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This listing was closed on Jul 17, 2026.
Browse Open JobsML Engineer
NEW YORK · US
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Full-time
MID
About the Role
Design, build, and deploy production-grade ML systems with end-to-end ownership. The role focuses on AI-powered solutions for natural speech interaction and real-time audio understanding, using cutting-edge AI to optimize field sales teams' customer interactions.
Responsibilities
- Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecycle.
- Architect and deliver AI-powered solutions for natural speech interaction and real-time audio understanding.
- Develop and optimize ML models focused on audio data to extract business-critical insights.
- Build agents capable of operating natively on real-world audio inputs.
- Collaborate with cross-functional teams to shape AI stack and drive innovation in LLM and audio ML applications.
- Work directly with customers to identify needs and deliver impactful solutions.
- Handle the entire AI lifecycle: data acquisition, preprocessing, model training, deployment, inference, and monitoring.
- Participate in continuous improvement of ML infrastructure and processes.
Requirements
- Bachelor's or Master's in Computer Science, Machine Learning, AI, or related field.
- 1-6 years of professional experience in ML engineering.
- Strong programming skills in Python (TypeScript is a plus).
Catalyst Labs
San Francisco · US · 1+ employees
Catalyst Venture Labs provides penetration testing, cybersecurity, and secure application development services tailored for early-stage and Series D startups. They focus on embedding security into product roadmaps for regulated industries.
