Machine Learning Engineer

About Linotype

Linotype builds AI copilots that answer reader questions directly in articles, helping publishers retain audiences on their own sites. We're supported by Pear VC, Streamlined Ventures, 645 Ventures, and Hawktail.

The Role

Build and optimize the ML systems powering our AI platform. Work on RAG pipelines, embeddings, model fine-tuning, and inference optimization for production at scale.

What You'll Do

• Build multi-stage ad matching systems combining semantic retrieval with LLM-based relevance scoring
• Develop ML pipelines for campaign feature extraction, model training, and real-time inference
• Create agentic systems for campaign optimization, automated bidding, and advertiser assistance
• Deploy models with safeguards for brand safety, performance targets, and publisher requirements
• Design and execute A/B tests to measure CTR, conversion rates, and revenue impact
• Build monitoring dashboards and retraining loops driven by live campaign feedback
  
  

What We're Looking For

• 3+ years in applied ML engineering
• Experience with embeddings and LLMs for semantic matching and ranking
• A/B testing expertise and ability to measure business impact through experiments
• Production deployment experience with model serving, monitoring, and iteration
• Strong engineering fundamentals in algorithms, scalability, and system design
• Impact-driven mindset with care for advertiser ROI, publisher revenue, and user experience
  
  

Nice to Have

• Background in advertising or recommendation systems
• Published work in ML or contributions to open-source projects
• Domain knowledge in digital advertising or media platforms
• Experience with real-time inference optimization and low-latency model serving