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Snap Inc.

Manager, Software Engineering, MyAI & LLM Infrastructure

Reposted 6 Days Ago
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Hybrid
5 Locations
Senior level
Hybrid
5 Locations
Senior level
Lead the Retrieval Infrastructure team to build scalable retrieval systems for Snap's recommendation systems, guiding machine learning engineers and software engineers.
The summary above was generated by 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.

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 it's AR glasses, Spectacles.

Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters 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 Software Engineering Manager to join the MyAI & LLM Infrastructure team at Snap!

What you’ll do:

  • Lead a team of machine learning engineers and software engineers to evolve Snap’s customer-facing LLM chatbot (MyAI), which has reached over 150 million users.

  • Build Snap’s LLM Infrastructure from the ground up, as we adopt LLMs across all of Snap to improve our content/user understanding, streamline content moderation and push the boundaries of how generative AI can enhance our recommendation systems.

  • Guide the team towards state-of-the-art LLM inference optimizations (e.g., quantization, batching, KV caching), distillation and fine-tuning to solve Snap’s business problems via LLMs

  • Work with product teams and engineers to make applications of GenAI/LLMs ubiquitous to Snapchat

  • Hire, grow and retain high-performing team members

Knowledge, Skills & Abilities:

  • Experience setting the direction for customer-facing product teams leveraging machine learning / ranking / generative AI

  • Possess a strong background in ML inference, production AI systems, and distributed systems.

  • Strong management and mentorship skills, fostering a collaborative and innovative team culture

  • Ability to effectively collaborate with stakeholders at all levels, both internally and externally

  • Ability to lead and execute large, complex technical initiatives

Minimum Qualifications:

  • Bachelors in a technical field such as Computer Science or equivalent experience

  • 8+ years of post-Bachelor’s software engineering experience; or Master’s degree in a technical field + 7+ year of software engineering experience

  • 2+ years of experience managing a team

Preferred Qualifications:

  • Track record of delivery in rapidly changing, highly collaborative, multi-stakeholder environments

  • Experience with building and maintaining mission-critical and highly-available global systems

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):

The base salary range for this position is $229,000-$343,000 annually.


 

Zone B:

The base salary range for this position is $218,000-$326,000 annually.

Zone C:

The base salary range for this position is $195,000-$292,000 annually.

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

Top Skills

Embedding-Based Retrieval
Hnsw
Machine Learning
Retrieval Systems
Scann
Vector Search Algorithms

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