<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.
Machinify is seeking a TPM to help us coordinate projects, both internal and customer facing.
What you’ll do:
<ul>
<li>
Provide software development project management + cross-functional coordination and communication to deliver outstanding products
</li>
<li>
Understand business requirements and related context driving the software development to be able to prioritize projects and activities
</li>
<li>
Interface with partners and customers to drive win-win outcomes
</li>
<li>
Work closely with Software Engineers, Data Scientists, QA, and Product Managers and Customer facing teams to get high-quality products and features through the software lifecycle
</li>
<li>
Manage project schedules and tracking ensuring cross-functional alignment and achievement of the desired outcomes
</li>
<li>
Identify gaps and clearly communicate them to project stakeholders, follow-through until resolution
</li>
<li>
Take responsibility for release schedules and milestones, keeping up a high velocity in a fast-paced environment.
</li>
</ul>
What You Bring:
<ul>
<li>
You have 5+ years of experience as a TPM in a high-tech organization, and have a strong track record of facilitating enterprise level projects
</li>
<li>
You have 5+ years of experience in software product delivery
</li>
<li>
Experience and expertise in customer/partner communication
</li>
<li>
You enjoy taking the initiative and owning projects from start to finish
</li>
<li>
You can build positive relationships based on trust and value delivered
</li>
<li>
You can communicate effectively and bring strong process, project management and decision-making/facilitating skills
</li>
<li>
You are a critical thinker who can be strategic without losing the attention to detail
</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>

Technical Program Manager

<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 Senior/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>

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.
Why This Role Matters
As a Data Engineer, you’ll be at the heart of transforming raw external data into powerful, trusted datasets that drive payment, product, and operational decisions. You’ll work closely with product managers, data scientists, subject matter experts, engineers, and customer teams to build, scale, and refine production pipelines — ensuring data is accurate, observable, and actionable.
You’ll also play a critical role in onboarding new customers, integrating their raw data into our internal models. Your pipelines will directly power the company’s ML models, dashboards, and core product experiences. If you enjoy owning end-to-end workflows, shaping data standards, and driving impact in a fast-moving environment, this is your opportunity.
What You’ll Do
<ul>
<li>
Design and implement robust, production-grade pipelines using Python, Spark SQL, and Airflow to process high-volume file-based datasets (CSV, Parquet, JSON).
</li>
<li>
Lead efforts to canonicalize raw healthcare data (837 claims, EHR, partner data, flat files) into internal models.
</li>
<li>
Own the full lifecycle of core pipelines — from file ingestion to validated, queryable datasets — ensuring high reliability and performance.
</li>
<li>
Onboard new customers by integrating their raw data into internal pipelines and canonical models; collaborate with SMEs, Account Managers, and Product to ensure successful implementation and troubleshooting.
</li>
<li>
Build resilient, idempotent transformation logic with data quality checks, validation layers, and observability.
</li>
<li>
Refactor and scale existing pipelines to meet growing data and business needs.
</li>
<li>
Tune Spark jobs and optimize distributed processing performance.
</li>
<li>
Implement schema enforcement and versioning aligned with internal data standards.
</li>
<li>
Collaborate deeply with Data Analysts, Data Scientists, Product Managers, Engineering, Platform, SMEs, and AMs to ensure pipelines meet evolving business needs.
</li>
<li>
Monitor pipeline health, participate in on-call rotations, and proactively debug and resolve production data flow issues.
</li>
<li>
Contribute to the evolution of our data platform — driving toward mature patterns in observability, testing, and automation.
</li>
<li>
Build and enhance streaming pipelines (Kafka, SQS, or similar) where needed to support near-real-time data needs.
</li>
<li>
Help develop and champion internal best practices around pipeline development and data modeling.
</li>
</ul>
What You Bring
<ul>
<li>
4+ years of experience as a Data Engineer (or equivalent), building production-grade pipelines.
</li>
<li>
Strong expertise in Python, Spark SQL, and Airflow.
</li>
<li>
Experience processing large-scale file-based datasets (CSV, Parquet, JSON, etc) in production environments.
</li>
<li>
Experience mapping and standardizing raw external data into canonical models.
</li>
<li>
Familiarity with AWS (or any cloud), including file storage and distributed compute concepts.
</li>
<li>
Experience onboarding new customers and integrating external customer data with non-standard formats.
</li>
<li>
Ability to work across teams, manage priorities, and own complex data workflows with minimal supervision.
</li>
<li>
Strong written and verbal communication skills — able to explain technical concepts to non-engineering partners.
</li>
<li>
Comfortable designing pipelines from scratch and improving existing pipelines.
</li>
<li>
Experience working with large-scale or messy datasets (healthcare, financial, logs, etc.).
</li>
<li>
Experience building or willingness to learn streaming pipelines using tools such as Kafka or SQS.
</li>
<li>
Bonus: Familiarity with healthcare data (837, 835, EHR, UB04, claims normalization).
</li>
</ul>
🌱 Why Join Us
<ul>
<li>
Real impact — your pipelines will directly support decision-making and claims payment outcomes from day one.
</li>
<li>
High visibility — partner with ML, Product, Analytics, Platform, Operations, and Customer teams on critical data initiatives.
</li>
<li>
Total ownership — you’ll drive the lifecycle of core datasets powering our platform.
</li>
</ul>
Customer-facing impact — you will directly contribute to successful customer onboarding and data integration. We're hiring across multiple levels for this role. Final level and title will be determined based on experience and performance during the interview process.
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 Engineer

