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Machine Learning EngineerHealthEdge • New York, New York, United States
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Machine Learning Engineer

HealthEdge
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Apply Now

About

Overview Machine Learning Engineer, AI Platform
As a Machine Learning Engineer, you will design, build, and ship AIagents and automation that solve real problems acrossHealthEdge'sengineering, product, and delivery organizations, including customer-facing operations.You'llpartner directly with stakeholders across Engineering, Product, andhealthcareprofessionalsto understand their workflows,identifyhigh-leverage opportunities, and deliver working solutions end-to-end. Your growingexpertisein machine learning and agentic AI will have a direct impact on howHealthEdgebuilds software, deliversforcustomers, andoperatesat scale.
Key Responsibilities
AIPlatformDevelopment: Develop and implement AI Agents and automation that accelerates internal engineering workflows and customer facing delivery processes, owning the full lifecycle from problem discovery, through prototyping, evaluation, hardening, and production deployment.Contribute reusable libraries, prompt templates, tool-use patterns, andevaluationscaffolding back to the AI Platform.
Integration: Partner with software engineers to integrate AI into the company's existing software infrastructure, supporting seamless functionality and performance.
Collaboration: Work directly with product managers, implementation consultants, engineers, and business operations teams toidentifypain points, scope solutions, and iterate toward measurable outcomes. You are the bridge between what AI can do and what the business needs done.
Research and Learning: Stay current with advancements inLLMs, agentic frameworks,machine learning,and healthcare technology, and apply new knowledge to contribute ideas for innovation within the team.
Performanceand Reliability: OptimizeAI systems for accuracy, latency, cost, and safety, with particular attention to human-in-the-loop design and guardrailsappropriate forhealthcare.
Documentation: Maintainclear documentation of model development processes, methodologies, and results to ensure transparency and reproducibility.
Required Qualifications
Education: Master's degree in Computer Science, Machine Learning, Data Science, or related field. A Bachelor's degree with relevant experience will also be considered.
Experience: 2–4 years of experience building and deploying ML or AI systems in production. Experience working directly with non-technical stakeholders or in embedded/consulting-style engineering roles is a strong plus.
Technical Skills: Strongproficiencyin Python. Experience with LLM APIs, agentic frameworks (LangChain, Strands, etc.), and prompt engineering alongside traditional ML frameworks (PyTorch, scikit-learn, etc.). Solid software engineering fundamentals — version control, testing, CI/CD, and comfortoperatingacross the full development lifecycle.
Healthcare Knowledge: Interest in or familiarity with healthcare data, clinical workflows, and regulatory requirements. Experience working with electronic health records (EHR) or other healthcare datasets is a plus but notrequired.
Analytical Skills: Strong problem-solving skills and the ability to work with complex datasets to derive actionable insights.
Communication: Excellentverbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders.
Builder Mindset: Energized by turning ideas into workingsolutions. You balance speed with quality, thrive in ambiguous problem spaces, and pick up new domains quickly.
Team Player: Ability to work collaboratively in a cross-functional team environment, accept feedback, and contribute to the success of the team.
HealthEdgecommits to building an environment and culture that supports the diverse representation of our teams. We aspire to have an inclusive workplace. We aspire to be a place where all employees have the opportunity to belong, make an impact and deliver excellent software and services to our customers.
Geographic Responsibility: WhileHealthEdgeislocatedinBoston, MA you may live anywhere in the US
*Note this role requires proof of US residency for the last consecutive 5 years*
Type of Employment: Full-time, permanent
Work Environment: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job:
The employeeis occasionally required tomove around the office. Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
Work across multiple time zones in a hybrid or remote work environment.
Long periodsof time sitting and/or standing in front of a computer using video technology.
May require travel dependent on company needs.
The above statements are intended to describe the general nature and level of the job being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skillsrequired.HealthEdgereserves the right tomodify, add, or remove duties and to assign otherdutiesas necessary. In addition, reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position in compliance with the Americans with Disabilities Act of 1990. Candidates maybe requiredto go through a pre-employment criminal background check.
HealthEdgeis an equal opportunity employer. We are committed to workforce diversity and actively encourage all qualified persons to seek employment with us, including, but not limited to, racial and ethnic minorities, women,veteransand persons with disabilities.
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** The annual US base salary range for this position is $130,000 to $165,000. This salary range may cover multiple career levels at HealthEdge. Final compensation will bedeterminedduring the interview process and is based on a combination of factors including, but not limited to,your skills, experience,qualificationsand education.
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  • New York, New York, United States

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