Engineer, Machine Learning

Company Summary: Korro is a biopharmaceutical company focused on developing a new class of genetic medicines for both rare and highly prevalent diseases using its proprietary RNA editing platform. Korro is generating a portfolio of differentiated programs that are designed to harness the body’s natural RNA editing process to effect a precise yet transient single base edit. By editing RNA instead of DNA, Korro is expanding the reach of genetic medicines by delivering additional precision and tunability, which has the potential for increased specificity and improved long-term tolerability. Using an oligonucleotide-based approach, Korro expects to bring its medicines to patients by leveraging its proprietary platform with precedented delivery modalities, manufacturing know-how, and established regulatory pathways of approved oligonucleotide drugs. Korro’s lead program is Alpha-1 Antitrypsin Deficiency (AATD). Korro is based in Cambridge, Massachusetts.

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

• Familiarity working with biological data and pipelines.
• Experience training LLM models across pre-training and fine-tuning stages.
• Extensive experience in at least one MLOps platform (e.g., Sagemaker, Databricks, AzureML, etc.).
  
  

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.