Senior AI/ML Engineer
1 week ago
Our client is a leader in revolutionizing biomedical research and therapy development using cutting-edge AI and machine learning techniques.
Their mission is to accelerate the discovery and development of new biomedicines through innovative computational approaches, enabling breakthroughs in healthcare.
We are seeking a highly skilled Senior AI/ML Engineer with deep expertise in PyTorch, deep learning, large language models (LLMs), MLOps, and advanced architectures such as transformers and diffusion models.
This role will be pivotal in developing and deploying AI models that can process and analyze complex biomedical datasets, with a focus on creating innovative solutions for drug discovery.
The ideal candidate will have a strong background in AI/ML, with a particular focus on biomedical applications and ideally previous experience in drug discovery.
Key Responsibilities- Design, develop, and deploy advanced AI and ML models with a focus on deep learning techniques.
- Develop and fine-tune large language models (LLMs) for various applications in the biomedical domain.
- Implement and optimize transformer and diffusion architectures for tasks such as sequence modeling, image analysis, and generative modeling.
- Lead the integration of MLOps best practices, ensuring scalable and efficient deployment, monitoring, and maintenance of AI models.
- Collaborate with cross-functional teams, including data scientists, bioinformaticians, and domain experts, to translate research requirements into machine learning models.
- Analyze and interpret complex biomedical datasets, including genomic, proteomic, and clinical data, to generate actionable insights for drug discovery.
- Apply AI/ML methods to accelerate drug discovery processes, such as target identification, drug screening, and optimization.
- Master's or Ph.D. in Biomedicine, Bioinformatics, Computer Science, Machine Learning, or a related field.
- 5+ years of experience in AI/ML engineering, with a strong focus on PyTorch and deep learning.
- Proven experience with large language models (LLMs), transformer architectures, and diffusion models.
- Experience with MLOps, including model deployment, CI/CD pipelines, model monitoring, and version control.
- Previous experience working with biomedical datasets (e.g., genomics, proteomics, clinical data) is required and knowledge of drug discovery processes is highly preferred.
- Competitive salary and equity offering.
- Comprehensive health, dental, and vision insurance.
- 401(k) with company match.
- Flexible hybrid work environment.
- Opportunities for professional development and career growth.
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
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