Jobs / United States / Abbott Laboratories
Staff AI/ML Platform 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 Staff AI/ML Platform Engineer position can work out of Alameda, CA location. As Staff AI/ML Platform Engineer, you will design and build the platform that takes machine learning models from experiment to production, safely and repeatably, across cloud and device. You will connect our existing data lake and ETL pipelines to ML infrastructure and enable both the AI engineering and data science teams to ship with confidence. You will work closely with data engineering, DevOps and SRE, data science, security, quality, and regulatory teams, so a high level of technical judgement and professionalism is required. What You'll Work On • Define the architecture and roadmap for the AI platform, feature store, training pipelines, model registry, deployment, and serving. • Partner with the data engineering team to define the boundary between curated data and ML features and ensure lineage from raw sensor data to model output. • Enable data scientists to self-serve training and deployment through templates, tooling, and documentation. • Extend the existing CI/CD pipelines with model-specific stages, including automated testing, validation gates, and approval workflows aligned with design controls. • Implement model monitoring for performance, data drift, and sensor data quality on the shared observability stack, with alerting and rollback. • Build the pipeline for packaging and delivering models to mobile and wearable devices, in partnership with the on-device AI/ML engineer. • Support deployment and monitoring of LLM and agentic services, including prompt and model versioning and evaluation runs. • Own training and inference cost and ML tooling decisions; partner with DevOps and SRE on infrastructure capacity, scalability, and reliability. • Ensure the ML platform meets security, privacy, and compliance requirements (HIPAA, GDPR) and produces audit-ready records. • undefined Qualifications: • Bachelor’s degree in Engineering, Mathematics, Computer Science, or a related field. • Minimum 8 years of