Research Scientist in Model System Technology - Machine learning Seattle Regular

Research Scientist in Large Model System

Location:

Seattle

Team:
Machine learning

Employment Type:

Regular

Job Code: A134575

Leveraging substantial data and computing resources and through continued investment in these domains, we have developed a proprietary general-purpose model with multimodal capabilities. In the Chinese market, Doubao models power over 50 Byte Dance apps and business lines, including Doubao, Coze, and Dreamina, and is available to external enterprise clients via Volcano Engine. Today, the Doubao app stands as the most widely used AIGC application in China.

Responsible for the machine learning system development of the company's large-scale models, researching new applications and solutions of related technologies in areas such as search, recommendation, advertising, content creation, conversation, and customer service, meeting the growing demand for intelligent interaction from users, and comprehensively improving users' lifestyles and communication methods in the future world.

The main work directions include:

• Responsible for the design and development of the architecture of large-scale machine learning systems, solving technical difficulties such as high concurrency, high reliability, and high scalability of the system.
• Covering various sub-directions of machine learning system, including resource scheduling, model training, model inference, data management, and workflow orchestration.
• Responsible for the research and introduction of advanced technologies in machine learning systems, such as the latest hardware architecture, heterogeneous computing systems, and compiler-based optimization technologies.
• Working closely with the algorithm teams to optimize the algorithm and system jointly.

Minimum Qualifications:

• Excellent coding ability, solid foundation in data structures and basic algorithms, proficient in C/C++ or Python, familiar with at least one mainstream machine learning framework (Tensor Flow/PyTorch).
• Master the principles of distributed systems.
• Strong sense of responsibility, good learning ability, communication ability, and self-motivation.
• Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress.

Preferred Qualifications:

• Prior experience in large-scale projects or papers with great influence in the field of large models.
• Familiar with LLM, CV-related algorithms, and technologies, and experienced in large model training and RL algorithms.
• Experience in one of the following fields: CUDA, RDMA, AI Infrastructure, HW/SW Co-Design, High-Performance Computing, ML Hardware Architecture (GPU, Accelerators, Networking), ML for System, and Distributed Storage.

The base salary range for this position in the selected city is $177688 - $341734 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.

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…