-level executives, to ensure alignment on business objectives.Prioritize our customers’ success above all else.QualificationsExperience: 3-5+ years in a technical customer-facing role, ideally in manufacturing, AI, AR, or industrial solutions.Technical Proficiency: Ability to design and scope AI- and AR-driven manufacturing solutions and Proof of Value implementations.Analytical Skills: Ability to understand customer needs, analyze data, and tailor solutions to address specific pain points.Communication Skills: Ability to create technical proposals, presentations, and ROI analyses to share with stakeholders at all levels of an organization.Adaptability: Proven ability to thrive in a fast-paced, dynamic environment, inventing solutions on-the-fly.Travel: Willingness to travel frequently to customer sites.BenefitsCompetitive Salary and EquityComprehensive Medical, Vision, and Dental careFlexible PTO PolicyWellness BenefitMaven Family Planning BenefitsMental Health Services401(k) Retirement PlanCompany-wide RetreatsA 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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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 Team The Security Engineering team's mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we're developing critical security infrastructure, building secure development practices, or partnering with our research and product teams, we are committed to operating as a world-class security organization and keeping the safety and trust of our users at the forefront of everything we do. Responsibilities: Build security for large-scale AI clusters, implementing robust cloud security architecture including IAM, network segmentation, and encryption controls Design secure-by-design workflows, secure CI/CD pipelines across our services, help build secure cloud infrastructure, with expertise in various cloud environments, Kubernetes security, container orchestration and identity management Ship and operate secure, high-reliability services using Infrastructure-as-Code (IaC) practices and GitOps workflows Apply deep expertise in threat modeling and risk assessment to secure complex cloud environments Mentor engineers and contribute to hiring and growth of the Security team You may be a good fit if you have: 5-15+ years of software engineering experience implementing and maintaining critical systems at scale Bachelor's degree in Computer Science/Software Engineering or equivalent industry experience Strong software engineering skills in Python or at least one systems language (Go, Rust, C/C++) Experience managing infrastructure at scale with DevOps and cloud automation best practices Track record of driving engineering excellence through high standards, constructive code reviews, and mentorship Proven ability to lead cross-functional security initiatives and navigate complex organizational dynamics Outstanding communication skills, translating technical concepts effectively across all organizational levels Demonstrated success in bringing clarity and ownership to ambiguous technical problems Strong systems thinking with ability to identify and mitigate risks in complex environments Low ego, high empathy engineer who attracts talent and supports diverse, inclusive teams Experience supporting fast-paced startup engineering teams Passionate about AI safety and alignment, with keen interest in making AI systems more interpretable and aligned with human values Strong candidates may also: Designing and hardening CI/CD pipelines against supply chain attacks through isolated environments, signed attestations, dependency verification, and automated policy enforcement Building secure development workflows through hardened remote environments Implementing network segmentation and access controls in cloud environments Managing infrastructure through automated configuration and policy enforcement Hardening containerized applications and enforcing security policies Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:$300,000—$405,000 USDLogistics 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 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: As Data Operations Manager, you'll build and scale data operations across research teams working on frontier AI capabilities. You'll partner with researchers to design and execute data strategies, manage vendor relationships, and own the entire data pipeline from requirements to production. This role requires operational excellence combined with technical depth to understand what makes high-quality training data, but your focus will be on strategy and execution. About the Impact: The data operations you build will directly determine how well our models perform on critical capabilities—tool use accuracy, prompt injection robustness, long-horizon reasoning, and safety alignment. You'll work with world-class researchers advancing the frontier while building the operational infrastructure to scale these efforts. We're looking for someone who gets excited about the challenge of scaling quality across diverse research areas—someone who can understand nuanced technical requirements, build the right partnerships, and execute flawlessly. If you thrive at the intersection of operational excellence and cutting-edge AI research, we'd love to hear