Machine Learning Intern – New Zealand (Remote/Hybrid)

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LanzaTechLanzaTech

Machine Learning Intern – New Zealand (Remote/Hybrid)

Company: LanzaTech
Location: Remote in New Zealand (Hybrid preferred)
Job Type: Temporary Internship (Max 400 hours)
Duration: November to late February
Category: Internship / Machine Learning

Join LanzaTech’s Post Pollution Revolution!

At LanzaTech, we believe that the carbon we need to produce everything already exists above ground. With our groundbreaking biorecycling technology, we’re creating sustainable raw materials from carbon, reducing the reliance on fossil fuels in both consumer goods and transport fuels. Our mission is to build a circular carbon economy that turns waste into valuable products.

Our Impact So Far:

  • Over 300,000 tons of CO2 abated (equivalent to the emissions of over 30 billion smartphone charges).
  • Capacity to abate 500,000 tons annually across four commercial plants.
  • Partnering with global brands like Zara, H&M Move, Coty, and On to create sustainable consumer goods from recycled carbon.

About Us:

  • Women-led company with a global presence.
  • Over 400 employees in locations such as Chicago, Europe, India, China, and New Zealand.
  • Named one of TIME Magazine’s 100 Most Influential Companies of 2023.

About the Role: Machine Learning Intern

We are looking for a Machine Learning Intern to join our R&D team from November to late February. As an intern, you will work on refining our large language model (LLM) question-answering system, which helps our team access a vast knowledgebase of scientific data collected over the past 19 years.

You will be responsible for:

  • Improving the accuracy and speed of the LLM’s responses.
  • Integrating new data modalities such as genetic and chemical information.
  • Exploring bioinformatics and cheminformatics tools to broaden the scope of the question-answering system.

You’ll be supported by an experienced developer throughout the process as you lead the investigation and implementation of new machine learning techniques.

Position Requirements:

  • Currently enrolled in or recently completed a degree in Computer Science, Data Science, Software Engineering, or a related field.
  • Availability to work full-time over the summer (up to 400 hours).
  • Eligibility to work in New Zealand.
  • In-person or hybrid work from our Parnell office preferred, but remote is possible.

Preferred Knowledge/Skills:

  • Proficiency in Python.
  • Strong analytical and problem-solving skills.
  • Excellent communication and teamwork abilities.
  • Interest in applying machine learning to solve scientific challenges.

Work Environment:

  • Able to work on a computer for a full working day.

Why Join LanzaTech?

  • Work with a woman-led company that’s making real strides in carbon recycling technology.
  • Be part of a mission-driven team focused on sustainability and innovation.
  • Help develop tools that will transform how the world views waste carbon.

How to Apply:

Interested in joining our machine learning team and helping shape the future of sustainable carbon? Apply now to start your journey with LanzaTech.

Note: This position is open to candidates authorized to work in New Zealand on a full-time basis. We cannot sponsor work visas, and preference will be given to local candidates.

Learn more about us at LanzaTech News or follow us on LinkedIn, Twitter, and Instagram.

APPLY HERE

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