Senior Applied ML Engineer — End-to-End Model Lifecycle

Zof AI; San Francisco, Northern (CA, KY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Zof AI in San Francisco, CA is seeking a Senior Machine Learning Engineer to own the full model lifecycle from data to production. You will train, fine-tune, and evaluate models for production use, build datasets and pipelines, and manage training infrastructure with rigorous evaluation practices.

The role emphasizes hands-on ML work, strong evaluation discipline, and collaboration with AI and product engineers to ship models into features on-site in a fast-paced environment.

Qualifications

• Hands-on experience training and fine-tuning models.
• Strong grounding in ML fundamentals and evaluation methodology.
• Experience with Python and the modern ML stack.
• Experience building datasets and data pipelines.
• Strong software engineering discipline.
• Clear written and verbal communication.

Responsibilities

• Train, fine-tune, and evaluate models for production use.
• Build and maintain datasets, labeling pipelines, and data quality checks.
• Own training infrastructure and experiment tracking.
• Develop applied models that power verification and quality features.
• Establish rigorous evaluation and regression testing for models.
• Decide when to train, when to fine-tune, and when to call an API.
• Collaborate with AI and product engineers to ship models into features.
• Own the model lifecycle from data through production monitoring.

Skills

Model training

Model fine-tuning

Evaluation methodology

Python

Software engineering

Communication

Tools

PyTorch

JAX

TensorFlow

Experiment tracking

Job description

Zof AI in San Francisco, CA is seeking a Senior Machine Learning Engineer to own the full model lifecycle from data to production. You will train, fine-tune, and evaluate models for production use, build datasets and pipelines, and manage training infrastructure with rigorous evaluation practices.

The role emphasizes hands-on ML work, strong evaluation discipline, and collaboration with AI and product engineers to ship models into features on-site in a fast-paced environment.