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Research Scientist in ML Systems

California, United States (On-site)

Research Scientist in ML Systems

1 Month ago • All levels • Research & Development

About the job

13 skills required for this role

Test your skills to join the top 1% applicants for this job

tensorflow

cpp

algorithms

reinforcement-learning

deep-learning

python

pytorch

linux

foundation

cuda

fpga

networking

talent-acquisition

Job Description

ByteDance's Doubao team is searching for a talented Research Scientist in ML Systems to contribute to their cutting-edge AI foundation models. You'll be responsible for researching and developing machine learning systems, including heterogeneous computing architecture, management, and monitoring. You'll also be involved in deploying these systems, managing distributed task scheduling, and optimizing machine learning training and inference across various layers. This role requires expertise in distributed and parallel computing, machine learning algorithms, GPU technologies, and programming languages like C/C++, CUDA, and Python.

Must have:

Master's degree or above
Expertise in distributed and parallel computing
Familiarity with machine learning algorithms
Understanding of GPU, FPGA, ASIC
Strong programming skills (C/C++, CUDA, Python)
Experience in Linux environment

Good to have:

GPU-based high-performance computing
RDMA high-performance network (NCCL)
TensorFlow, Jax, PyTorch experience
Large-scale data processing
Experience with cloud computing or ML systems

Perks:

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
401K company match
Gym and cellphone service reimbursements

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Responsibilities

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok and Helo as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content. ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment, and enterprise services - over 2.5 billion people interact with ByteDance products, including TikTok Why Join Us Creation 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 Intro Founded in 2023, the ByteDance Doubao (Seed) Team, is dedicated to pioneering advanced AI foundation models. Our goal is to lead in cutting-edge research and drive technological and societal advancements. With a strong commitment to AI, our research areas span deep learning, reinforcement learning, Language, Vision, Audio, AI Infra and AI Safety. Our team has labs and research positions across China, Singapore, and the US. 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 ByteDance 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. Responsibilities - Research and develop our machine learning systems, including heterogeneous computing architecture, management, and monitoring - Deploy the machine learning systems, distributed task scheduling, machine learning training, and machine learning inference - Manage cross-layer optimization of system and AI algorithms and hardware for machine learning (GPU, FPGA, ASIC)

Qualifications

1. Master or above degree in distributed, parallel computing principles and know the recent advances in computing, storage, networking, and hardware technologies; 2. Familiar with machine learning algorithms and platforms; 3. Have basic understanding of how GPU, FPGA, ASIC works; 4. Expert in at least one or two programming languages in Linux environment: C/C++, CUDA, Python; 5. The following experiences will be a big plus: - GPU based high performance computing, RDMA high performance network (NCCL); - Tensorflow, Jax, PyTorch or other deep learning frameworks; - Large scale data processing and parallel computing; - Experiences in designing and operating large scale systems in cloud computing or machine learning. 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 joy.miao@bytedance.com

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.​
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.​