…for software engineers who want to define what ships next. Leveling is broad and flexible: we're hiring from Senior through Staff+, across platform…

…This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This…

…and operate an increasingly diverse set of AI workloads, from training, to inference, agents, and sandboxes. CoreWeave Kubernetes Service is at the center of…

…We're leveraging the latest advances in AI to transform how engineers work from IDE environments to web-based tools and services, empowering developers…

…business environment Take on exciting and difficult challenges in AI harness engineering, such as agent cognitive architecture, eval benchmark creation, context engineering, generative UI…

…internal RL stack, RL environments built on real operational systems, training and evaluation pipelines, and agent evaluation harnesses, with engineering support to extend them…

…and AI-agent protection. You’ll learn how to design and implement production-quality systems, work in an AI-native engineering environment, and contribute…

The MLIL DataPlane team is looking for a Software Development Engineer to own the design and implementation of our inference data plane. We build…

The MLIL DataPlane team is looking for a Senior Software Development Engineer to own the design and implementation of our inference data plane. We…

…inference, and/or the design of agentic AI systems. You will partner closely with business, finance, engineering, and science stakeholders to take ideas from…

…We're looking for a product-minded engineer to join as a Member of Technical Staff and own the surfaces that make this real…

…Yet building AI systems that reliably solve real-world problems remains one of the hardest engineering challenges. As a Staff Frontier Agent Engineer (Applied…

As a Staff Software Engineer, Engine & Tools on an unpublished R&D product, you will be responsible for designing and implementing AI/ML driven…

…Senior/Staff AI Software Engineer to own developer productivity for AIMS: the build, test, and iteration loop that our ML researchers and engineers rely…

…distributed training environments before adversaries exploit them - Build detection-as-code frameworks with version control and automated deployment, onboard telemetry from AI training infrastructure…

…detection engineering, or incident response with a proven track record of identifying and stopping sophisticated attacks in production environments, specifically securing AI/ML infrastructure…

…As a Staff Machine Learning Engineer, you will help shape the future of personalized discovery and engagement at Spotify. You'll work at the…

…Agent optimization/learning, which could range from RL reward shaping, training efficiency optimization, to automatic prompt optimization and techniques to learn from agent memory…

…you have worked directly with data and ML systems, can engage credibly with engineering on architecture tradeoffs, understand modern ML in production (model training…

…learning fundamentals and current post-training and RL methods. - Solid engineering skills and proficiency with the open-source ML ecosystem. - Experience designing and running…

…sensor data. - Experience delivering ML systems for enterprise or regulated environments. We care about demonstrated ability, learning speed, and engineering judgment. Degrees and publications…

…s technical direction, mentor engineers, and push the frontier of what's possible when you apply modern ML — including agentic workflows and LLM fine…

…with engineering and manufacturing groups to understand system designs and translations to data needs. Experience supporting AI/ML pipelines, including feature stores, training data…

…Turn one-off investigations into repeatable engineering systems. MINIMUM QUALIFICATIONS - 8+ years of software engineering experience, including substantial individual-contributor ownership of complex production…

…Mentor other Data Scientists and help define best practices and technical architectures for machine learning engineering and scalable ML service ops. Use agentic AI…