<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 Role
We are seeking a physician executive to serve as the clinical leader and executive partner to our health plan clients. Reporting to the CEO, the CMO will drive trusted client relationships, guide payment integrity policy, and represent the clinical voice in product innovation. This role emphasizes executive engagement and strategic influence, supported by a strong internal team managing day-to-day operations.
Key Responsibilities
Executive Client Engagement &amp; Strategic Leadership
<ul>
<li>
Build trusted partnerships with client Medical Directors, Payment Integrity executives, and senior payer stakeholders.
</li>
</ul>
<ul>
<li>
Partner with clients to validate results, demonstrate clinical credibility, and drive adoption of payment integrity solutions.
</li>
</ul>
<ul>
<li>
Collaborate with sales and customer success teams to support business development and long-term partnership growth.
</li>
</ul>
Payment Policy &amp; Clinical Guidance
<ul>
<li>
Shape payer-specific payment policies for accurate enforcement in the Machinify system.
</li>
</ul>
<ul>
<li>
Provide evidence-based clinical and coding rationale during client audits, appeals and escalations.
</li>
</ul>
<ul>
<li>
Advise on complex reimbursement constructs across CMS, Medicaid, and commercial plans, including DRG classifications, OPPS/APC, NCCI, CPT/HCPCS, and modifier logic.
</li>
</ul>
<ul>
<li>
Maintain alignment with authoritative industry standards (CMS NCCI, AMA CPT, ICD-10 guidelines, AHIMA briefs).
</li>
</ul>
Cross-Functional Collaboration
<ul>
<li>
Partner closely with operations, engineering, data science, product, and client services teams to ensure outputs are clinically sound.
</li>
</ul>
<ul>
<li>
Mentor internal clinicians and guide clinical playbooks and escalation protocols.
</li>
</ul>
Product &amp; Innovation Leadership
<ul>
<li>
Represent the clinical perspective in product roadmap and innovation initiatives.
</li>
</ul>
<ul>
<li>
Advance clinical content innovation to ensure defensibility, scalability, and impact.
</li>
</ul>
<ul>
<li>
Shape the platform to move beyond identifying payment errors to diagnosing root causes and enabling systemic improvements.
</li>
</ul>
Required Qualifications
<ul>
<li>
MD or DO with active license.
</li>
</ul>
<ul>
<li>
10+ years in payment integrity, reimbursement operations, or claims auditing. Expertise across inpatient, outpatient, and professional claims (DRG, APCs, CPT/HCPCS, modifier logic).
</li>
</ul>
<ul>
<li>
Strong knowledge of CMS, Medicare, Medicaid, and commercial payer adjudication rules.
</li>
</ul>
<ul>
<li>
Proven executive-level client engagement experience.
</li>
</ul>
<ul>
<li>
Demonstrated leadership and ability to translate clinical insights into strategy.
</li>
</ul>
Preferred Qualifications
<ul>
<li>
Experience with pharmacy claims, PBM workflows, or claims editing platforms (ClaimCheck, CES, Lyric).
</li>
</ul>
<ul>
<li>
Familiarity with AI/NLP or automation-driven audit workflows.
</li>
</ul>
<ul>
<li>
Advanced degree (MBA, MPH, MHA).
</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>

