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5 open listings
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
NVIDIA
3 locations · $184,000 – $356,500
NVIDIA is hiring a senior engineer to provide hands-on technical support for large-scale AI deployments on their cloud platforms, working directly with enterprise customers to optimize distributed training, inference, and MLOps infrastructure. This role suits experienced infrastructure engineers or solutions architects comfortable troubleshooting complex production systems and guiding customer teams on GPU-accelerated platforms.
Listed on NVIDIA’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 ↗
Accenture
€1,900 – €4,700 / month
Accenture seeks an AI/ML Computational Scientist to design, build, and deploy machine learning solutions for enterprise clients, working across the full lifecycle from problem assessment through production operations. This role suits experienced ML engineers who can combine custom models with cloud services, optimize data pipelines, and communicate technical solutions to non-technical stakeholders.
Listed on Accenture’s careers site · Apply there ↗
Motional
Full-time · Boston, MA · $200,000 – $275,000 · Remote
Lead a team building data validation and analysis infrastructure for autonomous vehicle machine learning models at scale. This role suits experienced technical leaders with strong data engineering and ML expertise who can drive innovation across large distributed systems supporting hundreds of developers.
Listed on Motional’s careers site · Apply there ↗
Menlo Ventures Portfolio
Full-time · New York, NY · $350,000 – $500,000
This role involves implementing and optimizing post-training techniques for Anthropic's large language models, translating research methods like Constitutional AI and RLHF into production systems. It suits engineers who combine strong software skills with deep learning expertise and thrive balancing research innovation with operational reliability at scale.
Listed on Menlo Ventures Portfolio’s careers site · Apply there ↗