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Software Engineer Ai Model Training Jobs in Wisconsin

WI · On-site

$140 - $200/hr

Hands‑on experience evaluating, deploying, and integrating AI models into production systems ... Strong software engineering foundation with expertise in designing production systems (including ...

New

AI Engineer

Milwaukee, WI · On-site

$50K - $112K/yr

... software implementation to enable the AI models to be useful and scalable. As an Associate, you ... training and/or progressively responsible work experience in Engineering with AI and Machine ...

You track where the field is heading and design systems that will adapt gracefully as models and ... What You Bring * 7+ years of software engineering experience, including 2+ years building AI/ML ...

$85 - $127/hr

... software engineering experience, with at least 5 years building and deploying AI/ML systems in production. * Hands‑on experience with the full ML lifecycle: data preparation, model training ...

New

WI · On-site

$90 - $130/hr

Master's degree in IT, Computer Science, or Software Engineering * Minimum 2 years backend ... Exposure to latest technologies and AI models * Team activities including dinners, sports, and ...

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Data Software Engineer

Krakow, WI · On-site

$184 - $276/hr

... Pipelines, enabling AI models to move from research to production Technical environment ... Engineering Experience: 4+ years professional software engineering experience, with a proven track ...

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... software engineering experience, with at least 5 years building and deploying AI/ML systems in production * Hands-on experience with the full ML lifecycle: data preparation, model training ...

... software engineering experience, with at least 5 years building and deploying AI/ML systems in production * Hands-on experience with the full ML lifecycle: data preparation, model training ...

... software engineering experience, with at least 5 years building and deploying AI/ML systems in production * Hands-on experience with the full ML lifecycle: data preparation, model training ...

WI · On-site

$140 - $190/hr

Paradigm is a software company transforming the way that the residential, construction & building ... Deploy and support machine learning models and AI solutions in production, maintaining best ...

WI · On-site

$120 - $180/hr

Paradigm is a software company transforming the way that the residential, construction & building ... Deploy and support machine learning models and AI solutions in production, maintaining best ...

AI Engineer

Glendale, WI · On-site

$85 - $127/hr

... software engineering experience, with at least 5 years building and deploying AI/ML systems in production * Hands‑on experience with the full ML lifecycle: data preparation, model training ...

WI · On-site

$90 - $120/hr

We are looking for an AI Engineer with strong computer science foundations and proven ability to ... Apply strong problem-solving skills to optimize models and workflows for performance, efficiency ...

WI · On-site

$106.40 - $178.10/hr

Writing and optimizing code for high‑performance AI models. * Develop an actionable Generative AI ... Lead AI projects, demonstrating hands‑on experience in code development and software engineering.

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Showing results 41-60

Software Engineer Ai Model Training information

What does a software engineer AI model training do?

A Software Engineer specializing in AI Model Training is responsible for designing, developing, and optimizing machine learning models. Their work involves preparing and processing large datasets, selecting appropriate algorithms, implementing training pipelines, and evaluating model performance. They collaborate closely with data scientists and other engineers to ensure that AI models are accurate, efficient, and suitable for deployment in real-world applications. Additionally, they may help maintain infrastructure for model training and contribute to research and development of new AI techniques.

What are the key skills and qualifications needed to thrive as a software engineer AI model training?

To excel as a Software Engineer in AI Model Training, you need strong programming skills (especially in Python), a solid grasp of machine learning fundamentals, and typically a degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, familiarity with data processing tools, and sometimes certifications in AI or ML are highly valuable. Analytical thinking, problem-solving, and effective collaboration enhance your ability to develop and refine complex AI models. These skills ensure that AI solutions are robust, scalable, and aligned with organizational goals in a rapidly evolving technological landscape.

What are some common challenges faced by software engineers AI model training, and how can they be addressed?

Software Engineers focusing on AI model training often encounter challenges such as managing large datasets, ensuring data quality, and optimizing model performance. Addressing these issues typically involves close collaboration with data scientists, domain experts, and DevOps engineers to streamline the data pipeline and refine training processes. Staying up to date with the latest advancements in machine learning frameworks and tools can also help overcome technical hurdles. Regular code reviews and cross-functional meetings further support problem-solving and foster a productive work environment.

What is the difference between Software Engineer Ai Model Training vs Data Scientist?

AspectSoftware Engineer Ai Model TrainingData Scientist
Required CredentialsBachelor's in CS, related field; experience with ML frameworksBachelor's or higher in CS, statistics, or related field; strong analytical skills
Work EnvironmentDevelopment teams, AI labs, cloud platformsData analysis, research environments, business units
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting

While both roles involve working with data and machine learning, Software Engineer Ai Model Training focuses on developing and optimizing AI models through coding and engineering practices. Data Scientists analyze data, build models, and generate insights. The roles often collaborate but differ in their core responsibilities and skill sets.

Can I get paid to train AI models?

Yes, software engineers and AI specialists can be paid to train AI models, especially in roles that involve developing, fine-tuning, and optimizing machine learning algorithms. These positions often require knowledge of programming languages like Python, experience with machine learning frameworks, and access to computational resources. Compensation varies based on experience, location, and the complexity of the models being trained.

