AI Software Engineer Jobs

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Why HarveyHarvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others.Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI.World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.Performance: 4x ARR in 2024.Competitive compensation.Role OverviewWe are seeking an Enterprise Account Executive to lead commercial growth across Germany. This role is responsible for identifying opportunities, managing complex sales cycles, and building long-term relationships within the legal and professional services sector.This position will play a key role in expanding Harvey’s presence in the DACH region, working cross-functionally to deliver tailored solutions to clients.What You’ll DoDeliver against sales targets with a focus on sustainable growth and performance excellence.Own and grow a portfolio of named enterprise accounts across Germany, driving full-funnel sales activity from prospecting through to commercial negotiation and onboarding.Understand client pain points, organisational structure, and buying processes; tailor solutions that align with strategic outcomes.Lead high-impact product demos and client meetings that clearly articulate Harvey’s business value and technical capabilities.Collaborate cross-functionally with product, legal, engineering, and GTM to inform roadmap and surface client needs.Develop deep, long-term relationships with legal, innovation, and executive stakeholders across the region.Document learnings, iterate on messaging, and help build scalable processes to accelerate regional growth.What You HaveMinimum 5 years of experience in enterprise B2B SaaS sales, preferably with exposure to AI, legaltech, or vertical softwareTrack record of success managing complex sales cycles with multiple stakeholdersStrong communication skills, with the ability to explain technical products to non-technical audiencesInterest in the legal industry and a commitment to enhancing knowledge work through technologyFamiliarity with enterprise sales practices in the German regionSelf-motivated and results-oriented, with a collaborative approach to working cross-functionallyAdditional Information for PostingsLocation: GermanyWork eligibility: Must have valid German work rights; Harvey does not currently offer visa sponsorship for this roleWhat We OfferBe part of building something special as a founding member of our Germany teamOpportunities to work on cross-functional go-to-market initiatives, with a focus on scaling sales strategy and driving revenue growthPlease find our applicant privacy notice here.Harvey 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 interview-help@harvey.ai.

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About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the Ad Cloud Bidding Team The Ad Cloud Bidding Team is at the forefront of Appier's AI-driven advertising solutions. We develop high-throughput and low-latency systems that deliver superior ROAS (Return On Ad Spend) and maximize campaign ROI for clients worldwide. Our services optimize budget allocation across premium, high-intent inventories, and process billions of requests per day with millisecond precision. You will use advanced C++ technologies to build robust and scalable infrastructure that is foundational to our AI decision-making engines in a fast-paced, data-intensive environment where performance is paramount. About the role Software engineers(Ad Cloud Bidding) at Appier build a wide range of platforms and services that interconnect data and AI with our customers and users. As a Senior/Staff Software Engineer, C++ Backend Development, you will play a critical role in designing and building scalable and performant backend architecture, owning and driving the technical roadmap for sizable projects or services. You will also have the opportunity to mentor junior engineers and facilitate high-performance agile teams collaborating with cross-functional teams. The final job title (Senior or Staff) will be determined based on the candidate's experience, interview performance, and overall fit for the team. About you [Minimum qualifications] 3-5+ years of experience in software development Proficient in modern C++ programming (C++11 and later) Familiar with Unix/Linux environments Solid understanding of system programming Experience in developing low-latency (millisecond-scale) and high-throughput (>1K QPS per machine) systems Experience in service optimization and performance tuning Proactive, good interpersonal and problem-solving skills [Preferred qualifications] Experience in modern build systems Experience in operation automation tools Experience in cloud services Good understanding of monitoring and alert system #LI-SW1

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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 We are seeking passionate Research Scientists and Engineers to join our growing Pre-training team in Zurich. We are involved in developing the next generation of large language models. The team primarily focuses on multimodal capabilities: giving LLMs the ability to understand and interact with modalities other than text. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Responsibilities In this role you will interact with many parts of the engineering and research stacks. Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development Independently lead small research projects while collaborating with team members on larger initiatives Design, run, and analyze scientific experiments to advance our understanding of large language models Optimize and scale our training infrastructure to improve efficiency and reliability Develop and improve dev tooling to enhance team productivity Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications & Experience We encourage you to apply even if you do not believe you meet every single criterion. Because we focus on so many areas, the team is looking for both experienced engineers and strong researchers, and encourage anyone along the researcher/engineer spectrum to apply. Degree (BA required, MS or PhD preferred) in Computer Science, Machine Learning, or a related field Strong software engineering skills with a proven track record of building complex systems Expertise in Python and deep learning frameworks Have worked on high-performance, large-scale ML systems, particularly in the context of language modeling Familiarity with ML Accelerators, Kubernetes, and large-scale data processing Strong problem-solving skills and a results-oriented mindset Excellent communication skills and ability to work in a collaborative environment You'll thrive in this role if you Have significant software engineering experience Are able to balance research goals with practical engineering constraints Are happy to take on tasks outside your job description to support the team Enjoy pair programming and collaborative work Are eager to learn more about machine learning research Are enthusiastic to work at an organization that functions as a single, cohesive team pursuing large-scale AI research projects Have ambitious goals for AI safety and general progress in the next few years, and you’re excited to create the best outcomes over the long-term Sample Projects Optimizing the throughput of novel attention mechanisms Proposing Transformer variants, and experimentally comparing their performance Preparing large-scale datasets for model consumption Scaling distributed training jobs to thousands of accelerators Designing fault tolerance strategies for training infrastructure Creating interactive visualizations of model internals, such as attention patterns If you're excited about pushing the boundaries of AI while prioritizing safety and ethics, we want to hear from you!Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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The Software Applications Engineer will provide technical expertise and support to customers during the implementation and use of Shield AI enterprise software products. This role involves working closely with customers to understand their requirements and ensuring successful product integration for AI & Autonomy development. 

