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Senior Machine Learning Researcher Jobs in Madison, WI

AgSource

Senior AI/ML Engineer

Watertown, WI · On-site +1

$99K - $136K/yr

We are seeking a Senior AI/ML Engineer to lead the building of scalable real-time production-grade ... research through machine learning to modern generative AI, choosing the simplest tool that solves ...

Urus Group LP

Senior AI/ML Engineer

Watertown, WI · On-site +1

$99K - $136K/yr

We are seeking a Senior AI/ML Engineer to lead the building of scalable real-time production-grade ... research through machine learning to modern generative AI, choosing the simplest tool that solves ...

AgSource

Senior AI/ML Engineer

Watertown, WI · On-site

$99K - $136K/yr

We are seeking a Senior AI/ML Engineer to lead the building of scalable real-time production-grade ... research through machine learning to modern generative AI, choosing the simplest tool that solves ...

Farm Systems

Senior AI/ML Engineer

Watertown, WI · On-site

$99K - $136K/yr

We are seeking a Senior AI/ML Engineer to lead the building of scalable real-time production-grade ... research through machine learning to modern generative AI, choosing the simplest tool that solves ...

Urus

Senior AI/ML Engineer

Watertown, WI · On-site

$99K - $136K/yr

We are seeking a Senior AI/ML Engineer to lead the building of scalable real-time production-grade ... research through machine learning to modern generative AI, choosing the simplest tool that solves ...

Elephas

Senior Data Scientist

Madison, WI · On-site

Develop and apply advanced statistical, machine learning, and computational methods to biological ... Provide input to biomedical research scientist presentations and publications regarding rigorous ...

Elephas

Senior Data Scientist

Madison, WI · On-site

Develop and apply advanced statistical, machine learning, and computational methods to biological ... Provide input to biomedical research scientist presentations and publications regarding rigorous ...

Elephas

Senior Data Scientist

Madison, WI · On-site

$120 - $170/hr

Develop and apply advanced statistical, machine learning, and computational methods to biological ... Provide input to biomedical research scientist presentations and publications regarding rigorous ...

Abbott Laboratories

Sr. Engineer, AI Platform

Madison, WI · On-site

$99 - $199/hr

This role demands expertise in Machine Learning, Natural Language Processing, and emerging ... Stay updated on advancements in AI research and technology to guide initiatives. * Foster a culture ...

The Weather Channel

Senior Data Scientist

Madison, WI · On-site

Are you interested in applying machine learning or data mining on problems that truly improve ... Research, recommend, and implement statistical post process correction techniques using proprietary ...

Abbott

Sr. Engineer, AI Platform

Madison, WI · On-site

$99K - $198K/yr

This role demands expertise in Machine Learning, Natural Language Processing, and emerging ... Stay updated on advancements in AI research and technology to guide initiatives. * Foster a culture ...

Abbott

Sr. Engineer, AI Platform

Madison, WI · On-site

$99K - $198K/yr

This role demands expertise in Machine Learning, Natural Language Processing, and emerging ... Stay updated on advancements in AI research and technology to guide initiatives. * Foster a culture ...

Abbott

Sr. Engineer, AI Platform

Madison, WI · On-site

$99K - $198K/yr

This role demands expertise in Machine Learning, Natural Language Processing, and emerging ... Stay updated on advancements in AI research and technology to guide initiatives. * Foster a culture ...

Abbott

Sr. Engineer, AI Platform

Madison, WI · On-site

$99K - $198K/yr

This role demands expertise in Machine Learning, Natural Language Processing, and emerging ... Stay updated on advancements in AI research and technology to guide initiatives. * Foster a culture ...

Abbott

Sr. Engineer, AI Platform

Madison, WI · On-site

$99K - $198K/yr

This role demands expertise in Machine Learning, Natural Language Processing, and emerging ... Stay updated on advancements in AI research and technology to guide initiatives. * Foster a culture ...

Springs Window Fashions

Senior AI Engineer

Middleton, WI · On-site

$107K - $147K/yr

Position Summary This is an engineering role, not a research role. The Sr AI Engineer is a hands-on ... Design, build, ship, and own enterprise AI and machine learning solutions in production. * Build ...

Springs Window Fashions

Senior AI Engineer

Middleton, WI · On-site

$107K - $147K/yr

Position Summary This is an engineering role, not a research role. The Sr AI Engineer is a hands-on ... Design, build, ship, and own enterprise AI and machine learning solutions in production. * Build ...

Springs Window Fashions

Senior AI Engineer

Middleton, WI · On-site

$107K - $147K/yr

Position Summary This is an engineering role, not a research role. The Sr AI Engineer is a hands-on ... Design, build, ship, and own enterprise AI and machine learning solutions in production. * Build ...

