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About the RoleA1 is building a proactive AI system that carries work forward across conversations, tools, and time.As a Backend Engineer, AI, you own the inference and orchestration layer that powers every AI interaction in the product. Your work sits between models and users, where latency, correctness, reliability, and cost directly impact real-world experience.You will build and operate production systems that turn model capability into fast, stable, observable APIs used across mobile and desktop clients.FocusBuild and operate backend systems that serve AI-powered features in production.Design inference pipelines, orchestration layers, and service boundaries around models.Own production concerns: monitoring, logging, alerting, and incident response.Optimize latency and throughput across inference, caching, batching, and streaming.Ideal ExperiencesStrong backend engineering fundamentals in production environments.Experience running high-throughput, low-latency services.Familiarity with AI inference patterns (LLMs, embeddings, multimodal).Comfortable debugging distributed systems under load.Bias toward shipping and learning from production behavior.OutcomesBackend systems run reliably at scale, handling production AI traffic with low latency and high throughput.APIs are stable, clear, and support seamless integration with frontend and ML systems.Production incidents are quickly detected, diagnosed, and resolved, minimizing user impact.Iterative improvements based on real usage continuously increase system performance and reliability.Tech StackPythonNodeJsPytorchOpenAI / Anthropic / open-source LLMsSQl & noSQLKubernetesDockerHow We WorkThe best products today in the world were built by small, world class teams. We are a high talent density and hands-on team. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical productInterview processIf there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews.Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite.We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.

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About the RoleA1 is building a proactive AI system that carries work forward across conversations, tools, and time.As a Backend Engineer, AI, you own the inference and orchestration layer that powers every AI interaction in the product. Your work sits between models and users, where latency, correctness, reliability, and cost directly impact real-world experience.You will build and operate production systems that turn model capability into fast, stable, observable APIs used across mobile and desktop clients.FocusBuild and operate backend systems that serve AI-powered features in production.Design inference pipelines, orchestration layers, and service boundaries around models.Own production concerns: monitoring, logging, alerting, and incident response.Optimize latency and throughput across inference, caching, batching, and streaming.Ideal ExperiencesStrong backend engineering fundamentals in production environments.Experience running high-throughput, low-latency services.Familiarity with AI inference patterns (LLMs, embeddings, multimodal).Comfortable debugging distributed systems under load.Bias toward shipping and learning from production behavior.OutcomesBackend systems run reliably at scale, handling production AI traffic with low latency and high throughput.APIs are stable, clear, and support seamless integration with frontend and ML systems.Production incidents are quickly detected, diagnosed, and resolved, minimizing user impact.Iterative improvements based on real usage continuously increase system performance and reliability.Tech StackPythonNodeJsPytorchOpenAI / Anthropic / open-source LLMsSQl & noSQLKubernetesDockerHow We WorkThe best products today in the world were built by small, world class teams. We are a high talent density and hands-on team. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical productInterview processIf there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews.Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite.We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.

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ABOUT BASETENBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products.THE ROLEYou'll join a small team at Baseten revamping our model library with a focus on helping developers discover, evaluate, and select the right models for their specific use cases. This is a founding role on a new initiative — you'll help shape the ecosystem from both sides, onboarding new models, and educating developers to adopt them effectively.This isn't a traditional DevRel or content role. You'll operate at the intersection of technical depth, community building, and product thinking — creating the guides, evaluations, and educational content that help developers move past the assumption that bigger, more expensive models are always better. The model landscape is becoming increasingly specialized, and you'll help developers navigate it.This role sits outside existing marketing, content, and product marketing teams, reporting into product.EXAMPLE INITIATIVESModel LibraryModel APIsRESPONSIBILITIESOwn the developer-facing narrative for the model library: guides, tutorials, demos, and reference content that help developers choose the right model for the job.Build and nurture both sides of the model ecosystemDevelop evaluation frameworks and use-case-specific criteria that go beyond benchmark scores to reflect real-world developer needs.Create community programs, events, and education initiatives that establish Baseten as the destination for model discovery and selection.Collaborate cross-functionally with product, engineering, and marketing to translate developer feedback into product improvements.Represent Baseten externally at conferences, meetups, and community events.REQUIREMENTSHands-on experience as a developer — you can write code, read a diff, and engage credibly with engineers about technical tradeoffs.Proven track record in developer relations, developer education, or technical content at a developer tools or infrastructure company.Strong written and verbal communication skills; you can explain complex technical concepts clearly to a range of audiences.Experience building or contributing to developer communities, ecosystems, or open source projects.Genuine curiosity about the AI/ML model landscape — you follow model releases, understand capability tradeoffs, and care about practical applications over hype.Comfort with ambiguity and a bias toward ownership; this is a new initiative and you'll help define what success looks like.NICE TO HAVEExperience with AI/ML infrastructure, inference platforms, or LLM tooling.Familiarity with cost-optimization thinking in AI — evaluating when to use smaller, specialized, or fine-tuned models vs. frontier models.Background supporting open source developer tooling or AI coding agents.Experience running internal AI education programs for engineering organizations.Prior work at a low-code, API-first, or model/data platform company.BENEFITSCompetitive compensation, including meaningful equity.100% coverage of medical, dental, and vision insurance for employee and dependentsGenerous PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)Paid parental leaveCompany-facilitated 401(k)Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

