Machine Learning Engineer

miBiome Therapeutics is a biotech company pioneering data-driven solutions in human health through genomics and research. We're a growing, research-first team working on real-world biological problems that require advanced machine learning and statistical modeling.

What You’ll Do:

As a Machine Learning Engineer at miBiome, you’ll collaborate closely with bioinformaticians and research scientists to develop, train, and validate models that power genomics-based insights.

Your work will involve:

• Building and optimizing ML models for large-scale genomics data
• Designing pipelines to process, integrate, and analyze structured and unstructured biological datasets
• Contributing to model evaluation and interpretation in the context of real-world genomics challenges
• Working cross-functionally with biology, data, and engineering teams

What We’re Looking For:

• 1 – 2 years of experience in machine learning, preferably with real-world dataset experience
• Strong grasp of supervised and unsupervised learning techniques
• Proficiency in Python (TensorFlow/PyTorch, scikit-learn, etc.)
• Solid understanding of data preprocessing, model evaluation, and feature engineering
• Familiarity with version control (Git) and collaborative dev workflows

Bonus: Experience with genomics data, biomedical datasets, or biotech R&D environments

Why Join Us:

• Opportunity to work on cutting-edge health tech challenges
• Work alongside top talent in biology, engineering, and data science
• Flexible work environment with deep scientific impact

Be part of a mission to transform human health through data