Jobs / United States / Adobe INC
Senior Machine Learning Engineer
Adobe INC · 🇺🇸 San Jose
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 1,036 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 221 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 Adobe INC paid sponsored hires in similar roles170 certified filings for “Machine Learning Engineer” (Data Scientists) in CA: $164k–$215k, median $184k. Most were filed at wage level II (45%) — 2 lottery entries, ≈31% 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 — Adobe INC
The US Department of Labor certified 1,036 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 221 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 Adobe INC →
About the role
As a Senior Machine Learning Engineer with Adobe's Experience Intelligence team, you will compose, build, and deploy production-grade AI systems. These systems power intelligent experiences across commercial and promotional activities. You will work on GenAI agents, predictive ML, retrieval and reasoning systems, and the platforms that support them at scale. Partnering with engineers, product managers, and business collaborators, you will turn emerging AI capabilities into reliable, scalable solutions that solve real-world business problems. Key Responsibilities: • Design, build, and deploy production-grade AI systems, including GenAI agents, predictive ML, retrieval and reasoning systems, agent frameworks, tool calling, multi-agent workflows, APIs, and data pipelines, with a strong focus on quality, scalability, reliability, and performance. • Develop AI/ML solutions over large-scale structured and unstructured enterprise data, including evaluation frameworks and techniques to continuously improve accuracy and user experience. • Own solutions end-to-end, from architecture and experimentation through implementation, testing, deployment, monitoring, and continuous improvement. • Partner closely with product managers and collaborators to identify high-value problems and integrate AI capabilities into real-world sales and marketing workflows. • Identify and prototype emerging AI opportunities, turning new technologies and ideas into differentiated, production-ready capabilities. What You Need to Succeed: • MS or PhD in Computer Science, Machine Learning, or a related field, or equivalent practical experience. • 5+ years of experience building and deploying machine learning, GenAI, NLP, retrieval, or related AI systems. • Strong understanding of modern LLM and agentic AI technologies, including RAG, tool/function calling, reasoning, evaluation, and context management. • Strong foundation in machine learning, predictive modeling, statistics, and techniques for working with large-scale structured and unstructured data. • Strong software engineering skills, including Python, data structures and algorithms, system design, testing, code quality, and production debugging. • Experience building production AI/ML services using technologies such as PyTorch, REST APIs, Docker, data/orchestration pipelines, and cloud platforms such as Azure or AWS. • Experience designing scalable and reliable AI systems and evaluating them across quality, latency, cost, and operational performance. • Excellent problem-solving and communication skills, with the ability to work effectively across technical and business teams in a fast-paced environment. About Adobe Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. Let’s Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , th