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:

• Play a significant role in transitioning to state-of-the-art technology
• Collaborate with machine learning teams to design and implement seamless workflows for continuous model training, inference, and monitoring, including classical machine learning and LLM-based models
• Develop, design, and maintain end-to-end ETL and ELT workflows, including data ingestion and transformation logic, involving different data sources
• Enhance the scalability and performance of existing data pipelines, while working on building new data pipelines specifically for machine learning models
• Become an expert in our data infrastructure, providing first-line triage and troubleshooting for key business partners with data queries
• Maintain and improve existing processes running in production 
• Promote a culture of open dialogue with business partners for strategic agility in decision-making.
• Develop systems and tools to empower the team to find answers independently
• Liaise with engineers, product managers, and product analysts to understand data needs

Here is what is needed:

• 5+ years of working with data, with a proven track record of delivering solutions that support the product and/or internal stakeholders.
• 3+ years of experience deploying machine learning solutions in production environments.
• Proficiency in Python and its scientific packages.
• Profound familiarity with SQL, data modeling, and data warehouse platforms.
• Experience with machine learning operations platforms (MLOps).
• Experience with containers and Kubernetes environments.
• Experience working with cloud providers such as AWS, GCP, or Azure.
• You will create efficient, readable code with attention to detail, considering all aspects of a feature, such as security and cost, while maintaining a broad perspective.
• Independent, Resourcefulness, with creative problem-solving skills who are not afraid of challenges or unknowns.
• Team player with a passion for collaboration and driving growth in a fast-paced environment.
• Excellent communication skills (Hebrew & English) with the ability to distill complex problems into clear and concise insights.

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.

Follow us on Medium, BuiltIn and Instagram to catch the latest stories about HoneyBook.

Applicant Information
When you apply for a job or an independent contractor/agent position with HoneyBook, we collect the information that you provide in connection with your application. This includes name, contact information, professional credentials and skills, educational and work history, and other information that may be included in a resume or provided during interviews (which may be recorded). This may also include demographic or diversity information that you voluntarily provide. We may also conduct background checks and receive related information.

We use applicants’ information to facilitate our recruitment activities and process applications, including evaluating candidates and monitoring recruitment statistics. We use successful applicants’ information to administer the employment or independent contractor relationship. We may also use and disclose applicants’ information (a) to improve our Services, (b) as otherwise necessary to comply with relevant laws, (c) to respond to subpoenas or warrants served on HoneyBook, and (d) to protect and defend the rights or property of HoneyBook or others.

Our Privacy Policy is here.