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2380 open positions · Updated 1 week ago
Showing 20 of 2380 positions
Search with filters →Join Preference Model as a senior ML Engineer to design RL environments for advancing machine learning capabilities.
Join Lyft's ETA team as a Machine Learning Engineer to enhance ride experience through accurate ETA predictions.
Join Inferact as an inference runtime engineer to optimize AI model execution across diverse hardware and architectures.
Join Perplexity AI as a senior ML Engineer to design and optimize recommendation systems for personalized user experiences.
Join Thumbtack as a Software Engineer to build and evolve AI platform capabilities for millions of users.
Join Coinbase as a Senior Machine Learning Engineer to build AI-powered conversational systems for customer support.
Join Omnifold as an ML Research Scientist to tackle complex supply chain challenges with innovative AI models.
Develop machine learning-driven approaches for threat detection and security analytics at Illumio's Sunnyvale HQ.
Lead the technical direction for predictive maintenance and asset intelligence initiatives at MaintainX, leveraging deep ML expertise.
Join AI Squared as a Machine Learning Engineer to operationalize and maintain scalable AI/ML systems in a hybrid work environment.
Join Inferact as a performance engineer to optimize vLLM, the fastest AI inference engine, working directly with hardware vendors.
Join Sprinter Health as an ML Engineer to build reliable production systems for machine learning models in a hybrid work environment.
Join EarnIn as a Machine Learning Engineer to develop and deploy models for user-facing financial products in a hybrid work environment.
Build and operate real-time inference services for risk decisioning in a fast-growing fintech startup.
Join Perplexity as a Senior ML Engineer to design and optimize recommendation systems for personalized user experiences.
Join Preference Model as a Research Engineer to advance self-directed learning in large language models within a fast-paced startup.
Join Mythic to advance the MLIR ecosystem, extending high-level dialects and designing a new hardware-aware low-level dialect.