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About Mistral   At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.   We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.   We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.   Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.   About The Job   Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.   The Applied AI Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations.    In this role, you’ll manage daily customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and function as a key resource in externalising our research in production settings.   What you will do   • You’ll be responsible for onboarding customers on our products and APIs, providing guidance on prompting, evaluation, and fine-tuning, and ensuring the best production integration with back-end and front-end interfaces.  • You’ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.  • You’ll individually help deploy into production use cases with a considerable business impact across various industries.  • You’ll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open source codebases for tasks such as inference and fine-tuning. • You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders.  • Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback     About you   • You are fluent in English • You hold a PhD / master in AI / data science. • You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products • You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases • You have deep understanding of concepts and algorithms underlying machine learning and LLMs • You're experienced with building and deploying LLMs or NLP applications • You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces. • You have strong technical coding skills in Python • You have experience with deep learning with Pytorch • You have experience with agents framework such as Langchain, vector DBs • You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences   Ideally you have:   • Contributed to open-source projects in particular in the space of LLMs • Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager   Benefits   💰 Competitive salary  🚀 Generous Equity 🧑‍⚕️ Health : Sun Life 👴🏻 Pension : Match up to 6% of your contributions 🏝️ PTO : 25 days  🚗 Transportation: Allowance public transportation or Parking charges reimbursed  🤝 Coaching: we offer Betterup coaching on a voluntary basis 🏀 Sport: 145 CAD/month reimbursement for gym membership 🥕 Meal stipend: 480 CAD monthly allowance for meals (solution might evolve as we grow bigger)    About The Team   At Mistral AI, we are a tight-knit, nimble team dedicated to bringing our cutting-edge AI technology to the world. Our mission is to make AI ubiquitous and open.   Our team values are reflected in our product values:   - Cool: We have a tongue-in-cheek way of looking at things, it’s hard to describe but you know it when you see it - Precision: Our designs mirror the rigor and excellence that underpin our technology, reflecting our commitment to quality and reliability - Human-Centric: We strive to make our technology open, approachable, and accessible - Captivating: Our designs reflect the magic of our technology and our playful, exploratory approach to innovation - Ambitious: We push the boundaries of what is possible, reflecting our bold vision for the future

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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 reducing bureaucratic backlogs - we know that AI offers opportunities to drive improvements at every level of Government and we are proud to lead on some of the most impactful work happening in the sector. Because of the nature of the work we do with our Government clients, you may need to be eligible for UK Security Clearance (SC) and willing to work on site with these clients from time to time. About the roleJoin us as a Machine Learning Engineer to deliver bespoke, impactful AI solutions for our diverse clients.You will be instrumental in bringing machine learning out of the lab and into the real world, contributing to scalable software architecture and defining best practices. Working with clients, and cross-functional teams, you'll ensure technical feasibility and timely delivery of high-quality, production-grade ML systems. What you'll be doing:Building and deploying production-grade ML software, tools, and infrastructure.Creating reusable, scalable solutions that accelerate the delivery of ML systems.Collaborating with engineers, data scientists, and commercial leads to solve critical client challenges.Leading technical scoping and architectural decisions to ensure project feasibility and impact.Defining and implementing Faculty’s standards for deploying machine learning at scale.Acting as a technical advisor to customers and partners, translating complex ML concepts for stakeholders.Who we're looking for:You understand the full machine learning lifecycle and have experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch.You possess strong Python skills and solid experience in software engineering best practices.You bring hands-on experience with cloud platforms and infrastructure (e.g., AWS, Azure, GCP), including architecture and security.You've worked with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scaleYou are comfortable with core ML concepts, including probability, statistics, and common learning techniques.You're an excellent communicator, able to guide technical teams and confidently advise non-technical stakeholders.You thrive in a fast-paced environment, and enjoy the autonomy to own scope, solve and delivery solutionsOur Interview ProcessTalent Team Screen (30 minutes)Pair Programming Interview (90 minutes) System Design Interview (90 minutes) Commercial Interview (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 WorkingIf you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

