Engineer, Machine Learning
60 First St, Cambridge, MA 02141
Korro Bio
Editing a single letter on RNA to modulate a biological pathway. Our mission is to deliver the promise of genetic medicines to complex prevalent diseases.We are collaborative and united by a common mission. We are building a company with extraordinary people with an audacious vision to create transformative genetic medicines for prevalent diseases. Our values - Rewrite the future, On the Cutting Edge, Better Together, Dynamically Different, Kindness and Integrity form the fabric of the organization. They are reinforced daily and serve as key dimensions in the hiring process to help us ensure that Korro is a magnet for outstanding talent and a great place to work. Join us as we redefine what's possible in genetic medicine and work to make a lasting impact on human health.
Position Summary: As an Engineer in our Machine Learning group, you will work to architect scalable systems that accelerate our ability to drive AI insights into RNA-based therapeutics. We are looking for a talented and experienced engineer, capable of bringing rapid ML POCs to production, with an eye for scale, reproducibility, and speed.
Key Responsibilities:
- Partner with our ML scientists to develop and scale novel deep learning model architectures that push forward our drug design capabilities.
- Collaborate with our Infrastructure and Engineering teams to develop scalable machine learning services to support our drug discovery operations.
- Collaborate with our IT, Data Engineering, and Bioinformatics teams to ensure the timely, scalable, repeatable processing of data to push forward our machine learning systems.
- Own the training and inference infrastructure for various model types, including transformer, GNN, and bi-LSTMs, among others.
Required Qualifications:
- BS with 5-7 years of experience, or MS with 3-5 years of experience, in Computer Science, Applied Mathematics, Bioinformatics, or a related field.
- Expertise in ML Frameworks, including at least one deep learning framework (e.g., PyTorch, Tensorflow, etc.).
- Strong background with containerization and cloud development for distributed systems.
- Experience training models at scale in distributed systems.
- Experience in entirety of the model lifecycle management process.
- Excellent communication skills, self-motivated problem-solver.
- Outstanding oral and written communication skills.
Preferred Qualifications:
Benefits: Korro offers competitive compensation, including equity-based compensation, and a comprehensive benefits package that includes medical, dental, vision, 401(k) retirement plan, life insurance, a dependent care flexible spending account and a Company-funded health savings account and free parking.* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Bioinformatics Computer Science Databricks Deep Learning Distributed Systems Drug discovery Engineering LLMs Machine Learning Mathematics MLOps Pipelines PyTorch SageMaker TensorFlow
Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Flexible spending account Health care
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