Research Scientist in Large Model System
bytedance
Job Summary
ByteDance's Doubao Team is seeking a Research Scientist to contribute to the development of advanced AI foundation models. You will be responsible for designing and developing the architecture of large-scale machine learning systems, tackling challenges such as high concurrency, reliability, and scalability. Responsibilities include resource scheduling, model training, inference, data management, workflow orchestration, and researching cutting-edge technologies like heterogeneous computing systems and compiler-based optimizations. You'll collaborate closely with algorithm teams to optimize both algorithms and systems.
Must Have
- Excellent coding ability
- Solid foundation in data structures and algorithms
- Proficient in C/C++ or Python
- Familiar with machine learning frameworks (TensorFlow/PyTorch)
- Understanding of distributed systems principles
- Strong sense of responsibility, learning ability, communication skills, and self-motivation
Good to Have
- Experience with large-scale projects or influential papers in the field of large models
- Familiarity with LLM, CV algorithms, large model training, and RL algorithms
- Expertise in CUDA, RDMA, AI Infrastructure, HW/SW Co-Design, High-Performance Computing, ML Hardware Architecture, ML for System, and Distributed Storage
Perks & Benefits
- 100% premium coverage for employee medical insurance
- 75% premium coverage for dependents
- Health Savings Account (HSA) with company match
- Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans
- Flexible Spending Account (FSA) Options
- 10 paid holidays per year
- 17 days of Paid Personal Time Off (PPTO)
- 10 paid sick days per year
- 12 weeks of paid Parental leave
- 8 weeks of paid Supplemental Disability
- Mental and emotional health benefits through EAP and Lyra
- 401K company match
- Gym and cellphone service reimbursements
Job Description
The base salary range for this position in the selected city is $184300 - $337250 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.
Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees:
We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account(HSA) with a company match. As well as Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans. In addition to Flexible Spending Account(FSA) Options like Health Care, Limited Purpose and Dependent Care.
Our time off and leave plans are: 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.
We also provide generous benefits like mental and emotional health benefits through our EAP and Lyra. A 401K company match, gym and cellphone service reimbursements. The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.