<h3>Job Description</h3>
Job Description
Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude.
We’re seeking a Sr. Frontend Software Engineer to join our team!&nbsp;
The ideal candidate has a range of skills across web application programming. You have interest in developing user-centric and performant UI platforms. A primary contributor to frontend related development such as new feature programming and architecting patterns where specific backend services are designed to optimally serve a product's user interface. You excel at transforming complex requirements into functional, scalable, and responsive interfaces that deliver optimal user experiences.&nbsp;
Every day offers a chance to work on something intellectually stimulating! We've built a team of strong programmers and problem solvers! You’ll join a group of peers who are committed to engineering excellence, highly motivated to solve hard problems together, autonomous in their ability to perform work, and highly impactful towards the success of the business. 
Does this sound like the right opportunity to explore?... Lets connect!
What you’ll do:
<ul>
<li>
Develop applications &amp; contribute towards the UI and potentially middle-layer development
</li>
<li>
Own projects aligned with our product development strategy
</li>
<li>
Design and implement solutions to achieve a delightful and intuitive user experience
</li>
<li>
Contribute to the underlying platform to ensure it is extensible, scalable, and secure
</li>
<li>
Collaborate with team and external stakeholders such as Product Managers, Backend Engineers, UX team, &amp; our customers
</li>
</ul>
What you’ll bring:
<ul>
<li>
6+ years of production application development experience&nbsp;
</li>
<li>
Proficiency in modern Javascript, React, CSS/HTML and familiarity with TypeScript&nbsp;
</li>
<li>
Experience reading and understanding complex enterprise-grade code, quickly contribute to it, and suggesting improvements
</li>
<li>
Excellent debugging skills (using dev tools source code, emphasis in identifying root cause, and proactively preventing future bugs)
</li>
<li>
Proficiency integrating web API’s or micro-services to UI in partnership with backend developers
</li>
<li>
Experience implementing best practices of incorporating AI into user flows
</li>
<li>
Familiarity with standard development tools and processes like Github Workflows, Git, JIRA
</li>
<li>
Experience creating and building systems in production with over 10k+ users
</li>
<li>
Comfortable with ambiguity and taking the initiative
</li>
<li>
BS or MS in Computer science (or equivalent experience)&nbsp;
</li>
<li>
Excitement in making an impact in rewiring US healthcare!
</li>
</ul>
What we offer:
<ul>
<li>
Work from anywhere in the US! Machinify is digital-first.
</li>
<li>
Full Medical/Dental/Vision for employees &amp; their families w/ 100% premium coverage options!
</li>
<li>
Flexible and trusting environment where you’ll feel empowered to do your best work
</li>
<li>
Unlimited PTO, recharge days and one no-meetings day a week
</li>
<li>
Competitive salary, equity, 401(k) sponsorship
</li>
<li>
Generous Learning and Development Reimbursement policy
</li>
</ul>
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. The base salary range for this role is $180k to $225k. However, we are hiring for different levels, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks to meet the needs of each individual.
Equal Employment Opportunity at Machinify
Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.&nbsp;
See our Candidate Privacy Notice at: <a href="https://www.machinify.com/candidate-privacy-notice/" target="_blank">https://www.machinify.com/candidate-privacy-notice/</a>

Sr. Software Engineer - Frontend (Remote)

<h3>Job Description</h3>
Job Description
Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude.
 What You'll Do
<ul>
<li>
Design and implement feature stores to power multiple ML models, balancing common reusable features with client-specific extensions.
</li>
<li>
Build and own end-to-end ML pipelines for training, versioning, and deploying models as containerized services in production.
</li>
<li>
Establish and maintain CI/CD and continuous training pipelines that ensure fast, reliable, and reproducible ML deployments.
</li>
<li>
Collaborate closely with Data Science and Data Engineering teams to accelerate experimentation cycles and translate models into robust production services.
</li>
<li>
Implement monitoring systems to track model performance, detect data/concept drift, and trigger retraining workflows when needed.
</li>
<li>
Drive engineering best practices across the ML lifecycle, including reproducibility, observability, and scalability of ML systems.
</li>
<li>
Provide technical leadership on architecture and tooling decisions for MLOps and production ML systems. 
</li>
</ul>
What You'll Bring
<ul>
<li>
Expertise in machine learning engineering and MLOps, with hands-on experience building production-grade ML systems.
</li>
<li>
Strong programming skills in Python (Java/Scala a plus).
</li>
<li>
Experience with feature stores (e.g., Sagemaker, Feast, Hopsworks, Tecton, or equivalent).
</li>
<li>
Familiarity with ML lifecycle tools such as MLflow, Kubeflow, DVC or equivalent for experiment tracking and model versioning.
</li>
<li>
Experience deploying ML models via Docker + Kubernetes, and serving them with frameworks such as KServe, Seldon, or BentoML.
</li>
<li>
Strong background in workflow orchestration (Airflow, Prefect, Kubeflow Pipelines) and CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, etc.).
</li>
<li>
Familiarity with cloud ML platforms (AWS SageMaker, GCP Vertex AI, or Azure ML).
</li>
<li>
Knowledge of monitoring and observability tools (Prometheus, Grafana or similar) and passion for tracking metrics.
</li>
<li>
Strong computer science foundations (data structures, distributed systems, asynchronous programming).
</li>
<li>
Solid collaboration skills to work effectively with Data Science, Data Engineering, and cross-functional stakeholders. 
</li>
</ul>
Technical Requirements
<ul>
<li>
Bachelor’s or Master’s in Computer Science, Engineering, or related field.
</li>
<li>
6+ years of experience building and shipping production ML solutions end-to-end.
</li>
<li>
Demonstrated experience owning ML pipelines and deployments in production environments.
</li>
<li>
Strong testing and code quality discipline, with experience contributing to and improving enterprise-grade systems. 
</li>
</ul>
Equal Employment Opportunity at Machinify
Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.&nbsp;
See our Candidate Privacy Notice at: <a href="https://www.machinify.com/candidate-privacy-notice/" target="_blank">https://www.machinify.com/candidate-privacy-notice/</a>

ML Engineer | Lead

<h3>Job Description</h3>
Job Description
Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude.
Machinify builds machine learning models for some of the largest health plans in the country to identify nearly $1B in erroneous healthcare payments. Our customers receive tens of millions of claims each year, many of which are billed with mistakes or fraud. Our production models detect and stop those errors on a daily basis, resulting in measurable healthcare savings that significantly outperform industry standards. Machinify has already had a huge impact as a small company, and we are growing quickly!
We are looking for a Data Scientist for our "Pay" team (claims payments product) to advance our models further. In addition to building best-in-class models, this person will create technical frameworks and tools to help the team achieve greater scale and improved business outcomes.
What You’ll Do:
<ul>
<li>
Master understanding of various claims payment policies and healthcare concepts.
</li>
</ul>
<ul>
<li>
Build and improve the models by thoughtfully curating data and creating features.
</li>
<li>
Precisely measure and improve model performance against real-world outcomes. Make operational recommendations to the customer to optimize model results.&nbsp;
</li>
<li>
Interpret and refine large-scale data created by complex business workflows.
</li>
<li>
Advance the team’s capabilities by improving pipelines, infrastructure, and tools. 
</li>
</ul>
What You’ll Bring:
<ul>
<li>
Several years of experience solving real-world business problems with data and ML modeling
</li>
<li>
Proven ability to make team-level contributions and develop frameworks and tools to improve the work of many
</li>
<li>
Able to build a high-level, strategic work plan while keeping attention to detail
</li>
<li>
Experience precisely measuring and optimizing the business impact of your work
</li>
<li>
Experience handling large-scale, complex data which may not be clean or well-defined
</li>
<li>
Experience writing production-quality code (i.e. building pipelines, productionizing models) and overcoming practical challenges to deploy a model
</li>
<li>
Deep curiosity about healthcare
</li>
</ul>
Equal Employment Opportunity at Machinify
Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.&nbsp;
See our Candidate Privacy Notice at: <a href="https://www.machinify.com/candidate-privacy-notice/" target="_blank">https://www.machinify.com/candidate-privacy-notice/</a>

