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This listing was closed on Jul 17, 2026.
Browse Open JobsML Engineer
Summary by AIEngineer.careers
ML Engineer is a Machine Learning Engineer role (full-time). with Catalyst Labs. in SEATTLE, US. Imported listing (source: linkedin.com). Apply on the employer's site (linkedin.com).
Imported listing (source: linkedin.com) · Apply on linkedin.com
SEATTLE · 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
A rapidly growing VC-backed startup in New York is seeking an ML Engineer to design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecycle. The role involves developing AI-powered solutions for natural speech interaction and real-time audio understanding, working with cross-functional teams, and handling the entire AI lifecycle from data acquisition to production monitoring.
Responsibilities
- Design, build, and deploy production-grade ML systems
- Architect and deliver AI-powered solutions for natural speech interaction
- Develop and optimize ML models for audio data
- Build agents operating on real-world audio
- Collaborate with cross-functional teams to shape AI stack
- Work directly with customers to gather feedback
- Handle entire AI lifecycle: data acquisition, training, deployment, monitoring
- Continuously improve ML infrastructure
Requirements
- Bachelor's or Master's in CS, ML, AI or related field
- 1-6 years of professional ML engineering experience
- Strong Python skills
- Hands-on experience with PyTorch or TensorFlow
- Familiarity with cloud environments (preferably AWS)
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.
