Senior Machine Learning Engineer (AI)

Location: United States - Remote

Salary: $156,190.05–$211,315.95 per year

Company

hirify.global is a biotechnology company developing and delivering medicines for serious illnesses across oncology, inflammation, general medicine, and rare disease.

What you will do

• Build scalable AI proofs-of-concept with a clear path from prototype to enterprise-scale production.
• Translate ambiguous business needs into practical AI solutions with product managers, business stakeholders, platform teams, and AI engineers.
• Design modern AI systems using LLMs, agentic workflows, retrieval-augmented generation, data pipelines, APIs, cloud-native services, and enterprise platforms.
• Assess feasibility, data readiness, integration complexity, user experience, security, performance, cost, and business impact.
• Create reusable architectures, components, documentation, decision records, and handoff materials.
• Improve engineering practices, mentor colleagues, and establish ownership in fast-moving work.

Requirements

• Doctorate degree; or a master's degree with 2 years of relevant experience; or a bachelor's degree with 4 years; or an associate's degree with 8 years; or a high school diploma/GED with 10 years.
• 4–6 years of relevant experience in AI engineering, machine learning engineering, software engineering, data engineering, cloud engineering, or a related field.
• Experience building scalable, secure, evaluated, and maintainable full-stack AI applications.
• Strong knowledge of LLMs, retrieval-augmented generation, embeddings, vector databases, agentic workflows, orchestration, and AI evaluation.
• Experience with AWS Cloud, data pipelines, integration architecture, containers, CI/CD, observability, and secure development.
• Strong software engineering skills, preferably with Python, plus communication, ownership, and cross-functional leadership.

Nice to have

• Experience responsibly using AI tools to improve engineering productivity and automate repetitive tasks.

Culture & Benefits

• Collaborative, innovative, and science-based work environment.
• Health, dental, vision, life, disability, and flexible spending benefits.
• Retirement and savings plan with company contributions.
• Discretionary annual bonus and stock-based long-term incentives.
• Paid time-off plans, work-life balance support, and career development opportunities.
• Flexible work models where applicable.

Hiring process

• Applications are accepted until a sufficient number of candidates are received or a candidate is selected.
• Sponsorship for this role is not guaranteed.