Senior Ai Ml Architect Jobs

Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Identify areas w

Senior Applied Scientist Prolific You'll join Prolific's Supply team, which is responsible for the health and growth of our participant marketplace, the supply side of our two-sided marketplace connecting participants and researchers. This is a senior role on an established Supply Data Science team, focused on marketplace dynamics—in particular driving participant supply, demand, and quality through advanced optimization techniques and recommendation algorithm expertise. You will work closely with existing specialists in this space to design, validate, and scale high-impact algorithmic systems that optimize study matching and participant experience. As a senior scientist, you will lead complex technical directions and help define the right problems to solve, driving both strategy and implementation. The role The Applied Scientist role is new to Prolific. It combines data science, ML, and statistics to build practical systems that drive real business outcomes. This isn't a pure research role, although you may explore papers and explore new ideas. The focus is on turning promising approaches into production-ready solutions. It is also not an ML engineering role: you don't need engineering experience, but you should understand what deploying a model involves and the practical constraints around it. We care about approaches that actually work in production, not ones that are too slow or expensive to run, and about the judgement to tell the difference. What you'll bring Deep expertise in mathematical optimization and recommendation algorithms applied to large-scale matching or marketplace problems. Judgement about when to reach for simple statistics, classical ML, LLMs, or agentic approaches. 5+ years applying ML, AI research, optimization, or recommendation systems to complex production problems. Python skills sufficient to build, test, and iterate on working prototypes independently. Able to take a loosely defined product or customer problem and tu

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team The Infrastructure team builds and operates the foundations that power Decagon: networking, data, ML serving, developer platform, and real‑time voice. We partner closely with product, data, and ML to deliver high‑scale, low‑latency systems with clear SLOs and great developer ergonomics. We organize around four focus areas: Core Infra: The foundational cloud stack—networking, compute, storage, security, and infrastructure‑as‑code—to ensure reliability, scale, and cost efficiency. Data Infra: Streaming/batch data platforms powering analytics/BI and customer‑facing telemetry, including for customer‑managed and on‑prem environments. ML Infra: GPU and model‑serving platforms for LLM inference with multi‑provider routing and support for on‑prem/air‑gapped deployments. Platform (DevEx): CI/CD, paved paths, and core services that make shipping fast, safe, and consistent across teams. Our mission is to deliver magical support experiences — AI agents working alongside humans to resolve issues

About Clutch Clutch is Canada’s largest online used car retailer, delivering a seamless, hassle-free car buying and selling experience. Customers can sell their car instantly online using our ML-driven pricing model, or browse thousands of cars to buy, all from the comfort of their home. Named three years in a row to the Globe & Mail’s list of the Top Growing Companies in Canada and awarded spots on Deloitte’s Technology Fast 50™ and Fast 500™ lists, we’re looking to add curious, hard-working, and driven individuals to our growing team. Headquartered in Toronto, Clutch was founded in 2017 and is backed by world-class investors including Canaan, BrandProject, Real Ventures, D1 Capital, and Upper90. About the team Product & Design is Clutch’s creative engine. We solve some of the hardest problems in the business: improving the customer experience, building internal tools that power our operations, running growth experiments, connecting systems and data, and finding better ways to buy, sell, and move cars. The way we build products has changed significantly. Using Ignition, our platform for agentic engineering, individuals can now work across parts of the product-development process that traditionally required several specialized roles. A project that once involved a large team for months can increasingly be owned by one or two people and shipped in days. We call those people builders . A builder can move from understanding a business problem to shaping a solution, designing the experience, building it, testing it against realistic data, putting it in front of users, and iterating based on what they learn. This role is for someone excited by the fact that the boundaries between product, design, and engineering are becoming increasingly blurry. What you’ll do Own important product problems end-to-end, from understanding the business and user problem through building and shipping the solution Immerse yourself in Clutch’s operations, customers, systems, proc

