Graduate ML Engineer – Vision, NLP & Multimodal AI

TikTok; Seattle (WA); On-site; USD 122,000 - 243,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Paid parental leave

Disability coverage

Life insurance

Paid time off & holidays

Job summary

TikTok is seeking a graduate-level contributor to join the algorithm team in Seattle, advancing state-of-the-art computer vision, NLP, and multimodal models to safeguard our platform. You will collaborate with product, engineering, and data science teams to translate bold ideas into scalable solutions.

The role offers onboarding by year-end and opportunities to grow within a fast-paced, globally impactful company.

Qualifications

• Bachelor's/Master's degree in computer science or a related discipline.
• Hands-on or academic experience in one or more of: Machine learning, Large Language Models, Recommendation Systems, and related areas.
• Strong coding skills.
• Curiosity towards new technologies and entrepreneurship, good communication and teamwork skills.

Responsibilities

• Collaborate with product teams to define business objectives and improve trust and safety strategy.
• Collaborate with engineering teams to deploy machine learning models, design online model workflow, and implement serving pipelines at scale.
• Collaborate with the data scientist team to understand the key challenges and propose data-driven strategies.
• Work on state-of-the-art content understanding techniques including unimodal/multimodal content classifiers, learning models, reinforcement learning models, and large language models.

Skills

Machine learning

Large Language Models

Strong coding skills

Team collaboration

Education

Bachelor's/Master's degree in Computer Science or related

Tools

Python

Job description

TikTok is seeking a graduate-level contributor to join the algorithm team in Seattle, advancing state-of-the-art computer vision, NLP, and multimodal models to safeguard our platform. You will collaborate with product, engineering, and data science teams to translate bold ideas into scalable solutions.

The role offers onboarding by year-end and opportunities to grow within a fast-paced, globally impactful company.