Architect - AML Engine

1 Month ago • 5 Years + • Monetization

About the job

Job Description

Build the next-generation AI infrastructure and Recommendation platform for Ads, Feed, Search, Live & ecom ranking at ByteDance. Requires 5+ years experience in building large-scale Recommendation/Ads/LLM systems, expertise in DP/TP/PP/EP/SP parallelism strategies, DeepSpeed/Megatron-LM parallel libraries, TensorFlow/PyTorch/JAX frameworks, GPU/TPU accelerators, XLA/TVM/MLIR/Trion compilers, large-scale scheduling/runtime for ML workload, hardware-software co-design and optimization.
Must have:
  • Recommendation/Ads/LLM
  • Parallelism Strategies
  • TensorFlow/PyTorch/JAX
  • GPU/TPU Accelerators
Good to have:
  • STOA Recommendation
  • Distributed Systems
  • Technical Documents
  • Logical Analysis
Perks:
  • Health Insurance
  • Parental Leave
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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! Team Intro: The mission of our AML (Applied Machine Learning) team is to push the next-generation AI infrastructure and Recommendation platform for the Ads ranking, Feed ranking, Search ranking, Live & ecom ranking in our company. We also drive substantial impact on all core businesses of the company. Currently, we are closely collaborating with business and algorithm teams to build the next generation of Recommendation Models with tremendous scaling, which brings significant challenges and opportunities to machine learning infrastructure and systems. So we are looking for Machine Learning Infra Talents to join our team to support and advance that mission. Responsibilities: - Enable the model scaling capability up to several orders of magnitude through the next generation of ML Infra. - Support core business and algorithm teams in adopting the scaling capability into world-class scenarios. - Identify key infra challenges/opportunities of scaling and collaborate closely with sister teams to deliver them. - Keep abreast of business requirements and industry trends, and maintain the SOTA scaling of our ML infra. - Improve userbility, resource efficiency and service stability while pushing the scaling to unlimited.
Qualifications
- Bachelors Degree in Software Engineering or similar. - At least 5 years of experience in building Recommendation/Ads/LLM systems at large scale. - Expert in one or more of the following fields: DP/TP/PP/EP/SP parallelism strategies, DeepSpeed/Megatron-LM parallel libraries, TensorFlow/PyTorch/JAX frameworks, GPU/TPU accelerators, XLA/TVM/MLIR/Trion compilers, large-scale scheduling/runtime for ML workload, hardware-software co-design and optimization. Preferred: - Understanding of STOA Recommendation modeling technologies is a big plus. - A successful story or unique achievement is a big plus. - Possess excellent logical analysis ability, able to perform reasonable abstraction and decomposition of a complex system design. - Master the principle of distributed systems and participate in the design, development and maintenance of large-scale distributed systems. - Have a strong sense of responsibility, good learning ability, communication ability and self-motivation, and be able to respond and act quickly. - Have good working document habits, and write and update technical documents in a timely manner as required. 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/cdpT2
Job Information
【For Pay Transparency】Compensation Description (annually)

The base salary range for this position in the selected city is $334000 - $435000 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
$334.0K - $435.0K/yr (Outscal est.)
$384.5K/yr avg.
San Jose, California, United States

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About The Company

Where imagination meets innovation, delivering limitless gaming experiences.

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