Partner with cross-functional Snap teams to explore and prototype new products Knowledge, Skills ... grad machine learning experience * Research or engineering experience in one or more of the ...
Partner with cross-functional Snap teams to explore and prototype new products Knowledge, Skills ... grad machine learning experience * Research or engineering experience in one or more of the ...
Partner with cross-functional Snap teams to explore and prototype new products Knowledge, Skills ... grad machine learning experience * Research or engineering experience in one or more of the ...
Partner with cross-functional Snap teams to explore and prototype new products Knowledge, Skills ... grad machine learning experience * Research or engineering experience in one or more of the ...
Partner with cross-functional Snap teams to explore and prototype new products Knowledge, Skills ... grad machine learning experience * Research or engineering experience in one or more of the ...
Partner with cross-functional Snap teams to explore and prototype new products Knowledge, Skills ... grad machine learning experience * Research or engineering experience in one or more of the ...
... 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 ...
... 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 ...
... 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 ...
... 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 ...
... post-grad machine learning experience; or PhD in a relevant technical field • Experience developing machine learning models for ranking, recommendations, search, content understanding, image ...
... post-grad machine learning experience; or PhD in a relevant technical field • Experience developing machine learning models for ranking, recommendations, search, content understanding, image ...
... 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 ...
... 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 ...
... post-grad machine learning experience; or PhD in a relevant technical field • Experience developing machine learning models for ranking, recommendations, search, content understanding, image ...
... post-grad machine learning experience; or PhD in a relevant technical field • Experience developing machine learning models for ranking, recommendations, search, content understanding, image ...
... post-grad machine learning experience; or PhD in a relevant technical field • Experience developing machine learning models for ranking, recommendations, search, content understanding, image ...
... post-grad machine learning experience; or PhD in a relevant technical field • Experience developing machine learning models for ranking, recommendations, search, content understanding, image ...
... grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience • Experience developing machine learning models for relevance ranking ...
... grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience • Experience developing machine learning models for relevance ranking ...
... grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience • Experience developing machine learning models for relevance ranking ...
... grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience • Experience developing machine learning models for relevance ranking ...
... grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience * Experience developing machine learning models for relevance ranking ...
... grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience * Experience developing machine learning models for relevance ranking ...
... grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience * Experience developing machine learning models for relevance ranking ...
... grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience * Experience developing machine learning models for relevance ranking ...
... grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience * Experience developing machine learning models for relevance ranking ...
... grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience * Experience developing machine learning models for relevance ranking ...
... grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience * Experience developing machine learning models for relevance ranking ...
... grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience * Experience developing machine learning models for relevance ranking ...
... grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience * Experience developing machine learning models for relevance ranking ...
New
... grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience * Experience developing machine learning models for relevance ranking ...
New
... grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience * Experience developing machine learning models for relevance ranking ...
... grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience * Experience developing machine learning models for relevance ranking ...
... grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience * Experience developing machine learning models for relevance ranking ...
... grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience * Experience developing machine learning models for relevance ranking ...
... grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience * Experience developing machine learning models for relevance ranking ...
... grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience * Experience developing machine learning models for relevance ranking ...
... grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience * Experience developing machine learning models for relevance ranking ...
... grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience * Experience developing machine learning models for relevance ranking ...
New Grad Machine Learning information
See salary details
$25.5K - $31.2K
5% of jobs
$33.1K is the 25th percentile. Wages below this are outliers.
$31.2K - $36.9K
59% of jobs
$36.9K - $42.5K
9% of jobs
$43K is the 75th percentile. Wages above this are outliers.
$42.5K - $48.2K
17% of jobs
$48.2K - $53.9K
4% of jobs
$53.9K - $59.6K
2% of jobs
$59.6K - $65.3K
3% of jobs
$65.3K - $71K
0% of jobs
$71K - $76.6K
0% of jobs
$76.6K - $82.3K
0% of jobs
$82.3K - $88K
0% of jobs
$25.5K
$42.6K
$88K
How much do new grad machine learning jobs pay per year?
As of Jun 21, 2026, the average yearly pay for new grad machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.
