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44 open listings · Page 2 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
XPeng
Full-time · Santa Clara, CA · $174,720 – $295,680
XPENG is hiring a specialist to develop reinforcement learning controllers for humanoid robots, focusing on locomotion and whole-body motion using techniques like PPO and imitation learning. This role suits someone with a background in robotics or machine learning who wants to bridge simulation and real hardware in a fast-moving AI company.
Listed on XPeng’s careers site · Apply there ↗
Sigma Computing
Full-time · 2 locations · $270,000 – $305,000
Sigma is hiring a Staff-level AI/ML engineer to build the AI foundation powering their cloud data warehouse platform, focusing on production systems like recommendations, natural language interfaces, and agentic workflows. The role suits someone with 10+ years shipping complex ML systems who can prototype and scale AI features that reshape how thousands of enterprise users work with data.
Listed on Sigma Computing’s careers site · Apply there ↗
Together AI
Full-time · San Francisco, CA · $200,000 – $260,000
Senior ML engineer responsible for optimizing how Together AI serves voice models like Whisper and Parakeet on GPU hardware, with focus on inference latency, throughput, and production-grade reliability. Suits engineers with deep model-serving and infrastructure experience who want to shape a foundational product in real-time voice AI.
Listed on Together AI’s careers site · Apply there ↗
Krea AI
Full-time · San Francisco, CA
Krea is hiring a machine learning engineer to develop and train large-scale diffusion models for image and video generation, working on research that bridges AI capabilities with creative control. This role suits someone with a strong foundation in deep learning and distributed systems who wants to contribute to production-grade AI research at a well-funded creative AI company.
Listed on Krea AI’s careers site · Apply there ↗
Menlo Ventures Portfolio
Full-time · San Francisco, CA · $350,000 – $850,000
Anthropic seeks a Research Engineer to work across their full ML stack, tackling foundational challenges in building AI systems capable of scientific reasoning and complex problem-solving. This role bridges research and engineering, requiring deep expertise in language models, distributed systems, and performance optimization to scale prototypes into production systems.
Listed on Menlo Ventures Portfolio’s careers site · Apply there ↗
Cognition AI
San Francisco, CA
This role owns the core infrastructure systems that enable researchers to train and evaluate large AI models at scale, from distributed training across GPU clusters to experiment orchestration and data pipelines. It's for systems engineers who understand both the hardware-software stack deeply and the ML research enough to anticipate what researchers need before they ask.
Listed on Cognition AI’s careers site · Apply there ↗
Sigma Computing
Full-time · 2 locations · $240,000 – $270,000
Sigma is hiring an AI/ML Engineer to build machine learning systems that will power their data analytics platform's AI capabilities, including recommendations, natural language interfaces, and agentic workflows. This role suits engineers with 10+ years of production ML experience who want to work on high-impact systems at a well-funded, high-growth company.
Listed on Sigma Computing’s careers site · Apply there ↗
Intuit
Full-time · Mountain View, CA · $273,500 – $369,500
Lead AI science initiatives focused on marketing applications, building and deploying machine learning models that drive customer value at scale. This role suits experienced ML leaders who combine deep technical expertise in machine learning or statistics with the ability to influence business strategy and mentor teams across the organization.
Listed on Intuit’s careers site · Apply there ↗
XPeng
Full-time · Santa Clara, CA · $244,140 – $413,160
XPENG is hiring a senior machine learning engineer to lead the development of vision-language-action models and world models for autonomous driving at scale. This role suits someone with deep expertise in foundation models and reinforcement learning who can architect end-to-end systems balancing research innovation with production-vehicle requirements.
Listed on XPeng’s careers site · Apply there ↗
Together AI
Full-time · San Francisco, CA · $200,000 – $300,000
A Machine Learning Engineer role optimizing AI inference systems at scale, building production systems for large language models using PyTorch. This suits engineers with deep systems knowledge who want to work on the infrastructure powering AI applications.
Listed on Together AI’s careers site · Apply there ↗
Intuit
2 locations · $180,000 – $243,500
This role leads the development of AI-driven financial recommendation systems that predict member needs across credit products and other financial services. It suits experienced machine learning engineers who want to bridge data science with business impact at scale, working across teams to ship production models that balance revenue with customer lifetime value.
Listed on Intuit’s careers site · Apply there ↗
XPeng
Full-time · Santa Clara, CA · $174,720 – $295,680
This role involves building and optimizing large-scale vision-language-action foundation models that form the core of XPENG's autonomous driving systems. You'll design multi-modal architectures, lead pretraining strategies on massive fleet data, and collaborate across research and infrastructure teams to deploy intelligent models for next-generation vehicles.
Listed on XPeng’s careers site · Apply there ↗
Intuit
Oakland, CA · $209,500 – $283,500
Credit Karma seeks a Staff AI Scientist to lead machine learning initiatives that improve financial recommendations and monetization across their platform. This role suits someone with extensive ML expertise and strong communication skills who can drive cross-functional projects that directly impact millions of users' financial outcomes.
Listed on Intuit’s careers site · Apply there ↗
XPeng
Full-time · Santa Clara, CA · $215,280 – $364,320
XPeng is seeking a machine learning engineer to develop vision-language-action foundation models for autonomous driving systems, working with massive datasets and distributed computing infrastructure. This role suits researchers and practitioners with deep learning expertise who want to shape next-generation self-driving technology.
Listed on XPeng’s careers site · Apply there ↗
Intuit
Mountain View, CA · $209,500 – $283,500
This is a Staff-level AI scientist role focused on building and scaling generative AI infrastructure and capabilities across Intuit's product suite. The ideal candidate has deep expertise in LLMs, agentic AI systems, and production ML deployment, and will lead cross-functional efforts to advance Intuit's AI platform while embedding responsible AI principles.
Listed on Intuit’s careers site · Apply there ↗
Intuit
Mountain View, CA · $273,500 – $369,500
A senior machine learning researcher role leading the development of AI standards, evaluation methodologies, and foundation models across Intuit's organization. This suits experienced data scientists ready to combine hands-on modeling with technical leadership and cross-functional collaboration at scale.
Listed on Intuit’s careers site · Apply there ↗
Intuit
Mountain View, CA · $203,000 – $284,500
Lead machine learning systems from end-to-end—feature pipelines, model training, deployment, and monitoring—for a consumer platform that processes millions in business value. This role suits a seasoned ML engineer who can set technical standards, mentor teammates, and evolve shared infrastructure while directly shipping models that drive measurable impact.
Listed on Intuit’s careers site · Apply there ↗
Intuit
3 locations · $165,500 – $243,500
Intuit seeks an AI scientist to build and deploy machine learning models that power fraud detection, security, and personalization across their product suite. This role suits someone who enjoys hands-on data work, from ETL and feature engineering through experimentation and statistical validation, and who can communicate technical findings to non-technical stakeholders.
Listed on Intuit’s careers site · Apply there ↗
Intuit
4 locations · $202,500 – $274,000
A Staff Machine Learning Engineer will design, build, and deploy data science models at scale within Intuit's data science team, working across the full pipeline from data preparation through A/B testing and impact analysis. This role suits experienced ML engineers comfortable with the mathematical foundations of machine learning and production software engineering practices who want to work on problems serving millions of users.
Listed on Intuit’s careers site · Apply there ↗