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Computer Science Engineer Jobs in Milwaukee, WI (NOW HIRING)

Manager, DevOps Engineering

Wauwatosa, WI · Hybrid

$51.25 - $70.25/hr

Bachelor's degree in Computer Science, Engineering, or a related field; equivalent experience may be considered. * Experience: 6 - 8 years of related experience * Technical Skills:Strong knowledge of ...

Manager, DevOps Engineering

Wauwatosa, WI · On-site

$51.25 - $70.25/hr

Bachelor's degree in Computer Science, Engineering, or a related field; equivalent experience may be considered. * Experience: 6 - 8 years of related experience * Technical Skills: Strong knowledge ...

Bachelor s degree in Computer Science, Engineering, or a related field; Master s preferred. * 10+ years of software engineering experience, including 3+ years leading architectural decisions across ...

New

The ideal candidate will possess a Bachelor's degree in Computer Science, Computer Engineering, Data Science, Electrical Engineering, Industrial Engineering or a related field. To be successful you ...

Firmware Engineer

Germantown, WI · On-site

$63.65 - $73.70/hr

We are looking for an experienced Firmware Engineer to support the design and delivery of advanced ... Computer Science, or a related technical field. • Additional experience with Bluetooth, C ...

Senior Staff Software Engineer

Milwaukee, WI

$120K - $159K/yr

Bachelor's degree in Computer Science, Engineering, or a related field; Master's preferred. * 10+ years of software engineering experience, including 3+ years leading architectural decisions across ...

Senior Software Engineer - Digital

Waukesha, WI · On-site

$122K - $161K/yr

Required : • Bachelor's Degree in Computer Science or "STEM" Majors (Science, Technology, Engineering and Math) with minimum of 4 years of experience. • Demonstrates the initiative to explore ...

Senior Systems Engineer

Waukesha, WI · On-site

$104K - $143K/yr

Bachelor's degree in Engineering, Computer Science, Biomedical Engineering, Electrical Engineering, Mechanical Engineering, or a related STEM discipline. * Minimum of 8 years of engineering work ...

Experience using modern analytics tools, programming languages, and cloud platforms such as Python ... Bachelor's of Science in Data Science, Computer Science, Statistics, Applied Mathematics or ...

Senior Systems Engineer

Waukesha, WI · Hybrid

$104K - $143K/yr

Bachelor's degree in Engineering, Computer Science, Biomedical Engineering, Electrical Engineering, Mechanical Engineering, or a related STEM discipline. * Minimum of 8 years of engineering work ...

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Computer Science Engineer information

See Milwaukee, WI salary details

$47.8K

$119.7K

$135.5K

How much do computer science engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for computer science engineer in Milwaukee, WI is $119,722.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,900.00 and $129,600.00 per year, depending on experience, location, and employer.

What are some typical projects or tasks a Computer Science Engineer might work on within a multidisciplinary team?

Computer Science Engineers often collaborate with professionals from diverse backgrounds such as product managers, designers, and data analysts. Typical projects may include developing scalable software applications, optimizing algorithms for performance, or integrating new technologies into existing systems. These engineers are frequently involved in code reviews, planning meetings, and cross-functional brainstorming sessions to ensure solutions meet both technical and business requirements. This collaborative environment not only enhances technical skills but also fosters communication and project management abilities.

What are Computer Science Engineers?

Computer Science Engineers are professionals who apply principles of computer science, engineering, and mathematics to design, develop, test, and maintain computer systems, software, and networks. They work on a wide range of technologies, from creating applications and operating systems to improving network security and optimizing hardware performance. Their role often involves problem-solving, programming, and collaborating with other engineers and IT specialists to deliver efficient technology solutions.

