Lead Machine Learning Engineer
Employment type
Full-time
Work setting
On-site
Location
Madison, WI
Schedule
Day shift
Posted
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Job overview
The Lead Machine Learning Engineer role is hybrid in Madison, WI; compensation is not specified. Yahara Software works with life sciences and scientific instrumentation organizations to solve technical problems through software. The engineer leads machine-learning project delivery, setting technical direction, developing and evaluating models, mentoring engineers, and partnering with DevOps to put models into production.
What you'll do
- Design, train, and evaluate machine-learning models
- select appropriate modeling approaches
- prepare client data
- define evaluation measures
- partner with DevOps on deployment, monitoring, and retraining
- lead technical delivery
- mentor engineers
- communicate results and tradeoffs to clients
- contribute to presales
- and document technical decisions.
What we're looking for
- Skills & competencies
- lead machine learning engineerhybridmadison wiyahara softwaremachine learningmodel evaluationpythonpytorchtensorflowmlopslife sciencesno sponsorship
- Work arrangement
- Weekend coverage required
Benefits & perks
- 20+ days of PTO accruable in the first year, medical, dental and vision insurance, HSA contributions, 401(k) match, company-paid disability and life insurance, identity theft protection, home-office stipend, certification program, and employee assistance program.
Why this role
20+ days of PTO accruable in the first year; health insurance; HSA contributions; 401(k) match; company-paid disability, life insurance, and identity theft protection; hybrid/remote schedule with home-office stipend; certification program and other listed perks. Sponsorship is unavailable.
About the employer
Yahara Software is hiring for this role. Industry: Custom Computer Programming Services. Sector: 54.
Additional details
- Industry sector
- 54
- Industry
- Custom Computer Programming Services
- Occupation code
- 15-2051.00
You'll be redirected to the employer's application page.
Listing ID: c245e58b-edce-4866-bc20-87c8fc9dba14