AI Model Optimization Engineer

4 Months ago • 5 Years + • Research Development • $145,000 PA - $355,000 PA

Job Summary

Job Description

ByteDance's Intelligent Creation - AI Platform team seeks an experienced AI Model Optimization Engineer to enhance the performance, scalability, and deployment of large-scale generative AI models. Responsibilities include optimizing AI model training and inference workflows, developing distributed training strategies, designing and optimizing inference pipelines, benchmarking and profiling models, improving model parallelism and memory efficiency, researching and implementing model compression techniques, and collaborating with cross-functional teams. The ideal candidate will have expertise in deep learning frameworks (PyTorch, JAX), distributed training, model compression, high-performance computing, and ML compilers (TensorRT, XLA, TVM, ONNX Runtime).
Must have:
  • Optimize AI model training and inference
  • Develop distributed training strategies
  • Design and optimize inference pipelines
  • Experience with PyTorch and JAX
  • Model compression techniques expertise
  • High-performance computing proficiency
Good to have:
  • Strong software engineering skills (Python, C++)
  • Experience with Kubernetes, Ray, or Horovod
  • Contributions to open-source AI projects
  • Publications in top-tier AI/ML conferences
  • Knowledge of cutting-edge AIGC technologies
Perks:
  • Medical, dental, and vision insurance
  • 401(k) savings plan with company match
  • Paid parental leave
  • Paid time off
  • Wellbeing benefits

Job Details

Responsibilities
Team Introduction The Intelligent Creation - AI Platform team is a team focusing on building advanced end-to-end AI production pipelines, including deep learning model training, optimization, deployment and applications. We provide AI capabilities to empower content creation and consumption on TikTok and serve billions of users. We are seeking an experienced AI model optimization engineer with expertise in optimizing AI model training and inference, including distributed training/inference and acceleration. The ideal candidate will work at the cutting edge of AI efficiency, enhancing the performance, scalability, and deployment of large-scale generative AI models. Responsibilities - Optimize AI model training and inference workflows to improve efficiency, speed, and scalability. - Develop and implement distributed training strategies to accelerate model convergence and reduce computational overhead. - Design and optimize inference pipelines for low-latency, high-throughput deployments across diverse hardware architectures. - Benchmark and profile deep learning models to identify performance bottlenecks and optimize computational resources. - Improve model parallelism and memory efficiency for large-scale AI models. - Research and implement state-of-the-art techniques in model compression, quantization, and pruning. - Collaborate with data scientists, production engineers, and infrastructure teams to ensure seamless integration of optimized models into production environments. - Stay up to date with the latest advancements in AI model efficiency, distributed computing, and hardware acceleration.
Qualifications
Minimum Qualifications: - Master’s or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field. - 5+ years of experience in AI model training and inference optimization. - Strong proficiency in deep learning frameworks such as PyTorch and JAX. - Experience with distributed training techniques such as data parallelism, model parallelism, and pipeline parallelism. - Solid understanding of model compression techniques, including quantization, pruning, and knowledge distillation. - Proficiency in high-performance computing (HPC), CUDA, OpenCL, or other hardware acceleration libraries. - Experience working with ML compilers (e.g., TensorRT, XLA, TVM, ONNX Runtime) to optimize model inference. Preferred Qualifications: - Strong software engineering skills, including proficiency in Python, C++, and parallel computing. - Experience with large-scale distributed systems and orchestration tools such as Kubernetes, Ray, or Horovod. - Prior contributions to open-source AI optimization projects. - Background in research with publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, CVPR). - Knowledge in cutting-edge AIGC technologies and follow the most recent AIGC advancements, such as transformers and diffusion models.
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.

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, 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.

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

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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 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.
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