Computer Vision Jobs

Graphcore seeks an experienced Research Scientist to advance embodied AI and world models for edge/low-power scenarios including robotics and autonomous driving. The role involves developing hardware-aware AI algorithms and deploying multimodal models while contributing to fundamental and applied research published at top-tier ML conferences. You'll join a collaborative research team across UK locations working on efficient compute, model scaling, and next-generation AI architectures.

Research internship at Graphcore focused on advancing AI/ML through hardware-aware algorithms and efficient training/inference methods. Candidates will conduct self-directed research projects across diverse areas including model optimization, generative AI, and scientific applications, with mentorship and opportunities to publish at leading conferences.

Technical Product Manager role at Wayve focused on defining and delivering Level 4 autonomous driving solutions powered by embodied AI. Requires deep expertise in autonomous vehicle systems, cross-functional collaboration with R&D and safety teams, and ability to translate cutting-edge AI innovation into market-ready products while managing customer relationships and regulatory frameworks.

Lead a team developing language grounding and reasoning capabilities for Wayve's multimodal foundation models used in autonomous driving. Drive foundational research at the intersection of large-scale pretraining, language understanding, and embodied agent alignment, with focus on grounded understanding in real-world contexts.

Tech Lead role at Wayve focused on building AI validation systems for autonomous driving. Responsible for designing test scenarios and safety assessments for end-to-end learned driving models, while leading a team of validation engineers. Bridges AI/ML expertise with systems engineering to establish trust and safety standards for the autonomous vehicle industry.

Strategic Partnership Manager role at Wayve focused on commercializing autonomous driving technology through robotaxi deployments in London and Tokyo. The position requires managing partnerships with ride-hailing platforms and automotive OEMs while coordinating cross-functional teams to execute pilot launches and scale fleet operations. This is a business-focused role bridging Embodied AI technology with real-world mobility applications.

Lead fullstack engineer for autonomous vehicle onboarding experience, responsible for architecting and maintaining real-time in-vehicle web visualization that displays AI perception and decision-making to operators. Role spans frontend, backend, and embedded systems while balancing rapid iteration with safety-critical reliability and performance constraints.

Wayve seeks a Software Integration Engineer to bring-up and validate their autonomous driving AI software stack on customer hardware platforms including NVIDIA Drive and Qualcomm Ride SoCs. The role focuses on porting Linux/QNX/AUTOSAR systems, integrating drivers and middleware, and collaborating with verification and OEM teams to ensure reliable CI/CD and test infrastructure integration for self-driving vehicles.

Join Wayve's Robot Software team as a System Performance engineer responsible for building observability, profiling tools, and infrastructure that optimize software performance across the autonomous vehicle fleet. You will enable model developers and scientists to iterate quickly by ensuring reliable, efficient compute utilization and providing the tools needed to detect and resolve performance bottlenecks in onboard systems.

Join Wayve's OS & Kernel team to develop and maintain a custom Linux distribution powering their autonomous vehicle fleet. You'll work on core system infrastructure that enables rapid iteration for model developers and ensures reliable on-road experimentation for autonomous driving capabilities. This role requires deep expertise in Linux kernel development, Yocto, and embedded systems to support Wayve's mission of advancing embodied AI technology.

Site Reliability Engineer at Wayve focused on ensuring operational excellence and reliability of autonomous vehicle systems. The role emphasizes infrastructure automation, monitoring, and metrics mastery to keep AI-driven autonomous vehicles robust and resilient in production environments. This position bridges ML systems with enterprise infrastructure, requiring strong DevOps and systems engineering expertise.

Senior Site Reliability Engineer role at Wayve focused on maintaining reliability, observability, and safety of autonomous vehicle fleets operating on public roads. The position bridges software, hardware, and operations to transform real-world incidents into lasting improvements while supporting fleet scaling and faster deployment cycles.

Senior Fullstack Engineer role at Wayve (autonomous driving AI company) to build an internal web application for browsing computer vision models and exploring results. You'll partner with internal stakeholders to design and ship an MVP quickly, then iterate on user feedback while integrating with Databricks and existing backend services.

