Software Engineer, ML Infrastructure, Level 5

SNAP, Inc.; Los Angeles (CA); On-site; USD 209,000 - 313,000; Full time

Benefits offered by this job

Medical coverage

Parental leave

Equity/RSUs

Mental health support

Job summary

Snap Inc. is seeking a Software Engineer to join the ML Platform team, building foundational data platforms to support offline model training and online feature serving for millions of Snapchat users.

You will design infrastructure for ML workloads, develop high-performance inference systems, and enable scalable training and evaluation while optimizing storage and processing costs as Snap grows its ML capabilities.

Qualifications

• Bachelor’s degree in computer science or equivalent experience.
• 6+ years of post-Bachelor’s software development experience or 5+ with Master’s and 2+ PhD years.
• Experience building large scale production ML systems or distributed systems.

Responsibilities

• Design and optimize infrastructure systems for ML workloads at scale.
• Develop high-performance inference systems for fast model serving.
• Build infrastructure for scalable ML model training and evaluation.
• Develop data management systems for data collection, labeling, processing, and evaluation.
• Work on vector search algorithms to improve retrieval scalability.
• Collaborate with ML engineers to deploy models into production.

Skills

Python

Java

Scala

C++

Distributed systems

Spark

Flink

Ray

ML systems

Collaboration

Education

Bachelor's degree in CS or equivalent

Masters/PhD preferred

Tools

TensorFlow

PyTorch

Caffe2

Spark ML

scikit-learn

Job description

Palo Alto, California

Seattle, Washington

Los Angeles, California

Full time

Snap Inc (https://www.snap.com/en-US/) 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 operates Snapchat (http://snapchat.com/?lang=en-US) , a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc. (https://www.specs.com/) , a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji (http://bitmoji.com/) , Saturn, and other digital services.

Snap Engineering (https://eng.snap.com/) 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 (https://eng.snap.com/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 Software Engineer to join the ML Platform team. Our team builds the foundational data platforms (robusta/hashi, mds) to pump in the bloodstream - data to support offline model training and online feature serving. We provide the essential tools to help customers monitor and assure data quality (aegis), manage/register features, trace feature through its lifecycles and assist in feature deprecation. With the significant infra cost of this area, our team also focuses on continuous optimization of the storage/processing to sustain the ML growth of Snap.

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 AI model serving

• Build comprehensive data management systems for scalable data collection, labeling, processing, and evaluation

• Work on state-of-the-art vector search algorithms to improve the precision, recall and scalability of our retrieval systems

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

Knowledge, Skills & Abilities:

• Strong programming skills in Python, Java, Scala or C++ Strong problem-solving skills with a focus on system performance, scalability, and efficiency

• Good understanding of distributed systems and the infrastructure components of large-scale ML

• Experience with big data processing frameworks such as Spark, Flink, or Ray

• Ability to collaborate and work well with others

• Proven track record of operating highly-available systems at significant scale

• Ability to proactively learn new concepts and apply them at work

Minimum Qualifications:

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

• 6+ 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

• Experience working with ML Training platforms or optimizing AI model inference

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

“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.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).

Our Benefits (http://careers.snap.com/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) (https://careers.snap.com/us-payzones) :

The base salary range for this position is $209,000-$313,000 annually.

Zone B (https://careers.snap.com/us-payzones) :

The base salary range for this position is $199,000-$297,000 annually.

Zone C (https://careers.snap.com/us-payzones) :

The base salary range for this position is $178,000-$266,000 annually.

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

If you believe this job description is missing required pay transparency information, please submit a report through this form: Job Description Pay Range Disclosure (https://docs.google.com/forms/d/e/1FAIpQLSdOEWxjdfgw_nPe4q7ktiLTG4paeYR5SZAfSVwSROnDlTXisA/viewform) .

Curious what it's like to work at Snap? Meet the people behind our products and discover how our values shape the way we create, innovate, and connect.

SPECS (https://www.specs.com/) : See how Snap is bringing computing into the world around us with SPECS, our next-generation augmented reality glasses built for real life.

Snap News (https://newsroom.snap.com/) : Explore the latest stories about our products, innovation, and the people shaping what's next at Snap.

Applicant and Candidate Privacy Policy (https://careers.snap.com/privacy-policy)