Senior Ai Computer Vision Engineer Jobs

NVIDIA is a global leader in high-speed computer vision, artificial intelligence (AI), and deep learning. Our team develops data engineering solutions that empower AI developers in autonomous vehicle (AV) domains to innovate quickly and effectively at scale. Are you ready to take on a senior technical role in building high-performance AI data pipelines? We seek an exceptional individual to design and optimize microservices and data pipelines to process massive volumes of AV data and enable seamless data mining and AI training. The ideal candidate will bring expertise in big data processing and distributed computing to create efficient solutions and overarching architectures for challenges such as video data curation, behavioral search, and AI dataset management. What you'll be doing: Scope and build tools, microservices, workflows, and distributed applications to accelerate data mining and AI training. Design and implement solutions for streaming, resilience, logging, security, authentication, workflow orchestration, and data management. Deploy AI models. Design and develop Retrieval-Augmented Generation (RAG) workflows enabling hybrid and agentic patterns. Analyze and operationalize complex distributed systems for speed-of-light performance. What we need to see: Experience developing high-performance, scalable software systems. MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field. Strong programming skills in Python or Golang Proficiency in key technologies like Kubernetes, Helm, Hive, Parquet, SQL, vector databases, e.g., Milvus. Strong architectural skills with a proactive, problem-solving mentality. Experience in data mi

We're looking for a Senior Machine Learning Engineer with strong computer vision expertise to join our Biometrics team. You'll ramp up on the biometrics domain while contributing to the design, training, and scaling of our ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Design and develop computer vision models and pipelines, contributing to biometrics use cases such as face detection, quality assessment, and recognition Collaborate on benchmarking of models across datasets and operating conditions Train and optimize models using PyTorch, TensorFlow, and/or JAX Contribute to end-to-end ML pipelines, from data ingestion to deployment. Help design automated pipelines (Airflow) for data ingestion and cleaning. Production Engineering: Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and support deployment on AWS. Collaborate with and mentor ML engineers, and contribute to technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning with a focus on Computer Vision (e.g., image classification, object detection, segmentation, image quality, generative models) Strong Computer Vision fundamentals Fairness & Ethics: Awareness of algorithmic bias and willingness to learn domain-specific fairness practices Strong Engineering: Strong proficiency in Python (Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code Systems Architecture: Experience designing or contributing to ML pipelines and familiarity with orchestration tools like Airflow Cloud Native: Experience with GPU-based training and deploying ML services on AWS Nice to Have Research Publications in top computer vision venues (CVPR, ICCV, ECCV) Large Scale Search: Familiarity with vector databases and ANN search Synthetic Data: Experience with GANs or diffusion models for data augmentation Mobile

We are looking for a passionate and energized engineer to accelerate the integration of APIs across the CUDA-X math library software stack into modern LLM and agentic AI workflows. Leading organizations globally are using GPU-powered data centers for AI, data analytics, and scientific simulations, driving advancements in fields like LLMs, computer vision, CAE, EDA, and autonomous vehicles. Our team develops the GPU-accelerated libraries and SDKs essential for these technologies. In this role, you will be responsible for ensuring both human engineers using LLMs and AI agents alike to build high-performance applications with ease through effective utilization of CUDA-X libraries. Do you have the rare blend of technical, developer experience and communication skills? If so, we would love to learn more about you! What You'll Be Doing: Drive the architecture and implementation of math libraries APIs and documentation structures designed to be LLM-first: introspectable, explainable, and easily synthesized by AI agents. Work with internal and external stakeholders to deliver timely LLM-enhanced library releases. Build metrics, tools and processes to measure impact and quality of LLM/agentic code generation. Prototype tooling and solutions to help transform math libraries’ APIs into LLM-friendly representations across popular codegen tools. What We Need To See: PhD or MSc’s degree in Computational Science, Computer Science, Applied Math, or related science or engineering field of study is preferred (or equivalent experience) 3+ years of experience Robust knowledge of LLMs, finetuning, RL, building RAGs, MCP, and building agenting tooling Proven experience designing clear, composable APIs and writing high-quality, well-documented code for complex technical domains Ability

