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About Us:At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.About The Role:We’re looking for an Engineering Manager to lead the team building LangSmith, our observability and evaluation platform for LLM applications. You’ll define the technical direction, grow and mentor a world-class engineering team, and partner with product and design to deliver features that help developers build and deploy trustworthy AI systems with confidence.You will: Build, mentor, and grow a high-performing team of engineers, fostering collaboration, ownership, and accountabilityStrengthen LangChain’s engineering culture through mentorship, high-quality code, and technical excellenceShape long-term technical direction and ensure scalability and reliability of LangSmith AI Observability PlatformPartner with product and design teams to define scope, sequence, and success criteria for key initiativesMaintain a high bar for technical excellence while making sure the team moves with urgency and focusLead by example in writing clean, maintainable, and well-tested code in Go/Python and TypescriptEngage directly with customers to understand their needs and translate them into actionable product improvementsWhat You Bring:Experience managing or tech-leading teams delivering complex full-stack productsStrong technical background in Go/Python and React/TypescriptSolid understanding of databases (Postgres, Redis and ClickHouse)Proven ability to design high throughput data-intensive systemsBias towards shipping quickly and learning from customersStrong communication skills—able to collaborate with internal stakeholders and engage directly with customersBonus: Experience building AI/LLM-powered applications, developer tools, or observability platformsCompensation & BenefitsWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.Annual salary range: $200,000- $250,000

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Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.About this role:The Senior Software Engineer for the Model LifeCycle team will contribute to building a managed platform for the entire application development lifecycle, with a specific focus on leveraging Machine Learning models, including Large Language Models (LLMs).What You will be working on:Implement and maintain systems for fine-tuning large foundation models (SFT, PEFT, LoRA, adapters), including multi-node orchestration, checkpointing, failure recovery, and cost-efficient scaling.Implement and maintain end-to-end training pipelines for Large Language Models.Implement components for distillation and reinforcement learning pipelines (e.g., preference optimization, policy optimization, reward modeling).Develop and maintain core agent execution infrastructure.Implement features for dataset, model, and experiment management, focusing on versioning, lineage, evaluation, and reproducible fine-tuning.Collaboration and impactWork closely with Senior Engineers and Principal Engineers, as well as product and platform teams, to implement system abstractions and APIs.Contribute to technical discussions on training runtimes, scheduling, storage, and model lifecycle management.4-5+ years of industry experience with demonstrated history of consistent success leading a varied portfolio of initiatives across your functionEngage with the open-source LLM ecosystem.This role involves significant implementation ownership for core system components.What You’ll Bring to the Team:Engineering Fundamentals:Bachelor's degree in Computer Science, Engineering, or a related field.Experience delivering production-ready features.Familiarity with essential cloud-based services (e.g., compute, storage, networking).AI/ML Expertise:Familiarity with Generative AI (Large Language Models, Multimodal).Experience with AI infrastructure components (training, inference).Preferred Qualifications:Proficiency in Golang or Python for production services.Familiarity with PyTorch.Some experience with training and fine-tuning LLMs.Personal Attributes:Proactive and collaborative approach.Strong communication and interpersonal skills.Passion for building AI products and solving technical problems.Benefits:Industry competitive payRestricted Stock Units in a fast growing, well-funded technology companyHealth insurance package options that include HDHP and PPO, vision, and dental for you and your dependentsEmployer contributions to HSA accounts Paid Parental Leave Paid life insurance, short-term and long-term disability Teladoc 401(k) with a 100% match up to 4% of salaryGenerous paid time off and holiday scheduleCell phone reimbursementTuition reimbursementSubscription to the Calm appMetLife LegalCompany paid commuter benefit; $300/monthCompensation RangeCompensation will be paid in the range of up to $166,000 - $201,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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JOB DESCRIPTION: The Software Integration & Operations (SIO) group turns frontier autonomy into mission-ready aircraft. We own the commit-to-flight pipeline—deterministic simulation at cluster scale, HIL/VIL integration, CI/CD, automated testing, and release engineering. Our goal is simple: make AI fly—safely, repeatably, and fast.   As a Senior Modeling & Simulation Engineer, you will be dedicated to Shield AI’s next-generation aircraft program, advancing our infrastructure to enable a streamlined simulation test pipeline. You’ll design, build, and scale the models and infrastructure needed to use Shield’s simulation platform for qualified software validation efforts. Your simulation infrastructure will enable developers to test faster, system engineers to evaluate performance earlier, and release engineers to ship with confidence.  What You'll DoBuild and scale simulation frameworks for integrated testing of autonomy, GNC, and embedded systems in C++. Design deterministic, high-performance simulation tools capable of faster-than-real-time execution for development, testing, and release. Implement scenario simulation tooling and formal test infrastructure. Collaborate across autonomy, embedded, GNC, and test engineering to ensure the simulation mirrors real aircraft behavior and mission scenarios. Develop infrastructure for CI integration, parallel simulation execution, and automated regression testing. Profile, optimize, and validate C++ codebases for performance, determinism, and fidelity. Contribute to architecture decisions that define the next generation of aircraft simulation tools within Shield AI. Mentor engineers and guide best practices in C++, simulation architecture, and performance engineering. Required QualificationsBS or MS in Computer Science, Aerospace, Robotics, or related field. 8+ years of experience in software development, with emphasis on modern C++ (C++17 or later) and performance optimization. Proven experience developing or integrating simulation systems for robotics, aerospace, or autonomous systems. Strong grasp of real-time and deterministic software design, including multi-threading, synchronization, and memory management. Experience with DevOps-integrated simulation workflows, including CI/CD and automated hardware testing environments.  Preferred QualificationsUnderstanding of rigid-body dynamics, kinematics, and basic flight and sensor mechanics. Familiarity with sensor and actuator modeling, and integrating avionics or autonomy software within simulation.  125,000 - 175,000 a year#LI-SM1

