Senior Software Engineer - Machine Learning - Pleasanton Hub

California - Pleasanton

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Veeva Systems
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Posted 2 weeks ago

Work Anywhere. Our engineering teams are organized around hubs for community and collaboration. Work anywhere means you can work at home or the office on any given day, but should live within commute distance to one of our hubs: Pleasanton, Columbus, Boston, NYC, Raleigh or Toronto. 
We are looking for a Senior 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.
This is a remote position.

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

  • 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 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 & Benefits

  • Flexible PTO
  • Allocations for continuous learning & development
  • Annual budget to donate to the non-profit of your choice 
Veeva builds enterprise cloud technology that powers the biggest names in the pharmaceutical, biotech, consumer goods, chemical & cosmetics industries. Our customers make vaccines, life-saving medicines, and life-enhancing products that make a difference in everyday lives. Our technology has transformed these industries; enabling them to get critical products and services to market faster. Our core values, Do the Right Thing, Customer Success, Employee Success, and Speed, guide us as we make our customers more efficient and effective in everything they do.  
Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
Job tags: AI AWS Engineering Java Kubernetes Machine Learning ML MXNet Python Scikit-Learn TensorFlow