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143 jobs found · Engineering
We’re looking for a Senior Backend Data Engineer to help build and scale the systems powering content understanding across Spotify. This role sits at the intersection of…
New York, New York, United StatesNorth America
This role is designed for high-potential software engineers and full-stack developers who are building the production engineering, applied AI, and client-delivery skills…
We are looking for a full-time Machine Learning Engineer - AI Foundation, with deep knowledge and strong enthusiasm towards establishing a state-of-art ML infrastructure…
Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that…
Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that…
As a Fullstack Engineer on the Duo Client SDK team at GitLab, you'll build the shared foundation for every GitLab Duo client.
Doha, Qatar Middle East & Africa
As a Senior Software Engineer, AI Ops at Scale AI, you will own the long-term technical health, performance, and stability of AI solutions deployed across our strategic…
New York, New York, United StatesNorth America
You will be a key member of the Turing GenAI delivery organization leading a GenAI project end-to-end from POC to full-scale implementation and you will be leading a…
San Francisco, US (Hybrid)North America
We answer the question every data-driven team asks: "What changed, why, and what should I do about it?" We proactively keep users informed about what matters in their…
As one of our first Applied AI Engineers, you'll also shape the function itself - turning individual customer engagements into repeatable playbooks, digital learning…
As one of our first Applied AI Engineers, you'll also shape the function itself - turning individual customer engagements into repeatable playbooks, digital learning…
As a Staff Applied AI Engineer, you'll raise the bar for how AI gets built, governed, and evaluated across the team.