Staff ML Engineer
Remote · USFull-time$180–250K/yrSeen todaySeen in employer's feed today
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Job overview
Machinify seeks a Staff ML Engineer to lead development of production AI systems for payment integrity and audit solutions. The role includes building large-scale document pipelines and agentic workflows for healthcare claims, advancing multimodal LLM and RAG capabilities, and collaborating across data science, engineering, and product teams. The engineer will also strengthen reliability and scalability, reduce technical debt, and mentor engineers while setting technical direction.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Experience Required
None
Minimum Education Required
Bachelor's Degree
Compensation
$7.25 / hourly
Hours Per Week
40
Number Of Positions
1
Work Schedule and Shift Requirements
First (Day)
Job Description
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 experiencebuilding 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
Workfrom anywhere in the US!Machinifyis 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.
Equal Employment Opportunity at Machinify
We are committed to equal employment opportunity regardless of r ace, color, ancestry, r eligion, s ex, national origin, s exual 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. See our Candidate Privacy Notice at:https://www.machinify.com/candidate-privacy-notice/
Equal Opportunity Employer
Veteran Friendly Employer
Job Type
Full time
Benefits Offered
Not specified
Veteran Preference
No
Place of Work
On-site
Requisition ID
4146872009
How this job compares
Set against the 6,071 open Machine Learning Engineer jobs on Olive Jobs, counted November 11, 2026.
- Pay
- This posting$180–250K/yr
- Kentucky median$135–245K/yr36 salary ranges
- US median$149–245K/yr5,010 salary ranges
This range's midpoint, $215K, is 11% above the Kentucky median midpoint ($193K) — in the middle half of Machine Learning Engineer salary ranges in Kentucky.
- Openings
- Olive Jobs lists 40 open Machine Learning Engineer jobs in Kentucky and 6,071 across the US. 7% of them nationwide are listed as remote or flexible.
- Hiring the most in Kentucky
- EY6 open
- Indeed6 open
- General Motors3 open
- Experience
- Machine Learning Engineer postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 7 years (4,886 postings).
- Education
- 1,990 of the 6,071 open Machine Learning Engineer jobs (33%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 11, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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