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Biomolecule Design Machine Learning Engineer, Senior
2 months ago
We are a biotechnology company that invents platforms and builds companies that change the world. Our mission is to leverage AI and high-throughput automation for valuable therapeutic discovery and development across biological modalities.
**The Role**
Aitopics is seeking a dedicated and skilled Machine Learning Engineer, Biomolecule Design to join our team. This role will focus on MLOps for training large scale ML models of RNA and/or DNA. You will work closely with biologists, bioinformaticians, software developers, and automation engineers to develop and deploy machine learning models for sequence design.
- Developing, training, and deploying machine learning models for RNA/DNA sequence design.
- Implementing MLOps practices to streamline the model development and deployment process.
- Collaborating with cross-functional teams to integrate ML models into the data pipelines for our labs.
- Gathering and pre-processing public datasets with bioinformatics tools to pre-train ML models.
- Implementing rigorous testing, documentation, and model benchmarking.
**Requirements**
- Master's degree in computer science, computational biology, physics, or other quantitative disciplines.
- Experience with MLOps practices and tools including version control, automated testing, and CI/CD.
- Experience in at least one ML framework (PyTorch /TensorFlow/Jax) and robust experience in the Python data science ecosystem.
- Experience with large language models (e.g. autoregressive LLMs) for biological sequences is a plus.
- Familiarity with bioinformatics tools and databases for pre-processing and analyzing biological sequence data.
**What You'll Get**
- Access to advanced technology in the areas of AI experimental design and simulation.
- A collaborative and dynamic work environment.
