Senior Ai Ml Architect Jobs

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. 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. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why This Role Is Different This is not a typical “Applied Scientist” or “ML Engineer” role. As a Member of Technical Staff, Applied ML, you will: Work directly with enterprise customers on problems that push LLMs to their limits. You’ll rapidly understand customer domains, design custom LLM solutions, and deliver production-ready models that solve high-value, real-world problems. Train and customize frontier models — not just use APIs. You’ll leverage Cohere’s full stack: CPT, post-training, retrieval + agent integrations, model evaluations, and SOTA modeling techniques. Influence the capabilities of Cohere’s foundation models. Techniques, datasets, evaluations, and insights you develop for customers will directly shape the next generation of Cohere’s frontier models. Operate with an early-startup level of ownership inside a frontier-model company. This role combines the breadth of an early-stage CTO with the infrastructure and scale of a deep-learning lab. Wear multiple hats, set a high technical bar, and define what Applied ML at Cohere becomes. Few roles in the industry combine application, research, customer-facing engineeri

We are expanding our agentic AI capability and are looking for an AI Engineer to join the team. You will work alongside senior engineers to build and maintain AI systems — contributing to agentic pipelines, retrieval infrastructure, and the integrations that tie these systems together. This is a hands-on implementation role with real ownership of components. You will grow your skills in a fast-moving AI practice, working on production systems that directly affect client outcomes. What This Involves: Build and maintain agentic pipelines and workflows under the guidance of senior engineers: tool use, orchestration, and multi-step reasoning. Implement and tune RAG pipelines — including embedding, chunking strategies, vector retrieval, and retrieval evaluation. Contribute to memory and context layer components: integrating vector databases, supporting knowledge graph pipelines, and helping maintain state management across agentic systems. Write clean, well-tested Python code and participate in code reviews. Debug and improve existing AI systems based on evaluation results and production feedback. Collaborate with data engineers and domain experts to integrate AI components with upstream data sources and downstream applications. Document implementations clearly and contribute to shared internal tooling. Requirements: 2–4 years of software or ML engineering experience, with at least 1 year working with LLMs or AI systems in a professional setting. Working knowledge of LLM APIs (OpenAI, Anthropic, or similar) and at least one agentic or RAG framework (LangChain, LlamaIndex, or equivalent). Solid Python skills and comfort with software engineering basics: version control, testing, REST APIs. Familiarity with vector databases or embedding-based search. Curiosity about agentic AI — you follow developments in the space and are eager to apply new techniques. Excellent communication and collaboration skills — comfortable working across cross-functional and client-facing te

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Where Data Does More. Join the Snowflake team. Snowflake is seeking an entrepreneurial and visionary engineering leader to build and scale our new AI Solutions team. As the Director of Engineering for AI Enterprise , you will be at the forefront of the generative AI revolution, leading a world-class engineering organization that designs and implements cutting-edge solutions on the AI Data Cloud. This is a critical, high-impact leadership role where you will partner with the world's largest companies to solve their most complex challenges and unlock transformative business value using Snowflake's powerful Cortex AI Platform. IN THIS ROLE AT SNOWFLAKE, YOU WILL: Recruit, mentor, and scale a high-performing, global engineering organization. Foster a culture of innovation, ownership, and engineering excellence. Define the long-term technical vision and organizational structure for the AI Solutions team, ensuring alignment with Snowflake's product evolution and business goals. Lead the technical design and development of advanced AI and machine learning solutions using Snowflake Cortex and Snowflake ML. Own the end-to-end implementation of the AI Solutions product line, from initial concept to enterprise-grade production deployments. Act as the senior engineering authority in cu

