Research Engineer, Harmonic
Reinforcement Learning
Office located in Palo Alto, CA
AI for mathematical reasoning
Be an early applicant
AI for mathematical reasoning
1-20 employees
Be an early applicant
Office located in Palo Alto, CA
1-20 employees
Company mission
To explore the frontiers of human understanding.
Role
Who you are
- We are seeking a highly motivated and experienced Research Engineer to join our Reinforcement Learning & Formal Methods team
- BS in Computer Science, Mathematics a related technical field, or equivalent industry experience
- Demonstrated track record in developing novel, and impactful reinforcement learning systems
- 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
Desirable
- MS or PhD in Computer Science, Mathematics, or a related field
- Experience in applying RL 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 the job involves
- The focus of this position will be on leading advancements in mathematical theorem proving using cutting-edge RL techniques
- The successful candidate will play a key role in developing new algorithms and models that integrate RL with formal methods to solve complex problems in theorem proving and beyond
- Lead and 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
Our take
Harmonic is working to build Mathematical Superintelligence (MSI), delivering AI for formal mathematical reasoning. This has a worth of potential uses, from improving how maths is taught in schools to accelerating the advent of verified software synthesis in safety-critical domains.
It's an intriguing prospect which has gained investor attention to the tune of $75 million. This funding will support the company's rapid growth as the leader in developing MSI. Most interestingly, when complete, Harmonic's AI will be the first to have mathematical capabilities superior to that of humans.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
Company
Funding (1 round)
Sep 2024
$75m
SERIES A
Total funding: $75m
Company values
- Truth - We always seek and speak the truth, no matter how uncomfortable the path may be
- Tenacity - We are working to solve some of the world's hardest problems, and we refuse to fail for a lack of effort or focus
- Craftsmanship - Mathematics and art are inextricably linked. We take pride in the aesthetics of what we build, from our user interface down to our backend infrastructure
- Humanity - We believe that humans must direct the progress of mathematics and science, and we build our tools accordingly
Company HQ
Old Palo Alto, Palo Alto, CA
Leadership
Tudor Achim
(Co-Founder & CEO)Former co-founder and CTO at Helm.ai and Staff Software Engineer at Quora. Was also a PhD Student in Computer Science at Stanford University.
Vlad Tenev
(Co-Founder & Executive Chairman)Also the co-founder and CEO of Robinhood. Studied Mathematics at Stanford University and at UCLA.
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