4 дня назад
Sr Manager, AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr Manager, AI (AI/ML, Genomics): Leading the technical direction of AI and machine learning systems for genomic, phenotypic, and multi-omic prediction, including production ML workflows and agentic systems, with an accent on scientific modeling, model evaluation, and biological data. Focus on building reliable foundation-model, RAG, and agentic solutions, validating predictions against experimental and field outcomes, and developing a high-caliber ML engineering team.
Location: Cambridge, MA, United States
Company
is an agricultural biotechnology company developing sustainable seed products through predictive design, multiplex gene editing, AI, and biological research.
What you will do
- Set the technical direction, standards, and roadmap for the AI Team.
- Lead production ML workflows supporting genomic, phenotypic, and multi-omic predictions for scientists.
- Define model evaluation and validation against experimental and field outcomes.
- Drive applied AI solutions including foundation models, GenAI, RAG, and agentic systems.
- Manage, mentor, and develop ML engineers while coordinating focused contractor engagements.
- Represent the AI Team in Data & AI Strategy discussions and remain hands-on with complex technical problems.
Requirements
- MS or PhD in Computer Science, Engineering, Computational Biology, or a related field, or a BS with equivalent experience, plus 7+ years in ML, AI, or related technical roles.
- Production experience with ML models and pipelines, including advanced Python and scientific computing.
- Experience training and deploying neural networks with PyTorch and/or TensorFlow.
- Practical experience with AWS, SageMaker, Docker, MLflow, Airflow, or equivalent tools.
- Experience leading technical teams, owning modeling roadmaps, and influencing cross-functional decisions.
- Strong practical understanding of foundation models, RAG, agentic workflows, and biological data, with clear communication across scientific and engineering functions.
Nice to have
- Experience in life sciences, biotech, AgTech, or another scientific domain.
- Familiarity with genomics, transcriptomics, proteomics, trait prediction, functional genomics, or network-based modeling.
- Experience fine-tuning foundation models and delivering production RAG, agentic, model-serving, or agent integration systems.
- Familiarity with AWS SageMaker, MLflow, AWS Bedrock AgentCore, MCPs, or similar platforms.
Culture & Benefits
- Work on AI, biology, genomics, engineering, and gene-editing applications for sustainable agriculture.
- Collaborate with computational biologists, data engineers, software engineers, and crop scientists.
- Join a culture based on integrity, collaboration, openness, shared ownership, and bold thinking.
- provides immigration sponsorship for candidates in certain qualified roles that meet performance criteria.
- Equal opportunity employer committed to diversity and inclusion.
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