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What is Findem: Findem is HR 2.0. We’re a fast-growth startup with an ambitious vision and the technology to back it up. Our People Intelligence platform uses true AI and machine learning to provide critical solutions for talent acquisition and people analytics functions. With the deep insights that our platform provides, companies can build more engaged and diverse teams, and close their talent gaps faster. We have an amazing opportunity to establish ourselves as leaders in this space, and we need strong advocates to help us achieve that goal. We’re backed by top-tier investors including Wing Venture Capital – the same firm that backed Snowflake, Cohesity, and Gong. Findem powers businesses across scaling, pre-IPO, and publicly traded companies who trust us to solve their biggest HR and Talent challenges. We have an incredibly skilled and collaborative team that values curiosity, diversity, openness and building great experiences every day for our customers. By joining Findem, you will have the unique opportunity to help define what the future of HR looks like for every business. Why We Need You: We’re building the future of AI-driven sourcing and talent intelligence—and we’re looking for a hands-on, high-impact Staff Quality Assurance Engineer to lead the charge in leveraging AI technologies for development and testing. This individual will bring deep expertise in applying AI and QA processes and will help Findem modernize our testing capabilities. Specifically, by incorporating AI, this role would enable us to scale QA to support more projects and ensure thorough coverage across both existing products and our rapidly expanding portfolio of AI-driven features.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?Evaluation is critical to making progress in scaling intelligence. As models continue to become superhuman in many real-world use cases, we must continue to develop new techniques to accurately measure our models' performance on frontier capabilities. In this role, you are responsible for creating next-generation evaluation methods and scalable infrastructure to measure LLM progress.As a Senior Research Engineer, Model Evaluation, you will:Develop evaluation benchmarks, datasets, and environments for measuring the bleeding edge of model capabilitiesConduct research to push the state-of-the-art in LLM evaluation methods, including training LLM judges; improving evaluation efficiency; and scalably building high-quality datasetsBuild scalable tools for investigating and understanding evaluation results that are used by all members of technical staff at Cohere, as well as leadership and our CEOLearn from and work with the best researchers and engineers in the fieldYou may be a good fit if:You enjoy pushing the limits of what LLMs are capable of, and you have built high-quality evaluation resources to measure those capabilities (datasets, simulators, environments, etc.)You have a track record of developing new methods and/or data to evaluate LLMs, e.g. publications at top-tier conferences, popular benchmarks, etc.You have deep experience building with and around LLMs, and you have built tools for analyzing and understanding their performanceYou have strong software engineering skillsIf some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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We are looking for a highly skilled Member of Technical Staff to lead the development of cutting-edge workflows. You will build autonomous systems that can navigate complex scientific tasks entirely through natural language conversation. In your role, you will architect and deploy reasoning systems that democratise access to breakthrough synthetic biology tools, enabling researchers worldwide to leverage our frontier models through intuitive chat interfaces.Who we are:At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind's Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology.Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites.We're looking for innovators passionate about tackling complex challenges and maximising positive global impact. Join us on our moonshot mission.Who You Are:You are a strong software engineer with deep experience in Python, API design, and distributed systems architecture.You are an expert in LLM orchestration. You have hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) and orchestration frameworks like LangChain, LlamaIndex, or have built custom agent frameworks from scratch.You understand intelligent information retrieval. You have experience with RAG (Retrieval-Augmented Generation) systems, vector databases, and embedding models for knowledge extraction.You can architect complex workflows. You have experience with workflow orchestration tools (Airflow, Prefect, Temporal) or have built custom pipeline systems for multi-step autonomous processes.You bridge science and engineering. You are comfortable with scientific computing libraries (NumPy, SciPy, pandas) and understand scientific literature formats, databases (PubMed, arXiv), and academic data processing.What Sets You Apart:You have a research background. You are a former academic researcher who transitioned to industry ML/AI roles, or a research software engineer with deep ML/AI experience.You're passionate about scientific automation. You have experience with document processing, OCR, text extraction from academic papers, and scientific data formats.You understand the research ecosystem. You have worked in academic or pharmaceutical research environments and understand research workflows and publishing processes.You're a multimodal specialist. You have a background in natural language processing, particularly for scientific text processing and citation networks.Your Responsibilities:Build autonomous scientific agents that can execute complex research workflows through natural language interaction—from protein structure analysis to experimental design.Architect end-to-end reasoning systems that integrate our platform capabilities with intelligent decision-making, enabling users to accomplish sophisticated tasks through simple chat interfaces.Develop knowledge discovery pipelines that can autonomously mine scientific literature, identify undrugged disease pathways, and propose novel therapeutic targets.Create scientific content at scale by building agents that can design experiments, generate hypotheses, and produce research-grade articles and blog posts.Pioneer autonomous lab workflows by developing agents that can design complex biological systems (like protein-based logic gates) and orchestrate their validation.Collaborate with scientists to understand research pain points and translate them into intelligent automation solutions.Publish and evangelise breakthrough applications of agentic workflows in synthetic biology through articles, blog posts, and scientific demonstrations.Apply:We offer strongly competitive compensation and benefits packages, including:Private health insurancePension/401(K) contributionsGenerous leave policies (including gender neutral parental leave)Hybrid workingTravel opportunities and moreWe also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models.We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