Senior Data Scientist (FullStack Machine Learning) About Team Myntra Data Science team delivers a large number of data science solutions for the company which are deployed at various customer touch points every quarter. The models create significant revenue and customer experience impact. The models involve real-time, near-real-time and offline solutions with varying latency requirements. The models are built using massive datasets. You will have the opportunity to be part of a rapidly growing organization and gain exposure to all the parts of a comprehensive ecommerce platform. You’ll also get to learn the intricacies of building models that serve millions of requests per second at sub second latency. The team takes pride in deploying solutions that not only leverage state of the art machine learning models like graph neural networks, diffusion models, transformers, representation learning, optimization methods and bayesian modeling but also contribute to research literature with multiple peer-reviewed research papers. Roles and Responsibilities Design, develop and deploy machine learning models and algorithms to solve complex business problems for Myntra Recsys, Search, Vision, SCM, Pricing, Forecasting, Trend and Virality prediction, Gen AI and other areas. Theoretical understanding and practice of machine learning and expertise in one or more of the topics, such as, NLP, Computer Vision, recommender systems and Optimisation. Implement robust and reliable software solutions for model deployment. Set up and maintain CI/CD pipelines for automated testing and deployment. Maintain machine learning pipelines, contributing to tasks like data cleaning, feature extraction and basic model training. Collaborate with Platforms and Engineering to make sure the ML models built are deployed and integrated into the systems. Working with the Data Platforms teams for understanding and collecting the data. Write clean, maintainable and efficient code. Conduct performan

Senior Data Scientist (FullStack Machine Learning) About Team Myntra Data Science team delivers a large number of data science solutions for the company which are deployed at various customer touch points every quarter. The models create significant revenue and customer experience impact. The models involve real-time, near-real-time and offline solutions with varying latency requirements. The models are built using massive datasets. You will have the opportunity to be part of a rapidly growing organization and gain exposure to all the parts of a comprehensive ecommerce platform. You’ll also get to learn the intricacies of building models that serve millions of requests per second at sub second latency. The team takes pride in deploying solutions that not only leverage state of the art machine learning models like graph neural networks, diffusion models, transformers, representation learning, optimization methods and bayesian modeling but also contribute to research literature with multiple peer-reviewed research papers. Roles and Responsibilities Design, develop and deploy machine learning models and algorithms to solve complex business problems for Myntra Recsys, Search, Vision, SCM, Pricing, Forecasting, Trend and Virality prediction, Gen AI and other areas. Theoretical understanding and practice of machine learning and expertise in one or more of the topics, such as, NLP, Computer Vision, recommender systems and Optimisation. Implement robust and reliable software solutions for model deployment. Set up and maintain CI/CD pipelines for automated testing and deployment. Maintain machine learning pipelines, contributing to tasks like data cleaning, feature extraction and basic model training. Collaborate with Platforms and Engineering to make sure the ML models built are deployed and integrated into the systems. Working with the Data Platforms teams for understanding and collecting the data. Write clean, maintainable and efficient code. Conduct performan

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies, from the world’s largest enterprises to the most ambitious startups, use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The Checkout Optimization team is the growth team for Stripe’s checkout UIs. They build high-converting, personalized checkout experiences for buyers and agents, as well as the data platform that powers it. The team identifies opportunities to improve checkout through rapid product experimentation and delivers optimization at scale through our ML-powered engine. The team also builds the reliable data foundations that enable this work, including experimentation, optimization, and data-informed product decisions across Stripe’s checkout suite. Over the next 6 to 12 months, the team will focus on: Building personalized checkout experiences powered by the ML-based Optimization Engine Agentic commerce through optimizing OCS experiences for agent buyers Checkout optimization for rapidly growing AI companies Improving our data platform, which is critical to leveraging data internally and externally What you’ll do Engineering Managers at Stripe are responsible for the success of their team. You’ll be deeply involved in the engineering and design processes as well as coaching, mentoring, and leading the team. You’ll have a deep understanding of how to drive efficient engineering teams and you’ll have a strong user focus. You'll work with engineers on creating technical solutions and communicating effectively across teams and senior leadership. Responsibilities Lead and manage a team of talented full-stack product and data engineers, providing

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role As a senior member of Nuro’s Technical Sourcing team, you will build and maintain top-tier talent pipelines for leadership and technical roles across ML, AI, and Robotics. Partnering closely with engineering leaders and recruiters, you will deliver targeted research, craft personalized outreach for passive and competitive talent, and ensure a high-quality candidate experience. This role is ideal for someone with strong technical acumen who thrives in ambiguity and approaches sourcing strategically. About the Work Partner with hiring managers, recruiters, and technical leaders to define ideal candidate profiles, align on sourcing strategies, and refine requirements as searches evolve. Build and execute precision-targeted searches across Engineering roles. Craft personalized, thoughtful outreach to engage even the most passive and competitive technical talent. Act as the primary top-of-funnel owne

