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Mobile Machine Learning Jobs in Wisconsin (NOW HIRING)

Senior Software Engineer

Milwaukee, WI · On-site

$120.70K - $159.10K/yr

... machine learning models, and automation frameworks. Beyond writing code, you will play a key role ... mobile applications, or server-based systems. As a senior engineer, you will take ownership of ...

... machine learning models, and automation frameworks. Beyond writing code, you will play a key role ... mobile applications, or server-based systems. As a senior engineer, you will take ownership of ...

Senior Software Engineer

Milwaukee, WI

$120.70K - $159.10K/yr

... machine learning models, and automation frameworks. Beyond writing code, you will play a key role ... mobile applications, or server-based systems. As a senior engineer, you will take ownership of ...

Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, w ... Collaborate with teams to leverage AI and machine learning to improve access risk detection ...

New

Packaging Operator

Superior, WI

$16.25 - $19.50/hr

Key Accountabilities Operating Packaging Machines Operate packing machines and palletizers at ... Be receptive to learning and developing new procedures and skills. Computer literate with basic ...

Responsible for planning, preparing, and delivering instruction and assessment of learning outcomes ... Technological fluency with Apple iPads, mobile devices, and mobile apps specific to the HVAC ...

Welder 1 Mobile 2nd

Fort Atkinson, WI · On-site

$17.75 - $23.50/hr

Following all safety procedures, including Lock Out Tagout, ergonomic practices, and machine start ... Commitment to safety and continuous learning. Spacesaver is an Equal Opportunity Employer of ...

Welder 1 Mobile 2nd

Fort Atkinson, WI · On-site

$17.75 - $23.50/hr

Following all safety procedures, including Lock Out Tagout, ergonomic practices, and machine start ... Commitment to safety and continuous learning. Spacesaver is an Equal Opportunity Employer of ...

Chemical Operator

Appleton, WI · On-site

$26 - $28/hr

... learning and development. Where the chemistry happens... The role of the Chemical Operator is to ... Basic Computer Skills Machines & technologies you'll use: * Forklifts

... learning and development. Where the chemistry happens... The role of the Chemical Operator is to ... Basic Computer Skills Machines & technologies you'll use: * Forklifts ID:qnkTyx

As a Heavy Duty Mechanic at Drax, you will conduct routine maintenance on machines to ensure the ... A Supportive Team: Work in an environment where continuous learning is encouraged, and your ...

Heavy Duty Mechanic

Madison, WI · On-site

$56.82/hr

As a Heavy Duty Mechanic at Drax, you will conduct routine maintenance on machines to ensure the ... A Supportive Team: Work in an environment where continuous learning is encouraged, and your ...

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Mobile Machine Learning information

See Wisconsin salary details

$12

$25

$120

How much do mobile machine learning jobs pay per hour?

As of May 30, 2026, the average hourly pay for mobile machine learning in Wisconsin is $25.56, according to ZipRecruiter salary data. Most workers in this role earn between $14.57 and $20.38 per hour, depending on experience, location, and employer.

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

To thrive as a Mobile Machine Learning Engineer, you need a solid background in computer science, machine learning, and mobile application development, often supported by a relevant degree and experience. Proficiency with ML frameworks (like TensorFlow Lite or Core ML), mobile platforms (Android/iOS), and deployment tools is typically required. Strong problem-solving skills, adaptability, and effective communication set standout professionals apart in this field. These skills are crucial for successfully developing, optimizing, and integrating machine learning models into efficient and user-friendly mobile applications.

What are some common challenges faced by Mobile Machine Learning engineers when deploying models on mobile devices?

Mobile Machine Learning engineers often encounter challenges related to limited computational resources and memory constraints on mobile devices. Optimizing models for efficient inference without significant loss in accuracy is a key hurdle, as is ensuring compatibility across different devices and operating systems. Additionally, balancing power consumption and real-time performance is critical, so engineers frequently collaborate with mobile app developers and hardware specialists to deliver seamless user experiences while maintaining model integrity.

What is mobile machine learning?

Mobile machine learning refers to the development and deployment of machine learning models on mobile devices such as smartphones and tablets. It enables apps to perform tasks like image recognition, language translation, and speech processing directly on the device without needing to send data to the cloud. This approach improves privacy, reduces latency, and can work even without an internet connection. Developers use frameworks like TensorFlow Lite, Core ML, and PyTorch Mobile to optimize models for the limited resources of mobile hardware.

What is the difference between Mobile Machine Learning vs Data Scientist?