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Ryz Labs is seeking Blender - AI Trainer who are eager to collaborate with leading AI labs to push the boundaries of frontier AI models. You will work to train and evaluate these models to understand, replicate, and enhance the workflows developers use on these platforms. Qualifications: - Have 2+ years of experience in working with Blender.- Possess deep expertise using and understanding Blender as a tool.- Demonstrate strong attention to detail.- Have excellent verbal and written communication skills. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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We are seeking negotiation experts for a premier project with one of the world's leading AI labs. In this role, you will apply your subject matter expertise to a cutting-edge initiative involving state-of-the-art large language models. Your contribution will help create high-quality data by modeling how experts approach, strategize, and execute complex negotiations, thereby informing the future of AI innovation. Qualifications:- Senior business leader (e.g., partner-level consultant, C-suite executive, senior corporate development professional) or an academic (Assistant, Associate, or Full Professor) with deep negotiation experience.- Have demonstrated experience in designing, executing, and debriefing high-stakes negotiations, including:Mergers & acquisitionsLabor contractsCross-border joint venturesCrisis settlements- Multilateral climate/ESG agreements- Publish or teach advanced material on negotiation strategy, behavioral decision-making, or game-theoretic bargaining.- Regularly lead executive programs or advise on complex, high-stakes deals.- Possess excellent communication skills and a nuanced understanding of strategic dynamics in negotiation. Nice to have:- Professionals with 10+ years of experience leading or advising on complex negotiations.- A portfolio of landmark deals or conflict resolutions.- PhD or equivalent in Management, Economics, Psychology, or Law with a focus on negotiation.- An active research pipeline with publications in journals like Journal of Applied Psychology, Management Science, or Negotiation and Conflict Management Research.- Recognized thought leaders with credentials such as keynote invitations, bestselling case studies, industry awards, or widely cited negotiation frameworks. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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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 You will be part of a team developing the world's first AI-enabled electronic warfare capability for a 4+ generation fighter jet, from concept to maiden flight. As a member of our chief engineering team, you will lead and guide all validation and verification (V&V) engineering activities. This includes defining the overall system and software V&V strategy, setting up the V&V process and tool chain, and executing all V&V activities in full compliance with aerospace standards. Your main challenge is to collaborate with our world-leading AI software team to ensure the developed software meets the contractual qualification requirements while exceeding customer expectations. The day-to-day As a key member of the Chief Engineering team, your day-to-day responsibilities include: Negotiate system qualification requirements and MoC with our customer, derive high-level software performance requirements, and validate high-level software performance requirements in close collaboration with our software leads Improve the traceability of system qualification requirements across all relevant software development artifacts, and develop a V&V product strategy to ensure the successful qualification of the final system and software. Work collaboratively with the project manager to ensure proper planning of all V&V activities, monitor technical progress, and guide the team toward successful qualification Oversee the preparation of all V&V documents to ensure they meet compliance and certification standards. Authorize the documents before they are delivered to the customer Lead the final software product qualification activities with both customer and authorities. Collaborate closely with our quality assurance team to ensure that all V&V deliverables adhere to established quality standards. Address any issues promptly to maintain the integrity of the project. Provide regular updates on the V&V status and any technical issues identified to the Chief Engineering and Program Management teams, ensuring all stakeholders are informed of significant developments You should apply if you Led already a 10+ system V&V team for the development of avionics or electronic warfare systems, from initial requirements definition to final qualification Successfully verified and validated at least two software-intensive avionics or electronic warfare systems currently in service Tested embedded software for an avionics or electronic warfare system in accordance with DO-178C standards and successfully passed the final qualification review Established a successful relationship with at least one civil or military aviation authority and participated in at least two panel meetings or Stage of Involvement (SOI) activities Hold a degree in aerospace engineering, electrical engineering, physics, computer science, or another engineering discipline that provides a strong technical understanding of complex topics Possess excellent communication skills and the ability to report and present results clearly and effectively to both internal and external stakeholders Demonstrate a passion for teamwork, with the ability to coordinate and guide the team to meet aerospace standards Note: We operate in an industry 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. 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   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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Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.Dataiku’s mission is big: to enable all people throughout companies around the world to use data by removing friction surrounding data access, cleaning, modeling, deployment, and more. But it’s not just about technology and processes; at Dataiku, we also believe that people (including our people!) are a critical piece of the equation. Dataiku’s value proposition is unique on the market as it allows people with very different types of expertise & technical skills to collaborate on a single platform, from no-code/business people to the most advanced Data Scientists, and develop end-to-end Analytics, Predictive and Gen AI projects, from data exploration to project & model deployment and monitoring. Mission Description Appetite for Gen AI is big, but practical approaches often remain to be unlocked for material success to be delivered. Our unique value proposition, centered around offering organizations to accelerate comprehensive Gen AI roadmaps from design to deployment with high standards of scalability and quality, demands for customers to move past the experimentation stage into tangible delivery to deliver highest impact. As we accompany them on this journey, we have a unique opportunity to put current capabilities in motion, and shape coming features through transformative co-innovation motions.  