Machine Learning / AI Engineer

Develop and integrate large language models and machine learning solutions for ad tech applications. Requires expertise in NLP, LLMs, and production ML systems.

This senior individual-contributor role focuses on architecting and maintaining high-performance feature pipelines (batch, streaming, point-in-time correct) for Cognitiv's real-time bidding systems. The engineer will own model training pipeline optimization, integrate LLM/deep learning embeddings into the feature store, and establish technical standards for monitoring and CI/CD. Requires 3-5+ years of ML infrastructure experience, proficiency in Python/Java/Scala, and deep expertise in AdTech and big data technologies like Spark, Flink, and Kafka.

Design and implement machine learning models to optimize ad targeting and bidding algorithms. Requires strong ML background and experience with large-scale data.

This Machine Learning Engineer III role is responsible for building and scaling ML pipelines and platforms for CommerceIQ's B2B SaaS products. The engineer will deploy ML models in production, including LLMs on GPUs, and own the ML infrastructure roadmap. Key responsibilities include developing end-to-end pipelines, implementing scaling best practices, and managing model performance monitoring.

Senior demand sales role focused on driving demand-side partnerships and revenue in the West region. Leverages deep industry experience to grow Lemma's demand business.

Plan and execute media campaigns across channels, optimizing for performance and client objectives. Coordinate with internal teams to ensure successful campaign delivery.

Lead the design and development of advanced ML/AI systems for Lemma's platform. Mentor junior engineers and drive technical strategy for AI initiatives.