Machine Learning Engineer

About The Company
HealthEdge is a leading healthcare technology company dedicated to transforming the delivery of healthcare through innovative software solutions. With a strong focus on leveraging artificial intelligence and machine learning, HealthEdge aims to improve clinical workflows, enhance patient outcomes, and streamline operational efficiencies. Located in Boston, MA, the company fosters a culture of inclusivity, collaboration, and continuous learning. HealthEdge's commitment to diversity and equal opportunity ensures a dynamic work environment where all employees can thrive, contribute meaningfully, and make a significant impact in the healthcare industry.
About The Role
We are seeking a talented and motivated Machine Learning Engineer to join our AI Platform team. In this role, you will be responsible for designing, developing, and deploying AI agents and automation solutions that address real-world challenges across our engineering, product, and healthcare delivery organizations. You will collaborate closely with stakeholders from various departments, including engineering, product management, and healthcare professionals, to understand their workflows, identify opportunities for automation, and deliver end-to-end solutions. Your expertise in machine learning and agentic AI will directly influence how HealthEdge builds software, delivers value to customers, and operates at scale. This position offers a unique opportunity to work at the intersection of healthcare and cutting-edge AI technology, making a meaningful difference in patient care and healthcare operations.
Qualifications

• Master's degree in Computer Science, Machine Learning, Data Science, or a related field. A Bachelor's degree with relevant experience will also be considered.
• 2–4 years of experience building and deploying machine learning or AI systems in production environments.
• Proficiency in Python programming language.
• Experience working with large language model (LLM) APIs, agentic frameworks such as LangChain or Strands, and prompt engineering techniques.
• Solid understanding of traditional machine learning frameworks like PyTorch and scikit-learn.
• Strong software engineering fundamentals, including version control, testing, CI/CD pipelines, and full development lifecycle management.
• Interest or familiarity with healthcare data, clinical workflows, electronic health records (EHR), and regulatory requirements is a plus.
• Excellent analytical and problem-solving skills with the ability to work with complex datasets.
• Exceptional verbal and written communication skills, capable of explaining technical concepts to non-technical stakeholders.
• A builder mindset with enthusiasm for transforming ideas into functional solutions.
• Ability to work collaboratively within cross-functional teams, accept feedback, and contribute to team success.

Responsibilities

• Develop and implement AI agents and automation solutions that enhance internal engineering workflows and customer-facing processes, overseeing the entire lifecycle from problem discovery to production deployment.
• Create reusable libraries, prompt templates, tool-use patterns, and evaluation scaffolding to support the AI platform’s growth and robustness.
• Collaborate with software engineers to integrate AI functionalities seamlessly into existing software infrastructure, ensuring optimal performance and reliability.
• Partner with product managers, implementation consultants, engineers, and business teams to identify pain points, scope solutions, and iterate toward measurable outcomes.
• Stay current with advancements in large language models, agentic frameworks, machine learning, and healthcare technology, applying new knowledge to foster innovation.
• Optimize AI systems for accuracy, latency, cost-effectiveness, and safety, with particular attention to human-in-the-loop design and healthcare-specific guardrails.
• Maintain clear and comprehensive documentation of model development processes, methodologies, and results to ensure transparency and reproducibility.
• Support continuous improvement of AI solutions through performance monitoring, troubleshooting, and iterative enhancements.

Benefits

• Competitive salary package aligned with experience and qualifications.
• Health, dental, and vision insurance plans.
• Flexible work environment with options for remote or hybrid work arrangements.
• Generous paid time off and holiday leave policies.
• Opportunities for professional growth and development through training and conferences.
• Inclusive and diverse workplace culture that values innovation and collaboration.
• Support for work-life balance and employee wellness programs.

Equal Opportunity
HealthEdge is an equal opportunity employer committed to fostering an inclusive environment for all employees. We celebrate diversity and are dedicated to creating a workplace where everyone feels valued, respected, and empowered to contribute to our mission. We do not discriminate based on race, ethnicity, gender, age, disability, veteran status, or any other protected characteristic. All qualified applicants are encouraged to apply, and we are committed to providing reasonable accommodations to enable individuals with disabilities to perform their essential job functions.