Senior Principal AI Research Engineer (AI)

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

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

Company

hirify.global is developing AI-enabled capabilities for drug discovery, research, development, and translational science.

What you will do

• Design, develop, and deploy production-grade AI systems for multimodal biomedical models and intelligent agents.
• Engineer data pipelines, retrieval systems, evaluation frameworks, knowledge systems, inference services, and human-in-the-loop workflows.
• Own architecture, implementation, testing, deployment, monitoring, and continuous improvement for an end-to-end subsystem or platform capability.
• Translate scientific and business needs into scalable, reliable, secure, and maintainable technical solutions.
• Partner with AI scientists, computational biologists, data engineers, and platform teams to turn prototypes into reusable production systems.
• Improve engineering standards through architecture reviews, code reviews, troubleshooting, mentoring, and measurable reliability and performance improvements.

Requirements

• PhD in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or a related technical discipline plus 2+ years of relevant experience; or a master's degree plus 5+ years; or a bachelor's degree plus 6+ years.
• Demonstrated experience delivering production software or machine learning systems and owning technical solutions from architecture through deployment.
• Experience building reliable systems in cloud, distributed computing, or HPC environments.
• Strong Python development skills and proficiency with modern machine learning frameworks such as PyTorch or JAX.
• Proficiency in software architecture, system design, APIs, testing, debugging, version control, and technical documentation.
• Experience with containers, orchestration, CI/CD, and deployment workflows.
• Depth in one or more of distributed GPU training, model serving and inference optimization, AI platforms and MLOps, data and knowledge systems, LLM and agentic architectures, retrieval and RAG, AI evaluation, or performance and infrastructure optimization.
• Ability to work across interdisciplinary teams, navigate ambiguity, communicate technical concepts broadly, influence decisions, and support less-experienced teammates.
• Must have permanent authorization to work in the United States by any employer. U.S. work visa sponsorship is not available now or in the future.

Nice to have

• Experience in life sciences, healthcare, biotechnology, or highly regulated industries.
• Experience with multimodal AI, scientific machine learning, computational biology, or cheminformatics.
• Experience implementing responsible AI practices, evaluation frameworks, and governance controls.
• Evidence of technical impact through deployed systems, publications, patents, open-source contributions, or reusable engineering platforms.

Culture & Benefits

• Meaningful technical ownership and complex AI engineering challenges supporting scientific discovery.
• Collaboration with experts in AI, engineering, computational biology, and drug discovery.
• 401(k) with hirify.global matching and additional retirement contributions.
• Paid vacation, holidays, personal days, caregiver/parental and medical leave.
• Medical, prescription drug, dental, and vision coverage; relocation assistance may be available based on business needs and eligibility.