Machine Learning Engineer

What this role involves

Firecrawl is hiring a Machine Learning Engineer to build and ship ML models for search ranking, relevance, and extraction quality. The role involves owning the full lifecycle of models, designing A/B testing frameworks, and working with large-scale data pipelines. The position is hybrid in San Francisco, offering a salary of $210,000-$240,000, and requires 3+ years of production ML experience.

Skills this posting asks for

• machine learning
• ranking
• relevance modeling
• learning-to-rank
• query understanding
• llm-driven retrieval
• feature engineering
• model training
• model deployment
• model monitoring
• model retraining
• a/b testing
• experimentation frameworks
• data pipelines
• python
• mlops
• mlflow
• experiment tracking
• model registries
• feature stores
• kubernetes
• embedding models
• vector retrieval
• llm-based relevance evaluation

Requirements

• 3 years of experience
• Level: senior
• Remote policy: hybrid
• Visa sponsorship: no

From the employer’s posting

MACHINE LEARNING ENGINEER   You'll build the ML behind Firecrawl — the models and the systems that serve them. That starts with search: training and shipping the ranking and relevance models for one of our fastest-growing products, then extending that work across extraction quality and LLM-driven…