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Machine Learning Engineer

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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–of which 90% will fail in clinical trials.

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 alone, 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 more more than 30 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 a Machine Learning Engineer to join our talented, ambitious, and kind team. 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. As an early machine learning engineer at a rapidly-growing startup, you’ll have the opportunity for high impact while learning and growing with the company.

What you’ll do:

Develop machine learning models to predict molecular properties from chemical structures
Develop novel algorithms for generating ideas for new molecules
Build agents that can synthesize complex information from drug programs and apply that information strategically toward molecular optimization
Get your hands dirty by diving deep into our unique, proprietary dataset to iterate on modeling ideas and improve model performance
Collaborate closely with chemists and software engineers to integrate models into our software platform, which is used by drug discovery scientists across the industry
Build and optimize scalable infrastructure for model training, deployment, and monitoring
Engage directly with our scientific users, incorporating their feedback into the product
Contribute meaningfully to product strategy and company direction

Who you are:

You have 4+ years of experience as a Machine Learning Engineer, Machine Learning Scientist, Data Scientist, or similar role
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 are comfortable writing high-quality, reusable code and productionizing models for serving in the cloud
You are excited to dive deep into the science and practice of drug discovery
You have exceptional written and oral communication skills

Average salary estimate

$100000 / YEARLY (est.)

min

max

$80000K

$120000K

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What You Should Know About Machine Learning Engineer, Inductive Bio

Are you passionate about using machine learning to revolutionize drug discovery? Inductive Bio is on a mission to change the game by predicting molecular behavior with cutting-edge AI technologies, and we're looking for a talented Machine Learning Engineer to join our vibrant team. In this role, you'll be at the forefront of innovation, developing machine learning models that can decipher complex molecular properties from chemical structures. Your work will directly impact the development of safer and more effective medicines, reducing the time and cost associated with drug testing. You'll collaborate closely with top-notch drug discovery scientists and software engineers, ensuring that your models are seamlessly integrated into our robust software platform. At Inductive Bio, we pride ourselves on our unique proprietary dataset, which you'll be diving into as you iterate on ideas and enhance model performance. You'll also have the chance to build and optimize scalable infrastructures for model training and deployment. We're a rapidly growing startup with a friendly and ambitious team, so not only will you be learning and advancing your skills, but you'll also be making significant contributions to the direction of our products and ultimately the future of medicine. If you've got over four years of experience in machine learning, are proficient in Python-based frameworks like TensorFlow or PyTorch, and have a genuine interest in drug discovery, we can't wait to hear from you!

Frequently Asked Questions (FAQs) for Machine Learning Engineer Role at Inductive Bio

What responsibilities does a Machine Learning Engineer at Inductive Bio have?

At Inductive Bio, the Machine Learning Engineer plays a crucial role in developing models to predict molecular properties based on chemical structures. Responsibilities include creating novel algorithms for generating new molecule ideas, synthesizing complex drug program information for molecular optimization, and optimizing scalable infrastructures for model training and deployment.