Manager, Software Engineering, Machine Learning Infrastructure, AI Training Full-time

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, Machine Learning Infrastructure to join Snap!

What you’ll do:

• Manage and mentor a team of machine learning infrastructure engineers to build scalable, reliable and efficient machine learning training platform to support model training at Snap
• Set the strategy, build a roadmap, create measurable goals, and lead your team to deliver
• Establish good collaboration with Machine Learning Data, Machine Learning Inference, Ads Ranking, Content Recommendation and User Growth teams to enable more machine learning training and launches.
• Evaluate the technical tradeoffs of major decisions and be a strong technical mentor
• Hire, grow and retain high-performing team members

Knowledge, Skills & Abilities:

• Background with building high availability and mission critical systems
• Experience with leading an engineering team
• Ability leading and executing large, complex technical initiatives

Minimum Qualifications:

• Bachelors in a technical field such as Computer Science or equivalent experience
• 8+ years of experience working in software engineering
• 2+ years of experience managing a team
• Experience with distributed systems and backend development

Preferred Qualifications:

• Masters/PhD in a technical field such as computer science or equivalent industry experience
• Experience working on online ranking/recommendations systems
• Experience building large scale production machine learning systems or data pipelines
• Familiarity with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
• Experience in at least one of the following areas:
  • Infrastructure and large-scale system design
  • Experience with key infra technologies like NoSQL solutions, Memcache/Redis, kafka, Kubernetes, Google/AWS services
  • Experience building large scale production data pipelines
  • 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.