Chief Medical Officer

<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.
Why this role matters
As a Data Engineering Manager, you will lead a high-performing team responsible for transforming raw external and customer data into actionable, trusted datasets. Your team’s work powers product decisions, ML models, operational dashboards, and client integrations.
You’ll combine hands-on technical expertise with people and project leadership, reviewing and designing production pipelines, mentoring engineers, and driving best practices. You will also be a key cross-functional partner, collaborating with product managers, Server teams, Platform teams, UI teams, SMEs, account managers, analytics teams, ML/DS teams, and customer success to ensure data is accurate, reliable, and impactful.
This is a high-visibility role with both strategic and tactical impact — shaping data workflows, onboarding new customers, and scaling the team as the company grows.
What You’ll Do
<ul>
<li>
Lead, mentor, and grow a high-performing team of Data Engineers, fostering technical excellence, collaboration, and career growth. 
</li>
<li>
Own the design, review, and optimization of production pipelines, ensuring high performance, reliability, and maintainability. 
</li>
<li>
Drive customer data onboarding projects, standardizing external feeds into canonical models. 
</li>
<li>
Collaborate with senior leadership to define team priorities, project roadmaps, and data standards, translating objectives into actionable assignments for your team. 
</li>
<li>
Lead sprint planning and work with cross-functional stakeholders to prioritize initiatives that improve customer metrics and product impact. 
</li>
<li>
Partner closely with Product, ML, Analytics, Engineering, and Customer teams to translate business needs into effective data solutions. 
</li>
<li>
Ensure high data quality, observability, and automated validations across all pipelines. 
</li>
<li>
Contribute hands-on when necessary to architecture, code reviews, and pipeline design. 
</li>
<li>
Identify and implement tools, templates, and best practices that improve team productivity and reduce duplication. 
</li>
<li>
Build cross-functional relationships to advocate for data-driven decision-making and solve complex business problems. 
</li>
<li>
Hire, mentor, and develop team members, fostering a culture of innovation, collaboration, and continuous improvement. 
</li>
<li>
Communicate technical concepts and strategies effectively to both technical and non-technical stakeholders. 
</li>
<li>
Measure team impact through metrics and KPIs, ensuring alignment with company goals. 
</li>
</ul>
What You Bring
<ul>
<li>
Degree in Computer Science, Engineering, or a related field. 
</li>
<li>
3+ years of combined technical leadership and engineering management experience, preferably in a startup, with a proven track record of managing data teams and delivering high-impact projects from concept to deployment. 
</li>
<li>
10+ years of experience in data engineering, including building and maintaining production pipelines and distributed computing frameworks. 
</li>
<li>
Strong expertise in Python, Spark, SQL, and Airflow
</li>
<li>
Hands-on experience in pipeline architecture, code review, and mentoring junior engineers. 
</li>
<li>
Prior experience with customer data onboarding and standardizing non-canonical external data. 
</li>
<li>
Deep understanding of distributed data processing, pipeline orchestration, and performance tuning. 
</li>
<li>
Exceptional ability to manage priorities, communicate clearly, and work cross-functionally, with experience building and leading high-performing teams. 
</li>
<li>
Demonstrated experience leading small teams, including performance management and career development. 
</li>
<li>
Comfortable with ambiguity, taking initiative, thinking strategically, and executing methodically. 
</li>
<li>
Ability to drive change, inspire distributed teams, and solve complex problems with a data-driven mindset. 
</li>
<li>
Customer-oriented, ensuring work significantly advances product value and impact.
</li>
</ul>
Bonus:
<ul>
<li>
Familiarity with healthcare data (837/835 claims, EHR, UB04). 
</li>
<li>
Experience with cloud platforms (AWS/GCP), databricks , streaming frameworks (Kafka/SQS), and containerized workflows (Docker/Kubernetes). 
</li>
<li>
Experience building internal DE tooling, frameworks, or SDKs to improve team productivity.
</li>
</ul>
Why you'll love working here
<ul>
<li>
High Impact: Your team’s work powers key decisions across product, ML, operations, and customer-facing initiatives. 
</li>
<li>
Ownership &amp; Growth: Influence the data platform and pipeline architecture while mentoring a growing team. 
</li>
<li>
Cross-Functional Exposure: Work with product, platform, engineering , ML, analytics, and customer teams to solve meaningful problems. 
</li>
<li>
Remote Flexibility: Fully remote with opportunities to collaborate across teams. 
</li>
</ul>
Early Builder Advantage: Shape processes, standards, and practices as we scale.
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 Engineering Manager

<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.
Machinify is seeking a Senior Auditor for pre and/or post pay data mining to conduct claims audits on behalf of Machinify’s customers. In addition, the Sr. Auditor will assist in concept ideation, product testing, quality enhancements, and related tasks to ensure customer satisfaction.
The ideal person for this role has a strong background in healthcare claims auditing, claims processing and coding, and a high level of understanding of payment guidelines for CMS and commercial payers.
What You'll Do:
<ul>
<li>
Conduct comprehensive reviews of pre and post pay claims using any and all available resources, including but not limited to, claims data and client adjudication systems, payment guidelines and compliance with regulatory requirements, contract, pricing systems, medical records, authorizations, etc.&nbsp;&nbsp;
</li>
<li>
Serve as a claims billing and payment expert, and resource for the data teams and other departments.&nbsp;
</li>
<li>
Develop and refine reimbursement policies and procedures in collaboration with the team.&nbsp;
</li>
<li>
Remain updated with the latest billing guidelines and regulations.
</li>
<li>
Achieve the expected level of accuracy and quality set by the audit for the auditing concept, for valid claim identification and documentation.
</li>
<li>
Additional responsibilities as assigned or needed to support the business.
</li>
<li>
Identify new payment error concepts. Identifies potential claims outside of the concept where additional recoveries may be available. Suggests and develops high-quality, high-value concepts and or process improvement, tools, etc.
</li>
</ul>
What You'll Bring:
<ul>
<li>
5+ years of relative experience
</li>
<li>
Ability to review payment information against Medicare and payer billing guidelines to make determinations relating to the appropriateness of payments
</li>
<li>
Experience or certification in coding/billing is helpful
</li>
<li>
Ability to meet deadlines
</li>
<li>
Willingness and ability to do whatever is necessary to accomplish workload demands
</li>
<li>
Delivery of high-quality work is critical
</li>
<li>
Strong attention to detail; investigative and deductive reasoning skills are a must
</li>
<li>
Must be able to make decisions and conclusions when working with limited information using reference materials and strong problem-solving skills
</li>
<li>
Proficiency in Excel, Word, Google Sheets, Slack/messaging platform, etc.
</li>
<li>
Able to work in a fast paced environment and adapt to rapid change and growth.
</li>
</ul>
Preferred skills:
<ul>
<li>
Data Mining experience - Post and Pre-pay
</li>
<li>
Payer auditing experience
</li>
<li>
Coding certification
</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 starting salary for this position is 100k+ 
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 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>

Senior Auditor - Pre/Post pay claim (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 looking for a skilled Senior Software Engineer - Backend to join our growing platform engineering team. 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.
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>
Contribute to backend server development to keep our system extensible, scalable, and secure
</li>
<li>
Work with other teams to understand how our systems must change to support 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>
</ul>
What You Bring: 
<ul>
<li>
8+ years of strong experience in backend-focused platform software development
</li>
<li>
Skilled in reading the source for complex software systems, understanding them, and improving them
</li>
<li>
Critical thinking and problem-solving skills
</li>
<li>
Comfort when navigating ambiguity
</li>
<li>
Joy when learning new things
</li>
<li>
A drive to write high-quality software
</li>
</ul>
The ideal candidate will have a selection of these technical skills as well:
<ul>
<li>
Working experience with Java, Scala, and the JVM
</li>
<li>
Additional experience developing Spark layer or big data processing workflows a plus
</li>
<li>
Working experience with SQL
</li>
<li>
Experience in Rust and Python as a bonus
</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>
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 $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>

