Jobs / United States / shifttechnology
Data & AI Engineer Intern (6 months)
shifttechnology · 🇺🇸 Location unlisted
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
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Sponsor Radar — shifttechnology
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About the role
Shift delivers AI agents that transform insurers' most critical work. By combining deep industry expertise and unmatched data resources, Shift provides proven results that have earned the trust of hundreds of the world's leading insurers. Our insurance-grade AI is accurate, explainable, and secure—empowering human experts to move with unmatched speed, total confidence, and a renewed focus on the people they serve. Your browser does not support the video tag. Our culture is built on innovation, trust, and a drive to transform the insurance industry through our SaaS platform. We come from more than 50 different countries and cultures and together we are creating the future of insurance. Learn more at www.shift-technology.com Shift Technology : Shift is the leading AI platform for insurance. Shift combines generative, agentic, and predictive AI to detect fraud, assess risk, and recommend actions throughout the claims process. Our teams tackle complex data challenges and bring advanced models into production at scale, giving insurers deeper insights into their data while helping their customers get paid faster and enjoy a smoother claims experience. Our technology is adopted and trusted by the world’s leading insurers. The Data & AI Engineering Team 🤖: The Data & AI Engineering team designs, builds, and maintains the platform that powers all of Shift’s products and features used by insurers. We bring together Data, Software, and ML/AI Engineers to tackle a broad range of technical challenges. Here are just a few of the areas we work on: • Predictive ML models, RAG systems and advanced agentic AI workflows for scoring and decisions; • Data storage: relational, NoSQL, and vector databases; • Data pipelines: ingestion, cleaning, transformation, and enrichment; • Unstructured data processing: text and documents; • Entity linking, entity resolution, and network detection using graph algorithms Working closely with forward-deployed Data Scientists, we take end-to-end ownership of these components: from designing the architecture and implementing solutions together to overseeing deployments and maintaining and improving systems in production. Your key responsibilities🧑💻: You’ll own a feature of Shift’s Data & AI platform involving large language models (LLMs) and agentic workflows, from initial exploration to production, which will improve our fraud detection or payment integrity models. You’ll be responsible for: • Understanding the business problem with our clients, Product teams, and domain experts • Exploring the state of the art, testing approaches, and identifying what works best for your use case • Designing the solution alongside our Architects and AI Research Lab • Building and integrating your feature within a cross-functional squad • Evaluating and improving performance, measuring accuracy (precision / recall) and latency • Deploying your feature into production in collaboration with our forward-deployed Data Scientists Along the way, you’ll discover how Sales, Product, Engineering, Research, Data Science, Security, and other teams work together to deliver AI products to clients. Your work will go beyond a prototype: you’ll help put an AI feature into production, powering solutions used by insurers around the world. • Your profile and requirements✅: • You are currently enrolled as a Master's degree student in Computer Science, Machine Learning, Artificial Intelligence, or Big Data. • You possess strong technical skills in Python and Object-Oriented Programming (OOP) . Prior exposure to C#, Java or C++ (via coursework, internships, or personal projects) is a strong plus. • You have a deep technical curiosity and a hands-on interest in modern AI paradigms (LLMs, agentic workflows, ML evaluation framewor