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Machine Learning Intern

Drug discovery is a prediction problem. Scientists design molecules that they predict will be potent, safe, and readily absorbed into the body, but ultimately lab experiments must be run to know whether these predictions are accurate. Each one of these experiments can take weeks or months to run, and as a result it costs millions of dollars and takes years to design a molecule that is ready for testing in humans.

At Inductive Bio, we're using AI to build in silico models that can more accurately predict how molecules will behave in experiments. By predicting complex molecular properties directly from the molecular structure, our platform helps scientists make better decisions faster—ultimately bringing safer, higher-quality medicines to patients more quickly. We are enabled by a unique and growing proprietary data set, and we are already applying our methods to dozens of active drug discovery programs. Backed by leading investors at the intersection of biotechnology and technology and advised by renowned experts in drug discovery, we are growing rapidly and poised to make a major impact in drug discovery.

We are seeking Machine Learning Engineering Interns to join our talented, ambitious, and kind team for a few months. You'll have the opportunity to innovate on methods, work with leading drug discovery scientists, and apply your work immediately to drug programs at some of the most innovative biotechs in the world. You may also have the opportunity to publish on your work.

Types of projects you might work on:

  • Improving methods for predicting molecular properties from chemical structures

  • Improving generative chemistry methods

  • Building agents that can synthesize complex information from drug programs and applying that information toward molecular optimization

  • Engaging directly with our scientific users, incorporating their feedback into your work

Who you are:

  • You are an advanced undergraduate or graduate student and have done research on machine learning methods, ideally (but not necessarily) related to machine learning for chemistry, biology, or more general work with LLMs

  • You have expertise in machine learning fundamentals, deep learning architectures, and evaluation approaches

  • You are proficient in standard Python-based ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn)

  • You have exceptional written and oral communication skills

Working at Inductive

At Inductive Bio, we know that the people on the team are what make us great. We offer competitive compensation for our interns. We are a passionate, kind, and mature team. Working at a fast growing startup is not always a 9-5 job, but we believe that our employees, including interns, should have full lives beyond their career.

What You Should Know About Machine Learning Intern, Inductive Bio

Are you ready to dive into the dynamic world of drug discovery? At Inductive Bio, we're on a mission to revolutionize how medicines are developed, using cutting-edge AI to predict molecular behavior. As a Machine Learning Intern, you'll be a vital part of our innovative team for a few months, working remotely with some of the brightest minds in biotechnology and technology. Our company is leveraging advanced machine learning techniques to create models that can forecast molecular properties from chemical structures, streamlining the drug discovery process. You'll have the chance to tackle exciting projects, such as enhancing predictive methods and developing agents to synthesize information from drug programs. We look for forward-thinking individuals who can engage with our scientific users and incorporate their feedback into machine learning challenges. It’s essential that you come equipped with experience in machine learning fundamentals and a proficiency in Python-based frameworks like PyTorch or TensorFlow. Alongside your technical skillset, your ability to communicate effectively will help you thrive in this environment. Joining Inductive Bio means being part of a warm and supportive team that values work-life balance, even in a fast-paced startup setting. With competitive compensation and potential for publication of your work, this internship is a fantastic opportunity to make a significant impact while growing your own expertise. Let's innovate together and bring safer, higher-quality medicines to those who need them most!

Frequently Asked Questions (FAQs) for Machine Learning Intern Role at Inductive Bio
What responsibilities does a Machine Learning Intern at Inductive Bio have?

As a Machine Learning Intern at Inductive Bio, your responsibilities will include improving methods for predicting molecular properties from chemical structures, enhancing generative chemistry methods, and building agents to synthesize complex information from drug programs. Additionally, you'll engage directly with our scientific users, gathering crucial feedback to inform your work.

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What qualifications do I need to apply for the Machine Learning Intern position at Inductive Bio?

To qualify for the Machine Learning Intern position at Inductive Bio, you should be an advanced undergraduate or graduate student with experience in machine learning research, ideally related to chemistry or biology. A solid grasp of machine learning fundamentals, deep learning architectures, and proficiency in Python-based ML frameworks like PyTorch or TensorFlow is essential.

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Can I publish my work as a Machine Learning Intern at Inductive Bio?

Yes, as a Machine Learning Intern at Inductive Bio, you may have the opportunity to publish your work. We value the innovative contributions of our interns and encourage you to share your findings with the scientific community.

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What is the work culture like for Machine Learning Interns at Inductive Bio?

The work culture for Machine Learning Interns at Inductive Bio is passionate and supportive. Our team is described as kind and mature, and we prioritize maintaining a healthy work-life balance even in a fast-paced startup environment.

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What types of projects can I expect to work on as a Machine Learning Intern at Inductive Bio?

As a Machine Learning Intern at Inductive Bio, you will work on diverse projects, including improving predictive models, developing generative chemistry methods, and directly collaborating with our scientific users to incorporate their feedback into your machine learning tasks.

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Common Interview Questions for Machine Learning Intern
What experience do you have with machine learning frameworks?

When responding to this question, outline the specific machine learning frameworks you have worked with, like PyTorch or TensorFlow. Be ready to discuss projects where you applied these frameworks and highlight any particular challenges you overcame.

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Can you describe a machine learning project you worked on?

Detail a specific project, the objectives you set, the methods you used, and the outcomes. Include any collaboration with a team and emphasize any unique approaches or innovative solutions you implemented.

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How do you approach improving a machine learning model?

Explain your systematic approach to enhancing model performance, including the evaluation of existing metrics, testing different algorithms, hyperparameter tuning, and leveraging feedback. Illustrate your answer with examples from your experience.

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What are generative models, and why are they useful?

Generative models are designed to generate new samples from a learned distribution. Discuss their application in drug discovery, such as generating new molecular structures or predicting molecular performance based on existing data.

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How do you ensure effective communication with scientific teams?

Communicating effectively means active listening, being clear and concise in your explanations, and adapting your language based on your audience. Give examples of how you've successfully collaborated in cross-disciplinary teams.

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What challenges have you faced in machine learning research?

Discuss specific challenges such as data quality, computational limitations, or integrating feedback from non-technical users, and how you've navigated these issues to achieve your goals.

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Why are you interested in drug discovery?

Share your passion for utilizing technology to make a tangible difference in healthcare. Highlight any personal reasons or experiences that led to your interest in drug discovery and AI's role within it.

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How do you stay updated with machine learning advancements?

Describe the various ways you keep current with the field, such as following key publications, attending conferences, participating in online forums, or engaging in continuous education courses.

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What role do you think AI will play in the future of drug discovery?

Articulate your vision of the transformative potential of AI in drug discovery, including faster candidate identification, personalized medicine applications, and the reduction of costs and time in development.

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How do you prioritize tasks in a complex project?

When addressing this question, outline your methods for assessing urgency and importance, using tools or frameworks you've found effective. Provide examples of how this has helped you meet deadlines and maintain project focus.

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HQ LOCATION
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EMPLOYMENT TYPE
Internship, remote
DATE POSTED
April 11, 2025

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