1

Generative Ai Researcher Jobs in Wisconsin (NOW HIRING)

WI ยท On-site

$95 - $135/hr

Develop and optimize Generative AI and Large Language Model (LLM) applications. * Collaborate with ... Conduct research on emerging AI technologies and frameworks. * Create technical documentation and ...

Senior AI Engineer

Middleton, WI ยท On-site

$107K - $147K/yr

Position Summary This is an engineering role, not a research role. The Sr AI Engineer is a hands-on ... Build and operationalize generative AI applications using large language models (LLMs), retrieval ...

Senior AI Engineer

Middleton, WI

$107K - $147K/yr

Position Summary This is an engineering role, not a research role. The Sr AI Engineer is a hands-on ... Build and operationalize generative AI applications using large language models (LLMs), retrieval ...

Senior AI Engineer

Middleton, WI ยท On-site

$107K - $147K/yr

Position Summary This is an engineering role, not a research role. The Sr AI Engineer is a hands-on ... Build and operationalize generative AI applications using large language models (LLMs), retrieval ...

Senior AI Engineer (Breakthrough)

Green Bay, WI ยท On-site

$101K - $139K/yr

We are seeking a talented and experienced senior level engineer with a background in generative AI ... This is not a research role. We ship. But the people who thrive here think deeply about how agents ...

WI ยท On-site

$142 - $213/hr

Leads the ongoing vision and implementation of the Quality Management System (QMS) -- spanning consumer, research, and medical device (SaMD) quality, including AI/ML-enabled and generative AI ...

WI ยท On-site

$150 - $210/hr

Design and deploy AI, Machine Learning, Generative AI, and Agentic AI solutions. * Build scalable ... Bachelor's or Master's degree in Computer Science, AI, Data Science, Operations Research ...

Senior AI/ML Engineer

Watertown, WI

$99K - $136K/yr

Comfort across the full method spectrum, from classical statistics and operations research through machine learning to modern generative AI, choosing the simplest tool that solves the problem. * Data ...

next page

Showing results 1-20

Generative Ai Researcher information

What does a generative AI researcher do?

A Generative AI Researcher studies and develops artificial intelligence models that can create new content such as text, images, music, or code. They work on advancing algorithms like generative adversarial networks (GANs), variational autoencoders (VAEs), and large language models to improve their performance and applications. Their work often involves designing experiments, analyzing data, publishing research, and collaborating with other scientists and engineers to push the boundaries of AI creativity and utility.

What are some common challenges generative AI researchers face when transitioning models from research to production environments?

Generative AI Researchers often encounter challenges when moving models from experimental research settings into real-world production. These challenges include ensuring models are robust to diverse, unseen data, optimizing for computational efficiency, and addressing potential biases or ethical concerns present in generated outputs. Collaboration with engineering teams is key to deploying scalable solutions, while ongoing monitoring is necessary to maintain model performance and compliance. Researchers should be prepared to iterate on their models post-deployment based on feedback and real-world results.

What are the key skills and qualifications needed to thrive as a generative AI researcher, and why are they important?

To thrive as a Generative AI Researcher, you need a strong background in computer science, mathematics, and machine learning, typically supported by an advanced degree (Master's or PhD) in a relevant field. Proficiency in programming languages such as Python, experience with deep learning frameworks like TensorFlow or PyTorch, and familiarity with research tools and publication processes are essential. Creative problem-solving, critical thinking, and effective collaboration skills help researchers innovate and communicate complex ideas. These skills and qualities are crucial for advancing AI technologies, publishing impactful research, and driving progress in this rapidly evolving field.

What is the difference between Generative Ai Researcher vs Machine Learning Engineer?

AspectGenerative Ai ResearcherMachine Learning Engineer
CredentialsAdvanced degrees in AI, Computer Science, or related fields; research experienceDegree in Computer Science, Data Science, or related fields; coding skills
Work EnvironmentResearch labs, academia, R&D departmentsTech companies, startups, product teams
Industry UsageFocus on developing generative models like GANs, VAEs, transformersImplementing ML models for various applications, including generative tasks

While both roles involve AI and machine learning, Generative Ai Researchers primarily focus on developing new generative models and advancing AI research, often working in academic or research settings. Machine Learning Engineers typically implement and deploy ML models in production environments across industries. The roles overlap in skills and tools but differ in their core focus and work environment.

What are popular job titles related to Generative Ai Researcher jobs in Wisconsin?

For Generative Ai Researcher jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Generative Ai Researcher jobs in Wisconsin look for?

