Machine Learning Engineer, Level 4

We're looking for a Machine Learning Engineer to join Snap Inc!

- 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 and high velocity engineering workflows to design and ship scalable services while upholding rigorous standards for code correctness, security, and production ready quality code

- Strong understanding of machine learning approaches and algorithms

- 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

- 3+ years of post-Bachelor's machine learning experience; or Master's degree in a technical field + 2+ year of post-grad machine learning experience; or PhD 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

- 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

Zone A (CA, WA, NYC) : The base salary range for this position is $173,000-$259,000 annually.

Zone B : The base salary range for this position is $164,000-$246,000 annually.

Zone C : The base salary range for this position is $147,000-$220,000 annually.