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.
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 organization.
- Participate in security-minded engineering, ensuring that automated workflows follow strict data hygiene and secrets management protocols.
- You are deeply curious about how AI can make large-scale systems more efficient and are comfortable experimenting with new, unproven tools.
- You are excited to uncover innovative solutions and can teach yourself new frameworks (like LangChain or Auto-GPT) when needed.
- You take ownership of your projects, under-promise, and over-deliver.
- You seek feedback frequently and can explain complex AI concepts to both technical and non-technical teammates.
Must-haves:
- Current Student: Pursuing a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- Python Proficiency: Strong working knowledge of Python for automation and data processing.
- AI Fundamentals: Demonstrated interest or project experience in AI/ML, specifically involving Large Language Models (LLMs) and prompt engineering.
- Version Control: Familiarity with Git workflows.
Nice-to-haves:
- RAG Experience: Hands-on experience building small ML pipelines or experimenting with vector databases (e.g., FAISS) and RAG frameworks.
- Cloud Exposure: Foundational experience with AWS or GCP services (e.g., Lambda, S3, or SageMaker).
- Automation Tools: Exposure to CI/CD concepts or infrastructure-as-code (e.g., GitHub Actions, Docker).
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.
This position will be posted for 30 days starting 4/29/26.
#LI-Remote
Please note that the base pay range is a general guideline only. Pindrop considers factors such as (but not limited to) scope and responsibilities of the position, a candidate's work experience, education/training, and key skills, as well as market and business considerations, when extending an offer.
We want a diverse, global team, with a broad range of experience and perspectives. If this job sounds great, but you’re not sure if you qualify, apply anyway! We carefully consider every application and will either move forward with you, find another team that might be a better fit, keep in touch for future opportunities, or thank you for your time.
AI - A Transformative ForceAt 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 applications may be individually reviewed.
Pindrop is an Equal Opportunity EmployerHere at Pindrop, it is our mission to create and maintain a diverse and inclusive work environment. As an equal opportunity employer, all qualified applicants receive consideration for employment without regard to race, color, age, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetic information, disability, marital and/or veteran status.
Similar Jobs
What you need to know about the Los Angeles Tech Scene
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
