Machine Learning Engineer - Brunswick
Mettawa, IL
About the Job
_Are you ready for what’s next?_
_Come explore opportunities within Brunswick, a global marine leader (https://youtube.com/watch?v=ksuQ6B2j_mA) committed to challenging conventions and innovating next-generation technologies that transform experiences on the water and beyond. Brunswick believes “Next Never Rests™,” and we offer a variety of exciting careers and growth opportunities within united teams defining the future of marine recreation._
With over 13,000 employees and operations in over 20 countries, Brunswick is the world leader in recreational marine vessels and propulsion. Recently named to Forbes list of Best Employers for Diversity, we take equality and work/life balance seriously. With our 16 boat brands, various P&A brands, and world leading propulsion brands, we aim to make the boating experience frictionless for our valued customers.
Autonomous technology solutions are critical enablers for recreational marine, alleviating barriers for entry and reducing anxiety in traditionally stressful operational scenarios. The benefit of autonomous technology is enabling users to confidently operate vessels and focus on pleasurable aspects of boating.
The successful Candidate shall
+ Design, build, and maintain scalable and reliable data pipelines
+ Monitor and troubleshoot data pipelines, and resolve data ingestion, transformation, and loading issues
+ Monitor the deployment of machine learning systems and models
+ Develop machine learning modelsby selecting and applying appropriate machine learning algorithms and tools
+ Productionize machine learning model prototypes and integrate them into user-facing software
+ Developsoftware that enables advanced HMI, rich user interface, ADAS and autonomous user features and consider flexibility for global architecture requirements and internal/external interfaces of the future as well as rapid learning cycles
Key responsibilities
+ Develop and maintaindata pipelines to feed machine learning models
+ Integrate machine learning models into software applications
+ Productionize machine learning prototypes and apply appropriate machine learning algorithms and tools
+ Classifiers, CNN, Transformers, time series, spectral analysis, GRU, attention spectral models
+ Train, evaluate, and monitor machine learning systems and models
+ Data engineering, Data pipeline and MLops management
+ Strong software background with complex software programming and development
+ Agile software development best practices and tools - Jira, GitHub, Confluence, automated testing
R equired Experience/Skills
+ Bachelor’s degree incomputer science or related quantitative field
+ Knowledge of developing data pipelines
+ In-depth knowledge of widely used machine learning frameworks such as TensorFlow, PyTorch, scikit-learn
+ Strong grasp of machine learning algorithms, data structures, data modeling, software design
+ Experience with requirement and issue tracking tools
+ Strong Critical Thinking and communications skills, verbally and written.
Preferred Experience/Skills
+ Knowledge of computer vision algorithms, libraries, and tools such as OpenCV
+ Experience in the deployment of machine learning models and monitoring in-production models
+ Experience with developing data pipelines on cloud computing platforms such as Amazon Web Services (AWS)
+ M.S. in computer science, data science, or related quantitative field
+ Experience with sensors such as sonar, radar, lidar, and cameras
+ Experience in the marine environment
_Next is Now!_
_We value growth and development, recognizing that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please still consider applying._
Brunswick is an Equal Opportunity Employer and considers all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other characteristic protected by federal, state, or local law. Diversity of experience and skills combined with passion is key to innovation and inspiration and we encourage individuals from all backgrounds to apply. If you require accommodation during the application or interview process, please contact hrsharedservices@brunswick.com for support.
For more information about EEO laws, - click here (https://www.eeoc.gov/employees-job-applicants)
Brunswick and Workday (https://www.workday.com/en-us/service-privacy.html?&_rda=/company/service_privacy.php) Privacy Policies
Brunswick does not accept applications, inquiries or solicitations from unapproved staffing agencies or vendors. For help, please contact our support team at: hrsharedservices@brunswick.com or 866-278-6942.
All job offers will come to you via the candidate portal you create when applying through a posted position through https:///www.brunswick.com/careers . If you are ever unsure about what is being required of you during the application process or its source, please contact HR Shared Services at 866-278-6942 or HRSharedServices@brunswick.com .