Data Scientist | Pay

<h3>Job Description</h3>
Job Description
Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude.
We're looking for a skilled Staff Backend Engineer to join our growing platform engineering team. This position is critical to Machinify’s AI platform expansion initiatives. In this role, you will leverage your deep programming expertise to design and build scalable, reliable backend systems. The ideal candidate has strong experience in application system architecture and design, as well as proven leadership skills, whether in serving as a tech lead or guiding complex projects.
Our engineering team features software developers and data engineers who enjoy being at the cutting edge. They are responsible for writing code that has a significant impact on our customers and future product lines. Our teams are collaborative, high-performing, curious, aligned to our product goals, and have a strong impact on the success of the business. We build high-performance ML and AI products that are transforming the landscape of healthcare!
What You’ll Do:
<ul>
<li>
Main contributor to the expansion of our platform which is used as the foundation for web services, data services and Machinify’s AI systems
</li>
<li>
Develop and maintain scalable and distributed systems to keep them extensible, scalable, and secure
</li>
<li>
Design, develop, and maintain robust Scala and Java based systems
</li>
<li>
Implement and manage distributed PostgreSQL database systems to ensure optimal performance and data integrity
</li>
<li>
Collaborate cross-functionally with other teams that define, design, and ship new features, with the understanding of how our systems must change to support AI platform expansion for future customer-focused deliverables
</li>
<li>
Design and implement complex frameworks for applying machine learning techniques to large data volumes
</li>
<li>
Deliver reliable and good-performing software
</li>
<li>
Troubleshoot and resolve software and database issues in a timely manner.
</li>
<li>
Participate in code reviews to maintain high code quality.
</li>
<li>
Continuously explore new technologies and integrate them into projects to improve system performance and scalability.
</li>
</ul>
What You Bring:
<ul>
<li>
10+ years of strong software development experience including depth of knowledge in distributed systems, microservices architecture, and database technologies.
</li>
<li>
Proficiency in Java or Scala, with a strong understanding of object-oriented and functional programming principles and performance tuning
</li>
<li>
Experience with Java frameworks such as Spring or Java EE.
</li>
<li>
Skill in reading the source for complex software systems, understanding them, and improving them
</li>
<li>
Experience with SQL, database schema design, and relational database development/administration (PostgreSQL preferred)
</li>
<li>
Knowledge of distributed computing frameworks (e.g. Apache Spark, Apache Kafka,).
</li>
<li>
A strong CS foundation in data structures and asynchronous programming
</li>
<li>
BS or MS in Computer Science (or equivalent experience)
</li>
</ul>
Preferred Qualifications:
<ul>
<li>
Additional experience developing Spark layer or big data processing workflows 
</li>
<li>
System programming experience with network stack and file-system
</li>
<li>
Familiarity with Kubernetes for container orchestration
</li>
<li>
Familiarity with cloud platforms (e.g., AWS)
</li>
<li>
Experience with CI/CD tools and practices
</li>
<li>
Proficiency with version control systems (e.g., Git)
</li>
</ul>
Soft Skills:
<ul>
<li>
Strong critical thinking problem-solving skills and attention to detail.
</li>
<li>
Comfort when navigating ambiguity
</li>
<li>
Excellent communication and teamwork abilities
</li>
<li>
Ability to work independently and manage time effectively
</li>
<li>
Proactive attitude and a joy for learning new technologies
</li>
</ul>
What We Offer:
<ul>
<li>
Work from anywhere in the US! Machinify is digital-first.
</li>
<li>
Flexible and trusting environment where you’ll feel empowered to do your best work
</li>
<li>
Unlimited PTO
</li>
<li>
Full Medical/Dental/Vision for employees &amp; their families w/ 100% premium coverage options!
</li>
<li>
Competitive salary, equity, 401(k) sponsorship
</li>
<li>
Learning and Development reimbursement policy
</li>
</ul>
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. The base salary range for this role is $210k to $245k.&nbsp; 
We are hiring for different levels, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks.
Equal Employment Opportunity at Machinify
Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.&nbsp;
See our Candidate Privacy Notice at: <a href="https://www.machinify.com/candidate-privacy-notice/" target="_blank">https://www.machinify.com/candidate-privacy-notice/</a>

