…Develop data mining tools with applied ML techniques to support data discovery needs from Autonomy including Perception, Behavior, and Mapping Develop data annotation tools…

…Develop and contribute to Waymo's data infrastructure platform to enable plant scale ML Flywheel at Waymo for all ML models via data store…

…Develop data mining tools with applied ML techniques to support data discovery needs from Autonomy including Perception, Behavior, and Mapping Develop data annotation tools…

…ML and evaluation datasets, streamlining curation, sampling, and slicing for training and testing the Waymo Driver software. Design and implement robust tools and infrastructure…

…As a Backend Software Engineer, you’ll be responsible for designing and developing the core backend systems that power Fireworks AI’s high-performance…

…infrastructure using Infrastructure as Code (IaC). Provide architectural guidance and mentorship to a team consisting of ML engineers, data scientists and analytics engineers. Distill…

…designing rigorous experiments before committing to major infrastructure investments. Track industry trends in data engineering, AI/ML, and analytics to maintain Okta’s competitive…

…working directly with data warehouses - Proven ability to build dashboards and analytics infrastructure yourself—you don't need a data engineering team to be…

…You will partner with ML engineers and data scientists to build products that work for real patients in a HIPAA-compliant environment. We power…

…Partner with data and software teams to improve test data pipelines, analysis tooling, and reporting—defining metrics that give leadership actionable visibility into test…

…reliable set of best-in-class software tools for hardware engineers. You will anticipate tool and infrastructure needs, work with multiple organizations, support users…

…You'll partner closely with scientists developing and fine-tuning large language models, engineers building low-latency inference infrastructure, and product teams defining customer…

…Exposure to ML Ops, data operations, cloud AI infrastructure, GPU-accelerated training, simulation pipelines, synthetic data, or large-scale data management. Ways to stand…

…CKA, CKAD, CKS, KCNA, AWS Machine Learning - Specialty, Data Analytics - Specialty, Solutions Architect - Professional, Developer - Associate, NVIDIA AI Infrastructure and Operations, Generative AI and…

…latency ML infrastructure at scale Strong software engineering skills and ability to design ML solutions through entire product stack Experience applying ML to fraud…

…Deep experience building anomaly detection systems, heuristics-based rule engines, or ML/RL systems for infrastructure or data-intensive domains. - Threshold & Signal Calibration: Demonstrated…

…ABOUT THE ROLE Cerebras is seeking a Principal AI Security Engineer to lead hands-on security engineering for enterprise IT, infrastructure, AI platforms, and…

…infrastructure and translate them into actionable architecture decisions. Skills and Qualifications - 10+ years of experience in enterprise and/or data center network engineering, including…

…Software Engineer, ML/Computer Vision (Battery Sorting) The Battery Sorting team at Redwood Materials is building a world-class, ML-enabled sorting platform that…

…Roblox's data infrastructure processes petabytes of data daily, powering analytics, ML, and product decisions. As a Senior Software Engineer in our Data Infra…

…As a Principal Software Engineer on Safety Foundation, you'll be the hands-on tech lead for a group of engineers on the team…

…Science, Robotics, Aerospace Engineering, or equivalent 5+ years of experience in autonomous systems, robotics, or AI/ML Experience delivering software through full product development…

…You'll work closely with robotics, data, ML, and infrastructure engineers to develop clean, reliable, and maintainable software that integrates tightly with hardware and…

…As a Senior Software Engineer on the Safety Detection Precision team, you’ll help close the gap between AI detection of safety risk on…

…Achieving this requires unprecedented scale in both data infrastructure and compute orchestration. Our workloads span thousands of GPUs, petabytes of driving data, and geographically…