Senior Machine Learning Engineer (LLM/Audio/Voice AI)
Design and deploy high-performance ML infrastructure, train LLMs and audio models, and work on real-world, latency-sensitive conditions. Collaborative environment with 80%+ onsite time expected. Opportunity to make outsized impact on a rapidly growing product.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
Senior Machine Learning Engineer (LLM / Audio / Voice AI)
$200,000–$300,000 + Equity
San Francisco Bay Area (Relocation + Sponsorship Available for Exceptional Talent)
Permanent
Our client is a rapidly scaling AI startup operating at $1M+ ARR per employee, building the next generation of real-time voice automation. They’re now hiring exceptionally talented (Doesn't matter the years of experience) ML Engineer to help push the boundaries of speech, audio, and LLM-driven systems.
This role sits at the core of their product:
- Training LLMs and audio models
- Designing high-performance ML infrastructure
- Deploying models that must operate reliably under real-world, latency-sensitive conditions
- Work end-to-end - experimentation, evaluation, productionisation, and continuous improvement
The environment is fast-paced, deeply technical, and highly collaborative, with 80%+ onsite time expected. This is a true startup role: long hours, high ownership and reward, fast iteration, and the chance to make outsized impact on a rapidly growing product used by hundreds of thousands of customers.
They’re looking for engineers with strong academic foundations and demonstrated technical excellence (advanced degrees or standout research/engineering experience), plus hands-on experience shipping ML systems in demanding environments.
If you thrive in ambiguity, love building real-world AI systems, and want to help shape a high-velocity ML organisation from the ground up, this is the opportunity.
Apply now or reach out for details or to explore the role confidentially.