机器学习工程师
Machine Learning Engineer
Overview
HealthEdge® 为健康保险公司提供人工智能驱动的运营基础设施，确保在日益竞争的市场中保持持久的财务优势。我们正经历强劲的市场增长，越来越多的健康计划选择 HealthEdge 来现代化其运营并更有效地竞争。随着我们的发展，我们正在投资推动增长的人才，这正是加入我们并塑造医疗技术未来的关键时刻。了解更多请访问 HealthEdge.com。
作为机器学习工程师，你将设计、构建和部署解决 HealthEdge 工程、产品和交付组织中实际问题的 AI 代理和自动化工具，包括面向客户的操作。你将直接与工程、产品和医疗专业人员等利益相关者合作，了解他们的工作流程，识别高价值的机会，并端到端地交付可行的解决方案。你在机器学习和代理 AI 方面的不断增长的专业知识将直接影响 HealthEdge 如何构建软件、为客户交付以及规模化运营。
关键职责
- AI 平台开发：开发并实现 AI 代理和自动化工具，加速内部工程工作流程和面向客户的交付流程，负责从问题发现、原型设计、评估、强化到生产部署的全生命周期。为 AI 平台贡献可重用的库、提示模板、工具使用模式和评估框架。
- 集成：与软件工程师合作，将 AI 集成到公司现有的软件基础设施中，支持无缝的功能和性能。
- 协作：直接与产品经理、实施顾问、工程师和业务运营团队合作，识别痛点、规划解决方案，并迭代以实现可衡量的结果。你是 AI 能力与业务需求之间的桥梁。
- 研究与学习：跟进大语言模型、代理框架、机器学习和医疗技术的最新进展，并将新知识应用到团队中的创新想法中。
- 性能与可靠性：优化 AI 系统的准确性、延迟、成本和安全性，特别关注医疗领域的人机协同设计和适当的防护机制。
- 文档：维护模型开发过程的清晰文档，方法
查看英文原文
Overview
HealthEdge® offers AI-powered operational infrastructure for health insurance companies, guaranteeing an enduring financial edge in an increasingly competitive market. We're experiencing strong market momentum, with a growing number of health plans choosing HealthEdge to modernize their operations and compete more effectively. As we expand, we're investing in the people who power that growth, making this a pivotal moment to join us and shape the future of healthcare technology. Learn more at HealthEdge.com.
As a Machine Learning Engineer, you will design, build, and ship AI agents and automation that solve real problems across HealthEdge's engineering, product, and delivery organizations, including customer-facing operations. You'll partner directly with stakeholders across Engineering, Product, and healthcare professionals to understand their workflows, identify high-leverage opportunities, and deliver working solutions end-to-end. Your growing expertise in machine learning and agentic AI will have a direct impact on how HealthEdge builds software, delivers for customers, and operates at scale.
Key Responsibilities
- AI Platform Development: 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, and evaluation scaffolding 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 to identify pain 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 in LLMs, agentic frameworks, machine learning, and healthcare technology, and apply new knowledge to contribute ideas for innovation within the team.
- Performance and Reliability: Optimize AI systems for accuracy, latency, cost, and safety, with particular attention to human-in-the-loop design and guardrails appropriate for healthcare.
- Documentation: Maintain clear documentation of model development processes, methodologies, and results to ensure transparency and reproducibility.
Required Qualifications
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Education: 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.
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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.
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Technical Skills: Strong proficiency in 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 comfort operating across the full development lifecycle.
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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 not required.
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Analytical Skills: Strong problem-solving skills and the ability to work with complex datasets to derive actionable insights.
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Communication: Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders.
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Builder Mindset: Energized by turning ideas into working solutions. You balance speed with quality, thrive in ambiguous problem spaces, and pick up new domains quickly.
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Team Player: Ability to work collaboratively in a cross-functional team environment, accept feedback, and contribute to the success of the team.
Geographic Responsibility: Remote, US
Type of Employment: Full-time, permanent
FLSA Classification (USA Only): Exempt
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 employee is occasionally required to move 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 periods of 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 skills required. HealthEdge reserves the right to modify, add, or remove duties and to assign other duties as 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 may be required to go through a pre-employment criminal background check.
HealthEdge is 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, veterans and persons with disabilities.
**The annual US base salary range for this position is $X to $135,000. This salary range may cover multiple career levels at HealthEdge. Final compensation will be determined during the interview process and is based on a combination of factors including, but not limited to, your skills, experience, qualifications and education.
Originally posted on Himalayas