About the role

Aplyr's Quick Take

This role is for a Machine Learning Engineer focused on building and deploying machine learning models and data pipelines. You'll work closely with product teams to automate processes and connect ML models to user interfaces. It's an individual contributor position that requires hands-on technical skills.

Good fit

Ideal candidates have a software engineering background with experience in machine learning, particularly in Python and frameworks like PyTorch or TensorFlow. Self-direction and a collaborative working style are essential, especially in a fast-paced startup environment.

Worth noting

The role emphasizes end-to-end ownership and includes a focus on user privacy and computational integrity. The company is in a niche area at the intersection of AI and blockchain, which may appeal to those interested in innovative tech.

About Ritual

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
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

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

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 & Tags

python machine learning ai data product design

Aplyr's read

Ritual is a tech-forward company focusing on blockchain and smart contract solutions, attracting engineers and researchers passionate about decentralized systems.
Synthesized from recent postings & public sources

What's promising

•Ritual offers roles in cutting-edge blockchain and decentralized technologies.
•The company attracts top talent in engineering and research fields.
•Ritual is involved in innovative projects, enhancing its appeal to tech enthusiasts.

What to watch

•Limited public information about company culture and work-life balance.
•Potentially high-pressure environment due to focus on fast-paced tech innovation.
•Uncertainty about long-term stability in the volatile blockchain industry.

Why Ritual

•Ritual specializes in decentralized systems and smart contract engineering.
•The company offers niche roles like TEE Specialist and Validator Engineer.
•Ritual emphasizes blockchain innovation, setting it apart from traditional tech firms.

Aplyr’s read is generated by AI from public sources. Was it useful?