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About HandshakeHandshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.Why join Handshake now:Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feelWork hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutionsJoin a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among othersBuild a massive, fast-growing business with billions in revenue About the RoleAs a Senior Software Engineer, you will drive the design and development of the core experiences that help students find opportunities, spanning search, discovery, jobs, and job search. You will set technical direction, uplevel engineering quality, and play a key role in scaling our platform and AI-powered experiences. In this role, you will:• Design and implement scalable, high-availability systems powering search and discovery experiences across our platform.• Lead the development of agentic AI experiences for students, including our conversational AI agent for resume help, job search, and interview prep.• Work with OpenAI real-time APIs and agentic frameworks to deliver intelligent, conversational features, and guide best practices for their use across teams.• Collaborate with cross-functional partners (Product, Design, Data, GTM) to define, build, and iterate on features that drive member value and engagement.• Own projects end-to-end, from technical design and implementation to rollout and monitoring, ensuring reliability and performance at scale.• Champion engineering excellence through code reviews, technical mentorship, and improving our tooling, standards, and architecture.Desired Capabilities5+ years of experience in software engineering, ideally with consumer platforms, marketplaces, or social apps at meaningful scale.Proficiency in programming languages such as Python, Java, or JavaScript, with a track record of delivering robust, production-quality systems.Strong product sense and user empathy, with experience shaping features that create real value for members and measurable business impact.Experience with cloud platforms (AWS, Azure, or Google Cloud) and modern architectures (microservices, event-driven systems, or distributed systems).Ability to break down complex problems, make pragmatic technical decisions, and communicate trade-offs clearly to both technical and non-technical stakeholders.Excellent communication and collaboration skills, with experience mentoring other engineers and contributing to a healthy engineering culture.Extra CreditExperience with AI, chatbots, or conversational interfaces.Background working with search, recommendations, ranking systems, or other relevance-focused products. PerksHandshake delivers benefits that help you feel supported—and thrive at work and in life. The below benefits are for full-time US employees.🎯 Ownership: Equity in a fast-growing company 💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching 🍼 Family Support: Paid parental leave, fertility benefits, parental coaching 💝 Wellbeing: Medical, dental, and vision, mental health support, wellness stipend 📚 Growth: Learning stipend, ongoing development 💻 Remote & Office: Internet, commuting, and free lunch/gym in our SF office 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days 🤝 Connection: Team outings & referral bonusesExplore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, France, Singapore, and Japan.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll doWrite the playbook for onboarding and educating customers onto Sierra – both the Agent SDK and Agent Studio, our no-code platform. Lead the creation and execution of developer training and enablement programs.Build content that scales — including technical documentation, educational videos, onboarding paths, and sample repositories for SDK adoption.Develop and deploy AI Agents as an Agent Software Engineer, building the knowledge to become a world-leading expert on agent development.Work with our marketing teams to publish developer case studies and success stories to inspire and connect our growing technical community.What you'll bringPassion for helping customers across small and large enterprises learn to build exceptional AI Agents.Degree in Computer Science or related field, or equivalent professional experience.4+ years of experience in hands-on software development of highly technical products or developer relations roles.Excellent written and verbal communication skills and a desire to apply them in hands-on training sessions.Desire, excitement, and enthusiasm for building an in-person, global community around developing AI Agents.Strong technical skills and familiarity with modern software development — especially developer tooling, SDKs, and APIs.Demonstrated experience in designing and executing technical training, certification, or community initiatives.Even better...Previous experience developing agents using open source tools like LangGraph or interacting with MCP servers.Familiarity with agent platforms, developer communities, or early-stage developer product ecosystems.Proficiency with TypeScript, and comfort with writing code in collaboration with agents like Claude, Codex or CursorExperience collaborating across product, engineering, and go-to-market teams to launch strategic initiatives.Our valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, France, Singapore, and Japan.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll doWrite the playbook for onboarding and educating customers onto Sierra – both the Agent SDK and Agent Studio, our no-code platform. Lead the creation and execution of developer training and enablement programs.Build content that scales — including technical documentation, educational videos, onboarding paths, and sample repositories for SDK adoption.Develop and deploy AI Agents as an Agent Software Engineer, building the knowledge to become a world-leading expert on agent development.Work with our marketing teams to publish developer case studies and success stories to inspire and connect our growing technical community.What you'll bringPassion for helping customers across small and large enterprises learn to build exceptional AI Agents.Degree in Computer Science or related field, or equivalent professional experience.4+ years of experience in hands-on software development of highly technical products or developer relations roles.Excellent written and verbal communication skills and a desire to apply them in hands-on training sessions.Desire, excitement, and enthusiasm for building an in-person, global community around developing AI Agents.Strong technical skills and familiarity with modern software development — especially developer tooling, SDKs, and APIs.Demonstrated experience in designing and executing technical training, certification, or community initiatives.Even better...Previous experience developing agents using open source tools like LangGraph or interacting with MCP servers.Familiarity with agent platforms, developer communities, or early-stage developer product ecosystems.Proficiency with TypeScript, and comfort with writing code in collaboration with agents like Claude, Codex or CursorExperience collaborating across product, engineering, and go-to-market teams to launch strategic initiatives.Our valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.About the team Our Public Services business unit is committed to leveraging AI for the benefit of individual citizens and the public good.From our work informing strategic government decisions, to optimising our NHS, through to protecting children from harmful online content - we know that AI offers opportunities to drive improvements at every level of Government and we are proud to lead some of the