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role We are looking for a Senior/Staff Machine Learning Engineer to be a technical leader on Nuro’s Behavior & Planning team. Our team owns how the Nuro Driver behaves on the road: prediction, decision making, and planning, and is responsible for turning Nuro’s large-scale driving data into safe, comfortable, and natural driving behavior. In this role you will bring strong, general machine learning expertise to some of the hardest problems in autonomy and drive them from research through to deployment on real vehicles. You’ll work at the frontier of applied ML spanning areas such as foundation and world models, LLM/VLM reasoning, reinforcement and imitation learning, generative and diffusion models, and transformer-based prediction and planning. You’ll apply this knowledge and experience to make our driving generalize as we scale across new geographies as we expand throughout the U.S. and globally, and across new vehi

Who We Are Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale, empowering a safer, richer, and more connected future. About the Team The Talent Acquisition team is composed of Sourcing, Recruiting and Coordination, and serves as a strategic partner to all of Nuro’s functions, encompassing engineering and autonomy, as well as operations and business. We combine data-driven insights with deep market expertise to ensure Nuro continues to attract and hire exceptional talent. Our recruiters and sourcers are builders at heart, partnering closely with leadership and hiring teams to deliver a candidate experience that reflects Nuro’s mission and values. About the Role We’re seeking a Head of Talent Acquisition to lead and scale Nuro’s recruiting and sourcing organization through our next phase of growth and commercialization. This role will oversee both the recruiting teams and the dedicated sourcing team responsible for hiring across Nuro, including the technology, engineering, business, and operations functions. You’ll partner closely with senior executives and functional VPs to design capacity-driven hiring plans, leverage data to guide staffing decisions, and ensure our recruiting teams have the strategy, systems, and infrastructure needed to execute with excellence. This leader will also drive key executive searches, serving as a hands-on partner to Nuro’s leadership team to attract world-class talent in AI, ML, autonomy, and robotics. About the Work Lead and scale Nuro’s recruiting and sourcing org

What you’ll do Own and evolve the Quality Management System (QMS) to support a regulated medical device development program, including design controls and DHF maintenance. Establish and enforce requirements traceability: user needs → design requirements → verification/validation artifacts and change control. Define and run the program-level V&V strategy (verification, validation, and test coverage), including test plans, protocols, reports, and acceptance criteria. Drive risk management activities (e.g., DFMEA / PFMEA, hazard analyses) and ensure mitigations are reflected in requirements and verification. Lead document control: reviews, approvals, training, retention, and audit readiness. Partner with engineering to make quality “native” to the dev workflow (automated testing, release gates, software configuration management). Prepare the program for audits and inspections, including hands-on audit leadership. What we’re looking for Senior experience leading quality for complex hardware + software products in a regulated environment. Deep familiarity with design controls, DHF, document control, risk management, and verification planning. Strong systems thinking and the ability to translate ambiguous product intent into testable requirements. Comfortable collaborating directly with multidisciplinary engineering (recon/ML, embedded, mechanical, EE, cloud). Useful experience Regulated product quality leadership (ISO 13485 / 21 CFR 820 or equivalent), including audit readiness and FDA-facing work. eQMS + document control fluency (e.g., Greenlight Guru) that integrates cleanly with modern engineering workflows.