As a Technical Gen AI Product Specialist you will be in the field with our customers supporting them in unlocking the potential of our GenAI value proposition. You will guide our customers through any technical challenges they may face and build relationships with stakeholders. Your role will allow Dataiku to further reinforce its positioning in the Gen AI space, and you will play a key role in ensuring full enablement of our different teams on our value prop. How you’ll make an impact  Act as a technical Expert on Dataiku’s Gen AI value prop both in terms of vision and features as well in putting it in action. Practically speaking, you will be engaging with customers and partners at different stages of the funnel, supporting them in understanding how to address their immediate Gen AI priorities with Dataiku, including being the hands-on lead in delivering first success. Develop the right set of assets to build more scale and autonomy across teams, along with PMM and other teams. You will notably work on the roll out of Agent Connect and other Gen AI features, ensuring their usage significantly grows, with all enhancements needs being well documented. As part of this mission, you will play a key role in actively supporting functional tests of different Gen AI capabilities and early prototyping. You will actively work on developing a strong applied vision of Gen AI along with the Solution team and will actively contribute to building golden demos or solutions leveraging Dataiku’s capabilities.  Significantly reinforce our detailed understanding of Gen AI deliveries by our existing customers. Reinforce our range of supporting partnership and grow our resonance in the Gen AI eco-system. As part of this, you will support or lead the development of new partnerships (with consulting and tech partners), ensuring Dataiku is always fully aware of the eco-system evolution, and well identified. Testing other technologies and how they relate/integrate with Dataiku. Tactical development of new technical assets working closely with R&D. Why this is a unique opportunity Be the Tip of the Spear: You will be hands-on with customers guiding them to their first major successes with Gen AI and agents  on Dataiku, directly influencing their technology roadmap and our partnership. Shape the Future: While you won't own the product roadmap , your direct feedback from customer engagements and early prototyping will be critical in shaping upcoming features and co-innovation initiatives. Build Your Brand: You will have the opportunity to reinforce Dataiku's position in the Gen AI space by developing partnerships with consulting and tech partners and growing our resonance in the AI ecosystem. Drive Scale and Enablement: The assets, demos, and best practices you develop will be used to enable teams across Dataiku, multiplying your impact and building your reputation as a go-to expert. What a typical week could look like You might spend Monday and Tuesday in deep, hands-on sessions with a new customer, building out their first RAG or Agentic application and overcoming technical hurdles to deliver initial success. On Wednesday, you could be collaborating with the Product Marketing and Solutions teams to build a "golden demo" that showcases a new Agent Connect capability for an upcoming industry event. Thursday may involve a strategic call with a new tech partner to explore integration possibilities, ensuring Dataiku stays at the cutting edge of the ecosystem. On Friday, you could be documenting your findings from the week, creating reusable assets for the wider team, and participating in functional testing for an early-stage prototype. What you need to be successful  You have 5 years+ of experience in the data science and technology field, with a solid track record in understanding new technologies, market trends, and putting new tech in motion. With deep hands-on experience in delivering data science projects involving Large Language Models. Capable of explaining technical concepts in a simple, business friendly manner, to test and learn so as to identify the best approaches quickly.  Degree in Computer Science, Engineering, or a related field, with relevant certifications in AI and machine learning considered a plus. Passionate about cutting-edge technology and its practical applications, especially in AI and machine learning. Skilled in building and customizing AI agents tailored to meet specific customer needs and business objectives. Familiarity with AI & Agentic development tools, frameworks (langchain, LlamaIndex or similar), and methodologies, with a continuous learning mindset to stay updated with industry trends. Experience with RAG and vector databases Conceptual understanding of core architectural components like Kubernetes Strong understanding of Dataiku and its positioning. Strong communication skills Organized, structured, able to produce strong reusable assets (from slides and docs to Gen AI use-cases and other technical assets) 3+ years of experience with Python, hands on experience with data ETL, cleaning, machine learning algorithms and Large Language Models. Experience developing WebApps (Javascript,Dash or RShiny..) will be a plus.  Based in EMEA at or close to a Dataiku office, and able to travel.#LI-Hybrid   What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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ABOUT US:At Brisk Teaching, we aim to lighten the workload for teachers with AI powered tools that take care of administrative tasks so that teachers can spend more time doing what they love - teaching. Brisk is an AI-powered Chrome extension that simplifies teaching by integrating seamlessly with tools teachers already use like Google Classroom, Docs, Slides, YouTube, and articles. In seconds, teachers can create instructional materials, provide feedback, and evaluate student work - right from where they're already working.We are a diverse group of technologists, educators, and parents, all united by a passion to improve the lives of educators. With over a decade of collective teaching experience and roles at leading education technology companies like the Chan Zuckerberg Institute, Seesaw Learning, PBS Kids, Clever, NoRedInk, Panorama Education, GoGuardian, and Edulastic, we deeply understand what educators need.THE OPPORTUNITY:We are looking for a Senior or Staff Frontend-Leaning Full-Stack Engineer to help us build and scale the next generation of Brisk's AI-powered tools. You will play a critical role in building our web application, contributing both to the user-facing features (frontend) and the server-side logic (backend). As part of a small team, you’ll have the opportunity to drive impactful features, influence the direction of our platform, and contribute to the development of educational tools that have a direct impact on the teaching community.YOU WILL:Product Development: Contribute to both the design and development of Brisk’s platform, ensuring high-quality software that meets the needs of teachers and students.Frontend Development: Lead the development of rich, responsive, and intuitive user interfaces using React and TypeScript. You should understand how React works, how to manage application state, and how to efficiently use its tools for rendering and updating UI. You'll be responsible for creating seamless interactions, delightful experiences, and ensuring that our UI is both functional and aesthetically pleasing.Backend Development: Build and maintain scalable backend services using Python, Flask, and other relevant frameworks to support the frontend features. You’ll also be tasked with working on APIs that integrate with the frontend, ensuring clear and efficient communication between client and server.User Experience: Develop a keen attention to detail when it