Jobs / United States / Abbott Laboratories
Principal AI/ML Engineer
Abbott Laboratories · 🇺🇸 United States - California - Alameda
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 73 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 28 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- 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.
- What Abbott Laboratories paid sponsored hires in similar roles2 certified filings for “Senior Software Engineer” (Software Developers) in CA: $120k–$149k, median $135k. Most were filed at wage level I (50%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- 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).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Abbott Laboratories
The US Department of Labor certified 73 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 28 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Abbott Laboratories →
About the role
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: At Lingo, we’re building a groundbreaking health platform that combines continuous biosensor data, real-time analytics, and personalized insights to help people live fuller, longer, and healthier lives. Our systems ingest millions of sensor readings daily, powering experiences for consumers and partners worldwide, with the reliability and scalability of cloud-native, enterprise-grade platforms. Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You’ll also have access to: • Career development with an international company where you can grow the career you dream of. • Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year. • An excellent retirement savings plan with a high employer contribution. • Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree. • A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune. • A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists. THE OPPORTUNITY This Principal AI/ML Engineer position can work out of Alameda, CA location. As Principal AI/ML Engineer, you will define and build the AI layer that turns glucose data and model outputs into personalized, conversational insights for users. You will set the architecture, evaluation standards, and guardrail policy for all agentic and LLM-based features, and act as the technical lead for the AI engineering team. This is a hands-on, principal-level individual contributor role and a founding position on the team, with direct influence on its architecture, standards, and future hires. You will work closely with data science, clinical, regulatory, product, and mobile engineering, so a high level of technical judgement and professionalism is required. What You'll Work On • Define the technical vision and architecture for agentic and LLM-based features across cloud and device. • Design and build agents that combine glucose history, model predictions, meals, activity, and user context to deliver actionable insights. • Own agent orchestration, tool use, memory, and retrieval patterns, choosing between hosted and self-managed models based on safety, cost, and latency. • Stay current on advances in LLMs and agentic systems and translate them into a practical roadmap. • Establish guardrails so agent responses stay within approved product and regulatory claims, including no unapproved dosing or treatment advice. • Build evaluation frameworks with clinically grounded test sets, co-owned with data science and clinical teams, covering accuracy, safety, and user impact. • Ensure every agent response is traceable and auditable in line with design controls and regulatory requirements. • Partner with regulatory and quality teams on risk analysis, documentation, and evidence for AI-enabled features. • Use sound judgement and discretion when handling confidential and personal health data. • Provide technical leadership and mentorship across the AI engineering team and lead architecture and design reviews. • Produc