Machine Learning (ML) Engineering Manager
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A Machine Learning (ML) Engineering Manager is a software engineering manager who manages ML engineers.
- Context:
- Theh can be related to a Data Science Manager.
- They can range from being a Junior ML Engineering Manager to being a Senior ML Engineering Manager (such as a ML Engineering Director).
- …
- Example(s):
- See: ML Ops & Platform Engineering Manager, ML Engineering Director.
References
2022
- (Apple, 2022) ⇒ "AI/ML - ML Engineering Manager - Personal and Private Learning."
- QUOTE: Key Qualifications
- At least 6 years of relevant industry experience; including multiple years leading technical teams and helping team members grow in their careers
- Demonstrated ability to build efficient teams and drive innovation in a fast-paced environment
- Ability to lead technical design discussions from concept to implementation
- Knowledge in machine learning and/or data science and the ability to effectively connect with partner teams
- Proven track record of successfully running product releases
- Excellent multi-functional interpersonal skills
- Description:
As an ML manager, you will build the technical vision, roadmap for the product and lead collaborative efforts with data science and ML partners across Siri. You are a strong problem solver and excellent at dealing with ambiguities while leading a group of smart ML engineers who are on the bleeding edge of AI innovation. You possess excellent communication skills and you enjoy bringing people together to deliver delightful experiences to users. - Education & Experience:
M.S degree or Ph.D. in Computer Science or equivalent experience
- QUOTE: Key Qualifications