…Working knowledge of core machine learning concepts such as regression, classification, feature engineering, model evaluation, and experimentation. Proven experience designing and maintaining automated build…

…Day to day, you'll also work with product designers, product managers, and engineers across the organization. Initially, you will be focused on handling…

…data available from logs and use that to inform research thinking, validate hypotheses, and triangulate with experimental/unmoderated test data. Look through other data…

…how developers interact with the next generation of software engineering tools. Use data, telemetry, experimentation, and customer feedback to evaluate feature adoption, measure impact…

…Make Wayve the experience that defines your career! The Role As a Data Scientist supporting AI engineers, you will partner with one or more…

…multi-engineer, multi-week+ projects with measurable business impact, balancing speed and quality. Strong product instincts and comfort in highly experimental, data‑driven environments…

…5 years of professional software engineering experience, with hands-on coding ability across the stack you're deployed into Experience with feature flagging, experimentation…

…on the Snowflake AI Data Cloud, enabling businesses to troubleshoot modern distributed applications 10x faster. Now, as a core part of Snowflake, we’ve…

…Familiarity with A/B experimentation and data-driven product development.

…Are you passionate about helping organizations unlock the power of AI through modern data architecture? Snowflake is looking for a customer-facing Solution Engineer…

The Team + The Role Pendo’s Customer Engineering team is the technical backbone of the pre- and post-sales customer motion. The team brings…

…on the Snowflake AI Data Cloud, enabling businesses to troubleshoot modern distributed applications 10x faster. Now, as a core part of Snowflake, we’ve…

…Examples include Customer Data Platforms, cross-industry Data sharing, AI, personalization, etc. - Proven track record of meeting booking, utilization, and consumption (or similar) targets…

…You’ll shape REW’s Data Science roadmap, identify where forecasting, experimentation, and optimization can drive impact, and translate business priorities into an analytical…

…systems, experimentation platforms, real-time data, and AI/ML infrastructure, and proactively identify opportunities to advance Webflow's backend platform and engineering practices. Translate…

…You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you…

…The engineer will perform analyses to support core design, fuel cycle, target performance, shielding, and sensitivity/uncertainty quantification across the reactor lifecycle and isotope…

…We are looking for a Principal Software Engineer to join the Managed Apps team, responsible for the core platform, runtime, SDK, CLI, governance, security…

…Collaborate closely with cross-functional partners (engineering, data science, experimentation, product, and infrastructure) to align technical solutions with business goals. Provide technical leadership and…

…Familiarity with a core data or AI domain: modern data engineering, streaming, machine learning, or Generative AI (e.g. RAG, fine-tuning, LLMOps). Experience…

…As a Snowflake Solution Engineer you must share our passion about reinventing the database space, thrive in a dynamic environment and have the flexibility…

…selling data, analytics, AI/ML, or cloud infrastructure solutions - Understanding of modern data stack architecture (data warehousing, ELT, BI tooling, data engineering) - Demonstrated use…

…This is hands-on engineering with direct business impact, not experimentation. Responsibilities: DESIGN AND DEPLOY AI-POWERED HR SOLUTIONS - Architect and build agentic workflows…

…R&D automation systems for experiment tracking, data collection, and process control. Collaborate with process engineers on recipe development and optimization. A day in…

…Collaborate with our engineering and platform teams to define and plan for robust solutions and scale core capabilities: model inference, data pipelines, responsible AI…