…YOUR RESPONSIBILITIES We are looking for a Senior Research Scientist to lead fine-tuning, post-training, and reinforcement learning for the next generation of…

…We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, and machine learning. Aligned…

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

…responsibilities As a Senior Applied Scientist in Amazon Ads, you will: - Conduct hands-on data analysis, build large-scale machine-learning models and pipelines…

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create…

…You'll partner across technical and business teams to manage a wide range of machine learning solutions, each aligned to deliver to different goals…

…Fluency in Python and modern ML frameworks (e.g., PyTorch, JAX) with a solid foundation in machine learning and traditional perception and state-estimation…

…mentoring other scientists, interns, engineers in the use of ML techniques. - Publishing innovation in research forums. - 6+ years of building machine learning models for…

…Lead a Multidisciplinary Team — Manage and develop a team of Data Scientists, Machine Learning Engineers, and Data Engineers across advanced analytics, ML engineering, and…

…As a Senior Engineering Manager, you will lead and inspire a team of highly talented and experienced engineers and scientists. You will have strong…

…You will lead a world-class team of machine learning engineers, software engineers, data engineers, and applied scientists building scalable knowledge systems, LLM-powered…

…product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and…

We are looking for a Senior Applied Scientist who will own the science strategy and technical direction for computer vision and machine learning within…

…multiple initiatives under tight timelines Advanced degree in Applied Econometrics, Statistics, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred. Previous…

…We are seeking a Senior or Staff-level Platform Engineer to help shape and scale this platform. You will leverage your expertise in software…

…We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned…

…world-class scientists and engineers, and seeing your innovations deployed at unprecedented scale. - PhD in engineering, technology, computer science, machine learning, robotics, operations research…

…We are seeking an experienced and motivated Machine Learning Applied Scientist who loves to innovate at the intersection of customer experience, deep learning, and…

…As an Infrastructure Engineer on the ML Platform team, you will design, scale, and maintain the foundational infrastructure powering our entire machine learning ecosystem…

…More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to…

…More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to…

…data analysis, machine-learning model development, model validation and serving. • Research new and innovative AI/ machine learning approaches. • Recruit Applied Scientists to the team…

…As a Senior Applied Scientist on the team, you'll own the science strategy and hands-on development of AI-powered brand experiences at…

…experience and a graduate degree in Computer Science, Statistics, Data Mining, Machine Learning, Analytics, Econometrics, Mathematics, or similar quantitative field or bachelor's with…

…This involves pushing the boundaries on document retrieval and ranking, developing sophisticated machine learning models, using embeddings and deep learning to understand the quality…