- 2 AI/ML Engineers
- 2 AI/ML Scientists
Location is Remote resources should be in EST time zone.
Duration Start in early January for 6 months
Below are role specific details:
Engineer
- Curate and maintain data repositories from public and internal sources for model development and evaluation.
- Develop data ingestion and transformation scripts
- Experience with construction and design of the entire ML pipeline including training deployment and hosting in a production environment using engineering best practices (e.g. unit testing monitoring logging)
- Fluency in the Python ML/data science stack(e.g. PyTorch ScikitLearn Pandas)Proficiency in cloud engineering (AWS/Azure/GCP) and infrastructureascode (e.g. Terraform or equivalent)
- Proficiency with ETL/data pipelines and data stores
- Facility with web application technologies (e.g. FastAPI UI development)
Scientist
- Develop and train machine learning models for biological applications such as protein design and computational biology
- Evaluate performance of models.
- Demonstrated experience working in a fastpaced research environment (developing and testing hypotheses rapid prototyping etc.
- Deep familiarity with stateoftheart research techniques and their tradeoffs (at NeurIPS CVPR ICML ICLR etc)
- Deep experience in a quantitative discipline(machine learning math statistics physics etc.
- Expertise in experimental design and evaluation including methodology for comparing model performance statistical analysis and ablation studies
- Clear communication skills
- Strong Python software development skills
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