<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 Analyst Lead - Strategic Product Growth to join our team!
Our ideal candidate brings a strong track record of driving business transformation through analytics, process innovation, and AI/ML technologies. In this critical role, you will partner with senior leadership to shape our product roadmap and operational strategies, delivering insights that directly influence executive decisions. Harness your experience in business consulting and healthcare financial operations to help us revolutionize payer-provider dynamics, streamline billing processes, and unlock new value through cutting-edge AI/ML solutions—including advanced LLMs. Drive meaningful, real-world impact and be the change agent pushing the boundaries of data-driven healthcare transformation!
Does this sound like the right opportunity to explore?... Lets connect!
What You'll Do:
<ul>
<li>
Serve as a strategic business partner to senior and executive leadership, delivering high-impact analysis that shapes the future of AI- and ML-driven agenda
</li>
<li>
Lead complex business assessments to identify opportunities where automation, AI, and advanced analytics can transform healthcare billing processes and outcomes
</li>
<li>
Define, track, and own key performance indicators (KPIs) for major clients, product lines, and operational initiatives.
</li>
<li>
Continuously monitor performance against goals, identify risks or variances, and propose data-driven solutions that align with our mission to modernize healthcare billing
</li>
<li>
Design and advocate for business process changes, technology enhancements, and AI/ML-enabled strategies that drive operational efficiency and improved recovery
</li>
<li>
Partner closely with Product, Data Science, Machine Learning, Engineering, and Operations teams to translate business needs into analytics-ready solutions and scalable infrastructure
</li>
<li>
Influence the product roadmap to ensure alignment between AI/ML capabilities and real-world billing challenges faced by healthcare providers and payers
</li>
<li>
Act as a thought leader on applying analytics, automation, and AI to healthcare revenue cycle management, helping position the company as an innovator in the space
</li>
</ul>
What You Bring:
<ul>
<li>
8-10 years of mixed experience in product and business analysis, business consulting, or strategic analytics roles, with deep expertise in healthcare, financial services, or business consulting
</li>
<li>
Demonstrated success in driving analytics- and technology-enabled change in healthcare, with significant experience working on complex, cross-functional initiatives at scale
</li>
<li>
Ability to translate ambiguous business challenges into structured analyses and actionable recommendations that leverage data, AI, and automation.
</li>
<li>
Exceptional communication, storytelling, and stakeholder management skills, with a track record of influencing executive decision-making.
</li>
<li>
Proficiency in SQL and familiarity with working alongside Data Science and Machine Learning teams (experience with BI tools or Python is a plus).
</li>
<li>
A strategic thinker and hands-on operator who thrives in fast-moving startup environments and is passionate about transforming healthcare through technology.
</li>
<li>
Entrepreneurial spirit, intellectual curiosity, and a relentless focus on delivering business value through innovation
</li>
<li>
Preferable: Strong understanding of healthcare billing workflows, claim adjudication, and provider-payer dynamics, ideally within an environment focused on technology innovation.
</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 target base salary range for this role is $170k-$200k
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>

Analyst Lead | Business Transformation (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 hands on, technically deep Director of Engineering to lead our Pay Product software team! 
You will manage and build a team of server engineers, mentor to excellence, and establish best practices to deliver quality software on time. You will also work closely with Data Scientists who build “sentinels” for discovering fraud and other claims payment anomalies, and build quality tools that enable them and other healthcare subject matter experts to create value, lower health care costs and enable organizational velocity.
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 for delivering customer impact. You have experience in mentoring developers through career development and performance growth opportunities. You are structured in managing deliverables and dependencies through cross-functional communications and project management. You like rolling up your sleeves and being hands on, driving architectural best practices, engineering operations best practices, and staying in touch with the everyday challenges of your team. You challenge the team on using tools that scale velocity, including influencing automating testing and AI code generation.
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 claims Pay product lines.
</li>
<li>
Manage and grow a team of 7+ developers who own the backend services and tools for Machinify’s Pay 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 Engineers, UX team, &amp; our customers
</li>
</ul>
What You'll Bring:
<ul>
<li>
5+ years of combined technical leadership and engineering management experience
</li>
<li>
8+ years of production application development and backend server experience, and developing 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 250k +/- . 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>