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. At Roblox, we believe advanced research belongs in production, driving core algorithmic advances at a global scale. In this role, you’ll own high-impact projects end-to-end, from initial ideation to production deployment and academic publication, while solving complex, high-dimensional challenges at world-scale concurrency. Your expertise, across research areas including Computer Vision and Graphics, multimodality, NLP, or recommendation systems, will directly shape the experience for millions of daily active users. Come build the AI-driven infrastructure powering the future of immersive entertainment. You Will Prototype and implement advanced AI and machine learning solutions that drive core platform features and innovation at scale. Develop and deploy cutting-edge models (e.g., deep learning, generative AI, multimodal architectures) to solve complex, high-impact technical challenges. Collaborate with applied researchers, engineers, and product teams to translate advanced research concepts into production-ready systems. Translate complex research into scalable, robust infrastructure that directly impacts hundreds of millions of daily active users. Work backward from user and product

At Zoox, you will collaborate with a team of world-class engineers with diverse backgrounds in areas such as AI, robotics, mechatronics, planning, control, localization, computer vision, rendering, simulation, distributed computing, design, and automated testing. You’ll master new technologies while working on code, algorithms, and research to impact key systems to move Zoox forward. Responsibilities Lead the Sensor Change Playbook workflow, defining the validation process for our next-generation, low-cost vehicle platforms. Partner with PCP V&V to define the Autonomy Technical Specification (ATS) by identifying "bounding" (worst-case) scenarios, particularly those related to winter driving (e.g., heavy snow, ice, sensor occlusion). Work with PCP model owners to architect low-cost stacks that reduce reliance on expensive sensors and accommodate reduced compute (e.g., migrating from 8 GPUs to 1 Thor). Drive the Clearance MoC (Method of Compliance) process for hardware changes, balancing cost, compute constraints, performance and safety. Qualifications Deep expertise in the PCP Stack , multi-modality fusion, and optimizing architectures for severely constrained compute budgets. Experience in V&V (Validation & Verification) for safety-critical systems, specifically expanding into complex Operational Design Domains (ODDs) like winter weather. Proven ability to influence cross-functional stakeholders (SDMA, AHE, PCP) to align on cost vs. performance trade-offs. The ability or experience of managing or curating datasets for sensor validation or model training Bonus Qualifications Experience with Autonomy Technical Specifications (ATS) and defining winter/adverse weather bounding scenarios. Experience working with VLM’s. Ab

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Senior Software Engineer within the Creator Organization, you will develop innovative full-stack solutions that define the future of Roblox’s Content Understanding Platform. This platform processes billions of pieces of content—spanning 3D models, audio files, text, video, and entire experiences—extracting structured information about their meaning, context, and relationships. The Content Understanding Team develops cutting-edge AI models, advanced computer vision systems, and highly scalable backend platforms to power search, discovery, and moderation across Roblox. Your contributions will enable seamless asset discovery, automate moderation at scale, and drive transformative generative AI tools that reshape how millions of creators and users engage with Roblox. You Will: Solve full-stack challenges to improve how AI, creators, and users describe and get along with content, including images, 3D models, audio, text, and video. Craft and build scalable pipelines for training, evaluating, and deploying machine learning models to support content annotation and discovery. Develop robust backend systems to power real-time search, discovery, and powerful generative AI features. Blend innovat

Director of Engineering, Physical AI Role Overview The Director of Engineering will report to the General Manager of Physical AI, and will be responsible for leading a multi-disciplinary engineering organization. In this senior leadership role, you will own the execution of the Physical AI Data Engine — the platform powering the next generation of Physical AI/Embodied AI. You will collaborate closely with Operations and GTM to guide product direction and help solve the data bottleneck that stands between today's robotics research and real-world deployment. This role requires significant ownership in a fast-paced environment and you will motivate internal teams to set the pace for business growth. Travel will come into play. Key Responsibilities: Set and drive the technical vision across data collection infrastructure, teleoperation systems, ML training pipelines, model evaluation frameworks, annotation tooling, and research Lead a multidisciplinary engineering organization—spanning engineering managers, software engineers, ML engineers, and ML research scientists—while designing the organizational structure, talent strategy, and culture required to scale rapidly without compromising on quality or strategic alignment Maintain exceptional technical and operational excellence by deeply understanding team deliverables, asking incisive questions, identifying slipping standards early, and knowing precisely when to step in Drive cross-functional alignment across Engineering, Operations, and GTM on platform architecture, release processes, and shared priorities Collaborate with researchers and clients to architect and deliver scalable, production-grade data infrastructure tailored for complex robotics workloads Required Qualifications: Bachelor's degree in Engineering, Robotics, Computer Science, or a related technical field 8+ years of engineering experience in fast-paced environments, including 4+ years direct people management demonstrated history of recruiting, mentorin

Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. We’re looking for a Senior Staff Machine Learning Scientist to help us solve challenging problems to address emerging customer needs and behaviors. The ideal candidate can move fast but with high quality, and views the early stages of product development as a creative canvas and opportunity for high impact. About the role: Location: Remote-first (United States; BC & ON, Canada) Full-time Permanent Exempt Our cash compensation amount for this role ranges depending on the cost of labor of the geographic area. The ranges shared below may change if you are hired in another geographic location. United States (all figures cited below in USD and pertain to workers in the United States) Zone A: 232,000 - 290,000 Zone B: 217,600 - 272,000 Zone C: 204,800 - 256,000 Canada (All figures cited below in CAD and pertain to workers in ON & BC, Canada) 253,000 - 316,000 Please visit our Careers page for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. Application Information: Application deadline: applications accepted on an ongoing basis until position is closed and filled This posting is for a new position Reporting to the Director, Engineering As a Senior Staff Machine Learning Scientist, you’ll: Lead and drive ambitious research initiatives that advance the state of the art in computer vision, multimodal understanding, and visual generation. Develop novel models, algorithms, and training methodologies for challenging vision problems such as image understanding, video understanding, visual search, scene

Zoox has embarked on a highly ambitious journey to develop a full-stack autonomous mobility solution for our cities. As a technical program manager, you will work cross-functionally with engineering leaders across software, hardware, vehicle engineering, and product to drive our corporate strategy into tactical and detailed road maps that facilitate effective execution at each stage of our growth curve. You will work with each engineering team to develop project schedules, identify milestones, flag risks, estimate budgets, and clearly communicate ongoing progress. In this role, you will: Partner with engineering managers in the respective Autonomy team (Perception, Prediction & Behavioral ML, TeleGuidance, Planning & Controls, Collision Avoidance System) to translate the top-down corporate strategy and milestones into detailed product roadmaps, timelines, and deliverables Drive cross-functional teams across Autonomy teams to build and execute on solutions for improving our driving behavior Collaborate with engineering to figure out how best to develop the underlying measurements and datasets for Driving Behavior KPIs Highlight potential risks and proactively build out risk-mitigating actions Build and deliver executive presentations on program status, issues/risks, and accomplishments Qualifications BS/MS degree in computer science, engineering or equivalent job experience At least 6 years of experience in engineering program management Experience with AI/ML, autonomous vehicles, computer vision, large language models, reinforcement learning, simulation, and/or automotive or aerospace processes Strong track record of managing complex cross-functional projects and problem solving An ability to keep the big picture in focus and to provide clear, well-structured, and concise communications tailored to each appropriate audience Deep familiarity with software dev

Zoox has embarked on a highly ambitious journey to develop a full-stack autonomous mobility solution for our cities. As a technical program manager, you will work cross-functionally with engineering leaders across software, hardware, vehicle engineering, product and beyond to drive our corporate strategy into tactical and detailed road maps that facilitate effective execution at each stage of our growth curve. You will work with each engineering team to develop program schedules, identify milestones, flag risks, estimate budgets, and clearly communicate ongoing progress. In this role, you will: Own and drive Zoox's most complex, cross-organizational AI/ML programs, spanning multiple engineering teams and director-level+ stakeholders, from strategy through delivery Translate ambiguous, top-down corporate strategy into structured roadmaps, resolving conflicting priorities across teams before they become executive-level escalations Define and track program-level metrics, using data to proactively surface systemic risks and drive process improvements across the org Present program status, trade-offs, and recommendations directly to senior leadership, building credibility and alignment at the executive level Build and scale program management practices, tooling, and processes for the broader TPM function, and mentor other TPMs Qualifications BS/MS in computer science, engineering, technical field, or equivalent job experience 10-12+ years of experience in engineering program management, including experience owning programs spanning multiple orgs or director-level+ stakeholders Deep experience with AI/ML, autonomous vehicles, computer vision, reinforcement learning, simulation, and/or automotive or aerospace processes Demonstrated track record of resolving high-ambiguity, cross-organizational risks and driving alignment across senior leadership Experience building or scaling program managemen

