Responsibilities
- Play an active role in designing and developing formalization and validation strategies specifically tailored for scientific applications.
- Stay updated with state-of-the-art techniques and advancements in the field.
- Continuously integrate the latest research and technologies to enhance the products’ impact.
- Work closely with AI and development teams to ensure seamless integration of solutions.
- Promote open communication and cooperation to enhance productivity and technical excellence.
- Foster a collaborative culture by actively sharing knowledge, insights, and best practices.
- Encourage teamwork and continuous learning to strengthen overall expertise within the company.
Requirements
- PhD in Computer Science, Artificial Intelligence, Machine Learning or related fields.
- Experience in applications of machine learning to relevant projects and publications at top-tier conferences.
- Proficient in Python, with the ability to write clean and efficient code in shared code bases.
- Experienced with major deep learning and agentic AI frameworks.
- Solid understanding of statistics and probability.
Nice to Have
- Background in Physics, Engineering or other related computational science.
- Internship or work experience in one top AI company.
- Strong experience in at least one of the following: agentic LLMs and RAG, machine learning for science, program synthesis, NLP, training and fine-tuning LLMs, knowledge graphs, applied machine learning, machine learning for theorem proving, graph machine learning, reinforcement learning, representation learning.
- Proven contribution to open source projects.
Benefits
- Competitive compensation
- Stock Options Plan: Empowering you to share in our success and growth.
- Cutting-Edge Tools: Access to state-of-the-art tools and collaborative opportunities with leading experts in artificial intelligence, physics, hardware and electronic design automation.
- Professional Growth: Opportunities to attend industry conferences, present research findings, and engage with the global AI research community.
- Impact-Driven Culture: Join a passionate team focused on solving some of the most challenging problems at the intersection of AI and hardware.
Work Arrangement
Hybrid
