ML engineers at Riot own the full lifecycle of machine learning in production — from problem framing through model design, deployment, and operation — building systems…

…About this role As the Senior Staff Machine Learning Platform Engineer, you will own the technical vision and evolution of Faire’s ML platform…

…1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of…

…or machine learning, with a track record of impact in search, recommendations, feeds, or conversational AI. Proven experience as a Principal Engineer, Architect, or…

…Design, train, and evaluate machine learning or deep learning models for detecting vehicles, pedestrians, and other road users. Sensor fusion with data from camera…

…Data Science, and Machine Learning partners to develop and scale insights products that enable Credit underwriting use cases - Mentoring engineers and contributing to a…

…We are a small, high-agency team working closely with Product, Data Science, and Machine Learning. We value demos over docs, conviction over consensus…

…supporting functional validation and bring-up debug in the lab. You'll lead an experienced team of 8-10 engineers, including principal-level engineers…

…Work with AI Infrastructure engineers to build scalable evaluation frameworks that measure model performance, reliability, and safety in high-stakes environments. Rapid Prototyping to…

…ABOUT THE JOB We are looking for a founding Staff AI Infrastructure Engineer to architect, build, and scale the end-to-end machine learning…

…decisions Have experience mentoring engineers and contributing to their technical development Strongly Preferred: Experience developing user experiences for machine learning and data-intensive applications…

…a technical discipline (e.g., Data Science, Machine Learning, Computer Science) - Experience defining and measuring model-level metrics (precision, recall, coverage) alongside business outcome…

…You will also be responsible for supporting AI stack that optimizes runtime efficiency, latency and power consumption of AI applications running Machine Learning workloads…

…Machining, Die Casting, Metal Extrusions, Fasteners, Composites, Liquid Silicone Rubber Molding, and Precision Metal Stamping & Forming technologies.) In addition, this role will require support…

…by collaborating with stakeholders across Discord to experiment on features, machine learning models and more. What you should have You have 7+ years of…

…background in computer science, electrical engineering, machine learning, distributed systems, semiconductors, or a related field. - Writing about AI models, inference, GPUs, ASICs, datacenters, networking…

…About the Role We are hiring a Causal Machine Learning Engineer to help build the causal ML foundation behind how DoorDash grows New Verticals…

…About the Role We are hiring a Causal Machine Learning Engineer to help build the causal ML foundation behind how DoorDash grows New Verticals…

…As a Staff Machine Learning Engineer on the Generative AI team, you will help shape, architect, and accelerate our Generative AI strategy by contributing…

…Learn why Keeper is trusted by leading organizations to defend against modern adversaries at KeeperSecurity.com. About the Job As a Staff Software Engineer…

As a Staff Engineer on Datadog's Compute – Disruption and Workload Placement team, you'll help define how our Kubernetes fleet scales to meet…

…Every day blends science, product delivery, and team building. - 3+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information…

…The team works closely with customers on their model enablement, providing direct support and optimization expertise to ensure their machine learning workloads achieve optimal…

…models for predictive learning • Research and implement novel machine learning and statistical approaches • Work closely with software engineering teams to drive real-time model…

…language - Experience with neural deep learning methods and machine learning - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy…