Machine Learning Engineer

Location: London, G

Company: Snap Inc

Date: T03:58:19.176Z

Location (Country): London, United Kingdom

Employment Type: Full time

Job : R0046894

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.

The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned 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 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.

• Build and deploy machine learning models for core Snapchat products
• Apply established ML techniques to solve well-defined, real-world problems
• Contribute to the ML lifecycle, including data analysis, model training, evaluation, and production deployment
• Collaborate with cross-functional partners and teammates to implement 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
• Able to prioritise 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
• 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
• 2+ years of post-Bachelor's machine learning experience; or Master's degree 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

• Advanced degree in computer science or related field

If you have a disability or special need that requires accommodation, please don't be shy and provide us some information.

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. 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.