Principal Scientist Job ID 504561 Posted since 28-Apr-2026 Organization Data & Artificial Intelligence Field of work Research & Development Company Siemens Corporation Experience level Experienced Professional Job type Full-time Work mode Remote only Employment type Permanent Any Siemens location in Washington - United States of America
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. Thats 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 a Principal Scientist you will set the scientific direction and advance state‑of‑the‑art methods that power intelligent interactive systems operating in real industrial environments.This is a high-impact role for a research leader who thrives at the intersection of fundamental ML data and systems. Youll 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.This position is remote with a preference for location in Seattle WA.
Youll make an impact by Owning the scientific roadmap across core AI capabilities multimodal perception languageagentic reasoning time-series modeling with clear hypotheses milestones and success metrics. Designing robust evaluation & benchmarking for generative and predictive models offline metrics online AB 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 latencythroughput cost drift and influencing long-term architecture decisions with evidence.
Youll win us over by having the following qualifications Basic Qualifications 10 years in AIML research or applied science with hands-on experience training evaluating and shipping models to production. Demonstrated impact designingscaling 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 Experience connecting ML research to products in the physical world manufacturing automation robotics IIoT edge. Track record in multimodal ML text vision 3DCAD time series retrieval‑augmented generation or agentic workflows. Publications patents open‑source contributions or significant internal tech transfers ability to mentor seniorstaff scientists. Familiarity with Responsible AI frameworks fairnessrobustness testing guardrails model risk. 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. 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.
Youll Benefit From Siemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here httpswww.benefitsquickstart.comsiemensindex.html
The pay range for this position is 197268 - 267036 annually with a target incentive of 20 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 LawApplicants 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 link Accommodation for disability form. If youre 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.
California Privacy Notice California residents have the right to receive additional notices about their personal information. To learn more click here.
Criminal History Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.
Job ID 504561 Posted since 28-Apr-2026 Organization Data & Artificial Intelligence Field of work Research & Development Company Siemens Corporation Experience level Experienced Professional Job type Full-time Work mode Remote only Employment type Permanent Any Siemens location in Washington - United States of America
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. Thats 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 a Principal Scientist you will set the scientific direction and advance state‑of‑the‑art methods that power intelligent interactive systems operating in real industrial environments.This is a high-impact role for a research leader who thrives at the intersection of fundamental ML data and systems. Youll 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.This position is remote with a preference for location in Seattle WA.
Youll make an impact by Owning the scientific roadmap across core AI capabilities multimodal perception languageagentic reasoning time-series modeling with clear hypotheses milestones and success metrics. Designing robust evaluation & benchmarking for generative and predictive models offline metrics online AB 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 latencythroughput cost drift and influencing long-term architecture decisions with evidence.
Youll win us over by having the following qualifications Basic Qualifications 10 years in AIML research or applied science with hands-on experience training evaluating and shipping models to production. Demonstrated impact designingscaling 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 Experience connecting ML research to products in the physical world manufacturing automation robotics IIoT edge. Track record in multimodal ML text vision 3DCAD time series retrieval‑augmented generation or agentic workflows. Publications patents open‑source contributions or significant internal tech transfers ability to mentor seniorstaff scientists. Familiarity with Responsible AI frameworks fairnessrobustness testing guardrails model risk. 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. 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.
Youll Benefit From Siemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here httpswww.benefitsquickstart.comsiemensindex.html
The pay range for this position is 197268 - 267036 annually with a target incentive of 20 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 LawApplicants 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 link Accommodation for disability form. If youre 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.
California Privacy Notice California residents have the right to receive additional notices about their personal information. To learn more click here.
Criminal History Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.