Machine Learning Engineer

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 solutionsarecritical 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

Required 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