Ml Research Engineer • Mid-Level

Who you are

You have a strong background in machine learning and natural language processing, with experience in optimizing speech recognition systems for diverse environments. Your expertise includes working with large language models and text-to-speech technologies, ensuring accuracy and efficiency in real-world applications. You thrive in collaborative settings, having worked alongside experts from top institutions like Google Brain and IBM, and you are eager to contribute to innovative projects that impact local businesses.

You possess a deep understanding of reinforcement learning and retrieval-augmented generation, allowing you to fine-tune models for dynamic interactions. Your ability to adapt to fast-paced environments and your passion for transforming research into practical solutions make you an ideal fit for this role. You are comfortable with ambiguity and enjoy tackling complex challenges head-on, always seeking to improve and iterate on existing systems.

What you'll do

As an ML Research Engineer at Maple, you will be part of a core product team dedicated to developing AI agents that serve local businesses. Your primary responsibility will be to optimize speech recognition, large language models, and text-to-speech systems, ensuring they perform accurately in real-world scenarios. You will collaborate closely with your team to rapidly deploy advanced models that enhance customer interactions across various industries.

You will engage in fine-tuning large language models using techniques such as retrieval-augmented generation and reinforcement learning, ensuring that our AI agents can adapt to the unique workflows and constraints of different businesses. Your work will directly impact the efficiency and effectiveness of our voice agents, enabling them to handle real customer interactions seamlessly.

In addition to model optimization, you will participate in brainstorming sessions and contribute to the overall strategy for product development. You will have the opportunity to work in a high-trust environment where fast feedback loops and collaboration are encouraged. Your insights and expertise will help shape the future of AI solutions for local businesses, making a tangible difference in their operations.

What we offer

At Maple, we provide a supportive and innovative work environment where you can thrive. You will receive meaningful equity in the company, reflecting our commitment to your contributions and the company's success. Our culture emphasizes in-person collaboration, with a strong focus on fast feedback and minimal bureaucracy, allowing you to make an impact quickly.

We offer comprehensive health benefits, including dental and vision coverage, along with a 401k plan and life insurance. You will also have access to a tools budget, coffee budget, and any resources you need to excel in your role. With unlimited PTO, we prioritize work-life balance and encourage you to take the time you need to recharge.

Join us at Maple and help reimagine how software works for real-world businesses. We are excited to meet you and discuss how you can contribute to our mission.