PA
PartSpaceMachine Learning Engineer – m/f/d
Machine Learning Engineer responsible for optimizing AI pipelines at Easy2Parts. Join a growing team to revolutionize component sourcing with AI technology.
About the role
- Conduct exploratory data analyses and proof-of-concept machine learning models to understand opportunities and potential project impact
- Collaborate with cross-functional partners (product, engineering, design, legal, trust and safety) to design effective machine learning solutions
- Analyze and prepare training data, including using crowdsourcing data labeling techniques
- Train and iterate on machine learning models using novel techniques
- Deploy machine learning models to production and write backend code when necessary
- Debug models when observability shows performance gaps, and iterate on models
- Monitor model performance and participate in A/B testing and iteration
Requirements
- Experience working in an end-to-end machine learning team environment: analyzing data, building and iterating on machine learning models, writing production-level code and shipping to production, monitoring performance, and A/B testing
- Write clean and robust code in Python or other programming languages and participate in code reviews
- Experience debugging complex systems with a systematic approach
- Curious mindset and ability to dive deeply into datasets
- Solid communication skills and ability to write clear documentation
- Growth mindset and desire to continuously improve soft and technical skills
- Energized about building first versions of systems and empowering creators with ML solutions
- Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or the equivalent
- Must be able to be in-office 2 days per week (Monday and Wednesday)
- Willingness/ability to answer work authorization questions (sponsorship question present in application)
Benefits
- competitive benefits package
- equity plans
- healthcare
- flexible time off
- company holidays and recharge days
- commuter benefits
- lifestyle stipends
- learning and development stipends
- patronage
- parental leave
- 401k plan with matching
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NO
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