Machine Learning Engineer

About the Job - Machine Learning Engineer

Our Client

Our client is an innovative and rapidly growing startup backed by Tier 1 venture capital in New York. With $60 million in funding, they are transforming the operations of sales and service teams through groundbreaking AI technology. Their solution captures and analyzes real-world conversations, offering complete visibility into customer interactions without relying on traditional ride-alongs.

By converting field conversations into searchable and actionable data, they enable teams to enhance coaching, close more deals, and increase average ticket sizes. Their combination of advanced AI and expertise in field sales dynamics is reshaping how businesses learn from and optimize customer interactions in-person.

About Us

Catalyst Labs is a premier talent agency focusing on Applied AI, Machine Learning, and Data Science. We take pride in being intricately involved in our clients' recruitment processes, working alongside Founders, CTOs, and Heads of AI to drive the next wave of applied intelligence, from model optimization to productized AI workflows. We are committed to fostering relationships that align technical skills with creative problem-solving and long-term career growth in the evolving landscape of intelligent systems.

Location: New York, NY Work Type: Full Time Compensation: Above market base + bonus + equity

Roles & Responsibilities

• Design, build, and deploy production-grade machine learning systems while managing the entire model lifecycle from conception to maintenance.
• Architect and implement AI-driven solutions for natural speech interaction and real-time audio understanding.
• Develop and fine-tune machine learning models focused on audio data to derive business-critical insights from unstructured voice data.
• Create agents capable of functioning effectively with real-world audio inputs.
• Collaborate with cross-functional teams to establish a robust AI stack, enhance tooling, and promote innovation in large language model (LLM) and audio ML applications.
• Engage directly with customers to identify needs, gather feedback, and deliver impactful, real-world solutions.
• Oversee the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in live environments.
• Contribute to continuous enhancements of the ML infrastructure and processes for scalability and performance.

Qualifications

• Bachelor's or master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• 1-6 years of professional experience in machine learning engineering.
• Strong programming skills in Python (TypeScript experience is a plus).
• Hands-on experience with machine learning frameworks such as PyTorch or TensorFlow.
• Familiarity with cloud environments and infrastructure, preferably AWS.
• Robust understanding of data pipeline design, real-time inference, and model monitoring.
• Excellent communication skills with the ability to work directly with customers and stakeholders.

Core Experience

• Proven track record of building and deploying machine learning models in production settings.
• Demonstrated capability to manage the complete model lifecycle from data ingestion to deployment and monitoring.
• Experience with audio-centric machine learning projects or related domains involving unstructured data.
• Expertise in creating scalable data pipelines for model training and evaluation.
• Familiarity with tools and technologies such as FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus.
• Strong grasp of machine learning systems architecture, feature engineering, evaluation strategies, and deployment best practices.