HoneyBook
Technology
SeniorMachineLearningEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Machine Learning Engineer at HoneyBook. Skills: Machine Learning, MLOps, LLM systems. Integrate LLM-based systems. Productionize LLM-based systems”
Industry & Context.
Scoping unclear requests; Speed vs robustness tradeoffs
What They're Looking For.
Must Have
4+ years production engineering, 3+ years data-intensive systems, Hands-on LLM experience, Distributed systems fluency, Workflow orchestration experience, Collaboration skills, Communication skills
Nice to Have
MLOps tooling experience, SQL fluency, Data warehouse fluency
What You'll Do.
Integrate LLM-based systems
Productionize LLM-based systems
Manage prompt registries
Manage model gateways
Build agentic workflows
Own MLOps infrastructure
Maintain feature store
Build vector database
Maintain vector database
Maintain training tools
Build monitoring tools
Maintain monitoring tools
Build AI microservices
Integrate internal data
Collaborate with data scientists
Collaborate with engineers
Collaborate with product managers
Turn ideas into systems
Iterate from prototype to production
Own initiatives end-to-end
Design production deployment
Deploy production systems
Monitor production systems
Document production systems
Hand off production systems
How You'll Work.
Team & Collaboration
Data scientists; Engineers; Product managers
Communication Scope
Hebrew; English
Full Job Description
HoneyBook is the leading AI-powered business management platform for service-based business owners. Designed to enhance - not replace - independent professionals. HoneyBook’s AI-powered tools help businesses attract leads, connect with clients, book projects, and manage payments more efficiently. With AI seamlessly integrated into every workflow, entrepreneurs can focus on their craft while scaling their businesses with confidence. Since its founding in 2013, HoneyBook has powered over 25 million client relationships and processed more than $12 billion in transactions, helping independent businesses grow faster and smarter. Our culture is built on five core values that inform everything we do. We encourage collaboration, feedback, ownership, and maintain a growth mindset. We know experience comes in many forms - some visible on your resume, others not. No one candidate will be a 100% perfect match to our description, so if you thrive in a fast-paced, intellectually curious environment and have relevant experience, we encourage you to apply. We're looking for a ML Engineer to join our Data team in Tel Aviv. Our team sits at the heart of HoneyBook's data stack - we build and maintain the infrastructure, pipelines, and AI-powered systems that DS, product, marketing and other stakeholders rely on to move fast and make smart decisions. What you'll work on: - Integrate and productionize LLM-based systems: from prompt registries and model gateways to agentic workflows - with a focus on reliability, observability, and cost efficiency. - Own our core MLOps infrastructure: build and maintain our feature store, vector database, training and monitoring tools, etc.- so DS and product teams can ship AI features without infrastructure becoming the bottleneck. - Build AI-powered Python microservices that integrate LLMs, scraping, pipelines and internal data into product features used by hundreds of thousands of businesses. - Collaborate deeply with data scientists, engineers and pr
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