The Computer Vision AI & ML Engineer will develop and optimize deep learning models for robotics perception systems, collaborating across teams to integrate models and evaluate performance.
Company Overview
Position OverviewAt Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.
We are seeking a Computer Vision AI & ML Engineer to design, build, and deploy advanced perception systems for real-world robotics and automation. You will work across the full machine learning lifecycle—model development, data strategy, evaluation, and production integration—to deliver robust, high-performance vision capabilities. This role combines applied research with hands-on engineering and offers the opportunity to influence both architecture and roadmap decisions.
Responsibilities- Develop and optimize deep learning models for depth estimation, object detection, segmentation, tracking, and 3D scene understanding using multi-modal sensor data.
- Build scalable pipelines for data processing, training, evaluation, and deployment into real-world and real-time systems.
- Design labeling strategies and tooling for automated annotation, QA workflows, dataset management, augmentation, and versioning.
- Implement monitoring and reliability frameworks, including uncertainty estimation, failure detection, and automated performance reporting.
- Conduct proof-of-concept experiments to evaluate new algorithms and perception techniques; translate research insights into practical prototypes.
- Collaborate with robotics, systems, and simulation teams to integrate perception models into production pipelines and improve end-to-end performance.
- Strong experience with deep learning frameworks (PyTorch, TensorFlow, or JAX).
- Background in computer vision tasks such as detection, depth estimation, segmentation, tracking, or 3D scene understanding.
- Proficiency in Python; familiarity with C++ is a plus.
- Experience building training pipelines, evaluation frameworks, and ML deployment workflows.
- Knowledge of 3D geometry, sensor processing, or multi-sensor fusion (RGB-D, LiDAR, stereo).
- Experience with data annotation tools, dataset management, and augmentation techniques.
- Familiarity with robotics, simulation environments (Isaac Sim, Gazebo, Blender), or real-time systems.
- Understanding of uncertainty modeling, reliability engineering, or ML monitoring/MLOps practices.
Skild AI San Francisco, California, USA Office
San Francisco, California , United States
Similar Jobs
Cloud • Fintech • Information Technology • Machine Learning • Software • App development • Generative AI
Leads the design, development, testing, deployment, and scaling of cloud-based backend platforms, distributed services, data integrations, APIs, and microservices. Drives architecture and technical decisions, ensures software quality and security, mentors engineers, conducts code reviews, researches technologies, and supports maintenance and releases. Builds extensible connectors for ERP, banking, payments, tax, and subledger systems while optimizing data transfer scalability and reliability.
Top Skills:
Api GatewayAWSAzureC#C++Erp SystemsETLEvent-Driven ArchitectureGCPIdentity ManagementJavaJob SchedulingKafkaMicroservicesMicrosoftNetSuiteNoSQLOracleRabbitMQRestful ApisSAPSearchSQLWorkflow Orchestration
Big Data • Cloud • Software • Database
Executive Assistant role with responsibilities and qualifications not provided. The posting is for U.S.-based candidates and includes a stated base salary range of $0.01 to $0.01, along with potential equity, benefits, paid leave, retirement, and health support.
3D Printing • Aerospace • Hardware • Software • Manufacturing
Supports daily office and operational needs by moving and staging equipment, assembling furniture, preparing workstations, stocking supplies, assisting with onboarding and events, completing tickets and checklists, and maintaining safe, organized workspaces. The role requires prompt issue escalation, flexibility for shifting priorities, occasional overtime or weekend work, and the ability to lift up to 40 pounds. Responsibilities span office, shop, and operational environments.
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
