Machine Learning Infrastructure Engineer, Augmented Reality, 7+ Years of Experience

 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’s Augmented Reality team invents the immersive (and fun!) camera experiences that are at the core of our products. From developing creative new Lens features for Snapchat, to supporting the continuous growth and evolution of Lens Studio (our platform for an ever-increasing community of AR creators), to designing the cutting-edge computer vision and machine learning technology that makes face transformation Lenses possible — our Augmented Reality team is working hard on their mission to bring AR to more people, places, and moments, every day.

We’re looking for a Machine Learning Infrastructure Engineer, specializing in large-scale training infrastructure to join our Augmented Reality team!

What you’ll do:

• Build infrastructure and tooling to support the training of cutting edge ML models

• Create pipelines for ingestion of massive amounts of data and distributed training 

• Build reusable infrastructure for testing, validation distillation and quantization of models

• Support internal product and research efforts related to our AR/ML platform roadmap

• Combine strong software engineering principles with machine learning to build scalable, reproducible and easy-to-use end-to-end machine learning workflows for advanced deep learning and computer vision problems 

• Advocate for and apply best practices when it comes to availability, scalability, operational excellence, and cost management

Knowledge, Skills & Abilities:

• Excellent software design, development and debugging skills 

• Proven track record of developing highly available systems which deal with large amounts of data

• Ability to hit the ground running and learn new skills and concepts quickly

• Ability to collaborate well with teammates and customers from different domains

Minimum Qualifications:

• BS/BA degree in a technical field such as computer science or equivalent years of experience

• 7+ years of relevant industry experience

• Experience with Python, C++ or equivalent combined with a proven track record of learning on the job

Preferred Qualifications:

• Some familiarity with Machine Learning and Machine Learning infrastructure.

• Experience building large scale production machine learning systems or data pipelines

• Experience with Docker, Kubernetes, Istio/Envoy, NoSQL solutions, Memcache/Redis, Google/AWS services

• Familiarity with Metaflow, Airflow, Kubeflow or similar workflow orchestration framework

• Experience with Tensorflow, PyTorch, or related deep learning frameworks

• Experienced in MLOps: managing production machine learning lifecycle

"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 at least 80% of the time (an average of 4 days per week).

If you are not based in the same location(s) listed for this role and are open to relocation, we encourage you to apply to take advantage of our generous relocation policy. 

For CA based applicants: 

• The base salary for this position is $195,000 - $280,000

For NY based applicants: 

• The base salary for this position is $205,000 - $295,000

This position is eligible for a discretionary performance-based bonus

This position is eligible for equity in the form of RSUs

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. If you have a disability or special need that requires accommodation, please don’t be shy and contact us at [email protected].

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!