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We build next-generation trading strategies and software

Machine Learning Engineer

$110k – $140k • No equity
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As a Tensor Technologies Machine Learning Engineer, you will help lead the design and development of our algorithmic trading strategy. You will work alongside a team of talented and experienced team members including industry leaders from banking, investing, and market structure. You will be among Tensor Technologies’ first full-time employees, with a unique opportunity to shape the company’s culture and future.

The ideal candidate for this role has a verifiable track record in developing machine learning solutions that have delivered significant business impact. They will have been recognized by peers for successes in major product and technology initiatives. The candidate also must be an excellent communicator who can confidently lead discussions with team members and other key stakeholders.

Your main responsibilities will be:
- Design and improve automated trading strategies for low latency environments
- Research and prototype state-of-the-art machine learning models
- Design processing pipelines for terabytes of price data

You need the following experience
- PhD degree in Computer Science, Mathematics, Physics or a related field or a Master’s degree with relevant experience
- 2+ years of experience developing ML solutions in Python and Scala; Spark is a strong plus
- Experience in some of the following areas: AWS, Databricks, TensorFlow, Docker, Kubernetes
- A solid grasp of computer science and engineering fundamentals including concurrency, multithreading, data structures, solution design, architecture, and design patterns
- Industry experience working with machine learning frameworks, large-scale data processing systems, or cloud infrastructure
- Experience in time series analysis is an advantage
No finance background is necessary or expected. This is a great opportunity for the right candidate to kick start a career in the financial technology space.

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