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206 open listings · Page 5 of 9
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
Runway
Remote · $270,000 – $370,000
A research engineer role focused on developing and improving world models—AI systems that learn to simulate and understand physical environments. This suits experienced ML engineers who want to work across the full stack from data pipelines through production deployment on foundational models.
Listed on Runway’s careers site · Apply there ↗
Krea AI
Full-time · San Francisco, CA
A machine learning engineer role building personalization and recommendation systems for an AI creative tools company. This suits someone experienced with recommendation systems and media-based personalization who wants to own a full product stack from research through production.
Listed on Krea AI’s careers site · Apply there ↗
Oura
Full-time · Remote - United States · $139,000 – $203,000
Oura is seeking senior iOS engineers to build health-tracking features for their wearable ring and app, working in cross-functional squads with autonomy over architecture and release. This role suits experienced iOS developers who want to own substantial projects end-to-end and grow as technical leads.
Listed on Oura’s careers site · Apply there ↗
Sentry
San Francisco, CA · $155,000 – $400,000 · Remote
Sentry is hiring a Staff Machine Learning Engineer to build AI-driven systems that automatically triage and resolve production errors in their application monitoring platform. This role suits experienced ML practitioners who want to own high-impact projects integrating large-scale language models and agentic AI into a product used by hundreds of thousands of organizations.
Listed on Sentry’s careers site · Apply there ↗
CharacterAI
Redwood City, CA · $150,000 – $350,000 · Remote
This role supports machine learning research and products by building and maintaining GPU infrastructure, cluster diagnostics tools, and experiment management systems. It suits engineers with deep experience in ML operations who want to optimize hardware utilization and solve large-scale training and serving challenges.
Listed on CharacterAI’s careers site · Apply there ↗
Baidu
Sunnyvale, CA
Baidu is seeking an experienced hardware architect to design machine learning acceleration systems for their Kunlun AI SoCs, optimizing performance and power across distributed training platforms. This role suits someone with deep expertise in ML hardware acceleration and a track record of bridging hardware architecture with software optimization.
Listed on Baidu’s careers site · Apply there ↗
SAP
Full-time · Newtown Square, PA · $90,000 – $198,500
This role involves developing and implementing AI solutions for U.S. national security and critical infrastructure customers using SAP's business intelligence platform. It suits machine learning specialists who want to apply AI research to real-world problems while working with government-focused clients.
Listed on SAP’s careers site · Apply there ↗
Accenture
This role involves designing and delivering AI-powered business transformation solutions for enterprise clients, spanning from initial requirements through system development, migration, and operations. It suits experienced systems engineers and architects who want to lead large-scale projects and mentor teams while working with cutting-edge generative AI technologies.
Listed on Accenture’s careers site · Apply there ↗
Target
7000 Target Pkwy N,NCD-0375 Brooklyn Park,MN 55445 · $98,000 – $176,000
Target is seeking a senior data scientist to develop and deploy machine learning models powering their recommendation systems, working with deep learning frameworks and large-scale datasets. This role suits experienced ML practitioners who want to apply their skills in production recommendation systems at a major retailer.
Listed on Target’s careers site · Apply there ↗
NVIDIA
Santa Clara, CA · $224,000 – $356,500
NVIDIA is hiring a senior engineer to develop radar-based perception systems for autonomous vehicles, focusing on deep learning models that extract meaningful information from radar data and fuse it with camera and lidar inputs. This role suits someone with over a decade of production deep learning experience who can tackle the unique challenges of radar perception—like ghost targets and poor angular resolution—while collaborating across hardware, safety, and software teams.
Listed on NVIDIA’s careers site · Apply there ↗
Samsung Semiconductor
Full-time · $124,000 – $208,400
Samsung is seeking a machine learning engineer to develop and optimize neural rendering applications and ML software for execution on Samsung's mobile GPUs. This role suits engineers with strong GPU programming fundamentals who want to work on performance optimization and low-level hardware-software integration for mobile AI workloads.
Listed on Samsung Semiconductor’s careers site · Apply there ↗
Boeing
Full-time · Hazelwood, MO · $142,800 – $193,200
Boeing Defense, Space & Security seeks an experienced data engineer to design and deploy machine learning solutions for aerospace applications, leading technical teams and collaborating across engineering domains. This role suits someone with strong data science foundations and leadership experience who wants to work on high-impact defense and space systems.
