Machine Learning Engineer, 3+ Years of Experience, Generative AI

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’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.

Snapchat is a camera and messaging app that connects people to their friends and the world. Every day around the globe, millions of people use Snapchat to communicate with friends, build relationships, play, and learn. No matter where you are or how you express yourself, it’s always the fastest way to share a moment!   

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

What you’ll do:

• Create models which help drive value for users, advertisers, and our company, focusing on using and adapting LLMs models for both text and multimodal challenges

• Promote proof of concepts and new features based on new LLM capabilities

• Evaluate the technical tradeoffs of every decision

• Perform code reviews and ensure exceptional code quality

• Build robust, lasting, and scalable products Iterate quickly without compromising quality

Knowledge, Skills & Abilities:

• Strong understanding of machine learning approaches and algorithms

• Strong understanding of LLM, multi-agent systems and chat systems

• Ability to work with both internal and external partners

• Skilled at solving open ambiguous problems

• Strong collaboration skills

Minimum Qualifications:

• Bachelor's degree in technical field such as computer science, mathematics, statistics or equivalent years of experience

• 3+ years machine learning experience in industry specializing in LLM models, architectures, and their applications

Preferred Qualifications:

• Advanced degree in computer science or related field

• Advanced degree specialization in NLP and multi-agent systems

• Experience working with machine learning frameworks such as PyTorch, TensorFlow, scikit-learn, or related frameworks

• Experience in working with LLMs - both models and services.

• Experience working with machine learning, ranking infrastructures, and system design

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

"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week. 

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.

Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!

Compensation

In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.

Zone A (CA, WA, NYC):

Zone B:

Zone C:

This position is eligible for equity in the form of RSUs.