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Science Engineer Jobs in Madison, WI (NOW HIRING)

Senior AI Engineer

Middleton, WI

$107K - $147K/yr

Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field. * Advanced degree in Artificial Intelligence, Machine Learning, or Data Science preferred ...

DevOps Engineer

Verona, WI · On-site

$54 - $74/hr

Bachelor's degree in Computer Science, Engineering, or a related technical field. * Proficiency in Python, with attention to software system design and architectural practices. * Hands-on experience ...

Manufacturing Engineer

Madison, WI · On-site

$91K - $155K/yr

Help us change lives At Exact Sciences, we're helping change how the world prevents, detects and ... Essential Duties Position Overview The Manufacturing Engineer will work cross-functionally to lead ...

Bachelor's degree in Science, Engineering, or related technical field * 5+ years of Quality Engineering or Manufacturing Engineering experience preferred * Knowledge/use of quality tools such as: 8D ...

New

** Quality Engineer

Middleton, WI · On-site

$85K - $115K/yr

Bachelor's degree in Science, Engineering, or related technical field * 5+ years of Quality Engineering or Manufacturing Engineering experience preferred * Knowledge/use of quality tools such as: 8D ...

New

Bachelor's degree in Science, Engineering, or related technical field * 5+ years of Quality Engineering or Manufacturing Engineering experience preferred * Knowledge/use of quality tools such as: 8D ...

New

Sr. Software Engineer

Madison, WI

$123K - $162K/yr

Help us change lives At Exact Sciences, we're helping change how the world prevents, detects and ... Position Overview As a Sr. Software Engineer, this seasoned professional will demonstrate ...

Sr. Software Engineer

Madison, WI · On-site

$123K - $162K/yr

Help us change lives At Exact Sciences, we're helping change how the world prevents, detects and ... Position Overview As a Sr. Software Engineer, this seasoned professional will demonstrate ...

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Science Engineer information

What are the key skills and qualifications needed to thrive as a Science Engineer, and why are they important?

To thrive as a Science Engineer, you need a strong background in engineering principles, scientific analysis, and problem-solving, typically supported by a relevant engineering degree. Familiarity with technical tools such as CAD software, simulation programs, and data analysis platforms, as well as certifications like Professional Engineer (PE), are often required. Strong communication, teamwork, and critical thinking skills help distinguish top performers in this field. These competencies ensure innovative solutions, effective project execution, and collaboration across interdisciplinary teams.

What are science engineers?

Science engineers are professionals who apply scientific principles and methods to solve technical problems and develop new technologies. They often work at the intersection of research and application, using their expertise in fields such as physics, chemistry, biology, or materials science to design innovative products, improve existing processes, and conduct experiments. Science engineers collaborate with researchers, engineers, and other specialists to translate scientific discoveries into practical solutions for industries like healthcare, energy, manufacturing, and environmental management.

What is the difference between Science Engineer vs Mechanical Engineer?

AspectScience EngineerMechanical Engineer
Required CredentialsBachelor's or higher in science or engineering fields, certifications varyBachelor's or higher in mechanical engineering, PE license optional
Work EnvironmentResearch labs, development centers, industrial settingsManufacturing plants, design offices, testing facilities
Employer & Industry UsageResearch institutions, tech companies, government agenciesManufacturing firms, automotive, aerospace, energy sectors
Common Search & ComparisonYesYes

Science Engineers focus on applying scientific principles to develop new technologies and conduct research, often working in labs or research centers. Mechanical Engineers design, analyze, and manufacture mechanical systems, working primarily in industrial and manufacturing environments. While both roles require engineering knowledge, Science Engineers emphasize scientific research, whereas Mechanical Engineers focus on practical system design and production.

What are some common challenges Science Engineers face when working on interdisciplinary teams?

