AI Engineering Intern
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
About Pindrop
Identity trust platform for enterprise voice/video authentication and deepfake detection. Processes 1.5B+ real-world interactions annually for banks, insurers, healthcare providers.
Private Late · 200–500 people
Job description
The full responsibilities and requirements are on the employer’s site.
Read the job description ↗Source and classification
Internal deployment & tooling · Evidence for this classification:
IVP, and CapitalG. What you’ll do As an AI Engineering Intern, you will be at the forefront of applying generative AI to enhance Pindrop’s internal operations and engineering productivity. You will work closely with senior engineers to turn manual processes into intelligent, automated workflows. 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 to enable "chat with your data" capabilities for internal technical documentation and runbooks. Collaborate with cross-functional teams to identify operational bottlenecks and implement AI-driven fixes that improve efficiency and performance. Test and document the use of emerging AI-assisted coding and monitoring tools to determine their viability for the broader engineering
More from the job description
Who We Are Pindrop is the Real Human + Right Human® Identity Trust Platform for the AI era. As AI-driven fraud and deepfakes erode trust in digital communication, Pindrop delivers continuous identity verification and deepfake detection across voice, video, and digital interactions in real time. Enterprises rely on Pindrop to secure billions of high-risk customer interactions each year, including top U.S. banks, as well as leading insurers and healthcare providers. Powered by models trained on more than 1.5 billion real-world interactions annually and protected by 300+ patents, Pindrop restores trust while reducing fraud, lowering operational costs, and improving customer experience. Recognized by TIME as one of the Top 10 Most Influential Software Companies of 2026 and by Inc. for Best in Business for Innovation, Pindrop is backed by leading investors including Andreessen Horowitz, IVP, and CapitalG. What you’ll do As an AI Engineering Intern, you will be at the forefront of applying generative AI to enhance Pindrop’s internal operations and engineering productivity. You will work closely with senior engineers to turn manual processes into intelligent, automated workflows. 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 [... source excerpt omitted ...] sure to CI/CD concepts or infrastructure-as-code (e.g., GitHub Actions, Docker). What’s in it for you In an era where synthetic media and identity manipulation are accelerating, you will work on the systems that ensure every interaction involves the real human and the right human. You will wake up every day knowing your work has real-world impact by protecting financial institutions and consumers from fraud. You will gain hands-on experience in a modern environment, working alongside some of the best technical minds in security, AI, and voice intelligence. This is a career-defining opportunity for someone ready to drive meaningful, enterprise-level AI impact. #LI-Remote Plea [... source excerpt omitted ...] time. AI - A Transformative Force At Pindrop, we view artificial intelligence as a transformative force that, when harnessed responsibly, can unlock unprecedented value for our customers, partners and society and enable and empower us to continue to deliver cutting-edge technology to combat fraud and unblur the lines between what it means to be human versus machine. Pindrop may use AI tools to help prioritize job applications for human review. The AI tool may analyze your work experience and skills to assess fit for the role, but does not consider your name or contact details. Applications with the strongest match to job requirements are prioritized for human review; not all
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