• Develop and manage ML infrastructures and CI/CD pipelines to support multiple data products
• Build fully automated, scalable, cost-effective, and fault-tolerant solutions in AWS to process billions of records
• Provide engineering mentorship and guidance to data scientists
• Develop LLM-based agents capable of performing function calls and utilizing tools such as browsers for enhanced data interaction and retrieval
• Experience with Reinforcement Learning from Human Feedback (RLHF) methods such as Direct Preference Optimization (DPO) and Proximal Policy Optimization (PPO) for training LLMs based on human preferences
• Collaborate with data scientists, data engineers, and product/operation teams

• Agile mindset
• Professional in ML operationalization, including CI/CD pipelines and workflow/model management, stacks such as Airflow and MLf Low
• Professional in distributed computing platforms (Ray and Spark) as well as Kubernetes for inference
• Solid understanding and experience in deep learning frameworks (e.g., Py Torch, JAX,...)
• Hands-on experience in in-house training and inference of LLMs
• 3+ years of experience as a Machine Learning Engineer or relevant jobs
• 2+ years of experience in cloud development, ideally in AWS
• Strong analytical skills and data curiosity
• Strong collaboration skills as well as verbal and written communication skills
• Used to start-up environments
• Social competence and a team player
• High energy and ambitious

• Experience in the life/health science industry, notably pharma
• Strong theoretical knowledge of Natural Language Processing, Machine Learning, or Reinforcement Learning
• Experience with No SQL databases
• Familiarity with architectural choices, particularly for ML systems
• Leadership skills and a solid network to help in hiring and growing the team

• Work anywhere
• Personal development budget (equal to 2% of your salary and in addition to that)
• Veeva charitable giving program
• Fitness reimbursement
• Life insurance + pension fund

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.