from you. Responsibilities: Own and execute data strategy for research teams advancing frontier AI capabilities across RLHF, safety, tool use, and agentic workflows Drive strategic vendor partnerships and build scalable frameworks for technical data collection at scale Design and implement operational systems that translate research requirements into high-quality data pipelines Build evaluation frameworks and quality standards that ensure data meets the bar for training state-of-the-art AI systems Lead cross-functional initiatives to optimize research velocity while maintaining rigorous quality standards Proactively identify risks, bottlenecks, and opportunities to improve efficiency and effectiveness across data operations Partner with senior research leaders to align data operations with model development roadmaps and strategic priorities You may be a good fit if you: Have 3+ years in operations, consulting, product management, or program management roles Have exceptional project management skills with ability to handle multiple complex projects simultaneously Have strong communication skills and can engage effectively with technical and non-technical stakeholders Are familiar with how LLMs work or have strong interest in understanding AI training methodologies Are highly organized and can navigate ambiguity effectively Have experience with data analysis tools (SQL, Python, Tableau, spreadsheets, or similar) Thrive in fast-paced research environments with shifting priorities Are passionate about AI safety and understand the critical importance of high-quality data Strong candidates may also have: Experience with data collection, labeling, or annotation operations for AI/ML systems Knowledge of RLHF, constitutional AI, or human-in-the-loop workflows Background working with research teams at AI companies or research-oriented organizations Experience managing vendor relationships or external contractors Consulting background with experience translating complex requirements into deliverables Track record of implementing process improvements or quality control systems at scale The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:$250,000—$365,000 USDLogistics 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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Our MissionReflection’s mission is to build open superintelligence and make it accessible to all.We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.We're always open to great people. If you're aligned with our mission but don't see the right role, we'd love to hear from you. What We Offer:We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time. Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

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Our MissionReflection’s mission is to build open superintelligence and make it accessible to all.We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.About the RoleDesign, build, and operate Reflection’s large-scale GPU infrastructure powering pre-training, post-training, and inference.Develop reliable, high-performance systems for scheduling, orchestration, and observability across thousands of GPUs.Optimize cluster utilization, throughput, and cost efficiency while maintaining reliability at scale.Build tools and automation for distributed training, inference, monitoring, and experiment management.Collaborate closely with research, training, and platform teams to accelerate development and enable large-scale training and inference.Push the limits of hardware, networking, and software to accelerate the path from idea to model.About YouDeep systems or infrastructure engineering experience in high-performance or distributed computing environments.Strong understanding of GPUs, CUDA, NCCL, and large-scale training and inference frameworks and libraries (PyTorch, DeepSpeed, JAX, Megatron-LM, SGLang, vLLM, etc.).Hands-on experience with containerization, orchestration, and cluster management (Kubernetes, Slurm, or similar).Familiar with modern observability stacks and performance profiling tools.High agency and the ability to thrive in a fast-paced, high-ownership startup environment.Excited to build from zero to one defining how frontier-scale training/RL infrastructure is architected and operated.Motivated by enabling researchers and engineers to build the world’s most capable open-weight AI systems.What We Offer:We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time. Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