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Showing results 21-40

All JobsMachine Learning Researcher JobsSenior Machine Learning Researcher JobsSenior Machine Learning Researcher Jobs in Madison, WI

Senior Machine Learning Researcher information

See Madison, WI salary details

$28.7K

$77.2K

$138.6K

How much do senior machine learning researcher jobs pay per year?

As of Sep 4, 2026, the average yearly pay for senior machine learning researcher in Madison, WI is $77,191.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,400.00 and $99,300.00 per year, depending on experience, location, and employer.

What does a senior machine learning researcher do?

A Senior Machine Learning Researcher leads the development and application of advanced machine learning models to solve complex problems. They are responsible for designing experiments, analyzing large datasets, publishing research findings, and collaborating with engineering teams to implement solutions. Additionally, they mentor junior researchers, stay updated with the latest advancements in AI, and often contribute to setting the research agenda for their organization.

What are the key skills and qualifications needed to thrive as a senior machine learning researcher, and why are they important?

To thrive as a Senior Machine Learning Researcher, you need advanced knowledge in machine learning algorithms, statistical analysis, programming (typically in Python), and a relevant advanced degree such as a PhD or Master's in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, as well as familiarity with cloud computing platforms and research publication, is often required. Strong problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and present complex ideas clearly. These skills and qualities are essential for driving innovation, developing robust models, and translating research into practical, impactful solutions.

What opportunities for collaboration typically exist for senior machine learning researchers within a company?

Senior Machine Learning Researchers frequently collaborate with cross-functional teams, including data engineers, software developers, and domain experts. This collaboration ensures that research insights are effectively translated into scalable solutions and integrated into products or services. Researchers often participate in brainstorming sessions, code reviews, and joint publications, fostering a culture of innovation and shared knowledge. These interactions not only drive the success of projects but also provide valuable learning experiences and networking opportunities.

What is the difference between Senior Machine Learning Researcher vs Data Scientist?

AspectSenior Machine Learning ResearcherData Scientist
CredentialsAdvanced degrees in CS, ML, or related fieldsDegree in CS, statistics, or related fields; certifications optional
Work EnvironmentResearch labs, R&D teams, academiaBusiness analytics, product teams, startups
Industry UsageResearch-focused roles in tech, academia, R&DData analysis, business insights, product development
Search & Comparison IntentUnderstanding research vs applied roles in MLExploring data analysis careers and skills

While both roles involve working with data and machine learning, a Senior Machine Learning Researcher primarily focuses on developing new algorithms and advancing ML theory in research settings. In contrast, a Data Scientist applies existing models to analyze data, generate insights, and support business decisions. The roles differ mainly in their focus—research innovation versus practical application—though they share overlapping skills and credentials.

What are popular job titles related to Senior Machine Learning Researcher jobs in Madison, WI?

For Senior Machine Learning Researcher jobs in Madison, WI, the most frequently searched job titles are:

What job categories do people searching Senior Machine Learning Researcher jobs in Madison, WI look for?

The top searched job categories for Senior Machine Learning Researcher jobs in Madison, WI are:

What cities near Madison, WI are hiring for Senior Machine Learning Researcher jobs?

Cities near Madison, WI with the most Senior Machine Learning Researcher job openings:

Senior Machine Learning Researcher jobs near you
Infographic showing various Senior Machine Learning Researcher job openings in Madison, WI as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $77,191 per year, or $37.1 per hour.

Senior AI/ML Engineer

AgSource

Watertown, WI • On-site, Remote

$99K - $136K/yr

Full-time

Posted 24 days ago

Key responsibilities

  • Lead the building of scalable real-time production-grade AI/ML applications that provide actionable intelligence on dairy farms.

  • Identify opportunities to apply AI for efficiency, growth, and customer value, and demonstrate how AI can address customer needs.

  • Establish AI governance frameworks, track AI adoption through KPIs, and communicate the impact of AI initiatives.

