Staff ML Engineer

machinifyinc; United States; Remote; USD 180,000 - 250,000; Full time

Benefits offered by this job

Equity

401(k) match

Tuition reimbursement

Unlimited paid time off

Job summary

machinifyinc is seeking a senior engineer to lead the development of production AI systems for automated healthcare document and claims review. You will shape technical direction, build scalable pipelines for processing vast volumes of medical records and benefits documents, and drive reliable, explainable AI workflows.

You will collaborate with data science, data engineering, and product teams, mentor engineers, and reduce technical debt while improving system reliability and observability

Qualifications

• Proven software engineering excellence with enterprise AI workflows.
• Strong backend skills in Java and Python; Scala a plus.
• Experience designing distributed systems and large-scale data pipelines.
• Record of deploying AI/ML approaches with emphasis on reliability and explainability.
• Familiarity with monitoring/observability tools (Prometheus, Grafana).
• Solid CS fundamentals and rigorous testing/code-quality practices.

Responsibilities

• Lead production AI systems for large-scale healthcare document review and claims processing.
• Design agent-based workflows for high-volume review and validation of claims.
• Improve the AI workflow ecosystem including prompt engineering and retrieval-augmented generation.
• Collaborate with data science, data engineering, and product teams to ship end-to-end systems.
• Reduce technical debt and improve scalability, reliability, and observability.
• Mentor engineers and promote production-grade AI development practices.

Skills

Java

Python

Scala

Distributed systems

Data pipelines

AI/ML deployment

Prometheus

Grafana

Testing

Education

Bachelor's degree in CS or related field

Tools

Spark

Flink

Kafka

Job description

Role overview

Lead the engineering of production AI systems that automate large-scale healthcare document and claims review. The work spans document processing, multimodal language-model workflows, reliability, and explainability, with the goal of supporting accurate payment-integrity decisions. The role also sets technical direction and helps other engineers build dependable AI systems.

Responsibilities

• Build and scale pipelines for processing large annual volumes of medical records, claims, and benefits documents.
• Design agent-based workflows to review and validate healthcare claims at high volume.
• Improve the AI workflow ecosystem, including prompt development, multimodal text and vision models, context extraction, retrieval-augmented generation, orchestration, monitoring, logging, and output explanations.
• Work with data science, data engineering, and product teams to turn requirements into end-to-end production systems.
• Reduce technical debt and strengthen system scalability, reliability, and operational visibility.
• Mentor engineers and guide practices for production-grade AI development.

Requirements

• Deep software engineering experience, including meaningful work building enterprise AI-driven workflows or agentic systems.
• Strong Java and Python skills; Scala experience is a plus.
• Experience designing distributed systems and large-scale data pipelines, ideally involving unstructured documents or healthcare records.
• A record of deploying AI/ML approaches such as prompt engineering, retrieval-augmented generation, workflow automation, or agents, with attention to reliability and explainability.
• Familiarity with monitoring and observability tools such as Prometheus or Grafana, and strong computer science fundamentals in data structures, asynchronous programming, and system design.
• Experience shipping enterprise AI/ML systems, with sound testing and code-quality practices; a relevant degree or equivalent practical experience.

Nice to have

Experience with big-data and distributed-processing tools such as Spark, Flink, Kafka, Airflow, or Ray; experience automating work in healthcare, financial technology, or another regulated field is also relevant.

Benefits and work setup

The position is digital-first and open to remote work anywhere in the United States.

• medical, dental, and vision coverage
• FSA/HSA options
• tuition reimbursement
• a 401(k) match
• equity
• wellness benefits
• and unlimited paid time off

The posting gives a base-pay range of $180,000–$250,000 or more, depending on assessed level and candidate qualifications.