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About the Role
Snap Inc. is seeking a Machine Learning Engineer to build and deploy ML models that power core products, serving millions of Snapchatters. This role involves applying modern ML techniques to solve large-scale, real-world problems and owning the full ML lifecycle from data analysis to production deployment.
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
- Utilize AI tools to design and ship scalable services while upholding rigorous standards for code correctness, security, and production
Requirements
- Strong understanding of machine learning approaches and algorithms
- Able to prioritize 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
- Proficiency in, or a strong aptitude for, leveraging AI tools to streamline development, paired with the critical judgment to audit generated output for architectural integrity, performance bottlenecks, and security risks
- Adaptability in learning and applying evolving AI systems and tools to remain at the forefront of engineering trends and modern development practices
- 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
- Advanced degree in computer science or related field
- Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
- Experience working with machine learning, ranking infrastructures, and system design
Skills
- Machine learning
- AI tools
- TensorFlow
- Caffe2
- PyTorch
- Spark ML
- scikit-learn
Location
- United States
Work Type
- Onsite (4+ days per week)
Experience Level
- 5+ years of post-Bachelor’s machine learning experience
- Master’s degree in a technical field + 4+ year of post-grad machine learning experience
- PhD in a relevant technical field + 1 years of post-grad machine learning experience
Education Level
- Bachelor's Degree in a relevant technical field such as computer science
- Master's degree in a technical field
- PhD in a relevant technical field
Salary/Compensations
- Zone A (CA, WA, NYC): $209,000-$313,000 annually
- Zone B: $199,000-$297,000 annually
- Zone C: $178,000-$266,000 annually
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 (RSUs)
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.
- The Company operates Snapchat, a visual messaging app, Specs Inc., a 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
- 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).