Senior Software Engineer, AI Infrastructure - LVM Inference & Evaluation Ambient.aiSenior Software Engineer, AI Infrastructure - LVM Inference & EvaluationRedwood City, CaliforniaPowered by Ambient Pulsar, the first reasoning Vision-Language Model purpose-built for physical security, our platform seamlessly integrates with existing security cameras and physical access control systems to unify monitoring, access control, threat assessment, response, and investigations through an always-on reasoning layer that augments security operators with superhuman capabilities. Hands-on experience running deep learning models in production, ideally including LLMs, LVMs, vision-language models, or multimodal models.
Senior / Staff Software Engineer, Mapping WaabiSenior / Staff Software Engineer, MappingSan Francisco, CA$141,000–$242,000 / yearWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. We are looking for a strong software generalist who thrives on variety, can easily pivot across different projects, and tackles complex distributed systems problems from data ingestion to real-time serving.
AI Research Engineer Recruiting From ScratchAI Research EngineerSan Francisco, CaliforniaWe're representing one of the leading companies in the AI infrastructure ecosystem, building the tools that enable developers and enterprises to create intelligent agents capable of understanding and acting on complex documents. Their platform combines state-of-the-art document processing, retrieval systems, and agent frameworks that power mission-critical workflows across financial services, consulting, healthcare, and other enterprise industries.
Senior ISP Engineer General Motors CoSenior ISP EngineerSan Francisco, CA$174,900–$250,200 / yearDesign and execute comprehensive objective and subjective image quality evaluations using lab charts and real-world scenes, selecting appropriate metrics and analyses for each, leveraging tools such as Imatest and other chart/scene-based analysis methods, and developing GM-specific test scripts and IQ specification analysis tools. You will interact with camera hardware engineers, embedded software engineers, systems engineers, Embodied AI engineers, technical program managers internally, and various external imager component vendors to ensure high-quality cameras are designed, manufactured, and tuned.
Senior Software Engineer, AI Infrastructure - LVM Inference & Evaluation Ambient AI IncSenior Software Engineer, AI Infrastructure - LVM Inference & EvaluationRedwood City, CAPowered by Ambient Pulsar, the first reasoning Vision-Language Model purpose-built for physical security, our platform seamlessly integrates with existing security cameras and physical access control systems to unify monitoring, access control, threat assessment, response, and investigations through an always-on reasoning layer that augments security operators with superhuman capabilities. Hands-on experience running deep learning models in production, ideally including LLMs, LVMs, vision-language models, or multimodal models.
ML Engineer - Healthcare Foundation Model Developer Stanford UniversityML Engineer - Healthcare Foundation Model DeveloperStanford, CAPerform supervisory duties, including overseeing the work of technicians and other staff associated with the group/project, supervising the regular installation, maintenance, and operation of complex scientific or engineering projects, and training technicians, operators, and others working in particular scientific or engineering function area. They will develop robust, modular systems for training, evaluation, and inference that can support a range of downstream applications, and will help guide technical decisions around the languages, tools, platforms, and engineering practices used across data and software projects.
Research Engineer, Multimodal Reasoning For Information Literacy DeepMindResearch Engineer, Multimodal Reasoning For Information LiteracyMountain View, CAYou'll join an interdisciplinary team of domain experts, ML researchers, and engineers to research and build multimodal reasoning systems and Vision-Language Models (VLMs) to assess the trustworthiness of media (images, audio, and videos) on the internet. Experience in software development using Python and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch), with a proven track record of building high-quality research prototypes and systems.
ML Engineer - Instawork Robotics InstaworkML Engineer - Instawork RoboticsSan Francisco, CA$170,000–$200,000 / yearForbes included us on their Next Billion Dollar Startups list; RetailTech Breakthrough named us Workforce Hiring Solution of the Year for 2025; and Inc. 5000 recognized us as one of the country's top 10% fastest-growing companies two years in a row. With hubs in San Francisco, Bangalore, and Chicago, city offices in New York, Phoenix, and Singapore, we're back to working together in-person five days a week because we believe the best ideas happen when great people collaborate face-to-face.
AI Engineer - Algorithm Evaluation & Agentic Systems Apple IncAI Engineer - Algorithm Evaluation & Agentic SystemsSunnyvale, CAWhat We Value Production mindset: correctness, observability and maintainability Ability to reason about system-level tradeoffs, not just model performance Ability to balance experimentation speed with engineering rigor Comfort working in ambiguous problem spaces and defining metrics from first principles Clear communication of technical findings to both technical and non-technical audiences Within the DAQ team, our core mission is to evaluate and elevate advanced visual technologies. Agentic Architecture: Build, deploy, and evaluate agentic workflows that utilize these vision models to autonomously solve multi-step user problems (e.g., video summarization, visual search).
Senior Software Engineer, Backend AI Agent Cresta Intelligence, IncSenior Software Engineer, Backend AI AgentCA$205,000–$270,000 / yearOur platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. • Collaborate with cross-functional teams including frontend engineers, machine learning engineers to ensure seamless integration of AI Agents into Cresta's customer solutions.
