Machine Learning Engineer at DentalMonitoring developing and improving ML models for orthodontic treatment solutions. Engage in deep learning and computer vision tasks within a hybrid work environment.
About the role
- Staff Machine Learning Engineer enhancing machine learning capabilities for ad optimization at Snap. Designing and deploying ML solutions while mentoring cross-organizational engineering teams.
Responsibilities
- Set and drive the technical direction for the Ad Ranking team and advance the core ML capabilities of the ad optimization stack
- Design, build, and deploy machine learning solutions to support Snap's monetization strategies
- 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+ years 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, advertising, 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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