AI Engineer

Description

Company Overview:

Cellebrite's (Nasdaq: CLBT) mission is to enable its customers to protect and save lives, accelerate justice, and preserve privacy in communities around the world. Cellebrite is a global leader in Digital Intelligence solutions for the public and private sectors, empowering organizations to master the complexities of legally sanctioned digital investigations by streamlining intelligence processes. Trusted by thousands of leading agencies and companies globally, Cellebrite’s Digital Intelligence platform and solutions transform how customers collect, review, analyze, and manage investigative digital data in legally sanctioned investigations.

Position Overview:

The Forensic Research Group (FRG) is looking for an AI Engineer to work in the heart and mind of forensic research analysis at Cellebrite. The group focuses on locating, analyzing, and parsing forensic artifacts from file systems, application data, and other binary inputs.

As an AI Engineer in FRG, you will develop and implement AI solutions to parse and analyze data from various sources, including forensic extractions of mobile devices. You will be responsible for designing, building, testing, and maintaining efficient, reusable, and reliable C# .NET code with integration to cloud services in AWS. Additionally, you will use heuristic-based methods and GenAI technologies to enhance data identification and classification.

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.

Requirements

Proven experience in AI engineering, with a focus on data parsing and analysis.
Over 5 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.