Prepare for and practice interview questions from Machinify.

Machinify Interview Questions

A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

Machinify Interview Guides

Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.

What factors could have biased this result, and what would you look into?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

In an A/B test, how can you check if assignment to the various buckets was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

Random Bucketing

A/B Testing & Experimentation

<div><h2>Data Engineering Manager</h2>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.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.<h2>What You'll Do</h2><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><h2>What You Bring</h2><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: Familiarity with healthcare data (837/835 claims, EHR, UB04). Experience with cloud platforms (AWS/GCP), databricks, streaming frameworks (Kafka/SQS), and containerized workflows (Docker/Kubernetes). Experience building internal DE tooling, frameworks, or SDKs to improve team productivity.<h2>Why You'll Love Working Here</h2><ul><li>High Impact: Your team's work powers key decisions across product, ML, operations, and customer-facing initiatives.</li><li>Ownership & 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 MachinifyMachinify 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.</div>

<h3>Job Description</h3><div>Job Description<div>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 Product Manager to help us translate the voice of the customer and our product strategy into product requirements. What you’ll do:<ul><li>Work with product leadership and key stakeholders to shape future product strategy, and ensure flawless execution of the product roadmap</li><li>Understand the drivers of business value to the customer, challenge the status quo and propose new solutions.</li><li>Translate customer opportunities and needs into requirements for our Design, Engineering, and Data Science teams.</li><li>Facilitate refinement discussions to drive out needed functional requirement details</li><li>Work closely with Design teams in detail to create impactful product interfaces and user experiences.</li><li>Leverage product analytics and user metadata to relentlessly pursue continuous improvement initiatives</li><li>Drive cross-functional alignment among stakeholders, building strong partnerships and facilitating collaboration across teams</li><li>Bring a high level of curiosity and the ability to ask probing questions</li><li>Develop a deep understanding of the Machinify platform and products and the ability to estimate technical complexity of implementation. </li></ul>What you bring:<ul><li>Extensive Product Management experience in a high-tech org delivering complex software products, ideally within AI/ML, or data-driven domains.</li><li>Strong ability to manage trade-offs between short-term wins and long-term strategy, with a track record of driving both.</li><li>Experience working directly with operations or domain-expert teams to ensure product-market fit and operational viability.</li><li>Strong background in partnering with Design teams and applying UX best practices.</li><li>Demonstrated success in leading software delivery, either as a Product Manager or Engineer, with deep technical curiosity.</li><li>Initiative and ownership—you drive projects from vision to prototype to design to execution.</li><li>Excellent communication, facilitation, and decision-making skills, with the ability to build trust-based relationships across teams.</li><li>High curiosity and the ability to ask the right questions to challenge assumptions and uncover opportunities.</li></ul>Equal Employment Opportunity at MachinifyMachinify 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. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/</div></div>

<h3>Job Description</h3><div>Job Description<div>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.We are looking for an experienced Staff or Principal level Software Engineer to join our growing engineering team. In this role you will be responsible for shaping and architecting the next generation of Payer related solutions driven by a foundation that is based on AI and use of LLMs to solve payment integrity across claims processing for Healthcare Payers. The ideal candidate has proven track record of building complex software systems through the full lifecycle as well as proven leadership skills to be a guide, mentor and coach as well as be a tech lead for our projects in Payment Integrity spaceYou’ll have the opportunity to work on a platform that sits at the intersection of engineering, AI, modeling, and real-world decision automation. As a cross-functional high impact role, you’ll influence foundational technical decisions and collaborate with a world-class engineering team solving meaningful and complex problems!What You’ll Do:<ul><li>Lead end-to-end design and implementation of large-scale data mining solutions that handle real-time data as well as batch mode ingestion, modeling, and inference</li><li>Shape long-term architectural direction, technology stack, and engineering best practices</li><li>Identify and mitigate technical risks, ensuring scalability, availability, and reliability across the platform</li><li>Mentor and guide engineers across teams, fostering strong engineering culture and technical excellence</li><li>Partner with peers in product management, operations and data science to translate ambiguous business requirements into actionable technical plans</li><li>Enjoy designing and architecting complex frameworks for applying ML techniques to large data volumes and simplifying labor-intensive processes</li><li>Recognize and prioritize between Customer deliverables & Tech debt to develop a sustainable software suite of products</li></ul>What You Bring:<ul><li>10+ years of hands-on experience building complex distributed systems or large-scale backend platforms</li><li>Strong working experience with Java or Scala (additional experience with python, Rust, or C# are a plus)</li><li>Deep expertise with data-intensive systems, or real-time processing pipelines.</li><li>Proven ability to drive high-impact , green field and / or ambiguous projects or architecture initiatives across teams</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>Strong CS foundation (data structures, 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>Full Medical/Dental/Vision for employees & their families</li><li>Flexible and trusting environment where you’ll feel empowered to do your best work</li><li>Unlimited PTO</li><li>Competitive salary, equity, 401(k) sponsorship and company match</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 $235k +/-  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 MachinifyMachinify 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. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/</div></div>

<h3>Job Description</h3><div>Job Description<div>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 Sr. 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>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</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 MachinifyMachinify 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. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/</div></div>

<h3>Job Description</h3><div>Job Description<div>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.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 & 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.  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 MachinifyMachinify 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. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/</div></div>

Question	Topic	Difficulty	Ask Chance
Boarding Times Bias	Statistics	Medium	Very High
Hundreds of Hypotheses	Statistics	Medium	Very High
Random Bucketing	A/B Testing & Experimentation	Medium	Very High

Machinify Interview Questions

Machinify Interview Guides

Machinify Interview Questions

Machinify Opening Jobs