The top searched job categories for Generative Ai Researcher jobs in Wisconsin are:

Senior Software Engineer - Generative AI

Acuity Insurance

Sheboygan, WI โ€ข On-site

$132K - $167K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago


Job description

Acuity is seeking a Senior Software Engineer to design, build, and maintain production-ready Generative AI capabilities within existing applications and platforms. This role emphasizes delivering secure, scalable, and user-focused AI solutions using managed services and APIs, collaborating closely with engineers, architects, and business partners to deliver reliable, enterprise-aligned functionality. You will also troubleshoot production issues, refine AI orchestration logic, contribute technical guidance on AI platforms and access approaches, and mentor team members to support best practices, learning, and technical excellence.
ย 
Acuity will include at least one in-person interview during the hiring process for all positions.
ย 
ESSENTIAL FUNCTIONS:
  • Partner with business analysts, engineers, and stakeholders to understand business challenges and design strong AI solutions, including LLM based and agentic systems.
  • Demonstrate professionalism and integrity while serving as a role model for engineers and promoting a culture of excellence and curiosity.
  • Lead planning and scoping of AI projects, providing input on timelines, model selection, infrastructure, and deliverables.
  • Develop and enhance AI applications including RAG pipelines, model evaluation frameworks, and agent orchestrations.
  • Write clean, scalable, and maintainable code that supports high performing AI systems and meets reliability expectations.
  • Demonstrate expert understanding of data ecosystems and how they support AI workflows including data vectorization, retrieval, and context routing.
  • Perform testing, debugging, and output validation to ensure AI responses are accurate, safe, and aligned with business logic.
  • Produce and maintain clear technical documentation including integration specs, system diagrams, integration guides, and operational runbooks.
  • Identify and correct inefficiencies in code, architecture, prompts, data flows, and model parameter tuning.
  • Mentor other engineers in AI best practices, model behavior, prompt design, and responsible AI principles.
  • Perform code reviews and provide recommendations for accuracy, performance, and adherence to AI safety guidelines.
  • Direct and manage AI projects from initiation through delivery including model selection, benchmarking, deployment, and monitoring.
  • Identify and develop solutions for highly complex AI integration challenges like prompt chaining, retrieval design, agent coordination, and enterprise scale integrations.
  • Understand the architecture of the applications and AI systems you contribute to and ensure new development aligns with strategic patterns.
  • Stay current with AI industry trends/tooling and best practices including breakthroughs in LLMs, agents, and model safety.
  • Participate in regular attendance and complete mandatory training programs as assigned by Acuity.
  • Perform other duties as assigned.

EDUCATION:

Bachelorโ€™s degree or equivalent combination of education and experience in software engineering, computer science, or related field.

EXPERIENCE:

A software engineer with 5 or more years of experience in software engineering, including experience integrating AI capabilities into production applications using external services or APIs.

    OTHER QUALIFICATIONS:ย 

    • Expertise across a wide range of tools and technologies, including.
      • Programming languages such as Java, Python, and JavaScript.
      • Relational and non-relational databases including Db2, PostgreSQL, SQL Server, and vector databases.
      • Familiarity with web UI frameworks such as Vue, React, or Angular.
      • Knowledge of software development workflows, CI/CD pipelines and version control tools.
      • AI and Gen AI technologies including LLMs, Retrieval-Augmented Generation (RAG), standardized model connection protocols, agent frameworks, and prompt engineering.
      • Experience with AI Orchestration frameworks, like LangChain, to connect LLMs to data.
      • Familiarity with AI Observability tools to monitor and debug AI responses.
      • Understanding API Management, including rate limiting, latency, and token cost optimization.
      • Experience with cloud platforms including Azure, IBM, GCP, or AWS for AI services.
    • Ability to analyze user requirements, define technical specifications, estimate work, and deliver high quality solutions.
    • Strong analytical thinking with the ability to break down complex problems and apply practical AI driven approaches.
    • Strong communication skills and ability to work with cross functional teams.
    • Excellence in documentation, testing practices, and operational reliability.
    • Ability to stay current with AI advancements, LLM research, and evolving best practices.
    • Passion for building reliable, safe, and impactful Generative AI systems.

        *Acuity does not sponsor applicants for U.S. work authorization.*

        This job is classified as exempt.

        The salary range for this position is $132,800 - $167,800 annually. This salary range is an estimate and the actual salary will vary based on applicantโ€™s education, experience, knowledge, skills, and abilities.

        For this role, Acuity offers a comprehensive benefits package, including a generous 401(k) contribution, medical, dental, vision, life and disability insurance, paid time off, an Employee Assistance Program, and more. A full description of benefits and eligibility will be provided to candidates during the hiring process.ย 

        We are an Equal Employment Opportunity employer. Applicants and employees are considered for positions and are evaluated without regard to mental or physical disability, race, color, religion, gender, national origin, age, genetic information, military or veteran status, sexual orientation, marital status or any other protected Federal, State/Province or Local status unrelated to the performance of the work involved.ย 

        Acuity will include at least one in-person interview during the hiring process for all positions.ย 

        If you have a disability and require reasonable accommodations to apply or during the interview process, including for in-person interviews, please contact our Talent Acquisition team at careers@acuity.com. Acuity is dedicated to offering reasonable accommodations during our recruitment process for qualified individuals.