ResponsibilitiesEstablished in 2023, the ByteDance Doubao (Seed) Team is dedicated to building industry-leading AI foundation models. We aim to do world-leading research and foster both technological and social progress.With a long-term vision and a strong commitment to the AI field, the Team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation. It has labs and researcher roles in China, Singapore, and the US.Leveraging substantial data and computing resources and through continued investment in these domains, our team has built a proprietary general-purpose model with multimodal capabilities. In the Chinese market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and was launched to external enterprise clients through Volcano Engine. The Doubao app is the most used AIGC app in China.Why Join UsCreation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.Join us.Team IntroductionThe AML Machine Learning Systems team provides E2E machine learning experience and machine learning resources for the company. The team builds heterogeneous ML training and inference systems based on GPU and AI chips and advances the state-of-the-art of ML systems technology to accelerate models such as stable diffusion and LLM. The team is also responsible for research and development of hardware acceleration technologies for AI and cloud computing, via technologies such as distributed systems, HPC, and RDMA networking. The team is reinventing the ML infra for large scale language models. We have published papers at top tier conferences such as SIGCOMM, NSDI, EuroSys, OSDI, SOSP, MLSys, NeurIPS, etc.Responsibilities:1. Responsible for the design and development of resource scheduling, including model training, model evaluation and model inference in various scenarios (LLM/AIGC/NLP/CV/Speech, etc.)2. Responsible for the optimal orchestration of various computing resources (GPU, CPU, other heterogeneous hardware), realizing the rational use of stable resources, tidal resources, mixed resources, and multi-cloud resources3. Responsible for the optimal combination of computing resources, RDMA high-speed network resources, and storage resources, and giving full play to the power of large-scale distributed clusters4. Responsible for offline and online workload scheduling in global data centers integrating multi-cloud scenarios to achieve rational distributionsQualificationsMinimum Qualifications:1. Be proficient in 1 to 2 programming languages such as Go/Python/Shell in Linux environment2. Be familiar with Kubernetes architecture and container technology such as Docker/Containerd/Kata/Podman, and have rich experience in Machine Learning system practice and development3. Understand the principles of distributed systems and have experience in the design, development and maintenance of large-scale distributed systems4. Have an excellent logical analysis ability, able to reasonably abstract and split business logic5. Have a strong sense of responsibility, good learning ability, communication skills and self-drive, able to respond and act quicklyPreferred Qualifications1. Familiar with at least one major Machine Learning framework (TensorFlow/PyTorch)2. Experience in one of the following fields: AI Infrastructure, HW/SW Co-Design, High Performance Computing, ML Hardware Architecture (GPU, Accelerators, Networking)ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.ByteDance Inc. is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy.Job Information【For Pay Transparency】Compensation Description (annually)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.​

Salary

$145,000 - $355,000

Yearly based

Location

San Jose

Job Overview
Job Posted:
3 weeks ago
Job Expires:
Job Type
Full Time

Share This Job: