Machine Learning Engineer designing and optimizing deep learning models for safety - critical environments at Destinus. Shaping the future of high - speed, autonomous flight technologies.
About the role
- Machine Learning Engineer building and deploying machine learning models for Snap Inc. Collaborating across teams to prototype and launch ML-enhanced features for millions of users.
Responsibilities
- Build and deploy machine learning models that power core products, serving millions of Snapchatters
- Apply modern ML techniques to solve large-scale, real-world problems
- Own the full ML lifecycle from data analysis to production deployment
- Partner with cross-functional teams to prototype and launch ML-driven features
Requirements
- Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience
- 5+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 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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