Machine Learning Engineer, Speech LLM Training

PLAUD INC.
San Francisco, CA, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$200,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Computer Clusters Program Optimization Codecs Software Debugging Performance Tuning Signal Processing Reinforcement Learning Pytorch Large Language Models Generative AI Kubernetes
+1 more
TensorRT

Requirements

  • Have a proven track record of building and training large-scale audio or speech models from the ground up, whether that involves unified SpeechLLMs, advanced ASR, expressive TTS, or generative audio architectures.
  • Love living at the intersection of research and engineering, eager to design novel sequence modeling architectures one day and debug distributed training clusters the next.
  • Are highly comfortable traversing the entire stack-from fundamental signal processing and raw acoustic representations to massive foundation model training and edge-device optimization.
  • Possess deep expertise in PyTorch or JAX, with battle scars from optimizing large-scale distributed training runs, managing GPU memory utilization, and resolving complex performance bottlenecks.
  • Thrive in a fast-paced, high-growth startup environment where you are expected to take extreme ownership of ambiguous problems and drive them directly into production.
  • Are obsessed with building AI systems that natively understand and generate speech, ultimately creating a hardware-software AI companion that amplifies human productivity.

Strong candidates may also have experience with:

  • Text-based LLMs: Hands-on experience with core text-based Large Language Model pretraining, instruction tuning, or RLHF.
  • Neural Audio Codecs: Hands-on experience designing and training state-of-the-art neural audio codecs for streamable, high-fidelity audio.
  • Generative Architectures: Designing and training diffusion models, flow matching, or autoregressive architectures specifically for speech and voice generation.
  • Alignment & Steerability: Applying Reinforcement Learning (RL) techniques (like RLHF or GRPO) to improve conversational cadence, steerability, and alignment in foundation models.
  • Deep System Optimization: End-to-end inference and performance optimization, leveraging high-throughput serving frameworks (e.g., vLLM, TensorRT-LLM, SGLang) to minimize latency for real-time cloud streaming.
  • Large-Scale Infrastructure: Managing massive GPU clusters, utilizing advanced distributed training frameworks (e.g., FSDP, DeepSpeed), and navigating orchestration tools like Kubernetes.

Benefits & conditions

  • Founding Team Initiative: Opportunity to be an early, foundational member of our core SpeechLLM lab, with meaningful ownership and impact on a fast-growing startup.
  • Competitive Compensation: $200K - $540K base salary + performance bonus + Equity.
  • Comprehensive Benefits: Top-tier healthcare for employees and dependents, including dental and vision, and a generous employer subsidy.
  • Retirement Planning: 401(k) plan for full-time employees with company matching.
  • Paid Time Off: Unlimited PTO, plus 13 paid holidays.
  • New Parent Leave: 12 weeks of paid time off to spend time with your new family, regardless of gender.
  • Hybrid Office: Minimum of 3x in-office per week to foster highly collaborative, fast-paced research.
  • Gear & Perks: Choice of top-of-the-line laptops/workstations, annual offsites, and a fully stocked office.

About the company

Plaud is building the world’s most trusted AI work companion for professionals to elevate productivity and performance through note-taking solutions, loved by over 1,500,000 users worldwide since 2023. With a mission to amplify human intelligence, Plaud is building the next-generation intelligence infrastructure and interfaces to capture, extract, and utilize what you say, hear, see, and think.

Plaud Inc. is a Delaware-incorporated, San Francisco-based company pushing the boundary of human-AI intelligence through a hardware-software combination. With SOC 2, HIPAA, GDPR, ISO27001, ISO27701, and EN18031 compliance, Plaud is committed to the highest standards of data security and privacy protection.

To learn more about Plaud, please visit https://www.Plaud.ai and follow along on Instagram, X, Facebook, LinkedIn, and YouTube

Why You Should Join Us

Plaud is building the next generation intelligence infrastructure and interfaces to capture, extract, and utilize intelligence from what people say, hear, see, and think.

  • Plaud is a bootstrapped, skyrocketing, profitable company with a $250M revenue run rate achieved in just three years.
  • Define the next-gen paradigm for human-AI interaction.
  • Gain exposure to cutting-edge AI for Pro tools and play a direct role in our global expansion.
  • Work with passionate teammates who value innovation, collaboration, and customer success.
  • Grow your career in a culture that champions continuous learning and fast career development.
  • Market-competitive compensation, global exposure, and a vibrant, creativity-fueled work atmosphere.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:09 min

Integrating speech models using the Twilio real-time SDK

Marius Obert Marius Obert · Coffee With Developers

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Preventing remote code execution in PyTorch models

Balázs Kiss · World Congress 2023

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Essential phases in building and refining language models

Anshul Jindal Anshul Jindal +1 · World Congress 2025

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Applying large language models to infrastructure tasks

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6:16 min

Scaling topic partitions and configurations to maximize throughput

Kirill Kulikov · LIVE

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Core libraries driving inference engines and multi-GPU networking

Adolf Hohl Adolf Hohl · World Congress 2024

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