AI Engineering Intern

🕒 May 12

🇺🇸 United States – Remote

💵 $45 / hour

👨‍🎓 Internship

⚪️ Entry-level

🤖 AI Engineer

🚫👨‍🎓 No degree required

🦅 H1B Visa Sponsor

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👻 Ghost score 36%

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Logo of Pindrop

Pindrop

201 - 500 employees

Founded 2011

🛡️ Insurance

💼 Consulting

🏥 Healthcare

Insurance • Consulting • Healthcare

Pindrop is a leader in voice authentication and fraud detection, offering innovative solutions to enhance the security of voice communications. The company uses advanced technologies such as liveness detection, behavioral analysis, and voice biometrics to combat threats like deepfakes and spoofing in various sectors including banking, finance, insurance, and retail. Pindrop integrates with platforms like Five9 to provide multifactor authentication, ensuring both the protection of sensitive information and a seamless user experience. With a focus on securing call centers and smart devices, Pindrop helps businesses prevent fraud and improve customer interactions by leveraging cutting-edge audio, voice, and AI technologies. Their solutions are trusted by some of the largest financial institutions and insurance companies around the world.

📋 Description

• Explore and build proof-of-concept AI agents to automate complex internal engineering workflows, such as incident analysis or code review summaries • Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for internal technical documentation and runbooks • Collaborate with cross-functional teams to identify operational bottlenecks and implement AI-driven fixes • Test and document emerging AI-assisted coding and monitoring tools for broader engineering use • Participate in security-minded engineering, following strict data hygiene and secrets management protocols • Work closely with senior engineers to turn manual processes into intelligent, automated workflows

🎯 Requirements

• Pursuing a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field • Knowledge of Python for automation and data processing • Demonstrated interest or project experience in AI/ML, specifically involving Large Language Models (LLMs) and prompt engineering • Familiarity with Git workflows • Hands-on experience building small ML pipelines or experimenting with vector databases and RAG frameworks (nice-to-have) • Foundational experience with AWS or GCP services, such as Lambda, S3, or SageMaker (nice-to-have) • Exposure to CI/CD concepts or infrastructure-as-code, such as GitHub Actions or Docker (nice-to-have)

🏖️ Benefits

• Hands-on experience in a modern environment • Work alongside technical experts in security, AI, and voice intelligence • Career-defining opportunity to drive enterprise-level AI impact • Opportunity to work on systems protecting financial institutions and consumers from fraud • Diverse, global team and broad range of experience and perspectives

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