Machine Learning Engineer Business Governance Technology - Algorithm Regular

San Jose

Regular

A82932A

- About the Team We are building next-generation Trust & Safety systems powered by large language models and multimodal foundation models to protect Tik Tok, Lemon8, and short-form video platforms. Our team focuses on multimodal reasoning, content understanding, and large-scale risk detection across text, image, audio, and video. We actively explore and product ionize cutting-edge technologies such as LLM post-training, multimodal models, and AI Agents to build intelligent, scalable, and adaptive content moderation systems.

- Responsibilities
- What You'II Do
- Develop content safety algorithms for Tik Tok, Lemon8, and short-form drama platforms, covering multimodal understanding and risk detection across video, text, image, and audio
- Leverage machine learning, deep learning, and large model technologies to improve content moderation pipelines, enhance operational efficiency, and ensure model robustness and production stability
- Own the training and application of LLMs and MLLMs for content safety use cases, including post-training techniques such as SFT, RLHF, DPO, and safety alignment
- Drive the exploration and productionization of emerging capabilities such as AI Agents, multimodal reasoning, and video understanding to build next-generation intelligent moderation systems

• Bachelor degree or above in Computer Science, Software Engineering, Artificial Intelligence, Mathematics, or related fields
• Strong understanding of machine learning and deep learning, with familiarity with Transformer architectures, LLMs, and MLLMs
• Hands-on experience in Python, PyTorch, distributed training, and large-scale data processing, with solid algorithmic and engineering capabilities
• Proven ability to solve complex problems and collaborate effectively in cross-functional teams, with a track record of driving projects to high-quality execution

• Hands-on experience with LLM post-training, multimodal understanding, AI Agents, or Trust & Safety systems is desirable
• Publications in academic conferences such as NeurIPS、ICML、ICLR、CVPR、ECCV、ICCV、ACL、EMNLP、NAACL、Interspeech、ICASSP, and others are a strong plus

The base salary range for this position in the selected city is $162000 - $387600 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.

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…