comes to user experience, making sure that interactions are not only functional but delightful. You will contribute to making sure the user interface is intuitive, performant, and easy to use.Performance Optimization: Optimize the performance of the platform by understanding the browser's behavior, how it renders elements, and optimizing CSS, layout models, and positioning. You'll be responsible for ensuring our app is performant across all devices and browsers.Cross-Functional Collaboration: Work closely with other engineers, the founding team, and designers to iterate and ship new features and improvements.Cloud Infrastructure: Help manage our AWS infrastructure to ensure reliability, security, and scalability of our services.Technical Leadership: As a senior engineer, you'll contribute to defining and enforcing best engineering practices, conducting code reviews, and mentoring other team members in both frontend and full-stack development.YOU HAVE:React Expertise: Solid understanding of how React works, including component lifecycles, hooks, and state management. You should be comfortable building complex UI and managing application state effectively.CSS and Layout Skills: Deep understanding of CSS, layout models (Flexbox, Grid), and the positioning model. You'll need to ensure that the UI is visually appealing and works well across different screen sizes and devices.Performance and Accessibility Focus: Prioritization of performance and accessibility in every aspect of development. This includes ensuring that the application loads quickly, interactions are smooth, and the app is usable by people with a range of abilities.API Knowledge: Experience in building and consuming APIs to support the frontend and backend integration. You’ll need to understand how APIs work and be comfortable making asynchronous requests from the frontend.User-Centered Mindset: A passion for building delightful user experiences. You'll need to constantly think about the user journey, interactions, and how you can make the product both enjoyable and efficient for educators to use.Attention to Detail: Pride on your attention to detail—whether it's fixing small UI issues, optimizing performance, or ensuring an interaction is as intuitive as possible.Cloud and Backend Experience: Proficiency in Python and experience with backend frameworks like Flask (or similar), as well as cloud infrastructure knowledge, particularly AWS.Experience: At least 5 years of professional software engineering experience, with a balanced focus on both frontend and backend development. Strong knowledge of state management, browser internals, and how the CSS rendering pipeline works will be critical.Team Collaboration: A proven track record of working collaboratively with other engineers and cross-functional teams to deliver high-quality software.WHAT WE OFFER:Competitive salaryStock options, vested over 4 yearsComprehensive benefits package, including health, dental, and vision insurance.Opportunities for professional growth and development.Collaborate with your teammates two times a week via our hybrid model in either our San Francisco or New York City offices.A supportive and collaborative work environment.The chance to make a meaningful impact on education through innovative technology.Equal Employment Opportunity & DiversityAt Brisk, we believe that diverse perspectives make better teams and stronger products. We are an equal opportunity employer 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 or expression, age, national origin, veteran status, disability, or any other legally protected status.

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About Us:webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI.About the Role: As a Forward Deployed AI Engineer at webAI, you will be on the front lines of integrating cutting-edge AI solutions into real-world enterprise environments. You will work directly with customers to understand their needs, deploy AI systems into their infrastructure, and ensure high performance and reliability at scale. You’ll help bridge the gap between research, engineering, and operations—playing a pivotal role in building the future of edge AI.This role will require a minimum of 25% travel, including occasional on-site work at customer locations to support deployment, troubleshooting, and integration of our platform within enterprise environments.Key Responsibilities:Collaborate closely with customers to scope, deploy, and maintain AI solutions in production environments.Debug and optimize data pipelines and AI systems running on customer networks.Translate complex, often ambiguous customer requirements into well-scoped technical solutions.Work across the stack—from model inference on consumer hardware to infrastructure automation.Read hardware schematics/logs to identify performance bottlenecks and suggest improvements.Serve as a trusted technical advisor to enterprise clients, representing the engineering team externally.Contribute feedback and insight to internal teams to continuously improve product robustness and usability.Required Skills & Qualifications:5+ years of combined experience in software engineering and machine learning.Proven track record of deploying and maintaining machine learning/AI systems in production.Strong expertise in MLX and/or PyTorch.Experience debugging complex systems involving data pipelines, model inference, and hardware interaction.Exceptional communication skills; able to challenge vague requirements and turn them into actionable plans.Comfortable working in dynamic environments with high customer exposure.Preferred Qualifications:Experience deploying models on edge devices or consumer hardware.Familiarity with distributed systems, DevOps tooling, and performance tuning.Prior experience in a customer-facing engineering role.Knowledge of privacy-preserving AI and secure compute environments.Master’s degree in a relevant technical discipline. We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:Truth - Emphasizing transparency and honesty in every interaction and decision.Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients. Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.Benefits:Competitive salary and performance-based incentives.Comprehensive health, dental, and vision benefits package.401k Match$200/mos Health and Wellness Stipend$400/year Continuing Education CreditFree parking, for in-office employeesUnlimited Approved PTOParental, Bereavement LeaveSupplemental Life Insurance webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

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Who We Are  PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning. Rigorous science and careful analysis is critical to the success of everything we aspire to do. Our team, comprising of diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact. We're looking for skilled and experienced engineers to join our team and help lay the groundwork for our growing software platform. We believe in using the best tool for the job. While we’re always looking to improve, in this role, those tools currently include: Python/Django Django REST framework PostgreSQL VueJS What You’ll Do:  Solve interesting problems with code. Build new features for internal and external users, and refactor existing ones to make them better. Work with a wide range of systems, processes, and technologies to solve problems in sustainable ways. Sometimes you'll be neck-deep in low-level systems, and other times you'll be pairing up with the front-end team on the user interface. Drive the architecture of our application platform, considering the team and our future product roadmap. Collaborate with product, design, front-end, machine learning, and infrastructure teams. Drive and uphold high engineering standards, bringing consistency to the codebases you encounter and ensuring software is adequately reviewed, tested, and integrated. Mentor, learn, and share knowledge with others along the way. Contribute to the development of software as a medical device aiming at improving patient outcomes What You'll Need Experience. You've been around the block more than a couple times, typically via 2+ years of work in this field. Education. Generally, a bachelor's degree is really helpful in working with our team on this kind of work, however, equivalent years of experience can substitute. An insatiable intellectual curiosity and the ability to learn quickly in a complex space We Want to Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.  PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.  #LI-Remote

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We are a global AI research and technology company focused on building Universal Simulation systems. The research we are doing and the tools we are building are maturing rapidly and are quickly becoming the foundation for how we will all soon approach making anything. From images to videos, scripted media to documentaries, graphic design to architecture, interactive games to social media, new forms of learning and the future of entertainment itself. Everyone will be empowered to make anything. There will no longer be any barriers to entry. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.About the role *Open to hiring remote across the US— we also have offices in NYC, San Francisco, and Seattle We are growing our commercial team and looking for growth minded individuals who are passionate about the future of AI and content creation. In this role you’ll be identifying use cases where our technology can solve problems, and helping businesses think strategically about incorporating Runway into their workflows. What you’ll do Identify new prospective customers and own the commercial process from initial engagement to contract signing Develop innovative applications for our software and experiment within customer conversations Craft compelling stories that articulate the value and potential of our technology to businesses Foster relationships with key decision-makers and innovators, including executives and senior leadership teams to partner on deploying and growing usage of Runway throughout their organization Prototype with customers in real time Grow and expand existing customer accounts using data Work closely with our Research, Engineering, Product, and Marketing teams to share market insights and identify potential growth opportunities What you’ll need 5+ years of overall experience in a growth, GTM, or customer-facing role with experience in a high-growth technology company preferred Natural curiosity for the Runway product and eagerness to use and test the product personally Passion for educating prospects about AI's transformative potential across industries Ability to build trust and engage authentically with diverse stakeholders—from technical experts to creative professionals to business executives Exceptional communication skills and ability to articulate complex ideas clearly and persuasively Ability to thrive in a constantly changing and growing environment While sales experience is preferred, it’s not required - experience in a customer-facing role such as Solutions Architect, Sales Engineer, or Technical Account Manager is also relevant Salary range: $150,000-$200,000Working at Runway Great things come from great teams. We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway Research Our AI Film Festival Runway Studios Our Behaviors and Company Mission Towards a new media ecosystem with world simulators; $300m Series D funding We're excited to be recognized as a best place to work Crain's | InHerSight | BuiltIn NYC | INC  

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We are seeking for a Python-AI Engineer to join our client's dynamic team. The ideal candidate will have experience in startups, preferably American, and a proven track record in the e-commerce sector. Key Responsibilities:- Integrate third-party APIs seamlessly into existing systems.- Collaborate with cross-functional teams to understand integration requirements.- Work with AI tools and technologies to improve system performance and functionality.- Maintain and optimize code for performance and scalability.- Assist in troubleshooting, debugging, and upgrading software systems.- Document and maintain software functionality. Requirements:- Strong proficiency in Python programming.- Proven experience in integrating APIs.- Exposure to AI tools and technologies.- Ability to work collaboratively in a team-oriented environment.- Excellent problem-solving skills and attention to detail.- Strong verbal and written communication skills.- E-commerce experience is a plus About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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About HappyRobotHappyRobot is a platform to build and deploy AI workers that automate communication. See a demo Our AI workers connect to any system or data source to handle phone calls, email, messages…We target the logistics industry which relies heavily on communication to book, check on, & pay for freight. Primarily working with freight brokers, 3PLs, freight forwarders, shippers, warehouses, & other supply chain enterprises and tech startups.We raised a Series A round from a16z and YC and we’re growing very fast.We're looking for rockstars with a relentless drive, unstoppable energy, and a true passion for building something great—ready to embrace the challenge, push limits, and thrive in a fast-paced, high-intensity environment.Role OverviewAs a Deployment Strategist, your mission is to connect the dots between user needs, data insights, and product capabilities to help our customers unlock value. You’ll dive deep into our customer operations, partner directly with end users and decision-makers, and shape how HappyRobot’s technology is applied to their most critical challenges.What You’ll doPartnering with customers to understand their workflows, goals, and pain points—often embedding directly with their teams.Collaborating with Forward Deployment Engineers to scope, prototype, and deliver solutions powered by HappyRobot’s platform.Identifying and interpreting key datasets that drive customer decision-making, and working to integrate them into robust, scalable pipelines.Designing and refining user workflows that solve meaningful problems and scale across teams and functions.Leading training and onboarding sessions, ensuring new users are set up for success and our tools have lasting impact.Presenting findings and strategy to stakeholders at all levels—from frontline operators to executives.Driving customer expansion by scoping new use cases and shaping how we grow our footprint within organizations.What We’re Looking ForWe’re looking for analytical, product-savvy problem solvers who thrive in ambiguity and care deeply about user impact. You might be a great fit if:You have a strong intuition for how software can solve real-world