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 its 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 Machine Learning Engineer to join Snap Inc!
What you'll do :
- Create models which help drive value for users, advertisers, and our company
- Evaluate the technical tradeoffs of every decision
- Perform code reviews and ensure exceptional code quality
- Build robust, lasting, and scalable products Iterate quickly without compromising quality
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
Minimum Qualifications :
- Bachelor's degree in technical field such as computer science, mathematics, statistics or equivalent years of experience
- 3+ years machine learning experience in industry
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
If you have a disability or special need that requires accommodation, please don't 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 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 $168,000-$252,000 annually.
Zone B :
The base salary range for this position is $160,000-$239,000 annually.
Zone C :
The base salary range for this position is $143,000-$214,000 annually.
This position is eligible for equity in the form of RSUs.
Machine Learning Engineer - Ads
A company is looking for a Machine Learning Engineer - Ads to optimize their advertising product. ...
Machine Learning Data Engineer (Software Engineer III)
At least 3 years of experience as a Software Engineer or Data Engineer. What are we looking for in our Machine Learning Data Engineer (Software Engineer III)?. The Information Technology team at Russell Tobin & Associates is supporting a top multinational technology company that has an opening for a...
Staff Machine Learning Engineer - Poe
Key Responsibilities:Develop and maintain cutting-edge applied LLM projects for search result retrieval, recommender systems, and multi-bot agentsParticipate in refining NLP activities and staying up-to-date with the latest developments in NLP and large language modelsTake end-to-end ownership of la...
Machine Learning Engineer, E-Commerce Risk/Fraud - USDS
Our time off and leave plans are: 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability. Our challenges are not some re...
Machine Learning Engineer
Typical qualifications for the role are 2+ years of relevant professional experience or equivalent advanced education. Our Fraud Intelligence team is on the cutting edge of data science and machine learning technology that detects and prevents fraud on a global scale. As a Machine Learning Data Engi...
AIML - Machine Learning Research Engineer, Foundation Models
We are looking for engineers who are passionate about building systems that push the frontier of deep learning in terms of scaling, efficiency, and flexibility and delight millions of users in Apple products. You will work with a close-knit and fast growing team of world-class engineers and scientis...
Machine Learning Engineer Intern (Search E-commerce) - 2025 Summer (MS)
We use state-of-the-art large-scale machine learning technology, cutting-edge NLP, CV, and multi-modal technology to build the industry's top-class search engine to provide the best e-commerce search experience for more than 1 billion monthly active TikTok users around the world. Our company believe...
Machine Learning Engineer
As aSenior Machine Learning Engineer you will be responsible for finetuning LLM models and building RAG pipelines. This role requires expertise in computer science anda deep understanding of machine learningtechniques. Strongbackground in computer science and machinelearning. Experiencein fine tunin...
Machine Learning Engineer, Recommendation - E-Commerce
We are a group of applied machine learning engineers and research scientists that focus on E-commerce recommendations. We use state-of-the-art large-scale machine learning technology, cutting-edge NLP, CV, and multi-modal technology to build the industry's top-class search engine to provide the best...
Machine Learning Engineer - New Verticals
PhD or 3+ years of industry experience post graduate degree of developing machine learning models with business impact. We’re looking for someone with a command of production-level machine learning and experience with solving end-user problems who enjoys collaborating with multidisciplinary teams. W...