Staff Software Engineer, Backend | Platform Expansion (Remote)

<h3>Job Description</h3>
Job Description
Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude.
We’re seeking a Staff Software Engineer - UI to join our team!&nbsp;
The ideal candidate has a range of skills across web application programming. You have interest in developing user-centric and performant UI platforms. A primary contributor to frontend related development such as new feature programming and architecting patterns where specific backend services are designed to optimally serve a product's user interface. You excel at transforming complex requirements into functional, scalable, and responsive interfaces that deliver optimal user experiences.&nbsp;
Every day offers a chance to work on something intellectually stimulating! We've built a team of strong programmers and problem solvers! You’ll join a group of peers who are committed to engineering excellence, highly motivated to solve hard problems together, autonomous in their ability to perform work, and highly impactful towards the success of the business. 
Does this sound like the right opportunity to explore?... Lets connect!
What you’ll do:
<ul>
<li>
Develop applications &amp; contribute towards the UI and potentially middle-layer development
</li>
<li>
Own projects aligned with our product development strategy
</li>
<li>
Design and implement solutions to achieve a delightful and intuitive user experience
</li>
<li>
Contribute to the underlying platform to ensure it is extensible, scalable, and secure
</li>
<li>
Collaborate with team and external stakeholders such as Product Managers, Backend Engineers, UX team, &amp; our customers
</li>
</ul>
What you’ll bring:
<ul>
<li>
6-10+ years of production application development experience&nbsp;
</li>
<li>
Proficiency in modern Javascript, React, CSS/HTML and familiarity with TypeScript&nbsp;
</li>
<li>
Experience reading and understanding complex enterprise-grade code, quickly contribute to it, and suggesting improvements
</li>
<li>
Excellent debugging skills (using dev tools source code, emphasis in identifying root cause, and proactively preventing future bugs)
</li>
<li>
Proficiency integrating web API’s or micro-services to UI in partnership with backend developers
</li>
<li>
Experience implementing best practices of incorporating AI into user flows
</li>
<li>
Familiarity with standard development tools and processes like Github Workflows, Git, JIRA
</li>
<li>
Experience creating and building systems in production with over 10k+ users
</li>
<li>
Comfortable with ambiguity and taking the initiative
</li>
<li>
BS or MS in Computer science (or equivalent experience)&nbsp;
</li>
<li>
Excitement in making an impact in rewiring US healthcare!
</li>
</ul>
What we offer:
<ul>
<li>
Work from anywhere in the US! Machinify is digital-first.
</li>
<li>
Full Medical/Dental/Vision for employees &amp; their families w/ 100% premium coverage options!
</li>
<li>
Flexible and trusting environment where you’ll feel empowered to do your best work
</li>
<li>
Unlimited PTO, recharge days and one no-meetings day a week
</li>
<li>
Competitive salary, equity, 401(k) sponsorship
</li>
<li>
Generous Learning and Development Reimbursement policy
</li>
</ul>
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. The base salary range for this role is $180k to $230k. However, we are hiring for different levels, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks to meet the needs of each individual.
Equal Employment Opportunity at Machinify
Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.&nbsp;
See our Candidate Privacy Notice at: <a href="https://www.machinify.com/candidate-privacy-notice/" target="_blank">https://www.machinify.com/candidate-privacy-notice/</a>