Listed on Boeing’s careers site · Apply there ↗
Workday
Full-time · $160,000 – $240,000
Build machine learning systems and AI-powered features for Workday's enterprise platform, working on large language models, retrieval-augmented generation, and agentic AI at scale. This role suits experienced ML engineers who can design and ship production systems while staying current with AI advancements.
Listed on Workday’s careers site · Apply there ↗
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 ↗
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 ↗
Deepgram
USA | Remote · $152,000 – $208,000
This role leads the design and delivery of ML infrastructure, model serving systems, and AI tooling that enable Deepgram's research and engineering teams to build and deploy voice AI models at scale. You'll coordinate across research, engineering, and product to translate ML requirements into production systems while optimizing for cost, latency, and developer velocity.
Listed on Deepgram’s careers site · Apply there ↗
Cohere
Full-time · New York, NY · CA$250,000 – CA$535,000
This role focuses on building data infrastructure and tooling for AI safety research, combining software engineering with statistical analysis to enable efficient model training and evaluation. It suits experienced engineers who enjoy both infrastructure design and cross-functional collaboration with ML researchers.
Listed on Cohere’s careers site · Apply there ↗
XPeng
Full-time · 2 locations · $215,280 – $364,320
XPeng is seeking a machine learning engineer to develop and optimize traffic sign detection models for autonomous driving systems, handling the full lifecycle from data preparation through production deployment. This role suits experienced computer vision practitioners who want to work on safety-critical perception problems with real-world impact.
Listed on XPeng’s careers site · Apply there ↗
Agility Robotics
Full-time · Fremont, CA · $216,000 – $338,000
This role leads AI research on robot learning at Agility, developing foundation models and policies that enable humanoid robots to perform real-world tasks in warehouses and manufacturing. You'll mentor junior researchers, establish team standards, and drive both technical innovation and production deployment of imitation and reinforcement learning systems.
Listed on Agility Robotics’s careers site · Apply there ↗
Motional
Full-time · Boston, MA · $144,000 – $192,000 · Remote
This role builds machine learning systems that automatically discover critical edge cases and failures in autonomous vehicle sensor data, helping improve safety through smarter data mining and analysis. It suits engineers who want to apply foundation models and representation learning to solve real-world problems at scale in a rapidly advancing industry.
Listed on Motional’s careers site · Apply there ↗
Full-time · Remote - United States · $230,000 – $322,000
Reddit seeks a machine learning engineering manager to lead their engagement modeling team, building predictive models for ads performance at scale. This role suits someone with deep ML expertise and team leadership experience who can balance technical innovation with business goals across cross-functional partnerships.
Listed on Reddit’s careers site · Apply there ↗
impact.com
Full-time · New York, NY · $100,000 – $125,000
This role builds machine learning systems that recommend partnerships, products, and creators across impact.com's network of advertisers, publishers, and consumers. It suits experienced data scientists who can own projects end-to-end—from problem definition through production deployment—and who want to apply graph neural networks and embeddings to a real-world, multi-entity recommendation problem at scale.
Listed on impact.com’s careers site · Apply there ↗
Crusoe
San Francisco, CA · $240,000 – $310,000
Crusoe is hiring a Staff-level architect to lead the technical strategy and design of their distributed storage infrastructure, which bridges high-performance NVMe hardware with S3-compatible object storage serving AI workloads. This role suits someone with deep expertise in distributed systems and performance optimization who wants to shape a multi-year technical roadmap at a pre-IPO infrastructure company.
Listed on Crusoe’s careers site · Apply there ↗
Intuit
Mountain View, CA · $211,500 – $306,000
Intuit seeks a research leader to advance AI/ML science across their product ecosystem, directing investigations into decision-focused systems, causal reasoning, and agentic AI while mentoring researchers and translating discoveries into customer-facing capabilities. This role suits scientists with deep publication records and proven ability to shepherd multiple concurrent research programs from conception to real-world impact.
Listed on Intuit’s careers site · Apply there ↗
Together AI
Full-time · San Francisco, CA · $200,000 – $260,000
This role focuses on optimizing how voice AI models are served in production, tackling unique challenges like real-time latency and streaming audio. It suits experienced ML engineers comfortable diving deep into inference engines and GPU optimization who want to shape infrastructure as the industry moves toward end-to-end speech systems.
Listed on Together AI’s careers site · Apply there ↗