Graduate ML Engineer - Vision, NLP & Safety

TikTok

San Jose (CA)

On-site

USD 128,000 - 256,000

Full time

14 days+

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Benefits offered by this job

Medical coverage
401(k)
Parental leave
Short-term disability insurance
Long-term disability insurance
Life insurance
Wellbeing benefits
10 paid holidays
10 paid sick days
Paid Personal Time

Job summary

TikTok in San Jose is seeking an algorithm-focused engineer to advance state-of-the-art computer vision, NLP, and multimodal models for content safety and platform quality. You will collaborate with product and engineering teams to deploy models, design scalable workflows, and push data-driven strategies while handling diverse content.

Applicants should have a CS degree and experience in ML/LLMs, strong coding skills, and a collaborative mindset.

Qualifications

  • Bachelor's or Master's degree in computer science or related field.
  • Hands-on or academic experience in ML, LLMs, and recommendations systems.
  • Strong coding skills.
  • Curiosity towards new technologies and teamwork.

Responsibilities

  • Collaborate with product teams to define objectives and improve trust and safety strategy.
  • Collaborate with engineers to deploy ML 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, RL, and Large Language Models.

Skills

Machine Learning
Large Language Models
Recommendation Systems
Coding

Education

Bachelors or Masters in Computer Science

Job description

TikTok in San Jose is seeking an algorithm-focused engineer to advance state-of-the-art computer vision, NLP, and multimodal models for content safety and platform quality. You will collaborate with product and engineering teams to deploy models, design scalable workflows, and push data-driven strategies while handling diverse content.

Applicants should have a CS degree and experience in ML/LLMs, strong coding skills, and a collaborative mindset.

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