#Brunswick Corporation
_Come explore opportunities within Brunswick, a global marine leader (https://youtube.com/watch?v=ksuQ6B2j_mA) committed to challenging conventions and innovating next-generation technologies that transform experiences on the water and beyond. Brunswick believes “Next Never Rests™,” and we offer a variety of exciting careers and growth opportunities within united teams defining the future of marine recreation._
With over 13,000 employees and operations in over 20 countries, Brunswick is the world leader in recreational marine vessels and propulsion. Recently named to Forbes list of Best Employers for Diversity, we take equality and work/life balance seriously. With our 16 boat brands, various P&A brands, and world leading propulsion brands, we aim to make the boating experience frictionless for our valued customers.
Autonomous technology solutions are critical enablers for recreational marine, alleviating barriers for entry and reducing anxiety in traditionally stressful operational scenarios. The benefit of autonomous technology is enabling users to confidently operate vessels and focus on pleasurable aspects of boating.
The successful Candidate shall
+ Design, build, and maintain scalable and reliable data pipelines
+ Monitor and troubleshoot data pipelines, and resolve data ingestion, transformation, and loading issues
+ Monitor the deployment of machine learning systems and models
+ Develop machine learning modelsby selecting and applying appropriate machine learning algorithms and tools
+ Productionize machine learning model prototypes and integrate them into user-facing software
+ Developsoftware that enables advanced HMI, rich user interface, ADAS and autonomous user features and consider flexibility for global architecture requirements and internal/external interfaces of the future as well as rapid learning cycles
Key responsibilities
+ Develop and maintaindata pipelines to feed machine learning models
+ Integrate machine learning models into software applications
+ Productionize machine learning prototypes and apply appropriate machine learning algorithms and tools
+ Classifiers, CNN, Transformers, time series, spectral analysis, GRU, attention spectral models
+ Train, evaluate, and monitor machine learning systems and models
+ Data engineering, Data pipeline and MLops management
+ Strong software background with complex software programming and development
+ Agile software development best practices and tools - Jira, GitHub, Confluence, automated testing
R equired Experience/Skills
+ Bachelor’s degree incomputer science or related quantitative field
+ Knowledge of developing data pipelines
+ In-depth knowledge of widely used machine learning frameworks such as TensorFlow, PyTorch, scikit-learn
+ Strong grasp of machine learning algorithms, data structures, data modeling, software design
+ Experience with requirement and issue tracking tools
+ Strong Critical Thinking and communications skills, verbally and written.
Preferred Experience/Skills
+ Knowledge of computer vision algorithms, libraries, and tools such as OpenCV
+ Experience in the deployment of machine learning models and monitoring in-production models
+ Experience with developing data pipelines on cloud computing platforms such as Amazon Web Services (AWS)
+ M.S. in computer science, data science, or related quantitative field
+ Experience with sensors such as sonar, radar, lidar, and cameras
+ Experience in the marine environment
_Next is Now!_
_We value growth and development, recognizing that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please still consider applying._
Brunswick is an Equal Opportunity Employer and considers all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other characteristic protected by federal, state, or local law. Diversity of experience and skills combined with passion is key to innovation and inspiration and we encourage individuals from all backgrounds to apply. If you require accommodation during the application or interview process, please contact hrsharedservices@brunswick.com for support.
For more information about EEO laws, - click here (https://www.eeoc.gov/employees-job-applicants)
Brunswick and Workday (https://www.workday.com/en-us/service-privacy.html?&_rda=/company/service_privacy.php) Privacy Policies
Brunswick does not accept applications, inquiries or solicitations from unapproved staffing agencies or vendors. For help, please contact our support team at: hrsharedservices@brunswick.com or 866-278-6942.
All job offers will come to you via the candidate portal you create when applying through a posted position through https:///www.brunswick.com/careers . If you are ever unsure about what is being required of you during the application process or its source, please contact HR Shared Services at 866-278-6942 or HRSharedServices@brunswick.com .
#Brunswick Corporation
Source : Brunswick
