ByteDance
Researcher - Large Language Models, Applied Machine Learning
ByteDance, San Jose, California, United States, 95199
Researcher - Large Language Models, Applied Machine Learning
In this role, you will be at the forefront of cutting‑edge research and development of advanced techniques for LLM solutions including model fine‑tuning, evaluation, inference, alignment, prompt engineering and intelligent agent technologies to ensure the ability to run current and future models at increasingly high scale with unprecedented efficiency.
Responsibilities
Lead the creation of next‑generation, high‑capacity LLM platforms and innovative products.
Work closely with cross‑functional teams to plan and implement projects harnessing LLMs for diverse purposes and vertical domains.
Maintain a deep passion for contributing to the success of large models in an innovative and fast‑paced team environment.
Qualifications Minimum Qualifications
Ph.D./Master in Computer Science, Data Science, Artificial Intelligence, or a related field.
Strong understanding of cutting‑edge LLM research (e.g., long context, multi modality, alignment research, agent ecosystem, etc.) and possess practical expertise in effectively implementing these advanced systems.
Proficiency in programming languages such as Python, Rust, or C++ and a track record of working with deep learning frameworks (e.g., PyTorch, DeepSpeed, Megatron, vLLM, etc.).
Strong understanding of distributed computing framework & performance tuning and verification for training/finetuning/inference. Familiarity with PEFT, RL, MoE, CoT or LangChain is a plus.
Preferred Qualifications
Excellent problem‑solving skills and a creative mindset to address complex AI challenges. Demonstrated ability to drive research projects from idea to implementation, producing tangible outcomes.
Published research papers or contributions to the LLM community would be a significant plus.
Experience with inference tuning and inference acceleration. Deep understanding of GPU and/or other AI accelerators, experience with large scale AI networks, PyTorch 2.0 and similar technologies.
Experience with large scale machine learning systems scheduling and orchestration, familiar with Kubernetes and Docker.
Experience with evaluation of AI systems, LLM application & agent development is desirable.
About Us 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, ByteDance has made it easier and more fun for people to connect, 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.
Diversity & Inclusion ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. At ByteDance, our mission is to inspire creativity and enrich life, and we celebrate diverse voices to create an environment that reflects the many communities we reach.
Reasonable Accommodation ByteDance 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://tinyurl.com/RA-request .
Job Information
Compensation: $136,800 – $359,720 annually (base salary range; additional bonuses, incentives, and restricted stock units may be applicable).
Benefits include medical, dental, and vision insurance; 401(k) savings plan with company match; paid parental leave; short‑term and long‑term disability coverage; life insurance; wellbeing benefits; 10 paid holidays; 10 paid sick days; and 17 days of paid personal time (prorated upon hire with increasing accruals by tenure).
Legal considerations: Qualified applicants with arrest or conviction records will be considered 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. Criminal history may impact job duties such as interacting with clients, handling confidential information, and exercising sound judgment.
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Responsibilities
Lead the creation of next‑generation, high‑capacity LLM platforms and innovative products.
Work closely with cross‑functional teams to plan and implement projects harnessing LLMs for diverse purposes and vertical domains.
Maintain a deep passion for contributing to the success of large models in an innovative and fast‑paced team environment.
Qualifications Minimum Qualifications
Ph.D./Master in Computer Science, Data Science, Artificial Intelligence, or a related field.
Strong understanding of cutting‑edge LLM research (e.g., long context, multi modality, alignment research, agent ecosystem, etc.) and possess practical expertise in effectively implementing these advanced systems.
Proficiency in programming languages such as Python, Rust, or C++ and a track record of working with deep learning frameworks (e.g., PyTorch, DeepSpeed, Megatron, vLLM, etc.).
Strong understanding of distributed computing framework & performance tuning and verification for training/finetuning/inference. Familiarity with PEFT, RL, MoE, CoT or LangChain is a plus.
Preferred Qualifications
Excellent problem‑solving skills and a creative mindset to address complex AI challenges. Demonstrated ability to drive research projects from idea to implementation, producing tangible outcomes.
Published research papers or contributions to the LLM community would be a significant plus.
Experience with inference tuning and inference acceleration. Deep understanding of GPU and/or other AI accelerators, experience with large scale AI networks, PyTorch 2.0 and similar technologies.
Experience with large scale machine learning systems scheduling and orchestration, familiar with Kubernetes and Docker.
Experience with evaluation of AI systems, LLM application & agent development is desirable.
About Us 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, ByteDance has made it easier and more fun for people to connect, 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.
Diversity & Inclusion ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. At ByteDance, our mission is to inspire creativity and enrich life, and we celebrate diverse voices to create an environment that reflects the many communities we reach.
Reasonable Accommodation ByteDance 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://tinyurl.com/RA-request .
Job Information
Compensation: $136,800 – $359,720 annually (base salary range; additional bonuses, incentives, and restricted stock units may be applicable).
Benefits include medical, dental, and vision insurance; 401(k) savings plan with company match; paid parental leave; short‑term and long‑term disability coverage; life insurance; wellbeing benefits; 10 paid holidays; 10 paid sick days; and 17 days of paid personal time (prorated upon hire with increasing accruals by tenure).
Legal considerations: Qualified applicants with arrest or conviction records will be considered 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. Criminal history may impact job duties such as interacting with clients, handling confidential information, and exercising sound judgment.
#J-18808-Ljbffr