most impactful work happening in the sector. About the role As Technical Director, you’ll be our most senior technical authority on the AI solutions we propose and deliver across our Public Services clients. This is a pivotal role, requiring you to balance deep AI and machine learning expertise, with commercial and strategic leadership. We’ll look to you to define a differentiated technical vision for our Public Services customers, while mentoring and developing our world-class team of data scientists and engineers. #LI-PRIO What you'll be doing: Leading the development and delivery of advanced AI solutions, ensuring technical excellence across the entire business unitProviding hands-on technical guidance and expertise for complex, high-priority client projectsAdvising on solution architecture, advanced machine learning modelling, and engineering best practicesDefining and championing the technical strategy and vision for our Public Services clientsLeading recruiting, structuring, and professional development for technical staff within the business unitActing as the senior technical authority in key client meetings to secure and expand market opportunitiesCreating and sharing impactful technical thought leadership through conferences, articles, and other media Who we're looking for: You are an experienced technology leader, with a proven track record of successfully leading AI/ML strategy and project deliveryYou bring a strong understanding of MLOps, with experience deploying AI applications at scaleYou have experience leading full-stack technology teams, backed by a solid grasp of systems architecture and engineering fundamentalsYou are an excellent communicator, able to clearly explain complex technical information and strategy to both internal teams and C-suite clientsYou have an interest, and proven ability to mentor high-performing data scientists and machine learning engineersIdeal, but not essential - you have a knowledge of Public Service clients and experience deploying AI solutions in that sector The Interview Process Talent Team Screen (30 minutes) Introduction to the team (30 minutes) Technical Interview (90 minutes) Commercial Interview (60 minutes) Cultural & Leadership Interview (60 minutes) Meet the Execs (60 minutes)Our Recruitment EthosWe aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.Some of our standout benefits:Unlimited Annual Leave PolicyPrivate healthcare and dentalEnhanced parental leaveFamily-Friendly Flexibility & Flexible workingSanctus CoachingHybrid Working (2 days in our Old Street office, London)If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please do apply or reach out to our Talent Acquisition team for a confidential chat - talent@faculty.ai Please know we are open to conversations about part-time roles or condensed hours.

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About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team.About the TeamOver the past few years, development of LLMs has evolved at a rapid pace. It’s not enough for our customers to just “set it and forget it” when it comes to AI software. Truly successful AI Agents require hands-on execution, rigorous iteration, and deep technical delivery to reach enterprise-grade performance.We’re creating an Agent Builder Org: a specialized technical delivery team responsible for end-to-end execution of AI agent builds. Agent Builders own the hands-on work required to deliver best-in-class agents—writing and configuring key components, validating integrations, and ensuring agents perform reliably at scale. This team brings greater specialization and focus to build quality. Agent Builders are technical and customer-facing: you’ll interface with senior technical stakeholders on the customer side while also going deep on agent configuration and build execution.About the RoleAs a Forward Deployed Engineer, Agent Builder, you will be responsible for end-to-end execution of AI agent builds for strategic customers. This is a highly technical delivery role where you will own the implementation work required to launch and scale enterprise-quality agents—partnering with customers and internal teams to define success, translate requirements into build plans, and deliver agents that meaningfully impact the customer’s business.You’ll work closely with Agent PMs, Agent Success, Engineering, and GTM teams to create tight feedback loops: executing builds, surfacing gaps, and influencing the evolution of Decagon’s agent-building platform based on real customer needs. This role is ideal for someone who thrives in fast-moving environments, enjoys shipping customer-facing technical work, and can balance hands-on execution with structured thinking.In this role, you willOwn end-to-end execution of AI agent builds for enterprise customers, from initial scoping through launch and iteration.Write and maintain key agent-building artifacts (e.g., AOPs), and configure agent behavior to optimize quality, reliability, and business outcomes.Configure and validate guardrails to ensure safe, compliant, and predictable agent performance across real-world scenarios.Set up, test, and validate customer integrations (e.g., ticketing systems), including building tools and workflows needed for successful deployments.Interface with senior technical stakeholders at customers to define success criteria, gather requirements, and drive delivery against timelines.Translate customer needs into clear internal documentation and run tight feedback loops with Engineering to drive platform improvements.Partner closely with APMs, Engineering, Design, and Go-To-Market teams to deliver consistent, repeatable, best-in-class agent builds.Your background looks something like thisHave 5+ years of relevant experience in a technical customer-facing role (e.g., solutions engineering, forward-deployed engineering, technical consulting, implementation engineering, technical product/PM, or similar).Strong technical foundation: comfortable writing code, working with APIs, and building/validating integrations end-to-end.Experience delivering production-grade customer solutions that require structured execution, testing/validation, and iteration.Ability to communicate clearly with senior technical stakeholders, translate requirements into implementation plans, and drive delivery.Comfort working in fast-moving, ambiguous environments where you shape solutions as much as you implement them.Even better if you haveExperience building with or around LLMs / AI agents (prompting, evaluation, guardrails, tooling, workflow design, etc.).Experience with enterprise SaaS integrations (e.g., ticketing systems, CRM, data pipelines) and associated security/compliance considerations.A Computer Science, Engineering, or Math degree, or equivalent technical experience.Strong product instinct: ability to write crisp PRDs, define success metrics, and contribute customer insight back into product roadmap.BenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$175K – $230K • Offers Equity

