Summary

About Allora Labs:

Allora Labs’ mission is to commoditize all forms of intelligence. Operating at the intelligence layer of the AI stack, we believe that building at the intersection of crypto and AI is the optimal path to achieving our mission.

As crypto-natives and ML experts with experience across leading Web3 projects, large finance companies, and large tech companies, our team combines deep blockchain knowledge with world-class technical capabilities. We’re backed by top crypto venture funds and angel investors who share our vision for the future of digital ownership.

At Allora Labs, we nurture our people just as much as our products, providing an environment where top talent can thrive at the intersection of crypto and AI. Together, we’re building the infrastructure to enable financial markets for anything. Join us as we shape the next frontier.

About the Role:

We are looking for an ML Engineer to join our team. Our ML engineers are responsible for bootstrapping topics on Allora with models to fit a diverse array of use cases. Their models and the tools they make to build these models are often shared with our community to facilitate participation in Allora and contribution toward a machine intelligence greater than the sum of its parts. ML Engineers report to our Head of Engineering.

Key Responsibilities

1. Participating as a data scientist within the Allora Network
2. Working with our data provider partners and Research team to create, deploy, and release ML models and new datasets, for use by Allora Labs and the Allora community
3. Discovering and analyzing datasets to create highly predictive features and insights
4. Building ML libraries and frameworks for robust testing and fast deployment of ML models
5. Engaging with open source data science communities to stay current with the latest innovations and establish Allora Labs as a data science thought leader.

Requirements

1. 3+ years building and deploying ML models to production in a commercial setting
2. 5+ years Python programming experience, particularly on the data science stack
3. 5+ years SQL
4. Strong statistical skills and scientific mindset
5. Experience working with complex datasets
6. Experience monitoring ML models and creating automated pipelines
7. Experience building modular, extensible and reusable ML frameworks 
8. Strong English communication and documentation skills
9. Team player with a collaborative mindset
10. Technical degree in engineering, computer science, or equivalent (ML education is a plus)

Nice to Have:

1. Contributions to prominent open source ML-related projects
2. Previous web3 experience
3. A notable following or status in data science communities

*This is a fully remote role*

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment.Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

Allora Labs is an equal opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Skills

• Analytical Thinking
• Machine Learning
• Python
• SQL