AI Research Engineer
HEX is a decentralized, blockchain-based cryptocurrency and smart contract protocol that allows users to 'mine' rewards by locking (staking) their HEX tokens for a chosen period of time, with longer commitments yielding larger rewards. It operates on Ethereum and PulseChain with no central entity, middlemen, or minimums, and serves individual crypto holders and investors seeking yield through time-locked staking.
Projects
About HEX
HEX presents itself as a finished, immutable, unstoppable smart contract that has undergone three independent audits from top blockchain auditors. It has no central entity or middlemen — users mint their own rewards by running code to lock their HEX tokens for a period ranging from 1 to 5555 days, then minting the rewards afterward, with longer commitments and larger stakes rewarding higher yields ('Longer Pays Better'). The protocol touts a capped inflation rate of 3.69% and a publicly viewable future locked-supply schedule so users can anticipate large miners' unlock events. HEX operates on both Ethereum and PulseChain, and users interact with it via MetaMask wallets, acquiring PLS on PulseChain and swapping for HEX via PulseX, then mining/minting rewards through go.hex.com. The site markets itself toward individual retail crypto investors interested in long-term, high-yield staking of a decentralized asset, citing dramatic historical price appreciation as a selling point.
Skills
About the Role
You'll partner with product teams to build industry-leading AI experiences such as the Notebook Agent. You'll run experiments, fine-tune models, deploy AI infrastructure, and build and maintain experimentation tooling. Your focus will be driving Hex's context engine and pushing forward the capabilities of the Notebook Agent, a highly technical data copilot that writes SQL and python, builds beautiful reports and visualizations, and collaborates with the analyst on new avenues of inquiry. You'll enable data teams to build highly accurate and curated data experiences for their stakeholders. As one of the team's early hires, you will build features and experiences from 0 to 1, partner on determining the architecture and stack for AI-enabled capabilities, ship product experiences that change how Data Scientists and Analysts operate, and work at the cutting edge of production AI applications. You'll have ample technical and team leadership opportunities depending on your interests.
Requirements
- Experience getting AI/ML capabilities into production and serving real users
- Enthusiasm for applications of AI to real business problems
- Understanding of core MLOps/SW Architecture concepts for modern ML-based applications
- Strong Infra aspects of MLOps
- Comfortable working in both Python & JS/TS
- Experimentalist mindset with quick iteration and critical thinking
- Interest in the data space and shipping great products
- Experience maintaining a high quality bar for design, correctness, and testing
Responsibilities
- Partner with product teams to build AI experiences such as the Notebook Agent
- Run experiments and fine-tune models
- Deploy AI infrastructure
- Build and maintain experimentation tooling
- Drive Hex's context engine and push forward Notebook Agent capabilities
- Push the frontiers of SQL generation quality
- Use LLMs to evaluate agent threads
- Build features and experiences from 0 to 1
- Partner on determining the architecture and stack for AI-enabled capabilities
- Ship product experiences that change how Data Scientists and Analysts operate
- Work at the cutting edge of production AI applications
Benefits
- Market-benched salary & equity
- Comprehensive health benefits
- Flexible paid time off