ML Engineer is a Machine Learning Engineer role (full-time). with Catalyst Labs. in CUPERTINO, US. Imported listing (source: linkedin.com). Apply on the employer's site (linkedin.com).
Imported listing (source: linkedin.com) · Apply on linkedin.com
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Imported job description
Sourced from linkedin.com
Build and deploy production-grade ML systems for a VC-backed startup revolutionizing outside sales with AI. Work on audio data, LLMs, and real-time inference, owning the full model lifecycle. Collaborate with cross-functional teams and directly with customers to deliver impactful solutions.
Responsibilities
Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecycle.
Architect and deliver AI-powered solutions for natural speech interaction and real-time audio understanding.
Develop and optimize ML models focused on audio data to extract business-critical insights.
Build agents capable of operating natively on real-world audio inputs.
Collaborate with cross-functional teams to shape the AI stack and drive innovation in LLM and audio ML.
Work directly with customers to identify needs and deliver real-world solutions.
Handle the entire AI lifecycle including data acquisition, training, deployment, and monitoring.
Participate in continuous improvement of ML infrastructure and processes.
Requirements
Bachelor's or Master's degree in Computer Science, Machine Learning, or related field.
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.