Machine Learning Engineer

Ritual; Town of Poland (NY); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Annual discretionary bonus

100% premiums covered on healthcare

Aggressive 401k match

Participation in virtual and in-person events

Job summary

A pioneering AI infrastructure company is seeking a Machine Learning Product Engineer to work on innovative applied machine learning projects. You will be engaged in automating Data ETL pipelines, deploying ML models, and developing customer-facing products. The ideal candidate has software engineering experience, familiarity with Python and ML frameworks, and an interest in open-source products. Enjoy a highly competitive compensation package, including health benefits and flexibility for remote/hybrid working arrangements.

Qualifications

• Experience with automation of Data ETL pipelines.
• Proven track record in deploying machine learning models.
• High level of end-to-end ownership and self-direction.
• Ability to reason about ML system tradeoffs and ownership on end-to-end projects.
• Interest in open-source ML products and privacy-focused infrastructure.

Responsibilities

• Scale model inference and handle predictions at scale.
• Design and implement data and ML pipelines throughout the lifecycle.
• Collaborate with cross-functional teams on product development.

Skills

Software engineering experience

Machine learning model serving

Python

PyTorch

TensorFlow

Open-source stacks

DataOps

MLOps

Machine learning architecture

Tools

CUDA

ROCm

TinyML

Triton

HuggingFace

MLIR

Halide

HuggingFace

Job description

Ritual is building a sovereign, execution layer for AI, with our private testnet already live and running. The Ritual chain is the first blockchain custom-built to support AI-native operations, designed from the ground up to enable a new class of applications at the intersection of crypto and AI. Our first product, Infernet, is pioneering new ground as the first solution to enable developers to access AI models both on-chain via smart contracts and off-chain, demonstrating our commitment to bridging these transformative technologies.

About the role

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.

• Scale up model inference and running predictions at scale on cutting-edge models
• 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

About you

• 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
• Familiarity with basic machine learning system stacks e.g. TinyML, Triton, CUDA, ROCm, Exo, MLIR, Halide, etc
• Familiarity with DataOps, MLOps, and ML orchestration pipelinesUnderstanding 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
• 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