Staff Software Engineer - UI (Remote)

<h3>Job Description</h3>
Job Description
Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude.
We are seeking a talented Senior Product Designer to join our growing team. This role will be part of a cross-functional team focused on the development of world-class user experiences for healthcare decisions.
What You’ll do:
<ul>
<li>
Design Thinking: Leverage design thinking methodologies to address complex challenges and develop innovative solutions that align with business objectives.
</li>
<li>
User Research: Conduct, analyze, and apply UX research and data insights to deeply understand user needs and behaviors.
</li>
<li>
Ideation: Collaborate with domain experts, product managers, and engineers to brainstorm and develop creative solutions to meet user needs.
</li>
<li>
UX Design: Create wireframes, mockups, and prototypes for new features and improvements, ensuring a smooth and intuitive user experience.
</li>
<li>
Documentation: Develop comprehensive design specifications and documentation to guide development and ensure proper implementation of designs.
</li>
<li>
Development Support: Collaborate with development teams to ensure accurate implementation of design specifications and seamless integration with existing frameworks.
</li>
<li>
Design Systems: Contribute to and maintain design systems and style guides to ensure design consistency across products.
</li>
</ul>
What You’ll Bring:
<ul>
<li>
Experience: Over 6 years of UX/UI experience working in fast-paced environments, with a solid portfolio of real-world projects that highlight your design process and results.
</li>
<li>
Expertise: Advanced proficiency with Figma, our preferred design and prototyping tool
</li>
<li>
Knowledge: Deep understanding of UX principles, design thinking, interaction design, and usability best practices. Experience with a variety of UX deliverables (wireframes, user flows, mockups, prototypes, etc.), and a keen sense of what tool(s) for the specific problem.
</li>
<li>
Self-Learning: Enthusiasm for learning new domains and a strong ability to grasp complex business requirements.
</li>
<li>
Communication: Excellent communication and presentation skills, with the ability to clearly articulate design decisions and rationale.
</li>
<li>
Collaboration: Proven ability to work effectively in cross-functional teams and manage multiple projects simultaneously.
</li>
<li>
Problem-Solving: Strong analytical skills, with a keen eye for detail and the ability to solve complex design challenges.
</li>
<li>
Adaptability: Capable of adjusting to shifting priorities and effectively incorporating feedback into design iterations.
</li>
</ul>
Bonus Points:
Design Systems: Experience with building design systems and platform design work.
Equal Employment Opportunity at Machinify
Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.&nbsp;
See our Candidate Privacy Notice at: <a href="https://www.machinify.com/candidate-privacy-notice/" target="_blank">https://www.machinify.com/candidate-privacy-notice/</a>