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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 reducing bureaucratic backlogs - we know that AI offers opportunities to drive improvements at every level of Government and we are proud to lead on some of the most impactful work happening in the sector. Because of the nature of the work we do with our Government clients, you may need to be eligible for UK Security Clearance (SC) and willing to work on site with these clients from time to time.About the roleAs a Full Stack Software Engineer, you will collaborate with cross-functional teams to build and scale AI-powered systems that solve unique challenges for global clients.This is an opportunity to take ownership of the entire stack, turning sophisticated machine learning outputs into high-impact, production-ready solutions that drive real-world transformation.What you'll be doing:Working in cross-functional teams, alongside Data Scientists and Product Managers, to deploy technically sophisticated, high-impact software.Building reliable, and scalable frontend and backend architectures to enable the seamless delivery of advanced AI systems.Building data pipelines and cloud infrastructure as part of wider AI systems.Providing deep technical expertise to customers, helping them navigate complex requirements.Who we're looking for:You possess solid backend development skills in Python frameworks (such as FastAPI) and are comfortable managing the full application lifecycle.You have full-stack experience and exposure to TypeScript and modern frontend frameworks like React or VueYou have experience deploying software within cloud environments like AWS, Azure, or GCP, ideally using containerisation tools like Docker.You demonstrate a scientific and pragmatic mindset, testing assumptions and balancing big-picture vision with the technical details required for execution.You know how to maintain a balance between rapid prototyping and long-term maintainability.You thrive in autonomous, fast-paced environments where you can take full ownership of problems.You are a compelling communicator who enjoys working in a team-oriented culture and has a relentless drive to learn and apply novel technologies.Our Interview ProcessTalent Team Screen (30 minutes)Pair Programming Interview (90 minutes)System Design Interview (90 minutes)Commercial Interview (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 WorkingIf you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

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Role Overview Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMs Upskilling and advisory services to spread the impact of AI As a Production AI Ops Lead, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies. Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment. Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability. Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks. Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again. Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials. Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases. Ideally, you have: Experience: 6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector. Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI. System architecture proficiency: Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core. Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools. Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them. Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy. Customer communication: The ability to explain to a high-ranking official why the performance of the system has degraded and how we are fixing it. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Role Overview Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMs Upskilling and advisory services to spread the impact of AI As a Production AI Ops Lead, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies. Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment. Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability. Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks. Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again. Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials. Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases. Ideally, you have: Experience: 6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector. Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI. System architecture proficiency: Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core. Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools. Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them. Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy. Customer communication: The ability to explain to a high-ranking official why the performance of the system has degraded and how we are fixing it. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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About UsHarmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces.Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected.ResponsabilitiesDesign and implementation of deep learning models for computer vision tasks.Research and experimentation with CNNs and Vision Transformers.Model compression techniques such as knowledge distillation.Quantisation-aware training (QAT) and post-training quantisation (PTQ).Network and dataset pruning strategies.Design of efficient architectures for edge and embedded systems.Dataset curation, balancing, and bias mitigation.Experimental design, ablation studies, and reproducibility practices.Robust evaluation using appropriate metrics (e.g., mAP, IoU, calibration).Failure case analysis and robustness testing under distribution shifts.You will be encouraged to read, analyse, and implement ideas from leading conferences such as CVPR, ICCV, ICLR, and NeurIPS.Requirements Technical Background: Solid foundation in Deep Learning (preferably PyTorch).Experience with CNNs and/or Transformers (academic or project-based).Understanding of bias–variance trade-offs and generalisation.Familiarity with optimisation fundamentals and basic probability.Experience or strong interest in model compression techniques.Interest in hardware-aware and efficient model design.Also nice to haveExperience with ONNX, TensorRT, TFLite or LiteRT.Familiarity with experiment tracking tools (e.g., W&B, MLflow).Experience conducting ablation studies.Exposure to dataset curation or annotation processes.Prior participation in research projects or conference work.What You Will GainHands-on research experience in applied computer vision.Exposure to model optimisation and edge deployment challenges.Experience reading, implementing, and evaluating cutting-edge research.Mentorship from experienced researchers and engineers.Opportunity to contribute to publications or conference submissions.This internship will be based either in Paris (France) OR in Lausanne (Switzerland). We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

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About UsHarmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces.Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected.About the RoleTo train highly robust perception systems, we need aerial imagery spanning a massive variety of conditions. You will engineer an advanced Generative AI pipeline capable of completely transforming the context of existing datasets; shifting time-of-day (day to night), changing seasons (summer to winter), or altering entire biomes and weather systems; while perfectly preserving small, critical target objects like drones.Refine the Generative Architecture: Take ownership of a sophisticated multi-pass diffusion pipeline (structural background replacement + lighting/atmospheric glazing) to seamlessly adapt scene contexts while maximizing physical realism.Solve Edge Cases: Improve custom masking and high-res depth-patching algorithms (e.g., histogram matching, seamless blending) to anchor small objects in 3D space, eliminating generative artifacts and "sticker" effects.Scale & Validate: Generate large-scale augmented datasets and rigorously quantify their impact on downstream model performance. Design experiments to measure how the inclusion and varying ratios of this synthetic data directly improve the accuracy, recall, and robustness of object detectors (e.g., YOLO) when tested against real-world edge cases.RequirementsEducation: Currently pursuing or recently completed a Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field with a focus on Machine Learning.Deep Learning: Strong understanding of CNN architectures, object detection frameworks, and modern loss functions, as well as the tracking world and its problematics.Software Engineering: Proficiency in Python (PyTorch/TensorFlow) and comfortable working in C++.Linux/Embedded: Experience working in a Linux environment; familiarity with Git is a plus.Problem Solving: A rigorous approach to debugging and an "engineering first" mindset, valuing performance over theoretical complexity.Language: Fluency in English; French is a plus.BonusExperience with NVIDIA Jetson platforms and hardware-accelerated inference.FPV pilot experience or hobbyist interest in UAVs.Previous experience with synthetic data generation (e.g., NVIDIA Isaac Sim, Gazebo).We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

