Principal Software Engineer - Machine Learning - Pleasanton Hub
California - Pleasanton
Applications have closed
Veeva Systems
Veeva Systems Inc. is a leader in cloud-based software for the global life sciences industry. Committed to innovation, product excellence, and customer success, Veeva has more than 1,100 customers, ranging from the world's largest...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 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.
Tags: AWS Classification Computer Science Docker ELK Engineering Kubernetes Machine Learning MXNet NLP Pipelines Python SageMaker Scikit-learn Statistics TensorFlow
Perks/benefits: Career development Flex vacation
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