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Director Speech Recognition Engineer Jobs (NOW HIRING)

Maple AI, Inc

ML Research Engineer

New York, NY · On-site

$120K - $250K/yr

Optimize speech recognition (ASR) , large language models (LLMs) , and text-to-speech (TTS) for ... Engineers here talk to users, design features, and ship fast * We value clarity over process. You ...

Parlance Corporation

Sr. Software Engineer

$125K - $165K/yr

Parlance delivers speech recognition as a managed service. That means we blend intelligent speech ... As a Senior Software Engineer, you will be a key player in designing, developing, and deploying ...

Capacity

Software Engineer III, Speech Systems

$115K - $158K/yr

... recognition, speech synthesis, Natural Language Processing and biometrics, working primarily in C ... Direct experience with Networking, RTP, SIP/VOIP protocol implementation or debugging in production ...

Kotoba

Artificial Intelligence Researcher

Alameda, CA · On-site

Work with research, product, and infrastructure engineers to move promising research into our ... Research experience in full-duplex speech-to-speech, speech recognition, or speech generation ...

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How much do director speech recognition engineer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for director speech recognition engineer in the United States is $108,675.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What is the difference between Director Speech Recognition Engineer vs Speech Recognition Engineer?

AspectDirector Speech Recognition EngineerSpeech Recognition Engineer
CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related; often with leadership experienceBachelor's or Master's in relevant fields; specialized technical skills
Work EnvironmentLeadership roles overseeing teams, strategic planning, project managementHands-on development, algorithm design, coding, testing
Industry UsageUsed in companies developing speech recognition products, AI, and voice assistantsFocuses on building and improving speech recognition models and systems

The main difference is that the Director Speech Recognition Engineer leads teams and manages projects, while the Speech Recognition Engineer focuses on technical development and implementation. Both roles require strong technical skills, but the director also emphasizes leadership and strategic planning.

What cities are hiring for Director Speech Recognition Engineer jobs?

Cities with the most Director Speech Recognition Engineer job openings:

What are the most commonly searched types of Speech Recognition Engineer jobs?

The most popular types of Speech Recognition Engineer jobs are:

What states have the most Director Speech Recognition Engineer jobs?

States with the most job openings for Director Speech Recognition Engineer jobs include:

Director Speech Recognition Engineer jobs near you

ML Research Engineer

Maple AI, Inc

New York, NY • On-site

$120K - $250K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago

Job description

Hi I'm Aidan, founder of Maple.
At Maple, we're building AI agents that work for restaurants. These agents answer calls, take orders, book appointments, and handle real customer interactions over natural voice.
But our bigger mission goes deeper: we're building automated ontologies that model how businesses actually operate - their services, workflows, constraints, and language - so our agents can adapt to them instantly. We meet businesses where they are, not where software wants them to be.
We have many customers, strong revenue growth, years of runway, and backing from world-class investors. I'll share more once we meet.
About the Role
As an ML Research Engineer at Maple, you'll be a part of our core product team transforming cutting-edge research into production-ready voice agents, serving millions of interactions for local businesses. Collaborate with experts from Google Brain, Two Sigma, Stanford, MIT, Columbia, and IBM, rapidly deploying advanced models and systems that directly impact small businesses.
We work in person, 5 days a week in our NYC office. Collaboration here is fast, noisy (in the best way), and high-trust. We move quickly, break things intentionally, and fix them just as fast.
What You'll Do
  • Optimize speech recognition (ASR), large language models (LLMs), and text-to-speech (TTS) for real-world use, ensuring accuracy in diverse, noisy environments.
  • Fine-tune LLMs with retrieval-augmented generation (RAG), reinforcement learning (RL), and prompt engineering for dynamic, context-aware conversations.
  • Integrate AI components into autonomous agents capable of complex tasks like scheduling, order-taking, and issue resolution.
  • Create human-in-the-loop and automated systems to monitor performance, detect anomalies, and continuously improve models from real-world feedback.
  • Develop pipelines to construct knowledge graphs from business data, powering adaptive AI interactions.
  • Work with infrastructure teams to scale models efficiently across GPU/TPU clusters and edge devices, minimizing latency.
  • Manage rapid experimentation, training, and highly optimized production inference.
  • Lead evaluations, error analysis, and iterative improvements to maintain robustness and scalability.
  • Balance research innovation with practical usability by closely working with product and customer teams.
  • Publish research, contribute to open-source, and present at industry-leading conferences.

What We're Looking For
  • 3-7+ years deploying impactful ML models, ideally in voice, NLP, knowledge graphs, or agent systems.
  • Deep knowledge in speech recognition, language models, RL/dialogue systems, TTS, ontology systems, or agent orchestration.
  • Proficiency in PyTorch or JAX; optimization experience with CUDA/Triton preferred.
  • Proven ability to minimize latency and resource use on GPUs/TPUs or edge hardware.
  • Strong data-driven approach with measurable improvements.
  • Passion for creating intuitive, helpful, and frustration-free AI experiences.
  • BS, MS, or PhD in Computer Science, Electrical Engineering, Mathematics, or equivalent practical expertise.

How we work
  • We optimize for leverage. That means great internal tooling, fast CI/CD, and code that scales across many customer types
  • We believe in deep ownership. Engineers here talk to users, design features, and ship fast
  • We value clarity over process. You'll spend most of your day building, not waiting on decisions
  • We move in person. We're a tight-knit team that moves fast and solves problems together

What we offer
  • Competitive salary + meaningful equity
  • A real product with real usage and growing revenue
  • Strong In-person culture, fast feedback loops, and zero bureaucracy
  • A small team that feels like a founding team
  • Full health, dental, vision, 401k, life insurance, and unlimited PTO
  • Tools budget, coffee budget, whatever-you-need-to-be-great budget

Want to help reimagine how software works for real-world businesses? Let's talk.

Apply