What are some typical challenges new graduates might face when starting out in a machine learning role, and how can they overcome them?
New grad machine learning engineers often encounter challenges such as bridging the gap between academic knowledge and practical, production-level projects. Adapting to real-world data issues, collaborating with cross-functional teams, and understanding scalable deployment can be daunting at first. To overcome these, it's helpful to seek mentorship, proactively ask questions, and dedicate time to learning best practices in code versioning, model evaluation, and team communication. Engaging in code reviews and participating in team discussions can also accelerate the learning curve and foster professional growth.
What are the key skills and qualifications needed to thrive as a New Grad Machine Learning Engineer, and why are they important?
To thrive as a New Grad Machine Learning Engineer, you need a solid foundation in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, version control systems like Git, and coursework or certification in data science are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and convey complex technical concepts to diverse teams. These skills and qualities are essential for developing innovative models, ensuring project success, and integrating seamlessly into fast-paced tech environments.
What is the difference between New Grad Machine Learning vs Data Scientist?
| Aspect | New Grad Machine Learning | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's in CS, Data Science, or related field; some internships | Bachelor's or Master's in CS, Statistics, or related; some experience |
| Work Environment | Entry-level, team-focused, research and development | Data analysis, modeling, cross-functional collaboration |
| Employer & Industry Usage | Tech companies, startups, research labs | Tech, finance, healthcare, consulting firms |
New Grad Machine Learning roles typically focus on foundational skills, internships, and entry-level tasks, while Data Scientist positions often require more experience in data analysis and statistical modeling. Both roles are common in tech industries, but Data Scientists usually handle broader data analysis responsibilities.
What are 'New Grad Machine Learning' roles?
New Grad Machine Learning roles are entry-level positions designed for recent graduates who have studied machine learning, artificial intelligence, data science, or related fields. These positions typically involve working with experienced data scientists and engineers to develop, implement, and improve machine learning models and algorithms. New grads in these roles often contribute to projects involving data preprocessing, model training, evaluation, and deployment. The goal is to help new graduates gain hands-on experience and grow their skills in a real-world setting while contributing to the organization's AI initiatives.
More about New Grad Machine Learning jobs
What cities are hiring for New Grad Machine Learning jobs? Cities with the most New Grad Machine Learning job openings:
What states have the most New Grad Machine Learning jobs? States with the most job openings for New Grad Machine Learning jobs include:
What job categories do people searching New Grad Machine Learning jobs look for? The top searched job categories for New Grad Machine Learning jobs are:
Full-time
Medical
Posted 11 days ago
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'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's Generative ML Platform team builds cutting-edge AI technologies that power creative, scalable experiences for hundreds of millions of Snapchatters worldwide. From multimodal LLMs and video generation to real-time AR, human understanding, and 3D content creation, we develop the full stack of generative AI, including foundational models, efficient infrastructure, and on-device and server-side inference. Our team creates intuitive tools, platforms, and agentic systems that empower creators, developers, and internal teams to bring ideas to life, while advancing personalized, human-centric experiences across mobile, web, and wearable devices like Spectacles.
We're looking for a Machine Learning Engineer to join our Generative ML team!
What you'll do:
Develop innovative machine learning technology and products that serve millions of Snapchatters
Work on state of the art GenAI pipelines for image, video, and audio generation
Deliver generative machine learning experiences on device
Build cutting-edge augmented reality experiences using generative and diffusion models
Partner with cross-functional Snap teams to explore and prototype 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
Strong software development skills in Python or C++
Proficiency working with major deep learning frameworks: PyTorch or TensorFlow
Knowledge of mathematics and deep learning foundations
Desire to solve open ambiguous problems
Desire to grow professionally, learn and help others
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
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
Research or engineering experience in one or more of the following: generative models, efficient models, segmentation, object detection, classification, tracking, or other related applications of machine learning
Preferred Qualifications:
Master's degree or PhD in a related technical field
Experience developing real-time software for mobile applications
Knowledge of GenAI, especially image, video, and audio generation foundations
Knowledge of efficient model 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.
"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.
About Snapchat for Business
Sourced by ZipRecruiter
Industry
Marketing
Company size
1,001 - 5,000 Employees
Headquarters location
Santa Monica, CA, US
Year founded
2011