Senior ML Engineer

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 have 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-charged environment and have similar experience to what we are looking for, we encourage you to apply.

We are on the search for a Senior Machine Learning Engineer who will join our Data team in Tel Aviv. As a Senior ML Engineer in a Data-Driven company, you will have a significant opportunity for impact. You will be part of the team that turns data into solutions that influence the product and drive strategic business decisions that shape the direction of the company. 

 Here are a few of the things you will do:

• Own the end‑to‑end ML lifecycle: design, build, and operate data ingestion, feature‑store, training, evaluation, CI/CD, and low‑latency serving pipelines that power HoneyBook’s AI experiences—lead qualification, generative content, conversational assistance, and more.
• Collaborate deeply with AI researchers, engineering managers, and product managers to transform product ideas into reliable, scalable ML systems, iterating quickly from prototype to production.
• Advance our MLOps platform by developing orchestrations, model registries, automated monitoring, and retraining workflows that enable shipment of AI features autonomously and safely.
• Elevate engineering culture through code reviews, documentation, mentorship, and promoting experimentation and data‑driven decision making.

Here is what is needed:

• 5+ years building data‑intensive or distributed production systems with Python and relevant ML ecosystems, shipping production software.
• 3+ years deploying machine‑learning models (classical and/or LLM) in cloud environments (AWS/GCP/Azure) with containers and Kubernetes.
• Hands‑on experience with MLOps toolstooling (e.g., MLflow, Kubeflow, SageMaker, Vertex AI, Feast or equivalent).
• Proven track record creating robust data/feature pipelines for ML and instrumenting real‑time monitoring for drift and performance.
• Strong software‑engineering fundamentals: version control, automated testing, CI/CD, security, and cost awareness.
• Excellent collaboration and communication skills in Hebrew and English; comfortable working closely with cross‑functional partners and mentoring peers.
• Mindset of ownership, curiosity, and bias for action in a fast‑moving environment.

The good stuff:

Mission-driven: You'll be joining more than just another startup - our members are at the heart of everything we do.Impact: We move quickly and encourage every employee to push the envelope. Our best ideas come from out-of-the-box thinking and innovation; be ready to fail fast and often!Compensation: We offer a competitive salary + meaningful equity based on merit.Benefits + Perks: From wellness programs to exceptional family leave policies, the health and happiness of our employees is foremost.

Our core values:

People come first: We prioritize people as we explore opportunities and work through challenges.
Raise the bar: We push for greatness—for ourselves, each other, and our members.
Own it: Trust and ownership let us make decisions with confidence.
We love what we do: We bring passion to our work and love what we create for our members.
Keep it real: Authenticity, respect, and transparency are at our core.

The opportunity at HoneyBook is huge. Our primary customers today are creative businesses that generate $150B in revenue per year in the US. Founded in 2013, HoneyBook is based in San Francisco and Tel Aviv, has raised $498M, and is funded by Tiger Global Management, Norwest Venture Partners, Aleph, Hillsven Capital, OurCrowd, Durable Capital Partners LP, Vintage Investment Partners, Battery Ventures, Citi Ventures, Zeev Ventures, and 01 Advisors.

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