Machine Learning Platform Engineer

Vienna - Austria

Monthly Salary: Not Disclosed

Posted on: 3 days ago

Vacancies: 1 Vacancy

Job Summary

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 Companys 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.

Were looking for a Machine Learning (ML) Platform Engineer to join the Computer Vision team at Snap inc!

What youll do:

In this role you will be supporting the development of cutting edge machine learning technologies for the next generation of Spectacles. Working from our Vienna office you will be collaborating with other machine learning computer vision and software teams of Spectacles teams around the world. You will also:

Own the ML platform to support the training evaluation and deployment of cutting edge ML models for on-device applications.
Build data and training pipelines at scale
Apply strong software engineering to deliver scalable reproducible end-to-end ML workflows for deep learning and computer vision
Develop optimization and release toolchain for automated testing/validation CI/CD for ML quantization/distillation and packaging
Drive operational excellence by advocating and applying best practices for scalability and cost management.
Work together with our cross-functional engineering and research teams in computer vision and machine learning..

Knowledge Skills & Abilities:

Excellent software design development and debugging skills in the context of ML systems
Proven track record of developing highly available systems which deal with large amounts of data
Working knowledge of ML fundamentals
Strong communications and interpersonal skills.
A genuine passion for learning new things and helping colleagues improve.
Ability to travel as needed

Minimum Qualifications

Bachelors degree in a technical field such as computer science or equivalent experience.
4 years of relevant industry experience
Experience with Python C or equivalent combined with a proven track record of learning on the job
Experience with machine learning platforms and infrastructure

Preferred Qualifications

Experience building large scale production machine learning systems or data pipelines
Experience with Docker Kubernetes Istio/Envoy NoSQL solutions Memcache/Redis Google/AWS services
Experience with Tensorflow PyTorch or related deep learning frameworks
Experienced in MLOps: managing production machine learning lifecycle
Familiarity with Metaflow Airflow Kubeflow or similar workflow orchestration framework

If you have a disability or special need that requires accommodation please dont 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 weve 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 Snaps long-term success!