Build and maintain an in-vehicle visualization interface for autonomous vehicles that transforms complex AI outputs and camera feeds into intuitive 2D/3D visualizations using WebGL and Three.js. The role combines rapid iteration with operators and deep engineering expertise to deliver reliable, high-performance real-time visualization systems that help users understand autonomous vehicle behavior and enable diagnostics.

This role bridges technical AI/autonomous driving development with field operations at Wayve, requiring someone to lead testing programs, demonstration campaigns, and on-road validation for robotaxi systems. The position demands senior-level experience translating complex technical strategies into executable operations while maintaining feedback loops between field teams and product development.

Lead the safety programme for Wayve's robotaxi deployment across multiple cities, translating AI safety approaches and compliance requirements into scalable, structured programmes. Own day-to-day execution while coordinating across engineering, operations, legal, and partner teams to ensure credible and defensible safety operations at scale.

Wayve is expanding to Germany and seeking talented individuals to join their autonomous driving AI team. The company develops embodied AI technology and foundation models that enable vehicles to perceive and navigate complex environments. This is an interest registration for upcoming opportunities in their new German office.

Principal ML Engineer role focused on developing state-of-the-art driving models for autonomous vehicles, spanning model architecture, data pipelines, and real-world deployment. Responsibilities include leading personalized and collaborative driving projects while collaborating across AI Platform, Simulation, and Robot Software teams to deliver scalable, production-ready systems.

Wayve seeks a Principal Application Software Engineer to lead the localization of their autonomous driving AI stack for the Japanese market. The role focuses on hardware bring-up, OS porting (Linux, QNX, AUTOSAR), and validation across diverse automotive SoC platforms while collaborating with cross-functional teams on OEM integration.

Wayve seeks an Operational Safety Coordinator to support autonomous vehicle fleet testing operations, monitoring safety performance, managing incidents, and maintaining compliance documentation. The role requires 2+ years in safety/operations with knowledge of ADAS and autonomous vehicle systems, reporting to the Operational Safety Manager in a safety-critical position.

Wayve seeks an experienced technical leader to establish and manage a Japan-based Application Engineering team focused on localizing autonomous driving technology for the Japanese market. The role requires expertise in machine learning, computer vision, and robotics with strong leadership capabilities to operate independently across time zones while delivering tailored AV solutions for Japan's unique infrastructure and regulatory environment.

Senior/Staff ML Engineer role focused on building end-to-end AI driver models for autonomous vehicles (L2-L4), with ownership of the full training lifecycle from data curation through on-road validation. The position emphasizes product-driven execution with direct impact on commercial deployments like the Nissan MVP, requiring expertise in safety-critical machine learning and rapid iteration cycles.

Wayve is seeking an experienced Hardware Engineer to design and develop embedded electronics systems for autonomous driving compute platforms. The role involves architecting high-performance compute systems optimized for AI/ML workloads, collaborating across hardware and software teams to bring up and validate mission-critical electronics for embodied AI applications.

Field Engineer at Wayve responsible for on-site diagnosis and repair of autonomous vehicle software and hardware issues with strict 5-minute response times. The role requires hands-on technical troubleshooting, adherence to safety protocols, and collaboration with global engineering teams to maintain fleet operational uptime. This is a newly established position within Fleet Operations focused on rapid fault resolution in a fast-paced autonomous driving environment.

Wayve seeks a hands-on Field Engineer to diagnose and resolve autonomous vehicle software and hardware issues in their fleet operations. The role requires rapid fault triage with 5-minute response times, collaboration with global teams, and adherence to strict safety protocols while helping establish new operational processes.

A hands-on Field Engineer role at Wayve focused on diagnosing and resolving vehicle software and hardware issues in autonomous driving systems. The position requires rapid fault triage, on-road testing support, and collaboration with safety teams to keep the fleet operational while contributing real-world feedback to improve AI performance.

This is a program management role at Wayve, an autonomous driving AI company, requiring leadership of OEM customer programs from development through production. The role demands deep automotive and embodied AI knowledge, along with strong project management capabilities including risk and change management across complex cross-functional initiatives.

