Machine Learning Data Engineer

3 days ago

Petah Tikva Center District, Israel Cellebrite Full time ₪120,000 - ₪240,000 per year

Company Overview:

Cellebrite's (Nasdaq: CLBT) mission is to enable its global customers to protect and save lives by enhancing digital investigations and intelligence gathering to accelerate justice in communities around the world. Cellebrite's AI-powered Digital Investigation Platform enables customers to lawfully access, collect, analyze and share digital evidence in legally sanctioned investigations while preserving data privacy. Thousands of public safety organizations, intelligence agencies and businesses rely on Cellebrite's digital forensic and investigative solutions-available via cloud, on-premises and hybrid deployments-to close faster and safeguard communities.

To learn more, visit us at ,

and find us on social media @Cellebrite.

Position Overview:

Join our AI SaaS Team
and take a
pivotal role
in shaping the next generation of forensic AI solutions.

You'll design and build the
infrastructure, tools, and pipelines
that empower our researchers and data teams to innovate faster and smarter.

In this role, you'll work
side-by-side with data scientists and AI researchers
to transform ideas into reality — integrating
multi-modal data
,
state-of-the-art machine learning models
, and
intuitive interfaces
into scalable solutions.

You'll also take ownership of
AI/GenAI infrastructure
and bring
MLOps best practices
into play, ensuring smooth data flows, efficient model training, and seamless deployments.

This is your chance to
bridge research and engineering
, influence cutting-edge products, and deliver
impactful forensic insights
to investigators worldwide.

Key Responsibilities

  • Develop and maintain
    AI/GenAI infrastructure
    : training environments, pipelines, and data storage.
  • Build
    scalable data pipelines
    for acquisition, transformation, and integration of multi-modal data.
  • Support researchers by creating
    tools, visualizations, and prototypes
    for experiments and POCs.
  • Collaborate with data scientists and engineers to
    operationalize AI models
    into Cellebrite's SaaS products.
  • Design and maintain
    cloud-native MLOps solutions
    for scalable deployments.

Requirements:

  • 5+ years
    of hands-on
    software engineering
    (Python ecosystem a must).
  • Solid understanding of
    AI/ML concepts
    and practical experience with ML libraries (PyTorch, Hugging Face, Scikit-learn).
  • 2+ years
    experience building
    MLOps pipelines
    (data collection, training, deployment).
  • Familiarity with
    Databricks
    (advantage).
  • Experience with
    AWS
    (S3, EC2, SageMaker/Bedrock, Lambda).
  • Hands-on work with
    databases
    : SQL, NoSQL, and vector stores.
  • Knowledge of
    CI/CD practices
    and DevOps tools (Docker, Jenkins, GitHub Actions, Artifactory) — advantage.
  • UI prototyping experience (Streamlit, Gradio, HTML/JS/CSS) — advantage.
  • Familiarity with
    agentic AI frameworks
    (LangChain, PydanticAI, Google AI SDK) — advantage.

Why Join Us?

Help us bridge research and engineering
to build next-generation AI-powered solutions that accelerate investigations and deliver meaningful impact worldwide.

You will work with
top AI, Data and Engineering talents
, cutting-edge technologies, and a dynamic, collaborative team.

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