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Harnham is looking for a Senior Staff/Technical Lead Machine Learning Engineer to lead and build ML-powered products focusing on ad optimization and recommendation systems. The role involves designing and deploying machine learning models, developing ML pipelines, collaborating with product and R&D teams, and contributing to scalable infrastructure development. Candidates should have an MSc/PhD in a STEM field, experience in machine learning systems, particularly in AdTech and recommender systems, and familiarity with cloud platforms and ML tools.

Harnham is looking for a Senior Staff/Technical Lead Machine Learning Engineer to lead a team focusing on building and scaling ML-powered products primarily for ad optimization and recommendation systems. The ideal candidate will have a strong background in AdTech and be experienced in deploying machine learning systems in commercial settings, with hands-on experience in Cloud platforms and orchestration tools.

Harnham is looking for a Senior Staff/Technical Lead Machine Learning Engineer to design, build, and deploy end-to-end machine learning models with a focus on ad optimization, recommendation systems, and personalization. This role demands proficiency in ML system deployment, orchestration tools, and a strong background in AdTech.

Harnham is seeking a Senior Staff/Technical Lead Machine Learning Engineer to join and lead a team in Santa Clara, CA. The ideal candidate will design, build, and deploy end-to-end machine learning models focused on ad optimization and recommendation systems. Responsibilities include developing ML pipelines, partnering with product and R&D teams, leading model evaluation, and contributing to scalable infrastructure. A strong background in AdTech, orchestration tools, and cloud platforms is required.

Harnham is looking for a Senior Staff/Technical Lead Machine Learning Engineer to join their mission-driven tech company focused on behavioral modeling and personalization. This role is central to building and scaling ML-powered products, specifically in ad optimization and recommendation systems. You will lead the design, development, and deployment of machine learning models while collaborating with cross-functional teams to deliver innovative AI solutions.

Harnham is looking for a Senior Staff Machine Learning Engineer to lead a team focused on building and scaling ML-powered products for ad optimization and recommendation systems. The ideal candidate will have a background in AdTech or recommender systems, experience in deploying machine learning systems in a commercial setting, and familiarity with orchestration tools and cloud platforms.

Harnham is looking for a Senior Staff/Technical Lead Machine Learning Engineer to lead a team in building and scaling ML-powered products with a focus on ad optimization and recommendation systems. This role demands expertise in ML, cloud technologies, and a strong background in AdTech or recommender systems, aiming at creating impactful AI solutions for top global brands.

Harnham is looking for a Senior Staff/Technical Lead Machine Learning Engineer to lead a team. This role involves designing, building, and deploying machine learning models focused on ad optimization and recommendation systems. The ideal candidate will have proven experience in machine learning systems and a strong background in AdTech or recommender systems.

Harnham is looking for a Senior Staff Machine Learning Engineer to lead a team focused on innovative AI solutions. The role involves designing and deploying end-to-end machine learning models for ad optimization and recommendation systems. Candidates should have a proven background in ML systems and experience in AdTech or recommender systems.

Harnham is looking for a Technical Lead Machine Learning Engineer to join and lead a team focused on building and scaling ML-powered products, particularly in ad optimization and recommendation systems. This role involves designing, building, and deploying machine learning models, developing ML pipelines, partnering with product and R&D teams, and staying ahead of emerging ML techniques. The ideal candidate will have a strong background in AdTech or recommender systems, hands-on experience with orchestration tools and data infrastructure, and knowledge of cloud platforms and ML tooling.