Head of AI
- Lead and manage a team of AI/ML researchers/engineers, providing technical guidance and fostering a culture of innovation
- Oversee the development and implementation of novel AI/ML models and algorithms
- Collaborate with interdisciplinary teams of lab scientists, bioinformaticians, and engineers to define research objectives and translate findings into practical applications
- Manage and prioritize multiple research projects, ensuring alignment with company goals and timelines
- Contribute to the architectural design of AI systems, balancing research exploration with production-grade implementations
- Provide thought leadership for the team
- Mentor team members, fostering their growth as AI researchers and engineers
- Represent Basecamp Research's AI capabilities at conferences, in publications, and in collaborations with academic and industry partners
- A graduate degree in Computer Science, Machine Learning, Computational Biology, or a related field
- 5+ years of industry experience in AI/ML research or engineering, of which at least 4 years in a technical lead or 3 years in a managerial role
- Strong publication record or demonstrated expertise in areas such as generative AI, deep learning, or computational biology
- Experience applying AI techniques to biological problems, particularly in protein design or DNA/genomics
- Proven track record of leading successful AI research projects and translating research into practical applications
- Excellent communication skills, able to explain complex AI concepts to diverse audiences
- Experience training large generative models, including experience with large-scale multi-node training on HPC GPUs or in the cloud (AWS/Lambda/Azure preferred)
- Strong problem-solving skills and ability to think critically about AI research challenges
- Excellent strategic planning skills
- Experience with protein or DNA bioinformatics
- MLOps experience
- Software engineering skills and knowledge of data pipelining (e.g. via Airflow) and prior experience of cloud-based ML model deployment
- Experience with Agile systems
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