Machine Learning Engineer- Cloud Deployment (Remote) Job at Harnham in San Mateo

STAFF MACHINE LEARNING ENGINEER Hybrid – Bay Area (3 Days/Week Onsite) $280,000 – $315,000 Base + Bonus + Equity We’re a fast-growing online marketplace backed by a major global tech player. Our platform helps millions of people buy and sell items in a way that feels social, personalized, and community-driven. With a strong base of engaged users on both the buying and selling side, we're investing heavily in AI and machine learning to improve product discovery, build smarter seller tools, and make the platform safer and more enjoyable for everyone. We're now growing our ML Engineering team to help make these experiences smarter, faster, and more scalable. We're looking for a Staff Machine Learning Engineer to lead some of the most critical AI/ML initiatives across our platform. You’ll be responsible for designing and building machine learning systems that impact millions of users — from personalized recommendations and smarter search to seller tools and fraud detection. This is a high-impact, hands-on role best suited for someone with deep experience in ML systems who wants to own projects end-to-end and help shape the future of a fast-moving, high-scale marketplace. Lead development of core ML systems that power recommendations, personalization, and trust & safety Design both batch and real-time pipelines that take models from experimentation to full production Collaborate with data scientists to turn prototypes into scalable, production-ready models Improve and maintain our MLOps systems (serving, monitoring, retraining, etc.) Help set technical direction across multiple teams and mentor other engineers Languages & Frameworks: Python, PyTorch, TensorFlow Tools: Airflow, Spark, MLFlow, Databricks, Feature Store Infrastructure: AWS + GCP, supporting real-time and batch workflows Vector databases, scalable inference pipelines, model monitoring tools 7+ years of engineering experience, including 3+ years working on ML systems in production ~ Deep experience building and scaling recommendation, search, or personalization systems ~ Strong understanding of distributed systems, model performance, and production deployment ~ Bonus: experience working on large-scale marketplaces, e-commerce, or other consumer platforms You’ll join a small but mighty team making a real difference in how people shop, discover, and sell online. You’ll have the freedom to lead major projects, contribute to technical strategy, and see your work drive real business results — all within a supportive, fast-paced environment.