Sr. Multimodal Model Training and Inference Optimization Engineer

Sr. Multimodal Model Training and Inference Optimization Engineer

Location:

San Jose

Team:
Technology

Employment Type:

Regular

Job Code: A193505

• Optimize large model training pipelines to improve efficiency, speed, and scalability.
• Develop and improve distributed training strategies such as data parallelism, model parallelism, pipeline parallelism and communication to accelerate model training.
• Benchmark and profile deep learning models to identify performance bottlenecks and optimize computational resources.

• M.S or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field.
• 3+ years experience in AI model training optimization.
• Strong software engineering skills with proficiency in Python, C++, and CUDA.
• Strong proficiency in deep learning frameworks such as PyTorch, Megatron and Deepspeed.
• Experience with distributed training techniques such as data parallelism, model parallelism, and pipeline parallelism.
• Knowledge of transformers and diffusion models.
• Preferred: publications at conferences such as MLSys, NeurIPS, ICLR, or ICML.
• Strong communication and teamwork skills.
• Self‑motivated and strong problem‑solving skills.
• Ability to work collaboratively in multi‑functional teams.
• Experienced in implementing and optimizing complex and performance‑critical systems.

The base salary range for this position in the selected city is $244,800 - $450,000 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.

• Medical, dental, and vision insurance with day‑one access.
• 401(k) savings plan with company match.
• Paid parental leave.
• Short‑term and long‑term disability coverage.
• Life insurance.
• Wellbeing benefits.
• 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).

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.

Byte Dance 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