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Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.  As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.  We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.  The role At Helsing we deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localise, navigate, and perceive the world in real time. You will have the unique opportunity to shape the future of AI in one of the most challenging sectors, where performance needs to be paired up with high generalisation capabilities and strong robustness against adversarial attacks. The day-to-day You will develop ML/AI that leverage and extend the latest state-of-the-art methods and architectures, as well as design experiments and conduct benchmarks to evaluate and improve their performance in real-world scenarios. You will be a part of impactful projects and will collaborate with people across several teams and backgrounds to integrate cutting edge ML/AI in our production systems. You should apply if you Hold an MSc in artificial intelligence, machine learning, computer science or a related field with experience in conceptualising, implementing, and thoroughly evaluating advanced AI-based systems. Have excellent communication skills and the ability to report and present research findings clearly and efficiently both internally and externally. Are passionate about keeping up-to-date with current research and enjoy reimplementing / extending papers on state-of-the-art Deep Learning-based approaches. Possess solid software engineering skills, writing clean and well-structured code in Python and/or languages like Rust, Java, or modern C++, and experience deploying AI software to production including testing, QA, and monitoring. Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points. Nice to have PhD in artificial intelligence, machine learning, computer science, or related field and have authored publications in top-tier journals and conferences (eg, CVPR, NeurIPS, ICLR, ICCV, ICRA, IROS). Designed, developed, evaluated state of the art AI methods on edge devices with limited compute resources and led their end-to-end product delivery. Experience with simulators, emulators, or synthetic data generators. Join Helsing and work with world-leading experts in their fields Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.  The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.  Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.  In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.   We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about.  What we offer A focus on outcomes, not time-tracking Competitive compensation and stock options Relocation support Social and education allowances Regular company events and all-hands to bring together employees as one team across Europe A hands-on onboarding program (affectionately labelled “AI-duction”), in which you will be familiarising yourself with our tools and ML pipelines used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other AI and engineering teams from day one Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.       Helsing's Candidate Privacy and Confidentiality Regime can be found here.     

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Ema is building the world’s first Universal AI Employee — an agentic AI platform that automates complex, cross-system enterprise workflows end-to-end, with humans in the loop where it matters.Unlike copilots or narrow automation tools, Ema deploys production-grade multi-agent systems that integrate deeply with enterprise SaaS platforms and execute real business processes at scale. Our customers don’t experiment — they replace brittle, manual operations with reliable AI systems that deliver measurable outcomes.Founded by leaders from Google, Coinbase, and Okta, and backed by top-tier investors, Ema operates at the frontier of enterprise AI execution, not demos. With teams across Silicon Valley and Bangalore, we are defining how agentic AI is delivered responsibly, reliably, and at scale.If you care about building and shipping real AI systems that work in production, this role is for you.Who You AreThe AI Implementation Manager owns the delivery and stabilization of Ema’s agentic AI solutions — from commitment through production rollout and steady state. This is not a research role , a support role or a coordination only project management role. You are the delivery leader and technical anchor during implementation, working closely with Value Engineering, Product, Engineering, Infrastructure, and customer IT and business teams. You build rare expertise in production-grade AI delivery. You help set the bar for how agentic AI is delivered in production and prove that AI systems can be implemented responsibly, not heroically . You help enterprises move from manual processes to reliable AI executionWhat You’ll Work On1. End-to-End AI Delivery OwnershipOwn delivery from design alignment through production rollout and stabilizationEnsure solutions align with Ema’s agentic architecture and platform capabilitie2. Feasibility Judgment & Agentic Workflow TranslationDevelop a deep understanding of the customer’s business processes and constraintsTranslate business workflows into feasible agentic AI workflows3. Technical Oversight & De-RiskingProvide delivery-focused technical oversight without being the primary builderAnticipate where AI implementations break — integrations, data quality, scale, edge cases4. Stakeholder Leadership (Internal & External)Act as the primary delivery point of contact for customer business and IT stakeholdersCoordinate across Engineering, Product, Data, Infrastructure, and Value Engineering5. Delivery Management Under PressureCoach stakeholders and teams during high-stress phasesReduce chaos — not amplify it — when things go wrong6. Progress, Reporting & StabilizationCommunicate delivery progress, risks, and decisions clearly to all audiencesTrack success through adoption signals and outcome-adjacent metrics, not just features7. Team Leadership & EnablementProvide day-to-day delivery leadership and mentorshipPromote shared standards, clear ownership, and delivery disciplineWho You AreYou have 8+ years in technical delivery, implementation management, or program leadership rolesYou have experience with agentic AI, automation, or workflow orchestration platformsYou have proven experience delivering complex, customer-facing enterprise systemsYou have Hands-on exposure to AI or automation systems in productionYou have experience working across Engineering, Product, and customer IT teamsYou have track record beyond pilots — production, scale, and accountability requiredYou have familiarity with cloud platforms (AWS, GCP, Azure), APIs, and enterprise integrationsYou have background in fast-growing startups or enterprise platform companiesYou have strong Technical and Delivery Judgement and prior experience stabilizing systems post go-live under real pressure

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About the TeamThe Sora team is pioneering multimodal capabilities for OpenAI’s foundation models. We’re a hybrid research and product team focused on integrating multimodal functionalities into our AI products, ensuring they are reliable, user-friendly, and aligned with our mission of broad societal benefit.About the RoleAs a Research Engineer, Distributed Data Systems, you will design and scale the infrastructure that powers large-scale multimodal training and evaluation at OpenAI. You’ll manage distributed data pipelines, collaborate closely with researchers to translate requirements into robust systems, and harden pipelines that serve as the backbone for Sora’s rapid iteration cycles.We’re looking for engineers who are detail-oriented, have strong experience with distributed systems, and excel at building reliable infrastructure in high-stakes environments.This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security.Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient.Partner with researchers to deeply understand requirements and translate them into production-ready systems.Harden, optimize, and maintain critical data infrastructure systems that power multimodal training and evaluation.You might thrive in this role if you:Have strong experience with distributed systems and large-scale infrastructure with a strong interest in data.Are detail-oriented and bring rigor to building and maintaining reliable systems.Demonstrate excellent software engineering fundamentals and organizational skills.Are comfortable with ambiguity and rapid change.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the teamThe AI Deployment Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. As the leader of our AI Deployment Engineers in South East Asia, you’ll help technology and software companies transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models.About the roleWe are seeking an AI Deployment Engineering leader to ensure the technical success of our most strategic technology and software customers in the Americas. In this role, you will manage the entire implementation journey, ensuring seamless platform integration. As the voice of our customers, you will align technical teams to deliver a consistent and exceptional experience throughout the customer lifecycle. Success will be measured by live production applications, increased API adoption, and impactful customer stories that demonstrate the value of our technology.This role is open in our Singapore office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Own the strategy and operating model of the AI Deployment Engineering team in SEA, ensuring alignment with company objectives and the evolving needs of our customers.Lead, build, and mentor a team of high-performing AI Deployment Engineers to deliver exceptional customer outcomes, as demonstrated by production customer applications and increased API adoption.Serve as the technical advocate for our customers, synthesizing their needs to develop the Research and Applied Product/Engineering roadmaps.Act as the primary technical escalation point during development, fostering trust and maintaining direct communication with executive-level stakeholders.Serve as an industry thought leader, championing the safe and innovative application of our technology across various sectors.You’ll thrive in this role if you:Have 8+ years of experience in a technical customer-facing role, managing C-level technical and business relationships with complex global organizations.Have 4+ years of experience leading technical post-sales teams with a demonstrated ability to hire, develop, and manage technical teams.Have led complex implementations of technical solutions (preferrably Generative AI/traditional ML related) and have knowledge of network/cloud architecture.Are an effective and polished communicator who can translate business and technical topics to all audiences and mentor others to do the same.Have a humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing to make both your team and our customers succeed.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the TeamThe org focuses on harnessing frontier AI models to transform scientific, strategic, economically important domains. They build partnerships with established industry leaders to solve distribution challenges and help bring AI innovation to these spaces. The team operates like a startup within OpenAI, with unmatched research depth, compute, and real-world impact.About the RoleWe’re looking for a Hardware Lead to drive the technical direction of a small, highly specialized team. In this role, you’ll work to improve our models’ ability to understand, reason about, and impact compute hardware development, while also contributing hands-on as an individual contributor.This is a “player-coach” role: you’ll set technical direction, mentor and manage a small team, and directly design experiments and research artifacts yourself.In This Role, You WillCo-lead and grow small hardware-focused team working on model-driven and hardware co-designAct as a hands-on technical contributor, designing and implementing hardware abstractions, tools, and evaluation frameworksDevelop and evaluate methods that enable models to reason about hardware architectures, constraints, and tradeoffsHelp define the long-term research roadmap at the intersection of AI models and hardware design We’re Looking for People WhoHave deep experience in hardware architecture, silicon development, or hardware-software co-designAre comfortable operating as a senior individual contributor while also leading and mentoring othersEnjoy ambiguous, research-driven problems with medium to long term payoffCan translate hardware realities to ML concepts (and vice versa)Are excited about the idea of AI systems meaningfully shaping future compute hardwareAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Normal Computing | Incredible OpportunitiesThe Normal Team builds foundational software and hardware that help move technology forward - supporting the semiconductor industry, critical AI infrastructure, and the broader systems that power our world. We work as one team across New York, San Francisco, Copenhagen, Seoul, and London. Your Role in Our Mission:We’re hiring an AI Researcher / AI Research Engineer to push the frontier of agentic LLMs and reinforcement learning for our agentic code generation tool, nectar. You’ll design and run experiments, build agents, curate datasets from complex technical documents (e.g., chip specifications), and create rigorous evaluations. You’ll write production‑quality research code and work closely with engineering to ship improvements to customers. Leadership not required—impact through research and building is.Responsibilities:Design and implement multi‑agent and RL approaches for agentic code generation and tool‑use.Build research prototypes that integrate with nectar; collaborate to productionize wins.Create evaluation suites: task specs, pass/fail checkers, coverage, cost/latency dashboards.Acquire and curate datasets from PDFs/logs/tables; generate synthetic data where appropriate; maintain data cards and licensing.Analyze experiments with disciplined ablations; document results and decisions.Stay current on LLM agents, RL (offline/online, RLHF/RLAIF), constrained decoding, and program synthesis.What Makes You A Great Fit:PhD in CS/AI/ML (or equivalent research experience) with publications ideally in multi‑agent RL, agentic AI, or RL for language/code.Strong Python and ML framework experience (PyTorch preferred; JAX/HF a plus).Demonstrated ability to turn research into working systems; reproducibility mindset (tests, seeds, configs, logging).Experience designing eval harnesses and success metrics for sequential/agentic tasks.Comfortable with data acquisition/curation from documents/logs; good instincts about data quality and licenses.Bonus Points For:Research on program synthesis/codegen, constrained decoding, or execution‑based rewards.Experience with offline RL from tool traces or human corrections.Open‑source contributions (e.g., CleanRL, RLlib, AutoGen, LangGraph, CrewAI, Transformers).Familiarity with semiconductor/chip domains or other complex technical specs.Track record of shipping research to production and measuring impact.Equal Employment Opportunity StatementNormal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status.Accessibility AccommodationsNormal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability, please let us know at accomodations@normalcomputing.ai.Privacy NoticeBy submitting your application, you agree that Normal Computing may collect, use, and store your personal information for employment-related purposes in accordance with our Privacy Policy.

