Research Engineer in Large Model System
bytedance
Job Summary
ByteDance's Doubao Team is looking for a Research Engineer to design and develop large-scale machine learning systems. The ideal candidate will have experience with LLMs, code generation, and large pre-trained models, and be proficient in deep learning frameworks such as PyTorch and TensorFlow. Responsibilities include: designing and developing the architecture of large-scale machine learning systems, solving technical challenges related to high concurrency, reliability, and scalability. Covering various machine learning system sub-directions, including resource scheduling, model training, inference, data management, and workflow orchestration. Researching and implementing advanced technologies in machine learning systems, such as hardware architecture, heterogeneous computing systems, and compiler-based optimization technologies. Collaborating with algorithm teams to optimize algorithms and systems jointly.
Must Have
- Research or technical background in LLMs, code generation, and large pre-trained models
- Experience with pre-training foundation technologies, including efficient training and pretraining as a service
- Proficiency in deep learning frameworks like PyTorch and TensorFlow
- Strong programming skills in Python or Java
Good to Have
- Publications in top-tier conferences (NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, KDD, etc.)
- Relevant internship experience or ACM competition wins
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 $145000 - $355000 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.