Senior Research Scientist - Machine Learning System Expiring soon

BYTEDANCE INC.
San Jose, CA, United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$218,400.0
Working hours
Regular working hours

Tech stack

Systems Engineering Artificial Neural Networks C++ (Programming Language) Nvidia CUDA Distributed Systems Python (Programming Language) Machine Learning Performance Tuning Remote Direct Memory Access Pytorch Large Language Models Deep Learning
+2 more
Parallel Computation TensorRT

Job description

The Machine Learning (ML) System sub-team combines system engineering and the art of machine learning to develop and maintain massively distributed ML training and Inference system/services around the world, providing high-performance, highly reliable, scalable systems for LLM/AIGC/AGI In our team, you’ll have the opportunity to build the large scale heterogeneous system integrating with GPU/NPU/RDMA/Storage and keep it running stably and reliably, enrich your expertise in coding, performance analysis and distributed system, and be involved in the decision-making process. You’ll also be part of a global team with members from the United States, China and Singapore working collaboratively towards unified project direction. Responsibilities: - Responsible for developing and optimizing LLM inference framework. - Responsible for GPU and CUDA Performance optimization to create an industry-leading high-performance LLM inference engine.

Requirements

Minimum Qualifications: - Bachelor’s degree or above, major in computer/electronics/automation/software, etc. - Proficient in C/C++, proficient in algorithms and data structures, familiar with Python - Understand the basic principles of deep learning algorithms, be familiar with the basic architecture of neural networks and understand deep learning training frameworks such as Pytorch. Preferred Qualifications: - Proficient in GPU high-performance computing optimization technology on CUDA, in-depth understanding of computer architecture, familiar with parallel computing optimization, memory access optimization, low-bit computing, etc. - Familiar with TensorRT-LLM, ORCA, VLLM, etc. - Knowledge of LLM models, experience in accelerating LLM model optimization is preferred.

Benefits & conditions

The base salary range for this position in the selected city is $218400 - $387600 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.

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., * Training Provided * Regular team and company events * Free drinks, fruit or food * Subsidized public transport * Flexible working * Free Gym or Gym Subsidy * Private Medical/Dental healthcare * Annual Health Check * Bonus/Reward Scheme * Childcare Vouchers * Cycle to work scheme * Paid Overtime * Stock Options * Language Classes * Game Jams * Four Day Workweek

About the company

Founded in 2012, ByteDance’s mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico 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 ByteDance

Inspiring creativity is at the core of ByteDance’s mission. Our innovative products are built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.

As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an “Always Day 1” mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

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.

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