Turn on analytics and we load Google Analytics: Google gets the pages you open and what you do here — searches, jobs you view, jobs you apply to — and sets its own cookies. Leave it off and the only cookies we set are your login, your theme, and this answer. Accept All also records a yes to advertising, which nothing uses yet. Privacy Policy.
44 open listings · Page 1 of 2
Roles posted by organizations here, alongside roles we found on employers’ own careers sites. Crawled roles say so on the card and send you to the employer to apply. Only show organizations on Career App
Sigma Computing
Internship · 2 locations · $80 – $90 / hour
Sigma seeks a PhD student in AI/ML to conduct research and build production systems spanning search, recommendations, NLP, and agentic workflows that will power their data analytics platform. The role suits researchers excited to move work from concept through deployment at a well-funded, fast-growing company.
Listed on Sigma Computing’s careers site · Apply there ↗
Intuit
Mountain View, CA · $226,000 – $306,000
This role leads the design and deployment of credit and fraud risk models for Intuit's consumer lending and banking products, affecting hundreds of thousands of customers. It suits an experienced AI scientist comfortable moving between hands-on modeling work and team leadership, who can navigate regulatory requirements and partner with product and engineering to ship risk solutions at scale.
Listed on Intuit’s careers site · Apply there ↗
Motorola Solutions
Los Angeles, CA
Listed on Motorola Solutions’s careers site · Apply there ↗
KLA-Tencor
Full-time · Milpitas, CA · $136,300 – $231,700
KLA seeks a deep learning engineer to advance computer vision and image processing for semiconductor manufacturing inspection systems. This role involves developing and optimizing state-of-the-art models across the full lifecycle, from conception through deployment, for a leader in process control technology.
Listed on KLA-Tencor’s careers site · Apply there ↗
XPeng
Full-time · Santa Clara, CA · $179,400 – $303,600
This role involves designing and implementing reinforcement learning algorithms for autonomous vehicle planning, working with computer vision and software engineering teams to deploy real-time AI solutions. It suits experienced ML engineers who want to apply advanced techniques to production autonomous driving systems.
Listed on XPeng’s careers site · Apply there ↗
Voyager
Full-time · El Segundo, CA · $120,000 – $170,000
This role develops deep learning and machine learning models for computer vision, radar, and geospatial applications serving U.S. government customers. It suits engineers with 0–5 years of experience who want to apply neural networks to real-world defense and space challenges.
Listed on Voyager’s careers site · Apply there ↗
AeroVironment
Full-time · San Diego, CA · $123,500 – $188,500
A machine learning engineer role focused on developing detection algorithms for Counter-UAS systems, working with signal processing and large RF datasets to identify drone threats. Suited for someone with a strong foundation in DSP and deep learning who wants to solve real-world defense challenges at the intersection of signal processing and MLOps.
Listed on AeroVironment’s careers site · Apply there ↗
SAP
Full-time · Palo Alto, CA · $247,000 – $420,000
This role leads a machine learning engineering team building AI capabilities into SAP's enterprise applications, combining large language models with business knowledge graphs. You'll architect solutions, mentor developers, and guide proof-of-concept projects while staying hands-on with backend infrastructure and cloud technologies.
Listed on SAP’s careers site · Apply there ↗
NVIDIA
3 locations · $184,000 – $287,500
NVIDIA is seeking a Senior Deep Learning Scientist to develop multimodal agentic AI systems that reason and act across audio, visual, and text modalities. This role suits researchers with deep expertise in reinforcement learning and foundation models who want to shape core algorithms for large-scale AI products used by millions.
Listed on NVIDIA’s careers site · Apply there ↗
Unity
Full-time · 3 locations · $218,400 – $283,900
This role involves optimizing state-of-the-art AI models to run efficiently on mobile and desktop devices within a browser-native runtime, handling everything from model export through kernel-level tuning to shipped features. It's ideal for a performance-focused engineer who thrives on closing the gap between research models and production on-device products, working with transformers, diffusion networks, and vision-language models across constrained hardware.
Listed on Unity’s careers site · Apply there ↗
NIO
Internship · San Jose, CA · $38 – $46 / hour
This internship focuses on optimizing large language models and multimodal models for efficient inference and deployment in NIO's autonomous vehicle systems. It suits recent computer science graduates or master's students with strong foundations in deep learning, GPU optimization, and systems-level thinking who want to bridge AI research with real automotive applications.
Listed on NIO’s careers site · Apply there ↗
Cognition AI
San Francisco, CA
This role focuses on optimizing large language models during the critical mid-training phase, where base models are refined for reasoning and reliability. You'll design data strategies, manage training schedules, and develop synthetic data pipelines that directly determine what AI agents can accomplish in production.
