Let’s get started
By clicking ‘Next’, I agree to the Terms of Service
and Privacy Policy
Jobs / Job page
Machine Learning Engineer 10+, Spotlight image - Rise Careers
Job details

Machine Learning Engineer 10+, Spotlight

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 Principal Machine Learning Engineer, Spotlight to join Snap Inc!
What you’ll do:
  • Build and optimize world-class AI/ML-based products and systems to provide the best content experience for Snapchatters and our community
  • Drive the team’s strategy and goal setting related to project impact, AI system design, and ML excellence
  • Collaborate with leadership to up-level the ML tech stack and improve the performance of the organization
Knowledge, Skills & Abilities:
  • Vast experience designing, training and optimizing neural networks for LLM / Sequence models for NLP tasks or large transformers / advanced models for Recommendation Systems
  • In-depth understanding of common Machine Learning and Deep Learning algorithms
  • Effectiveness at leading and executing large, complex technical initiatives
Minimum Qualifications:
  • Masters or PhD in Computer Science (Machine Learning, NLP, Deep Learning), Applied Mathematics or a related field; or equivalent industry experience
  • 10+ years of industry experience with large-scale customer-facing AI products
  • Experience with deep learning framework such as TensorFlow and PyTorch
  • Research Experience in NLP / LLM or Applied ML experience in Search or recommendation systems (Ranking / Retrieval), machine learning infrastructure and distributed systems
Preferred Qualifications:
  • Experience contributing to AI publications
  • Previous experience partnering with cross-functional executives and management across a globally distributed organization and exercising sound judgment
  • Track record of delivery in rapidly changing, highly collaborative, multi-site, multi-stakeholder environments
  • Deep knowledge of and experience working with a diverse group of engineers
  • Someone who loves to learn, and is passionate about developing top engineering talent and leaders
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.
  • Zone A (CA, WA, NYC)
    : The base salary range for this position is $265,000 - 385,000 annually
  • Zone B
    : The base salary range for this position is $252,000 - 366,000 annually
  • Zone C
    : The base salary range for this position is $225,000 - $327,000 annually
  • This position is eligible for equity in the form of RSUs
"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). For roles with remote consideration: Remote team members still are expected to travel for mandatory in-person gatherings and to fulfill business needs, at least 4 to 6 times per year.
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-ext@snap.com
.
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!

Snap 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 th...

30 jobs
MATCH
Calculating your matching score...
FUNDING
TEAM SIZE
DATE POSTED
June 9, 2023

Subscribe to Rise newsletter

Risa star 🔮 Hi, I'm Risa! Your AI
Career Copilot
Want to see a list of jobs tailored to
you, just ask me below!
Other jobs
Company
Posted last year
Company
Posted last year
Company
Snap Hybrid Santa Monica, CA
Posted last year