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Our MissionReflection’s mission is to build open superintelligence and make it accessible to all.We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.About the RoleResearch and build solutions across algorithms, scaling laws, data processing, optimizers, and model architecture.Design and run scientific experiments to advance our understanding of scaling large language models and data efficiency.Implement state-of-the-art methods from the deep learning literature.Lead small research projects independently while collaborating on larger initiativesOptimize the training infrastructure for efficient scaling.Contribute across the entire stack, from low-level optimizations to high-level model design.About YouGraduate degree (MS or PhD) in Computer Science, Machine Learning, or related discipline.Solid software engineering capabilities with experience building large-scale systems.Experience with large-scale ETL workflows and training data preparation.Deep understanding of large-scale ML, especially as it relates to language models, distributed training, and scaling.Proficient in Python and deep learning frameworks (PyTorch preferred).Navigate trade-offs between research objectives and practical engineering realities.Thrive in a fast-paced, high-agency startup environment with bias toward action.Strong communication capabilities and comfort working collaboratively.Passionate about advancing the frontier of intelligence.What We Offer:We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time. Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

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Ideogram is on a mission to make professional-quality design accessible to everyone. We’re building an AI-native application that helps creative individuals and teams produce high-quality content faster and at a lower cost. We are pushing the boundaries of what’s possible with AI, with a focus on creativity and a high standard for trust and safety. Our headquarters is in downtown Toronto, and we have a growing presence in NYC. Read our 3.0, Canvas and Character blog posts, and try our product at ideogram.ai to get a glimpse of what we're building.About the roleAs a Machine Learning Engineer, you will build and deploy state of the art machine learning models at scale. You will work with a creative and ambitious team of engineers and researchers who are building the future of the creative economy with highly complex challenges. You will work directly with some of the best machine learning experts in the world, who have an exceptional track record of setting the vision and executing generative AI projects.What we're looking for5+ years of experience in developing machine learning models in JAX, PyTorch, or TensorFlowExperience in implementing Machine Learning foundations (e.g., Transformer, VAE, Denoising Diffusion models) from scratchTrack record in machine learning innovation and familiarity with Deep Learning and advanced Machine LearningEnd-to-end understanding of generative media applications and excitement for pushing the state-of-the-art in generative AIAbility to debug machine learning models to iteratively improve model quality and performanceNice to have: Familiarity with kubernetes and dockerOptional: Experience in low-level machine learning optimization, e.g., writing CUDA kernel codeFounding Team Our founding team consists of world-renowned AI experts including Mohammad Norouzi, William Chan, and Chitwan Saharia. This team has previously led transformative AI projects at Google Brain, CMU, and the University of Toronto. Our fundamental work in generative media includes Imagen and Imagen Video: Google’s text-to-image and text-to-video systems.Company CultureWe're a single flat team that transcends engineering, research, product, and operation roles. Everyone is willing to do whatever is necessary to make our company and customers successful. We believe that a small, dedicated team with a collaborative culture can move faster and build better and more coherent products than large hierarchical organizations. At Ideogram, we provide mentorship and support to help our employees grow with the company and achieve their ambitious career goals.Ideogram is committed to welcoming everyone, regardless of gender identity, orientation, or expression. Our mission is to remove exclusivity and barriers and encourage new thinking and perceptions, in a space of belonging. It is not about race, gender, or age, it is about the people.

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MetaviewMetaview is re-engineering hiring with AI at the core. Thousands of companies already use Metaview to accelerate their recruiting workflows, remove toil, and make hiring decisions with more precision.Our AI Assistant for Recruiting is used by over 3,000 companies around the world, and already makes recruiting flows drastically more efficient. But efficiency is just the starting point: the date we're capturing will enable us to build the AI platform that recognizes talent better than any human ever could.Metaview was founded by Siadhal and Shahriar after their experiences scaling Uber and Palantir. We recently announced our $35m Series B, led by Google Ventures! Growing 5x YoY, our customers are raving fans of the product, and our innovation has been covered in Fortune, Forbes, TechCrunch, and The Times.The teamWe’re here to do the best work of our lives, and are immersed in our work.We optimize for rate-of-learning. Watch the clock, not the calendar.We’re direct and actively-transparent in how we communicate and share progress. This means we all have the context and information required to help each other excel.The roleTL;DR:Be the bridge between Customers, Product, and Sales; transforming insights into impact.Drive AI adoption by leading change management and workflow transformation.Play a key role in shaping a new function at a category-defining AI startup.Set the blueprint for how Engagement evolves at Metaview.The Engagement team partners with forward-thinking customers to transform