Maple
Join to apply for the
ML Research Engineer
role at
Maple Join to apply for the
ML Research Engineer
role at
Maple Get AI-powered advice on this job and more exclusive features. This range is provided by Maple. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$120,000.00/yr - $250,000.00/yr Hi
I’m Aidan, founder of Maple.
At Maple, we’re building AI agents that work for local businesses: restaurants, salons, repair shops, and everything in between. 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.
Compensation Range: $120K - $250K
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Maple by 2x Sign in to set job alerts for “Research Engineer” roles.
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ML Research Engineer
role at
Maple Join to apply for the
ML Research Engineer
role at
Maple Get AI-powered advice on this job and more exclusive features. This range is provided by Maple. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$120,000.00/yr - $250,000.00/yr Hi
I’m Aidan, founder of Maple.
At Maple, we’re building AI agents that work for local businesses: restaurants, salons, repair shops, and everything in between. 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.
Compensation Range: $120K - $250K
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Maple by 2x Sign in to set job alerts for “Research Engineer” roles.
Research and Development Engineer I/II - Process Development
Brooklyn, NY $70,000.00-$120,000.00 2 months ago New York City Metropolitan Area $200,000.00-$350,000.00 2 weeks ago New York, NY $213,600.00-$384,000.00 1 week ago New York, NY $120,000.00-$180,000.00 18 hours ago New York City Metropolitan Area $99,461.00-$128,329.00 1 week ago New York, NY $120,000.00-$210,000.00 5 months ago New York City Metropolitan Area $80,000.00-$100,000.00 1 week ago Biological\/Chemical Scientist\/Engineer 1 - Newark, DE, 19702
New York City Metropolitan Area 2 weeks ago New York, NY $120,000.00-$180,000.00 5 months ago New York, NY $177,000.00-$251,000.00 5 days ago Research and Development Medical Device Engineer
Brooklyn, NY $60,000.00-$160,000.00 2 months ago Biological\/Chemical Scientist\/Engineer 2 - Newark, DE, 19702
New York, NY $150,000.00-$230,000.00 1 month ago ML Research Scientist, Foundation Models (Senior / Staff / Principal)
New York, NY $78,155.00-$90,000.00 2 weeks ago Preclinical Principal Scientist, Research & Development
Brooklyn, NY $140,000.00-$240,000.00 1 month ago New York, NY $175,000.00-$265,000.00 5 days ago Carlstadt, NJ $95,000.00-$154,700.00 1 month ago New York, NY $75,000.00-$225,000.00 2 months ago New York, NY $70.67-$208,000.00 1 week ago New York, NY $100,000.00-$250,000.00 1 month ago Research Scientist, Machine Learning / AI
New York, NY $120,000.00-$180,000.00 6 months ago New York, NY $154,000.00-$213,000.00 2 weeks ago New York, NY $200,000.00-$300,000.00 1 week ago Don't fit another role but want us to consider you? Apply here...
Want to work with us, but don't see the right job listed?
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr