ML Scientist — TikTok Recommendation (PhD Graduate)

TikTok; San Jose (CA); Presencial; USD 162.000 - 317.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical insurance

Dental insurance

Vision insurance

401(k) with company match

Parental leave

Disability coverage

Life insurance

Wellbeing benefits

10 paid holidays per year

10 paid sick days per year

17 days Paid Personal Time

Descripción de la vacante

TikTok is hiring a Machine Learning Scientist Graduate for the Recommendation team in San Jose, with a 2026 start and a PhD from a relevant field. You will work on production recommendation models, drive product impact, and collaborate across teams to accelerate growth.

Candidates should be completing or having completed a PhD and be ready to onboard by year-end 2026. The role offers a comprehensive benefits package and opportunities to pursue bold ideas in a fast-paced environment.

Formación

• PhD in Software Development, Computer Science, Computer Engineering, or related technical discipline.
• Strong theoretical and empirical research background.
• Experience with PyTorch or TensorFlow and deep neural networks.

Responsabilidades

• Build and improve production-grade recommendation systems.
• Deliver end-to-end ML solutions addressing product challenges.
• Own full-stack ML system and optimize algorithms and infrastructure for performance.
• Collaborate with cross-functional teams to shape product strategy.

Conocimientos

Deep learning frameworks

Research experience

Python

C/C++

Educación

PhD in CS/Software/Engineering

Herramientas

PyTorch

TensorFlow

Shell programming

Descripción del empleo

TikTok is hiring a Machine Learning Scientist Graduate for the Recommendation team in San Jose, with a 2026 start and a PhD from a relevant field. You will work on production recommendation models, drive product impact, and collaborate across teams to accelerate growth.

Candidates should be completing or having completed a PhD and be ready to onboard by year-end 2026. The role offers a comprehensive benefits package and opportunities to pursue bold ideas in a fast-paced environment.