"ai ml infrastructure" Jobs
128 open tech roles matching “ai ml infrastructure”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, AWS, Kubernetes. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 128 results
Join Quora as a Software Engineer (New Grad) to work on their Machine Learning platform 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 Twilio as a Staff Engineer in Offensive Security, leading complex penetration testing and vulnerability assessments in a remote-first environment.
Join Instacart as a Senior Machine Learning Engineer to develop models for real-time inventory understanding in a fully remote role.
Join Inworld AI as a Staff/Principal Research Scientist to innovate in real-time voice models within a fully remote team in Switzerland.
Join Medium as a Senior Data Platform Engineer to modernize our data infrastructure and enhance platform reliability for our teams.
Join Instacart as a Senior Software Engineer to build LLM-powered systems that enhance data interaction for practitioners.
Join Instacart as a Senior Software Engineer to design and build AI-powered systems that transform grocery shopping for millions.
Join ElevenLabs as a Full-Stack Engineer to develop and maintain innovative AI-driven Creative & Studio products.
Join Instacart as a Senior Machine Learning Engineer to develop real-time inventory models for grocery stores across North America.
Join Bugcrowd as a Reinforcement Learning Engineer to build AI systems that enhance cybersecurity through innovative training environments.
Join Cresta as a Customer Engineer to deliver AI solutions for enterprise contact centers and enhance customer experiences.
Join Reddit as a Senior Security Engineer to secure AI-powered products and build reusable security primitives.
Define and drive the use of generative AI and automation across engineering at Talkiatry, enhancing productivity and capabilities.
Serve as a trusted technical advisor guiding enterprise customers in deploying Databricks on AWS.