Read AI
Engineering - Data Science - Research Scientist
Read AI, Seattle, Washington, us, 98127
Job Title : Research Scientist
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 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. Read AI'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, deep learning, topic modeling and communicate opportunities to leverage new technology to improve Read AI’s products.
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 a quantitative field (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.
3+ years of programming in Python (preferred) or R.
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.
Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
Research Scientist 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.
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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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 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. Read AI'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, deep learning, topic modeling and communicate opportunities to leverage new technology to improve Read AI’s products.
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 a quantitative field (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.
3+ years of programming in Python (preferred) or R.
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.
Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
Research Scientist 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.
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.
#J-18808-Ljbffr