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Research Manager

Seattle, WA

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 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 Manager, you'll play a key role in shaping new features and guiding our product roadmap.

Responsibilities:

  • Build and grow inclusive, high-functioning, diverse data and research teams.
  • 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.
  • Stay informed about industry trends, competitors, and emerging technologies. Provide insights on how Read AI can differentiate itself through superior user experience
  • Advocate for and contribute to the development of accessible and inclusive design practices. Ensure that user research addresses the diverse needs of our customer base.

Requirements:

  • 7+ years of experience leading teams that have delivered sophisticated machine-learning systems and human-centered AI products.
  • Advanced degree in Computer Science, Data Science, or a related field, with a focus on computer vision, machine learning, or a related discipline. (PhD preferred). 
  • 7+ years of experience in research fundamentals, machine learning principles, and development methodologies around LLMs and foundation models.
  • 7+ years of experience with applied statistical techniques, including inferential methods, causal methods, A/B testing, or statistical modeling.
  • Signal processing (speech or vision) understanding
  • 7+ years of programming experience in Python
  • 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.
  • 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.


Research  positions offer a base pay range of $180,500 - $199,500 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.

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