Protogon Research is an AI-based Quant Trading Firm.
We build cutting-edge AI systems for trading, and have a long-term goal of building AGI. As part of our mission, we're looking for a Back-End / ML Engineer who thrives in the intersection of complex systems and cutting-edge machine learning. If you're passionate about building novel systems in a fast moving environment, we want you on our team.
What You'll Do:
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Develop Robust Systems: Design, implement, and maintain scalable back-end systems that serve as the foundation for our AI projects.
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Innovate with ML: Apply machine learning algorithms and techniques to solve challenging problems, contributing directly to our trading (and AGI) efforts.
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Optimize Performance: Ensure the high performance and responsiveness of our systems, optimizing for both speed and scalability.
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Stay on the Cutting Edge: Continuously learn and implement new technologies and best practices to keep Protogon Research at the forefront of AI innovation.
What We Offer:
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Competitive Salary: We recognize the unique value you bring to our team, reflected in our competitive compensation package.
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Comprehensive Benefits: Enjoy health coverage (medical, vision, dental) and the well-being support you need.
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A variety of voluntary benefits: FSA, HSA, & Commuter Benefits
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Flexible Vacation Policy, Sick Days, & Holidays
Who You Are:
Experienced Engineer: You have a strong background in back-end development, with proficiency in languages and frameworks relevant to our stack. Minimum two years of experience, and proficiency in Python.
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ML Savvy: You bring hands-on experience with machine learning, familiar with both the theoretical aspects and practical implementation of ML algorithms.
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Problem Solver: You excel at tackling complex technical challenges, breaking them down into manageable parts, and crafting effective solutions.
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Team Collaborator: You're adept at working in multidisciplinary teams, communicating effectively with both technical and non-technical colleagues in a small, remote team-based environment.
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Continuous Learner: You have an insatiable curiosity for new technologies and methodologies, always looking to improve and innovate.
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Detail-Oriented: You pay attention to the fine details, ensuring the quality and reliability of the systems you build.