This role develops ML and AI services for user experiences, builds data/model pipelines, and deploys solutions, focusing on real-world problem solving
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
At Veeva Link, we're building the intelligence layer for life sciences, creating connected data applications that accelerate drug development and significantly improve patient outcomes. Our core belief: combining the highest quality data with state-of-the-art software delivers immense value.
We believe execution matters most. Progress comes from speed, accuracy, and quality in what we build every day. Our engineering approach emphasizes clear product definitions leading to meticulous technical designs. We leverage a modern tech stack to deliver inherently reliable applications and a great user experience.
Our work spans two critical areas:
Data-Driven Insights
We develop sophisticated applications that map and understand global scientific and medical expertise, providing high-impact insights and AI-generated intelligence. Engineers here tackle complex data modeling, entity resolution, and advanced machine learning.
Intelligent Business Workflows
We engineer workflow applications powered by our data, using AI to find patterns and route information precisely. This involves designing scalable pipelines and intelligent automation.
Why Join Veeva Link?
Build products that create significant positive impact in global healthcare.
Work in an environment led by a CEO with an engineering background.
Work Anywhere means you can work in an office or at home on any given day.
Empowered Autonomy: Tech decisions are made within teams, giving engineers significant autonomy.
Collaborate with highly skilled teammates who take pride in achieving great outcomes. Excellence matters.
What You’ll Do
- This role is critical in making ML and AI services to power engaging user experiences
- Working from end-to-end on live production services. Not just modeling, not theoretical
- The work you do will directly impact our customers' day-to-day experiences
- Define the best approach to solve problems with ML. Build data and model pipelines
- Test and Validate services. Deploy and monitor solutions for impact
- Work within a cross-functional application team to build scalable language services in the range of NLP, NLU, and NLG for live SaaS products
- Help develop and groom an experiment backlog
- Build models that solve real-world problems
- Optimize models for production throughput and uptime requirements
- Automate deployments, testing, and monitoring (MLOps)
Requirements
- 5+ years of developing data & analytics products like sentiment analyzers, translation engines, summarizers, or other language services
- Expert in Machine Learning, Modeling, and development with Python
- Expert in MLOps with at least one platform, e.g.: MLflow, Kubeflow, or end-to-end automation with SageMaker services
- Ability to mentor others and work independently
- 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
- Knowledge of relevant regulations in AI/ML and incorporating compliance into MLOps processes
- Bachelor’s degree or higher in computer science, engineering, or information systems
#LI-Remote
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 [email protected].
Top Skills
AWS
Kubeflow
Mlflow
Python
Sagemaker
Veeva Boston, Massachusetts, USA Office
Our main office is located in downtown Boston and is within walking distance to great restaurants and cafes. Few minute walk to three T Stations.
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