Senior Product Designer

<h3>Job Description</h3>
Job Description
Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude.
We’re seeking a hands-on, technically deep Senior Engineer Manager to lead our Audit Product software team! Our Audit team develops end-to-end AI system services for automated case selection and review for complex audits. Machinify Audit creates autonomous selections by learning the "language of medical coding" through the development and training of LLM’s.
The ideal candidate has a range of skills across backend services and tools, technical leadership and people leadership. You get excited by developing performant platforms and web applications for delivering customer impact. You challenge the team on using tools that scale velocity, including influencing automating testing and AI code generation.
Our engineering team features software developers and data engineers who enjoy being at the cutting edge. They are responsible for writing code that has a significant impact on our customers and future product lines. Our teams are collaborative, high-performing, curious, aligned to our product goals, and have a strong impact on the success of the business. We build high-performance ML and AI products that are transforming the landscape of healthcare!
Does this sound like the right opportunity to explore?... Lets connect!
What You’ll Do:
<ul>
<li>
Lead the development and production releases of robust, observable and intuitive solutions and workflows for healthcare Audit product lines.
</li>
<li>
Manage and grow a team of 5-6 developers who own the backend services for Machinify’s Audit product.
</li>
<li>
Develop plans and track production features for on-time quality releases.
</li>
<li>
Understand with data what slows your team down, and develop phased plans to reduce pain points and increase velocity.
</li>
<li>
Own projects aligned with our product development strategy
</li>
<li>
Influence the direction of the underlying platform to ensure it is extensible, scalable, and secure
</li>
<li>
Measure impact through metrics
</li>
<li>
Collaborate with team and external stakeholders such as Product Managers, Backend and Frontend Engineers, UX team, &amp; our customers
</li>
</ul>
What You'll Bring:
<ul>
<li>
3+ years of combined technical leadership and engineering management experience
</li>
<li>
8+ years of production application development, backend services experience, and developing API's/micro-services at scale.
</li>
<li>
Experience hiring, growing careers and managing performance for engineering teams and leads
</li>
<li>
Experience working along side data science or ML engineering teams
</li>
<li>
Experience leading cross functionally with product managers, other engineering teams, UI team, and customer account representatives.
</li>
<li>
Strong orientation towards building and utilizing lightweight mechanisms, including running retrospectives, operations reviews, and backlog scrubs.
</li>
<li>
Proficiency in one or more backend languages (Python, Rust, Rails, Java, Go)
</li>
<li>
BS or MS in Computer science (or equivalent experience)
</li>
<li>
Bonus points for experience thoughtfully integrating AI into user experiences or workflows
</li>
<li>
Comfortable with ambiguity and taking the initiative
</li>
<li>
Excitement to make an impact in rewiring US healthcare!
</li>
</ul>
What We Offer:
<ul>
<li>
Work from anywhere in the US! Machinify is digital-first.
</li>
<li>
Flexible and trusting environment where you’ll feel empowered to do your best work
</li>
<li>
Unlimited PTO
</li>
<li>
Full Medical/Dental/Vision for employees &amp; their families w/ 100% premium coverage options!
</li>
<li>
Competitive salary, equity, 401(k) sponsorship
</li>
<li>
Learning and Development reimbursement policy
</li>
</ul>
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. The base salary range is 240k +/- . We are hiring for different levels, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks.
Equal Employment Opportunity at Machinify
Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.&nbsp;
See our Candidate Privacy Notice at: <a href="https://www.machinify.com/candidate-privacy-notice/" target="_blank">https://www.machinify.com/candidate-privacy-notice/</a>

Sr. Engineer Manager - Audit Product (Remote)

