Senior Research Scientist - Reinforcement Learning
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Job Description
Symbolica is building the new foundation for enterprise-scale AI controllable, interpretable, reliable, and secure. We are expanding our team and seeking an experienced machine learning scientist to lead efforts on the development of our cutting-edge formal language models. This is an opportunity to be part of a transformative project and make significant contributions to the field of AI.
Symbolica was founded in 2022 and recently raised over $30M from Khosla, General Catalyst, Buckley Ventures, Abstract Ventures, Day One Ventures, and other prominent Silicon Valley venture capital firms, to advance machine reasoning. We're a well-resourced, nimble team with a drive to deliver exceptional AI capabilities in short order.
Responsibilities:
- Own a research portfolio within the broader Symbolica agenda, and deliver high quality results on project timelines
- Contribute to the design and implementation of machine learning models for theorem proving, code synthesis, and text generation using reinforcement learning techniques
- Translate business objectives into technical requirements and communicate technical progress and obstacles to non-technical stakeholders
- Collaborate with a team of machine learning researchers and engineers to achieve project goals
- Proactively communicate research progress to leadership. Identify obstacles to progress and propose solutions
- Maintain a deep understanding of current techniques in deep learning. Understand, implement, and improve on methods described in machine learning literature, without relying on published code
- Design and execute experiments to guide model development process while making effective use of compute budget
Qualifications:
- Demonstrated ability to perform all responsibilities
- PhD in mathematics, statistics, computer science, or a related field
- Specific previous experience with reinforcement learning
- Proficiency with Python deep learning libraries such as PyTorch
- Research published in NeurIPS, ICML, ICLR, AAAI, COLT, etc.
Read More about Symbolica:
- https://www.reuters.com/technology/symbolica-raises-31-mln-develop-ai-systems-compete-with-openai-2024-04-09/
- https://techcrunch.com/2024/04/09/symbolica-hopes-to-head-off-the-ai-arms-race-by-betting-on-symbolic-models/
- https://finance.yahoo.com/news/vinod-khosla-betting-former-tesla-130000001.html?guccounter=1&guce_referrer=aHR0cHM6Ly93d3cuZ29vZ2xlLmNvbS8&guce_referrer_sig=AQAAAM8WmAiM1aETvCrdRgrI1LQAu5yeVJJquQfumealiO3agIooRLa1Y0u-PgA01gUm_CmCa0sgihyaB6NLaTzvDzaXqTfUYuC3qYXVh3TgRELZkk5n7V1P-5eJBJ7CKz_Wqc0DO8kiW5ftQaTRm9XY1IY2vs2bfJscl-i0EBCLWwDH
- https://siliconangle.com/2024/04/09/symbolica-launches-33m-change-ai-industry-symbolic-models/
Compensation and Benefits:
- Work in-person in our beautiful new office in San Francisco, alongside driven and accomplished colleagues at the tops of their fields
- Enjoy competitive cash and equity compensation, with access to dozens of health insurance plan options, 401k, and other benefits
- Extensive PTO / leave program designed to keep you healthy and recharged to do your best work
- Much more
At Symbolica.ai, our mission is to revolutionize the AI landscape by creating groundbreaking machine learning solutions that are radically transparent, highly efficient, and meticulously compliant. We strive to push the boundaries of innovation, delivering AI technology that not only outperforms current standards but also meets the rigorous demands of industries requiring utmost reliability and security. We are building deep learning models which manipulate structured data, learn algebraic structure in it, and do so with an interpretable and verifiable logic. We are now hiring exceptional talent who are helping us make this a reality.
