Snap Inc. is a camera company. We believe that reinventing the camera represents our greatest opportunity to improve the way people live and communicate.
Our products empower people to express themselves, live in the moment, learn about the world, and have fun together.
Snapchat is the camera used by millions of people every day to Snap with family, watch Stories from friends, see events from around the world, and explore expertly curated content from top publishers.
In short, we are a passionate team working hard to build the best platform in the world for communication and storytelling.
We’re looking for a Machine Learning Manager to join our Generative ML Platform team!
What you’ll do :
Drive the technical and organizational roadmap for the engineering team
Lead and grow a team of exceptional machine learning engineers
Influence key decisions on architecture and implementation of scalable, reliable, and cost-effective engineering solutions
Develop deep architectures and optimization techniques for cutting-edge solutions
Create products that are used by millions of Snapchatters
Learn new techniques and stay on the cutting edge of machine learning technology
Design and implement machine learning and computer vision solutions to be used by millions of Snapchatters
Introduce major innovations that can lead to new product features or new areas of business
Partner with cross functional Snap teams to explore, prototype, and ship new features
Knowledge, Skills & Abilities :
Up-to-date with the latest research in machine learning and computer vision
Knowledge of mathematics and deep learning foundations
Knowledge of basic computer vision algorithms
Strong computer science fundamentals
Strong communication, presentation, and interpersonal skills
Ability to lead and represent the team’s goals and projects with cross-functional business partners and leaders
Minimum qualifications :
BS in a technical field such as computer science or equivalent years of experience
8+ years of machine learning experience
2+ years of experience managing a team and technical leadership
Research or engineering experience with generative models (e.g. diffusion models, GANs, VAE, etc.)
Preferred qualifications :
Master's degree or PhD in a related technical field
Strong track record of leading machine learning projects
Experience developing real-time software for mobile applications
Examples of your work such as open source projects, blog posts, Kaggle contests, top conference or journal publications, etc.
Excitement about Snapchat and our products
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. If you have a disability or special need that requires accommodation, please don’t be shy and contact us at accommodations-
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.
These pay zones may be modified in the future.
The base salary range for this position is $222,000-$333,000 annually.
The base salary range for this position is $211,000-$316,000 annually.
The base salary range for this position is $189,000-$283,000 annually.
This position is eligible for equity in the form of RSUs.
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