How to become a software engineer AI model trainer?

To become a software engineer AI model trainer, you should have a strong background in computer science, programming skills in languages like Python, and experience with machine learning frameworks such as TensorFlow or PyTorch. Gaining knowledge in data preprocessing, model evaluation, and working with large datasets is essential, along with relevant certifications or advanced degrees in AI or related fields.

What are popular job titles related to Software Engineer Ai Model Training jobs in Wisconsin?

For Software Engineer Ai Model Training jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Software Engineer Ai Model Training jobs in Wisconsin look for?

The top searched job categories for Software Engineer Ai Model Training jobs in Wisconsin are:

What cities in Wisconsin are hiring for Software Engineer Ai Model Training jobs?

Cities in Wisconsin with the most Software Engineer Ai Model Training job openings:

Application Software Engineer, Applied AI

Future Ventures

WI • On-site

$140 - $200/hr

Other

Posted yesterday

New


Job description

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.

APPLICATION SOFTWARE ENGINEER, APPLIED AI

The application software team is the central nervous system of SpaceX – we create mission critical applications that are used throughout SpaceX to accelerate launch vehicle production and flight as well as systems that allow Starlink to grow into a worldwide fast, reliable Internet service. We are looking for engineers who treat fellow teammates with fairness, respect, and support.

In this Applied AI role within the Application Software team, you will design, evaluate, deploy, and integrate modern AI systems—including large language models and agentic systems—that power products and infrastructure across SpaceX. You will own the end-to-end lifecycle of AI capabilities from prototype to production while partnering closely with Product, Engineering, and Operations teams. We are looking for a strong software engineer with a proven track record of delivering AI products, including hands‑on experience evaluating, deploying, and integrating AI solutions into real production systems.

Aerospace experience is not required – rather we look for smart, motivated, respectful, collaborative engineers who love solving problems and want to make an impact on a super inspiring mission. You will have full ownership of challenging problems, working with a team of enthusiastic engineers with diverse perspectives to design and produce solutions that enable SpaceX to move towards our goals at a rapid pace. The success of the missions at SpaceX depends on the software that you and your team produce.

RESPONSIBILITIES:
  • Develop highly reliable software solutions used across SpaceX, including AI‑powered applications that accelerate production, flight, and Starlink operations
  • Create new applications that improve how SpaceX operates by incorporating modern large language models, agentic systems, and other AI capabilities
  • Own the full lifecycle of Applied AI systems: design, evaluation, deployment, monitoring, and iteration from prototype to production
  • Deep dive into users’ problems to uncover high‑leverage AI opportunities and deliver efficient, production‑grade solutions
  • Architect production systems for agentic workflows, tool‑use, multi‑agent orchestration, advanced retrieval, and long‑context applications that prioritize reliability, safety, and responsible deployment
  • Build and maintain rigorous evaluation frameworks (LLM‑as‑judge, automated benchmarks, online evaluation) and production observability/monitoring for AI quality, safety, latency, and cost
  • Stay at the frontier of LLM techniques and rapidly incorporate emerging best practices into production systems across SpaceX programs
BASIC QUALIFICATIONS:
  • Bachelor's degree in computer science, engineering, math, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree
  • 1+ years of experience in full stack development
PREFERRED SKILLS AND EXPERIENCE:
  • Hands‑on experience evaluating, deploying, and integrating AI models into production systems
  • Proven track record of delivering (or significantly contributing to) end‑to‑end AI products or production AI‑powered features
  • Proven track record of shipping real‑world AI products from prototype through production deployment and iteration
  • Deep hands‑on experience with modern LLM techniques: agentic systems, tool‑use / function calling, multi‑agent orchestration, advanced retrieval architectures, fine‑tuning, and structured outputs
  • Experience building production evaluation systems (LLM‑as‑judge, automated eval harnesses, A/B testing, red‑teaming) and AI observability/monitoring (tracing, quality metrics, safety, cost)
  • Experience designing and implementing production architecture for AI‑powered applications with strong emphasis on reliability, safety, and responsible deployment
  • Previous experience in AI product design, development, integration, testing, and productionization
  • Strong software engineering foundation with expertise in designing production systems (including AI‑powered and system‑to‑system architectures) and a track record of writing clean, maintainable code
  • Programming experience in Python, C#.NET, Go, Scala, Java, or similar
  • Production experience with Docker, Kubernetes, and modern data streaming (Kafka or similar)
  • Front‑end experience (Angular, React, or similar) and database experience (PostgreSQL, SQL Server, or similar)
  • Demonstrated ability to stay current with rapidly evolving AI technologies and best practices
  • Ability to work under pressure and deliver results across multiple parallel priorities in a fast‑paced, high‑reliability environment
ADDITIONAL REQUIREMENTS:
  • You may be asked to work extended hours/weekends dependent on launch cadence
  • This role requires you to be onsite. Remote and/or hybrid work will not be considered
ITAR REQUIREMENTS:
  • To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Applicants wishing to view a copy of SpaceX’s Aff or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com.

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