…data engineers, business intelligence engineers, and software development engineers across RCS. The successful candidate reasons about causality rather than correlation, defends a model to…

…You will build causal inference models and experiments to evaluate policy impact on seller outcomes, and shape how our products evolve into trustworthy autonomous…

…of researchers experience - 1+ years of working with or evaluating AI systems experience - 1+ years of creating or contributing to mathematical textbooks, research papers…

…and evaluation of AI models for predictive learning - Research and implement novel machine learning and statistical approaches - Implement scalable data pipelines and model-serving…

…Experience in converging accuracy and its evaluation methods . Knowledge of torch.compile or torchDynamo . PhD in Computer Science, Computer Engineering or Machine Learning Where…

…prompt engineering, and RAG. Experience scaling LLM systems with caching, batching, governance, and evaluation. Strong foundation in ML, deep learning, statistical modeling, and experimental…

…LLM APIs (OpenAI, Anthropic, etc.), RAG architectures, prompt engineering, vector databases, embeddings, tokenization, and evaluation of generative outputs. Familiarity with AI-assisted development tools…

…skills Bachelor’s degree in statistics, economics, mathematics, or engineering with significant quantitative research and data analysis experience 4+ years of applied experience using…

…Bachelor’s degree in quantitative field (Computer Science, Engineering, Operations Research, Statistics, Economics, Math, Physics or related discipline) and 5 years of experience in…

…You’ll engage in projects that integrate data science, research, and business domain expertise, focusing on analytics, business intelligence, data engineering, and visualization. As…

…You’ll engage in projects that integrate data science, research, and business domain expertise, focusing on analytics, business intelligence, data engineering, and visualization. As…

…Defines processes and approaches to conduct regular technology research and evaluation for architectural enhancements. Issue/Defect Collaboration - Software Products Support: Collaborates with stakeholders within…

…Assists customers with highly complex software updates, upgrades, configuration, and incident remediation and educates and mentors junior engineers to educate customers on product features…

…Basic Qualifications Employer will accept a Master's degree in Computer Science, Machine Learning, Engineering (Any), Operations Research, Applied Statistics, Mathematics, Physics, or related…

…Collaborating closely with Industrial Design, Mechanical Engineering, Software and AIML teams to negotiate complex system trade-offs and integrate electronics seamlessly into physical models…

…Partner closely with Product, Engineering, and Sales to propose new pricing models, SKUs, and packaging motions based on deal desk insights. - Build the function…

…The team is composed of experts with deep experience in microarchitecture, ISA definition, performance modeling, power modeling, and workload analysis. We are seeking a…

…Fluency in reading and evaluating research talent through publication history, conference presence (NeurIPS, ICML, ICLR, ACL, etc.), and academic pedigree. Proven ability to source…

…Stay current with ML research and evaluate new tools, frameworks, and techniques WHAT WE’RE LOOKING FOR IN A SENIOR MACHINE LEARNING ENGINEER II…

…Stay current with ML research and evaluate new tools, frameworks, and techniques WHAT WE’RE LOOKING FOR IN A SENIOR MACHINE LEARNING ENGINEER I…

…Own the full study lifecycle for growth research: scoping, recruiting, conducting, analyzing, and communicating results. Design studies and instruments to conduct evaluation and diagnostic…

…financial licenses. - Evaluate from a compliance perspective new products and features to be launched. - Keep other teams abreast of requirements by researching regulatory and…

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission…

…model delivery to production environments Collaboration Work closely with the Staff ML Infra Engineer and cross-functional stakeholders (AI researchers and robotics engineers) to…

…of world-class engineers and scientists to tackle core problems in efficient machine learning for effective dialog systems and foundation models—ranging from natural…