Senior ML Engineer – Generative AI & On‑Device AR

Socket.dev; Santa Monica (CA); On-site; USD 229,000 - 343,000; Full time

Benefits offered by this job

Paid parental leave

Comprehensive medical coverage

Mental health support

Equity in RSUs

Job summary

Snap Inc. in California is seeking a Machine Learning Engineer to develop innovative machine learning technology and products that serve millions of Snapchatters. You will build cutting-edge augmented reality experiences using generative models and deliver on-device ML experiences.

You will partner with cross-functional teams to explore and prototype new products, drive research, and grow professionally in a collaborative environment with opportunities across AI and infrastructure.

Qualifications

• Bachelor's degree in a technical field or equivalent years of experience.
• 8+ years of post-Bachelor’s ML or related experience; or 7+ years with a Master’s; or 4+ years with a PhD.
• Experience with Computer Vision or Generative Modeling techniques.
• Experience with ML frameworks such as TensorFlow, PyTorch, JAX, MLX, scikit-learn, or related frameworks.

Responsibilities

• Develop innovative machine learning technology and products that serve millions of Snapchatters.
• Build cutting-edge augmented reality experiences using generative models.
• Deliver generative machine learning experiences on device.
• Partner with cross-functional Snap teams to explore and prototype new products.

Skills

Machine Learning

Team Collaboration

Independent Work

Problem Solving

Education

Bachelor's degree in technical field such as computer science, mathematics, statistics or equivalent years of experience

Tools

TensorFlow

PyTorch

JAX

scikit-learn

Job description

Snap Inc. in California is seeking a Machine Learning Engineer to develop innovative machine learning technology and products that serve millions of Snapchatters. You will build cutting-edge augmented reality experiences using generative models and deliver on-device ML experiences.

You will partner with cross-functional teams to explore and prototype new products, drive research, and grow professionally in a collaborative environment with opportunities across AI and infrastructure.