ML Engineer is a Machine Learning Engineer role (full-time). with Catalyst Labs. in PALO ALTO, 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
ML Engineer at a VC-backed startup building AI-powered solutions for field sales teams. The role involves designing and deploying production ML systems for audio data analysis and natural speech interaction.
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 applications.
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, AI, 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.