MLOps Engineer integrating data and AI solutions for Globo's digital transformation. Focused on automated workflows and data management in a hybrid work environment.
About the role
- Staff Machine Learning Engineer driving engagement and user growth for Snapchat. Designing, building, and deploying impactful machine learning solutions in a team-oriented environment.
Responsibilities
- Set and drive the technical direction for a central machine learning team that drives Snapchat core engagement and user growth
- Design, build, and deploy high-impact ML solutions that connect users to the right product value at the right time
- 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
- Strong understanding of machine learning approaches and algorithms.
- Experience with recommender system, relevance system and leveraging LLM for text and video understanding.
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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