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Head of Machine Learning

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Onsite

Head of Machine Learning

5V Tech

Head of Machine Learning

Skills

Deep LearningPythonPyTorchMachine LearningAI

3 months ago

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Important information


Contract type:

Permanent

Location:

San Francisco, CA, USA

Work mode:

Onsite

Published on:

7 August 2026

What they need


Head of Applied ML – Audio AI

  • San Francisco Bay Area (Hybrid)
  • Full-Time Permanent
  • Salary: Competitive (DOE)
  • Total Comp: Equity, Bonus, Medical, Dental, Vision, 401(k) and more

A well-funded, Silicon Valley-based deep tech company is building next-generation AI capabilities for on-device audio, enabling low-latency, energy-efficient inference at the edge. As they scale their engineering organisation, they are looking for a leader to own the development and deployment of their audio AI models, while building and growing the team behind it.

Key Responsibilities:

Lead and grow a team of deep learning and DSP engineers, setting technical direction and hiring priorities Own the applied ML roadmap for audio, spanning speech enhancement, noise reduction, echo cancellation, beamforming, sound event detection, voice identification, and more Drive model compression, efficiency, and optimisation strategy for deployment on low-power hardware Stay hands-on: architect, prototype, and review models alongside the team, from research through to production deployment Set best practices for leveraging multi-sensor data to improve algorithm performance in challenging real-world environments Partner with customers to shape tailored audio AI solutions Work cross-functionally with hardware, product, and business teams to align ML strategy with company roadmap

Ideal Profile:

Significant experience in deep learning and/or DSP engineering, with a track record of leading or mentoring a team Strong Python and PyTorch skills across model training, evaluation, and optimisation workflows Solid understanding of DSP concepts and audio signal processing techniques Proven experience with model compression and efficient deployment on embedded or edge platforms Track record of taking audio ML models from research through to production at scale Background in Computer Science, Electrical Engineering, Mathematics, or related field (BS, MS, PhD or equivalent) Passion for solving hard problems and building high-performing teams in a fast-paced, innovative environment

This is a rare opportunity to lead applied ML at the intersection of deep learning, model optimisation, and embedded AI, shaping the team and technology that brings intelligent audio capabilities to everyday devices at scale.

APPLY NOW to discuss further details, including full company information.

5V Tech are acting as an Employment Agency for the purposes of this position. We offer a reward scheme if you can recommend someone for this role — $250 for you and $250 to a charity of your choice. 5V Tech are recognised talent solutions experts within IoT and Deep Tech, working across Europe, the UK, and North America.

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