The Zoox 3D Sensor Simulation team’s work is at the core of creating in-the-loop simulation and high fidelity synthetic data for training and testing autonomous vehicle AI. We are looking for a machine learning professional with experience applying ML to sensor data, such as LiDAR, radar, and cameras. This role lies at the intersection of machine learning and 3D simulation at Zoox, ranging from learned sensor models to neural 3D reconstruction. By improving the realism of simulated sensors (lidar, radar, and cameras), you’ll enable the Zoox robotics autonomy stack to learn, improve, and enhance the mobility of humans. In this role, you will: Design, train, and validate ML models that improve the realism of simulated lidar, radar, and camera data in autonomous vehicle (AV) simulation pipelines. Collaborate with Synthetic Data and HIL Sim teams to integrate 3DGS and NeRF-based 3D reconstruction with simulation of all sensor modalities. Build and curate training datasets from real and simulated sensor data, including GenAI-based data augmentation. Partner with Sim V&V and Perception engineers to define sensor realism metrics and close the sim-to-real gaps with the greatest impact on autonomy. Mentor engineers and interns, and establish best practices for training and deploying ML on Zoox sensor data. Qualifications: 2+ years of prior experience as a Technical Lead 5+ years of experience developing ML models in Python with PyTorch or TensorFlow <

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years, fueled by incredible technology and amazing people. Today, we're using the power of AI to define the next era of computing, with our GPU acting as the brains of computers, robots, and self-driving cars. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. NVIDIA is hiring a Staff Engineer to build the company's Enterprise Data Governance platform. This platform spans sensitive-information protection, governed data access across every collaboration and content system at NVIDIA, and the knowledge infrastructure that makes our enterprise AI trustworthy and accurate. What makes this role genuinely hard is the tension at its core: AI agents need broad, deep access to enterprise knowledge to be useful, while export controls, legal constraints, and security policy demand precise, auditable access control. Getting both right, across dozens of systems and one of the most complex enterprise environments in the industry, is the problem this team is solving. We are looking for technically strong engineers across the senior to principal level who thrive on hard infrastructure problems and want to own work that is central to how NVIDIA operates at scale. What You Will Be Doing: Sensitive Information Protection Own the roadmap for sensitive-information detection and remediation, working with Finance, Legal, and Security to define classification models, remediation workflows, and reporting that leadership can trust. Evaluate and integrate ML-based classification approaches to detect sensitive content across unstructured data at scale, and iterate on precision and recall as the data landscape evolves. Governed Dat

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 Safety and redundancy is one of the key requirements to Nuro Driver™. In this role, you will contribute to our Parallel Autonomy System and Collision Detection System to protect our passengers and other road participants from the unknown unknowns. Here, you’ll be challenged to provide utmost accuracy while working with exacting latency requirements, where millisecond counts. About the Work This team tackles a wide range of problems: ML-based perception across all sensor modalities including audio, estimating object velocity and acceleration with high accuracy, onboard latency optimization, and developing tooling for large scale data curation. Partner with a tight-knit group of engineers who focus on collision avoidance. Participate in the design and implementation of a system that spans perception, planning, and control. Contribute to designing the validation methodology in order to validate a system that is required to pe

Our Mission You call. You wait. You call again. In every other part of your life, you book in seconds. In healthcare, you’re blocked. We’re here to give power to the patient. For nearly 20 years, we’ve built the leading healthcare marketplace - helping tens of millions of people find and book the care they need. Now, we’re going further: building our infrastructure beyond Zocdoc’s marketplace to power access to care wherever patients search, from provider websites and insurance directories to search engines, AI platforms, and more. Healthcare still lacks something every other major consumer industry takes for granted: a seamless way to go from seeking to getting . We don’t want to own the front door to care; there isn't one. We want to make sure all of those doors open when patients are knocking. Fixing healthcare starts with fixing access to it. And we're still just getting started. Your Impact on our Mission We're transforming how healthcare practices interact with Zocdoc, building intelligent systems that understand each practice's needs and guide them toward actions that grow their business. This means personalized homepages, smart recommendations, AI-assisted configuration, and workflows that make Zocdoc essential to daily operations. As Senior Software Engineer, you'll build these systems end-to-end. You'll own features from design through production, work across the stack, and collaborate with Product, Design, and Data Science to ship experiences that matter. What You'll Do Build platform components - including practice profile services, engagement scoring pipelines, recommendation APIs, personalization infrastructure. Ship product features end-to-end - database to API to front-end, owning the full lifecycle. Work with Data Science to integrate ML models build feature pipelines, call model endpoints, instrument feedback loops. Write production-ready code with strong testing, observability, and error handling. Participate in desi

