Staff Machine Learning Engineer at Becton Dickinson
About the role
Staff Machine Learning Engineer at Becton Dickinson will lead design, development, and deployment of ML solutions across the Connected Care portfolio, owning the full lifecycle from experimentation to production. The role combines hands-on technical leadership with mentorship, applying classical and deep learning methods to forecasting, optimization, and anomaly detection in a regulated healthcare environment. Responsibilities Design, train, and validate demand forecasting, optimization, and an…
Interview process at Becton Dickinson
General interview process (this company's specific loop isn't published - reach out if you have insider info).
- Recruiter phone screen - typically 20-40 min
- Technical screen - 1 coding problem or take-home; format varies by company
- Onsite / virtual loop - typically 4-6 rounds over 2-3 weeks; exact split of coding, systems design, and behavioral varies by role and location
Platforms used: unknown — MiPrep tested compatible with major platforms
How to prepare
MiPrep helps you rehearse the specific cadence and question types Becton Dickinson interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.