1 day ago
Base Salary
$100k - $176k/yr
Responsibilities
- Build and deploy machine learning models for core Snapchat products.
- Apply established machine learning techniques to well-defined real-world problems.
- Perform data analysis, model training, evaluation, and production deployment across the ML lifecycle.
- Collaborate with cross-functional partners and teammates to implement and launch ML-driven features.
- Design and ship scalable services using AI tools and high-velocity engineering workflows while maintaining code correctness, security, and production quality.
Requirements
- Bachelor’s degree in a relevant technical field such as computer science or equivalent practical work experience.
- At least one year of post-bachelor’s machine learning experience, or a relevant master’s degree.
- Experience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications.
- Strong understanding of machine learning approaches and algorithms.
- Preferred: advanced degree in computer science or a related field.
- Preferred: experience with TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks.
- Preferred: experience with machine learning, ranking infrastructures, and system design.
Benefits
- Paid parental leave.
- Comprehensive medical coverage.
- Emotional and mental health support programs.
- Compensation packages including long-term-success participation through equity eligibility.
- Default-together work arrangement requiring at least four days per week in an office.
Tech Stack
Categories
About Snap
Snap Inc. builds Snapchat, a visual messaging app, and supports augmented reality through Lens Studio and Spectacles, plus related services like Bitmoji. The company monetizes primarily via advertising and sponsored AR experiences for consumers, creators, and brands. Founded in 2011 and headquartered in Santa Monica, it is publicly traded on the NYSE under the ticker SNAP.