Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.
What You’ll Do
As a Staff ML Engineer at Machinify, you will lead the design and development of large-scale systems that bring cutting-edge AI into production to transform Payment Integrity and Audit solutions. You will:
Lead development of document processing pipelines capable of annually handling hundreds of millions of documents, including medical records, claims, and benefits data.
Design and implement agentic workflows that review and validate millions of healthcare claims per year, ensuring accuracy and payment integrity.
Evolve our agentic ecosystem by driving innovation in prompt development lifecycle, optimal utilization of various flavors of multi-modal (text + vision) LLMs, context extraction, RAG, workflow orchestration frameworks, observability and logging, and explainability of LLM outputs.
Collaborate across teams (Data Science, Data Engineering, and Product) to deliver robust, end-to-end AI-powered systems that automate complex workflows.
Address critical infrastructure needs by tracking and reducing tech debt while strengthening system reliability and scalability.
Mentor and guide engineers on best practices in designing production-grade AI systems, helping set technical direction for the team.
What You’ll Bring
deep software engineering experience, with meaningful experience building agentic systems or AI-driven workflows in an enterprise setting.
Strong programming expertise in Java and Python, with additional experience in Scala a significant plus.
Experience designing and scaling large-scale, distributed systems and pipelines, ideally processing unstructured data such as documents or healthcare records.
Proven ability to productionize AI/ML techniques (e.g., LLM prompt engineering, RAG, workflow automation, and agents) with a focus on reliability, observability, and explainability.
Knowledge of monitoring and observability tools (Prometheus, Grafana or similar) and passion for tracking metrics.
Strong CS fundamentals, including data structures, asynchronous programming, and system design.
Demonstrated success in reducing manual processes through automation, ideally in healthcare, fintech, or other regulated domains.
Collaborative mindset with experience working closely with data scientists and cross-functional teams to translate requirements into technical designs and production systems.
A passion for pushing the boundaries of AI to deliver better-than-human-level accuracy and efficiency at scale.
Technical Requirements
Bachelor’s or Master’s degree in Computer Science or a related field (or equivalent practical experience).
Track record of building and shipping enterprise-grade AI/ML systems in production.
Strong testing and code quality discipline, with experience contributing to and improving enterprise-grade systems.
• Experience with big-data tools and distributed systems frameworks (e.g., Spark, Flink, Kafka, Airflow, Ray) is a strong plus.
What We Offer
- Work from anywhere in the US! Machinify is digital-first.
- Top Medical/Dental/Vision offerings
- FSA/HSA
- Tuition reimbursement
- Competitive salary, 401(k) with company match
- Unlimited PTO
- Additional health and wellness benefits and perks
- Flexible and trusting environment where you’ll feel empowered to do your best work
The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. We are hiring for different levels and the base salary can range from $180k-$250k+ based on your assessed level. Compensation also includes meaningful equity, healthcare, unlimited PTO, and more.
Skills Required
- Bachelor's or Master's degree in Computer Science or a related field, or equivalent practical experience
- Deep software engineering experience building agentic systems or AI-driven workflows in an enterprise setting
- Strong programming expertise in Java and Python
- Experience designing and scaling large-scale distributed systems and pipelines
- Experience productionizing AI/ML techniques, including LLM prompt engineering, RAG, workflow automation, and agents
- Knowledge of monitoring and observability tools such as Prometheus and Grafana
- Strong computer science fundamentals, including data structures, asynchronous programming, and system design
- Track record of building and shipping enterprise-grade AI/ML systems in production
- Strong testing and code quality discipline with experience improving enterprise-grade systems
- Experience working with data scientists and cross-functional teams to translate requirements into technical designs and production systems
- Experience with unstructured data such as documents or healthcare records
- Experience in Scala
- Experience with big-data tools and distributed systems frameworks such as Spark, Flink, Kafka, Airflow, or Ray
- Experience reducing manual processes through automation in healthcare, fintech, or other regulated domains
Machinify Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Machinify and has not been reviewed or approved by Machinify.
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Healthcare Strength — Health coverage is described as employer-paid for employees with additional support for dependents, alongside dental, vision, mental health, and FSA/HSA options. Listings consistently depict comprehensive medical benefits.
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Leave & Time Off Breadth — Policies include unlimited PTO, paid holidays and sick time, and a weekly no‑meetings day. These elements indicate broad time‑off access alongside flexible scheduling.
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Parental & Family Support — Inclusive paid parental leave is stated at 14 weeks for birth and non‑birth parents. Family benefits are prominently featured across public materials.
Machinify Insights
What We Do
Machinify is an AI start-up in the Healthcare space. Our software platform leverages the latest advances in machine learning, large language models, data analytics, and cloud processing to solve previously intractable problems in the healthcare industry impacting millions of lives.
Why Work With Us
We are a heavily cross-functional, collaborative diverse team working together to solve big problems that matter. If you are looking for an exciting environment where you'll be challenged to do the best work of your career, consider joining us!
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