how they hire. This isn’t customer support — it’s strategic engagement. You’ll guide organizations through the adoption of AI in their hiring workflows, ensuring they unlock meaningful outcomes and long-term value.As Engagement Manager, you’ll serve as the connective tissue across Customers, Product, and Sales — helping executives reimagine processes, operators embed AI day-to-day, and our internal teams sharpen strategy with deep customer insights.What you’ll doBuild trusted, strategic partnerships with senior stakeholders — from recruiters to C-level — to drive business outcomes with AI.Guide organizations through change management, onboarding, adoption, and expansion; helping them scale AI-driven workflows across teams.Drive revenue outcomes by maximizing retention and unlocking expansion opportunities; ensuring customers realize long-term value while partnering with Sales to grow accounts.Synthesize insights from the field to shape our Engagement methodology and influence product and sales strategies.Serve as an AI thought partner: running workshops, sharing best practices, and elevating Metaview’s role as a category leader.Proactively identify risks and opportunities in accounts, using product data and customer conversations to inform action.You3+ years in consulting, customer-facing, or strategy roles at high-growth B2B startups or top-tier firms.Proven ability to engage across levels — influencing executives while rolling up your sleeves with operators.Strong analytical and strategic thinker; comfortable making data-driven decisions.Skilled in change management and guiding customers through transformation.A natural communicator: able to distill complexity into clarity, whether 1:1 or at an exec workshop.Entrepreneurial, adaptable, and energized by experimentation.Deeply aligned with our brand: intelligent, low-BS, authentic, and customer-obsessed.What’s in it for youBlueprint a new function: Engagement Manager role, with the chance to define how Engagement is done at Metaview.Career acceleration: high visibility and ownership in a fast-growing Series B rocketship.The opportunity to work at the intersection of customers, product, and AI making a real impact every day.Generous equity alongside competitive comp and benefits.Work with a team that takes hiring seriously: the best teammates you’ve ever had.

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Ideogram is on a mission to make professional-quality design accessible to everyone. We’re building an AI-native application that helps creative individuals and teams produce high-quality content faster and at a lower cost. We are pushing the boundaries of what’s possible with AI, with a focus on creativity and a high standard for trust and safety. Our headquarters is in downtown Toronto, and we have a growing presence in NYC. Read our 3.0, Canvas and Character blog posts, and try our product at ideogram.ai to get a glimpse of what we're building.About the roleAs a Machine Learning Researcher, you will push the frontier of what’s possible with AI and build and deploy state of the art machine learning models at scale. You will work with a creative and ambitious team of engineers and researchers who are building the future of the creative economy with highly complex challenges. You will work directly with some of the best machine learning experts in the world, who have an exceptional track record of setting the vision and executing generative AI projects.What we're looking forPhD or Master’s degree in Computer Science or equivalent industry experience5+ years of experience in AI research, including training, fine-tuning, and experimenting with foundation models beyond black-box useTrack record of first-author publications at top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ECCV, ICCV, ACL, EMNLP)Strong proficiency in one or more deep learning frameworks (e.g., JAX, PyTorch)Experience communicating complex research to peersSolid knowledge of programming languages and experience in developing, debugging, and optimizing beyond ML systemsNice to haveExperience in low-level machine learning optimization, such as writing CUDA kernel codeFounding Team Our founding team consists of world-renowned AI experts including Mohammad Norouzi, William Chan, and Chitwan Saharia. This team has previously led transformative AI projects at Google Brain, CMU, and the University of Toronto. Our fundamental work in generative media includes Imagen and Imagen Video: Google’s text-to-image and text-to-video systems.Company CultureWe're a single flat team that transcends engineering, research, product, and operation roles. Everyone is willing to do whatever is necessary to make our company and customers successful. We believe that a small, dedicated team with a collaborative culture can move faster and build better and more coherent products than large hierarchical organizations. At Ideogram, we provide mentorship and support to help our employees grow with the company and achieve their ambitious career goals.Ideogram is committed to welcoming everyone, regardless of gender identity, orientation, or expression. Our mission is to remove exclusivity and barriers and encourage new thinking and perceptions, in a space of belonging. It is not about race, gender, or age, it is about the people.

