"machine learning" Jobs
4282 open tech roles matching “machine learning”, taken straight from company career pages — not reposted from other job boards. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 4282 results
Join Databricks as a Staff Software Engineer to build LLM infrastructure for large-scale AI inference workloads.
Join Block as a Staff Machine Learning Engineer to build and evolve ML systems for credit decisioning in a fully remote role.
Join Ideogram as an Applied ML Engineer to bridge research and product, turning generative models into production features.
Develop and optimize computer vision models and ML pipelines for robotics at Dexterity.
Lead high-impact research and applied algorithm development in healthcare as a Principal Applied ML Scientist at Omada Health.
Lead AI Platforms initiatives at Airbnb, focusing on Search Relevance and Machine Learning Infrastructure with a remote team.
Lead architecture and development of AI features within the Forward platform at a growth-stage company.
Join Xaira Therapeutics as a Senior Software Engineer to build AI infrastructure for drug discovery and development.
Join Datadog as a Senior Applied Scientist to build machine learning models for innovative features in a hybrid work environment.
Join Baseten as a senior software engineer to develop cutting-edge AI training products and enhance user workflows.
Join Inceptive to develop cutting-edge machine learning models for therapeutic biomolecule design in a collaborative environment.
Join ChipAgents as a Research Scientist to advance AI-assisted electronic design automation in a high-impact, mission-driven team.
Join Profound as a Software Engineer to design and scale the data platform infrastructure for AI-driven marketing solutions.
Join Cartesia as a Researcher to enhance multimodal models through innovative post-training methods and alignment techniques.
Join Baseten as a Software Engineer focusing on Model APIs to enhance AI model performance and developer experience.
Join Preference Model as a Machine Learning Engineer to develop low-level reinforcement learning environments in a fast-paced startup.