Machine Learning Engineer

Snap Inc.; City Of London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading technology company in London seeks a Machine Learning Engineer to develop ML tools for millions of users. This role involves building AR experiences and collaborating on product innovations. Candidates should have a strong background in machine learning, proficiency in Python or C, and familiarity with frameworks like PyTorch or TensorFlow. Join a diverse team in a dynamic environment.

Benefits

Paid parental leave

Comprehensive medical coverage

Emotional and mental health support

Qualifications

• Experience in neural rendering, generative models, segmentation, object detection, etc.
• Strong programming skills in Python or C required.
• Familiar with major deep learning frameworks.

Responsibilities

• Develop ML tools and products for millions of users.
• Build AR experiences with advanced models.
• Collaborate with teams to launch new products.

Skills

Machine learning passion

Collaboration skills

Independent work

Education

Bachelor’s Degree in technical field

Tools

PyTorch

TensorFlow

Python

C

Job description

Overview

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’s three core products are Snapchat (https://www.snapchat.com/), Lens Studio (https://ar.snap.com/lens-studio), and its AR glasses, Spectacles (https://www.spectacles.com/).

We’re looking for Machine Learning Engineers to join the Generative ML Platform team at Snap Inc!

What you’ll do

• Develop ML-tools and ML-products that serve millions of Snapchatters on a daily basis

• Build cutting-edge augmented reality experiences with diffusion/flow matching models and GANs

• Deliver GenAI experiences for the edge devices

• Work on state of the art GenAI pipelines for image and video generation

• Work closely with other Snap teams to introduce, prototype and launch new products

Knowledge, Skills & Abilities

• A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quickly

• Knowledge of mathematics and deep learning foundations

• Ability to effectively collaborate with internal teams and external partners

• Ability to work independently

Minimum Qualifications

• Bachelor’s Degree in a technical field such as computer science, mathematics, statistics or equivalent years of experience

• Engineering experience in one or more of the following: neural rendering, generative models, segmentation, object detection, classification, tracking, or other related applications of deep learning

• Experience with the major deep learning frameworks: PyTorch or TensorFlow

• Strong programming skills in Python or C

Preferred Qualifications

• Experience developing real-time software for mobile applications

• Knowledge of computer graphics foundations

• Track record of successful projects in GenAI field

• Examples of your work such as open source projects, blog posts, Kaggle contests, top conference or journal publications, etc.

If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information (https://docs.google.com/forms/d/e/1FAIpQLScV7t31iR3yYR9ztGDHJpbvL63svWpb6s0afkBkLEjGnDx4Kg/viewform).

"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 (https://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!

A Decade of Snap (https://www.youtube.com/playlist?list=PLdfCGl7CQeT_N_Gmli1oV1X6c9Ubzoozp): Learn about our origin story, values, mission, culture of innovation, and more.

CitizenSnap (https://citizen.snap.com/): In our third annual CitizenSnap Report, we demonstrate progress towards our environmental, social, and governance (ESG) goals, and we lay out our plans looking forward.

The DEI Innovation Summit (https://actreport.com/dei-innovation-summit-2022/): Watch highlights from the 2nd annual DEI Innovation Summit, which brings together thought leaders and DEI experts for a day of courageous conversations to enable bold action.

Snap News (https://newsroom.snap.com/): Stay up to date on the latest and greatest product and innovation news at Snap

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