AI Research Scientist
2 days ago
About Us
Read AI is a pioneering productivity AI company focused on optimizing workflows across meetings, messages, and email. We seamlessly integrate with Microsoft Teams, Google Meet, Zoom, Slack, Hubspot, and Salesforce, revolutionizing team collaboration by providing an AI copilot wherever they work.
We recently closed a significant 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, enabling us to further develop our innovative solutions.
The Role:
You will join our growing team as a Research Scientist at Read, directly impacting how we leverage the latest advances in machine learning and generative models. Your contributions will make our users smarter, leveraging your advanced quantitative skills and hypothesis testing mindset to develop methods for connecting relevant concepts across diverse 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. Our product is at the forefront of leveraging generative AI to make our users more productive and 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 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 research.
- Work closely with the engineering team to implement and maintain methodologies invented.
- Contribute to hiring and developing others.
- Communicate strategy, progress, and impact to senior leadership.
Requirements:
- Advanced degree in Computer Science, Electrical Engineering, Data Science, or related field, with focus on computer vision, machine learning, or 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 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 capacity to perform effectively in dynamic, high-energy setting.
Bonus Points:
- Proven hands-on experience in production implementations.
Compensation: The base pay range for this role is $110,000 - $180,000, plus equity and benefits. Individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We offer low deductible health plans, flexible time away, and family leave programs.
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