Customer Integration Engineer at Wayve supporting autonomous driving AI technology deployment with customers. The role requires hands-on technical expertise in vehicle integration, real-time diagnostics, and serving as a bridge between customer engineering teams and internal Wayve engineers to ensure seamless deployment of their Embodied AI software.

This Customer Integration Engineer role supports Wayve's autonomous driving AI technology throughout the customer development lifecycle, from integration to validation. The position requires hands-on technical expertise to diagnose issues, bridge customer and internal engineering teams, and ensure seamless deployment of mapless AI driver systems into vehicles. Success demands strong system understanding, real-time troubleshooting skills, and close collaboration with automotive engineering teams.

Customer Integration Engineer supporting Wayve's autonomous driving AI technology through hands-on technical assistance during vehicle integration and validation phases. Acts as the critical bridge between customer engineering teams and Wayve's internal teams, performing real-time diagnostics and troubleshooting of AI system integration issues in complex automotive environments.

Join Wayve's Science team to develop controllable generative world models (GAIA) that simulate realistic multi-sensor environments for autonomous vehicle training. You'll advance next-generation autonomous driving by creating photoreal, physics-aware simulations that accelerate AI development beyond collecting real-world miles.

This role focuses on bringing up Wayve's autonomous driving AI stack on diverse automotive hardware platforms (NVIDIA Drive, Qualcomm Ride) and operating systems (Linux, QNX, AUTOSAR). The engineer will handle software porting, driver integration, and hardware validation for US market deployment, requiring strong embedded systems and systems integration expertise.

Wayve seeks an Application Software Engineer to localize and deploy their Embodied AI autonomous driving stack on Japanese customer hardware platforms. The role focuses on software bring-up, hardware integration, and validation across diverse automotive SoCs and operating systems (Linux, QNX, AUTOSAR) in collaboration with cross-functional teams.

On The Ground Specialist responsible for launching Caper's smart shopping cart technology in retail stores across Maryland. This temporary contractor role (up to 3 months) focuses on in-store operational success, pilot planning, and collaboration between retail partners and the internal product/operations teams.

On-the-ground specialist role focused on deploying and launching Caper's smart shopping cart technology (computer vision-based) in retail stores across Maryland. Requires hands-on operational management, client collaboration, and coordination between field teams and remote product/operations teams to ensure successful pilot launches and ongoing performance.

Field Sales Representative role at Instacart focused on introducing and demonstrating Caper smart cart technology to grocery store shoppers. The position involves direct customer engagement, product feature education, and driving adoption of computer vision-based cashierless retail solutions across store locations nationwide.

This is a field sales role at Instacart focused on demonstrating Caper smart carts (which utilize computer vision and deep learning) to customers in grocery stores. The position requires direct customer engagement and product adoption advocacy rather than AI/ML technical work, making it primarily a sales and go-to-market operations role with minimal AI technical requirements.

Lead a ~10-person ML/AI infrastructure team building the perception and reasoning systems powering Instacart's AI-driven Caper shopping carts. Own the technical roadmap for computer vision, item recognition, and edge inference that enables seamless checkout in real-world retail environments. Partner across Android, hardware, and operations to deliver production-grade models optimized for latency, accuracy, and reliability on edge devices.

Lead the design and implementation of Reddit's ML training infrastructure platform, architecting foundational systems that power recommendations, feeds ranking, and content understanding. You'll build Kubernetes-based ML workflows, optimize large-scale training infrastructure, and create self-service tooling for data scientists working with deep learning, NLP, and computer vision models.

Anthropic seeks a senior Research Engineer with 7+ years of ML and computer vision expertise to advance Claude's visual and spatial reasoning capabilities. The role involves developing vision language model architectures, creating multimodal datasets and evaluations, and collaborating across teams to solve real-world customer challenges. This is a full-stack research position spanning pretraining, reinforcement learning, and deployment-time techniques.

Anthropic seeks Research Engineers/Scientists to develop next-generation multimodal large language models in their Zurich pre-training team. The role blends cutting-edge research with practical engineering, requiring expertise in model architecture, algorithm development, and large-scale ML systems optimization. Candidates should have strong software engineering skills, Python proficiency, and experience with deep learning frameworks, with flexibility across the researcher-engineer spectrum.