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Machinify Interview Questions

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Let’s say that your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM checks the results and finds a .04 p-value.

How would you assess the validity of the result?

Experiment Validity

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?

Let’s say you work for a social media company that has just done a launch in a new city. Looking at weekly metrics, you see a slow decrease in the average number of comments per user from January to March in this city.

The company has been consistently growing new users in the city from January to March.

What are some reasons why the average number of comments per user would be decreasing and what metrics would you look into?

What metric could be used to measure if active users are still engaging on the platform despite an overall decrease in the average number of comments per user?

What metric could be used to measure if active users are still engaging on the platform despite an overall decrease in the average number of comments per user?

Decreasing Comments

How would you investigate a decline in the average number of comments per user?

Machinify Salaries by Position

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. Are you ready to apply your machine learning expertise to make a real impact? Join our team as a Staff Data Scientist and build cutting-edge models for some of the nation’s largest health plans to tackle claims errors—from simple mistakes to complex fraud. Billions of dollars are lost to such errors each year, yet fewer than 10% claims are ever audited. Our models are transforming this process, helping insurers pinpoint the right claims to audit, recover hundreds of millions in wasted medical spend, and streamline operational efficiency. We have already made great strides, outperforming human selection, but the journey is just beginning—and that’s where you come in. The Role: We’re seeking a Staff Data Scientist to push our models to new heights. You’ll lead the charge on refining model accuracy and scalability, building frameworks and tools that empower our team and amplify impact across healthcare.
What You’ll Do:
Master Claim Audits: Dive into various clinical and coding audits, unpacking the data that drives audit decisions, and understanding past outcomes. Model Advancement: Curate labeled data, hypothesize new features, and develop ML models that target claims for audit with even greater precision. Optimize Impact: Measure model performance rigorously, translating outcomes into operational insights and recommendations for our clients. Tame Complexity: Work with vast, nuanced data pipelines derived from intricate business workflows—often unclean and undefined—to refine them for robust modeling. Drive Team Success: Enhance data pipelines, modeling infrastructure, and team tools to level up our capabilities and decision-making efficiency. Grow with Healthcare: Build expertise in healthcare data and make an impact on the industry. Engage with clients and internal experts to refine model insights, ensuring alignment with real business needs. What You Bring:
Real-World Impact: Extensive experience solving business problems through ML models that drive tangible outcomes. Team-Driven Innovation: A track record of developing frameworks and tools that elevate team productivity. Strategic and Detail-Oriented: Able to map out high-level plans without missing the crucial details. Results-Obsessed: Proven skills in measuring and optimizing the business impact of ML models. Data Dexterity: Experienced in handling and transforming complex, unstructured data at scale. Production Ready: You write production-quality code, build resilient pipelines, and have a history of deploying models despite practical hurdles. Healthcare Enthusiasm: A deep curiosity for healthcare; prior experience with health plan data is a huge plus. Client-Focused Communicator: Proactive and comfortable sharing insights cross-functionally, with a knack for distilling complex data for impactful storytelling. 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. #J-18808-Ljbffr

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. Are you ready to apply your machine learning expertise to make a real impact? Join our team as a Staff Data Scientist and build cutting-edge models for some of the nation's largest health plans to tackle claims errors-from simple mistakes to complex fraud. Billions of dollars are lost to such errors each year, yet fewer than 10% claims are ever audited. Our models are transforming this process, helping insurers pinpoint the right claims to audit, recover hundreds of millions in wasted medical spend, and streamline operational efficiency. We have already made great strides, outperforming human selection, but the journey is just beginning-and that's where you come in. The Role: We're seeking a Staff Data Scientist to push our models to new heights. You'll lead the charge on refining model accuracy and scalability, building frameworks and tools that empower our team and amplify impact across healthcare. What You'll Do: <ul> <li>Master Claim Audits: Dive into various clinical and coding audits, unpacking the data that drives audit decisions, and understanding past outcomes. </li><li>Model Advancement: Curate labeled data, hypothesize new features, and develop ML models that target claims for audit with even greater precision. </li><li>Optimize Impact: Measure model performance rigorously, translating outcomes into operational insights and recommendations for our clients. </li><li>Tame Complexity: Work with vast, nuanced data pipelines derived from intricate business workflows-often unclean and undefined-to refine them for robust modeling. </li><li>Drive Team Success: Enhance data pipelines, modeling infrastructure, and team tools to level up our capabilities and decision-making efficiency. </li><li>Grow with Healthcare: Build expertise in healthcare data and make an impact on the industry. Engage with clients and internal experts to refine model insights, ensuring alignment with real business needs. </li></ul>What You Bring: <ul> <li>Real-World Impact: Extensive experience solving business problems through ML models that drive tangible outcomes. </li><li>Team-Driven Innovation: A track record of developing frameworks and tools that elevate team productivity. </li><li>Strategic and Detail-Oriented: Able to map out high-level plans without missing the crucial details. </li><li>Results-Obsessed: Proven skills in measuring and optimizing the business impact of ML models. </li><li>Data Dexterity: Experienced in handling and transforming complex, unstructured data at scale. </li><li>Production Ready: You write production-quality code, build resilient pipelines, and have a history of deploying models despite practical hurdles. </li><li>Healthcare Enthusiasm: A deep curiosity for healthcare; prior experience with health plan data is a huge plus. </li><li>Client-Focused Communicator: Proactive and comfortable sharing insights cross-functionally, with a knack for distilling complex data for impactful storytelling. </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.

