Machine Learning Engineer

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
• (Desirable) Advanced degree in computer science or related field
• (Desirable) Experience working with machine learning frameworks such as Tensor Flow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
• (Desirable) Experience working with machine learning, ranking infrastructures, and system design

• Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snap chatters 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
• 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 Snap chatters
• 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