Careers

Join a team where ideas reach production. We value clear thinking, disciplined work, and the ability to bring solutions to life

All
Infrastructure
ML
Quant
Trading

ML / Quant Researcher (Middle / Senior)

Up to $12k net + Bonuses
Remote setup, flexible hours

We develop and deploy trading strategies across cryptocurrency. We are looking for specialists who can apply ML / quantitative research to identify market patterns, generate signals, and build profitable trading strategies.

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ML Lead

Up to $12k net + PnL share (4–10%, negotiated individually)
Remote setup, flexible hours

We develop ML models and trading strategies across crypto markets. The team is small, sharp, and moves fast. Our proprietary ML system is already live in production — we're looking for someone to take ownership and push it to the next level.

View Details

No open positions in this category yet.

ML / Quant Researcher (Middle / Senior)

Up to $12k net + Bonuses
Remote setup, flexible hours

We develop and deploy trading strategies across cryptocurrency. We are looking for specialists who can apply ML / quantitative research to identify market patterns, generate signals, and build profitable trading strategies.

View Details

ML Lead

Up to $12k net + PnL share (4–10%, negotiated individually)
Remote setup, flexible hours

We develop ML models and trading strategies across crypto markets. The team is small, sharp, and moves fast. Our proprietary ML system is already live in production — we're looking for someone to take ownership and push it to the next level.

View Details

ML / Quant Researcher (Middle / Senior)

Up to $12k net + Bonuses
Remote setup, flexible hours

We develop and deploy trading strategies across cryptocurrency. We are looking for specialists who can apply ML / quantitative research to identify market patterns, generate signals, and build profitable trading strategies.

View Details

No open positions in this category yet.

Our Process

01

Intro

Problem-solving and thinking-focused tasks.
We start with a short conversation and several tasks designed to understand how you think, approach unfamiliar problems, and structure solutions. This stage is not about memorization - it’s about reasoning.

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02

Interviews

Three technical interviews that may take place in different order depending on the role and background.

Quant Interview
ML Interview
Live Coding

Brain-teaser style interview focused on:

  • probability theory
  • linear algebra
  • logic and mathematical reasoning

We are intersted in how you think, not how fast you answer.

Discussion of machine learning concepts and intution:

  • ML algorithms and trade-off
  • practical reasoning
  • applied linear algebra and ML tasks

May include practical questions or small problem-solving exercises.

Several algorithmic tasks similar to Codeforces-style problems.

Typically:

  • Python or C++
  • focus on clarity, correctness, and approach rather than speed
03

Final Talk

Conversation with the co-founders.
We discuss:

  • your experience and background
  • motivation and expectations
  • role fit and next steps

This stage is about alignment - both technical and personal.