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A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

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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?

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?

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Job Title: React Software EngineerLocation: Jersey City, NJ (Onsite)Duration: 9 months Contract - RTHPay Range: $(45.00 - 50.00)/hr on W2 all-inclusive without benefits Job DescriptionThe position is centered on building modern, high-performance web applications using React and associated front-end technologies. The engineer should bring at least six years of total software development experience, including strong, hands-on expertise with React. The role requires someone who can design clean architecture, write maintainable code, and contribute meaningfully to product evolution. Collaboration with design, backend, and product teams will be a steady part of the work.Responsibilities• Build and maintain user-facing features using React, modern JavaScript, and component-driven development.• Develop reusable components and front-end modules that support long-term scalability and performance.• Diagnose UI issues, optimize page performance, and ensure cross-browser and cross-device compatibility.• Integrate RESTful APIs and collaborate closely with backend teams for smooth data flows.• Work within Agile/Scrum processes, participating in sprint planning, estimation, and code reviews.• Implement automated testing using tools like Jest, React Testing Library, or Cypress.• Translate UX wireframes and design mockups into functional, production-ready interfaces.Required Skills & Experience• Minimum 6 years of total software engineering experience.• Strong proficiency in React, including Hooks, state management (Redux, or Context API), and component architecture.• Solid grounding in JavaScript (ES6+), TypeScript, HTML5, CSS3, and responsive design principles.• Experience with front-end build tools and bundlers such as Webpack, Babel, or Vite.• Familiarity with Git, CI/CD pipelines, and modern development workflows.Preferred Qualifications• Exposure to Next.js or other React frameworks.• Experience with cloud platforms like AWS or Azure.• Background in accessibility standards (WCAG) and performance optimization.• Understanding of micro-frontends or modular architecture.

Job Title: Generative AI Software EngineerLocation: Jersey City, NJDuration: 09 months contract (Possible RTH)Pay Range: $(52.00 – 58.00)/hr on W2 all-inclusive without benefits Job Summary:We are seeking a highly skilled Generative AI Engineer with a strong background in Machine Learning, LLMs, and modern AI frameworks to design, build, and deploy intelligent systems and generative models. The ideal candidate will have experience developing end-to-end AI solutions, optimizing model performance, and integrating generative capabilities into production applications. This role will work closely with cross-functional teams including product, research, engineering, and data science. Key ResponsibilitiesDesign, develop, and deploy Generative AI models, including LLMs, diffusion models, transformers, and multimodal architectures.Build end-to-end AI/ML pipelines, including data ingestion, preprocessing, training, evaluation, and model deployment.Fine-tune large language models (LLMs) using domain-specific datasets, prompt engineering, and reinforcement learning techniques (RLHF preferred).Develop scalable backend systems to support inference, API integrations, and real-time generative workloads.Collaborate with cross-functional teams to translate business requirements into technical solutions.Conduct POCs and prototype development for new generative AI capabilities.Optimize model performance for speed, accuracy, latency, and compute efficiency.Implement best practices for model monitoring, observability, and drift detection.Work with vector databases, embeddings, and retrieval-augmented generation (RAG) pipelines.Ensure compliance with security, ethical AI, data privacy, and responsible AI principles.Stay up to date with emerging research in generative AI, ML, LLMs, and advanced model architectures. Required QualificationsBachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, Engineering, or related field.Min 6+ years of professional experience in software engineering, machine learning engineering, or AI development.Strong hands-on experience with Python, PyTorch, TensorFlow, JAX, or related ML frameworks.Proven experience building and deploying LLMs, GANs, diffusion models, or transformer-based architectures.Solid understanding of machine learning fundamentals, deep learning, NLP, and generative modeling.Experience with cloud platforms (AWS, Azure, or GCP) and scalable AI infrastructure (Kubernetes, Docker, serverless, distributed training).Proficiency in building RESTful APIs, microservices, and backend integrations.Strong knowledge of MLOps, CI/CD for ML, and model lifecycle management.Excellent problem-solving, communication, and collaboration skills. Preferred Qualifications:Familiarity with multimodal AI (vision + language models).Hands-on experience with OpenAI, Google Vertex AI, or Azure OpenAI ecosystems.Background in data engineering or building large-scale data pipelines.Contributions to open-source AI/ML projects.

Question	Topic	Difficulty	Ask Chance
Boarding Times Bias	Statistics	Medium	Very High
Hundreds of Hypotheses	Statistics	Medium	Very High
Decreasing Comments	Product Metrics	Easy	Very High

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