AspectMobile Machine LearningData Scientist
Required CredentialsBachelor's in CS, ML, or related; experience with mobile platformsBachelor's or higher in CS, Statistics, or related; data analysis skills
Work EnvironmentMobile app development teams, on-device processingData analysis teams, research environments
Industry UsageMobile app companies, tech startupsFinance, healthcare, tech firms
Common Search/ComparisonYesYes

Mobile Machine Learning focuses on developing ML models optimized for mobile devices and integrating them into mobile apps. Data Scientists analyze large datasets to extract insights and build predictive models across various industries. While both roles require programming and ML knowledge, Mobile Machine Learning emphasizes on-device deployment and mobile platform expertise, whereas Data Scientists focus on data analysis and model development for broader applications.

What are the most commonly searched types of Machine Learning jobs in Wisconsin? The most popular types of Machine Learning jobs in Wisconsin are:
What cities in Wisconsin are hiring for Mobile Machine Learning jobs? Cities in Wisconsin with the most Mobile Machine Learning job openings:
Senior Software Engineer

Senior Software Engineer

Direct Supply, Inc.

Milwaukee, WI • On-site

$120.70K - $159.10K/yr

Full-time

Posted 25 days ago


Job description

Position Summary:
Direct Supply is building the future of healthcare technology with industry-leading products, solutions and platforms to help improve the lives of millions of seniors and those who care for them.
In the Senior Software Engineer position, you'll lead the development of intelligent, adaptive, and scalable applications by leveraging AI-powered development tools, machine learning models, and automation frameworks. Beyond writing code, you will play a key role in setting technical direction, mentoring engineers, and driving AI-first software strategies. You'll work on a cross-functional team dedicated to creating high-quality, scalable web-based products, mobile applications, or server-based systems. As a senior engineer, you will take ownership of complex AI-enhanced solutions, influence architectural decisions, and advocate for AI-driven development methodologies. Your leadership will help the team develop a deep understanding of business context, financial trade-offs, and the strategic impact of AI-powered solutions.
Skills Needed:
  • Applies AI and Technology - Identifies opportunities to boost efficiency and add value using AI and tech. Embraces and applies digital innovations and tech solutions to build business. Eagerly learns and integrates new technologies where they matter most.
  • Champions Innovation - Propels teams to unlock value with cutting-edge, tech-enabled innovations. Stays ahead of the tech curve, ready to embrace the next big thing. Leads with an entrepreneurial mindset and takes calculated risks.
  • Leads Through Change & Ambiguity - Navigates the unknown with confidence, steering through change and uncertainty with a clear vision and unwavering determination.
  • Ability to mentor and lead engineers in AI-first development methodologies, fostering a culture of innovation and technical excellence.
  • Technical expertise in AI integration across natural language processing, computer vision, and generative models.

What You'll Do and Impact:
  • Lead and mentor engineers in AI-first development methodologies and best practices.
  • Architect and scale AI-enhanced systems, ensuring security, scalability, and high performance.
  • Integrate AI-driven capabilities such as chatbot assistants, image-based diagnostics, and automated content creation into products.
  • Drive adoption of AI-powered engineering tools (e.g., LLM-augmented IDEs, automation frameworks) to enhance development efficiency.
  • Implement observability and monitoring systems to track AI application performance and ensure proactive issue resolution.
  • Design and optimize AI-driven APIs and microservices for seamless interaction with models, applications, and databases.
  • Stay engaged with AI and engineering communities, bringing cutting-edge practices and insights back to the team.
  • Mentor engineers on technical execution, business impact, and AI-first strategic thinking.
  • Balance execution speed with innovation, rapidly testing and iterating AI-driven features.
  • Work in an agile environment, ensuring high-quality, scalable software solutions.

Experience:
  • 5+ years of software development experience, including 2+ years working on AI-powered applications or AI-integrated solutions.
  • Bachelor's degree in Computer Science, Computer Engineering, or a related field.
  • Hands-on experience developing and deploying AI-driven applications (provide examples using models like Hugging Face or APIs like OpenAI, Anthropic).
  • Proficiency in Microsoft environments (Visual Studio, VS Code) and cloud services (AWS, Azure) for scalable AI applications.
  • Strong understanding of AI model cost optimization, infrastructure scaling, and performance tuning.
  • Experience integrating LLMs, agentic workflows, and autonomous AI systems into production environments.
  • Proven ability to mentor engineers and lead AI-first engineering transformations.

Additional Items of Interest:
  • Contributions to open-source AI projects or AI research.
  • Experience with agentic AI frameworks (LangChain, AutoGPT).
  • Thought leadership through conferences, research, or industry engagement in AI-first development.
  • Expertise in AI-powered UI/UX development and human-computer interaction.
  • Strong proficiency in containerization (Docker, Kubernetes) and cloud-native AI deployments.
  • Diligence in unit testing, integration testing, and AI-driven problem-solving.

Job to be performed in the location listed. Generous benefit package available.
Direct Supply, Inc. and its U.S. subsidiaries are equal opportunity and affirmative action employers committed to diverse workforces.
© 2013 to 2026 Direct Supply, Inc. All rights reserved.