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Intrinsic is Alphabet’s bet aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what’s possible for industrial robotics in the near future – with software and data at the core.  Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.Role As a Senior AI Research Scientist for Vision-guided robotics you will lead the research and development of novel deep learning algorithms that enable robots to perform complex, contact-rich manipulation tasks. You will explore the intersection of computer vision and robotic control, designing systems that allow robots to perceive and interact with objects in dynamic environments. Your work will involve creating models that integrate visual data to guide physical manipulation, moving beyond simple grasping to sophisticated handling of diverse items. You will collaborate with a multidisciplinary team of engineers and researchers to translate cutting-edge concepts into robust capabilities that can be deployed on physical hardware for industrial applications. How your work moves the mission forward Research and develop deep learning architectures for visual perception and sensorimotor control in contact-rich scenarios. Design algorithms that enable robots to manipulate complex or deformable objects with high precision. Collaborate with software engineers to optimize and deploy research prototypes onto physical robotic hardware. Evaluate model performance in both simulation and real-world environments to ensure robustness and reliability. Identify opportunities to apply state-of-the-art advancements in computer vision and robot learning to practical industrial problems. Mentor junior researchers and contribute to the technical direction of the manipulation research roadmap. Skills you will need to be successful PhD in Computer Science, Robotics, or a related field with a focus on machine learning or computer vision. 3 years of experience in applied research focused on robotic manipulation or robot learning. Proficiency in programming with Python and C++. Experience with deep learning frameworks such as PyTorch, JAX, or TensorFlow. Experience developing algorithms for vision-based manipulation or contact-rich interaction. Publication record in top-tier robotics or AI conferences (e.g., ICRA, IROS, CVPR, NeurIPS).  Skills that will differentiate your candidacy Experience with reinforcement learning or imitation learning for robotics. Familiarity with physics simulators like MuJoCo, Isaac Sim, or Gazebo. Experience integrating tactile sensors with visual perception systems. Experience in LfD (Learning from Demonstrations), kinesthetic learning. Background in sim-to-real transfer techniques for manipulation policies. Experience with transformer-based architectures or foundation models in a robotics context. Experience deploying machine learning models on edge compute hardwar​e. At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai.

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Intrinsic is Alphabet’s bet aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what’s possible for industrial robotics in the near future – with software and data at the core.  Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.Role As a Senior AI Research Scientist for Vision-guided robotics you will lead the research and development of novel deep learning algorithms that enable robots to perform complex, contact-rich manipulation tasks. You will explore the intersection of computer vision and robotic control, designing systems that allow robots to perceive and interact with objects in dynamic environments. Your work will involve creating models that integrate visual data to guide physical manipulation, moving beyond simple grasping to sophisticated handling of diverse items. You will collaborate with a multidisciplinary team of engineers and researchers to translate cutting-edge concepts into robust capabilities that can be deployed on physical hardware for industrial applications. How your work moves the mission forward Research and develop deep learning architectures for visual perception and sensorimotor control in contact-rich scenarios. Design algorithms that enable robots to manipulate complex or deformable objects with high precision. Collaborate with software engineers to optimize and deploy research prototypes onto physical robotic hardware. Evaluate model performance in both simulation and real-world environments to ensure robustness and reliability. Identify opportunities to apply state-of-the-art advancements in computer vision and robot learning to practical industrial problems. Mentor junior researchers and contribute to the technical direction of the manipulation research roadmap. Skills you will need to be successful PhD in Computer Science, Robotics, or a related field with a focus on machine learning or computer vision. 3 years of experience in applied research focused on robotic manipulation or robot learning. Proficiency in programming with Python and C++. Experience with deep learning frameworks such as PyTorch, JAX, or TensorFlow. Experience developing algorithms for vision-based manipulation or contact-rich interaction. Publication record in top-tier robotics or AI conferences (e.g., ICRA, IROS, CVPR, NeurIPS).  Skills that will differentiate your candidacy Experience with reinforcement learning or imitation learning for robotics. Familiarity with physics simulators like MuJoCo, Isaac Sim, or Gazebo. Experience integrating tactile sensors with visual perception systems. Experience in LfD (Learning from Demonstrations), kinesthetic learning. Background in sim-to-real transfer techniques for manipulation policies. Experience with transformer-based architectures or foundation models in a robotics context. Experience deploying machine learning models on edge compute hardwar​e. At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai.

