…Create test strategies and test plans for Zoox’s self-driving behavior features. Identify, track, report, and resolve test strategy, planning, or implementation issues…

…As an ML Agents and Planning Machine Learning Engineer you will work on the bleeding edge of the industry, developing novel machine learning pipelines…

…Learning paradigms applied to language or vision tasks ( focusing on improving System 2 thinking, logical deduction, and model alignment ). Demonstrated experience in Data Engineering…

…Strong understanding of generative AI, deep learning, machine learning, model lifecycle, inference serving, model optimization, distributed training, and MLOps. Hands-on programming experience in…

…Mobilize cross-functional teams (including Product, Engineering, Data, and Customer Success) to swiftly diagnose and resolve technical customer bottlenecks and bespoke requests. What you…

…tech stack and collaborating with data engineers Are proficient in SQL and Python/R, with experience in statistical analysis and machine learning Have experience…

…working with systems engineering concepts (requirements, safety constraints, metrics) Exposure to autonomy stacks (planning, perception, control) Some exposure to machine learning systems (not required…

…engineering teams (diagnostics, hardware repair, service quality, and others) to define technically grounded requirements and evaluate architectural options, including Artificial Intelligence and Machine Learning…

…Machine Learning Engineer at Wayve, we’re looking for the following skills and experience. Essential Extensive and proven track record of shipping deep learning…

…Inferentia and Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them. As the Software Development Engineer for the…

…In this role, you will design, build, and own machine learning systems that detect abuse patterns, classify threats, and automate enforcement across sensitive datasets…

…What You'll Bring to the Team: - AI and Machine Learning Infrastructure: You understand how training, fine-tuning, inference, checkpointing, and GPU-intensive workloads…

…of consumer machine learning features. In this role, you will work shoulder-to-shoulder with full-time Apple scientists and engineers, not just coordinating…

…On the ML Fraud team, you’ll build and improve machine learning systems that make real-time transaction decisions, protecting consumers and merchants while…

…We partner with Machine Learning, Product, Engineering, Capital Markets, and Commercial teams to grow Affirm responsibly by optimizing approval, conversion, losses, and profitability. Operating…

…Key job responsibilities As a Power Validation Engineer on our Machine Learning Acceleration team, you'll own power-domain validation across the entire product…

…machine learning engineers management experience - PhD, or Master's degree - Knowledge of machine learning approaches and algorithms - 5+ years of building machine learning models…

…Within this organization, Data, AI & Experimentation Platforms accelerate product velocity and business impact by providing cohesive, reliable foundations for data, analytics, machine learning, and…

…application behaviors. A proactive, experimentation-oriented mindset with a strong willingness to learn and guide team on emerging AI technologies, frameworks, and engineering patterns…

…As a Senior Machine Learning Engineer, you will own the ML lifecycle for the detection and segmentation models at the core of our manufacturing…

…As a Senior Machine Learning Engineer, you will own the ML lifecycle for the vision-language models that unify our perception and reasoning capabilities…

…As a Senior Machine Learning Engineer, you will own the ML lifecycle for the language models that understand and reason about the content in…

…You’ll thrive in this role if you: - Have a demonstrated track record of designing, building, and delivering AI or machine-learning systems in…

…Engineering, Design, Research, and Data Science. You have experience working with personalization, recommender systems, or machine learning-powered products. You bring curiosity about behavioral…

…deploying, and monitoring AI/machine learning models, assessing reliability, stability, and fitness for purpose. - Evaluate risks across the model lifecycle infrastructure: feature engineering pipelines…