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About the TeamThe Foundations team focuses on how model behavior changes as we scale models, data, and compute. The team studies the interactions between model architecture, optimization, and training data, and uses those insights to guide how new models are designed and trained.About the RoleIn this role, you will build the systems that enable advanced AI models to run efficiently at scale. You will operate at the intersection of model research and systems engineering, translating new architectural ideas into high-performance inference systems that surface real tradeoffs in performance, memory, and scalability.Your work will directly influence how models are designed, evaluated, and iterated on across the research organization. By developing and evolving high-performance inference infrastructure, you will enable researchers to explore new ideas with a clear understanding of their computational and systems implications.This is not a product-serving role. Instead, it is a research-enabling systems role focused on performance, correctness, and realism - ensuring that AI research is grounded in what can actually scale.In this role, you will:Design and build high-performance inference runtimes for large-scale AI models, with a focus on efficiency, reliability, and scalability.Own and optimize core execution paths, including model execution, memory management, batching, and scheduling.Develop and improve distributed inference across multiple GPUs, including parallelism strategies, communication patterns, and runtime coordination.Implement and optimize inference-critical operators and kernels informed by real-world workloads.Partner closely with research teams to ensure new model architectures are supported accurately and efficiently in inference systems.Diagnose and resolve performance bottlenecks through profiling, benchmarking, and low-level debugging.Contribute to observability, correctness, and reliability of large-scale AI systems.You might thrive in this role if you:Have experience building production inference systems, not just training or running models.Are comfortable with GPU-centric performance engineering, including memory behavior and latency/throughput tradeoffs.Have worked on multi-GPU or distributed systems involving batching, scheduling, or runtime coordination.Can reason end-to-end about inference pipelines, from request handling through execution and output streaming.Are able to understand research ideas and implement them within real system and performance constraints.Enjoy solving hard, ambiguous systems problems that only emerge at scale.Prefer hands-on technical ownership and execution over abstract design work.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 NomicNomic builds AI agents and developer tools for document intelligence. We help physical ai enterprise teams, primarily in architecture, engineering, and construction, extract structured knowledge from decades of drawings, specs, and project files. Our platform combines embedding models, document parsing, and autonomous agents that reason over real-world data and take action in live environments.The RoleNomic trains and deploys its own models, pioneered on-device LLM inference with GPT4All in 2023, and is aggressively building agentic systems—both for customers and into our own processes. The infrastructure already reflects that: multi-account AWS, Kubernetes, infrastructure-as-code, CI/CD, observability, and per-customer deployments. We're hiring a Platform Engineer to own that stack and push it forward—particularly the hard problem of running autonomous agents safely in deployed customer environments: sandboxed execution, secure isolation, automated health checks, and the reliability guarantees enterprises expect.This is a senior IC role with broad ownership and real architectural influence.Team: Platform & Infrastructure Reports to: CTOWhat You'll Work OnAgent infrastructure is the highest priority. Our agents execute in customer cloud environments. You'll own the sandboxing, isolation, monitoring, and safe operation of those workloads at scale. This includes execution environments, security boundaries, automated QA, eval harnesses, and feedback loops that make agents more reliable over time.Core infrastructure Kubernetes, multi-account AWS, CI/CD, deployment strategies, observability (traces, metrics, logs, alerting, SLOs), disaster recovery, and cost management.Security posture access controls, secrets management, network security, image scanning, dependency auditing, and compliance work (SOC2, enterprise security) as customer requirements demand it.Infrastructure as code defining, provisioning, and evolving all infrastructure through code.What We're Looking ForYou have:5+ years in infrastructure, DevOps, or SRE roles running cloud infrastructure in productionStrong Kubernetes experience deploying workloads, debugging issues, working with operators and controllersSolid infrastructure-as-code skills designing modules, managing state, thinking about blast radiusStrong software engineering fundamentals you write and review production code in Python and/or TypeScript, not just infra configsLinux systems and networking fundamentalsCI/CD pipeline design and maintenanceA proactive orientation and comfort owning a wide surface areaEven better if you have:Terraform experienceExperience with observability platforms (Datadog, OpenTelemetry) dashboards, trace/metric/log pipelinesPostgreSQL operations performance tuning, replica managementExperience with ML/AI infrastructure inference services, GPU workloads, model serving, eval pipelinesBackground in multi-tenant deployment patterns or per-customer isolationExperience building sandboxed execution environments or automated reliability systems

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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?In this role as a Solutions Architect at Cohere, you will play a significant role in growing Cohere’s Defence and National Security business. In this dynamic role, you will need to be both a strategic thinker and a hands-on doer. You will take a hands-on approach to building customer demos and proof of concepts that showcase the business value of our platform. As the technical relationship owner, you will collaborate with stakeholders to understand their business objectives and translate those into technical solutions. You will take ownership of the customer narrative, serving as the voice of the customer and acting as a liaison between the customer and our product team. Additionally, you will provide guidance on best practices for using Cohere, identify areas for improvement within the platform, and cultivate technical champions within customer organizations to drive adoption and gather feedback to enhance our products.In this role, you will:Develop and deliver cutting-edge agentic AI solutions utilizing Cohere’s foundation models and Agentic AI Foundry - North.Architect scalable, secure, and customizable NLP and generative AI solutions tailored to enterprise customer needs.Collaborate with customers to understand complex workflows, design pilots, and translate business requirements into technical solutions encompassing model fine-tuning, custom agents, and agent orchestration.Support deployment and integration of large language models (LLMs) and custom solutions into production environments using Kubernetes, Docker, and cloud infrastructures, ensuring high performance and security.Lead technical engagements, including deep dives into AI architectures, workshop facilitation, and establishing best practices for agent-based AI systems and model customization.Work with product development to provide customer feedback on agentic AI capabilities, contribute to product enhancements, and help shape future features.This career opportunity may be a good match for you if you possess: 5+ years of experience in AI/ML solution architecture, with demonstrated expertise in agentic AI, model customization, and deploying tailored AI models in enterprise contexts.Strong hands-on skills with Python, Jupyter Notebooks, and cloud-native deployment frameworks such as Kubernetes, Docker, Cloud managed AI services like AWS Sagemaker, Bedrock, or Azure AI Foundry or Google Vertex AI.Experience in designing and deploying “agentified” AI workflows, that involve multiple interconnected models or agents, to solve business challenges.Hands-on experience building on agent orchestration frameworks like Cohere North and deploying custom agents to production.Familiarity with model fine-tuning methodologies, and the development of AI agents optimized for specific workflows and enterprise needs.In-depth understanding of the strengths, weaknesses, and operational considerations of generative LLMs, with experience in customizing and orchestrating these models.Excellent communication skills to articulate complex AI architectures to both technical stakeholders and executive audiences.Nice to have: Background in building and managing scalable AI/ML ecosystems, with knowledge of multi-cloud deployment strategies.Nice to have: Familiarity with security standards for deploying agent-based AI solutions, including data privacy, model safety, and access controls.Nice to have: Experience working in a startup-like context.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! 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 up to 6 months🎨 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, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

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About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The RoleAbridge is hiring a Senior Research Data Scientist to join our Strategic Research team. This role sits at the intersection of rigorous research, complex empirical data work, and deep cross-functional engagement with our commercial and builder organizations. You will be the team's resident expert on the data assets, structures, and pipelines that underpin our research — operating flexibly across the boundaries of data engineering, data analysis, and applied science to ensure the team can move quickly and confidently from raw data to credible insight.You will partner with research scientists to explore complex, messy real-world healthcare data: building and maintaining the data infrastructure the team depends on, developing and stress-testing metrics, conducting causal and descriptive analyses, and interrogating the assumptions embedded in our evaluation frameworks. You will work at startup pace with research rigor, with a mandate to go beyond off-the-shelf metrics and analyses to ensure that our evaluations capture what truly matters to clinicians and patients — not just what is easiest to measure.Equally important, you will translate complex analyses into clear, compelling narratives grounded in data, so that research insights inform product decisions, guide strategy, and help establish rigorous evidence for the real-world impact of ambient AI in healthcare.About Strategic Research. The Strategic Research team at Abridge has two primary functions: (i) designing and conducting rigorous research studies investigating the impact of ambient AI as an intervention in partnership with collaborating health systems; and (ii) conducting health care research that leverages Abridge data, and supporting external research efforts to do the same. In addition to driving and supporting empirical studies of the impact of ambient AI-enabled technologies, the team works closely with our Science and Engineering teams on core model evaluation. The common thread to all our work is ensuring that every partner-facing research initiative meets the highest standards of rigour, credibility, and strategic value.What You'll DoEvaluation, Measurement, and Empirical AnalysisConduct quantitative evaluations of Abridge models and products using data from real-world deployments, offline evaluations, and customer feedbackDevelop and validate metrics that reflect meaningful outcomes for providers and patients — including assessing construct validity, characterizing measurement error, and surfacing selection bias in observational signals like user ratings and feedbackDesign and execute analyses that address the team's core research questions: validating automated evaluation frameworks against human judgment, characterizing heterogeneity in adoption and usage trajectories, estimating causal effects of ambient AI on clinical and operational outcomes, and extracting structured characterizations of clinical practice from unstructured conversation dataBuild deep familiarity with existing metrics and evaluation frameworks used at Abridge and beyond, interrogating underlying assumptions and proposing alternatives where appropriateData Infrastructure and ExpertiseDevelop and maintain deep expertise in Abridge's data assets — including production data, user feedback signals, and clinical conversation data — and serve as the team's authority on data provenance, structure, and limitations for research studiesBuild, extend, and maintain the data pipelines that support internal and external research efforts, working across raw data sources to produce clean, well-documented, research-ready datasetsCollaborate with Data Engineering and platform teams to ensure that the data the research team needs is