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Staff Machine Learning Engineer

Apply Now Job ID R-339248 Date posted 05/31/2019

Job Description Summary

Bring machine learning models into production together with a multi-disciplinary team of data scientists, software development engineers, and subject domain experts.

Job Description

Responsibilities

Bring machine learning models into production together with a multi-disciplinary team of data scientists, software development engineers, and subject domain experts.

  • Ensure the Machine Learning code, models and pipelines are deployed successfully into production, and troubleshooting issues that arise.
  • Actively architect and deliver state of the art machine learning solutions designed to add intelligence to our healthcare software product line
  • Automate model training and testing and deployment via machine learning continuous delivery pipelines.
  • Establish meaningful criteria for evaluating algorithm performance and suitability
  • Implement working, scalable, production-ready Machine Learning and AI Process Automation models and code
  • Optimize processes for maximum speed, performance and accuracy
  • Participate in the end to end software development of new feature functionality and design capabilities
  • Craft clean, testable and maintainable code
  • Keep up to date with Machine Learning best practices and evolving open source frameworks
  • Work in an agile team in a scrum process, collaborating closely with fellow software engineers, data scientists, data engineers and QA engineers

Minimum Qualifications

  • MS in Computer Science, related Engineering or highly quantitative fields
  • Eight years’ experience in developing machine learning and statistical applications with Master’s degree. Six years’ experience with Ph.D.
  • Four years ‘experience building production large scale deployment of machine learning products
  • Computer Science fundamentals in object-oriented design, data structures, high-performance computing
  • Expert in Python and/or R
  • Knowledge of professional software engineering practices and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
  • Machine learning education
  • Automating machine learning models
  • Hands-on experiences with AWS and cloud infrastructure
  • Experience working in agile/scrum teams

#LI-TECH

Primary Work Location

USA CA - San Diego TC Bldg C&D

Additional Locations

Work Shift

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Becton, Dickinson and Company is an Equal Opportunity/Affirmative Action Employer. We do not unlawfully discriminate on the basis of race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, or any other protected status.

All applicants should complete the on-line application process. BD is committed to working with and providing reasonable accommodations to individuals with disabilities. If you require assistance or an accommodation because of a disability to participate in the application process, please call 855-BD-HELPS (855-234-3577) or email asc.americas@bd.com