About the Team The Safety Systems team is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society, and is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. The Safety Oversight Research team aims to fundamentally advance our capabilities to maintain oversight over frontier AI models, and leverage these advances to ensure OpenAI’s deployed models are safe and beneficial. This requires a breadth of new ML research in the areas of human-AI collaboration, reasoning, robustness, and scalable oversight to keep pace with model capabilities. We invest heavily in developing novel model and system-level methods of identifying and mitigating AI misuse and misalignment. Our goal is to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. About the Role OpenAI is seeking a senior researcher with a passion for AI safety and experience in safety research. Your role will set directions for research to maintain effective oversight of safe AGI and work on research projects to identify and mitigate misuse and misalignment in our AI systems. You will play a critical role in defining how a safe AI system should look in the future at OpenAI, making a significant impact on our mission to build and deploy safe AGI. In this role, you will: Develop and refine AI monitor models to detect and mitigate known and emerging patterns of misuse and misalignment. Set research directions and strategies to make our AI systems safer, more aligned, and more robust. Evaluate and design effective red-teaming pipelines to examine the end-to-end robustness of our safety systems, and identify areas for future improvement. Conduct research to improve models’ ability to reason about questions of human values, and apply these improved models to practical safety challen

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Principal Signal Integrity Engineer — Interface Pathfinding About the Role At Micron, we transform how the world uses information to enrich life for all. As a global leader in memory and storage innovation, we develop technologies that accelerate intelligence and enable the next era of AI, ML, and advanced computing. Micron’s Interface Pathfinding team operates at the leading edge of that mission — serving as a bridge between corporate strategy and engineering through forward-looking investigation and development of energy-efficient bandwidth solutions. Our work spans innovative circuit, signaling, packaging, and interconnect solutions with a 3–5 year technology horizon, grounded in rigorous analysis, hands-on measurement, and a commitment to building a robust intellectual property portfolio. As a Principal Signal Integrity Engineer , you will be a core technical contributor on a deliberately small, senior team united around the goal of preparing high-speed interface innovations for high-confidence product adoption. What You’ll Work On Micron’s Interface Pathfinding team investigates and validates novel interconnect and signaling solutions for high-speed memory and die-to-die interfaces. The signal integrity scope is broad and analytically deep — spanning electrical modeling, channel analysis, and substrate evaluation — with an emphasis on original analysis rather than execution of established playbooks. Key signal integrity domains include: Intercon

ABOUT BASETEN Baseten 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 $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're looking for a senior social media manager to own how Baseten shows up on social. Our audience is ML engineers, infrastructure teams, and technical founders, and most of them meet us first on X or LinkedIn, around a model launch, a benchmark, an open source release, or a customer result. This role decides what that first impression is. This is a senior individual contributor role. You set the strategy and you write the posts. Day to day you'll work with product marketing, comms, design, our engineers, and our founders. This role relies on technical credibility. You don't need an engineering background, but you do need to understand what we're claiming and why it matters. We post about latency, throughput, and GPU cost, and we hold ourselves to getting those details right. RESPONSIBILITIES This role is the face of the Baseten brand on our social channels and builds our direct line of communication with the community across X, LinkedIn, YouTube, and the communities where our audience already spends time. Track the conversation across AI and open source, and move quickly when we have something useful to add. Set the social strategy: what we post where, how each account grows, and how we measure it, with a clear point of view on which channels deserve investment and which don't. Translate technical work into posts worth sharing: model launches, benchmark results, open source projects, engineering deep dives, an

About the Role: The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding and ads optimization that shape the future of streaming. We are seeking a highly skilled Staff Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions. This is a hybrid role in our Toronto office. What You'll Do: Lead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences. Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement Your Background: 8+ years of industry experience building production Machine Learning systems MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks Proficiency in building and deploying full-stack machine le

At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the Role Anyscale's security and compliance needs are growing as we work with larger and more demanding customers. Compliance is increasingly a customer-facing, contractual function rather than an internal exercise, and we are looking for someone to own it. This role owns that function end to end: our audits, our evidence base, our risk register, and the security diligence that customers put us through before and during a contract. You will work directly with the Head of Security and across engineering, IT, legal, and sales. This is a program-ownership role with the autonomy and accountability that implies. You will not have a senior compliance function above you to defer to; you are that function. In your first year, success looks like a complete and defensible evidence base with clean audit outcomes, a repeatable way to answer customer security diligence, and a risk register that leadership actually uses. What You'll Do Own our SOC 2 Type II and ISO 27001 programs, and future frameworks as we take them on, including scope, evidence, control operation, and the relationship with our external auditors. Own and complete the control evidence base in our compliance automation platform, moving controls from partially substantia