Machine Learning Engineer, Generative ML , Level 5

Snap; New York (NY); On-site; USD 209,000 - 313,000; Full time

Benefits offered by this job

Paid parental leave

Comprehensive medical coverage

Emotional and mental health support

Job summary

Snap is seeking a Machine Learning Engineer in New York to develop advanced AI technologies that enhance user experiences. This role involves creating generative machine learning products and collaborating with Snap teams on innovative solutions.

The ideal candidate will have a Bachelor's Degree, extensive machine learning experience, and strong software development skills in Python or C++. Benefits include comprehensive medical coverage and equity compensation.

Qualifications

• Bachelor’s Degree in computer science, mathematics, or equivalent experience.
• 5+ years of post-Bachelor’s machine learning experience required.
• Research or engineering experience in generative models or related applications.

Responsibilities

• Develop innovative machine learning products for millions of Snapchat users.
• Work on advanced GenAI pipelines for multimedia generation.
• Build augmented reality experiences using generative models.

Skills

Machine learning passion

Python or C++ skills

Deep learning frameworks

Mathematics knowledge

Problem-solving ability

Collaboration skills

Independence

Education

Bachelor’s Degree in a technical field

5+ years machine learning experience

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.

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 year 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.

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.

Benefits

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.

Equal Opportunity

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 is 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).

Accommodations

If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.