Research Scientist

About Read AI:

At Read AI we’re redefining how teams collaborate by bringing intelligence to every conversation. Our platform supercharges productivity across meetings, messages, and email, so work gets done faster, smarter, and with better focus. We integrate seamlessly with tools like Zoom, Microsoft Teams, Google Meet, Slack, and more, helping teams stay aligned and move forward, whether they’re in the same room or across time zones.

Backed by $81 million in funding from Smash Capital, Madrona, and Goodwater Capital, Read AI is growing. If you're excited to shape the future of AI-powered collaboration and want to make an impact at a product-focused startup, we’d love to meet you.

The Role:
As a Research Scientist at Read, your contributions will directly impact how we leverage the latest advances in machine learning and generative models, to make our users smarter.  You will leverage your advanced quantitative skills and hypothesis testing mindset to develop methods for connecting relevant concepts across a diverse set of content sources.  This hands-on research and development position requires not only your quantitative research skills, but also your interest in building scalable machine learning and generative applications. ReadAI's product is at the forefront of leveraging generative AI to make our users not only more productive, but smarter.
As a Research Scientist at Read, you'll influence both the development of new features and the direction of our product roadmap.
Responsibilities:

• Stay current on the latest advances in machine learning, large language models (LLM), retrieval augmented generation (RAG), and topic modeling.
• Conduct research and prototype new features, working closely with product, design & engineering teams to understand the limitations and opportunities for meeting product and scalability requirements
• Present status and findings on a regular basis to the data science team
• Conduct surveys and collect ground truth data to validate your research
• Work closely with the engineering team to implement and maintain the methodologies you invent
• Contribute to the hiring and development of others
• Communicate strategy, progress, and impact to senior leadership

Requirements:

• Advanced degree in Computer Science, Electrical Engineering, Data Science, or a related field, with a focus on computer vision, machine learning, or a related discipline. (PhD preferred). 
• 3+ years of machine and/or deep learning experience
• 3+ years of experience with applied statistical techniques, such as inferential methods, causal methods, A/B testing, or statistical modeling techniques
• Proficiency in Python is a must
• Signal processing (speech or vision) understanding
• Strong familiarity with git or equivalent version control system
• Ability to thrive in a fast-paced startup environment with a high degree of autonomy and accountability
• Robust analytical and problem-solving skills, capable of employing scientific methods to solve real-world challenges.
• Excellent collaboration and teamwork skills, with the capacity to perform effectively in a dynamic, high-energy setting.

Bonus Points:

• Proven hands-on experience in production implementations

Research Science positions offer a base pay range of $110,000 - $180,000, plus equity and benefits. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer low deductible health plans, as well as flexible time away and family leave programs.

Please note our company does not provide visa support or sponsorship for employees.