ML Product Engineer - Remote, AI Infrastructure

Ritual; United States; Remote; USD 120,000 - 190,000; Full time

Benefits offered by this job

Remote or hybrid work options

Competitive compensation with annual-b

Premium healthcare

Job summary

Ritual is seeking a talented Machine Learning Product Engineer to join our team. You will work on applied ML projects, automating data ETL pipelines, deploying models, and shipping customer-facing products.

You will scale inference, connect models to APIs and interfaces, and design end-to-end ML data pipelines within a cross-functional team of engineers, researchers, product managers, designers, and operators.

Qualifications

• Experience as a software engineer.
• Experience building and serving machine learning models.
• Familiarity with Python and ML frameworks such as PyTorch, TensorFlow, JAX, and open-source stacks like HuggingFace.
• Ability to reason through machine learning system tradeoffs.
• High level of end-to-end ownership and self-direction.

Responsibilities

• Scale up model inference and run predictions at scale on cutting-edge models.
• Connect ML models to human interfaces (APIs, browsers, applications) end-to-end.
• Design and implement large-scale data and ML pipelines throughout the product lifecycle.
• Collaborate with engineers, researchers, product managers, designers, and operations to create cutting-edge products.

Skills

Software engineering experience

ML model serving

End-to-end ownership

ML system tradeoffs

Tools

Python

PyTorch

TensorFlow

JAX

HuggingFace

Job description

Ritual is seeking a talented Machine Learning Product Engineer to join our team. You will work on applied ML projects, automating data ETL pipelines, deploying models, and shipping customer-facing products.

You will scale inference, connect models to APIs and interfaces, and design end-to-end ML data pipelines within a cross-functional team of engineers, researchers, product managers, designers, and operators.