ML Engineer: Real-Time Audio AI for Field Sales

Catalyst Labs

Houston (TX)

In loco

USD 120.000 - 180.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

Catalyst Labs, a New York-based startup, is seeking an ML Engineer to design, build, and deploy production-grade ML systems focused on audio data and real-time inference. You will own the full model lifecycle from data collection to deployment and monitoring.

You will collaborate with cross-functional teams and work with cloud infrastructure (AWS) and tools like FastAPI, OpenAI APIs, Baseten, and LiveKit to deliver practical AI solutions for clients.

Competenze

  • Bachelor’s or Master’s degree in Computer Science, ML, AI, or related field.
  • 1–6 years of professional ML engineering experience.
  • Strong Python programming and experience with ML frameworks.

Mansioni

  • Design, build, and deploy production-grade ML systems with end-to-end ownership.
  • Architect AI-powered solutions for natural speech interaction and real-time audio understanding.
  • Develop and optimize ML models to extract insights from unstructured voice data.
  • Collaborate with cross-functional teams to shape the AI stack and tooling.
  • Work directly with customers to identify needs and deliver impactful solutions.
  • Handle data acquisition, preprocessing, training, deployment, inference, and monitoring.

Conoscenze

Python
ML Engineering
Data Pipelines
Real-time Inference
AWS
PyTorch
TensorFlow
OpenAI APIs

Formazione

Bachelor’s or Master’s in CS/ML

Strumenti

FastAPI
OpenAI APIs
Baseten
LiteLLM
LiveKit
PostgreSQL
Redis
S3

Descrizione del lavoro

Catalyst Labs, a New York-based startup, is seeking an ML Engineer to design, build, and deploy production-grade ML systems focused on audio data and real-time inference. You will own the full model lifecycle from data collection to deployment and monitoring.

You will collaborate with cross-functional teams and work with cloud infrastructure (AWS) and tools like FastAPI, OpenAI APIs, Baseten, and LiveKit to deliver practical AI solutions for clients.

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