Maple is building AI agents that work for local businesses, and we're looking for a ML Research Engineer to join our core product team. You'll be responsible for transforming cutting-edge research into production-ready voice agents, collaborating with experts from top institutions, and deploying advanced models and systems that impact small businesses.
Requirements
- Optimize speech recognition, large language models, and text-to-speech for real-world use
- Fine-tune LLMs with retrieval-augmented generation, reinforcement learning, and prompt engineering
- Integrate AI components into autonomous agents capable of complex tasks
- Create human-in-the-loop and automated systems to monitor performance and detect anomalies
- Develop pipelines to construct knowledge graphs from business data
- Work with infrastructure teams to scale models efficiently across GPU/TPU clusters and edge devices
- Manage rapid experimentation, training, and highly optimized production inference
- Lead evaluations, error analysis, and iterative improvements to maintain robustness and scalability
- Publish research, contribute to open-source, and present at industry-leading conferences
Benefits
- Competitive salary
- Meaningful equity
- Full health, dental, vision, 401k, life insurance, and unlimited PTO
- Tools budget, coffee budget, whatever-you-need-to-be-great budget