Senior Principal Machine Learning Scientist (AI)

Location: Hybrid role in the United States; available locations include Bothell, Washington; San Diego, California; Cambridge, Massachusetts; Groton, Connecticut; Pearl River, New York; and New York City, New York. Colleagues must live within commuting distance of a hirify.global location and work on-site an average of 2.5 days per week.

Annual base salary: $139,100–$231,900, plus eligibility for a 17.5% bonus target and share-based long-term incentive program.

Company

hirify.global develops medicines and vaccines and is building AI capabilities for scientific discovery across drug research and development.

What you will do

• Develop, adapt, and improve foundation models, multimodal, graph-based, generative, and agentic AI methods for biomedical research.
• Design controlled, reproducible experiments and hypothesis-driven investigations across complex scientific data.
• Create datasets, benchmarks, validation strategies, and evaluation frameworks covering robustness, calibration, generalization, interpretability, uncertainty, and failure modes.
• Translate model results into scientific evidence and trusted capabilities for discovery programs.
• Build reusable model components, workflows, benchmarks, and shared evaluation infrastructure for transfer across diseases, modalities, and teams.
• Contribute to research planning and scientific reviews while mentoring colleagues and raising AI fluency across R&D.

Requirements

• PhD in machine learning, artificial intelligence, computer science, statistics, applied mathematics, computational biology, or a related quantitative field, with 2+ years of relevant experience; alternatively, a master’s degree with 5+ years of relevant industry or research experience.
• Experience developing, extending, or evaluating machine learning methodologies for difficult, ambiguous, high-value problems.
• Experience designing rigorous experiments, building and comparing models, and applying reproducible scientific methods.
• Ability to identify limitations, biases, uncertainty, and failure modes and translate research insights into meaningful outcomes and recommendations.
• Experience owning a research area, benchmark, model component, or scientific capability from concept through delivery.
• Strong Python and PyTorch, JAX, or an equivalent framework.
• Knowledge of model development, optimization, debugging, evaluation, statistical analysis, experimental design, and reproducible research.
• Familiarity with scalable machine learning workflows, including distributed training, experiment tracking, and shared evaluation pipelines.
• Depth in at least one area including multimodal learning, foundation models, graph neural networks, generative AI, agentic systems, biological sequence or structure modeling, knowledge graphs, clinical AI, omics, biomedical data, or scientific machine learning.
• Evidence of scientific impact through publications, patents, open-source contributions, deployed research, or comparable achievements is valued.
• Candidates must have permanent authorization to work in the United States and be authorized to work for any employer.

Nice to have

• Experience applying AI in life sciences, biotechnology, healthcare, pharmaceuticals, or biomedical research.
• Experience with biological, molecular, imaging, clinical, or real-world health data.
• Experience building foundation models or multimodal learning systems for scientific applications.
• Experience evaluating and implementing responsible AI methodologies.
• Experience working across multidisciplinary scientific organizations.

Culture & Benefits

• Scientific autonomy and ownership of high-impact research problems supported by rich biomedical data.
• Collaboration with AI researchers, computational biologists, engineers, clinical experts, and scientific partners.
• Benefits include a 401(k) with hirify.global contributions, retirement savings contributions, paid vacation and leave, and medical, prescription, dental, and vision coverage.
• Participation in hirify.global’s Global Performance Plan and share-based long-term incentive program may be available.
• Relocation assistance may be available based on business needs and eligibility.

Hiring process

• U.S. work visa sponsorship, including TN, O-1, and H-1B, is not available now or in the future.