"inference serving" Jobs
83 open tech roles matching “inference serving”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, SQL, R. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 83 results
Join Airbnb as a Data Scientist focusing on causal inference to enhance community support through data-driven insights.
Join Inferact as an inference runtime engineer to innovate AI inference engines for large models in a fully remote role.
Join Inworld AI as a Staff/Principal Machine Learning Engineer to optimize and serve state-of-the-art voice models in a fully remote role.
Lead the design and development of core ML models for Instacart’s ads ecosystem in a fully remote role.
Join ElevenLabs as a Research Engineer to deploy and optimize AI models for real-time applications in a fully remote environment.
Join Together AI as a Staff Software Engineer to build systems that automate infrastructure management for AI clusters.
Join Airbnb as a Senior Data Scientist to tackle complex data challenges and enhance trust on the platform.
Join Inferact as a staff engineer to work on optimizing AI inference across the vLLM stack in a fully remote role.
Join Instacart as a Senior Marketing Decision Scientist II to drive data-driven marketing performance and investment decisions.
Join Instacart as a Senior Marketing Decision Scientist II to drive data-driven growth and optimize marketing performance.
Join Instacart as a Senior Machine Learning Engineer to tackle economic challenges in a flexible, remote-first environment.
Join Airbnb as a Senior Data Scientist to optimize marketing ROI through advanced measurement techniques in a fully remote role.
Build and optimize large-scale machine learning systems for recommendation and personalization at Reddit.
Join Instacart as a Senior Machine Learning Engineer to develop models for real-time inventory understanding in a fully remote role.
Join Instacart as a Senior Machine Learning Engineer to tackle economic challenges in a fully remote, flexible environment.