Machine Learning Engineer supporting the Enterprise Machine Learning team in developing advanced solutions. Collaborating with stakeholders and driving data science initiatives in a hybrid work environment.
About the role
- Principal Machine Learning Engineer driving technical direction for core Snap products. Set vision and develop ML technology for millions of Snapchatters.
Responsibilities
- Set and drive the technical direction for machine learning technology that power core Snapchat products, serving millions of Snapchatters
- Design, build, and deploy high-impact ML solutions
- Own outcomes for large, cross-team ML initiatives, from problem definition through long-term iteration and impact
- Establish technical vision and roadmaps, and resolve complex technical tradeoffs across teams
- Provide technical direction that influences the entire company
Requirements
- BS in technical field such as computer science, mathematics, statistics or equivalent years of experience
- 9+ years of post-Bachelor’s machine learning experience; or a Master’s degree in a technical field + 8+ year of post-grad ML experience; or a PhD in a related technical field + 5+ years of post-grad ML experience
- 2+ years of experience as a technical lead
- Strong understanding of machine learning approaches and algorithms
- Excellent programming and software design skills, including debugging, performance analysis, and test design
- Proven track record of operating highly-available systems at scale
- Ability to proactively learn new concepts and technology and apply them at work
- Skilled at solving ambiguous problems
- Strong collaboration and mentorship skills.
Benefits
- paid parental leave
- comprehensive medical coverage
- emotional and mental health support programs
- compensation packages that let you share in Snap’s long-term success
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