Responsibilities - Explore large-scale models and optimize systems. - Data construction, instruction tuning, preference alignment, and model optimization. - Improving relevant model capabilities, such as reasoning, code, math etc. - In-depth research and exploration of future use cases. Minimum Qualifications: - Individuals who are completing or have recently completed a Bachelor's in Computer Science, Electrical Engineering, Electrical and Computer Engineering, Physics, Mathematics, or a related discipline. - Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C++ or Python, etc. - Demonstrated interest or project experience in LLM-related areas such as training, evaluation, or applications. Preferred Qualifications: - Experience with machine learning, deep learning, or large-scale models through internships is preferred. - Strong problem analysis and problem-solving skills and good communication and collaboration skills, with the ability to learn quickly and work effectively in a team. Job Information 【For Pay Transparency】Compensation Description (Annually) The base salary range for this position in the selected city is $218400 - $387600 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure). The Company reserves the right to modify or change these benefits programs at any time, with or without notice.