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Machine Learning Engineer

Salary undisclosed

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Are you a recent Computer Science graduate or have around 1 years of experience?

Are you ready to make your mark at an early-stage startup with big ambitions?

We’re looking for a Machine Learning Engineer to join a growing team in the heart of Boston.

This fast-moving FinTech start up is looking to use machine learning to revolutionize how people and businesses interact with financial markets. Backed by experienced founders and top-tier investors, they’re building tools that turn complex financial data into actionable insights.

Experience required:

  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field
  • Internship or project experience working with financial datasets would be ideal
  • Solid Python skills and familiarity with ML libraries (e.g., scikit-learn, pandas, NumPy, TensorFlow or PyTorch)
  • Curious, detail-oriented, and a great communicator
  • Perks & Culture

    • Hybrid working: 1 day a week in a central Boston office,
    • Join a close-knit, mission-driven team where your voice actually matters

    Are you a recent Computer Science graduate or have around 1 years of experience?

    Are you ready to make your mark at an early-stage startup with big ambitions?

    We’re looking for a Machine Learning Engineer to join a growing team in the heart of Boston.

    This fast-moving FinTech start up is looking to use machine learning to revolutionize how people and businesses interact with financial markets. Backed by experienced founders and top-tier investors, they’re building tools that turn complex financial data into actionable insights.

    Experience required:

    • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field
    • Internship or project experience working with financial datasets would be ideal
    • Solid Python skills and familiarity with ML libraries (e.g., scikit-learn, pandas, NumPy, TensorFlow or PyTorch)
    • Curious, detail-oriented, and a great communicator
  • Perks & Culture

    • Hybrid working: 1 day a week in a central Boston office,
    • Join a close-knit, mission-driven team where your voice actually matters