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Senior Machine Learning Engineer

Steel Perlot CA Los Angeles, California, United States

Live

$81k - $100k · Senior Full-time Posted over 3 years ago 3 min read

About us

We're an aggregated insights and financial tooling platform for non-fungible digital assets.

Digital assets are eating the world. We’ve already seen the meteoric rise of fungible digital assets as currency (e.g., bitcoin, stablecoins) and financial instruments (DeFi). The current market for non-fungible digital assets (NFTs) is a mere precursor to the opportunity that NFT technology holds. Real estate, gaming, ticketing, carbon offsets, art, RECs, music, media, and other industries all stand to benefit from tokenization (put differently: immutable digital representation) and the market efficiency it enables. However,a trusted source of aggregated financial information and services for NFTs does not exist despite a strong and rapidly growing demand for it.

Our vision is to become this financial OS for NFTs.

Our team has founded or been on the founding team of an NFT multi-unicorn, a DeFi decacorn, a highly successful prop trading firm, and more. We are looking forthe best of the bestto join our already-stacked team and absolutely awesome culture. If you're getting fired up, please read on.

About the role

You’ll be defining, designing, and implementing data pipelines and temporal, natural language, graph, and other machine learning models with best MLOps practices.

You won’t be alone- but will be working with our seasoned quant & ML team.

Currently our team is still small, meaning you’ll be able to have huge impact on the overall direction and shape the future with our users and ourselves.

This also means this isn’t your “traditional” ML engineering role. You’ll be expected to widen your horizon, from understanding user needs, technical limitations, and company strategy...it’s a complex task.

What we're looking for

What we’re looking for is a strong, collaborative ML engineer who can easily interface with our quant and backend teams with a product-minded focus.

We’re looking for the following key traits for our next team members:

You can ship. You should be effectively be able to support the shipping culture - meaning you have diverse skillsets from generating ideas for data sources and model architectures to bringing those - once agreed upon - to scalable production.
System thinking. What we're building is quite complex - and elements connect to each other in unexpected ways. Being able to see the full picture, while drilling down into details is a must.
Curiosity & Always learning. You're interested in new trends in your domain. You see keeping up-to-date with the latest standards, tools, and (to an extent) research as a core part of your job.
Collaborative.We ship as a team - and great ideas & solutions come from every member of this team. You're honest with both giving and taking feedback - and take pride in delivering the best possible solution versus being emotionally attached to a single idea.

Our stack is PyTorch, Kafka, Terraform, and MLFlow. The central challenges here are the multimodality of the data, lowest-possible latency inference, and being creative about what data to source and how to source it.

Bonus points

Solid knowledge of ML testing and documentation best practices
Previous startup experience
Previous experience building a highly-scaled product
You have previous experience in a PM-focused company
Team- and culture-oriented
You have passion for technological advancement and web3

Ready to apply? You'll go straight to the hiring team.

No agency in the middle · Your profile is shared privately.

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