58 open listings · Page 2 of 3
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
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Senior AI/ML Engineer - Agentic AI
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 ↗
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Senior Machine Learning Engineer, Ads Modeling
Unity
Mountain View, CA · $160,000 – $250,000
Senior machine learning engineer role focused on building and improving ad recommendation models for Unity's advertising platform using deep learning and user behavior data. Suits experienced ML practitioners who want to work on high-scale, real-world problems and see their research move into production.
Listed on Unity’s careers site · Apply there ↗
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LLM Algorithmic Optimization Engineer
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 ↗
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Research Engineer, Post-Training
Cognition AI
San Francisco, CA
This role involves developing and refining the training methods that turn raw AI models into effective agents, focusing on post-training techniques like reinforcement learning from human feedback and evaluation design. It suits researchers and engineers with a track record in ML systems optimization who thrive in fast-moving, ambiguous environments where research and product development move together.
Listed on Cognition AI’s careers site · Apply there ↗
Staff AI Scientist
Intuit
6 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 ↗
Choose a location to apply
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Staff Machine Learning Engineer - Ranking System
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 ↗
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Senior AI/ML Engineer
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 ↗
Choose a location to apply
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Staff AI Engineer, Perception
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 ↗
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Senior Machine Learning Engineer, Voice AI
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 ↗
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Machine Learning Engineer
Krea AI
Full-time · San Francisco, CA
This role involves building and training large-scale diffusion models for image and video generation at an AI creative tools startup. It suits machine learning engineers with hands-on experience optimizing deep learning systems and a track record of shipping production models.
Listed on Krea AI’s careers site · Apply there ↗
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Senior Machine Learning Engineer - LLM Quantization & Deployment
XPeng
Full-time · Santa Clara, CA · $174,720 – $295,680
This role focuses on developing and optimizing large language models for deployment on XPENG's custom AI chip, with emphasis on quantization techniques to reduce model size and inference latency. It suits experienced machine learning engineers who have shipped quantized models in production and want to work on real-world autonomous driving applications.
Listed on XPeng’s careers site · Apply there ↗
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Staff Machine Learning Engineer
Unity
Full-time · 2 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 ↗
Choose a location to apply
CA
Research Engineer, ML Infrastructure
Cognition AI
San Francisco, CA
This role focuses on building the distributed systems and infrastructure that enable AI research at scale, owning everything from GPU cluster management to experiment orchestration. It suits experienced systems engineers who understand both distributed computing fundamentals and deep learning frameworks deeply enough to anticipate researcher needs and eliminate bottlenecks.
Listed on Cognition AI’s careers site · Apply there ↗
Principal AI Scientist - GTM Tech
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 ↗
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Machine Learning Engineer - Inference
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 ↗
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Senior Machine Learning Engineer – Predictive World Model
XPeng
Full-time · Santa Clara, CA · $174,720 – $295,680
This role involves developing and training predictive world models that simulate how physical environments evolve, using multimodal data from autonomous vehicles and robots to improve driving and robotic policies. It suits machine learning engineers with deep learning expertise who want to work on foundational AI systems for autonomous systems at scale.
Listed on XPeng’s careers site · Apply there ↗
Senior AI Scientist- Credit Karma
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 ↗
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2027 Campus Recruiting General Intelligence Center Internship Position
XPeng
Internship · Santa Clara, CA
This internship at the General Intelligence Center focuses on developing autonomous driving and intelligent cabin systems using advanced AI techniques like foundation models, reinforcement learning, and simulation-driven physical AI. It suits students interested in machine learning infrastructure, autonomous systems, or software engineering applied to real-world robotics and mobility challenges.
Listed on XPeng’s careers site · Apply there ↗
Staff AI Scientist - Credit Karma
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 ↗
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2027 Campus Recruiting Robotics Center Full-Time Position
XPeng
Full-time · Santa Clara, CA
This is a full-time position for a 2027 graduate to join a robotics research center working on foundation models, manipulation, and locomotion systems. The role is suited to someone with machine learning or control systems expertise who wants to apply AI to physical robot systems.
Listed on XPeng’s careers site · Apply there ↗
Staff AI Scientist - AI Foundations
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 ↗
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Senior Reinforcement Learning Engineer - Robotics
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 ↗
Principal AI Scientist - AI Foundation
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 ↗
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Senior Machine Learning Data Curation Engineer
XPeng
Full-time · Santa Clara, CA · $174,720 – $295,680
XPeng is hiring a machine learning data engineer to build and manage data pipelines and datasets that feed their AI and autonomous driving systems. The role suits someone with 3+ years experience in data engineering who wants to work on large-scale ML infrastructure at a company developing self-driving vehicles and robotics.
Listed on XPeng’s careers site · Apply there ↗
Senior Staff AI/MLE Scientist
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 ↗