Machine Learning Engineer, 3+ Years of Experience, Generative AI - Snap : Job Details

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

Snap

Job Location : New York,NY, USA

Posted on : 2025-04-29T00:57:21Z

Job Description :
Machine Learning Engineer, 3+ Years of Experience, Generative AI

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Location: New York, New York

Time Type: Full time

Posted: 3 Days Ago

Job Requisition ID: R0035767

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.

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 provide us with 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.

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.

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.

Zone A (CA, WA, NYC): The base salary range for this position is $168,000-$252,000 annually.

Zone B: The base salary range for this position is $160,000-$239,000 annually.

Zone C: The base salary range for this position is $143,000-$214,000 annually.

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

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