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Machine Learning Engineer (Internship/Part-Time)

Terra LogoTerra


Date Posted

01 Mar, 2023

Salary Offered

$45000 — $60000 yearly

Job Type

Internship

Experience Required

No experience required

Remote Work

Not Allowed

Stock Options

No

Vacancies

1 available


We are looking for a Machine Learning Engineer to join our team for an internship or as a part-time student to help us take our product to the next level. The ideal candidate should be enrolled at a University and have a passion for developing and implementing machine learning algorithms and models, as well as a strong understanding of data structures and algorithms or a willingness to learn fast. You will work closely with our product and engineering teams to integrate machine learning models into our API and work with large datasets to extract insights and make data-driven decisions. You should have excellent collaboration skills, be able to work in a fast-paced environment, and remain organized and detail-oriented.

Preferred Background:

  • Pursuing a Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, Data Science, or a related field.
  • Strong technical skills in machine learning, data structures, and algorithms.
  • Experience with programming languages such as Python or R.
  • Ability to quickly learn and apply new technologies.
  • Excellent problem-solving and analytical skills.

Must haves.

  • You get things done.
  • Must be fast. We operate at 200mph, and so do you.
  • Must be relentless. We never stop, so you are even faster than us.
  • Must have high standards. We think customers first and so should you.
  • Must be driven and go above and beyond.
  • Must be able to explain and communicate clearly.
  • Must be prepared to challenge us and disagree. We are thinking and acting as a team.
  • Must be able to work autonomously.
  • Must want to work hard.
  • Last but not least, you are genuinely a nice person.

Big plus You are an athlete, or care about quantifying your data

About Terra

Terra Logo

API for dynamic health data from wearables and sensors

Company Size: 11 - 50 People
Year Founded: 2020

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