Quick Summary
Bloomreach is building the world’s premier agentic platform for personalization.We’re revolutionizing how businesses connect with their customers,
- We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses.
- We’re making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise — available on demand, at every touchpoint in their journey.
- We're designing the future of autonomous marketing, taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do.
Bloomreach is seeking a seasoned Staff Machine Learning Engineer to join our Search Quality team and lead the design and implementation of machine learning and Al-driven solutions that improve search relevance and discovery experiences for our customers. The Search Quality team focuses on building intelligent, scalable solutions that understand user queries, product catalogs, and behavioral signals to deliver the most relevant search results. We work at the intersection of Machine Learning, Information Retrieval, Search Relevance, and Software Engineering to solve challenging problems across the search stack. This is a Staff ML Engineer role, so we are looking for someone who can combine strong ML expertise with solid software engineering skills and take end-to-end ownership of complex technical problems. You will work closely with engineers, architects, and product teams to research, build, evaluate, and productionize ML-driven solutions for search.
Responsibilities
~1 min readIf this position doesn't suit you, but you know someone who might be a great fit, share it - we will be very grateful!
Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Bloomreach are considered property of Bloomreach and are not subject to payment of agency fees.
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Location & Eligibility
Listing Details
- Posted
- September 25, 2026
- First seen
- September 25, 2026
- Last seen
- September 28, 2026
Posting Health
- Days active
- 2
- Repost count
- 1
- Trust Level
- 61%
- Scored at
- September 28, 2026
Signal breakdown
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