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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 CHICAGO, US. Imported listing (source: linkedin.com). Apply on the employer's site (linkedin.com).
Imported listing (source: linkedin.com) · Apply on linkedin.com
CHICAGO · 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
Build and deploy production-grade ML systems for a Tier 1 VC-backed startup. Focus on audio data and real-time speech interaction to optimize field sales teams.
Responsibilities
- Design, build, and deploy production-grade ML systems. Architect AI solutions for natural speech interaction. Develop and optimize ML models on audio data. Build agents for real-world audio inputs. Collaborate cross-functionally on AI stack. Handle entire ML lifecycle from data acquisition to monitoring.
Requirements
- Bachelor's or Master's in CS, ML, AI or related. 1-6 years ML engineering experience. Strong Python skills. Experience with PyTorch or TensorFlow. Familiarity with AWS. Understanding of data pipelines, real-time inference, model monitoring.
Nice to Have
- TypeScript, FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, S3.
Tech Stack
PythonLLMOpenAI
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.
