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About the Role
Siemens is building the future of AI for the physical world, focusing on industrial and physical AI. As a Principal Applied Scientist, you will lead the science behind a major capability area, taking ambiguous problems from concept through to production-ready models. This is a senior individual contributor role requiring hands-on modeling and accountability for rigorous outcomes, working in close partnership with engineers and product managers.
Responsibilities
- Own one or more scientific capability areas end to end, for example perception, computer vision, language and agents, time series, control, planning, or evaluation
- Take problems from ambiguous product or system requirements through clear research questions, hypotheses, and success metrics
- Lead applied research projects: literature review, method selection, experimentation, ablation, error analysis, and productization
- Build and run the evaluation pipelines for the work you own: offline metrics, online experiments, robustness testing in industrial conditions
- Work with engineers to take models into production grade pipelines: data readiness, training infrastructure, inference, observability
- Make scientific tradeoffs in front of engineers and product managers, with evidence, and translate them into decisions the team can act on
- Identify and de-risk scaling challenges in your area: data quality, model drift, latency, throughput, cost, safety
- Raise the bar on experimentation rigor, reproducibility, and documentation across the team
- Apply responsible AI practices in your work: bias detection, model risk management, human in the loop controls
Requirements
- 8+ years in applied machine learning, AI research, or data science, with models that shipped to production and made an impact
- Strong foundation in machine learning theory and practice across training, evaluation, and deployment
- Demonstrated experience taking research from a paper or prototype into a model that runs reliably in production
- Proficiency in Python and modern ML frameworks and toolchains
- Strong partnership track record with engineering teams on data, training infrastructure, and inference
- Clear written and verbal communication with engineers, product managers, and senior leaders
Skills
- Applied machine learning
- AI research
- Data science
- Python
- Modern ML frameworks and toolchains
- Multimodal ML
- Generative AI
- Retrieval augmented generation
- Agentic workflows
- Time series
- Control
- Planning
- Scientific ML for physical systems
- Surrogate modeling
- Operator learning
- Physics-informed ML
- Geometry-aware ML
- Differentiable simulation
- AI for semiconductor/EDA
- Building evaluation pipelines
- Running online experiments
- Instrumenting production monitoring for a model
Location
- New York - United States of America
Work Type
- Hybrid (Remote/Office)
- Full-time
- Permanent
Experience Level
- Experienced Professional
- Principal
Salary/Compensations
- $200,614 - $271,483 annually with a target incentive of 15% of the base salary
Benefits
- Variety of health and wellness benefits
About the Company
- Siemens builds the systems the physical world runs on: factories, power grids, buildings, trains, hospitals.
- We are an applied science organization building the science behind them.
- The work sits at the intersection of machine learning research, real world data, and production systems running in industrial environments.
- 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.
- Principal Engineers at our company are expected to lead by example, model engineering excellence, and shape both what we build and how we build it.
Equal Opportunity
- Siemens is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
- Applicants and employees are protected from discrimination on the basis of race, color, religion, sex, national origin, or any characteristic protected by Federal or other applicable law.
- If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for disability form. If you’re unable to complete the form, you can reach out to our AskHR team for support at 1-866-743-6367. Please note our AskHR representatives do not have visibility of application or interview status.
- Siemens follows Pay Transparency laws.
- Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.