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ML Engineer

May 29, 2026

About The Job ML Engineer Our Client Is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside sales and service teams work. Their AI technology captures and analyzes real-world conversations, providing full visibility into every customer interaction without the need for traditional ride-alongs. By turning field conversations into searchable, actionable data, they empower teams to coach more effectively, close more deals, and boost average ticket sizes. Combining cutting-edge AI with a deep understanding of field sales dynamics, this company is redefining how businesses learn from and optimize their in-person customer experiences. About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that’s deeply embedded in our clients’ recruitment operations. We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Location: New York, NY Work type: Full Time, Compensation: above market base + bonus + equity Roles & Responsibilities <ul><li>Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecyclefrom conception to deployment and maintenance.</li><li>Architect and deliver AI-powered solutions enabling natural speech interaction and real-time audio understanding.</li><li>Develop and optimize ML models focused on audio data to extract business-critical insights from previously unstructured voice data.</li><li>Build agents capable of operating natively on real-world audio inputs.</li><li>Collaborate with cross-functional teams to shape the foundations of the AI stack, improve tooling, and drive innovation in LLM and audio ML applications.</li><li>Work directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions.</li><li>Handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments.</li><li>Participate in continuous improvement of the ML infrastructure and processes for scalability and performance. </li></ul>Qualifications <ul><li>Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.</li><li>1-6 years of professional experience in ML engineering.</li><li>Strong programming skills in Python (TypeScript experience is a plus).</li><li>Hands-on experience with ML frameworks such as PyTorch or TensorFlow.</li><li>Familiarity with cloud environments and infrastructure (preferably AWS).</li><li>Strong understanding of data pipeline design, real-time inference, and model monitoring.</li><li>Excellent communication skills with the ability to engage directly with customers and stakeholders. </li></ul>Core Experience <ul><li>Proven experience building and deploying ML models into production environments.</li><li>Demonstrated ability to own the full model lifecyclefrom data ingestion and model development to deployment and monitoring.</li><li>Experience with audio-focused ML projects or similar domains involving unstructured data.</li><li>Proficiency in building scalable data pipelines for model training and evaluation.</li><li>Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus.</li><li>Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and deployment best practices.</li></ul>

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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

When you're working on a remote team, there's no way to chat in the hallway between meetings or catch up on the latest project during an office carpool. Therefore, virtual communication will be absolutely essential to get your work done...

3. WHAT IS "WORKING REMOTE" REALLY FOR YOU?

Many people want to work remotely because of the flexibility it allows. You can work anywhere and at any time of the day...

4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

5. HOW DO YOU PROCESS INFORMATION?

Several years ago, I was working in a team to plan a big event. My supervisor made us all work as a team before the big day. One of our activities has been to find out how each of us processes information...

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

7. HOW DO YOU ORGANIZE FILES, LINKS, AND TABS ON YOUR COMPUTER?

Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

8. HOW TO PRIORITIZE WORK?

The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

9. HOW DO YOU PREPARE FOR A MEETING AND PREPARE A MEETING? WHAT DO YOU SEE HAPPENING DURING THE MEETING?

Just as communication is essential when working remotely, so is organization. Because you won't have those opportunities in the elevator or a casual conversation in the lunchroom, you should take advantage of the little time you have in a video or phone conference...

10. HOW DO YOU USE TECHNOLOGY ON A DAILY BASIS, IN YOUR WORK AND FOR YOUR PLEASURE?

This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...