Founding Machine Learning Engineer with Equity

About enzum:

We're pioneering the future of energy storage, utilizing Machine Learning algorithms to optimize energy storage usage for various applications such as trading and energy consumption optimization. Our mission is to make renewable energy more accessible and efficient than ever before. If you're passionate about contributing to a greener planet and ready to make a tangible impact through ML-driven innovations, we'd love to have you on our team.

The Opportunity:

As a Founding Machine Learning Engineer focusing on Energy Trading, you'll play a crucial role in shaping the future of energy trading at enzum. Your expertise in quantitative finance and analytics will be instrumental in enhancing our trade desk modelling and integrating these advanced models into our trading and risk platforms.

Why enzum?

• Equity Participation: At enzum, we recognize the value of equity participation and offer this opportunity in lieu of traditional compensation packages, aligning with our status as a startup.
• Ownership and Impact: You'll have the unique opportunity to significantly shape our product and tech stack from the ground up, contributing to the foundation of our future.
• Founding Team: Join a team renowned for their excellence in their previous fields, offering a wealth of knowledge and experience to learn from.
• Culture and Best Practices: This role gives you the ability to define the company’s engineering culture and best practices, ensuring a collaborative and innovative work environment.
• Good Vibes Work Environment: We’re committed to maintaining a positive work atmosphere.
• Remote Friendly: We’re remote friendly, but we have an office space and would love to have you there, blending the best of both worlds for flexibility, collaboration, and innovation.

Your Role:

• Develop and deploy end-to-end Machine Learning solutions, from ideation to execution.
• Design and implement advanced models to maximize profitability, taking into account price fluctuations and asset lifecycle.
• Leverage quantitative finance and data analytics to optimize trade desk modeling, driving data-driven trading decisions.
• Ensure seamless integration of models into our quantitative library and trading/risk platforms, complete with rigorous testing and comprehensive documentation.
• Collaborate closely with stakeholders, employing innovative analytics and strategies to tackle challenges and capitalize on market opportunities.

What We Look For:

• Advanced degree in Machine Learning, Computer Science, Engineering, Mathematics, Operations Research, or a related field.
• Proven expertise in developing and deploying Machine Learning models, with a solid foundation in data analytics.
• Experience with DevOps, Data Engineering, Cloud Solutions, and Data Analysis is advantageous.
• Proficiency in programming languages relevant to Data Science and statistics, particularly Python.
• Exceptional problem-solving skills, adept at creating and implementing complex models in a trading context.
• Understanding of energy markets, battery technology, and trading strategy considerations is highly valued.
• Excellent communication, collaboration, and leadership abilities, thriving in a fast-paced startup environment.

Our offer is more than just a job. It's a chance to be at the heart of innovation, shaping the future of energy trading and making renewable energy more efficient and accessible. If you're driven by challenge, innovation, and the prospect of contributing to a sustainable future, we'd love to hear from you.

Get in touch!