Senior ISP Engineer General MotorsSenior ISP EngineerSan Francisco, CA$174,900–$250,200 / yearDesign and execute comprehensive objective and subjective image quality evaluations using lab charts and real-world scenes, selecting appropriate metrics and analyses for each, leveraging tools such as Imatest and other chart/scene-based analysis methods, and developing GM-specific test scripts and IQ specification analysis tools. You will interact with camera hardware engineers, embedded software engineers, systems engineers, Embodied AI engineers, technical program managers internally, and various external imager component vendors to ensure high-quality cameras are designed, manufactured, and tuned.
NewForward Deployed Engineer, AI Training Data (Redwood City, CA) LavendoForward Deployed Engineer, AI Training Data (Redwood City, CA)Redwood City, CaliforniaCustomers see results that speak for themselves: 7x–40x faster training, model performance equivalent to training on 10x more raw data, and smaller models (with less than half the parameters) that outperform larger ones and substantially cut deployment costs. 5–10 years of experience in a post-sales individual-contributor capacity, owning customer deployments as a Forward Deployed Engineer, Post-Sales Solutions Engineer/Architect, Implementation Engineer, Machine Learning Engineer, or customer-facing engineer.
Research Engineer, Learnable Planner (Integration) WaabiResearch Engineer, Learnable Planner (Integration)San Francisco, CA$159,000–$296,000 / yearIntegrate cutting-edge ML models in production planning stack from development to validation, deployment, and monitoring - Develop necessary interfaces and pipelines in simulation for testing prototype or production planning models - Work closely with motion planning sub-teams and research scientists to improve our planner architecture and develop rich and novel representations that can facilitate end-to-end solutions - Champion engineering excellence, ensuring high-quality, well structured and tested code. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way.
Deep Learning Compiler Engineer (New Grad) QuadricDeep Learning Compiler Engineer (New Grad)Burlingame, CALicensed as IP, the architecture is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. As a new-grad Deep Learning Compiler Engineer, you will work on CGC, Quadric's neural network compiler that lowers ONNX models through Relay IR down to C++ targeting the Chimera GPNPU.
Principal ML Engineer (Applied/Systems) SorisPrincipal ML Engineer (Applied/Systems)San Francisco, CaliforniaThis is a leadership-oriented/cross-functional role for a seasoned engineer with deep expertise building proprietary models and turning them into robust, scalable production systems that serve real-world needs. Rapidly experiment with large language models (LLMs), computer vision systems, NLP pipelines, and other ML techniques; validate results and productionize successful approaches.
Engineering Manager - Data Intelligence Applied Intuition IncEngineering Manager - Data IntelligenceSunnyvale, CA$204,000–$343,000 / yearYour team will work across three key areas: Data Quality, where we build systems to measure, validate, and improve the integrity of our datasets; Labeling Workflows, where we design intelligent annotation pipelines that combine human expertise with AI-powered automation; and Data Mining, where we surface rare, high-value driving scenarios from massive multi-modal fleet data. As an Engineering Manager on the Data Intelligence team, youll lead a world-class group of engineers focused on revolutionizing how we produce, curate, and leverage high-quality data to accelerate autonomy development.
Senior Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles NVIDIA CorpSenior Perception Engineer, Obstacle Foundation Models - Autonomous VehiclesSanta Clara, CAHands-on experience architecting and deploying DNN-based perception pipelines on embedded or real-time platforms, including optimization for latency, memory, and compute constraints, and experience with modern architectures such as CNNs and transformers, plus familiarity with techniques like large-scale pretraining, parameter-efficient fine-tuning (e.g., LoRA), or vision-language models (VLMs). Contribute to the data strategy for perception: specify data and labeling requirements, help prioritize data collection and annotation, and collaborate with data and ground-truth teams, including model-assisted workflows (e.g., active learning, auto-labeling, vision-language models (VLMs)) and model-in-the-loop tooling.
AI Resident - Learning From Videos (Lfv) Toyota Research InstituteAI Resident - Learning From Videos (Lfv)Los Altos, CA$45–$60 / hourOur approach emphasizes training scalability: by learning from multiple modalities, models can develop useful data-driven priors about 3D geometry, physics, and dynamics for world understanding. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information.
AI Resident - Learning From Videos (LFV) Toyota Research InstituteAI Resident - Learning From Videos (LFV)Los Altos, CA$45–$60 / hourOur approach emphasizes training scalability: by learning from multiple modalities, models can develop useful data-driven priors about 3D geometry, physics, and dynamics for world understanding. Large-scale training of multi-modal deep learning methods, both in terms of dataset sizes and model complexity, context length extension, and efficient attention, distributed computing, etc.
Research Engineer, Cybersecurity RL (Reinforcement Learning) AnthropicResearch Engineer, Cybersecurity RL (Reinforcement Learning)San Francisco, CAFor example, you might be a white hat hacker who's curious about how LLMs could augment or transform your work, a security engineer interested in how AI could help harden systems at scale, or a detection and response professional wondering how models could enhance defensive workflows. Your work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers, engineers, and cybersecurity specialists across and outside Anthropic.