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Applied ML - Code Analysis

Applied ML Engineer - Code Analysis

I’m Brian, the Founder and CEO at Replay.  We’ve recently launched a new API and no-code tool Nut centered on making AIs great at debugging.  We’re building on our five years of history and unique low-overhead Chromium recorder to deliver a product with incredible capabilities that will greatly expand the capabilities of AI developers.  We’re a small company but are well funded by Andreessen Horowitz, IA Ventures, Version One, and other investors.  We’re staffing up to best pursue this opportunity.

The Role

AI generated code often needs to be modified to meet the desired goals of an application or may have bugs when applied to various use cases.  As an applied AI lead, you’ll work directly with our CEO/founder to develop the core technology behind our API that identifies and explains problems in recordings of application code executions.  Advance our technology using AI to identify and resolve bugs in code and to modify AI generated code developed for particular app features and use cases.  Play a significant role in developing AI tools that allow software developers to use AI to write better, more efficient and bug free code.

Responsibilities

  • Use LLMs in concert with tools based on traditional program analysis techniques like control dependency analysis and dataflow analysis to advance our technology.

  • Review reports shared by users and identify patterns where our API falls short.

  • Design improvements to the AI and its tools for solving new problems and building out our evals.

  • Optimize the reliability of the API and the consistent performance on our evals.

Your Expertise

  • You have a track record building new technology using AI based analysis.

  • BS and/or Master/PhD degree, preferably in CS, or equivalent experience

  • Passionate about enabling great user experiences using AI - particularly for developers

  • Passionate about careful design and construction of robust analyses and evals

  • Excellent communication and collaboration skills and the ability to work well within engineering organization and cross functions

  • Love collaborating via code reviews, architecture discussions, and are motivated to improve their teammates’ productivity

  • Strong product focused coding skills

  • Experience working with TypeScript and React applications is highly desired

About Us

We are a fully remote company and this position is open to anyone regardless of location, but we are US based and mainly work during US hours.

Engineering Culture

Our culture is organized around several key values.

  • Respect: Respect for you and for each other is crucial. We do our best work as engineers when we deeply understand the problems we’re working on, have ownership over the pieces of the system we’re building, and have the freedom and flexibility to improve them as needed.

  • Efficiency: As a small company we follow best practices around CI/CD and have a well organized architecture to ensure we can move quickly. A key part of efficient development is a close relationship with our users, to make sure we’re staying on the right track.

  • Supportiveness: Being fully remote it’s important to avoid siloing and make sure we’re working closely together and supporting each other. Work days are organized around a team-wide daily sync and then breakout discussions (live or on discord) to help each other with any issues we’re running into.

  • Clarity: A clear vision, direction, and well organized plan are essential for making progress. While our plan will evolve over time as we learn more from our users and partners, at all times we communicate what we’re learning and why any changes are being made.

Interview Process

Our team and interview process want to help you show your best self.  We’ll dive into past projects and simulate working together via pair programming, writing tech specs collaboratively, and talking through decisions (no leetcode or whiteboard exercises). Our interview process is two rounds:

  • 30 minute introduction call (we’ll demo Nut and discuss the company’s plans)

  • A virtual 2 hour on-site

I’ll be your main point of contact.  You’ll meet me and two of our engineers and have time at each stage to ask questions.

Benefits

  • Competitive salary and equity

  • 20 days PTO

  • If you’re in the US, top notch health insurance for medical, dental, and vision.

  • Generous equipment, software, and office furniture budget.

Replay provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

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$120000K

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What You Should Know About Applied ML - Code Analysis, Replay

Hey there! I’m Brian, the Founder and CEO at Replay, and we are on the hunt for an Applied ML Engineer specializing in Code Analysis. At Replay, we’ve recently launched an innovative API and the no-code tool Nut, both focused on empowering AI to help developers troubleshoot and improve their application code. With solid backing from top investors like Andreessen Horowitz and IA Ventures, our small yet incredibly passionate team is eager to grow and tackle big challenges in AI-enabled debugging. As an Applied ML Engineer, you'll collaborate closely with me to build technology that helps identify and resolve problems in code execution recordings, ensuring a smoother experience for developers. Your role will encompass leveraging large language models (LLMs) and traditional analysis techniques to enhance our offerings, reviewing user-reported issues, and designing solutions to improve AI performance. We are looking for someone with a background in AI-based technology development, strong programming skills (TypeScript and React experience is a plus), and a love for building effective tools that make life easier for developers. Join us, and let’s create powerful AI that makes coding an absolute breeze!

