ML Engineer: Personalization & Production Deployment

Studdy; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health insurance

Paid time off

Learning budget for courses and confs.

Free Studdy subscription for your fam

Job summary

Studdy Lab in San Francisco seeks a machine learning engineer to train, evaluate and deploy models powering personalized learners and content quality.

You will own data pipelines for training and evaluation, build scalable ML solutions, and collaborate with AI engineers and product teams to ship new features. Excellent English communication is essential; basic French is required before visa application. This role includes health benefits, paid time off and a learning budget.

Qualifications

• 3+ years in machine learning engineering.
• Excellent English communication, spoken and written.
• Basic French: an A2 French certificate is required before your visa application.
• Strong Python and ML frameworks (PyTorch or similar).
• Experience deploying models to production.

Responsibilities

• Build and evaluate ML models for personalisation and quality.
• Own data pipelines for training and evaluation.
• Deploy and monitor models in production.
• Work with AI engineers and product on new features.

Skills

English communication

French (A2)

Python

PyTorch or similar

Production deployment

Tools

Python

PyTorch

Job description

Studdy Lab in San Francisco seeks a machine learning engineer to train, evaluate and deploy models powering personalized learners and content quality.

You will own data pipelines for training and evaluation, build scalable ML solutions, and collaborate with AI engineers and product teams to ship new features. Excellent English communication is essential; basic French is required before visa application. This role includes health benefits, paid time off and a learning budget.