Senior AI Engineer

🕒 August 21

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 25%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Cellebrite

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1999

💼 Consulting

🎖️ Defense

⚖️ Legal

💰 Post-IPO Equity on 2021-08

Consulting • Defense • Legal

Cellebrite is a leading provider of digital forensics and intelligence solutions. The company's end-to-end platform aids investigative teams in both the public and private sectors to solve cases more efficiently and securely. Cellebrite offers a range of products and services, including solutions for digital data collection, analysis, and evidence management from mobile and computer devices. These solutions are widely used in criminal investigations, defense, law enforcement, and intelligence agencies, providing tools to extract, analyze, and manage digital evidence. The company's mission is to help bring justice by protecting the innocent and closing cases faster while ensuring data integrity and security.

📋 Description

• Design and implement features for an AWS-based AI solution, including job orchestration, manifest generation, and API integrations • Develop and maintain CI/CD pipelines using GitHub Actions, CDK, and AWS infrastructure such as SageMaker, Lambda, and Bedrock • Research and develop machine learning algorithms to turn forensic data into investigation leads, evidence, and intelligence insights • Build data-driven applications and prototype new algorithms • Investigate data and evaluate algorithm performance • Take projects end to end from idea inception through data and algorithm research and proof-of-concept development • Ensure code quality and reliability through unit testing, performance testing, and observability enhancements • Collaborate with cross-functional teams to integrate AI services into broader investigation workflows and runtime environments • Troubleshoot deployment issues and improve dashboards and monitoring tools

🎯 Requirements

• Proficiency in Python and Typescript, with experience in API development and cloud-native architectures • Hands-on experience with AWS services including SageMaker, Lambda, etc. • Experience with machine learning libraries such as PyTorch, Pandas, NumPy, and related data processing tools • Ability to write clean, maintainable code and contribute to shared documentation and best practices • Familiarity with GitHub workflows, secrets management, and secure deployment practices • Familiarity with Amazon EKS and Kubernetes-based deployments • Experience with GenAI infrastructure, semantic caching, and LLM integration • Knowledge of observability tools like Datadog and log aggregation strategies • Must be a U.S. Citizen

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