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Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.Position Overview We are seeking a senior automation and controls engineer to design and implement cutting-edge robotic automation systems. You will work alongside our robotics and machine learning engineers to deploy the Skild Brain into a wide variety of production settings. You will also help create automated solutions and testing systems to help us scale our robot fleet. Your work will directly impact the large scale integration and adoption of our general purpose robotic brain for practical economic problems around the world. Responsibilities Design, implement, and maintain automation solutions leveraging our AI models for various real-world problems Develop solutions leveraging PLCs, vision sensors, and/or other systems to assist with large-scale robot brain deployment and testing to help us improve our models  Collaborate with robotics and machine learning engineers and scientists to integrate our existing robotic stack into production environments Preferred Qualifications More than 3+ years of industry experience  Degree in ME/EE/Robotics/Controls or equivalent experience. Very comfortable with PLCs, vision, sensors, actuators, and end-to-end component integration Built, launched, and sustained production automation and robotic systems on real lines Knowledge of industrial standards and plant protocols Strong systems-level understanding of the various software modules and their interfaces in typical robotic applications  Base Salary Range$100,000—$300,000 USD

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About ElevenLabsElevenLabs is a research and product company defining the frontier of audio AI. Millions of people use our technology to read articles, voice over videos, and restore voices lost to disability. Leading developers and enterprises worldwide use ElevenLabs to build intelligent agents for support, sales, and education.We launched in January 2023 with the first AI model to cross the threshold of human-like speech. In January 2025, we raised a $180 million Series C round, valuing the company at $3.3 billion. By September 2025, that valuation doubled to $6.6 billion as we surpassed $200 million ARR in under three years.Our mission is to build the most important audio AI platform in the world, solve AI audio intelligence, and make information accessible in any voice, language, or sound.Our core offerings are our Creative Platform and the Agents Platform, powered by proprietary Text to Speech, Speech to Text, and conversational AI models.We are just getting started. If you want to work hard and create lasting impact, we would like to hear from you.How we workHigh-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.Excellence everywhere: Everything we do should match the quality of our AI models.Global team: We prioritize your talent, not your location.What we offerInnovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.About the roleThe Design team at ElevenLabs is crafting experiences for the next generation of audio workflows using generative AI. You’ll work in entirely new and unexplored problem spaces, like crafting experiences around voice cloning that will allow people to generate content in realistic voices, languages, and accents, to create universally accessible content, safely. You’ll reimagine how creative teams craft sounds just by describing them, and how they bring it all together in one AI-first generative audio platform. The work here has the potential to revolutionize workflows for creators to media and entertainment, publishing giants, to defining entirely new spaces like conversational AI companies.You will work with our Engineering and AI Research teams to successfully communicate, evolve, and execute a strong product design standard that showcases ElevenLabs as an innovator in the generative AI audio space. You are a crucial component of our company’s growth and product launches through your contributions to short and long-term strategic direction, creating and maintaining high visual standards and a strong focus on user needs. You have an owner’s mentality, taking pride in your work and in your team’s work, and view what you do as a part-owner and builder of ElevenLabs.You'll work closely with Nev Flynn, Austin Malerba, and collaborate closely with our frontend engineers to achieve outcomes.If you love the intersection of design and engineering, as well as having an interest in the business side this could be a great fit. You might be a designer turned engineer, an engineer turned designer, or an ex-founder. What you bringWe do not require any formal experience, certifications, or degrees. Instead, we are seeking enthusiastic product designers who can showcase solving impressively hard problems with artifacts such as past projects and designs. Even directly sharing a rough figma of your work is a great way to show