Principal Applied Scientist

Siemens Mobility; Santa Clara (CA); On-site; USD 167,000 - 226,000; Full time

Benefits offered by this job

Health benefits

Competitive pay

Incentive plan

Job summary

Siemens Mobility is seeking a Principal Applied Scientist to lead the science for a major capability area. You will guide hypothesis formation, method selection, experiments, and production-ready models while collaborating with engineers and product managers.

This senior IC role requires strong ML expertise, a track record of production-ready research, and excellent communication to translate scientific tradeoffs into actionable decisions.

Qualifications

• 8+ years in applied machine learning or data science with models shipped to production and impact.
• Strong foundation in ML theory and practice across training, evaluation, and deployment.
• Proficiency in Python and modern ML frameworks and toolchains; ability to partner with engineers.

Responsibilities

• Own one or more scientific capability areas end to end, e.g., perception, language and agents, time series, control, or planning.
• Take problems from ambiguous product or system requirements through research questions, hypotheses, and success metrics.
• Lead applied research projects: literature review, method selection, experimentation, ablation, error analysis, and productization.

Skills

Applied ML

Python

ML frameworks

Production ML

Communication

Engineering collaboration

Tools

ML toolchains

Job description

Siemens builds the systems the physical world runs on: factories, power grids, buildings, trains, hospitals. Industrial and physical AI is a major opportunity in applied AI, and one of the harder ones to get right. There is a generation of AI-powered products to build.

We are an applied science organizationbuildingthe science behind them. The work sits at the intersection of machine learning research, real world data, and production systems running in industrial environments.

As Principal Applied Scientist, you lead the science on a major capability area inside the pod. You take ambiguous problems through hypothesis, method selection, experimentation, and into models that run in production. You arehandson with the modeling, and you are accountable for the rigor and the outcome.

This is a senior individual contributor role. You will work in close partnership with engineers and product managers who turn your work into product.

Key responsibilities

• Own one or more scientific capability areas end to end, for exampleperception,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 youown: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
• Identifyand 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
• 8+ years in applied machine learning, AI research, or data science, with models that shipped to production and made an impact
• Strong foundationin 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
• Proficiencyin Python and modern ML frameworks and toolchains
• Strong partnershiptrack recordwith engineering teams on data, training infrastructure, and inference
• Clear written and verbal communication with engineers, product managers, and senior leaders

Preferred qualifications

• Experience applying ML in industrial or physical domains: manufacturing, automation, robotics, energy, mobility, infrastructure, healthcare
• Deepexpertisein one of: multimodal ML, generative AI, retrieval augmented generation, agentic workflows, time series, control, or planning
• Scientific ML for physical systems: surrogate modeling, operator learning, physics-informed ML,geometry-aware ML,differentiable simulation,AI forsemiconductor/EDA
• Hands-on experience building evaluation pipelines, running online experiments, or instrumenting production monitoring for a model you owned
• Publications, patents,open sourcecontributions, or significant internal technology transfers
• Experience mentoring more junior scientists and engineers
• Experience working with globally distributed research, product, or engineering organizations

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. 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.

Our Commitment to Equity and Inclusion in our Diverse Global Workforce:

We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the everyday with us.

You’ll Benefit From
Siemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here: https://www.benefitsquickstart.com/siemens/index.html
The pay range for this position is $ 167,443 - $ 226,073 annually with a target incentive of 15% of the base salary. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location.

Equal Employment Opportunity Statement
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.

EEO is the 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.

Reasonable Accommodations
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 linkAccommodationfor 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.

Application Deadline
This role will be posted for a minimum of five (5) days from the original posting date. The posting timeline may change based on applicant volume to ensure we attract and consider a strong and representative candidate pool.

California Privacy Notice
California residents have the right to receive additional notices about theirpersonal information. To learn more, clickhere .

Equal Employment Opportunity Statement
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.

EEO is the 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.

Reasonable Accommodations
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 linkAccommodationfor 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.

Pay Transparency
Siemens follows Pay Transparency laws.

Application Deadline
This role will be posted for a minimum of five (5) days from the original posting date. The posting timeline may change based on applicant volume to ensure we attract and consider a strong and representative candidate pool.

California Privacy Notice
California residents have the right to receive additional notices about theirpersonal information. To learn more, clickhere .

Criminal History
Qualified applications with arrest or conviction records will be considered foremployment in accordance with applicable local and state laws.