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About Fractional AIFractional AI builds bespoke software to help organizations solve complex, high-impact problems.Every C-suite in the country is trying to bridge the gap between AI in theory and AI in practice. We close this gap with exceptional engineering talent and custom end-to-end AI builds (see some of our case studies to learn more).By joining Fractional AI, you’re stepping onto a San Francisco, NYC, NC, and Dubai-based team working on AI projects for top companies from the comfort of an engineering-first startup.Fractional AI is launching a new enterprise division, which is physically headquartered in the Triangle of North Carolina. The enterprise division is initially focused on healthcare and life sciences (an area where our leadership team has deep experience), with plans to expand into other industries as we grow. This unique opportunity allows you to be a part of the founding team to help build the division from scratch, but with the stability and resources of an established and profitable startup.About the RoleJoining Fractional AI as a Forward-Deployed Software Engineer, you’ll play a leading role in building and shipping AI applications for our customers - from understanding customer needs to deploying solutions in their environments - all while shaping our engineering and broader Fractional culture for the next 100+ engineers.“Forward-deployed” means we combine software engineering with customer-facing problem solving, owning delivery from early scoping through deployment and iteration. You’ll spend most of your time coding, but close enough to customers to shape the right solution end-to-end.By the time you’ve completed your second project, you’ll have shipped LLM applications across more companies and use cases than the vast majority of AI engineers in the world.What you bring to the tableYou write exceptional code + deeply care about the craft of coding (5+ years of experience): you build elegant, production-ready code; you have strong proficiency across multiple programming languages.You are excited about AI. Many strong candidates will be building AI systems for the first time in a production context, so curiosity and learning speed matter more to us than prior buzzword exposure.You love solving hard, new problems: you are comfortable self-teaching, asking “why?,” and experimenting to solve problems you haven’t seen before.You thrive in high-ownership environments: you take initiative, function well with limited structure, and enjoy shaping how work is done. Whether you come from prior start-up experience or a mature organization, you have owned internal systems, shipped production software, and/or made the transition from data/ML work into scalable engineering.You are comfortable talking with users: you deeply care about the user and skillfully navigate user conversations to ensure what we’re building meets their needs.You are a great teammate: you are comfortable helping others (and asking for help), you champion integrity in everything, and want to build a one-in-a-career culture of personal growth.What you'll doDesign and develop custom AI solutions tailored to the unique needs of our customers, ensuring seamless integration and scalability.Partner with a high-caliber team across the full project lifestyle, from requirements gathering, to prototyping, system design, coding, testing, deployment, and support.Actively shape our engineering and broader company culture - from how we learn, to how we hire, to how we celebrate - you’ll shape how we make Fractional a place we all love working.Our tech stackWe’re generally tech stack agnostic - we work in our customers’ environments and code bases, so we choose tools based on their needs rather than fixed preferences. A lot, but definitely not all, of our work is in Python, Typescript, Vercel, and Terraform.After working at Fractional AI for a few years, you’ll become fluent in the modern applied AI stack (e.g., LangGraph, DSPy, VLLM), from foundation model APIs to evaluation tools (e.g., Braintrust, Pydantic, InspectAI), as well as retrieval and deployment frameworks (e.g., OpenPipe, Pinecone, ChromaDB).A day in the lifeYou're on a "Project Team" designed for that client's high-impact AI need- it may be automating a call center with AI phone agents or building an AI content moderation system – each project is different.You’ll dive into one of the higher priority items for the morning (say building out an evals suite). You have a weekly standup with the customer (the CTO at the client) to chat through tradeoffs, progress, and timeline.You join team lunch (which doubles as the Fractional AI cross-project standup) to hear about different projects we’re working on … the lunch will turn into a lively debate about Weights and Biases v. Braintrust capabilities.You’ll have some solo heads down time to continue jamming on the high priority pieces for that print.Maybe you join a prospective customer call to share your perspective on what’s technically feasible on that potential project.We move quickly, but sustainably, and believe strong execution comes from good judgment, not burnout.Who you'll work withYou’ll report to Rebecca, who leads our Enterprise engineering team, and will also collaborate closely with Kyle, who leads Enterprise sales and business development.You’ll work very closely with other engineers on the Enterprise team -- most project teams consist of 2-5 engineers and a Forward-Deployed Product Manager. We also love collaborating and knowledge-sharing with our counterparts in the SF, NYC, and Dubai offices (we’re all on the same Slack, which makes that easy even across time zones).You’ll also spend time partnering with Eddie, our Co-Founder and CTO, our CEO, Chris, and Chairman, Travis.Why you should (and shouldn’t) join usWe’re big believers in transparency and know joining a company is a big decision. We’re not the best fit for everyone and try to be clear on what we are and what we’re not so you make the choice that’s right for you.Why join Fractional?Build on the forefront of applied AI: You’ll have a front row seat to how the world’s leading companies are actually deploying AI solutions. By the time you’ve completed your second project, you’ll have shipped LLM applications across more companies and use cases than the vast majority of AI engineers in the world.Solve big, real problems: Companies come to us when they can’t solve some of their biggest problems themselves. For you, that means learning everyday, never getting bored, and working across a range of industries, customers, and products.Learn with and from the best in person: We're a team of senior engineers (some former founders, some former engineering leaders) who only want to work on high-impact projects. Working elbow to elbow in our NC office means things like team lunches, quick brainstorming, and the right amount of banter.Why shouldn't you join Fractional?Preference for just speed or quality: We love hacking things together for a proof of concept but ultimately our code will be put into production in our customers’ environments - you need to enjoy balancing elegance and expediency.Predictability is important to you: You’ll be working across customers, programming languages, industries and projects, which means you won’t be becoming an expert in the same product suite or serving the same user day after day.Customers aren’t your thing: You’ll spend most of your time coding but will be closer to the customer than in most engineering roles. You’ll frequently interact with engineers from the customer’s team to ask questions and problem solve. A deep understanding and appreciation of the customer is crucial.Our ValuesOverdeliver.Overuse AI.Over "engineer" the culture.LocationRaleigh-Durham-Chapel Hill Area, NCWork Arrangement: 4 days in-person, Fridays remoteBenefits🏦 Competitive Compensation Package: Attractive salary aligned with your experience and skills.📈 401k with Matching: Invest in your future with our company-matched retirement plan.🌴 Unlimited PTO: Take the time you need to relax and rejuvenate.🏥 Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy.🚑 Health FSA: Manage out-of-pocket health expenses effectively.🚌 Commuter Benefits: Make your travel to work easier and more affordable.🏥 Life Insurance: Providing peace of mind for you and your loved ones.🎉 Team Events and Activities: Regular events to build camaraderie and a strong team spirit.Ready to join us?

