Software Engineer in ML Systems Graduate (AML - Machine Learning Systems) - 2024 Start (BS/MS)

1 Week ago • All levels • Research & Development

About the job

SummaryBy Outscal

Must have:
  • Master's degree or above
  • Distributed, parallel computing principles
  • Machine learning algorithms, platforms, frameworks
  • Understanding of GPU and/or ASIC
  • Expertise in C/C++, CUDA, Python
Good to have:
  • GPU based high performance computing
  • RDMA high performance network
  • Distributed training framework optimizations
  • AI compiler stacks
  • Large scale data processing
  • Experience designing and operating large scale systems
  • In-depth CUDA programming and performance tuning
Perks:
  • Medical insurance
  • Dental, vision
  • Disability insurance
  • Life insurance
  • Paid holidays
  • Paid time off
  • Paid sick days
  • Parental leave
  • 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, 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. 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." About the team Founded in 2023, ByteDance Doubao Team is dedicated to crafting the industry's most advanced LLMs. We aim to lead global 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 boasts a robust international presence with labs and research facilities 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. This model supports over 50 downstream business services including Doubao, Coze, and Dreamina, which are available to enterprise customers via the Volcano Engine. Currently, the Doubao App is the most used AIGC application in the China market. Successful candidates must be able to commit to one of the following start dates below: 1. January 15, 2024 2. February 5, 2024 3. March 4, 2024 4. May 20, 2024 5. June 10, 2024 6. July 15, 2024 7. August 12, 2024 We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume. Applications will be reviewed on a rolling basis. We encourage you to apply early. Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to ByteDance and its affiliates' jobs globally. Responsibilities - Research and develop our machine learning systems, including heterogeneous computing architecture, management, and monitoring - Deploy machine learning systems, distributed task scheduling, machine learning training - Manage cross-layer optimization of system and AI algorithms and hardware for machine learning (GPU, ASIC) - Implement both general purpose training framework features and model specific optimizations (e.g. LLM, diffusions) - Improve efficiency and stability for extremely large scale distributed training jobs
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, platforms and frameworks such as PyTorch and Jax. 3. Have basic understanding of how GPU and/or 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 (MPI, NCCL, ibverbs); -Distributed training framework optimizations such as DeepSpeed, FSDP, Megatron, GSPMD - AI compiler stacks such as torch.fx, XLA and MLIR; - Large scale data processing and parallel computing; - Experiences in designing and operating large scale systems in cloud computing or machine learning; - Experiences in in-depth CUDA programming and performance tuning (cutlass, triton) 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 bring joy. 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 earlycareers.accommodations@bytedance.com. By 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 $106590 - $139650 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.

View Full Job Description
$106.6K - $139.7K/yr (Outscal est.)
$123.1K/yr avg.
Seattle, Washington, United States

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