# Machine Learning Engineer

**Company**: Ritual
**Location**: Remote
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/ritual/jobs/4029531007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_6c07d45f-2ec

## Description

We are looking for a talented and motivated Machine Learning Product Engineer to join our team. In this role, you will work on a variety of projects related to applied machine learning, including working with the product team on automating Data ETL pipelines, deploying machine learning models, and shipping customer-facing products.

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

Requirements:

- 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

Extras:

- Familiarity with basic machine learning system stacks e.g. TinyML, Triton, CUDA, ROCm, Exo, MLIR, Halide, etc

- Familiarity with DataOps, MLOps, and ML orchestration pipelines

- Understanding of modern ML architectures and intuition for inference performance tradeoffs

- Experience or interest in working on open-source ML products

- Interest in building tech aligned with user privacy, computational integrity, and/or censorship resistance

- Experience at fast-growing companies or startups

Why join us:

- Join a passionate group of engineers, researchers, and operators on a mission to build the next generation of AI infrastructure

- Highly competitive compensation package, including annual discretionary bonus & optimized tax structure compared to the vast majority of web3 startups

- Top 1% of benefits across the web3 startup space

- 100% of premiums covered on highest quality healthcare

- Aggressive company 401k match

- Fully remote and/or hybrid, up to you!

- Participate in virtual and in-person events

- Much much more!

## Skills

### Required
- Python
- PyTorch
- Tensorflow
- Jax
- HuggingFace
- machine learning
- software engineering

### Nice to have
- TinyML
- Triton
- CUDA
- ROCm
- Exo
- MLIR
- Halide
- DataOps
- MLOps
- ML orchestration pipelines

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/ritual/jobs/4029531007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)