Software Development Engineer - Large Language Models, AML

2 Months ago • All levels • Artificial Intelligence • Research & Development • $145,000 PA - $355,000 PA

Job Summary

Job Description

ByteDance's Applied Machine Learning Enterprise team seeks a Software Development Engineer specializing in Large Language Models (LLMs). You'll develop and implement cutting-edge LLM solutions, focusing on model fine-tuning, evaluation, and high-efficiency, high-capacity platform development. Collaboration with cross-functional teams is key to implementing LLM projects across various domains. Responsibilities include building innovative products on the LLM platform and ensuring scalable, efficient operation of current and future models. A deep understanding of LLM techniques (attention variants, multi-modality, prompt engineering, alignment, agents) and proficiency in Python, Go, C++, or Rust are essential.
Must have:
  • Develop high-efficiency LLM platform
  • Implement LLM projects across domains
  • Proficiency in Python, Go, C++, or Rust
  • Strong understanding of LLM techniques
  • Experience with LLM training and inference
Good to have:
  • Experience with inference tuning and acceleration
  • Understanding of GPU/AI accelerators
  • Experience with large-scale AI networks
  • Experience with Kubernetes and Docker
  • LLM application & agent development
Perks:
  • Medical, dental, and vision insurance
  • 401(k) savings plan with company match
  • Paid parental leave
  • Paid holidays and sick days
  • Paid Personal Time

Job Details

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, Helo, and Resso, 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: The Applied Machine Learning Enterprise team combines system engineering and machine learning to develop and operate Large Language Model (LLM) service platform that offers businesses Model-as-a-Service solutions (MaaS) to both the big model vendors and users. The Applied Machine Learning Enterprise US team drives the design, development, and operation of Bytedance MaaS solutions in US and rest of world overseas of mainland China. We are building full stack end-to-end solutions covering text and multi-modality LLM algorithms, LLM training/finetuning/inference frameworks, heterogeneous hardware architectures, prompting engineering, LLM model alignment, and intelligent agents, etc. We are actively seeking talented Software Development Engineers specializing in Large Language Models (LLM) to join our dynamic team. Responsibilities: In this role, you will be at the forefront of development, and implementation of cutting-edge techniques for LLM solutions including model fine-tuning, evaluation, and inference capabilities. To ensure we have the ability to run current and future models at increasingly high scale with increasing efficiency. Your primary responsibility will be to - develop high-efficient and high-capacity LLM platform, build innovative products atop it. - work closely with cross-functional teams to implement projects harnessing LLMs for diverse purposes and vertical domains. - maintain a deep passion for contributing to the success of LLM is essential in this innovative and fast-paced team environment.
Qualifications
Minimum Qualifications - Ph.D./Master in Computer Science/Computer Engineering, Artificial Intelligence, or a related field. (Undergraduate with exceptional experiences can be considered too). - Have prior experience working with machine learning platforms and/or training and inference of LLMs. - Strong understanding of cutting-edge LLM techniques (e.g., attention variants, multi modality, prompt engineering, alignment, agent etc.) and possess practical expertise in effectively implementing these systems. - Proficiency in programming languages such as Python, Go, C++, or Rust and a track record of working with deep learning frameworks (e.g., pytorch, deepspeed, megatron, etc.). - Strong understanding of distributed computing framework & performance tuning and verification for training/finetuning/inference. Being familiar with Ray, PEFT, or RL is a plus. Preferred Qualifications - Excellent problem-solving skills to address complex engineering problems and AI challenges. Demonstrated ability to build systems from ideas, producing tangible outcomes. - Experience with inference tuning and Inference acceleration. Have a 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 deploying AI models into production environments, testing and evaluation of AI systems, LLM application & agent development is desirable. 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 dataecommerce.accommodations@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.

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.

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