Machine Learning Engineer, Level 5
$209,000–$313,000 year
On-siteSan Francisco, California, United States or Seattle, Washington, United States
Job Summary
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 and own the full lifecycle from data analysis to production deployment. Partner with cross-functional teams to prototype and launch ML-driven features while utilizing AI tools to design scalable services. Uphold rigorous standards for code correctness, security, and production integrity by auditing generated output for architectural risks. Prioritize duties independently and collaborate with internal and external partners to solve ambiguous problems. Work in an office four days per week in a team focused on diverse backgrounds and dynamic collaboration.
Required Qualifications
- 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
- Work in an office 4+ days per week
Desired Qualifications
- 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
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