Machine Learning Engineer, LLM Post-Training NewsBreakMachine Learning Engineer, LLM Post-TrainingMountain View, CA$150,000–$230,000 / yearDesign, build, and curate the data that drives each training stage — instruction/SFT datasets, preference pairs, reward signals, on-policy rollouts, and rejection-sampled completions — and define data-preparation strategies tailored to specific business needs. Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work® certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale.
Software Engineer Intern (AI Infrastructure / Training / Inference) SpreeAISoftware Engineer Intern (AI Infrastructure / Training / Inference)San Francisco, CaliforniaThis role exists because modern generative and vision models require infrastructure beyond traditional backend engineering — including GPU orchestration, large-scale inference systems, performance optimization, and developer platforms that allow applied scientists to move fast without sacrificing reliability or cost efficiency. Your design work will directly impact how thousands (eventually millions) of people experience shopping with SPREEAI – no bureaucratic layers, your ideas can go live and make a difference immediately.
NewResearch Engineer - The Diffusion LLM Team Institute of Foundation ModelsResearch Engineer - The Diffusion LLM TeamSunnyvale, CAStrategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. You will work closely with researchers and engineers across architecture, training, and infrastructure to turn research ideas into high-impact model releases for next-generation LLMs.
Senior Machine Learning Engineer NvidiaSenior Machine Learning EngineerSanta Clara, CAWays to Stand Out From the Crowd: Multi-sensor fusion, LiDAR or Camera Perception Experience: Proven track record of developing and shipping deep learning models for LiDAR/Camera and Multi-Sensor Fusion in a production environment. What You'll Be Doing: Model Development: Design, train, and optimize innovative machine learning models for LiDAR/camera perception and multi-sensor fusion (e.g., object detection/classification, image classification, semantic segmentation, tracking).
Machine Learning Engineer, Level 4 SnapMachine Learning Engineer, Level 4Palo Alto, California$173,000–$259,000 / yearThe Company operates Snapchat , a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc. , a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji , Saturn, and other digital services. 3+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 2+ year of post-grad machine learning experience; or PhD in a relevant technical field.
Backend Engineer HeygenBackend EngineerSan Francisco, CA$170,000–$220,000 / yearHeyGen considers factors such as scope and responsibilities of the position, candidate's work experience, education/training, key skills, and internal equity, as well as location, market and business considerations when extending an offer. Database Management: Design and manage database schemas, ensure efficient data storage, and optimize queries for maximum performance.
Machine Learning Engineer, Level 5 SnapMachine Learning Engineer, Level 5Palo Alto, California$209,000–$313,000 / year5+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience. The Company operates Snapchat , a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc. , a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji , Saturn, and other digital services.
NewPrincipal, Machine Learning Engineer Lila SciencesPrincipal, Machine Learning EngineerSan Francisco, California$252,000–$374,000 / yearYou will shape the technical direction for how ML models are trained, evaluated, and deployed at scale, collaborate closely with AI scientists and experimental researchers to close the computational–experimental loop, and drive Lila's ML infrastructure toward the next generation of capabilities. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
Senior Machine Learning Engineer, End‑To‑End Autonomous Driving NvidiaSenior Machine Learning Engineer, End‑To‑End Autonomous DrivingSanta Clara, CAYou will help build, train, and deploy large‑scale E2E driving models that leverage VLM/VLA architectures, and build a data flywheel that continuously improves our systems in the real world! Ways to stand out from the crowd: Experience building and operating data flywheels or large‑scale data pipelines for ML, including data quality monitoring and continuous retraining loops.
Senior Software Engineer, Motion Planning PlusAI Inc.Senior Software Engineer, Motion PlanningSanta Clara, CA$150,000–$190,000 / yearResponsibilities: Design, develop and deploy motion planning software to support PlusAI's planning, using the latest techniques in lateral and longitudinal motion planning. If you're ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.
Member of Technical Staff (Software Engineer) Cerebras SystemsMember of Technical Staff (Software Engineer)Sunnyvale, CaliforniaThis role focuses on deploying and optimizing scalable inference services, collaborating with cross-functional teams, and ensuring reliable, production-ready machine learning infrastructure. Author detailed technical documentation for infrastructure configurations, inference workflows, and APIs, ensuring clarity for internal teams and external customers.
Neural Graphics Engineer NvidiaNeural Graphics EngineerSanta Clara, CAWe reach millions of developers and creators through products like Alpasim, open platforms like Slang, our shader language and compiler for portable GPU programming. Ways to Stand Out from the Crowd: Hands-on experience with neural rendering (NeRF, Gaussian splatting, differentiable rendering) or generative AI for 3D content.
Devops Engineer EncordDevops EngineerSan Francisco, CAObservability Instrument services with distributed tracing, logging, and metrics (Prometheus, Grafana, OpenTelemetry, GCP Dashboards or similar); build infrastructure, define best practices, and work with each squad to ensure every service is observable before it goes to production. CI/CD & Deployment Own and continuously improve deployment pipelines; partner closely with developers to review infrastructure changes, streamline release processes, and champion DevOps best practices across the engineering group.
DevOps Engineer EncordDevOps EngineerSan Francisco, CaliforniaObservability Instrument services with distributed tracing, logging, and metrics (Prometheus, Grafana, OpenTelemetry, GCP Dashboards or similar); build infrastructure, define best practices, and work with each squad to ensure every service is observable before it goes to production. CI/CD & Deployment Own and continuously improve deployment pipelines; partner closely with developers to review infrastructure changes, streamline release processes, and champion DevOps best practices across the engineering group.
Engineering Manager - Data Intelligence Applied IntuitionEngineering Manager - Data IntelligenceSunnyvale, CaliforniaYour 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. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C. San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo.
Principal Software Engineer, Data Lila SciencesPrincipal Software Engineer, DataSan Francisco, Massachusetts$204,000–$348,000 / yearWe are seeking Principal Software Engineers with backend experience to join our Data Platform Team (Data), where you’ll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
Staff ML Engineer, Autonomy & Planning Knightscope Inc.Staff ML Engineer, Autonomy & PlanningSunnyvale, CA$240,000–$275,000 / yearDeep expertise in one or more areas: behavior planning and policy execution, imitation learning or reinforcement learning for real-world robot control, end-to-end learned autonomy systems, or large-scale ML for real-time decision making. Knightscope (NASDAQ: KSCP) is a security technology company building the nation's first Autonomous Security Force - autonomous machines, AI-driven software, and elite security professionals operating as one integrated managed service.
Staff Software Engineer SuperDialStaff Software EngineerBurlingame, CaliforniaYou’ll play a critical role in designing high-performance backend services, APIs, and platform components that power real-time voice and automation tools used by healthcare providers across the country. We specialize in voice and LLM-powered solutions for revenue cycle management — helping clinics and health systems operate faster, smarter, and more efficiently.
Sr. Distinguished AI Engineer (Remote Eligible) Capital OneSr. Distinguished AI Engineer (Remote Eligible)San Francisco, CaliforniaRemoteBachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies. Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
Customer-Facing Applied AI Engineer Landing AICustomer-Facing Applied AI EngineerMountain View, CA$175,000–$225,000 / yearWe have been early builders of agentic AI systems and have applied that work in the real world through Agentic Document Extraction (ADE), our platform for parsing, understanding, and extracting information from complex documents with traceability, control, and production-grade reliability. As an Applied AI Engineer, you will design and implement state-of-the-art document AI solutions, lead pre-sales technical efforts, and ensure successful deployments that drive measurable business outcomes for customers.