Remote Machine Learning Product Engineer

Ritual; United States; Hybrid; USD 150,000 - 230,000; Full time

Benefits offered by this job

Fully remote option

Hybrid work model

Competitive compensation package

Job summary

Ritual is seeking a talented Machine Learning Product Engineer to work on applied ML projects, automating Data ETL pipelines, deploying models, and shipping customer-facing products. You will scale model inference, connect ML models to APIs and apps, and design end-to-end data and ML pipelines within a cross-functional team.

You should have software engineering experience, hands-on ML model deployment, and familiarity with Python and ML frameworks like PyTorch, TensorFlow, Jax, and HuggingFace.

Qualifications

• Experience as a software engineer.
• Experience building and serving machine learning models.
• Familiarity with Python and related ML frameworks such as PyTorch, Tensorflow, Jax, and other open-source stacks such as HuggingFace.
• Ability to reason through machine learning system tradeoffs.
• A high level of end-to-end ownership and self-direction.

Responsibilities

• Scale up model inference and running predictions at scale on cutting-edge models.
• Work end to end to connect ML models to human interfaces (e.g. APIs, browsers, and applications).
• Designing and implementing large-scale data and ML pipelines through a full end-to-end product development lifecycle.
• Collaborate with a cross-functional team of engineers, researchers, product managers, designers, and operations teammates to create cutting-edge products.

Skills

Software engineering

ML model deployment

Python & ML frameworks

System tradeoffs

End-to-end ownership

Tools

PyTorch

TensorFlow

JAX

HuggingFace

Job description

Ritual is seeking a talented Machine Learning Product Engineer to work on applied ML projects, automating Data ETL pipelines, deploying models, and shipping customer-facing products. You will scale model inference, connect ML models to APIs and apps, and design end-to-end data and ML pipelines within a cross-functional team.

You should have software engineering experience, hands-on ML model deployment, and familiarity with Python and ML frameworks like PyTorch, TensorFlow, Jax, and HuggingFace.