Senior Machine Learning Engineer - Ads
Uber
About the Role The Ads Machine Learning (Ads ML) team at Uber is responsible for providing relevant ad recommendations to the users across the different applications within the Uber ecosystem. We...
Showing 41-60 of 200 jobs for "Senior ML Engineer"
Uber
About the Role The Ads Machine Learning (Ads ML) team at Uber is responsible for providing relevant ad recommendations to the users across the different applications within the Uber ecosystem. We...
Stem IT
Raytheon Technologies
Trigent Software Private Limited
TekVizor
Willing Care Recruitment
Job Title: Senior Machine Learning EngineerSalary: $140,000 – $240,000 + Equity + BenefitsJob Type: Full-timeAbout the Role:We’re hiring a Machine Learning Engineer to join a fast-growing AI startup...
EvenUp
Senior Machine Learning Engineer - Systems EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our...
Capital One
Meltwater Group
Design, build, and productionize large-scale NLP and LLM systems that power information extraction, classification, ranking, clustering, topic discovery, recommendations, and content generation...
Jobot
MANN+HUMMEL
Sailplane
In an unmarked building somewhere in Silicon Valley, a small team of engineers is working on what could become one of the most transformative technologies in enterprise computing: autonomous...
Sailplane
In an unmarked building somewhere in Silicon Valley, a small team of engineers is working on what could become one of the most transformative technologies in enterprise computing: autonomous...
PlusAI
Job DescriptionJob DescriptionPlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the...
Media.net
Royal Caribbean Group
Exact Sciences
Bristol Myers Squibb
Gesture
Department: Engineering you own the logic, the lift, and the outcomesML Pipeline Architecture -- The full lifecycle: data ingestion, feature stores, model training, evaluation, deployment,...