37 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
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Senior ML Ops Engineer
Confido
New York, NY · $210,000 – $300,000
Be the founding owner of the ML platform that turns Confido's AI models and agents into reliable, cost-efficient production systems handling hundreds of thousands of documents. You'll own the end-to-end pipelines, cloud infrastructure, and serving layer that lets the AI team ship fast while managing heavy LLM workloads at scale.
Listed on Confido’s careers site · Apply there ↗
Senior, ML Engineer - Tracking
Torc Robotics
Full-time · Remote - US · $177,300 – $212,800
Torc is hiring a senior machine learning engineer to develop and deploy production tracking systems for autonomous trucks, focusing on multi-object tracking, sensor fusion, and state estimation across camera, LiDAR, and radar inputs. This role suits experienced ML practitioners who want to apply deep learning and robotics expertise to real-world autonomous vehicle challenges at scale.
Listed on Torc Robotics’s careers site · Apply there ↗
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Staff Software Engineer, Ray Data
Anyscale
San Francisco, CA · $240,000 – $270,000
This role owns the core architecture and development of Ray Data, a distributed data processing engine that underpins AI workloads at scale. It suits experienced systems engineers comfortable defending tradeoffs between competing technical approaches and solving problems across scheduling, fault tolerance, and performance optimization.
Listed on Anyscale’s careers site · Apply there ↗
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Senior Staff Machine Learning Systems Engineer, Ads ML Platform
Full-time · Remote - United States · $292,500 – $409,500
Reddit seeks a senior technical leader to establish the strategic direction for their ads ML platform's engineer lifecycle, from feature development through model deployment. This role suits someone with deep systems and production ML expertise who can drive cross-team initiatives and mentor senior engineers.
Listed on Reddit’s careers site · Apply there ↗
LN Media & Sponsorship || Experiential Renderer & Build Specialist (Contractor)
Live Nation Entertainment
Contract
This role combines 3D rendering and experiential design expertise to create compelling branded environments for Live Nation's festival activations and events. You'll translate creative briefs into detailed visualizations and spatial designs that balance artistic vision with real-world production constraints.
Listed on Live Nation Entertainment’s careers site · Apply there ↗
Systems Software Engineer - AI Infrastructure
KLA-Tencor
Milpitas, CA · $136,300 – $231,700
KLA is hiring a systems software engineer to design and operate large-scale AI infrastructure supporting model training, inference, and emerging agentic systems across the company. This role combines platform engineering, MLOps, and DevOps expertise, ideal for someone who wants to architect scalable compute environments and bridge hardware, software, and AI workloads.
Listed on KLA-Tencor’s careers site · Apply there ↗
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Staff Technical Program Manager
XPeng
Full-time · Santa Clara, CA · $125,580 – $212,520
This role manages the technical program for XPeng's autonomous-driving training data infrastructure, overseeing data collection, processing, and delivery at scale across multiple engineering teams. It suits someone with substantial experience in cross-functional program management who understands large-scale data systems and can coordinate complex initiatives across distributed teams.
Listed on XPeng’s careers site · Apply there ↗
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Sr. Multimedia Designer (3D Visualization)
Terran Orbital
Full-time · Irvine, CA · $70,000 – $110,000
This role creates visuals and 3D animations for a satellite manufacturer's marketing, proposals, and internal communications. It suits designers who excel at translating complex aerospace engineering into compelling multimedia and can work independently on fast-paced projects.
Listed on Terran Orbital’s careers site · Apply there ↗
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Senior Solutions Engineer
Crusoe
Full-time · New York, NY · $155,000 – $200,000
This role involves helping enterprise customers successfully deploy AI and machine learning workloads on Crusoe's GPU infrastructure, moving from technical discovery through proof-of-concept to production launch. It's suited to cloud infrastructure engineers who want customer-facing technical responsibility and hands-on ownership of AI infrastructure challenges.
Listed on Crusoe’s careers site · Apply there ↗
AI Scientist 2
Intuit
Atlanta, GA
An AI scientist position focused on developing and deploying machine learning models to power marketing and personalization features. This role suits someone with advanced training in a technical field who wants hands-on experience across the full ML lifecycle, from research through production, while collaborating closely with product and engineering teams.
Listed on Intuit’s careers site · Apply there ↗
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Research Scientist, Data
Pika Labs
US remote · $185,000 – $400,000
Pika is hiring a senior data engineer to design and operate large-scale data pipelines that feed multimodal AI model training, handling datasets across text, image, audio, and video. The role suits experienced engineers who have built production ML data infrastructure and want to own the full lifecycle of data quality and curation for cutting-edge generative models.
Listed on Pika Labs’s careers site · Apply there ↗
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Senior Engineer, ML Data Services
Motional
Boston, MA · $149,000 – $198,500 · Remote
This role involves designing and maintaining scalable data infrastructure, APIs, and processing pipelines that support machine learning teams working on autonomous vehicle technology. You'll own critical backend services, mentor junior engineers, and work across teams to define technical strategy for handling massive datasets.
