Principal Software Engineer - Machine Learning - Pleasanton Hub

California - Pleasanton

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Veeva Systems

Posted 1 month ago

Veeva is looking for a Principal Software Engineer that has a solid foundation in Machine Learning to join our team. We are building a leading-edge robust suite of Cloud Artificial Intelligence capabilities to accommodate multiple use cases analyzing customer data, providing insights, and streamlining business processes. These AI services will be used by enterprise pharmaceutical and biotech companies with the potential to revolutionize the Life Sciences industry.
Veeva is the leader in cloud-based software for the global Life Sciences industry. Our platform and applications allow customers to operate more efficiently and safely in order to bring life-saving diagnostics, treatments, and medicines to market faster than any time in history. This industry along with our vertical-specific software is in a period of unprecedented growth over the next five years, and we’re looking for mission-driven software development problem-solvers, thinkers, and doers to keep up with growth.
Veeva is a ‘Work Anywhere’ company, so you can connect with teams in our Pleasanton office while also having the flexibility to work from home. And as a Public Benefit Corporation, you will work for a company with purpose and focused on making a positive impact on society.

What You'll Do

  • Develop highly scalable systems, algorithms, and tools to support machine learning solutions
  • Develop, integrate, and optimize end-to-end AI pipelines
  • Partner with data science and domain engineering teams to support the business requirements
  • Participate in all aspects of the software development life cycle, from design to implementation
  • Provide mentorship and guidance to other developers and peers

Requirements

  • 7+ years of Software Engineering Experience
  • 3+ years of hands-on professional Machine Learning and Python experience
  • 5+ years of server-side programming experience in Java
  • Solid background in Machine Learning and related fields (the equivalent of a B.S. degree or above in Computer Science, Electrical Engineering, Machine Learning, Statistics, Data Science, or related engineering fields).
  • Hands-on experience with one or more ML frameworks such as Tensorflow, MXNet, Scikit-Learn
  • Strong engineering and coding skills, with the ability to write high-performance production code
  • Strong collaboration skills as well as verbal and written communication skills

Nice to Have

  • In-depth knowledge of deep neural networks, classification techniques, and natural language processing
  • Hands-on experience with Docker/Kubernetes or other container platforms
  • Experience with AWS (S3, Elastic Beanstalk, EKS, Sagemaker, ELK, etc) or similar cloud services

Learn More

Perks and Benefits

  • Work Anywhere
  • Flexible PTO
  • Allocations for continuous learning & development
  • Annual budget to donate to the non-profit of your choice 
Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.
Job tags: AI AWS Engineering Java Kubernetes Machine Learning ML MXNet Python SageMaker Scikit-Learn TensorFlow
Job region(s): North America
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