• Lead a cross-functional team to build scalable language services in the areas of NLP, NLU, and NLG for live Saa S products
• Build models that solve real-world problems
• Help develop and groom an experiment and product feature backlog
• Optimize models for production throughput and uptime requirements
• Automate deployments, testing, and monitoring (MLOps)

• 8+ years of developing data & analytics products like sentiment analyzers, translation engines, summarizers, or other language services
• 3+ years of leading teams to produce data and analytics software products
• Expert in Machine Learning, Modeling, and development with Python
• Knowledge of relevant regulations in AI/ML and incorporating compliance into MLOps processes
• Strong communication skills

• Production experience with any of the following is a plus: Gen AI, LLMs, Recommendation Engines, AWS offerings for AI and ML including Sage Maker, Bedrock, Lex
• Bachelor’s degree or higher in computer science, engineering, or information systems

Work Where It’s Best for You

Work Anywhere means you can work in an office or at home on any given day. It’s about getting the work done in the way and place that works best for each person. This applies across all locations and departments.
Work Anywhere does not mean work at any time. We have predictable core hours where employees are generally available for meetings and collaboration. Employees are focused and available during core hours.
We invest in our offices to make them places where our employees like to go. If you work in the office three or more days a week, you will have a dedicated office workspace. Our offices function as hubs to draw people in, create social bonds, and where random connections and mixing of ideas happen. We’re investing more in offices, culture, and offsite meetings, not less.
Product teams are organized in regional product hubs for optimal collaboration and live within a time zone of their hub. Our current product hubs are located in Pleasanton, Columbus, Boston, Kansas City, New York City, Raleigh, and Toronto. We create opportunities for teams to get together in person regularly.
Customer-facing roles, such as Sales and Professional Services, live near and/or travel to their customers.
When an employee moves within a country it does not cause a change in salary. Where you live impacts you and your family. Not knowing if your compensation will change if you move can cause stress and uncertainty for everyone. We wanted to eliminate that.
Work at Veeva. Work where it’s best for you.