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This listing was closed on Jul 18, 2026.
Browse Open JobsML Engineer
Summary by AIEngineer.careers
ML Engineer is a Machine Learning Engineer role (full-time). with Catalyst Labs. in DALLAS, US. Imported listing (source: linkedin.com). Apply on the employer's site (linkedin.com).
Imported listing (source: linkedin.com) · Apply on linkedin.com
DALLAS · US
—
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from linkedin.com
Catalyst Labs seeks an ML Engineer for a VC-backed startup in New York. The role involves building production-grade ML systems for audio/speech AI, with end-to-end ownership from data to deployment. You'll work on real-world audio understanding, LLMs, and customer-facing solutions.
Responsibilities
- Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecycle
- Architect AI-powered solutions for natural speech interaction and real-time audio understanding
- Develop and optimize ML models for audio data to extract insights from unstructured voice data
- Build agents native to real-world audio inputs
- Collaborate cross-functionally to shape the AI stack and drive innovation in LLM and audio ML
- Work directly with customers to identify needs and deliver impactful solutions
- Handle the entire AI lifecycle: data acquisition, preprocessing, training, deployment, inference, monitoring
- Participate in continuous improvement of ML infrastructure and processes
Requirements
- Bachelor's or Master's in CS, ML, AI, or related field
- 1-6 years of professional experience in ML engineering
Catalyst Labs
Baltimore · US · 1+ employees
Catalyst Labs is a marketing services agency that focuses on digital strategy, branding, and content creation to help brands evolve and grow. Note: Multiple entities operate under this name; this description reflects the marketing agency profile.
