Machine Learning Engineer

About the Role

Zof AI is searching for a dedicated Machine Learning Engineer to join their San Francisco, CA team in a full-time, on-site position. The successful candidate will contribute to developing cutting-edge AI products in a dynamic and high-performance setting. This position prioritizes practical experience with training, fine-tuning, and assessing machine learning models rather than solely building them on top of pre-existing systems.

Key Responsibilities

• Train, fine-tune, and rigorously evaluate machine learning models for production deployment.
• Build and sustain datasets, labeling workflows, and ensure data quality control.
• Manage training infrastructure and monitor experiment progress thoroughly.
• Create applied models that enhance verification and quality assurance within Zof AI's products.
• Implement comprehensive evaluation methods and regression testing to maintain model integrity.
• Make informed decisions on when to train new models, fine-tune existing ones, or utilize API calls.
• Collaborate closely with AI and product engineers to integrate models effectively into features.
• Oversee the entire lifecycle of models, covering data preparation through to production monitoring.

Candidate Requirements

• Proven practical experience in training and fine-tuning machine learning models.
• Strong theoretical knowledge of machine learning principles and evaluation methodologies.
• Proficiency with Python and a contemporary machine learning technology stack.
• Experience in developing datasets and constructing data pipelines.
• Solid software engineering skills and disciplined development practices.
• Effective written and oral communication skills.
• Able to thrive in a fast-evolving and agile workplace.
• Track record of deploying models to production or performing systematic applied ML work.

Preferred Qualifications

• Experience in fine-tuning large language models or handling embeddings at scale.
• Familiarity with frameworks like PyTorch, JAX, or equivalent.
• Knowledge of model serving techniques and inference optimization.
• Contributions to published research, competitive achievements, or notable open-source projects.

Benefits and Work Environment

• Provision of a MacBook Pro for work.
• Access to premium AI development tools such as Cursor Ultra, Claude Code Ultra, and OpenAI Codex Max or similar advanced AI software.
• Work inside a high-performance AI product ecosystem in San Francisco.
• Close interaction with leadership, engineering teams, and customers.
• Opportunities to engage directly with the vibrant San Francisco AI community.
• Support aimed at wellness and productivity where appropriate.
• A competitive startup atmosphere offering significant ownership and direct product influence.

Additional Information

The compensation package includes a competitive salary along with meaningful equity options. Benefits are subject to the specific role and final employment agreement terms.