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Internship - Machine Learning

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Skill Farm

10d ago

  • Internship
    Full-time
    Summer Internship
  • Data
    Software Engineering
  • London

AI generated summary

  • You need a post-graduate degree or commercial ML experience, strong math skills, knowledge of deep learning/NLP, and proficiency in Python and libraries like scikit-learn and Pandas.
  • You will work under a mentor, receive feedback, collaborate with senior staff, and prepare for a final presentation of your research ideas to management.

Requirements

  • A post-graduate degree in Machine Learning or a related discipline, or commercial experience developing novel machine learning algorithms. We will also consider exceptional candidates with a proven record of success in online data science competitions, such as Kaggle. PhD level study is preferred
  • Experience in one or more of deep learning, reinforcement learning, non-convex optimisation, Bayesian non-parametrics, NLP or approximate inference
  • Excellent reasoning skills and mathematical ability are crucial: off-the-shelf methods don't always work with our data, so you will need to understand how to develop your own models
  • Strong programming skills and experience working with Python, scikit-learn, SciPy, NumPy, Pandas and Jupyter

Responsibilities

  • You will be paired with a mentor who will supervise your work and provide ongoing feedback to help you improve and develop, as well as access to senior staff who are leaders in their fields.
  • Your internship will culminate in a final presentation of your research ideas to senior management.

FAQs

What are the qualifications required for this internship?

A post-graduate degree in Machine Learning or a related discipline is required, or commercial experience developing novel machine learning algorithms. Exceptional candidates with a proven record of success in online data science competitions, such as Kaggle, will also be considered. PhD level study is preferred.

What programming languages and tools should I be familiar with for this role?

Strong programming skills and experience with Python, scikit-learn, SciPy, NumPy, Pandas, and Jupyter are required for this internship.

What areas of machine learning should I have experience in?

Experience in one or more of the following areas is preferred: deep learning, reinforcement learning, non-convex optimization, Bayesian non-parametrics, NLP, or approximate inference.

Will I have a mentor during my internship?

Yes, you will be paired with a mentor who will supervise your work and provide ongoing feedback to help you improve and develop.

What can I expect at the end of the internship?

The internship will culminate in a final presentation of your research ideas to senior management.

Is prior experience in data science competitions beneficial for this role?

Yes, a proven record of success in online data science competitions, such as Kaggle, is considered a valuable asset for this internship.

What kind of reasoning skills are required for this position?

Excellent reasoning skills and mathematical ability are crucial, as you will need to understand how to develop your own models when off-the-shelf methods don't work with the data.

How will my work be evaluated during the internship?

You will receive ongoing feedback from your mentor and access to senior staff who are leaders in their fields, allowing for continuous improvement and development of your work.

Is this internship suitable for undergraduate students?

This internship is primarily aimed at post-graduate students or those with relevant experience, so it may not be suitable for undergraduate students.

Is a PhD level of study preferred for applicants?

Yes, while not mandatory, a PhD level of study is preferred for candidates applying for this internship.

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Human Resources
Industry
1-10
Employees
2023
Founded Year

Mission & Purpose

Skillfarm is a professional development platform that focuses on building and enhancing skills in areas such as leadership, communication, and problem-solving. Their ultimate mission is to empower individuals and teams to achieve their full potential through targeted skill-building programs. The purpose of Skillfarm is to bridge the gap between existing skills and the demands of the modern workplace, enabling users to thrive in their careers by offering practical, real-world training solutions.