Siemens · 11 hours ago
Senior Principal Applied Scientist
United States
Full-time
Remote
Senior Level, Lead/Staff
$197K/yr - $267K/yr
10+ years expSiemens is dedicated to enabling sustainable progress through technology and empowering customers by integrating the real and digital worlds. The Senior Principal Applied Scientist will set the scientific direction for intelligent systems, collaborating with various teams to define scientific roadmaps and translate research into production-grade capabilities.
Artificial Intelligence (AI)ConsultingCyber SecurityInternet of Things
Responsibilities
Owning the scientific roadmap across core AI capabilities (multimodal perception, language/agentic reasoning, time-series modeling), with clear hypotheses, milestones, and success metrics
Designing robust evaluation & benchmarking for generative and predictive models (offline metrics, online A/B, safety & robustness tests), and institutionalizing scientific rigor across teams
Bridging research to production, partnering with engineering to harden models and pipelines (data readiness, optimization, inference runtime, observability) for industrial-grade reliability
Leading applied research projects end-to-end—from literature review and method selection to ablations, scaling, and productization—while making pragmatic tradeoffs under uncertainty
Mentoring scientists and engineers, running technical reviews, and raising the bar on reproducibility, documentation, and experiment hygiene
Championing Responsible AI, including bias detection, model risk management, guardrails, and human‑in‑the‑loop controls for safety-critical use cases
Proactively de‑risking scaling bottlenecks (data quality, latency/throughput, cost, drift) and influencing long-term architecture decisions with evidence
Qualification
Required
10+ years in AI/ML research or applied science, with hands-on experience training, evaluating, and shipping models to production with demonstrated leadership experience
Demonstrated impact designing/scaling ML systems (distributed training, model serving, online evaluation) and real-time applications
Proven ability to lead scientific strategy and cross‑team architecture efforts; strong systems thinking
Proficiency in Python and modern ML stacks; deep understanding of optimization, generalization, performance, and fault‑tolerance in ML systems
Clear communication and the ability to influence across engineering, product, and leadership
Preferred
3+ years leading applied research teams
Experience connecting ML research to products in the physical world (manufacturing, automation, robotics, IIoT, edge)
Track record in multimodal ML (text, vision, 3D/CAD, time series), retrieval‑augmented generation, or agentic workflows
Publications, patents, open‑source contributions, or significant internal tech transfers; ability to mentor senior/staff scientists
Familiarity with Responsible AI frameworks (fairness/robustness testing, guardrails, model risk)
Comfort collaborating within a global, cross‑functional organization
Company
Siemens
Siemens empowers customers to transform the industries that form the backbone of economies: industry, transportation, buildings and grids.
10001+ employees
H1B Sponsorship
Siemens has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (20)
2024 (26)
2023 (24)
2022 (26)
2021 (37)
2020 (36)
Funding
Current Stage
Public CompanyTotal Funding
$7.01BKey Investors
US Department of Energy
2025-02-20Post Ipo Equity· $1.5B
2024-09-17Grant· $1.5M
2024-09-04Post Ipo Debt· $332.4M
Leadership Team
Cedrik Neike
CEO Digital Industries
Nicola Bates
President and CEO of Siemens Capital
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