Audio & Speech Applied Machine Learning Engineer Join to apply for the Audio & Speech Applied Machine Learning Engineer role at Hunter Careers
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San Francisco, California, United States or New York City, New York, United States - On-Site $200,000-$250,000 per year Full-Time We're an AI-native career platform connecting candidates with the best career opportunities. Our AI career agent, Hunter, works 24/7 to match talented professionals, like yourself, with roles that align perfectly with their skills, contract preferences, and career aspirations, both through our direct client network and broader market opportunities. About the role Join a dynamic startup focused on advancing generative AI models in the field of speech and audio. As an Audio & Speech Applied Machine Learning Engineer, you will spearhead end-to-end machine learning pipelines—from research to real-world deployment. Work alongside a collaborative team in an onsite role based in San Francisco or New York City, pushing the boundaries of speech and audio processing with cutting-edge technology. Responsibilities
Research and develop advanced machine learning models for speech and audio applications
Translate the latest research findings into production-grade Python code
Execute full machine learning pipelines, including proof of concept (PoC) and production deployment in cloud environments like AWS or GCP
Build robust APIs and inference systems to extract meaningful insights from complex datasets
Collaborate with operations teams to source and structure high-quality training data
Design resilient cloud-based infrastructure for training, evaluation, and inference
Drive the company’s machine learning roadmap, contributing to technical research and tooling investments Requirements
Must be located within a 50-mile radius of San Francisco, CA or New York City, NY, or willing to relocate
Must be authorized to work in the U.S. without current or future employer sponsorship
Minimum of 5 years of experience in machine learning, with at least 2 years specializing in DSP/audio machine learning
Proven ability to deliver machine learning systems end-to-end, from research to production
Proficient in Python and deep learning frameworks such as PyTorch
Hands-on expertise with cloud environments like AWS or GCP for model training and production deployment Preferred skills
Experience with training generative AI models
Advanced degrees (Masters or PhD) in Computer Science, Machine Learning, or a related field
Leadership experience driving technical directions for ML teams
Knowledge of classical and ML-based audio signal processing systems
Startup experience, particularly in zero-to-one product development Application process The first step is a short video call with Holly, our AI recruiter, who works closely with the hiring team on this role. Hunter, your personal AI career agent, will get in touch to assist you with your application and support you in finding future opportunities as well. He will also help coordinate next steps in the process.
Seniority level Seniority level Mid-Senior level
Employment type Employment type Full-time
Job function Job function Engineering, Research, and Information Technology
Industries IT Services and IT Consulting
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Hunter Careers is hiring: Audio & Speech Applied Machine Learning...