Graduate ML Engineer – Vision, NLP & Multimodal AI

TikTok

Seattle (WA)

On-site

USD 122,000 - 243,000

Full time

14 days+
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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.

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