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AI Job Summary

Build and deploy machine learning models serving millions of users, owning the full ML lifecycle from data analysis to production deployment. This level requires 5+ years of post-bachelor's ML experience, or a master's degree with 4+ years of experience, or a PhD with 1+ year of experience. You'll need strong expertise in ML frameworks like TensorFlow or PyTorch, plus experience with ranking, recommendations, search, or content understanding systems. Work in-office 4+ days per week in one of three pay zones: $209,000–$313,000 (Zone A), $199,000–$297,000 (Zone B), or $178,000–$266,000 (Zone C) annually.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

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 operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.


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 Machine Learning Engineer to join Snap Inc!


What you’ll do:

  • Build and deploy machine learning models that power core products, serving millions of Snapchatters
  • Apply modern ML techniques to solve large-scale, real-world problems
  • Own the full ML lifecycle from data analysis to production deployment
  • Partner with cross-functional teams to prototype and launch ML-driven features
  • Utilize AI tools to design and ship scalable services while upholding rigorous standards for code correctness, security, and production

Knowledge, Skills & Abilities:

  • Strong understanding of machine learning approaches and algorithms
  • Able to prioritize duties and work well on your own
  • Ability to work with both internal and external partners
  • Skilled at solving open ambiguous problems
  • Strong collaboration and mentorship skills
  • Proficiency in, or a strong aptitude for, leveraging AI tools to streamline development, paired with the critical judgment to audit generated output for architectural integrity, performance bottlenecks, and security risks
  • Adaptability in learning and applying evolving AI systems and tools to remain at the forefront of engineering trends and modern development practices

Minimum Qualifications:

  • Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience
  • 5+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience
  • Experience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learning

Preferred Qualifications:

  • Advanced degree in computer science or related field
  • Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
  • Experience working with machine learning, ranking infrastructures, and system design

"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.


We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).


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!

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. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.

Zone A (CA, WA, NYC):

The base salary range for this position is $209,000-$313,000 annually.


 

Zone B:

The base salary range for this position is $199,000-$297,000 annually.

Zone C:

The base salary range for this position is $178,000-$266,000 annually.

This position is eligible for equity in the form of RSUs.



If you believe this job description is missing required pay transparency information, please submit a report through this form: Job Description Pay Range Disclosure.

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  • Role Machine Learning Engineer, Level 5
  • Experience 3-4 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United States
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Snap
Consumer Apps & Media · 500+ Members · Santa Monica, United States

Snap is a technology and social-media company headquartered in California.

Snap operates Snapchat and develops augmented-reality tools, advertising products, camera technology, creator services, mapping, messaging, and wearable computing products.

All jobs at Snap

76 more Machine Learning Engineer roles in San Francisco

Job Overview

Approx. salary range

185K – 267K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 32 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
1 day ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
3-4 years

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