Machine Learning Engineer, Generative ML , Level 5

Snap Inc.; Los Angeles (CA); 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 programs

Job summary

Snap Inc. is seeking a Machine Learning Engineer to join their Generative ML team in Los Angeles. This role involves developing innovative machine learning technology and products, contributing to state-of-the-art GenAI pipelines for multimedia generation, and collaborating with teams to prototype new products.

The ideal candidate will have a Bachelor's degree in a technical field and at least 5 years of post-graduate machine learning experience. This position offers a competitive salary range of $209,000 to $313,000 annually.

Qualifications

• Proven passion for machine learning and staying updated with research.
• Ability to collaborate with teams and work independently.

Responsibilities

• Develop innovative machine learning technology and products.
• Work on GenAI pipelines for image, video, and audio generation.
• Deliver generative machine learning experiences on device.

Skills

Machine learning

Software development in Python or C++

Deep learning frameworks (PyTorch, TensorFlow)

Mathematics and deep learning foundations

Problem-solving skills

Education

Bachelor's Degree in technical field

5+ years machine learning experience

Job description

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++ with 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+ years 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.

Office Requirements

The “Default Together” Policy at Snap requires team members to work in an office 4+ days per week.

Equal Opportunity

Snap is a proud equal‑opportunity employer, committed to providing employment opportunities irrespective of race, religion, color, national origin, ancestry, disability, veteran status, sexual orientation, gender identity, pregnancy, childbirth, age, or other protected classification, in accordance with applicable laws. EOE, including disability/vets.

Benefits

Our benefits 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.