us your craft! We do require:Creative thinking toward establishing and executing on the vision for team initiatives. Challenge the status quo, push innovation and inspire people toward a unified outcome.Efficiently execute to ship products that deliver impact for our business and customers.Partner with the leadership team to successfully communicate concisely across the team and influence product and design outcomes.Will work across the entire business stack and make an impact at different stages of the product: building vision & strategy, ensuring all the loose ends are tied up when executing, and making sure the operational components to support onboarding are in place, not just the productIt is preferred that you can get in the weeds with your engineering partners and make sense of technical constraints, while still pushing forward and maintaining a high design bar and level of executionWork closely with stakeholders across the organization, partnering with Engineering, Customer Support, and Growth to define new products and features and launch themLocationThis role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw.#LI-remote

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Our PurposeAt Fiddler, we understand the implications of AI and the impact that it has on human lives. Our company was born with the mission of building trust into AI. With the rise of the internet, trust in AI has been degraded by a plethora of issues like spam, fraudulent transactions, hate speech, and online abuse. Fiddler enables organizations to get ahead of these issues by building trustworthy, transparent, and explainable AI solutions. Fiddler partners with AI-first organizations to help build a long-term framework for responsible AI practices, which, in turn, builds trust with their user base. Data Science, MLOps, and business teams use Fiddler AI to monitor, explain, analyze, and improve their AI solutions to identify performance gaps, mitigate bias, and drive better outcomes. Our platform enables engineering teams and business stakeholders alike to understand the “why” and how behind model outcomes.  Our FoundersFiddler AI is founded by Krishna Gade (engineering leadership at Facebook, Pinterest, Twitter, and Microsoft) and Amit Paka (two-time founder with acquisitions by Samsung and PayPal and product roles at Expedia and Microsoft). We are backed by Insight Partners, Lightspeed Venture Partners, and Lux Capital. Why Join UsOur team is motivated to unlock the AI opaque box and help society harness the power of AI. Joining us means you get to make an impact by helping reduce algorithmic bias and ensure that models in production across many different industries are transparent and ethical.  We are an early-stage startup and have a rapidly growing team of intelligent and empathetic doers, thinkers, creators, builders, and everyone in between. The AI and ML industry has a rapid pace of innovation and the learning opportunities here are monumental. This is your chance to be a trailblazer.  Fiddler is recognized as a pioneer in the field of AI Observability and has received numerous accolades, including:  2022 a16z Data50 list, 2021 CB Insights AI 100 most promising startups, 2020 WEF Technology Pioneer, 2020 Forbes AI 50 most promising startups of 2020, and a 2019 Gartner Cool Vendor in Enterprise AI Governance and Ethical Response. By joining our brilliant (at least we think so) team, you will help pave the way in the AI Observability space. This position will operate on Pacific/Mountain Time Zones👩🏽‍🚀 The Mission: As a Senior Solutions Engineer, you’ll be the trusted advisor who champions Fiddler’s value, showing customers not just what we do, but why it matters. You will be an essential technical bridge between our innovative AI platform, and the needs of our enterprise customers. You will directly contribute to accelerating our revenue growth by building and proving the technical and business value of Fiddler AI in high-stakes sales engagements.🪐 About The Team: We are a fast-paced, high-impact, customer-facing team of empathetic doers, thinkers, and builders who sit at the nexus of Fiddler's product, engineering, sales, and customer success organizations. Our core purpose is to validate the technical feasibility and demonstrate the undeniable business value of Fiddler to our most strategic prospects and partners. Our team is key to Fiddler's reputation as a pioneer in the AI Observability space—an effort that has earned us accolades like the a16z Data50 list and the WEF Technology Pioneer status.Joining Fiddler means getting to be an industry trailblazer in a rapidly innovating AI/ML industry. We value high trust, autonomy, and continuous learning. We’re a highly collaborative, supportive group, always ready to jump in to help a teammate scope a complex Proof of Concept (PoC) or strategize on a challenging sales cycle. Our team culture is built on a shared sense of mission and "startup grit". We treat every challenge as a learning opportunity and thrive on adaptability. Our team is spread throughout the U.S. and India, and we practically have PhDs in Zoom and are fluent in Slack. Good news: your pandemic mic and lighting setup won’t go to waste here. 