Science Engineers often collaborate with professionals from diverse backgrounds, such as chemists, physicists, and computer scientists. One common challenge is bridging communication gaps due to different terminologies and approaches used in each discipline. Successfully navigating these differences requires strong interpersonal skills and a willingness to learn from team members. Adapting to varying project management styles and aligning on shared goals are also key aspects of effective interdisciplinary teamwork.
What are popular job titles related to Science Engineer jobs in Madison, WI? For Science Engineer jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Science Engineer jobs in Madison, WI look for? The top searched job categories for Science Engineer jobs in Madison, WI are:
What cities near Madison, WI are hiring for Science Engineer jobs? Cities near Madison, WI with the most Science Engineer job openings:
Infographic showing various Science Engineer job openings in Madison, WI as of June 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 91% In-person, and 9% Remote job distribution.
Senior AI Engineer

$107K - $147K/yr

Other

Posted 8 days ago


Springs Window Fashions rating

4.8

Company rating: 4.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

Description

The Best Experience Company 

Our tagline is "The Best Experience Company." More than just a set of words, it represents the essence of who we are at Springs Window Fashions. As North America's premier window covering company, we're committed to creating the Best Experience for our associates, consumers and end users, business partners, and communities. We want you to join our team of passionate self-starters who believe the world is full of Best Experience opportunities. So, if you're excited about the thought of a Best Experience career with a team focused on creating Best Experiences for all, we want to hear from you! 

Position Summary

The Sr AI Engineer serves as a technical leader responsible for enterprise-scale AI architecture, solution governance, and advanced AI engineering practices. This role drives strategic AI adoption and mentors engineering teams across the organization. This role will partner closely with Information Technology, business stakeholders, operations, customer service, product development, and analytics teams to deliver scalable AI capabilities that improve efficiency, enhance customer experiences, and enable data-driven decision making.

The ideal candidate combines strong software engineering fundamentals with practical expertise in machine learning, generative AI, data engineering, automation, and cloud technologies. This individual must be comfortable operating in a fast-paced, transformation-oriented environment and capable of translating business problems into production-ready AI solutions.

Key Responsibilities

  • Design, build, deploy, and maintain enterprise AI and machine learning solutions.
  • Develop and operationalize generative AI applications leveraging large language models (LLMs), retrieval-augmented generation (RAG), copilots, and intelligent automation.
  • Partner with business leaders to identify high-value AI use cases aligned to strategic priorities.
  • Build scalable AI pipelines, APIs, and integrations with enterprise platforms and business applications.
  • Collaborate with data engineering teams to ensure high-quality, governed, and accessible data for AI initiatives.
  • Develop AI-enabled analytics and predictive models supporting manufacturing, supply chain, customer service, sales, and operations.
  • Implement AI governance, model monitoring, security, and responsible AI practices.
  • Optimize model performance, scalability, reliability, and operational efficiency.
  • Evaluate emerging AI technologies and recommend enterprise adoption strategies.
  • Support AI experimentation, rapid prototyping, and innovation initiatives across the organization.
  • Create technical documentation, operational procedures, and knowledge transfer materials.
  • Mentor technical teams and promote AI engineering best practices.
Requirements

Required

  • Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.
  • Advanced degree in Artificial Intelligence, Machine Learning, or Data Science preferred.
  • 8-10+ years overall technology experience
  • 5+ years focused in AI/ML engineering
  • Proven experience deploying enterprise-scale AI systems
  • Experience leading technical teams or major initiatives
  • Strong experience with AI architecture and distributed systems
  • Experience operationalizing generative AI at scale
  • Executive communication capability

Preferred

  • Experience with Microsoft Copilot, Azure OpenAI, or enterprise generative AI platforms.
  • Manufacturing, supply chain, consumer products, or retail industry experience.
  • Experience with MLOps, vector databases, orchestration frameworks, and AI observability platforms.
  • Familiarity with data visualization and analytics platforms such as Power BI or Tableau.
  • Experience leading enterprise AI transformation initiatives.
  • AI governance frameworks
  • FinOps for AI workloads
  • Multi-cloud AI strategy
  • Experience building internal AI platforms or copilots

How We Work to Deliver a Best Experience: Our Culture

  • Our Core Value: We do the right thing, always
  • Our Seven Cultural Behaviors
    • Empowerment - We trust our people.
    • Ownership - We take 100% responsibility for our roles actions, and results.
    • Leadership - We all lead by example and talk direct with respect (DWR).
    • One Team - We are One Springs Team.
    • Customer First - We consider our customers' needs before every decision.
    • Continuous Innovation - We are constantly learning, innovating, and improving.
    • Speed - We define priorities and operate with a sense of urgency and agility.
Employment Type: OTHER