<h3>Job Description</h3>
Job Description
Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude.
 We are seeking a Director of Data Science. This role will be responsible for the overall leadership and management of the data science team at Machinify, and requires a deep technical background, strong leadership skills, and the ability to drive innovation and excellence in a fast-paced environment. Reporting to the Chief Data Scientist, the Director of Data Science will collaborate closely with other leaders to align engineering efforts with the company's strategic goals.&nbsp;&nbsp;
What you will do:
<ul>
<li>
Provide direction and guidance to a team of Senior and Staff Data Scientists, enabling them to do their best work
</li>
<li>
Collaborate with the leadership team to define key technical and business metrics and objectives
</li>
<li>
Translate objectives into internal team priorities and assignments
</li>
<li>
Drive sprints and work with cross-functional stakeholders to appropriately prioritize various initiatives to improve customer metrics
</li>
<li>
Hire, mentor and develop team members
</li>
<li>
Foster a culture of innovation, collaboration, and continuous improvement
</li>
</ul>
<ul>
<li>
Communicate technical concepts and strategies to technical and non-technical stakeholders effectively
</li>
<li>
Own the success of various models on the field by continuously monitoring KPI’s and initiating projects to improve quality.&nbsp;&nbsp;
</li>
</ul>
What you bring:
<ul>
<li>
Degree in Computer Science, Engineering, or a related field
</li>
<li>
10+ years of data science experience, with at least 5 years in a leadership role, including a leadership role at a start-up. Proven track record of managing data teams and delivering complex, high-impact products from concept to deployment
</li>
<li>
Strong knowledge of data privacy regulations and best practices in data security
</li>
<li>
Exceptional team management abilities, with experience in building and leading high-performing teams
</li>
<li>
Ability to think strategically and execute methodically
</li>
<li>
Ability to drive change and inspire a distributed team
</li>
</ul>
<ul>
<li>
Strong problem-solving skills and a data-driven mindset
</li>
<li>
Ability to communicate effectively, collaborating with diverse groups to solve complex problems
</li>
<li>
You embrace challenges with optimism and a balanced, and bring a business-oriented approach to product development
</li>
<li>
You prioritize customer impact, ensuring your work significantly advances our product value
</li>
</ul>
What we offer:
<ul>
<li>
A flexible and trusting environment where you'll feel empowered to do your best work.
</li>
<li>
Work from anywhere in the US! Our team is distributed and most of us work from home.
</li>
<li>
Hardworking and supportive colleagues, and a leadership team that understands the importance of recruiting and retaining top talent.
</li>
<li>
Incredible medical, vision, and dental benefits for employees &amp; their families.
</li>
<li>
Competitive salary and equity, 401(k) sponsorship.
</li>
</ul>
Equal Employment Opportunity at Machinify
Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.&nbsp;
See our Candidate Privacy Notice at: <a href="https://www.machinify.com/candidate-privacy-notice/" target="_blank">https://www.machinify.com/candidate-privacy-notice/</a>

Director | Data Science

<h3>Job Description</h3>
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 60 health plans, including many of the top 20, and representing more than 160 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 Software 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: 
<ul>
<li>
Lead development of document processing pipelines capable of annually handling hundreds of millions of documents, including medical records, claims, and benefits data.
</li>
<li>
Design and implement agentic workflows that review and validate millions of healthcare claims per year, ensuring accuracy and payment integrity.
</li>
<li>
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.
</li>
<li>
Collaborate across teams (Data Science, Data Engineering, and Product) to deliver robust, end-to-end AI-powered systems that automate complex workflows.
</li>
<li>
Address critical infrastructure needs by tracking and reducing tech debt while strengthening system reliability and scalability.
</li>
<li>
Mentor and guide engineers on best practices in designing production-grade AI systems, helping set technical direction for the team. 
</li>
</ul>
What You’ll Bring
<ul>
<li>
6+ years of software engineering experience, including at least 2 years building agentic systems or AI-driven workflows in an enterprise setting.
</li>
<li>
Strong programming expertise in Java and Python, with additional experience in Scala a significant plus.
</li>
<li>
Experience designing and scaling large-scale, distributed systems and pipelines, ideally processing unstructured data such as documents or healthcare records.
</li>
<li>
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.
</li>
<li>
Knowledge of monitoring and observability tools (Prometheus, Grafana or similar) and passion for tracking metrics.
</li>
<li>
Strong CS fundamentals, including data structures, asynchronous programming, and system design.
</li>
<li>
Demonstrated success in reducing manual processes through automation, ideally in healthcare, fintech, or other regulated domains.
</li>
<li>
Collaborative mindset with experience working closely with data scientists and cross-functional teams to translate requirements into technical designs and production systems.
</li>
<li>
A passion for pushing the boundaries of AI to deliver better-than-human-level accuracy and efficiency at scale. 
</li>
</ul>
Technical Requirements
<ul>
<li>
Bachelor’s or Master’s degree in Computer Science or a related field (or equivalent practical experience).
</li>
<li>
Track record of building and shipping enterprise-grade AI/ML systems in production.
</li>
<li>
Strong testing and code quality discipline, with experience contributing to and improving enterprise-grade systems.
</li>
</ul>
 • Experience with big-data tools and distributed systems frameworks (e.g., Spark, Flink, Kafka, Airflow, Ray) is a strong plus. 
Equal Employment Opportunity at Machinify
Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.&nbsp;
See our Candidate Privacy Notice at: <a href="https://www.machinify.com/candidate-privacy-notice/" target="_blank">https://www.machinify.com/candidate-privacy-notice/</a>

