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Software Development Engineer - Large Language Models, AML

California, United States (On-site)

Software Development Engineer - Large Language Models, AML

1 Month ago • All levels • Research & Development • Artificial Intelligence

About the job

11 skills required for this role

Test your skills to join the top 1% applicants for this job

cpp

algorithms

kubernetes

deep-learning

rust

python

docker

pytorch

cross-functional

game-texts

talent-acquisition

Job Description

ByteDance is seeking a Software Development Engineer specializing in Large Language Models (LLM) to join their Applied Machine Learning Enterprise team. This role involves developing and implementing cutting-edge techniques for LLM solutions, including model fine-tuning, evaluation, and inference capabilities. The ideal candidate will have experience with machine learning platforms, LLM training and inference, and proficiency in programming languages like Python, Go, C++, or Rust. They will also be responsible for developing a high-efficient and high-capacity LLM platform and working closely with cross-functional teams to implement LLM projects for diverse purposes and vertical domains.

Must have:

Ph.D./Master in Computer Science/Engineering, AI, or related field
Experience with machine learning platforms and LLMs
Strong understanding of cutting-edge LLM techniques
Proficiency in Python, Go, C++, or Rust
Expertise in deep learning frameworks (PyTorch, DeepSpeed, Megatron)
Strong understanding of distributed computing framework and performance tuning

Good to have:

Experience with inference tuning and acceleration
Experience with large scale machine learning systems' scheduling and orchestration
Experience with deploying AI models into production environments

Perks:

100% premium coverage for employee medical insurance
Health Savings Account(HSA) with a company match
Dental, Vision, Short/Long term Disability, Basic Life insurance
Voluntary Life and AD&D insurance plans
Flexible Spending Account(FSA) Options
10 paid holidays per year
17 days of Paid Personal Time Off (PPTO)
10 paid sick days per year
12 weeks of paid Parental leave
8 weeks of paid Supplemental Disability
Mental and emotional health benefits through EAP and Lyra
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, 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.​
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.​