206 open listings · Page 4 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
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AIエンジニア
Accenture
Full-time
This role develops AI-powered business transformation solutions for enterprise clients, combining artificial intelligence with industry expertise across the full software development lifecycle from requirements through operations. It suits engineers with system integration experience who want to work on large-scale projects using generative AI while building skills in modern cloud and data technologies.
Listed on Accenture’s careers site · Apply there ↗
Sr Applied Data Scientist - Personalization (applied ML, PyTorch, RecSys)
Target
7000 Target Pkwy N,NCD-0375 Brooklyn Park,MN 55445 · $98,000 – $176,000
Target is seeking a senior data scientist to build and optimize recommendation and personalization systems using deep learning and machine learning at scale. This role suits experienced practitioners who want to apply their expertise in PyTorch, ranking algorithms, and large-scale data systems to solve business problems in a collaborative environment.
Listed on Target’s careers site · Apply there ↗
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Manager, Machine Learning Engineering
Warner Bros. Discovery
$187,670 – $348,530
Lead a machine learning team building AI systems for video understanding and creative studio workflows at HBO Max, from research prototyping through production deployment. This role suits experienced ML engineers who want hands-on technical leadership alongside team mentorship in a fast-moving media technology environment.
Listed on Warner Bros. Discovery’s careers site · Apply there ↗
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Senior Machine Learning Engineer - AI Platform
Workday
Full-time · $163,000 – $288,000
This role involves developing machine learning systems and AI-powered services at scale, working with large language models, retrieval-augmented generation, and agentic reasoning to build features across Workday's product suite. It suits experienced ML engineers who can design and ship production systems, lead technically, and stay current with advances in AI.
Listed on Workday’s careers site · Apply there ↗
Senior Deep Learning Software Engineer, Inference
NVIDIA
2 locations · $152,000 – $287,500
NVIDIA is hiring a senior software engineer to optimize deep learning inference frameworks and GPU-accelerated pipelines for large language models and generative AI applications. This role suits experienced systems engineers who want to work on high-performance open-source tools and tackle complex performance optimization challenges across NVIDIA's accelerator hardware.
Listed on NVIDIA’s careers site · Apply there ↗
Choose a location to apply
Senior Staff Engineer, GPU Architect, Machine Learning
Samsung Semiconductor
Full-time · San Jose, CA · $198,200 – $297,200
Samsung is seeking an experienced GPU architect to design machine learning accelerators for mobile devices, bridging hardware innovation with AI workload optimization. This role suits engineers with deep expertise in GPU microarchitecture who want to influence the next generation of mobile AI performance.
Listed on Samsung Semiconductor’s careers site · Apply there ↗
AI Infrastructure Engineer
Intel
Full-time · $170,500 – $315,490
Intel is seeking a performance engineer to optimize Large Language Model inference on their next-generation GPUs, working across the full stack from kernel development to open-source framework contributions. This role suits engineers passionate about squeezing maximum throughput from hardware and collaborating with the broader AI infrastructure community.
Listed on Intel’s careers site · Apply there ↗
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Senior Data Scientist
Boeing
Full-time · Hazelwood, MO · $162,350 – $219,650
Boeing Defense, Space & Security is seeking an experienced data scientist to lead modeling and analytics efforts on defense programs, building machine learning systems that improve weapon system effectiveness and working with cross-functional engineering teams to translate domain knowledge into production solutions.
Listed on Boeing’s careers site · Apply there ↗
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AI Research Scientist, Agentic Systems (Remote)
CrowdStrike
Full-time · USA - Remote · $120,000 – $180,000
This role focuses on building AI agents and training large language models to automate cybersecurity workflows, working with real-world threat data and security operations processes. It suits researchers with deep machine learning expertise who want to apply post-training techniques like reinforcement learning to autonomous systems in a domain with unique, large-scale data.
Listed on CrowdStrike’s careers site · Apply there ↗
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Senior Machine Learning Engineer
Unity
Full-time · Mountain View, CA · $210,300 – $273,400
Lead the development of goal-directed AI agent systems within the Unity engine, creating frameworks and models that enable sophisticated in-game behaviors and simulations. This role suits experienced ML engineers who want to push the boundaries of reinforcement learning and multi-agent systems in real-time 3D environments.
