Machine Learning Engineer developing advanced SLAM systems for autonomous trucking environments at Bot Auto. Collaborating with cross - functional teams to optimize mapping solutions and ensure operational stability.
About the role
- Staff Machine Learning Engineer at Snap Inc. driving technical direction for ML technology powering Snapchat. Designing and deploying solutions while mentoring across organizational boundaries.
Responsibilities
- Set and drive the technical direction for machine learning technology that powers 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
- Influence and mentor engineers across org boundaries through technical leadership and collaboration
Requirements
- Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience
- 8+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 7+ year of post-grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience
- Experience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learning
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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