Senior Backend Engineer | Platform Team (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.
Machinify is hiring for a Senior Automation Engineer to design, develop, and improve our automation tools and tests with a focus on backend automation testing!
The ideal background will have a focus on testing web applications, developing manual and automated tests, and an interest in joining a product focused team. You are driven and scrappy when delivering tests that assess the quality of complex systems.
We're the Healthcare industry’s most comprehensive application suite. Our teams are highly collaborative across all areas of the organization, autonomous in their ability to perform work, and highly impactful towards the success of the business.
What You'll Do:
<ul>
<li>
Work with Product Manager, Design team, and Engineers to clearly understand testing requirements and procedures
</li>
<li>
Design, develop, and run manual &amp; automated tests to validate functionality of our core applications
</li>
<li>
Drive quality testing initiatives, analyze functionality of application, and continuously identify areas of improvement within our test automation suite
</li>
<li>
Develop test cases, document quality issues, and create testing reports
</li>
<li>
Create and maintain test data across test environments
</li>
<li>
Collaborate effectively with a distributed and cross-functional team to resolve any open issues
</li>
<li>
Provide timely QA updates to project managers and team leads
</li>
</ul>
What You Bring:
<ul>
<li>
6+ years of experience as an Automation Engineer with expertise in service layer testing and some UI automation experience
</li>
<li>
Experience programming with python and Javascript; other languages are a plus
</li>
<li>
Additional experience with frameworks preferably with Cypress or Playwright
</li>
<li>
Good knowledge and use of SQL
</li>
<li>
Experience with CI/CD pipelines using Jenkins, Github actions or similar tools.
</li>
<li>
Familiar with Docker and Git.
</li>
<li>
Detailed knowledge of application functions, bug fixing, and testing protocols
</li>
<li>
Excellent communication, critical thinking, and analytical skills
</li>
<li>
You are self driven, motivated, and feel a sense of ownership
</li>
<li>
Ability to adapt to and manage competing priorities
</li>
<li>
Comfortable with ambiguity and taking the initiative when required
</li>
<li>
BS degree in Computer Science or equivalent experience&nbsp;
</li>
<li>
Healthcare domain knowledge is a plus
</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 dependent on leveling is between 150k-180k.
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. Automation Engineer | Quality Assurance (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.
Why This Role Matters
As a Data Engineer, you’ll be at the heart of transforming raw external data into powerful, trusted datasets that drive payment, product, and operational decisions. You’ll work closely with product managers, data scientists, subject matter experts, engineers, and customer teams to build, scale, and refine production pipelines — ensuring data is accurate, observable, and actionable.
You’ll also play a critical role in onboarding new customers, integrating their raw data into our internal models. Your pipelines will directly power the company’s ML models, dashboards, and core product experiences. If you enjoy owning end-to-end workflows, shaping data standards, and driving impact in a fast-moving environment, this is your opportunity.
What You’ll Do
<ul>
<li>
Design and implement robust, production-grade pipelines using Python, Spark SQL, and Airflow to process high-volume file-based datasets (CSV, Parquet, JSON).
</li>
<li>
Lead efforts to canonicalize raw healthcare data (837 claims, EHR, partner data, flat files) into internal models.
</li>
<li>
Own the full lifecycle of core pipelines — from file ingestion to validated, queryable datasets — ensuring high reliability and performance.
</li>
<li>
Onboard new customers by integrating their raw data into internal pipelines and canonical models; collaborate with SMEs, Account Managers, and Product to ensure successful implementation and troubleshooting.
</li>
<li>
Build resilient, idempotent transformation logic with data quality checks, validation layers, and observability.
</li>
<li>
Refactor and scale existing pipelines to meet growing data and business needs.
</li>
<li>
Tune Spark jobs and optimize distributed processing performance.
</li>
<li>
Implement schema enforcement and versioning aligned with internal data standards.
</li>
<li>
Collaborate deeply with Data Analysts, Data Scientists, Product Managers, Engineering, Platform, SMEs, and AMs to ensure pipelines meet evolving business needs.
</li>
<li>
Monitor pipeline health, participate in on-call rotations, and proactively debug and resolve production data flow issues.
</li>
<li>
Contribute to the evolution of our data platform — driving toward mature patterns in observability, testing, and automation.
</li>
<li>
Build and enhance streaming pipelines (Kafka, SQS, or similar) where needed to support near-real-time data needs.
</li>
<li>
Help develop and champion internal best practices around pipeline development and data modeling.
</li>
</ul>
What You Bring
<ul>
<li>
4+ years of experience as a Data Engineer (or equivalent), building production-grade pipelines.
</li>
<li>
Strong expertise in Python, Spark SQL, and Airflow.
</li>
<li>
Experience processing large-scale file-based datasets (CSV, Parquet, JSON, etc) in production environments.
</li>
<li>
Experience mapping and standardizing raw external data into canonical models.
</li>
<li>
Familiarity with AWS (or any cloud), including file storage and distributed compute concepts.
</li>
<li>
Experience onboarding new customers and integrating external customer data with non-standard formats.
</li>
<li>
Ability to work across teams, manage priorities, and own complex data workflows with minimal supervision.
</li>
<li>
Strong written and verbal communication skills — able to explain technical concepts to non-engineering partners.
</li>
<li>
Comfortable designing pipelines from scratch and improving existing pipelines.
</li>
<li>
Experience working with large-scale or messy datasets (healthcare, financial, logs, etc.).
</li>
<li>
Experience building or willingness to learn streaming pipelines using tools such as Kafka or SQS.
</li>
<li>
Bonus: Familiarity with healthcare data (837, 835, EHR, UB04, claims normalization).
</li>
</ul>
🌱 Why Join Us
<ul>
<li>
Real impact — your pipelines will directly support decision-making and claims payment outcomes from day one.
</li>
<li>
High visibility — partner with ML, Product, Analytics, Platform, Operations, and Customer teams on critical data initiatives.
</li>
<li>
Total ownership — you’ll drive the lifecycle of core datasets powering our platform.
</li>
</ul>
Customer-facing impact — you will directly contribute to successful customer onboarding and data integration. We're hiring across multiple levels for this role. Final level and title will be determined based on experience and performance during the interview process.
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>

<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 skilled Staff and Sr. level Backend Engineer to join our growing engineering team. 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 through serving as a tech lead or guiding complex projects.
Our engineering team is composed of the best and brightest software developers and data engineers. 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 impactful towards the success of the business. We build highly performant ML and AI products that are transforming the landscape of healthcare.
What You’ll Do:
<ul>
<li>
Contribute to backend server-side development to ensure our application is extensible, scalable, and secure
</li>
<li>
Recognize and prioritize between Customer deliverables &amp; Tech debt to develop a sustainable software suite of products.
</li>
<li>
Enjoy designing and architecting complex frameworks for applying ML techniques to large data volumes and simplifying labor-intensive processes
</li>
<li>
Deliver resilient enterprise software solutions
</li>
</ul>
What You Bring:
<ul>
<li>
10+ years of backend focused experience in the field of application programming
</li>
<li>
Strong working experience with Java or Scala 
</li>
<li>
Experience reading and understanding complex enterprise-grade code, quickly contributing to it, and suggesting improvements.
</li>
<li>
Working experience writing SQL queries
</li>
<li>
Additional Python and C# or other backend languages are a plus
</li>
<li>
Strong CS foundation (data structures, asynchronous programming)&nbsp;
</li>
<li>
Excellences in test writing discipline
</li>
<li>
Critical thinking and problem solving skills working in a high growth environment
</li>
<li>
Comfortable navigating ambiguity
</li>
<li>
BS or MS in Computer Science (or equivalent experience)
</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 $225k +/-&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>

56 machinify Jobs