Frequently Asked Questions (FAQs) for Applied ML - Code Analysis Role at Replay
What does an Applied ML Engineer specializing in Code Analysis at Replay do?

At Replay, an Applied ML Engineer focusing on Code Analysis plays a critical role in enhancing our API's ability to identify and resolve issues in application code. You'll work with advanced AI tools to refine debugging processes and help developers write better code, addressing challenges that arise from AI-generated insights.

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What qualifications are needed for the Applied ML Engineer - Code Analysis position at Replay?

To thrive in the Applied ML Engineer - Code Analysis role at Replay, candidates should have a Bachelor's, Master's, or PhD in Computer Science or equivalent experience. A track record of building AI technology and familiarity with TypeScript and React are highly desired, along with strong communication skills for effective collaboration.

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What are the responsibilities of an Applied ML Engineer - Code Analysis at Replay?

The responsibilities of an Applied ML Engineer - Code Analysis at Replay include utilizing LLMs alongside traditional program analysis techniques, reviewing user reports to identify patterns, designing AI improvements, and optimizing our API’s reliability. You’ll also be instrumental in advancing the technology that enhances developer productivity.

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What is the work culture like for an Applied ML Engineer at Replay?

At Replay, we foster a remote work culture rooted in respect, efficiency, supportiveness, and clarity. As an Applied ML Engineer, you'll collaborate closely with your peers, engage in daily syncs, and have the freedom to innovate—making sure our code solutions meet the evolving needs of developers.

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How does Replay's interview process look for the Applied ML Engineer - Code Analysis role?

The interview process for the Applied ML Engineer - Code Analysis position at Replay is designed to be collaborative and insightful. It consists of a 30-minute introduction call followed by a two-hour virtual on-site interview where candidates can engage in pair programming and tech discussions with the CEO and engineers.

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Common Interview Questions for Applied ML - Code Analysis
Can you describe your experience with AI technology in code analysis?

When responding, talk about specific projects where you've utilized AI methodologies to improve code quality. Highlight any tools or techniques you've implemented, ensuring to mention measurable outcomes or enhancements to efficiency.

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How do you approach debugging AI-generated code?

Discuss your systematic approach to debugging, including using both traditional and AI-based methods. Share an example of a challenging bug you encountered and how you resolved it, showcasing your analytical skills.

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What programming languages and frameworks are you most comfortable with?

Mention your proficiency in relevant languages, particularly TypeScript and frameworks like React, as sought after by Replay. Provide examples of projects where these technologies were pivotal to your success.

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How do you handle collaboration in a remote work environment?

Share your strategies for effective remote collaboration, such as using tools for communication and project management. Highlight your ability to stay aligned with team goals and maintain open lines of communication.

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What methodologies do you use for program analysis?

Describe the methodologies you’re familiar with, including control dependency analysis and dataflow analysis. Explain how you’ve applied these techniques to improve code clarity and functionality.

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How do you keep up with the latest advancements in AI and ML?

Talk about your commitment to continuous learning, such as following tech blogs, attending webinars, or participating in AI-related courses and communities. Mention specific resources or thought leaders you follow.

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What strategies do you use to optimize API performance?

Discuss techniques you've utilized in the past to analyze and enhance API performance, such as load testing, user feedback analysis, and iterative improvements to ensure reliability and speed.

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Can you provide an example of a successful project involving AI tools?

Share a detailed account of a project where you implemented AI tools successfully, including your role, the challenges faced, and the outcome. Emphasize how the results benefited users or the overall team dynamics.

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What excites you most about working with AI in code analysis?

Reflect on your passion for blending creativity and technology in solving complex problems. Share your vision for how AI can revolutionize debugging processes and improve developer experiences.

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How would you prioritize tasks when working on multiple projects?

Explain your approach to task management, such as using prioritization frameworks and maintaining consistent communication with stakeholders. Provide an example of how you successfully juggled competing deadlines in a previous role.

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Full-time, remote
DATE POSTED
March 12, 2025

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