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s fueled by great technology—and outstanding people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. Our team is looking for Senior System Engineers specializing in self-driving vehicle technology. As a senior member you will be responsible for integrating and maintaining end-to-end software with Sensing/Perception/Localization/Planning/Control included, ensuring its stable and safe deployment in the field. What you'll be doing: Develop and maintain the application as well as vital tools for autonomous driving Diagnose and tackle real exciting problems to provide the world with the best driving experience Vertical stack performance optimization What we need to see: BS/MS or higher in computer science or a related engineering field Excellent C and C++ programming 5+ years of relevant proven experience Experienced in developing system software in user space with capability digging into kernel and even low-level hardware Good understanding of Operating Systems, threading, synchronization and parallel computing to build highly efficient applications Familiar with underlying parallel architectures, CPU/GPU/DLA/DSP Excellent analytical, communication and collaboration skills in international organization Ways to stand out from the crowd: Software development experience with CUDA Prior experience in: Autonomous vehicles, Robotics, Computer Vision and/or ML Understa

Role Purpose We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on ex

At Kargo, our mission is to build a connective tissue between the physical world of freight and the digital ecosystem used to manage it. We believe that advancements in smart infrastructure are critical to enabling a safer and more efficient future for logistics. Our loading dock sensor platform verifies all incoming and outgoing freight, aggregating data that enables shippers and carriers to efficiently manage dock operations, switch out suppliers and understand material flow in real time. We care deeply about delivering the best solutions for our customers. As a member of the Kargo team, you will have the opportunity to develop and deploy tomorrow’s hardware & software solutions and help revolutionize logistics. Responsibilities Develop high-performance C++ software for machine vision and AI systems running on edge devices. Build and improve computer vision features using 3D perception and AI technologies. Help develop agentic AI systems to deploy, monitor, and manage a growing fleet of edge devices. Collaborate with senior engineers to improve the reliability, performance, and scalability of our edge platform. Troubleshoot, test, and optimize software running in real-world environments. Experience 1 to 2 years of professional, internship, or research experience in software engineering. Strong programming skills in C++ and python. Familiarity with Linux development environments. Experience through coursework, projects, internships, or research in one or more of the following: computer vision, machine learning or AI, robotics, or edge computing. Strong problem-solving skills and eagerness to learn new technologies. Degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or related field. Pay Range $130,000 — $150,000 USD Kargo is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards to race, color

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The AI Research team at Figma is working on the cutting edge of AI and Design. We work on optimizing agentic systems for design quality and end user experience. We build robust evaluators for Design and post-train models. We are a very collaborative, close-knit and impact-focused team of researchers and research engineers working on some of the most challenging technical problems at the intersection of AI and creativity. We are seeking PhD interns with expertise in machine learning and artificial intelligence to develop innovative AI solutions for design and creative products. Through both fundamental and applied research, your work will contribute to new AI-driven features in Figma products. This internship can take place in Winter 2027 or Summer 2027 in San Francisco or New York. What you’ll do at Figma: Drive fundamental and applied research in Generative AI with Figma product use cases in mind Formulate and implement new modeling approaches both to improve the effectiveness of Figma’s current AI models as well as enable the launch of entirely new AI-powered product features Explore the boundaries of what is possible with the current technology set and experiment with novel ideas Depending on your project, you may have the opportunity to publish your research in leading AI/ML conferences We'd love to hear from you if you have: Are a 4th or 5th year senior Ph.D student in AI, Machine Learning, Computer Vision, Natural Language Processing, Human Computer Interaction or a related field Pro

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