Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Target Resume Now
About the Role
The Generative ML Platform team at Snap Inc. builds cutting-edge AI technologies for creative, scalable experiences used by millions of Snapchatters. We are seeking a Machine Learning Engineer to develop innovative machine learning technology and products, work on state-of-the-art generative pipelines, deliver on-device generative ML experiences, and build AR experiences using generative and diffusion models.
Responsibilities
- Develop innovative machine learning technology and products that serve millions of Snapchatters
- Work on state of the art generative pipelines for image, video, language or audio generation
- Deliver generative machine learning experiences on device
- Build cutting-edge augmented reality experiences using generative and diffusion models
- Partner with cross-functional Snap teams to explore and prototype new products
Requirements
- A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quickly
- Strong software development skills in Python or C++
- Proficiency working with major deep learning frameworks: PyTorch or TensorFlow
- Knowledge of mathematics and deep learning foundations
- Desire to solve open ambiguous problems
- Desire to grow professionally, learn and help others
- Ability to effectively collaborate with internal teams and external partners
- Ability to work independently
- Research or engineering experience in one or more of the following: generative models, efficient models, diffusion models, language models, or other related applications of machine learning
Skills
- Python
- C++
- PyTorch
- TensorFlow
- Generative models
- Efficient models
- Diffusion models
- Language models
- GenAI
- Image generation
- Video generation
- Language generation
- Audio generation
- Real-time software development for mobile applications
Location
- Zone A (CA, WA, NYC)
- Zone B
- Zone C
Work Type
- Office (4+ days per week)
Experience Level
- 3+ years of post-Bachelor’s machine learning experience
- Master’s degree in a technical field + 2+ year of post-grad machine learning experience
- PhD in a relevant technical field
Education Level
- Bachelor’s Degree in a technical field such as computer science, mathematics, statistics or equivalent years of experience
- Master's degree or PhD in a related technical field
Salary/Compensations
- Zone A (CA, WA, NYC): $173,000-$259,000 annually
- Zone B: $164,000-$246,000 annually
- Zone C: $147,000-$220,000 annually
- Eligible for equity in the form of RSUs
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 that believes 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.
Equal Opportunity
- 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.
- EOE, including disability/vets.
- We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).