A leading research firm is seeking a research intern to contribute to the development of next-generation algorithms for optimization, machine learning, and computational systems. The role involves applying statistical physics to algorithm design and developing frameworks for algorithm discovery. Candidates pursuing a Master’s or Ph.D. in related fields with strong analytical and programming skills are encouraged to apply. This internship is based in Sunnyvale, California, and offers flexible work arrangements.
Qualifications
Currently pursuing a Master’s or Ph.D. in a relevant field.
Strong analytical and problem-solving skills.
Experience with programming in Python or similar languages.
Responsibilities
Apply statistical physics methods to analyze optimization landscapes.
Develop new algorithms for combinatorial optimization problems.
Create frameworks for LLM-assisted algorithm discovery.
Skills
Analytical skills
Problem-solving skills
Programming (Python or similar)
Interest in algorithm design
Strong communication skills
Education
Master’s or Ph.D. in Computer Science, Applied Mathematics, Physics, or Electrical Engineering
Job description
A leading research firm is seeking a research intern to contribute to the development of next-generation algorithms for optimization, machine learning, and computational systems. The role involves applying statistical physics to algorithm design and developing frameworks for algorithm discovery. Candidates pursuing a Master’s or Ph.D. in related fields with strong analytical and programming skills are encouraged to apply. This internship is based in Sunnyvale, California, and offers flexible work arrangements.