AI Engineer

Reposted 14 Days Ago
Be an Early Applicant
Hiring Remotely in Petah Tikva
In-Office or Remote
Senior level
Software • Analytics • Cybersecurity
The Role
As an AI Engineer, develop AI solutions for data parsing from forensic extractions, design and maintain C# .NET code, and collaborate with multidisciplines.
Summary Generated by Built In

Company Overview:

Cellebrite (Nasdaq: CLBT) is a global leader in digital intelligence solutions, empowering law enforcement, intelligence agencies, and enterprises to protect and save lives, accelerate justice, and make communities safer.

Cellebrite’s AI-powered Digital Intelligence Platform enables lawful access, collection, analysis, and sharing of digital evidence, while preserving data privacy and ensuring compliance.

Our solutions are trusted by thousands of agencies and organizations worldwide, across cloud, on-premises, and hybrid deployments.

For more information, visit www.cellebrite.com

or follow us @Cellebrite.

Position Overview:

The Forensic Research Group (FRG) is looking for an AI Engineer to help shape the next generation of forensic research tools at Cellebrite.

In this role, you will lead the integration of advanced AI capabilities into a C# and .NET based environment at the core of our products.

You will work on unifying our codebase and internal tools into a single MCP powered ecosystem that improves the productivity of developers and researchers.

You will also upgrade our automation workflows by replacing fragile processes, such as Appium-based data insertion, with AI-driven solutions that are faster, more reliable,

and scalable.

In addition, you will explore forensic data, evaluate models, and apply GenAI and heuristic techniques to develop new methods for identifying and parsing digital artifacts.

If you enjoy building impactful AI systems, solving challenging data problems, and empowering teams to work more efficiently, this role offers a meaningful opportunity to

influence the future of digital forensics.

Key Responsibilities:

  • Develop and implement AI solutions to parse and analyze data from forensic extractions, including mobile devices.
  • Design, build, test, and maintain efficient, reusable, and reliable C# .NET code with integration to cloud services in AWS.
  • Utilize heuristic-based methods and GenAI technologies to enhance data identification and classification.
  • Research, explore data, assess, and implement the best models to solve various forensic research problems.
  • Collaborate with other professionals across the company, combining AI, Forensic Research, and Engineering expertise.
  • Translate forensic research methods into AI algorithms and innovation suggestions.

Location - Israel, Petah

  • Proven experience in AI engineering, with a focus on data parsing and analysis.
  • Over 3 years of hands-on experience in object-oriented development, preferably using .NET C#
  • Familiarity with cloud technologies, preferably in an AWS environment.
  • Fluency with scripting languages like Python for research purposes.
  • Excellent communication skills and the ability to work independently.
  • Strong problem-solving skills and attention to detail.
  • Self-learning skills and motivation to make an impact.

Additional Preferred Qualifications:

  • Experience in forensic research and reverse engineering of mobile apps.
  • Proficiency in server-side development, including multi-threaded and asynchronous programming.
  • Background in Data Science, Machine Learning, or algorithm development.
  • Experience with multi-agent frameworks, SQL AI agents, and model assessment.
  • Experience in conducting performance testing and profiling.
  • Proficiency in designing and comprehending complex system architectures.

Top Skills

AWS
C# .Net
Python
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The Company
HQ: Vienna, VA
1,173 Employees
Year Founded: 1999

What We Do

Cellebrite is the leader in digital intelligence and investigative analytics, partnering with public and private organizations to transform how they manage data in investigations to accelerate justice and ensure data security.

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