Senior ML Engineer for Protein Design
2 days ago
The ideal candidate will have a strong background in machine learning, experience in MLOps, and a record of scientific achievement. You will be responsible for developing and deploying machine learning models for protein sequence design. This role offers an exciting opportunity to work with a dynamic, cross-functional team and contribute to the development of innovative solutions for therapeutic applications.
Key Responsibilities
• Develop and deploy machine learning models for protein sequence design
• Implement MLOps practices to streamline the model development and deployment process
• Collaborate with cross-functional teams to integrate ML models into data pipelines
• Gather and pre-process public datasets using bioinformatics tools
• Implement rigorous testing, documentation, and model benchmarking
Qualifications
• 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 for biological sequences is a plus
• Familiarity with bioinformatics tools and databases for pre-processing and analyzing biological sequence data
Estimated Salary Range
$120,000 - $180,000 per year, depending on experience.
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