problems.You're a compelling communicator and can influence technical and non-technical audiences alike.You're excited to work shoulder-to-shoulder with customers, from the frontlines to the boardroom.You love diving into messy data, complex systems, and open-ended challenges—and delivering clarity and structure.Why join us?Opportunity to work at a high-growth AI startup, backed by top investors.Fast Growth - Backed by a16z and YC, on track for double-digit ARR.Ownership & Autonomy - Take full ownership of projects and ship fast.Comprehensive Benefits - Healthcare, dental, vision coverage.Top-Tier Compensation - Competitive salary + equity in a high-growth startup.Work With the Best - Join a world-class team of engineers and builders.Our Operating Principles Extreme Ownership We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting — if something needs fixing, we own it and make it better. This means stepping up, even when it’s not “your job.” If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don’t wait for someone else to solve it — we lead with accountability and expect the same from those around us. Craftsmanship Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for “just fine.” We sweat the details because details compound. Whether it’s a product feature, an internal doc, or a sales call — we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build — even when nobody’s watching. We are “majos” Be friendly & have fun with your coworkers. Always be genuine & honest, but kind. “Majo” is our way of saying: be a good human. Be approachable, helpful, and warm. We’re building something ambitious, and it’s easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego. Urgency with Focus Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We’re running a high-speed marathon — not a sprint with no strategy. Talent Density and Meritocracy Hire only people who can raise the average; ‘exceptional performance is the passing grade.’ Ability trumps seniority. We believe the best teams are built on talent density — every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players — that’s how we win. First-Principles Thinking Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don’t copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It’s how we build what others think is impossible.The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller.By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer.In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data.If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through security@happyrobot.ai subject to the GDPR.For more information, visit https://www.happyrobot.ai/privacy-policyBy submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described.

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Applied AI Engineer (In-Person, San Francisco)About UsDelve is building an AI-native platform that transforms compliance from tedious, manual work into effortless, automated workflows.We’re the fastest growing compliance company on the market. Delve helps 100s of companies save 100s of hours (e.g. Lovable, 11x, WisprFlow) by eliminating compliance busywork and helping them focus on what matters — securely supporting their customers.Our team is a tight-knit group of builders—former founders, operators, and engineers—obsessed with solving real problems for real customers. We come from Stanford, MIT, Berkeley, OpenAI, and international olympiads. Backed by Insight Partners, General Catalyst, Y Combinator, and top-tier investors, we just raised our 32M Series A and are scaling quickly!One step at a time, we’re on a mission to eliminate busywork for humanity.Role OverviewAs an Applied AI Engineer, you will play a pivotal role in bringing the latest AI research into production. In this role, your focus will be on turning state-of-the-art techniques into tangible products. You’ll collaborate closely with product engineers to design, implement, and deploy AI-driven features end-to-end. This is a high-impact role where you’ll own projects from idea to production, and your contributions will directly shape our product and technical trajectory.You will collaborate with a world-class team of engineers with research background to build innovative, scalable systems. As part of our fast-paced startup, you’ll have the opportunity to influence technical direction, contribute ideas across the stack, and rapidly grow into taking more leadership as we scale. We value first-principles thinking and a get-things-done attitude – you will have broad autonomy to experiment and iterate in pursuit of the best solutions.What you will doDrive AI Innovation: Research, prototype, and build cutting-edge product, and customer facing AI Systems, pushing the state-of-the-art to solve our core technical challenges. End-to-End Development: Design, implement, and deploy AI pipelines and systems—from evaluation design and benchmarking through product integration—ensuring high performance, reliable production observability, and end-to-end safety and transparency. Collaborate & Iterate: Collaborate with backend engineers and product engineers to turn cutting-edge ideas into production-ready solutions—rapidly iterating on experiment data and user feedback, and applying a rigorous scientific approach to refine models and algorithms. Technical Leadership: Contribute to technical decision-making and architectural discussions for AI components. Uphold high engineering standards and share best practices in code reviews and design discussions. Continuous Learning: Stay up-to-date with the latest research and developments in AI. Evaluate new approaches or tools, and drive their adoption when they can advance our capabilities. What we are looking forStrong AI Fundamentals: Deep understanding of Test Time Compute Techniques, Deep Learning Frameworks, Unsupervised Scaling Methods, and Autonomous Data Collection Methods. Proven Technical Excellence: Demonstrated ability to build and deploy AI solutions. This could be anything ether industry experience or exceptional project/research work (publications, open-source contributions, competition wins, etc.) – we care about quality of experience over quantity. Programming Skills: Preferably extensive Python experience. Problem-Solving & Math: Outstanding problem-solving skills, with a creative and analytical mindset. Strong foundation in mathematics (linear algebra, calculus, probability) and comfort with reading research papers when needed. Communication & Collaboration: Excellent communication skills. You can clearly articulate complex technical concepts to team members and actively listen and incorporate feedback. You work well in a team, value open discussion, and thrive in a fast-moving, meritocratic environment where everyone is encouraged to voice ideas and concerns. Why In-Person SF MattersYou’ll work shoulder-to-shoulder with an exceptional team:Ex-Stanford, MIT, and Berkeley engineers with dozens of papersInternational Olympiad winners and medalistsEx-OpenAI engineers with 10+ years of domain expertise for mentorshipEx-Google Deepmind engineersFormer founders who’ve closed $500k in revenue at 19 and hired 40+ peopleDecisions happen live, not in backlogged async threadsA players work with A players. There’s a buzzing energy in the office. Hit the whiteboard with anyone here and you’ll understand why.Why Join UsImpact & Ownership: As an early employee, you’ll have a massive impact on our product and culture. You will own significant