The Position CallRail is looking for a Senior Product Manager to own one of our most important integration domains — either our ad platform integrations (Google Ads, Microsoft Advertising, Meta) or our CRM integrations (Salesforce, HubSpot, and the vertical systems our customers run their businesses on). These integrations are where CallRail's data becomes real value for customers: closing the loop between a phone call and the ad that drove it, or pushing conversation intelligence into the system a sales team actually works in. You'll lead the strategy for your domain and own that surface end to end, and partner with the other integrations PM on the shared patterns — data sync, authentication, webhooks, and third-party APIs — so the portfolio stays coherent. Your integrations are also the foundation other teams build on — including Voice Assist , where what our AI agents can do for a customer depends directly on what your integrations can read and write. We're looking for someone who is genuinely AI-fluent — both in how they work and in what they build. The integration landscape is changing fast: platforms are exposing agent-accessible interfaces, customers expect setup and mapping to be intelligent rather than manual, and the PMs who move fastest are the ones using AI as a daily tool rather than a talking point. You don't need to be an ML engineer. You do need to reach for AI first and have opinions about where it helps and where it doesn't. This role suits a self-motivated PM who thrives at both setting product direction and rolling up their sleeves to deliver results with engineering. What You'll Do Own your integration domain Define and own some of our largest core integrations, aligning them with business goals, customer needs, and strategic partnerships. Take the integrations customers already depend on past MVP — fill functional gaps, expand data coverage, and make them genuinely good rather than merely connected. Own how customers experience yo

Perception data is core to how Zoox’s robotaxis understand the world, and as Senior Manager of Perception Data, you will own the flywheel that turns that data into safer, smarter driving. You will lead our perception data organization, spanning data science, data engineering, and data labeling, and own how we mine logs, automate annotation, feed high value data into our models, and close the loop through analysis and measurement. The most valuable examples in our corpus are often the hardest to find: rare behaviors, unusual interactions, safety critical events, and the long tail of real world urban driving. Your role is not only to build the systems that process this data, but to decide what data matters and why, and to build the learning loop that lets Zoox improve model performance faster. This is an opportunity for a leader who blends strategic thinking with strong execution, has done it before at scale, and knows how to partner with ML leaders, metrics pipelines, and infrastructure teams. In this role, you will... Own the perception data flywheel. Run the learning loop from real world fleet signals and model behavior through data discovery, curation, and enrichment into training, evaluation, and measurement. Lead multidisciplinary teams. Manage and develop a 10+ person team of data science, data engineering and data labeling, setting priorities and raising the bar on execution. Automate annotation at scale. Drive auto annotation and auto labeling pipelines, reducing manual cost while improving label quality and throughput. Build advanced data miners. Develop intelligent approaches to surfacing rare, surprising, and safety critical scenarios in very large datasets, using techniques such as embeddings, semantic search, learned representations, and model driven data selection. Own log selection and storage. Define how we select, store, and retrieve fleet logs so the right data reaches our models efficiently and economicall