🚀 What You’ll Do:Increase Revenue Velocity: Close a percentage of qualified high-priority sales opportunities by owning the technical win, from initial presentation to final validation, ensuring the prospect's technical requirements and business value needs are fully met by the Fiddler platform.Ensure Technical Success in PoCs: Successfully facilitate, scope, and deliver Proof of Concepts, resulting in a clear, documented path for customer production deployment and a final presentation that quantifies Fiddler’s value (e.g., $ savings, % reduction in bias, etc.) for executive stakeholders.Drive Advocacy: Cultivate strong, trusted relationships with technical stakeholders, converting them into internal Fiddler advocates and power users who actively champion our platform's adoption within their organizations.Influence Product & Market: Deliver product feedback and market intelligence (e.g., competitive gaps, feature requests) to the Product team on a weekly basis, resulting in actionable product updates, while also contributing to our public-facing market publications, documentation, and FAQs.Champion & Provide: Effectively develop and deliver tailored presentations and sales materials that clearly communicate Fiddler’s value proposition, adapting content and style to diverse customer audiences in the absence of a defined playbook. 🔭 What We’re Looking For:We are looking for someone who brings a blend of technical depth, exceptional evangelism, organization, and relentless drive.Technical & Domain SkillsDomain Proficiency: Proficient understanding of the Machine Learning and Generative AI space, including AI Operations methodologies and tooling.Technical Acumen: Innate love of technology and an ability to easily understand and articulate complex technical concepts, coupled with proven coding experience.Enterprise Experience: A history of demonstrable success in technical sales or solutions at the enterprise level, specifically in a pre-sales environment for a minimum of 3 years.Behavior & Communication SkillsExecutive Persuasion: Superior presentation skills with the highest degree of comfort and confidence speaking with and influencing technical and non-technical executives and IT management.Coachable & Adaptable: Thrives in ambiguity and is comfortable without a full picture or pre-set determiners, demonstrating a high degree of flexibility and a proactive approach to filling in the blanks.Self-Motivated & Initiator: Possesses the autonomy and self-motivation to take ownership of complex sales cycles, proactively seeking out solutions and pushing boundaries ("Hungry") to go above and beyond for the customer and the sales team.Empathetic Listener: Strong communication skills paired with an empathetic and non-judgmental approach to listening, ensuring customer needs are deeply understood before solutions are proposed.Agility and Audience Awareness: Demonstrates the ability to quickly pivot messaging and materials based on audience needs, creating compelling decks and presentations that resonate with stakeholders at all levels, even in a fast-moving environment.Communication & Organization: Clearly convey complex information in a structured, compelling way—both in writing and verbally—while managing multiple priorities, tailoring messages to the audience, and ensuring materials and follow-ups are delivered with accuracy and timeliness.🫱🏼‍🫲🏾 Compensation:Base salary range for this role vary based on location, experience, and qualifications:San Francisco, New York City & Seattle: $190,000-$225,000 OTEThis role is hybrid for Bay Area candidates, requiring 2–3 days per week onsite in our Palo Alto officeOther U.S. Locations: $165,000-$200,000 OTEThe posted range represents the expected salary range for this job requisition and does not include any other potential components of the compensation package and perks previously outlined. Ultimately, in determining pay, we'll consider your experience, leveling, location, and other job-related factors.Fiddler is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you require special accommodations in order to complete the interviews or perform job duties, please inform the recruiter at the beginning of the process.Beware of job scam fraud! We prioritize candidate safety. Our recruiters use @fiddler.ai email addresses exclusively. In the US, we do not conduct interviews via text or instant message, or to provide sensitive personally identifiable information such as bank account or social security numbers. If you have been contacted by someone claiming to be from a different domain about a job offer, please report it as potential job fraud to hr@fiddler.ai.