projects from day one and see your work directly affect the company’s success. Learning & Growth: Work alongside some of the brightest minds in AI and software engineering. Our team’s pedigree and our culture of continuous improvement will accelerate your personal and professional growth. We challenge each other to grow every day and support learning in areas you’re passionate about. Meritocratic Culture: We reward results and initiative. Hard work and innovation are recognized – high performers can expect rapid advancement in responsibility and role. You’ll have the chance to shape your role and even define new ones as the company scales. Competitive Compensation: We offer a compelling salary, meaningful equity, and benefits. You’ll share in the upside of the company’s success. Cutting-Edge Work: You’ll be tackling unsolved problems and using the latest techniques in AI. If you love building bold, novel solutions instead of following the status quo, you’ll fit right in. Mission-Driven Team: Join a team that is passionate, driven, and believes in the positive impact of technology. We’re in this to build something that matters. Benefits100% medical, dental & vision coverage (for you; partial for dependents)401k with employer matchUnlimited PTO + federal holidaysGrubHub stipend + all meals covered in-officeGym membership coveredFrequent team dinners, events, and off-sitesThe opportunity to eliminate busywork for humanity

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Who We Are PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning and artificial intelligence. We have a track record of success in deploying AI algorithms for histopathology in translational research, pathology labs and clinical trials.  Rigorous science and careful analysis is critical to the success of everything we do. Our team, composed of diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact on patient outcomes. Where You Fit  We are seeking experienced Machine Learning Engineers to join our team and tackle unique machine learning challenges to advance medicine and improve patient care. The Machine Learning Engineer will work closely with teams across biomedical data science, product development, translational research MLOps and platform engineering to develop and deploy the machine learning models for our AI products and services. What You’ll Do Independently lead the planning and execution of machine learning model development for research and product development projects with ML best practices Contributes towards internal product and translational research experiment design, ideation, analysis, documentation and experimental plans Understands product requirements in their biological and clinical context and proposes changes to model design, product requirements, or analysis plan to ensure market fit Demonstrates mastery of established and state-of-the-art ML methods and upholds ML Team’s best practices for ML research and product development Engaged within team governance of standards via supporting initiatives (e.g. Guild of TLs, ML  Stewards, WiML, Journal Club, Maintaining and creation of documentation) Identify technical gaps, propose and  initiate new projects by articulating rationale and experimental plans that translate technical improvements into business impact Actively participate in and propose improvements to team processes and supporting initiatives, including but not limited to: project processes, technical design reviews, knowledge sharing, hiring and onboarding. Actively support scientific strategy with  abstract submissions to conferences, manuscript preparation, and creation of marketing and other materials for external audiences You will have the opportunity to work in a company where all employees put patients first. We believe that every team member provides valuable contributions to our success, and no task is too small for anyone if it's important to our company goals.   Every PathAI employee is a contributor to our mission to pioneer better patient care by providing the best, most innovative AI tools to biotech, pathologists, clinicians and healthcare organizations. You will work alongside and with leading innovators in the field of AI and medicine and you will play a critical role in product development to impact patient outcomes. What You Bring To be successful in this role with us, you'll at least need: Master’s degree plus 3-4 years of professional experience or Ph. D. in Computer Science, Computational Biology or related field, preferably with a focus on artificial intelligence and machine learning 3-4 years of experience in developing and deploying state-of-the art machine learning models in products Excellent proficiency in Deep Learning frameworks (Pytorch/Tensorflow), Python (including Scipy, Numpy, Pandas) and software engineering skills. Strong analytical and quantitative skills Strong track record with the overall machine learning and computer vision model development process including data pipelines, model training, evaluation and deployment. Publications or research in fields related to artificial intelligence and biomedical science is strongly preferred Strong communication skills. Intellectual curiosity and the ability to learn quickly in a complex space We Want To Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.  PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.

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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 and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the team The Enterprise Agents Engineering Team at xAI is a team of builders solving the hardest problems in applied AI: integrating with messy systems, orchestrating complex workflows, and harnessing AI to transform business operations. We build full-stack solutions with ownership of end-to-end product execution from ideation to deployment, collaborating closely with our research team to incorporate cutting-edge AI advancements into robust and reliable user-centric solutions. Through an iterative development process, we work hand-in-hand with customers to gather feedback, refine features, and evolve products to address real-world challenges. About the role An ideal candidate meets at least the following requirements: Expert knowledge of either Rust or C++, Experience in designing, implementing, and maintaining reliable and horizontally scalable distributed systems, Knowledge of service observability and reliability best practices, Experience in operating commonly used databases such as PostgreSQL, Clickhouse, and CockroachDB Additionally, any of the below points will help a candidate stand out: Expert knowledge of Python, Experience with Docker, Kubernetes, and containerised applications, Expert knowledge of TypeScript, Expert knowledge of gRPC (unary, response streaming, bi-directional streaming, REST mapping), Hands-on experience with LLM APIs, embeddings, or RAG patterns Track record of delivering user-facing software at scale. Interview process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic technical questions. If you clear the initial phone interview, you will enter the main process, which consists of at least two technical interviews: Coding interview in Rust or C++. Distributed systems design interview. Benefits Competitive cash-based compensation xAI equity Private health and dental insurance Unlimited time off subject to prior approval Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice