Staff ML Engineer
- Pay
- $180,000 – $250,000 per year
- Location
- Remote (US)
- Job type
- Full-time
- Level
- Director
- Education
- Bachelor's degree
- Listed
- Yesterday
Skills & highlights for this role
- Java
- Python
- Large-scale distributed systems design
- Productionizing AI/ML systems
- LLM prompt engineering
- Retrieval-augmented generation (RAG)
- Workflow automation and agents
- Observability and reliability engineering
- Strong computer science fundamentals
- System design
- Asynchronous programming
- Cross-functional collaboration
Also useful
- Scala
- Prometheus
- Grafana
- Spark
- Flink
- Kafka
- Airflow
- Ray
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.
About Machinify
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.
Equal opportunity and legal notices
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law.
In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know.
From Machinify's careers page, first listed on Rolev.ai on November 10, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
What is the salary for the Staff ML Engineer role at Machinify?
The Staff ML Engineer posting at Machinify states compensation of $180,000 – $250,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Machinify's official career site.
Where is the Staff ML Engineer job at Machinify located?
Yes, this Staff ML Engineer opening at Machinify is listed as Remote (US). Always check Machinify's application page for specific state eligibility or relocation policies.
What qualifications are required for Staff ML Engineer at Machinify?
For the Staff ML Engineer role, Machinify highlights a bachelor's degree; experience with Java, Python, Large-scale distributed systems design, Productionizing AI/ML systems, LLM prompt engineering, Retrieval-augmented generation (RAG). Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Staff ML Engineer position at Machinify?
This listing links directly to Machinify's Greenhouse application page. You can apply directly on Machinify's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.