Listed on Cognition AI’s careers site · Apply there ↗
Labelbox
Full-time · San Francisco, CA · $250,000 – $280,000
Build infrastructure and systems that enable frontier AI labs to train and evaluate agentic models, bridging high-throughput platform engineering with deep reinforcement learning expertise. This role combines designing RL environments and reward systems, implementing verification and grading pipelines, and scaling fine-tuning infrastructure for teams pushing the boundaries of AI agents.
Listed on Labelbox’s careers site · Apply there ↗
Taskrabbit
Full-time · San Francisco, CA · $170,000 – $225,000
Staff-level machine learning engineer to own the architecture and reliability of Taskrabbit's core ranking system, which matches task requesters with Taskers. You'll define system direction, mentor junior engineers, and partner cross-functionally with product and data science teams on one of the company's most consequential ML systems.
Listed on Taskrabbit’s careers site · Apply there ↗
Anyscale
San Francisco, CA · $170,000 – $199,000 · Remote
A technical support role helping customers deploy and optimize machine learning workloads on Anyscale's distributed computing platform. Suits experienced ML practitioners who enjoy troubleshooting complex infrastructure issues and working across customer and engineering teams.
Listed on Anyscale’s careers site · Apply there ↗
Together AI
Full-time · San Francisco, CA · $220,000 – $280,000
This role leads the model serving infrastructure for real-time voice AI applications, optimizing how large language and speech models run on GPU hardware with minimal latency. It suits experienced ML engineers who have shipped inference systems at scale and want to shape the technical direction of a fast-growing voice platform.
Listed on Together AI’s careers site · Apply there ↗
Menlo Ventures Portfolio
Full-time · San Francisco, CA · $500,000 – $850,000
Lead the development of evaluation systems for production large language models at Anthropic, focusing on measurement quality and providing observability into post-training processes. This role suits experienced ML researchers or engineers who care deeply about benchmarking rigor and can advise teams across a complex organization on evaluation methodology.
Listed on Menlo Ventures Portfolio’s careers site · Apply there ↗
Agility Robotics
Full-time · Fremont, CA · $207,000 – $323,000
A staff-level machine learning engineer role focused on building perception systems for deployed humanoid robots operating in warehouses and manufacturing. This position suits engineers with deep expertise in object detection and tracking who want to own the full technical architecture of computer vision systems deployed on real robots at scale.
Listed on Agility Robotics’s careers site · Apply there ↗
Eight Sleep
Full-time · San Francisco, CA
This role involves building machine learning systems that personalize sleep experiences through predictive models, foundation model applications, and behavior analysis. It suits engineers who enjoy owning projects end-to-end from research through production deployment and want to work on consumer health technology.
Listed on Eight Sleep’s careers site · Apply there ↗
Krea AI
Full-time · San Francisco, CA
Krea is seeking an ML engineer to design and implement a personalization and recommendation system for their creative AI tools from scratch. This role combines recommendation systems, representation learning, and generative models, ideal for someone who wants significant technical ownership in a creative AI company.
Listed on Krea AI’s careers site · Apply there ↗
Voyager
2 locations · $160,000 – $210,000
This role involves developing deep learning and machine learning systems for computer vision, radar, and geospatial analysis to support U.S. government defense and national security missions. It suits experienced ML engineers comfortable with physics-based signal processing, neural network architectures, and working in a small, mission-driven environment.
Listed on Voyager’s careers site · Apply there ↗
SAP
Full-time · Newport Beach, CA · $131,000 – $271,600
This role leads the design and production deployment of multi-agent AI systems that automate business processes for SAP's enterprise customers. You'll architect agent orchestration, build evaluation frameworks, and mentor engineers on a global team working on specialized foundation models and autonomous workflows.
Listed on SAP’s careers site · Apply there ↗
NIO
Full-time · San Jose, CA · $143,200 – $186,000
NIO seeks an engineer to research and optimize large language models and multimodal models for efficient inference and deployment in electric vehicles, particularly in digital cockpit and autonomous driving systems. This role combines algorithmic research with systems-level optimization across heterogeneous hardware, suited to someone with strong foundations in deep learning, GPU architecture, and a track record in model optimization.
Listed on NIO’s careers site · Apply there ↗
Cognition AI
San Francisco, CA
A research engineer position focused on post-training techniques that bridge raw model capabilities to production-ready AI agents. The role combines ML research and engineering to develop training recipes, evaluation frameworks, and alignment methods that determine what AI systems can actually accomplish in the real world.
Listed on Cognition AI’s careers site · Apply there ↗
Intuit
8 locations
Intuit is hiring a Staff AI Scientist to build credit risk models for their Consumer Lending products, including tax refund advances and buy-now-pay-later offerings. This role suits experienced ML practitioners who want to own the full model lifecycle in fintech and work on high-impact lending decisions affecting hundreds of thousands of customers.
Listed on Intuit’s careers site · Apply there ↗