Přeskočit na obsah Přeskočit na zápatí

Applied Scientist - Data & AI

ID pozice
502622
Zveřejněno od
23-Dub-2026
Organizace
Data & Artificial Intelligence
Obor
Research & Development
Společnost
Siemens Ltd., China
Úroveň zkušeností
Nerozhoduje
Typ pozice
Plný úvazek
Režim práce
Pouze na pracovišti
Druh smlouvy
Fixní
Lokalita
  • Hangzhou - Zhejiang Sheng - Čína
  • Peking - Beijing Shi - Čína
  • Šanghaj - Shanghai Shi - Čína
  • Shenzhen - Guangdong Sheng - Čína
  • Su-čou - Jiangsu Sheng - Čína
Here at Siemens, we take pride in enabling sustainable progress through technology. We do this through empowering customers by combining the real and digital worlds. Improving how we live, work, and move today and for the next generation! We know that the only way a business thrives is if our people are thriving. That’s why we always put our people first. Our global, diverse team would be happy to support you and challenge you to grow in new ways. Who knows where our shared journey will take you?   
As an Applied Scientist, you will advance state‑of‑the‑art methods that power intelligent, interactive systems operating in real industrial environments. 
This is a high-impact role who thrives at the intersection of fundamental ML, data, and systems. You’ll partner closely with software engineers, product managers, and executives to define the scientific roadmap, architect evaluation frameworks, and translate cutting‑edge research into production-grade capabilities that scale. Your work will directly shape multiple teams and the product trajectory. 

You’ll make an impact by: 
  • 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. 
  • 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. 

You’ll win us over by having the following qualifications: 
Basic Qualifications 
  • AI/ML research or applied science, with hands-on experience training, evaluating, and shipping models to production. 
  • 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 Qualifications 
  1. Experience connecting ML research to products in the physical world (manufacturing, automation, robotics, IIoT, edge). 
  2. Track record in multimodal ML (text, vision, 3D/CAD, time series), retrieval‑augmented generation, or agentic workflows. 
  3. Publications, patents, open‑source contributions, or significant internal tech transfers; ability to mentor senior/staff scientists. 
  4. Familiarity with Responsible AI frameworks (fairness/robustness testing, guardrails, model risk). 
  5. Comfort collaborating within a global, cross‑functional organization. 

About the Team:  
We are an early-stage engineering team solving hard technical problems at the intersection of AI, systems, and real-world interaction. We operate with high autonomy, collaborate closely across functions, and maintain high technical standards. 

You'll Benefit From 
  • Diverse and inclusive culture, doing the work you like with people who appreciate it
  • Systematic career development platform, various training courses, and online learning resources for you to help you tailor your growth path based on your strengths 
  • 15 days+ annual leaves, with additional benefits such as Christmas leave 
  • Generous benefits package, long-term care corporate annuity plan, flexible allocation of commercial insurance, employee stock sharing matching plan for mutual growth, etc. 
  • Find more here

Transform the everyday with us!
At Siemens, we are human enthusiasts with a diverse set of backgrounds, skills, interests, and needs, united in a unique mission to create a better society. We believe in a culture of diversity and inclusion, reflecting a society with various backgrounds, nationalities, expertise, and mindsets. Here, you'll find trust and freedom to excel. Here, you'll find peers, mentors, and savvy people, for co-creating and growing. If you have curiosity, breakthroughs, and creativity, looking for an equal opportunity to grow and unleash your full potential, join us, bring your authentic self, and transform the everyday with us.