As a Research Scientist, you will leverage machine learning to enhance user productivity, conduct research, prototype new features, and collaborate with various teams.
About Us:
Read AI is a leading productivity AI company focused on helping individuals and businesses optimize their workflows across meetings, messages, and email. With seamless cross-platform integration with Microsoft Teams, Google Meet, Zoom, Slack, Hubspot, and Salesforce, Read AI revolutionizes how teams connect and collaborate by providing an AI copilot wherever they work.We’re excited to share that we recently closed a $50 million Series B funding round, led by Smash Capital, with continued support from existing investors Madrona and Goodwater Capital. This new funding brings our total to $81 million, just six months after our Series A. We're just getting started, so if you're passionate about shipping early, often, and impacting millions, we'd love for you to join our growing team!
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:
Read AI is a leading productivity AI company focused on helping individuals and businesses optimize their workflows across meetings, messages, and email. With seamless cross-platform integration with Microsoft Teams, Google Meet, Zoom, Slack, Hubspot, and Salesforce, Read AI revolutionizes how teams connect and collaborate by providing an AI copilot wherever they work.We’re excited to share that we recently closed a $50 million Series B funding round, led by Smash Capital, with continued support from existing investors Madrona and Goodwater Capital. This new funding brings our total to $81 million, just six months after our Series A. We're just getting started, so if you're passionate about shipping early, often, and impacting millions, we'd love for you to join our growing team!
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.
Top Skills
Generative Models
Large Language Models
Machine Learning
Python
Retrieval Augmented Generation
Statistical Modeling
Read AI Seattle, Washington, USA Office
Seattle, Washington , United States
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What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
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- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
