Siemens Careers

Machine Learning Engineer

Milford, Ohio
Research & Development

English (US)

Job Description

Division: Digital Factory
Business Unit: Product Lifecycle Management-PLM
Requisition Number: 235217
Primary Location: United States-Ohio-Milford
Assignment Category: Full-time regular
Experience Level: Entry level
Education Required Level: Bachelor's Degree
Travel Required: 5%

Division Description:

Siemens is a global technology powerhouse that has stood for engineering excellence, innovation, quality, reliability and internationality for more than 165 years. As a global technology company, Siemens is rigorously leveraging the advantages that this setup provides. To tap business opportunities in both new and established markets, the Company is organized in nine Divisions: Power and Gas, Wind Power and Renewables, Energy Management, Building Technologies, Mobility, Digital Factory, Process Industries and Drives, Healthineers and Financial Services.

The Siemens Digital Factory Division offers a comprehensive portfolio of seamlessly integrated hardware, software and technology-based services in order to support manufacturing companies worldwide in enhancing the flexibility and efficiency of their manufacturing processes and reducing the time to market of their products.

For more information, please visit:

Job Description:

Job Description:
This position is for a Machine LearningEngineer working on NX, a large commercial CAD application.  The employee will perform software design and programming for the NX CAD product with focus on Machine Learning and Big Data functionality. 
The position requires performing all of the SDLC steps of software design for one area of a product.  The
employee will create, document and execute software designs for focused product areas.  Some customer interaction may be required.
• Contributes individually or in a team as needed to meet the requirements of various projects.
• • Able to write clean, robust and maintainable code to minimize the cost of defects over time.
• Works with customers to understand and improve existing code for their area.
• Follows the various steps in the SDLC process including writing design documents and coding.
Prerequisites and Essential Functions
• Bachelors or Master’s degree in Computer Science, Engineering, or other numerate discipline from a reputed institute.
• Product development experience will be a plus, as will familiarity with the software development life cycle.
• Must have some experience in at least one of the following languages: C++, Python, R, C#, or Java.
•Experience developing analytical solutions using statistical methods and machine learning algorithms.
• Hands-on machine learning experience with toolkits like PyTorch or TensorFlow.
• Experience with big data concepts, tools, and architecture (data wrangling/cleaning, querying data from relational databases, dimensionality reduction).
• Data visualization skills and ability to present technical solutions to non-technical audience.
• Knowledge of advanced data structures, object oriented analysis and design.
• Ability to work well in a team.
• Proactive
• Capable of independent work as well as collaborative development.
• Ability to continually improve and learn new areas.

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, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, protected veteran or military status, and other categories protected by federal, state or local law.

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.

Can't find what you are looking for?

Let's stay connected

Can't find what you are looking for?