Harnham
Lead Machine Learning Engineer - Search & Recommendations
Harnham, San Francisco, California, United States, 94199
LEAD MACHINE LEARNING ENGINEER - SEARCH & RECOMMENDATIONS
Hybrid - Bay Area (3 Days/Week Onsite)
$160,000 - $190,000 Base + Equity
About the Company
Join a dynamic and rapidly expanding online marketplace supported by a significant global technology leader. Our platform enables millions of users to engage in buying and selling items within a vibrant, personalized, and community-driven environment.
As we continue to grow our engaged user base for both purchasing and selling, we are making substantial investments in AI and machine learning. Our goal is to enhance product discovery, create intuitive seller tools, and ensure a safer and more enjoyable experience for all users. We are expanding our Machine Learning Engineering team to elevate these experiences to new heights.
About the Role
We are in search of a
Lead Machine Learning Engineer
to spearhead vital AI/ML initiatives across our platform. In this role, you will design and implement machine learning systems that influence millions of users - from tailored recommendations and advanced search to improved seller tools and fraud detection functionalities. This role is ideal for an experienced ML engineer who craves ownership of projects from inception to deployment and desires to influence the future of a rapidly evolving and highly scalable marketplace. What You'll Be Doing Lead the development of essential ML systems for recommendations, personalization, and trust & safety Design both batch and real-time pipelines to transition models from experimentation to full production Collaborate with data scientists to transform prototypes into scalable, production-ready models Enhance and maintain MLOps systems, including serving, monitoring, and retraining Set technical direction across teams and mentor fellow engineers Collaborate with product and infrastructure teams to drive strategic decisions Our Tech Stack Languages & Frameworks:
Python, PyTorch, TensorFlow Tools:
Airflow, Spark, MLFlow, Databricks, Feature Store Infrastructure:
AWS + GCP, supporting real-time and batch workflows Model Serving:
Vector databases, scalable inference pipelines, model monitoring tools What We're Looking For 2+ years of engineering experience, with at least 1+ years focused on production ML systems Proven experience building and scaling recommendation, search, or personalization systems Strong understanding of distributed systems, model performance, and deployment in production Ability to design systems that effectively balance speed, reliability, and cost Experience in large-scale marketplaces, e-commerce, or other consumer-focused platforms Why You'll Love It Here Become part of a dedicated team that is making significant impacts on how people shop, discover, and sell online. You'll have the autonomy to lead major projects, influence technical strategies, and witness your contributions drive substantial business results, all within an encouraging and fast-paced environment.
Lead Machine Learning Engineer
to spearhead vital AI/ML initiatives across our platform. In this role, you will design and implement machine learning systems that influence millions of users - from tailored recommendations and advanced search to improved seller tools and fraud detection functionalities. This role is ideal for an experienced ML engineer who craves ownership of projects from inception to deployment and desires to influence the future of a rapidly evolving and highly scalable marketplace. What You'll Be Doing Lead the development of essential ML systems for recommendations, personalization, and trust & safety Design both batch and real-time pipelines to transition models from experimentation to full production Collaborate with data scientists to transform prototypes into scalable, production-ready models Enhance and maintain MLOps systems, including serving, monitoring, and retraining Set technical direction across teams and mentor fellow engineers Collaborate with product and infrastructure teams to drive strategic decisions Our Tech Stack Languages & Frameworks:
Python, PyTorch, TensorFlow Tools:
Airflow, Spark, MLFlow, Databricks, Feature Store Infrastructure:
AWS + GCP, supporting real-time and batch workflows Model Serving:
Vector databases, scalable inference pipelines, model monitoring tools What We're Looking For 2+ years of engineering experience, with at least 1+ years focused on production ML systems Proven experience building and scaling recommendation, search, or personalization systems Strong understanding of distributed systems, model performance, and deployment in production Ability to design systems that effectively balance speed, reliability, and cost Experience in large-scale marketplaces, e-commerce, or other consumer-focused platforms Why You'll Love It Here Become part of a dedicated team that is making significant impacts on how people shop, discover, and sell online. You'll have the autonomy to lead major projects, influence technical strategies, and witness your contributions drive substantial business results, all within an encouraging and fast-paced environment.