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Siemens Digital Industries Software

Senior AI Applied Scientist - Cloud & Industrial AI

Bellevue, WA

Are you passionate about revolutionizing industries through theapplication of cutting-edge AI? Siemens Digital Industries, a driving force inindustrial automation, is on a mission to transform the landscape ofManufacturing Engineering and Automation. Join us in shaping the futurecollaboratively with customers and partners, delivering rapid value, andsolving core challenges. We are committed to sustainability, systemoptimization, and embracing change to redefine the industry and ourselves.

Why Siemens Digital Industries?

At Siemens, we're not just crafting products; we're forging a portfoliofor tomorrow. We're nimble, adaptive, and purpose-driven, rapidly iteratingover innovative ideas. Our approach involves close collaboration withcustomers, incorporating their feedback to build a bridge into a sustainableworld. Join us in this fast-paced, agile environment, and become a part of alegacy that matters for generations to come.

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In your role as "Senior AI Applied Scientist - Cloud & Industrial AI" youwill:

• Conduct cutting-edge investigations in ArtificialIntelligence applied to high-value industrial scenarios.

• Design and implement AI/ML pipelines, models andcomponents that will be at the core technology stack of Siemens next-generationAI powered services.

• Work closely together with peers and partners,including software engineers, product managers, domain experts and customers tomake sure the AI innovations are brought into production with agility andfollowing all Siemens Industrial Grade requirements.

• Act as expert in Generative AI and Machine Learning.

What You Need To Make Real What Matters.

• You have a bachelor's and a PhD degree in computerscience, computer engineering, or a related field, with focus in MachineLearning and/or Artificial Intelligence.

• You have a track record of 5+ years of experienceworking in the industry, applying AI/ML techniques, including development ofmodels and pipelines, as part of the development life-cycle of products /services / solutions.

• You are proficient in Python, PyTorch (or TensorFlow),have familiarity with model training recipes and pipelines .

• You are familiar with Generative AI technologies,including OpenAI, Azure OpenAI and open-source Large Language Models.

• You are familiar with Azure Machine Learning (or AWSSageMaker) and other cloud based solutions that can be used as part of an AIecosystem

• You have experience with MLOps / LLMOps pipelines andwith high quality engineering practices across all stages of AI/ML development.

• You are a team player.

Siemens Software. Transform the Everyday

The salary range for this position is$147,700 to $236,300 and this role is eligible to earn incentive compensation.The actual compensation offered is based on the successful candidate's worklocation as well as additional factors, including job-related skills,experience, and relevant education/training. Siemens offers avariety of health and wellness benefits to employees. Details regarding ourbenefits can be found here: www.benefitsquickstart.com. In addition, thisposition is eligible for time off in accordance with Company policies,including paid sick leave, paid parental leave, PTO (for non-exempt employees)or non-accrued flexible vacation (for exempt employees).

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Equal Employment Opportunity Statement
Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity 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.

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 Accomodation for disablity 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.

EEO is the Law
Applicants and employees are protected under Federal law from discrimination. To learn more, Click here.

Pay Transparency Non-Discrimination Provision
Siemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more, Click here.

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Client-provided location(s): Bellevue, WA, USA
Job ID: Siemens_Digital-400984-en-1
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • FSA With Employer Contribution
    • HSA
    • HSA With Employer Contribution
    • Fitness Subsidies
    • On-Site Gym
    • Pet Insurance
    • Mental Health Benefits
    • Virtual Fitness Classes
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Family Support Resources
    • On-site/Nearby Childcare
    • Adoption Leave
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
    • Work-From-Home Stipend
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • Snacks
    • Some Meals Provided
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Unlimited Paid Time Off
    • Paid Holidays
    • Personal/Sick Days
    • Sabbatical
    • Leave of Absence
    • Volunteer Time Off
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Pension
    • Company Equity
    • Stock Purchase Program
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
    • Profit Sharing
  • Professional Development

    • Tuition Reimbursement
    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program
    • Work Visa Sponsorship
    • Leadership Training Program
    • Associate or Rotational Training Program