Director of Engineering - Pay 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.
 About the Opportunity
Join our Data Engineering team as a Sr. Data Analyst and help transform complex healthcare claims data into powerful insights that shape business strategy, drive clinical decisions, and support ML and analytics initiatives. You’ll architect data mappings, ensure data integrity, and serve as the go-to expert on claims data—bridging the gap between raw data and actionable outcomes.
What You’ll Do
<ul>
<li>
Design and maintain robust data transformations and mappings to convert raw medical claims into standardized canonical models.
</li>
<li>
Perform detailed data quality audits to detect, troubleshoot, and resolve issues impacting accuracy and completeness.
</li>
<li>
Write and optimize Spark SQL queries to validate data pipelines and support ongoing analytics.
</li>
<li>
Document data transformation logic and lineage to ensure transparency and reusability.
</li>
<li>
Collaborate cross-functionally with business stakeholders to translate data needs into technical specs.
</li>
<li>
Support onboarding of new client data feeds, ensuring smooth integration with minimal disruption.
</li>
<li>
Partner with data engineers to build and scale data pipelines, improving performance and reliability.
</li>
<li>
Act as a subject matter expert for healthcare claims data—advising on risk, trends, and business impact.
</li>
<li>
Work closely with data scientists to enable advanced analytics, ML models, and reporting use cases.
</li>
<li>
Troubleshoot ETL workflows and performance issues, driving continuous improvement in data architecture.
</li>
</ul>
What You’ll Bring
<ul>
<li>
Bachelor’s degree in Business, Computer Science, Health Informatics, or a related field.
</li>
<li>
3+ years of experience as a data analyst or business analyst working with large datasets.
</li>
<li>
2+ years of hands-on experience with healthcare claims data (e.g., 837 EDI, medical billing, encounter data).
</li>
<li>
Advanced proficiency in SQL and familiarity working with Spark or similar big data framework will be bonus.
</li>
<li>
Solid understanding of data modeling concepts and best practices for analytics.
</li>
<li>
Proven problem-solving skills and attention to detail in complex data environments.
</li>
<li>
Strong organizational skills and ability to manage multiple concurrent initiatives.
</li>
<li>
Excellent written and verbal communication skills, especially when explaining technical concepts to non-technical stakeholders (e.g., clinicians, account managers, data scientists).
</li>
<li>
Self-starter with a strong sense of ownership and accountability.
</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>

Sr. Data Analyst

<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.
At Machinify, we're building state-of-the-art Visual Question Answering (VQA) systems for medical records using cutting-edge techniques in Natural Language Processing (NLP) and Computer Vision (CV). Our mission is to achieve human-expert level accuracy in medical document analysis — a highly challenging problem where traditional approaches, like vanilla Retrieval-Augmented Generation (RAG), fall short. While we've made significant strides, we're looking for an applied scientist to help us tackle the remaining core features and scale our models. What We're Looking For: An applied scientist with a passion for solving real-world problems and expertise in NLP and/or CV to push the boundaries of AI-driven healthcare solutions. Key Responsibilities: Solve complex problems in medical document understanding and question-answering using modern NLP and vision methodologies. Make data-driven decisions on algorithms and techniques tailored to specific business challenges. Work with limited and noisy labeled data, bootstrapping and iterating to improve model output in practical, real-world settings. Continuously evaluate and optimize models for scalability and performance in production environments. * Learn the intricacies of the healthcare domain and evolve into an industry expert over time. About You: Expertise in NLP and/or Computer Vision: You stay up to date with the latest research and developments in these fast-evolving fields. Strong Software Engineering Skills: You write clean, production-quality code and are comfortable building scalable solutions.
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>

NLP Scientist

<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>
Build systems that accelerate and scale the use of AI/ML innovations in Machinify’s production platforms, focusing on Payment Integrity and Audit solutions. You will work closely with data scientists on ensuring that state-of-the art AI systems, including LLM prompt engineering, RAG, agents, and other techniques can scale flexibly in Machinify services.
</li>
<li>
Build systems that enable high velocity and robust end-to-end data science experimentation cycles.
</li>
<li>
Drive projects aimed at significantly reducing manual audit review times and automating complex review types. Build upon our existing cutting-edge NLP and traditional ML approaches to achieve and exceed human-caliber interpretation of both claim data and medical records.
</li>
<li>
Deeply collaborate with Data Science, Data Engineering in order to deliver results through end-to-end solutions.&nbsp;
</li>
<li>
Explore and implement advanced AI approaches like AI agents to automate workflows and support increasingly complex use cases. 
</li>
</ul>
What You'll Bring:
<ul>
<li>
Expertise in machine learning and AI/ML, with a strong background in implementing state-of-the-art AI/ML solutions into production environments.&nbsp;
</li>
<li>
Strong Python or Java/Scala experience
</li>
<li>
Production experience with big-data technologies and systems for handling sophisticated agentic workflows.
</li>
<li>
Proven track record in reducing manual processes through automation, especially in areas requiring domain-specific expertise like healthcare payer rules and medical staff review.
</li>
<li>
Strong collaboration skills to work effectively with data scientists and other engineers in a cross-functional team environment. Ability to synthesize requirements into deep technical design through collaboration across Data Science, Data Engineering, and Engineering teams.
</li>
<li>
A passion for pushing the boundaries of AI to achieve higher accuracy and efficiency than human counterparts.
</li>
</ul>
Technical Requirements:
<ul>
<li>
Bachelors of Science in CS or related field.&nbsp;
</li>
</ul>
<ul>
<li>
3+ years building and shipping production AI/ML solutions and co-working with Data Scientists
</li>
<li>
Experience with Python AND Java/Scala or similar languages.&nbsp;&nbsp;
</li>
<li>
Strong CS foundation (data structures, asynchronous programming)&nbsp;
</li>
<li>
Strong test writing discipline
</li>
<li>
Experience with reading and understanding complex enterprise-grade code and quickly contributing to it, and suggesting improvements.
</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>

