Machine Learning Engineer - GenAI , Ads Creative & Ecosystem

d iteration. We are looking for an engineer leader with strong data application background to join our fast growing team. The engineer leader will lead the team to focus on creative insights direction, grow business understanding, build highly scalable and reliable software/infrastructure, partner across functions with global teams, and make big impacts. If you are someone who welcomes challenges, we are eager to have you on the team!

Responsibilities:

• AI-Powered Video Editor: Enhance AIGC capabilities to accelerate video editing, including multimodal, multilingual script generation, video clip recommendation and remixing, AI dubbing, and auto video enhancement and decoration.
• Automated Image/Video Generation: Develop an end-to-end system to generate images and videos based on content descriptions, creative insights, and visual references. This system will autonomously analyze and replicate trending content and employ data-driven methods to refine content strategies.
• Technology Tracking and Application: Stay abreast of the latest advancements in multimodal and generative AI, along with emerging AIGC startups. Rapidly integrate these cutting-edge technologies to continuously optimize our AI products.

Qualifications

Minimum Qualifications:
• Bachelor's degree or higher in Computer Science, Artificial Intelligence, Mathematics, Electronic Information Engineering, or related fields with deep understanding of advertising and creative tech, with a passion for AI and content creation. Ability to design impactful AI solutions aligned with business needs.
• Solid foundation in computer vision and deep learning, familiar with common algorithms and neural network structures. Proficient with training frameworks like DeepSpeed and Megatron, and acceleration techniques such as model distillation, pruning, quantization, MoE, and FlashAttention.
• Comprehensive knowledge of advanced multimodal and generative AI models and their training techniques, including models like CLIP, BEIT, CoCa, BLIP2, InstructionBLIP, Flamingo, ChatGPT, LLaMA, Qwen-VL, and StableDiffusion.
• Ability to quickly improve the quality and effectiveness of image and video creatives through adaptive methods like Prompt Engineering, pre/post-processor plugin optimization, RAG/GraphRAG, AI-Agents, and Fine-tuning.

Preferred Qualifications:
• Extensive experience in model development and AI project deployment. Expertise in multimodal classification, retrieval, content matching, and video captioning. Skilled in creating high-quality content using LLM/MLLM/AIGC technologies.
• Insight into the technical evolution roadmap and future trends in AI subfields, including audio, image, video, and natural language processing. A strong preference for candidates with top-tier publications in related areas.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $136800 - $259200 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.