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Geometric Deep Learning Jobs in Wisconsin (NOW HIRING)

Sr Design Engineer

Brookfield, WI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

... learning are celebrated. Every day, you'll be empowered to own your work, drive breakthrough ... Execute tolerance stack analyses (statistical and geometric preferred). * Design and analyze gear ...

Showing results 41-41

Geometric Deep Learning information

What is the difference between Geometric Deep Learning vs Data Scientist?

AspectGeometric Deep LearningData Scientist
Required CredentialsAdvanced degrees in computer science, machine learning, or related fieldsBachelor's or master's in data science, statistics, or related fields
Work EnvironmentResearch labs, AI development teams, academiaBusiness analytics, product teams, consulting firms
Industry UsageAI, robotics, computer vision, graph analysisBusiness intelligence, marketing, finance, healthcare

Geometric Deep Learning focuses on applying deep learning techniques to non-Euclidean data like graphs and manifolds, often requiring advanced technical skills. Data Scientists analyze and interpret data to inform business decisions, typically working with structured data and statistical tools. While both roles involve data analysis, Geometric Deep Learning is more research-oriented and specialized in AI development, whereas Data Scientists focus on practical data insights across industries.

What are some common challenges faced when working on geometric deep learning projects, and how can they be addressed?

One common challenge in Geometric Deep Learning is dealing with the complexity and diversity of data structures, such as graphs, point clouds, or manifolds. These data types often require specialized neural network architectures and custom preprocessing steps, which can be more complex than traditional deep learning tasks. Collaboration with domain experts and staying updated with the latest research are crucial for overcoming these obstacles. Additionally, debugging and visualizing the learning process can be more challenging, so employing robust evaluation metrics and visualization tools is highly recommended.

What are the key skills and qualifications needed to thrive as a geometric deep learning engineer?

To excel as a Geometric Deep Learning Engineer, you need a strong background in mathematics, machine learning, and computer science, typically supported by an advanced degree in a related field. Proficiency with deep learning frameworks like PyTorch or TensorFlow, as well as experience with graph neural networks (GNNs) and geometric data structures, is essential. Strong analytical thinking, problem-solving abilities, and collaborative communication are key soft skills for innovating and working with interdisciplinary teams. These skills are crucial for developing cutting-edge models that leverage geometric data, enabling impactful solutions across domains such as computer vision, biology, and social network analysis.

What are popular job titles related to Geometric Deep Learning jobs in Wisconsin?

For Geometric Deep Learning jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Geometric Deep Learning jobs in Wisconsin look for?

The top searched job categories for Geometric Deep Learning jobs in Wisconsin are:

What cities in Wisconsin are hiring for Geometric Deep Learning jobs?

Cities in Wisconsin with the most Geometric Deep Learning job openings:

Sr Design Engineer

Milwaukee Tool

Brookfield, WI • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 11 days ago


Job description

Job Description:

Senior Design Engineer

DRIVEN TO SET THE STANDARD.

At Milwaukee Tool, we strive to be the best-delivering new-to-Milwaukee and truly disruptive innovations that redefine what's possible for our users. Our people and our culture are the foundation of our success.InFastening Power ToolsNPD, you'll join a collaborative, high-performing team where technical excellence, analytical leadership, and continuous learning are celebrated. Every day, you'll be empowered to own your work, drive breakthrough solutions, and help shape the future of fastening technology.

We invest in our people, providing the resources, trust, and support needed to grow, learn, and make an impact. Our commitment to teamwork and technical rigor ensures every developmental phase happens in-house, guided by passionate engineers who push the boundaries of innovation. Year after year, we deliver industry-leading advancementsand we're just getting started.

Duties & Responsibilities

  • Leadtechnical resource on mid/high complexity Power Tool New Product Development projects.

  • Provide cleartechnicalinformation tocross functional teammates,Project Leaders and Global Engineering teams, facilitating trade-off decisions.

  • Establish test regimens for components and assemblies within project scope with minimal guidance; deliver complete data analysis to support design recommendations.

  • Serve as a technical resource and provide consultation/mentorship toengineering and non-engineering teammates alike.

  • Apply first principles to create free body diagrams and develop static and/or dynamic models of new systems, leading the design analytically and supporting decision-making through rigorous engineering analysis.

  • Perform mechanical stress analysis on linear and non-linear systems.

  • Conduct root cause analysis to identify and resolve technical challenges.

  • Execute tolerance stack analyses (statistical and geometric preferred).

  • Design and analyze gear-driven systems and mechanisms, including sound and vibration/response of dynamic systems.

  • Demonstrate system-level thinkingbymaintaining a holistic view of how interdisciplinary design decisions affect user needs and project delivery.

  • Collaborate proactively with interdisciplinary peers to plan for and address issues that could impact schedule, cost, performance, or delivery of user needs.

  • Create and execute plans to inform early-stage development using both empirical and analytical methods; develop structured approaches to investigate root cause and troubleshoot designs under cost, schedule, performance, and other constraints.

  • Operate effectively in a high-paced and dynamic development environment.

  • Motivate and support learning-actively seek opportunities to learn and teach others about new discoveries and best practices.

What TOOLS you'll bring with you:

  • Bachelor of Science Degree in Mechanical Engineering

  • 5 years ofmachinedesignexperience,minimum

  • Strong proficiency in 3D CADModeling

  • Deep mechanical aptitude is required including a broad knowledge of engineering materials,machine component design,mechanical properties and an understanding of the manufacturing processes associated with these materials.

  • Willingness and abilityto travel up to 10% (travel includes Domestic and International).

  • Genuine interest in tools of the construction trades and a passion for innovative product development.

  • Strong motivation to grow, learn, and be challenged by the unknown

  • Experience in systems where closed-loop performance, accuracy, and repeatability are critical (e.g., robotics, automated assembly, precision torque/control systems).

  • Strong foundation in process control and applied statistics, including capability metrics, variation reduction, and experimental design.

  • Ability to think at the system levelby showing anunderstanding how hardware, controls, and user/environmental inputs interact to influence performance consistency.

Benefits

  • Comprehensive health, dental, and vision insurance plans.

  • 401(k) savings program with immediate vesting.

  • Education assistance to support your ongoing growth.

  • On-site wellness resources, including a fitness center, cafeteria, complimentary coffee, and more.

  • Patent Award Program to recognize and reward innovation.

Milwaukee Tool is an equal opportunity employer.