Software Engineer | GenAI, ML

<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:
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Main contributor to the expansion of our platform which is used as the foundation for web services, data services and Machinify’s AI systems
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Develop and maintain scalable and distributed systems to keep them extensible, scalable, and secure
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Design, develop, and maintain robust Scala and Java based systems
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Implement and manage distributed PostgreSQL database systems to ensure optimal performance and data integrity
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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
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Design and implement complex frameworks for applying machine learning techniques to large data volumes
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Deliver reliable and good-performing software
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Troubleshoot and resolve software and database issues in a timely manner.
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Participate in code reviews to maintain high code quality.
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Continuously explore new technologies and integrate them into projects to improve system performance and scalability.
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What You Bring:
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10+ years of strong software development experience including depth of knowledge in distributed systems, microservices architecture, and database technologies.
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Proficiency in Java or Scala, with a strong understanding of object-oriented and functional programming principles and performance tuning
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Experience with Java frameworks such as Spring or Java EE.
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Skill in reading the source for complex software systems, understanding them, and improving them
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Experience with SQL, database schema design, and relational database development/administration (PostgreSQL preferred)
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Knowledge of distributed computing frameworks (e.g. Apache Spark, Apache Kafka,).
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A strong CS foundation in data structures and asynchronous programming
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BS or MS in Computer Science (or equivalent experience)
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Preferred Qualifications:
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Additional experience developing Spark layer or big data processing workflows 
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System programming experience with network stack and file-system
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Familiarity with Kubernetes for container orchestration
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Familiarity with cloud platforms (e.g., AWS)
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Experience with CI/CD tools and practices
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Proficiency with version control systems (e.g., Git)
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Soft Skills:
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Strong critical thinking problem-solving skills and attention to detail.
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Comfort when navigating ambiguity
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Excellent communication and teamwork abilities
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Ability to work independently and manage time effectively
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Proactive attitude and a joy for learning new technologies
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What We Offer:
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Work from anywhere in the US! Machinify is digital-first.
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Flexible and trusting environment where you’ll feel empowered to do your best work
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Unlimited PTO
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Full Medical/Dental/Vision for employees &amp; their families w/ 100% premium coverage options!
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Competitive salary, equity, 401(k) sponsorship
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Learning and Development reimbursement policy
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</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:
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Develop applications &amp; contribute towards the UI and potentially middle-layer development
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Own projects aligned with our product development strategy
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Design and implement solutions to achieve a delightful and intuitive user experience
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Contribute to the underlying platform to ensure it is extensible, scalable, and secure
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Collaborate with team and external stakeholders such as Product Managers, Backend Engineers, UX team, &amp; our customers
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What you’ll bring:
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6-10+ years of production application development experience&nbsp;
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Proficiency in modern Javascript, React, CSS/HTML and familiarity with TypeScript&nbsp;
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Experience reading and understanding complex enterprise-grade code, quickly contribute to it, and suggesting improvements
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Excellent debugging skills (using dev tools source code, emphasis in identifying root cause, and proactively preventing future bugs)
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Proficiency integrating web API’s or micro-services to UI in partnership with backend developers
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Experience implementing best practices of incorporating AI into user flows
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Familiarity with standard development tools and processes like Github Workflows, Git, JIRA
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Experience creating and building systems in production with over 10k+ users
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Comfortable with ambiguity and taking the initiative
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BS or MS in Computer science (or equivalent experience)&nbsp;
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Excitement in making an impact in rewiring US healthcare!
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</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>
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Generous Learning and Development Reimbursement policy
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</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>

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