…Provide technical leadership and mentorship to junior and mid-level engineers, while partnering with cross-functional security researchers, data scientists, and senior leadership across…

…You'll build hyper-scale online systems, offline data pipelines, and ML infrastructure to transform core areas like ad retrieval, ad allocation, whole-page…

…data freshness alerts; provide ETA and updates to stakeholders as needed. Core hours: Work on active sprint deliverables — this may include writing CDK infrastructure…

…As an Applied Scientist on this team, you are an Industry Builder who owns the AI/ML core of these industry assets. You will…

…About the team The Automated Vehicle Testing Team is a mix of scientists and software engineers responsible for data infrastructure, tools, and research that…

…We are looking for an experienced Data Scientist to help architect state-of-the-art test infrastructure and lead the development of data models…

…Core AI Model Training team leads research and engineering across the full lifecycle of large language model development for enterprise use cases: data curation…

…4+ years' experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value…

…As a Senior Manager on the Data Science and Insights team, you'll lead a team of data scientists focused on a core pillar…

…Scientist, you will own significant parts of the agent harness — the infrastructure layer that enables AI agents to reason over real enterprise data, take…

…They partner across disciplines with other engineers, data scientists, designers, and product teams to ensure reliable, scalable, and secure infrastructure underpins every ML capability…

…Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better…

…Seek out and incorporate customer feedback into dataset construction, evaluation, and technique development. Lead technical excellence and contribute to experimentation infrastructure and proofs-of…

…At the core of insitro’s approach is the convergence of in-house generated multi-modal cellular data and high-content phenotypic human cohort…

…Shape Data & Evaluation Strategies: Define and execute data collection strategies across physical assets, test sites, and virtual simulations. Work with AI Infrastructure engineers to…

As an Applied Scientist on our team, you will leverage advanced analytics and machine learning to protect our cloud infrastructure from security threats. You…

…Preferred qualifications, capabilities, and skills Experience with Cloud services, Infrastructure as Code (IaC) and containerized application development Familiarity with relational databases (e.g., Postgres…

…Mentor senior engineers and applied scientists on building reliable, scalable, and reusable evaluation infrastructure. Stay current with LLM evaluation methods, agentic systems, RAG evaluation…

…Together, the team covers the full chain from data to shipped product. Your core focus is on building and shipping AI-powered features, with…

…Own evaluation as a core technical discipline. Build the benchmarks, quality metrics, judge methodologies, experiment infrastructure, and human evaluation pipelines that answer whether model…

…At the core of insitro’s approach is the convergence of in-house generated multi-modal cellular data and high-content phenotypic human cohort…

…Proficiency in modern ML frameworks (e.g., PyTorch, TensorFlow), data processing systems, and cloud‑scale infrastructure. Demonstrated ability to lead cross‑functional initiatives and…

…Create experimentation, monitoring and analysis infrastructure for analyzing ongoing deployed models. Partnering with product data scientists to develop and productionize pricing and matching models…

…It targets Data Engineers, Data Scientists, SQL Analysts and IT Administrators with persona driven experiences Key job responsibilities - Lead and grow a software development…

…Production Alize models built by data scientists, including validation readiness and quality controls prior to live usage. Design and own reusable ML platform components…