Senior Machine Learning Engineer (Generative AI)

Location: Remote/WFH; role location is Durham, North Carolina, United States of America

Base pay: $111,400.00–$278,500.00 annually; actual pay may vary by qualifications, location, and schedule. Incentive plans, bonuses, and benefits may also apply.

Company

hirify.global provides clinical research services, commercial insights, and healthcare intelligence for life sciences and healthcare organizations.

What you will do

• Lead the design and development of machine learning applications across the product portfolio, with a focus on generative AI and LLM solutions.
• Provide hands-on technical leadership, define architecture, and shape coding and software engineering standards.
• Guide the transformation of human-data machine learning research into viable prototypes and production-grade algorithms.
• Partner with software engineers, product managers, engineering managers, data scientists, and other stakeholders to translate technical and business variables into product decisions.
• Support multiple Scrum teams and work with external customers as a consultant or solution machine learning engineer.
• Research emerging tools, techniques, and algorithms; contribute to conference and journal articles when appropriate.

Requirements

• 5–8 years of experience creating machine learning algorithms for production purposes.
• Knowledge of traditional machine learning algorithms, including classification and regression, and MLOps processes.
• Experience building, testing, measuring, and deploying machine learning models in production.
• Experience with LLM engineering, including fine-tuning foundation models such as GPT-4, Claude, and open-source LLMs; implementing RAG systems; prompt engineering; and LLM evaluation frameworks.
• Expertise in generative AI applications, including multimodal text and image solutions, vector databases, embedding models, context-window optimization, and token management.
• Project leadership experience with Python, including Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, and SciPy; SQL; and Linux/Mac command-line tools.
• Familiarity with Agile software development, including Scrum or Kanban, and experience owning, maintaining, and enhancing software data products.
• Knowledge of software development best practices, including testing, continuous integration, DevOps tools, code clarity, development ease, and implementation correctness.
• Experience mentoring and training junior team members, especially through pair programming.
• STEM-related bachelor's, master's, or doctoral degree.

Nice to have

• Advanced LLM infrastructure experience, including orchestration frameworks, model quantization and optimization, guardrails, and safety mechanisms.
• Responsible AI experience involving hallucination mitigation, generative-output evaluation, and bias detection and mitigation.
• Experience with mixture-of-experts architectures, agent frameworks, model distillation, and efficient fine-tuning.
• Clinical-domain or regulated-data experience, including healthcare applications of LLMs.
• Knowledge of AWS, Azure, or GCP; Docker; large real-world datasets; product development lifecycle; CI/CD; biostatistics, life sciences, healthcare technology; and UX principles.
• Interest in peer mentorship and prior management training.

Culture & Benefits

• Full-time remote/WFH work supporting multiple product and Scrum teams.
• Collaboration with internal stakeholders, software engineering teams, and external healthcare customers.
• Opportunities to contribute to conference and journal publications.
• Health and welfare benefits may be provided, along with possible incentive plans, bonuses, or other compensation.
• hirify.global is an equal opportunity employer and requires truthful, complete application information; misrepresentation or material omissions may result in disqualification or termination.