Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Machine Learning Engineer role.
Rezi rewrites your resume against Snap Inc.'s job description. Free.

Tailor your resume to this Machine Learning Engineer role.
Rezi rewrites your resume against Snap Inc.'s job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Machine Learning Engineer posting at Snap Inc. — free, in seconds.

Don't guess if your resume is good enough.
See how it scores against the Machine Learning Engineer posting at Snap Inc. — free, in seconds.
About the Role
Snap Inc. is seeking a Machine Learning Engineer to build and deploy machine learning models for core Snapchat products, applying established ML techniques to solve real-world problems and contributing to the full ML lifecycle.
Responsibilities
- Build and deploy machine learning models for core Snapchat products
- Apply established ML techniques to solve well-defined, real-world problems
- Contribute to the ML lifecycle, including data analysis, model training, evaluation, and production deployment
- Collaborate with cross-functional partners and teammates to implement and launch ML-driven features
- Utilize AI tools and high velocity engineering workflows to design and ship scalable services while upholding rigorous standards for code correctness, security, and production ready quality code
Requirements
- Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience
- 2+ years of post-Bachelor’s machine learning experience; or Master’s degree in a relevant technical field
- Experience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learning
- Advanced degree in computer science or related field
Skills
- Strong understanding of machine learning approaches and algorithms
- Able to prioritise duties and work well on your own
- Ability to work with both internal and external partners
- Skilled at solving open ambiguous problems
- Strong collaboration and mentorship skills
- Adaptability in learning and applying evolving AI systems and tools to remain at the forefront of engineering trends and modern development practices
Location
- Office
Work Type
- Hybrid
Experience Level
- 2+ years of post-Bachelor’s machine learning experience
Education Level
- Bachelor's Degree in a relevant technical field
- Master's degree in a relevant technical field
- Advanced degree in computer science or related field
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
About the Company
- Snap Inc. is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.
- The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.
- Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.
Equal Opportunity
- At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EEO, including disability/vets.