Listed on Motional’s careers site · Apply there ↗
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Machine Learning Engineer (Foundation Models & Personalization)
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 ↗
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Senior ML Systems Engineer, Frameworks & Tooling
Cohere
Full-time · New York, NY · CA$250,000 – CA$535,000 · Remote
Cohere seeks a senior engineer to design and maintain the training framework for frontier-scale language models, focusing on distributed systems, HPC infrastructure, and the tooling that connects research to thousands of GPUs. This role suits someone with deep experience in large-scale distributed training who enjoys working across the full ML systems stack to solve performance and reliability challenges.
Listed on Cohere’s careers site · Apply there ↗
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Senior Backend Engineer, Data Modeling and Ingestion Platform
Udio
Full-time · New York, NY · $180,000 – $220,000
This role involves building the data infrastructure that powers a generative audio company's research, focusing on ingesting and unifying large datasets from multiple external sources. You'll design systems for entity resolution, deduplication, and data enrichment at scale, working closely with ML researchers to prepare training-ready datasets.
Listed on Udio’s careers site · Apply there ↗
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Research Engineer, Data Foundations
Runway
Remote · $270,000 – $370,000
This role focuses on designing and managing the datasets that train world simulation models, encompassing dataset creation, synthetic data pipelines, and controlled experiments to measure how data composition affects model performance. It suits machine learning engineers with 4+ years of experience who want to shape AI capabilities directly through data strategy rather than model architecture alone.
Listed on Runway’s careers site · Apply there ↗
Software Engineer, II - Data Engineering
Torc Robotics
Full-time · Ann Arbor, MI · $139,000 – $166,800
This role builds data pipelines and scalable storage systems for autonomous vehicle fleets using AWS and modern data tools. It suits engineers with cloud infrastructure and Linux experience who want to work on data problems at the scale of machine learning training for self-driving trucks.
Listed on Torc Robotics’s careers site · Apply there ↗
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Software Engineer (Ray Data)
Anyscale
San Francisco, CA · $215,000 – $230,000
This role involves building and optimizing Ray Data, a distributed data processing engine for machine learning workloads, with a focus on performance, scalability, and fault tolerance across complex AI pipelines. It suits experienced distributed systems engineers who want to work on infrastructure that powers AI at scale.
Listed on Anyscale’s careers site · Apply there ↗
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Senior Staff Solutions Engineer (NYC)
Crusoe
Denver, CO · $175,000 – $250,000
Crusoe seeks a senior solutions engineer to help enterprise customers deploy AI/ML workloads on their GPU infrastructure, serving as the technical bridge between customers and the engineering team. The role combines hands-on infrastructure work—building and optimizing Kubernetes-based systems—with customer engagement, technical storytelling, and feedback that shapes the platform.
Listed on Crusoe’s careers site · Apply there ↗
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Staff Machine Learning Engineer, Consumer
Full-time · Remote - United States · $230,000 – $322,000
Reddit is seeking a Staff Machine Learning Engineer to lead the development of large-scale ML systems powering recommendations, search, and content understanding across their consumer platform. This role suits experienced ML practitioners who enjoy building complex systems from research through production and want to influence product direction while mentoring other engineers.
Listed on Reddit’s careers site · Apply there ↗
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Member of Technical Staff, Integration/RL Team (Research Engineer)
Cohere
Full-time · New York, NY · CA$250,000 – CA$535,000 · Remote
This role focuses on developing and scaling machine learning infrastructure for large-language model training, particularly reinforcement learning methods. It suits experienced software engineers who combine strong ML fundamentals with distributed systems expertise and want to contribute to cutting-edge AI infrastructure at an enterprise scale.
Listed on Cohere’s careers site · Apply there ↗
Staff, Machine Learning Engineer - BEV/Multi-Modal Perception
Torc Robotics
Full-time · Ann Arbor, MI · $215,500 – $258,600 · Remote
This is a technical leadership role focused on advancing perception models for autonomous trucks by unifying camera, LiDAR, and radar data into bird's-eye-view representations. It suits experienced deep learning researchers with a background in 3D vision who want to drive architectural innovation at scale while mentoring a team.
Listed on Torc Robotics’s careers site · Apply there ↗
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Software Engineer, ML Developer Experience
Anyscale
San Francisco, CA · $226,000 – $283,000 · Remote
This role owns the user-facing layer of Anyscale's distributed ML platform, building CLIs, SDKs, APIs, and observability tools that let developers run AI workloads from laptop to cluster. It suits someone with strong production engineering chops and product sense who enjoys building developer tooling and ML infrastructure.
Listed on Anyscale’s careers site · Apply there ↗
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Staff Machine Learning Systems Engineer
Full-time · Remote - United States · $230,000 – $322,000
Reddit seeks a Staff ML Systems Engineer to design and build the infrastructure that powers their recommendation and content discovery systems at massive scale. You'll architect MLOps platforms, optimize distributed training pipelines, and work with graph structures containing billions of nodes while collaborating with ML teams across the company.
Listed on Reddit’s careers site · Apply there ↗
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Member of Technical Staff, Post-Training
Cohere
Full-time · New York, NY · CA$250,000 – CA$535,000 · Remote
This role focuses on improving large language models through post-training techniques, combining research and production engineering. It suits experienced ML engineers who want to work on state-of-the-art model optimization at significant scale.
Listed on Cohere’s careers site · Apply there ↗