Less Likes. More Love.
Snap Inc. Logo

Snap Inc.

Staff Software Engineer, ML Infrastructure, Level 6

Posted 6 Days Ago
Be an Early Applicant
Hybrid
4 Locations
195K-343K Annually
Expert/Leader
Hybrid
4 Locations
195K-343K Annually
Expert/Leader
The Staff Software Engineer will design and optimize ML Infrastructure, develop high-performance inference systems, and collaborate with ML engineers on production models.
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 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.

You’ll play a critical role in scaling our ML Infrastructure, optimizing AI training and inference systems, and driving innovations that make Snapchat’s ranking and recommendation systems more efficient and impactful.

We’re looking for a Staff Software Engineer, ML Inference to join Snap Inc! 

What you’ll do:

  • Design and optimize infrastructure systems for machine learning workloads at scale and drive reliability and efficiency improvements across Snapchat’s ML Infrastructure

  • Develop high-performance inference systems to ensure fast and efficient AI model serving

  • Build infrastructure to perform scalable ML model training, evaluation, and inference in the cloud 

  • Develop high-performance inference systems to ensure fast and efficient model serving

  • Work closely with ML engineers to deploy cutting-edge models into production

Knowledge, Skills & Abilities:

  • Strong understanding of modern machine learning architectures and the ability to optimize performance, especially for inference tasks.

  • Drive ownership of projects from start to finish, actively seek out any missing knowledge to successfully complete the work.

  • Bring experience in designing, building, monitoring, and troubleshooting production-level distributed systems. Preferred if you've worked on systems where performance and scale is critical.

  • Strong programming skills in C++, Go, or Java.

  • Familiarity with cloud technologies like Docker, K8 etc.

Minimum Qualifications:

  • Bachelor’s degree in a technical field such as computer science or equivalent experience

  • 9+ years of post-Bachelor’s software development experience; or Master’s degree in a technical field + 5+ year of post-grad software development experience; or PhD in a relevant technical field+ 2+ years of post-grad software development experience

  • Experience building large scale production machine learning systems, distributed systems or big data processing

Preferred Qualifications:

  • Masters/PhD in a technical field such as computer science or equivalent industry experience

  • Strong and proficient experience in TensorFlow, PyTorch and the Inference related software stacks such as Tensor RT, NVIDIA Triton, TensorFlow Serving, VLLM, etc 

  • Experience working with ML Inference and Training.

  • Familiarity with ML frameworks such as TensorFlow, PyTorch, Caffe2, Spark ML, scikit-learn, or related frameworks

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

C++
Docker
Go
Java
Kubernetes
Nvidia Triton
PyTorch
Tensor Rt
TensorFlow
Tensorflow Serving
Vllm
HQ

Snap Inc. Santa Monica, California, USA Office

Snap LA is located in the Santa Monica Business Park. We're across the street from a ton of great restaurants, coffee shops, Clover Park, and more!

Machine Learning @ Snap

At Snap, Machine Learning Engineers are innovators, transforming massive amounts of data into intelligent, personalized experiences for over 850 million users. From revolutionizing content and ad platforms to enhancing search, our team leverages state of the art machine learning models to drive snapchat’s mission forward: to empower people to express themselves, live in the moment, learn and enjoy the world together. By pioneering technology that understands and anticipates user needs, Snap’s ML team fuels moments of discovery, connection, and joy - impacting lives and advancing human progress every day.

Similar Jobs at Snap Inc.

Yesterday
Hybrid
3 Locations
195K-343K Annually
Senior level
195K-343K Annually
Senior level
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Manage and mentor a team of developers, lead technical initiatives, evaluate tradeoffs, and collaborate with multiple stakeholders to deliver high-quality software products.
Top Skills: Mobile Client EngineeringSoftware Engineering
Yesterday
Hybrid
6 Locations
178K-313K Annually
Senior level
178K-313K Annually
Senior level
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
The Machine Learning Engineer will create models for users and advertisers, evaluate technical tradeoffs, ensure code quality, and build scalable products.
Top Skills: Caffe2PyTorchScikit-LearnSpark MlTensorFlow
Yesterday
Hybrid
6 Locations
195K-343K Annually
Senior level
195K-343K Annually
Senior level
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
The Staff Machine Learning Engineer will create models for user and advertiser value, perform code reviews, build scalable products, and solve ambiguous problems.
Top Skills: Caffe2PyTorchScikit-LearnSpark MlTensorFlow

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account