Software Engineer Graduate (Applied Machine Learning - Enterprise) - 2026 Start (PhD)

Responsibilities

The Applied Machine Learning Enterprise team combines system engineering and machine learning to develop and operate a big model service platform that offers businesses Model-as-a-Service solutions (MaaS) to both the big model vendors and users. We are actively seeking talented Software Engineers specializing in Large Language Models (LLM) to join our team.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with ByteDance.

Responsibilities:
In this role, you will be at the forefront of cutting-edge research and development of advanced techniques for MaaS solutions including model post-training: fine-tuning (SFT), reinforcement learning (RL), reasoning, evaluation, test-time techniques, prompt optimization, multi-modality, and also LLM application/agent development. Your primary responsibility will be to:
- 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 is essential in this innovative and fast-paced team environment.
- Design and develop AI agents for a wide range of AI native applications, including multi-modality (image/video/audio). Continuously improve the agent's ability of understanding, reasoning, tool selection, taking actions at blazing fast speed.

Qualifications

Minimum Qualifications:
- PhD in Computer Science, Artificial Intelligence, or a related field.
- Have prior experience working with training or inference of large language models.
- Strong understanding of cutting-edge LLM research (e.g., long context, multi modality, finetuning, alignment, RL, agent, etc.) and possess practical expertise in effectively implementing these advanced systems.
- Proficiency in programming languages such as Python or C++ and a track record of working with deep learning frameworks or agent frameworks.

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.
- Experience with building LLM Applications, have a deep understanding of Agentic frameworks, RAG, Test-time scaling, Reasoning, Evaluation, Multi-modality, etc.
- Experience with deploying AI applications into production environments, prompt optimizing, testing and evaluation of AI systems, LLM application & agent development is desirable.
- Experience or publications in multi-modal is a plus, including image/video/audio understanding, text-to-image, text-to-video, etc.

Job Information

【For Pay Transparency】Compensation Description (Annually)

The base salary range for this position in the selected city is $145000 - $250000 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 confid