Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities. The Role Lead the charge in building impactful AI solutions. Drive the development of innovative services that help our clients bring life-changing products to market faster than ever before. Join Link Engineering as a Lead Data Scientist/Machine Learning Engineer to spearhead complex problem-solving and bring AI-powered features to life in large-scale software products.
What You’ll Do
Lead a cross-functional team to build scalable language services in the areas of NLP, NLU, and NLG for live SaaS 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)
Requirements
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
Nice to Have
Production experience with any of the following is a plus: GenAI, LLMs, Recommendation Engines, AWS offerings for AI and ML including SageMaker, Bedrock, Lex
Bachelor’s degree or higher in computer science, engineering, or information systems
#RemoteUK Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world. As an equal opportunity employer, Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at talent_accommodations@veeva.com.
