Search
Go
This job is no longer accepting applications
This listing was closed on Jul 18, 2026.
Browse Open JobsML Engineer
CHICAGO · US
—
Full-time
MID
About the Role
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
PythonLLMOpenAIPyTorchTensorFlowAWSFastAPI
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.