Listed on Unity’s careers site · Apply there ↗
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LLM Algorithmic Optimization Engineer - Intern
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 ↗
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Staff System Software Engineer - Embedded AI & Algorithm
Ambarella
US Headquarters · $160,000 – $183,000
This role develops machine learning and computer vision algorithms for edge AI processors used in autonomous vehicles, surveillance cameras, and drones. It suits engineers with deep learning expertise who want to optimize neural networks for real-time performance on embedded devices.
Listed on Ambarella’s careers site · Apply there ↗
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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 ↗
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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 ↗
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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Senior AI Research Engineer
Agility Robotics
Full-time · Fremont, CA · $195,000 – $304,000
This role involves developing and deploying machine learning policies for humanoid robots performing real-world tasks in warehouses and manufacturing. You'll research imitation and reinforcement learning methods, design simulation environments, and work directly with physical robots to move cutting-edge techniques from research into production.
Listed on Agility Robotics’s careers site · Apply there ↗
Apply for Senior Engineer, ML Data Services at Motional on their site
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Senior Engineer, ML Data Services
Motional
Full-time · Boston, MA · $123,000 – $163,500 · Remote
This role involves building infrastructure and tools that allow machine learning researchers and engineers to develop autonomous driving models more effectively. You'd optimize training systems, scale cloud platforms, and create AI tooling to remove friction from the ML development process.
Listed on Motional’s careers site · Apply there ↗
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Staff Machine Learning Engineer, Notifications Relevance
Remote - United States · $230,000 – $322,000
This role leads machine learning strategy for Reddit's notifications system, which surfaces relevant content to millions of users daily. You'll architect and deploy large-scale recommendation systems across candidate retrieval, ranking, and budget optimization while integrating emerging AI capabilities.
Listed on Reddit’s careers site · Apply there ↗
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AI/ML Scientist, Planetary Science
Relativity Space
Full-time · Long Beach, CA · $115,000 – $173,000
This role applies machine learning to unlock discoveries from Mars missions, focusing on atmospheric modeling, multi-modal data fusion, and autonomous science decision-making on spacecraft. It suits researchers who want to bridge cutting-edge AI methods with planetary science problems in a lean, high-ownership environment.
Listed on Relativity Space’s careers site · Apply there ↗
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Staff Machine Learning Engineer, Voice AI
Together AI
Full-time · San Francisco, CA · $220,000 – $280,000
Staff-level machine learning engineer role focused on optimizing inference for voice models like speech-to-text and text-to-speech on Together AI's platform. Ideal for someone with deep expertise in LLM serving engines and GPU optimization who wants to shape the technical direction of a foundational voice AI system.
Listed on Together AI’s careers site · Apply there ↗
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Research Scientist, Foundation Model (Video Generation)
Pika Labs
Palo Alto, CA · $185,000 – $400,000
Pika is seeking a senior research scientist to lead the development of large-scale multimodal foundation models for real-time video generation and creative applications. This role combines cutting-edge AI research with the opportunity to bring foundational model innovations directly into production systems serving millions of creators.
Listed on Pika Labs’s careers site · Apply there ↗
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Sr. Data Scientist, Programmatic Algorithms
impact.com
3 locations · $165,000 – $185,000
This role involves designing and deploying machine learning models to optimize pricing, yield, and inventory allocation in a programmatic advertising marketplace. It suits experienced ML engineers and data scientists who thrive on full-stack ownership, from data pipelines and feature engineering through production inference and experimentation, and who understand marketplace economics alongside statistical rigor.
Listed on impact.com’s careers site · Apply there ↗
Choose a location to apply
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Senior Staff Software Engineer, Storage
Crusoe
Full-time · San Francisco, CA · $240,000 – $310,000
Crusoe seeks a Senior Staff Engineer to architect and lead the long-term technical strategy for their cloud storage infrastructure, bridging high-performance hardware with globally distributed, S3-competitive object stores. This role suits someone with deep distributed systems expertise who thrives setting technical direction and solving ambiguous infrastructure challenges at scale.
Listed on Crusoe’s careers site · Apply there ↗
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Research Engineer, Performance RL (Reinforcement Learning)
Menlo Ventures Portfolio
Full-time · San Francisco, CA · $350,000 – $850,000
This role involves designing reinforcement learning environments and conducting research to improve AI models' code generation capabilities, particularly for accelerator programming. You'll need deep expertise in GPU/accelerator optimization and ML frameworks, combined with the ability to move research from experimentation into production training pipelines.
Listed on Menlo Ventures Portfolio’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 ↗