Job description


Turn decades of data into intelligence that helps feed the world.
VAS is the Operating System of the modern dairy with decades of longitudinal data for the most productive cows in the world. We hold a dominant US market position, and an expanding global reach.
We are seeking a Senior AI/ML Engineer to lead the building of scalable real-time production-grade applications that use AI/ML models to drive actionable intelligence on dairy farms. This is a strategic, hands-on position for an experienced technical leader who has a track record of shipping AI-enhanced customer applications and tooling used by engineering teams.
Our highly customizable on-farm systems give dairy owners unmatched flexibility in how they run their business. The right candidate sees that as a data challenge, where others will see it as an unsolvable mess.
RESPONSIBILITIES
AI Enablement
  • Understand customer challenges and how integrating AI capabilities can help lead to solutions that have AI as a differentiator.
  • Identify opportunities to apply AI for efficiency, growth, and customer value
  • Drive awareness of AI capabilities and demonstrate how it can address customer needs, improve efficiency, reduce costs, and drive growth
  • Drive transformation from AI-Ad Hoc to AI-Native engineering practices
  • Serve as an AI technical SME, conduct R&D to meet the needs of our AI strategy
  • Continuously assess emerging AI tools and make data-driven recommendations
  • Measure & Accelerate Adoption: Establish KPIs, track progress from the current to 100% adoption, implement interventions to accelerate uptake and communicate impact
  • Build Center of Excellence: Create forums for knowledge sharing, celebrate wins, and foster peer-to-peer learning
  • Cross-functional communication, explaining technical tradeoffs to product, dairy science, and engineering leadership in plain language.
  • Working with other enterprise stakeholders, establish AI governance frameworks and guardrails covering compliance, security, privacy, and ethical AI practices, and embed them into development workflows

Core AI Engineering Skills
  • 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-wrangling skill with messy, distributed, legacy enterprise data sources, including inconsistent schemas and incomplete records.
  • Feature-engineering and data preprocessing for both structured farm data and unstructured sources.
  • Model selection and evaluation, knowing when linear regression, optimization, or a lookup table beats a neural network.
  • Production deployment experience, shipping models into real time applications rather than notebooks.
  • Cloud AI infrastructure fluency, specifically Databricks and AWS.
  • Experiment design and statistical rigor, being able to prove a model or method actually improves outcomes.
  • Translating ambiguous business or technical requirements into working systems.
  • Agentic and MCP experience

Evaluation, Testing & Observability
  • Build unit and behavioral tests for agents, tools, and workflows.
  • Develop tooling for trace analysis, agent state debugging, and hallucination tracking.
  • Compare and benchmark agent orchestration frameworks for trade-offs in speed, reliability, and usability.

Model Fine-Tuning & MLOps
  • Integrate, deploy, fine tune and monitor models in production using cloud providers.
  • Set up agent logging, observability dashboards, and recovery workflows.

Front-end & User Experience
  • Collaborate with front-end developers or build user-facing components using React, TypeScript.
  • Ensure seamless user and agent interaction via UI and API bridges.

EDUCATION & EXPERIENCE
Your background might include software engineering, data engineering, data science, machine learning engineering or AI engineering. What matters most is demonstrated technical depth and a track record of building and deploying AI/ML solutions in production.
  • Significant hands-on experience designing, building and deploying production AI/ML solutions.
  • Strong experience working with complex data, including distributed systems, inconsistent schemas and incomplete or legacy datasets.
  • Experience with feature engineering, model selection, experimentation and evaluation.
  • Strong understanding of descriptive, predictive, prescriptive and generative AI approaches.
  • Experience selecting and applying techniques across statistics, operations research, machine learning and deep learning.
  • Demonstrated experience taking models from experimentation through production deployment and monitoring.
  • Experience with deep learning frameworks and cloud-based AI services.
  • Experience with AWS and/or Databricks.
  • Experience or exposure to agentic architectures, MCP and AI orchestration frameworks.
  • Strong software engineering fundamentals and experience building scalable, production-quality systems.
  • Ability to translate ambiguous requirements into working solutions and clearly communicate technical decisions and tradeoffs.
  • Bachelor's degree in Software Engineering, Computer Science, Data Science, AI/ML or a related field preferred.

About Us
For the past 40 years we've woken up each day to support those that never stop feeding the world - and we have no plans to quit. We set the standard for farm management solutions and fix our eyes on raising the bar to meet the next generation of expectations.
Our software and information solutions help collect and connect a farm's data - from herd management to feed performance, tracking and more. These insights are a source of truth, empowering producers and their trusted advisors to make profit-driven and sustainable management decisions.
Whether near or far, large or small, VAS is at the heart of your dairy.
VAS has deep roots in the industry through its origin within the URUS family of companies. As a holding company with cooperative and private ownership, URUS is a family of businesses at the heart of the dairy and beef industry - Alta Genetics, GENEX, Genetics Australia, Leachman Cattle, Jetstream, PEAK, SCCL, Trans Ova Genetics and VAS. Each organization has its unique identity, products, and services. These companies work globally to provide cutting-edge dairy and beef genetics, customized reproductive services to maximize conceptions, dairy management information to take producers to the frontline of progressive dairy farming, and an array of products and services to help bovines reach their full genetic potential. URUS has 9 brands in 17 retail countries and employs nearly 2,800 people globally.

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