Staff Software Engineer - GenAI & Agentic Workflows

<h3>Job Description</h3>
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 60 health plans, including many of the top 20, and representing more than 160 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.
 About the job
Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction, and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude.
We are seeking a Director of Analytics and Business Optimization. This role will be responsible for leading the design, execution, and scaling of the analytics function at Machinify. The initial focus will be on personally driving high-impact analyses that inform business optimization;and over time, building and leading a high-performing analytics team. This role requires a strong analytical background, deep business acumen, and the ability to translate data into actionable insights that guide operational and strategic decisions. Reporting to the Chief AI Officer, the Director will work closely with business, product, and engineering leaders to ensure analytics drives measurable improvements in customer and company outcomes. 
What You Will Do
<ul>
<li>
Lead critical business analyses: Perform end-to-end analytics across payment operations, chart review workflows, and customer performance metrics to identify optimization opportunities.
</li>
<li>
Design foundational data assets: Build and maintain the base data sets, aggregates, and pipelines required for robust reporting and insight generation.
</li>
<li>
Create business dashboards: Partner with engineering and product teams to deliver comprehensive reporting dashboards that provide leaders with real-time visibility into operational and financial performance.
</li>
<li>
Run simulations and financial models: Use historical data to design models that simulate the impact of business decisions—helping leadership understand trade-offs and predict outcomes of operational “knob-turning.”
</li>
<li>
Deliver ad hoc insights: Scope and execute analyses to answer urgent or strategic questions posed by executives and operational leaders.
</li>
<li>
Collaborate cross-functionally: Translate business problems into analytical approaches and communicate findings effectively to both technical and non-technical stakeholders.
</li>
<li>
Hire and scale a team: As the business grows, recruit, mentor, and manage a team of analysts to extend the reach and impact of the analytics function.
</li>
<li>
Drive continuous improvement: Establish best practices in analytics, promote data-driven decision-making, and foster a culture of accountability and innovation. 
</li>
</ul>
What You Bring
<ul>
<li>
Degree in a quantitative field (e.g., Statistics, Economics, Operations Research, Data Analytics, Engineering, or related discipline).
</li>
<li>
10+ years of analytics, business intelligence, or quantitative consulting experience, with at least 5 years in a leadership role, ideally including start-up or growth-stage company experience.
</li>
<li>
Technical proficiency in SQL/python and ability to interact with modern database systems to manipulate datasets
</li>
<li>
Proven track record of delivering high-impact analyses and driving measurable business improvements.
</li>
<li>
Experience designing and building core data sets, dashboards, and business intelligence infrastructure.
</li>
<li>
Strong financial modeling and simulation skills, with the ability to quantify the impact of strategic and operational changes.
</li>
<li>
Ability to communicate complex analytical findings clearly to executives and cross-functional partners.
</li>
<li>
Experience hiring, mentoring, and scaling high-performing analytics teams.
</li>
<li>
Comfort operating in a fast-paced, ambiguous environment and balancing short-term needs with long-term strategic priorities.
</li>
<li>
Optimism, resilience, and a collaborative spirit; you thrive on helping both your team and the business succeed.
</li>
</ul>
Equal Employment Opportunity at Machinify
Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.&nbsp;
See our Candidate Privacy Notice at: <a href="https://www.machinify.com/candidate-privacy-notice/" target="_blank">https://www.machinify.com/candidate-privacy-notice/</a>

66 machinify Jobs