…Coach team members to help them achieve their potential. Hire bar raising talent as the team expands. - 7+ years of engineering experience - 3+ years…

…Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions…

…Data at Brex Our Scientists and Engineers work together to make data — and insights derived from data — a core asset across Brex. But it…

…Guide the work of at least two data scientists, raising the bar on technical quality, execution, and impact through candid, continuous feedback and coaching…

…forming product experiences that help members stay engaged and make progress over time. - Partner closely with product managers, engineers, data scientists, researchers, and clinicians…

…loves all things data — composed of data engineers, architects, analysts, and data scientists. We are looking for a Senior Data Engineer who brings a…

…team members to seek diverse perspectives, learn and be curious, and earn trust. About the team Diverse Experiences Amazon values diverse experiences. Even if…

…comfort partnering deeply with engineers and data scientists while translating complexity for business, risk, and compliance stakeholders Strong customer empathy paired with the rigor…

…000 strategic sellers, industry and security experts, elite engineers, world-class data scientists and architects, consultants, and delivery specialists. Together with our partners, we…

…Our team of high caliber software developers, applied scientists, data engineers, product managers and Business Intelligence Engineers use rigorous ML and deep learning approaches…

…We will consider Applied Scientists with experience working with economists for this role. Key job responsibilities This role interfaces directly with executives, product/program…

…Previous experience with the ML lifecycle (data collection and labeling, model evaluation, etc.). Applied experience using data to inform priorities and evaluate impact. Excellent…

…Experience with point cloud processing (PCL, Open3D) and multi-modal - sensor fusion - • Knowledge of SLAM, localization, or mapping systems - • Experience with large-scale data…

…experience with Kubernetes, EKS, Docker, MLOps Prior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases Prior experience collaborating with data scientists

…You will build relationships with many stakeholders internally from Product, Data, Engineering, Operations, and Marketing. You’ll have high visibility with senior leadership and…

…We are looking for a Data Scientist to join our marketing org. As a Data Scientist you introduce greater scientific rigor into the marketing…

…from experimentation and development to production deployment and monitoring. You'll work with cross-functional teams (e.g., scientists, product managers, data engineers) to…

…cloud from advanced security threats! As a Senior Applied Scientist on our team, you’ll analyze data using GenAI and other AI/ML techniques…

…We learn from real-world data at a scale that few teams in robotics can access. We are seeking a Senior Software Development Engineer…

…and partner with engineers, product managers, researchers, and data scientists to oversee the user experience of a product from concept to launch, and then…

…AI, Data, or Advanced Technology Exposure Experience working with AI, machine learning, analytics, cyber, data, cloud, or emerging technology programs. Ability to communicate effectively…

…partnership with the IP paralegal ABOUT YOU Experience & Qualifications - Legal Credentials: J.D., active state bar membership, and USPTO registration (patent bar); this is…

…Sherman, among its board members. Position Overview: We are seeking a highly analytical and impact-driven Senior Data Scientist to help shape our product…

…You’ll collaborate with engineers and data scientists to ensure the platform supports the complex needs of AI models and machine learning workflows. WHAT…

…Experience with the ML lifecycle (data collection and labeling, model evaluation, etc.). Applied experience using data to inform priorities and evaluate impact. Excellent written…