accessible, reliable, and well-understoodCross-Functional Research Collaboration and CommunicationCollaborate closely with product, engineering, science, and data teams to ensure evaluation and analysis are credible, decision-relevant, and grounded in a deep understanding of product development and integrationPartner with commercial teams, and liaise with customers through relationships owned by our Partner Experience organization, to ensure measurement and evaluation reflect how products are used and experienced in real-world practiceTranslate complex analyses into clear, nuanced narratives grounded in data, tailoring communication to different audiences and contextsProduce technical analyses, reports, and presentations that inform product decisions, guide strategy, and contribute to a rigorous evidence base for the real-world impact of ambient AI in healthcareWhat You'll Bring8+ years using SQL and Python or R for data science, including experience building or working closely with data pipelines and data infrastructure3+ years of data science experience in academic or industry research settings where you contributed to research studies relying on complex data processing and analysisComfort operating across the spectrum from data engineering to applied science — you can develop data pipelines and also conduct a rigorous evaluation study in collaboration with research scientistsExperience with code-based data visualization tools (e.g., Seaborn, ggplot2)Demonstrated ability to conduct empirical evaluations using observational or experimental data, grounded in a rigorous quantitative or mixed-methods approachA problem-before-method mindset: you do not change the question to make it amenable to simple analysis, but instead push the methodological frontier to solve the real-world problems that matter to health systems, clinicians, and patientsExcellent communicator capable of effectively delivering quantitative findings to non-technical stakeholders in a clear and compelling fashionA team player, comfortable assisting others across the organization in solving data problems and answering questions with dataMust be willing to work from our NYC office at least 3x per weekThis position requires a commitment to a hybrid work model, with the expectation of coming into the office a minimum of (3) three times per week. Relocation assistance is available for candidates willing to move to New York City.Why Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. How we take care of Abridgers:Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employeesComprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families.Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA.Paid Parental Leave: Generous paid parental leave for all full-time employees.Family Forming Benefits: Resources and financial support to help you build your family.401(k) Matching: Contribution matching to help invest in your future.Personal Device Allowance: Tax free funds for personal device usage.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more.Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals.Sabbatical Leave: Paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Equal Opportunity EmployerAbridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 

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What We Do Gecko Robotics is helping the world’s most important organizations ensure the availability, reliability, and sustainability of critical infrastructure. Gecko's complete and connected solutions combine wall-climbing robots, industry-leading sensors, and an AI-powered data platform to provide customers with a unique window into the current and future health of their physical assets. This enables real-time decision making to increase the efficiency and safety of operations, promote mission readiness, and protect the environment and civilization from the effects of infrastructure failure.Role at a GlanceGecko Robotics is building production-grade robotic manipulation systems that embed intelligent inspection directly into active manufacturing environments. In this role, you will architect and develop ROS2-based control, perception, and motion planning systems for 6-axis articulated manipulators operating in real-world industrial settings. These robotic systems integrate a wide range of Non-Destructive Testing (NDT) methods and sensing and optimize inspection throughput, improve product quality, and enable better downstream manufacturing decisions.What you will doArchitect and evolve Gecko’s ROS2-based control framework and planning systems for articulated manipulatorsDevelop perception-driven motion planning using visual and other sensor inputsDesign closed-loop inspect → analyze → rework workflowsOptimize robotic inspection throughput within active manufacturing linesOwn system-level integration between robot control stack, industrial hardware and Gecko’s inspection softwareSupport system deployment and validation in production environmentsTechnologies We UseOur robotic systems are currently built on a ROS2 framework and integrate motion planning from MoveIt for brand agnostic control of 6-axis articulated manipulators.Core stack: ROS2, Python, C++Planning & simulation: MoveIt, RoboDK, Roboguide, RobotStudioHardware platforms: Fanuc CRX, ABB industrial manipulatorsBoth off the shelf sensors and custom design sensing payloads for NDTAbout YouRequired Skills5+ years experience developing production robotics software in C++ and/or PythonStrong experience with ROS2-based robotic systemsExperience with motion planning frameworks (MoveIt2)Experience integrating perception systems (vision, 3D sensors) into robotic workflowsAbility to work across software and hardware boundaries in industrial environmentsPreferred SkillsExperience programming industrial 6-axis articulated robots (FANUC, ABB, KUKA, Yaskawa)Familiarity with PLCs and industrial communication protocolsWho We AreAt Gecko, our people are our greatest investment. In addition to competitive compensation packages, we offer company equity, 401(k) matching, gender-neutral parental leave, full medical, dental, and vision insurance, mental health and wellness support, ongoing professional development, family planning assistance, and flexible paid time off. Gecko values collaboration, innovation, and partnership, and we believe we do our best work when we're together in person. We’re an office-first culture but understand that sometimes you may need to work from home. Many people are in the office five days a week, others need a bit more flexibility. Ultimately, we care about the outcomes we achieve - and creating a culture of autonomy and trust that enables that impact.Gecko is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer.  We believe it is our collective responsibility to uphold these values and encourage candidates from all backgrounds to join us in our mission to protect today’s infrastructure and give form to tomorrow’s. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, veteran status, age, or any other protected characteristic per federal, state, or local law. If you are passionate about what you do and want to use your talents to support our critical mission, we’d love to hear from you.

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🚀 About WRITERWRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.📐 About the roleAt WRITER, we're not just building the future of enterprise AI; we're actively orchestrating it. The solutions architect manager plays a pivotal role in this journey, leading a team of exceptional solutions architects who empower our enterprise customers to unlock the full potential of our cutting-edge generative AI platform. You’ll be at the forefront of driving AI transformation, moving beyond theoretical discussions to hands-on deployment and measurable impact. This is your chance to lead, mentor, and inspire a team dedicated to solving complex business challenges with innovative AI solutions, directly influencing customer success and WRITER's rapid growth.This is a full-time, hybrid role based out of our London hub. You will report directly to the VP of solutions architecture.🦸🏻‍♀️ What you'll doLead and empower a team of highly skilled solutions architects, fostering their technical growth and career development across complex enterprise AI engagementsDrive the successful adoption and deployment of WRITER's generative AI platform by overseeing key pre-sales technical engagements, including use case discovery, proof-of-concept execution, and value realization for strategic customersPartner closely with sales leadership and go-to-market teams to develop strategic account plans, define compelling technical value propositions, and accelerate pipeline growth for WRITER's solutionsAct as an executive technical sponsor for WRITER’s most strategic accounts, building strong relationships with C-level stakeholders and becoming their trusted advisor in AI strategy and implementationInfluence WRITER's product roadmap by gathering critical market insights and customer feedback, ensuring our platform continuously addresses evolving enterprise AI needsArchitect robust, scalable, and secure AI solutions for diverse enterprise environments, integrating WRITER's platform with complex customer data ecosystems and existing technical stacksTransform how we facilitate customer evaluations and proofs of concept, implementing best practices and scalable processes that demonstrate clear ROI and accelerate time-to-value for our clients⭐️ What you needA minimum of 8 years of experience in a customer-facing technical role, with at least 4 years in a management capacity leading a pre-sales or solutions architecture team focused on enterprise software, cloud, or AI solutionsProven expertise in leading and scaling a solutions architecture or sales engineering organization within a high-growth, fast-paced technology company, ideally blending startup agility with enterprise best practicesDeep technical proficiency in generative AI, large language models (LLMs), machine learning, and cloud-native architectures (AWS, Azure, GCP), coupled with hands-on experience in Python or similar scripting languagesDemonstrated ability to manage complex implementations of AI/ML solutions, understanding data pipelines, model deployment, security, and compliance in diverse, large-scale enterprise environmentsExceptional communication, presentation, and interpersonal skills, capable of translating intricate technical concepts into clear business value for executive and technical audiences, while also mentoring your team to do the sameA strategic mindset, constantly looking for opportunities to innovate, optimize processes, and drive measurable impact across customer engagements and internal team operationsA passionate commitment to our values at WRITER: Connect, by building strong relationships with customers and colleagues; Challenge, by pushing boundaries and fostering continuous improvement; and Own, by taking responsibility for results and driving them to completion🍩 Benefits & perks (UK full-time employees):Generous PTO, plus company holidaysComprehensive medical and dental insurancePaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriCompetitive pension scheme and company contributionAnnual work-life stipends for:Wellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation and company stock options

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Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.Senior Systems Performance EngineerSan Francisco, Sunnyvale (Onsite)Role MissionAt Crusoe, we are pioneering the future of sustainable computing. We are seeking a Senior Performance Engineer to serve as a technical lead for the end-to-end hardware evaluation, reliability, and scaling of our AI infrastructure. You will be responsible for defining the performance roadmap of our next-generation cloud, ensuring that our SOTA (State-of-the-Art) AI models run with peak efficiency across diverse hardware architectures.What You’ll Be Working On:Architectural Strategy: Lead the evaluation and establishment of New Product Introduction (NPI) across varied hardware architectures, focusing on Bare Metal and VM environments.Full-Stack Optimization: Conduct deep-dive performance evaluations and workload characterizations across compute, memory, storage, and networking.Performance Modeling: Develop sophisticated multi-variable projection models and frameworks to analyze system design options through KPI tradeoffs, such as Power and TCO (Total Cost of Ownership).Hardware-Software Co-Design: Collaborate with external vendors to drive platform customization and optimize server/AI architectures for maximum performance-per-TCO.Infrastructure Scaling: Design and implement 0-to-1 performance methodologies that allow the team to scale evaluation processes for large-scale GPU/AI data centers.Industry Leadership: Actively engage in industry research and contribute technical insights to consortiums and standards committees to influence future hardware roadmaps.What You’ll Bring to the Team:5+ Years experience in end-to-end hardware evaluation, reliability, and scaling of our AI infrastructureLarge-Scale Systems: Proven experience in building and optimizing AI application systems for large-scale GPU infrastructure.Architecture & Microarchitecture: Deep knowledge of x86 and ARM architectures, including competitive analysis of microarchitecture and performance-based validation.Programming & Tooling: Expert-level proficiency in Python and C++. Experience with cycle-accurate simulators and hardware debuggers like Lauterbach Trace32 or ARM DS-5 is essential.Low-Level Systems: Ability to write and debug ARMv8 assembly, implement data synchronization protocols (MESI/MOESI), and analyze RTL via simulation waveforms.Security & HPC: Experience with performance modeling for secure environments (e.g., Intel SGX, TDX, VM Encryption) and high-performance computing benchmarks.Compensation:Compensation will be paid in the range of $172,500 - $210,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, 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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Maincode is mission-focused. That means we care about shipping Matilda, and we care about the people we do it with. Everything else is secondary.Matilda is Australia's first publicly available conversational AI platform wholly built and run in Australia. It's a serious technical undertaking and we're building it with a small team that moves fast and takes the work seriously.We're looking for smart, humble people who want to help build something that matters and aren't precious about how they contribute. You might end up deep in the research literature. You might end up learning how to build telemetry systems for production infrastructure at scale. Probably both, and other things we haven't thought of yet. The work will find you.We don't care much about credentials or background. A lot of the best people we've worked with came from somewhere unexpected — hard PhDs in adjacent fields, unconventional paths, weird combinations of experience. What they had in common was that they were genuinely excellent, fast learners, and good people who showed up and got on with it.If you want a detailed job spec, this probably isn't the right role. If you're the kind of person who reads that and feels relieved rather than concerned, let's talk.