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale. About the team Ads and Promotions powers the advertising marketplace across DoorDash, Wolt and Deliveroo: sponsored placements, in-app promotions and offsite campaigns that connect merchants and brands with the right consumer, at the right moment. Brand Ads and Promotion teams build products to enable our brands and merchants to create ads in self-serve and programmatic manner. This will include owning the full funnel of advertising products from advertiser onboarding, programmatic campaign management, and end to end measurement suite of products for our brands and merchants to grow their business on our platforms. About the role Deliveroo is looking for a Senior Engineering Manager of Brand Ads and Promotions, to guide the development of world class ad products and solutions. This role will require you to build products utilising distributed backend systems as well as front-end systems to enable our advertisers seamlessly advertise on our platform. You will lead, guide and mentor software engineers, ML engineers, and software managers. This role is based in our London office with a hybrid setup, typically 3 days in the office, and will act as a single threaded leader for our EMEA Ads or

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 On the Autonomy Visualization team, your top priority will be developing high-quality visualization platforms. These platforms will allow any software engineer to add new viz elements. Additionally, you’ll also have the opportunity to work end-to-end on viz features and products, exercising both your technical skills, product sense, and cross-functional communication. About the Work As an Autonomy Visualization Software Engineer, you’ll build business-critical tools that accelerate the development of Nuro’s autonomous driving technology. Build performant visualization frameworks in both C++ / OpenGL and Unity to serve multiple critical functions like autonomy development and validation, triage tools, and in-car visualization. Be a partner to Autonomy engineers as they seek to improve their development workflow with better visualization. Collaborate with ML Labeling teams, as they seek to gather high-quality training d

The Opportunity Typography is central to how ideas are communicated. If you're passionate about beautifully created design, have deep curiosity about what AI can do, and take personal responsibility for creating products that people love; then this may be the role for you. Adobe Fonts supports millions of creatives in choosing and using typefaces across fonts.adobe.com, Express, Photoshop, Illustrator, Acrobat, and more Creative Cloud platforms. Our Internal Services team provides the platform engineering and deployment backbone for all of these. We manage CI/CD, deployment approaches, the services and data layers our engineers depend on, our observability and security stance, and increasingly the agentic tools that transform how our entire organization delivers software. We're seeking a Senior Software Development Engineer to lead this exciting journey in our San Francisco location. What you'll do Own and evolve our deployment platform. Lead strategy for CI/CD, PR environments, and release safety across a mixed fleet that includes containerized services, serverless services, and static front ends. Build the foundation for AI-accelerated development. Help build our agent factory and grow our internal agentic toolkit and skill library. Ship inference applications at scale. Take greenfield services from spec to production and standardize our ML/inference footprint. Modernize our services for the AI era. Identify where an existing service is held back by its current build and lead the fix. Rethink our security posture for agentic threats. Lead how we secure autonomous agents and their tool use. Expose Adobe Fonts to the agentic ecosystem. Extend our Model Context Protocol (MCP) surface and conversational, intent-based font discovery. Work higher up the stack, too. Contribute directly to search, browse, discovery, and the customer-facing experie

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them. We're looking for a Technical Program Manager to help bring some of our most meaningful machine learning and personalisation work to life. You'll lead cross-functional programs that shape how hundreds of millions of listeners discover music, podcasts, and audiobooks. You'll be the connective tissue between teams who turn billions of daily listening signals into recommendations that feel personal to every listener. What You'll Do Lead end-to-end program management for large-scale ML and personalization initiatives, bringing together engineering, data science, product, and design. Drive the delivery of recommendation systems and personalization models used by listeners around the world, with clear accountability for outcomes. Own program roadmaps, milestones, dependency maps, and risk plans, identifying risks early and working with teams to resolve them before they become blockers. Orchestrate ML development workflows, including model training pipelines, experimentation, data infrastructure, and production deployment. Partner with engineering leaders on capacity planning, resourcing, and technical trade-off decisions. Drive alignment across ML engineering, data science, product, platform, and UX teams so everyone is working toward the same goals. Set up program metrics, reporting rhythms, and dashboards that give leadership clear visibility into progress, risks, and decisions. Keep leadership well-informed with no surprises through clear, data-in