Palo Alto · el año pasado
Realizarás investigación y desarrollarás algoritmos y modelos novedosos de aprendizaje por refuerzo para la demostración matemática de teoremas dentro de los métodos formales. Colaborarás con un equipo multidisciplinario para integrar técnicas de RL con la verificación formal.
About Harmonic At Harmonic, we believe the future of AI depends on proof. Most AI makes its best guess. Aristotle uses formal methods and reinforcement learning to check its own reasoning and results. AI agents can write software in seconds, but edge cases and silent bugs still get through. We're building the verification engine to find them before code ships. With support for C and Verilog, Aristotle is built for the hardware and software where failure is expensive. Backed by some of the world’s most prominent investors, we are intentionally scaling an elite technical team. Try Aristotle for yourself here! About the Role We are seeking a highly motivated and skilled Research Engineer to join our Reinforcement Learning & Formal Methods team. The successful candidate will play a key role in advancing verifiable reasoning by developing new algorithms, models, and RL techniques. Key Responsibilities • Conduct high-quality research in the intersection of RL and formal methods, with a focus on mathematical theorem proving. • Develop and implement novel RL algorithms and models for theorem proving. • Collaborate with a multidisciplinary team to integrate RL techniques with formal methods. • Stay abreast of the latest developments in RL, formal methods, and related fields. Minimum Qualifications • BS or MS in Computer Science, Mathematics a related technical field, or equivalent industry experience • Strong programming skills in Python, with experience in software development and testing. • Experience in deep learning frameworks such as PyTorch • Strong understanding of mathematical concepts, including algebra, geometry, and analysis. Preferred Qualifications • PhD in Computer Science, Mathematics, or a related field. • Experience in applying AI to solve practical problems in formal methods. • Proven track record of high-quality research demonstrated by publications, patents, or software contributions. • Contributions to open-source projects or development of software tools in the field. • Strong background in RL, particularly in areas relevant to theorem proving (e.g., machine learning, natural language processing). • Proficiency in formal methods, including experience with theorem proving systems. What We Offer • Unlimited PTO • 401(k) matching • 100% employer-paid health, vision, and dental benefits for employees and 50% coverage for dependents. Harmonic offers varied health coverage options to select what is best for you and your family. • Health Savings Account (HSA) available for qualifying health plans Equal Opportunity Statement Harmonic is committed to diversity and inclusivity in the workplace. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.
Publicada el 9 jul 2025