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 1000+ customers in 58+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewWe are looking for a legal researcher with a strong understanding of how law firms, financial institutions, large corporations, and other organizations deliver professional services and execute complex legal and knowledge work tasks. We have incredible product-market fit and demand across diverse customer profiles. Executing on this demand requires a strong understanding of our customers' workflows and how those workflows can be accelerated by AI systems.What You'll DoTo facilitate the development of these systems, you will:Develop and deliver subject-matter expertise to support AI researchWork closely with our engineering, product, and design teams to define and develop AI systemsBuild and improve AI systems through prompt engineering, fine tuning, and other techniquesBuild proprietary benchmarks and datasets to evaluate models and model systemsPartner directly with clients to understand their workflows, identify pain points, and translate complex business and legal requirements into technical solutionsWhat You Have3-7 years of experience at a law firm, financial institution, or equivalent professional service providerDemonstrated ability to deliver high quality work product on demanding deadlinesAbility to effectively communicate with a variety internal and external stakeholders and translate complex problems effectively between themAbility to define positive outcomes in situations with underspecified success criteriaDeep intellectual curiosity and eagerness to learn across domainsWillingness and desire to do work in the trenches - e.g., grading hundreds of answers, breaking down thousands of documents - getting the models to do junior associate work requires a lot of things that look like junior associate workPlease find our CA applicant privacy notice here.Compensation Range$180,000 - $220,000 USDHarvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 1000+ customers in 58+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewWe are looking for a legal researcher with a strong understanding of how law firms, financial institutions, large corporations, and other organizations deliver professional services and execute complex legal and knowledge work tasks. We have incredible product-market fit and demand across diverse customer profiles. Executing on this demand requires a strong understanding of our customers' workflows and how those workflows can be accelerated by AI systems.What You'll DoTo facilitate the development of these systems, you will:Develop and deliver subject-matter expertise to support AI researchWork closely with our engineering, product, and design teams to define and develop AI systemsBuild and improve AI systems through prompt engineering, fine tuning, and other techniquesBuild proprietary benchmarks and datasets to evaluate models and model systemsPartner directly with clients to understand their workflows, identify pain points, and translate complex business and legal requirements into technical solutionsWhat You Have3-7 years of experience at a law firm, financial institution, or equivalent professional service providerDemonstrated ability to deliver high quality work product on demanding deadlinesAbility to effectively communicate with a variety internal and external stakeholders and translate complex problems effectively between themAbility to define positive outcomes in situations with underspecified success criteriaDeep intellectual curiosity and eagerness to learn across domainsWillingness and desire to do work in the trenches - e.g., grading hundreds of answers, breaking down thousands of documents - getting the models to do junior associate work requires a lot of things that look like junior associate workPlease find our CA applicant privacy notice here.Compensation Range$180,000 - $220,000 USDHarvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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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.About The RoleAs a Forward Deployed Engineer, you will sit at the intersection of engineering, product, and customer delivery. You’ll embed directly with customers, deeply understand their workflows, and design and deploy AI-powered solutions that deliver immediate, real-world impact.This is a highly autonomous, hands-on role for someone who thrives in ambiguous environments, enjoys working directly with customers, and wants to shape product direction through what they see in the field. You’ll partner closely with Product and Engineering to turn customer needs into scalable systems that improve how healthcare organizations operate.This is a hybrid position. Our team is in-office 3 days a week (Mon, Tue, Thu) in San Mateo, California. What You’ll DoEmbed directly with customers to understand their workflows, constraints, and success criteriaDesign, build, and deploy AI-driven solutions tailored to real operational problemsBuild and maintain production systems including APIs, integrations, monitoring, and feedback loopsTranslate business requirements and customer needs into technical architectures and implementationsOperate in high-stakes environments where reliability, speed, and judgment matterIdentify patterns across customer deployments and feed insights back into core product and platform developmentPartner closely with Product and Engineering to influence roadmap, abstractions, and long-term system designOwn deployments end-to-end, from initial scoping through launch and iterationWhat We’re Looking For3+ years of software engineering experience, ideally with backend or systems-focused workStrong proficiency in Python (TypeScript / JavaScript experience is a plus)Experience working with cloud infrastructure (AWS, GCP, or Azure)Ability to translate ambiguous requirements into working, production-ready systemsStrong communication skills and comfort working with both technical and non-technical stakeholdersHigh ownership mindset with the ability to operate independently in fast-changing environmentsExperience with AI systems (LLMs, vector databases, prompt engineering, or agent frameworks) is a strong plus