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

To thrive as a Computer Science Engineer, you need a solid background in programming, algorithms, data structures, and computer systems, often supported by a degree in computer science or a related field. Familiarity with languages like Python, Java, or C++, as well as experience using development tools, version control systems (such as Git), and relevant certifications like AWS or Cisco, are highly valued. Strong problem-solving abilities, teamwork, and effective communication help set exceptional engineers apart. These skills are vital for designing, developing, and maintaining reliable software solutions in ever-evolving technical environments.
What are popular job titles related to Computer Science Engineer jobs in Milwaukee, WI? For Computer Science Engineer jobs in Milwaukee, WI, the most frequently searched job titles are:
What cities near Milwaukee, WI are hiring for Computer Science Engineer jobs? Cities near Milwaukee, WI with the most Computer Science Engineer job openings:
Applied Machine Learning Engineer II - Advanced Engineering & Technology

Applied Machine Learning Engineer II - Advanced Engineering & Technology

Milwaukee Tool

Brookfield, WI • On-site

Full-time

Re-posted 9 days ago


Job description

Job Summary:
Milwaukee Tool is a company that values innovation and culture, and they are seeking an Applied Machine Learning Engineer II to join their Advanced Engineering and Technology team. This role involves utilizing machine learning expertise to solve complex engineering problems and deliver innovative technologies that enhance product development capabilities.
Responsibilities:
• Research and evaluate emerging AI and ML technologies, advancing them through the Technology Readiness Level (TRL) process from concept through technology integration.
• Frame engineering problems as ML problems by assessing ML value versus physics‑based or analytical approaches and defining practical success criteria.
• Design, train, evaluate, and deploy ML models to solve applied science and engineering problems that expand product development capabilities.
• Build end‑to‑end ML workflows spanning data acquisition, feature engineering, model development, validation, and deployment (PyTorch, TensorFlow, CUDA, Azure ML).
• Deploy ML enabled systems on edge hardware and cloud infrastructure to support engineering decisions.
• Prepare technology transfer packages by documenting architecture decisions, known limitations, data requirements, and deployment specifications to enable technology adoption.
• Collaborate with cross-functional teams to deliver ML solutions aligned with engineering needs.
• Identify and assess emerging technologies via literature, universities, conferences, and vendor engagement.
Qualifications:
Required:
• BS in Mechanical Engineering, Electrical Engineering, Materials Science, Physics, Computer Science, Data Science, or related engineering discipline, with advanced coursework or experience in Machine Learning.
• +3 or more years of experience applying ML to physical-world engineering or scientific problems (materials, mechanical systems, manufacturing, sensor systems, chemical processes, or similar).
• Demonstrated experience designing, training, evaluating, and deploying ML models on real-world problems.
• Strong working knowledge of Python and the scientific computing ecosystem (NumPy, SciPy, Pandas, scikit‑learn), with working knowledge of SQL.
• Hands-on experience with at least one deep learning framework (PyTorch or TensorFlow) and familiarity with cloud ML platforms (Azure ML, AWS SageMaker, or equivalent).
• Strong mathematical foundations in linear algebra, probability, statistics, and optimization, with the ability to reason about loss functions, convergence behavior, and model assumptions.
• Demonstrated ability to formulate ambiguous engineering or scientific problems into well-defined ML problems with clear objectives and evaluation criteria.
• Curiosity‑driven approach to learning new technologies and methods, with emphasis on applying machine learning to real‑world scientific and engineering challenges.
• Ability to work across a diverse range of data types.
• Hands-on approach to collaboration and evaluation of technologies.
• Ability to thrive in an ambiguous and fast-paced environment, where problem definitions evolve.
• Ability to travel 10% of the time (domestic and international).
Preferred:
• Master’s Degree or PhD in relevant field.
• Familiarity with physics-informed ML approaches, embedding physical constraints in model architecture, or surrogate modeling for simulation acceleration.
• Experience with computer vision for engineering applications.
• Exposure to edge deployment: model optimization containerized deployment to industrial hardware.
• Experience with design of experiments (DOE), uncertainty quantification, or Bayesian optimization.
• Familiarity with version control, experiment tracking, and reproducible research practices.
Company:
Milwaukee Tool manufactures electric power tools and accessories. Founded in 1924, the company is headquartered in Brookfield, USA, with a team of 5001-10000 employees. The company is currently Late Stage.