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

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Join Snap Inc. as a Machine Learning Engineer – Generative AI

Snap Inc. is a technology company dedicated to enhancing the way people live and communicate. Our mission leverages the camera to enable self-expression, real-time experiences, global learning, and shared fun. Our core products include:

  • Snapchat: A visual messaging app that strengthens your bonds with friends, family, and the wider world.
  • Lens Studio: An augmented reality platform driving AR innovation across Snapchat and other services.
  • Spectacles: Our AR glasses that bring augmented reality to new heights.

Snapchat connects millions worldwide, providing the fastest way to share spontaneous moments, build relationships, play, and learn.

Position: Machine Learning Engineer

Role Responsibilities:

  • Develop models to deliver value for users, advertisers, and the company, focusing on LLM adaptations for text and multimodal challenges.
  • Promote proofs of concept and innovate new features utilizing LLM capabilities.
  • Assess technical tradeoffs for every decision.
  • Perform code reviews ensuring exceptional code quality.
  • Build robust, scalable, and lasting products, iterating quickly without quality compromises.

Required Knowledge, Skills & Abilities:

  • Strong understanding of machine learning approaches and algorithms.
  • Expertise in LLM, multi-agent systems, and chat systems.
  • Capability to collaborate with both internal and external partners.
  • Proficiency in solving open and ambiguous problems.
  • Strong collaboration and teamwork skills.

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Mathematics, Statistics, or a related technical field, or equivalent years of experience.
  • 3+ years of industry experience in machine learning, specializing in LLM models and architectures.

Preferred Qualifications:

  • Advanced degree in Computer Science or related field.
  • Specialization in NLP and multi-agent systems.
  • Experience with machine learning frameworks like PyTorch, TensorFlow, or scikit-learn.
  • Hands-on experience with LLMs, both models, and services.
  • Proficiency in machine learning, ranking infrastructures, and system design.

If you require accommodation due to a disability or special need, please feel free to reach out.

"Default Together" Policy

At Snap Inc., we value in-person collaboration to build our culture, reinforce our values, and better serve our community, customers, and partners. Our "default together" policy means we expect team members to work in the office 4+ days per week.

Diversity and Equal Opportunity

We believe diverse backgrounds and voices foster innovative products that improve how people live and communicate. Snap Inc. is proud to be an equal opportunity employer. We are committed to providing employment opportunities regardless of race, religion, color, national origin, ancestry, disability, medical condition, gender, sexual orientation, age, veteran status, or other protected classifications, in compliance with federal, state, and local laws.

Benefits at Snap Inc.

At Snap Inc., we prioritize your well-being with benefits tailored to your needs, including:

  • Paid parental leave
  • Comprehensive medical coverage
  • Emotional and mental health support programs
  • Compensation packages including equity in the form of RSUs

Compensation

In the United States, salaries are determined by pay zones which reflect market conditions. Starting pay will be based on job-related skills, experience, qualifications, location, and more.

  • Zone A (CA, WA, NYC): $168,000 - $252,000 annually.
  • Zone B: $160,000 - $239,000 annually.
  • Zone C: $143,000 - $214,000 annually.

Join us and contribute to the future of communication