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Location: Petah Tikva
Job Type: Full Time
Required Senior Machine Learning Engineer, Foundational Models and Agentic systems
Company Overview:
We are the global financial technology platform that powers prosperity for the people and communities we serve. With tens of millions of customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
Job Overview
Join the innovative Generative AI group, to help build the next generation of awesome products and experiences using cutting-edge technology.
If you love having stretch goals, challenges, and making customers incredibly happy while fostering your obsessive need for elegant, state of the art technology which drives impact and creates awesome user experiences, this is the job for you.
You will collaborate with many teams and contribute to many components in different business units. We love engineers who lead the change, communicate with customers, and deliver the most beautiful and intuitive applications.
In this role, youll:
Be part of a vibrant team of Data Scientists and ML Engineers
Be expected to help code, optimize, and deploy GenAI models at scale, using the latest industry tools and techniques
Help automate, deliver, monitor, and improve GenAI solutions
Responsibilities:
Design and build systems, which improve Generative AI inference, quantization, optimization, finetuning, and evaluation
Work cross-functionally with product managers, data scientists, and engineers to understand, implement, refine, and design Generative AI models
Effectively communicate results to peers and leaders
Explore the state-of-the-art technologies and apply them to deliver customer benefits.
Interact with a variety of data sources, working closely with peers and partners to refine features from the underlying data and build end-to-end pipelines.
Requirements:
LLM experience: LangChain, vLLM, HuggingFace toolkit
Machine Learning oriented languages, tools, and frameworks: Spark, Python
Cloud technologies, in particular AWS, and Software container technology: Docker, Kubernetes, KubeFlow / MLflow
Experience with designing and developing Generative AI architectures
Machine learning techniques (classification, regression, and clustering) and principles (training, validation, and testing)
Data query and data processing tools or systems: relational, NoSQL, stream processing
Distributed computing systems and related technologies: Spark, Hive
Software engineering fundamentals: version control systems (Git, Github) and workflows, and ability to write production-ready code
Computer science fundamentals: data structures, algorithms, performance, complexity, and implications of computer architecture on software performance (I/O and memory tuning)
Mathematics fundamentals: linear algebra, calculus, probability
BS, MS, or PhD degree in Computer Science or related field, or equivalent practical.
This position is open to all candidates.
 
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20/08/2026
חברה חסויה
Location: Petah Tikva
Job Type: Full Time
A growing B2B SaaS company is looking for an experienced Head of Data Science to lead its Data Science function and drive the next generation of AI and machine learning capabilities.

This is a strategic leadership role combining people management, hands-on problem-solving, cross-functional collaboration, and ownership of data-driven innovation across the organization.

Responsibilities

Lead and mentor a global team of Data Scientists.

Define and execute the company's Data Science strategy.

Drive the development of advanced machine learning, optimization, and forecasting solutions.

Partner closely with Product, Engineering, Customer Success, and executive leadership.

Translate complex business challenges into scalable analytical solutions.

Support customer-facing initiatives and strategic engagements when needed.

Establish best practices for experimentation, model evaluation, and performance measurement.

Act as a key stakeholder in shaping the company's AI vision and roadmap.
Requirements:
Requirements

8+ years of experience in Data Science, Machine Learning, Statistics, Operations Research, Economics, or a related field.

Proven experience leading Data Science teams.

M.Sc. or Ph.D. in a quantitative discipline.

Strong expertise in machine learning, predictive analytics, optimization, forecasting, and statistical modeling.

Experience in fintech, revenue optimization, forecasting, recommendation systems, retail technology, or similar data-intensive domains.

Strong business orientation and ability to connect analytical insights to business outcomes.

Excellent communication and stakeholder management skills.

Experience working in a SaaS environment.

Fluent English.


Advantage

Experience with Generative AI and LLM-based applications.

Experience working with enterprise customers.

Experience managing distributed teams.
This position is open to all candidates.
 
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