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At Ryz Labs, we are looking for an AI QA Analyst to join one of our clients, an AI-first travel and hospitality company. In this role, you will act as the bridge between model development and user experience. Your primary goal is to ensure our generative models are accurate, safe, and contextually aware by implementing rigorous evaluation frameworks and data-driven insights.   Qualifications:   -Ability to spot subtle logical inconsistencies or factual inaccuracies in AI-generated content. -Experience managing, cleaning, or labeling datasets for machine learning or NLP projects. -Familiarity with the AI lifecycle, Prompt Engineering, and tools like Google Sheets/Excel (SQL or Python is a significant plus).   Key Responsibilities:   -Review and annotate complex conversation traces to rate response quality based on metrics such as helpfulness, honesty, and harmlessness (HHH). -Build and maintain high-quality "Golden Datasets" and benchmarks to stress-test the model across various domains and edge cases. -Conduct pre-deployment testing and A/B model comparisons to identify performance regressions or improvements. -Categorize model failures (hallucinations, logic errors, tone drift) to provide actionable feedback to the Engineering and Research teams. -Help define and refine the rubric for "what a good response looks like" as the product evolves.   About RYZ Labs:   RYZ Labs is a startup studio founded in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together was their passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world.   Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge cloud computing technologies to create scalable and resilient applications. We aim to provide diverse product solutions for different industries and plan to build a large number of startups in the upcoming years.   At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists.   Our values and what to expect:   - Customer First Mentality - Every decision we make should be made through the lens of the customer. - Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated. - Ownership - Step up if you see an opportunity to help, even if it's not your core responsibility.  - Humility and Respect - Be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect. - Frugality - being frugal and cost-conscious helps us do more with less - Deliver Impact - get things done most efficiently.  - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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Remote position only for candidates in Latam.   At Ryz Labs we are looking for an AI Engineer for one of our clients. We’re looking for someone who doesn’t write every line of code, but uses taste and judgment to determine what to build, then spins up parallel AI agents — each producing real output — while focusing on strategy and quality. The best builders today are 3–5x more productive than they were a year ago. The median builder is up 10–20%. We want someone in that top 5%   What You’ll Build• Agent-driven enrollment and parent communication pipelines that scale from hundredsto tens of thousands of families without linear headcount growth.• 10,000 simulated students testing our curriculum in parallel — stress-testing content,surfacing gaps, and generating improvements before real students ever see it.• Automated culture and community agents — building engagement, onboarding, andretention systems that feel human but run at machine scale.• Real-time operational dashboards that give leadership visibility into every part of thebusiness: enrollment, academic progress, parent satisfaction, campus operations.• AI-first workflows for guides, advisors, and ops staff — freeing them from administrativeburden so they can focus on students.• Brainlifts that capture institutional knowledge into AI systems that compound over time— the competitive moat.• Integration into Alpha’s broader AI ecosystem (EPHOR, Alpha GPTs, Fleet/Swarminfrastructure) What We’re Looking For Required• Has shipped production AI systems — agents, automation, LLM-powered workflows. Notprototypes. Not research.• Power user of Claude Code, Cursor, or equivalent. Already commanding agent fleets,not planning to “learn AI.”• Fluent in the fleet commander model: spins up parallel agents, delegates with clearintent, reviews output with taste and judgment.• Builds personally. This is a hands-on-keyboard role, not a people management role.• Enough product sense to know what to automate vs. what stays human in an educationcontext.• Moves before certainty. Sees problems nobody assigned and fixes them.• Comfortable in a startup environment — ambiguity, speed, resource constraints. Nice to Have• Experience scaling ops at an education company or high-growth consumer startup.• Familiarity with Alpha/Trilogy ecosystem and tooling.• Background in curriculum or content systems at scale.• Experience building real-time dashboards and business intelligence automation.