Job Title : Research Manager
Company : Read AI
Location : Seattle, WA (Hybrid)
About Us:
Read AI is an innovative venture-backed startup working at the forefront of consumer AI technology. We are the fastest growing meeting note-taker in history, significantly outpacing our industry peers. Our product summarizes, augments, and aggregates meeting, chat, and email data to improve efficiency with AI-generated summaries, transcripts, playback, and highlights.
With over a million users every month, our high bar on security, privacy, and performance has made us the only company that is both a Zoom Essential App and Google Add-On. Our customers include Fortune 1000 companies, government agencies, NGOs, financial services, and healthcare organizations.
Join Read and help us transform the future of communication and productivity.
The Role:
As a Research Manager at Read AI, your contributions will directly influence how we harness the latest advances in machine learning and generative models to empower our users. You will utilize your advanced quantitative skills and hypothesis-testing mindset to develop methods that connect relevant concepts across a diverse array of content sources. This hands-on research and development position requires both coding expertise and a passion for building scalable machine learning and generative applications. As a Research Scientist, you'll play a key role in shaping new features and guiding our product roadmap.
Responsibilities:
- Build and develop a team of data and research engineers.
- Stay informed about the latest advances in machine learning, deep learning, and topic modeling, and identify opportunities to leverage new technologies for enhancing Read AI’s products.
- Conduct research and prototype new features, collaborating closely with product, design, and engineering teams to understand product limitations and scalability opportunities.
- Present findings and updates regularly to the data science team.
- Conduct surveys and gather ground truth data to validate research outcomes.
- Collaborate with the engineering team to implement and maintain methodologies.
- Contribute to hiring and career development initiatives.
- Communicate strategy, progress, and impact to senior leadership.
Requirements:
- 7+ years of experience in people management and team development.
- Advanced degree in a quantitative field (PhD preferred).
- 7+ years of experience in machine learning and/or deep learning.
- 7+ years of experience with applied statistical techniques, including inferential methods, causal methods, A/B testing, or statistical modeling.
- 7+ years of programming experience in Python (preferred) or R.
- Strong familiarity with Git or equivalent version control systems.
- Ability to thrive in a fast-paced startup environment with a high degree of autonomy and accountability.
- Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
Research positions offer a base pay range of $130,000 - $190,000, 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.
Join us at Read AI and be part of a talented team that is shaping the future of knowledge management. Apply now, and help us revolutionize how organizations consume and share information.
We are committed to fostering a diverse, inclusive environment and to encourage these values in everyone on our team. We provide an environment of mutual respect where opportunities are available without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. We believe that diversity and inclusion for people from all walks of life is key to our success as a company.
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