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, BE|ML to join our growing AI focused healthcare startup! As a growing start-up, the ideal mix would be between a 60/40% split between backend web app development and ML platform infrastructure. There's an emphases on finding experience building infrastructure or tooling for ML/AI Platforms with proven success in getting LLM's production ready. Data modeling experience will also be beneficial as this hire will partner closely with our Tech Lead - ML Platform. We're looking to get connected if this sounds like you and have assisted in the development of AI platforms! 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. There's a strong focus on leveraging NLP/LLM techniques for our healthcare applications. We build highly performant ML and AI products that are transforming the landscape of healthcare. What you'll do: <ul> <li>Contribute to the underlying ML platform to ensure it is extensible, scalable, and secure </li><li>Build data platform infrastructure that is extensible, scalable, and secure </li><li>Recognize and prioritize between customer deliverables & 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'll bring: <ul> <li>Extensive experience in the field of web application programming </li><li>ML background - production experience assisting in the build of ML/AI infrastructure or tools </li><li>Strong working experience with Java </li><li>Working experience writing SQL queries. </li><li>Python, Scala, C++, C# is a plus </li><li>Strong CS foundation (data structures, asynchronous programming) </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><li>Critical thinking and problem solving skills working in a high growth environment </li><li>Comfortable with ambiguity and taking the initiative when required </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, recharge days and one no-meetings day a week </li><li>100% premium Medical/Dental/Vision benefits! </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 $240k +/-. We are hiring for different levels, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks 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.

<h3>Job Description</h3><div>Job Description<div>Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude.We are seeking a Staff/Lead Data Engineer to build and own critical data pipelines.  What you’ll do:<ul><li>Independently understand all aspects of a business problem including those unrelated to their area of expertise, weigh pros and cons of different approaches and suggest ones likely to succeed</li><li>Work with a cross-functional organization including engineering, delivering, subject-matter experts, product managers, as well as platform engineers to deliver a scalable framework. </li><li>Map the customer data into Machinify canonical form. Identify and ingest non canonical fields and generalize the process to a minimal level of customization.  </li><li>Proactively design and adapt the canonical form to suit changing query patterns and needs.  </li><li>Ultimately own data availability and quality for the Data Science organization.</li></ul>What You Bring:<ul><li>Deep experience as a hands-on Data Engineer building production data pipelines</li><li>Experience managing the delivery of complex data</li><li>Experience in ETL orchestration and workflow management tools with a strong preference for Apache Airflow</li><li>Experience in Spark or other distributed computing frameworks</li><li> SQL and Python</li><li>Advanced SQL performance tuning</li><li>Kubernetes and building Docker images</li><li>AWS & GCP</li><li>Experience working with APIs to collect or ingest data</li><li>Manage SLA for all pipelines in allocated areas of ownership</li><li>Streaming technologies like kafka , spark streaming etc</li><li>ELK stack , Grafana etc</li></ul>The base salary for this position will vary based on an array of factors unique to each candidate such as qualifications, years and depth of experience, skill set, certifications, etc. The base salary range for this role is 220k-270k. We are hiring for different seniorities, 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. </div></div>

Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude.

We are seeking a Principal Data Scientist. This role will be responsible for technical leadership as well as hands-on contribution to the data science team at Machinify. Our platforms already leverage cutting-edge NLP and traditional ML to help clinicians make complex decisions, but the real challenge lies ahead; moving from "AI Assistant" to human-caliber interpretation of both claim data and medical records.

What you will do:

Provide high level technical direction & guidance to a team of Senior and Staff Data Scientists, enabling them to do their best work.

Execute hands-on as a senior member of the team supporting our "Pay" product.

Develop code to execute payment policies as automated software. Contribute to improving the software architecture.

Measure the effect of policy changes on healthcare payments. Use data to identify areas for policy improvement.

Collaborate with the leadership team to define key technical and business metrics and objectives.

What you bring:

Degree in Computer Science, Engineering, or a related field.

Deep, highly technical data science experience.

Several years in a leadership role.

Startup experience is a big plus.

Proven track record of managing data teams and delivering complex, high-impact products from concept to deployment.

Intimate knowledge of data privacy regulations and best practices in data security.

Exceptional team management abilities, with experience in building and leading high-performing teams.

Ability to think strategically and execute methodically.

Ability to drive change and inspire a distributed team.

Strong problem-solving skills and a data-driven mindset.

What we offer:

A flexible and trusting environment where you'll feel empowered to do your best work.

Work from anywhere in the US! Our team is distributed and most of us work from home.

Hardworking and supportive colleagues, and a leadership team that understands the importance of recruiting and retaining top talent.

Incredible medical, vision, and dental benefits for employees & their families.

Competitive salary and equity, 401(k) sponsorship.

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.

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Machinify Interview Questions

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Machinify Interview Questions

Machinify Salaries by Position

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