Machine Learning Engineer Graduate (TikTok Trust and Safety) - 2027 Start

Notre Dame; San Jose (CA); In loco; USD 140.000 - 210.000; Tempo pieno

Descrizione del lavoro

Notre Dame in San Jose seeks a talented machine learning specialist to shape trust and safety through data-driven strategies. You will partner with product and engineering teams to deploy models and design scalable, online workflows, ensuring robust serving pipelines at scale.

Collaborating with data scientists, you will address key challenges with data-driven approaches and develop state-of-the-art content understanding techniques, including unimodal/multimodal classifiers, learning models,

Competenze

• Bachelor's or Master's degree in computer science or a related discipline.
• Hands-on or academic experience in machine learning, large language models, recommendation systems, or related areas.
• Strong coding skills.
• Curiosity towards new technologies and entrepreneurship, with good communication and teamwork skills.

Mansioni

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

Conoscenze

Machine learning

Large language models

Reinforcement learning

Content understanding

Formazione

Bachelor's degree in Computer Science

Master's degree in Computer Science

Descrizione del lavoro

Your Role

Here’s what you will be doing:

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

About You

The company is looking for:

• Individuals completing or recently completed a Bachelor's or Master's degree in computer science or a related discipline.
• Hands-on or academic experience in machine learning, large language models, recommendation systems, or related areas.
• Strong coding skills.
• Curiosity towards new technologies and entrepreneurship, with good communication and teamwork skills.