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Machine Learning Scientist Jobs in Madison, WI (NOW HIRING)

Paradigm

Senior Applied ML Engineer

Middleton, WI · Remote

$125K - $183K/yr

Bachelor's or Master's degree in Computer Science, Machine Learning, or related field. * 5+ years of experience designing and deploying applied ML systems at scale. * Experience with computer vision ...

Wisconsin

Cloud Infrastructure Architect

Madison, WI · Remote

... machine learning, AI-driven research workloads, and high-performance data processing in secure cloud environments. * Collaborates with engineers, data scientists, architects, and research ...

AbbVie

Software Instrumentation Engineer

Madison, WI · On-site

In this role, you'll work alongside talented engineers and scientists to maintain, enhance, and ... Experience with AI-assisted software development and/or machine learning. * Experience with Git and ...

Infleqtion

Sr Software Engineer

Madison, WI · On-site

$106K - $145K/yr

Collaborate with interdisciplinary teams, including scientists, opto-mechanical engineers, and ... Domain-specific experience in statistics, machine learning, or AMO physics * Experience with Numpy ...

Infleqtion

Sr Software Engineer

Madison, WI

$106K - $145K/yr

Collaborate with interdisciplinary teams, including scientists, opto-mechanical engineers, and ... Domain-specific experience in statistics, machine learning, or AMO physics * Experience with Numpy ...

Cardamom Health

Payroll Manager

Madison, WI · On-site

Our team of data scientists, machine learning engineers, revenue cycle professionals, and certified application specialists would love for you to join us. Payroll Manager at Cardamom Hybrid in ...

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Machine Learning Scientist information

What is a Machine Learning Scientist job?

A Machine Learning Scientist researches, develops, and applies machine learning models to solve complex problems. They work on designing algorithms, improving model performance, and analyzing large datasets to extract valuable insights. Their role often involves experimenting with new techniques, optimizing existing models, and collaborating with engineers and data scientists to deploy solutions. Machine Learning Scientists typically have expertise in statistics, mathematics, and programming languages like Python. They work in industries such as healthcare, finance, and technology to drive innovation using artificial intelligence.

What are the typical daily tasks and collaboration opportunities for a Machine Learning Scientist?

A typical day for a Machine Learning Scientist involves collecting and analyzing large datasets, designing and training machine learning models, and evaluating model performance to ensure accuracy and reliability. You'll often collaborate with data engineers, software developers, and domain experts to define project goals, prepare data, and integrate solutions into production systems. Regular team meetings, code reviews, and brainstorming sessions are common, fostering an environment of shared learning and problem-solving. This collaborative structure not only enhances project outcomes but also offers valuable opportunities for continuous professional growth and skill development.

What are the key skills and qualifications needed to thrive in the Machine Learning Scientist position, and why are they important?

To thrive as a Machine Learning Scientist, you need strong skills in mathematics, statistics, programming (typically in Python or R), and a graduate degree in computer science, data science, or a related field. Expertise in machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), proficiency with data processing tools, and experience with cloud platforms (like AWS or GCP) are commonly required; certifications in these can be advantageous. Critical thinking, problem-solving, and effective communication are important soft skills for collaborating with cross-functional teams and conveying complex concepts. These abilities enable Machine Learning Scientists to build effective models, deliver actionable insights, and drive innovation within organizations.

What are the most commonly searched types of Machine Learning Scientist jobs in Madison, WI? The most popular types of Machine Learning Scientist jobs in Madison, WI are:
What are popular job titles related to Machine Learning Scientist jobs in Madison, WI? For Machine Learning Scientist jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Machine Learning Scientist jobs in Madison, WI look for? The top searched job categories for Machine Learning Scientist jobs in Madison, WI are:
Machine Learning Scientist jobs near you
Infographic showing various Machine Learning Scientist job openings in Madison, WI as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 24% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Senior Applied ML Engineer

Paradigm

Middleton, WI • Remote

$125K - $183K/yr

Full-time

Posted 13 days ago

Job description

Paradigm is a software company transforming the way that the residential, construction & building product industries operate across the globe. We are looking for a Senior Applied ML Engineer to be part of revolutionizing these industries.

We are looking for a Senior Applied ML Engineer to design, implement, and scale machine learning systems that power next-generation construction and digital twin solutions. You will apply advanced ML techniques—ranging from computer vision to large language models—to automate critical workflows such as blueprint understanding, 3D model generation, and materials forecasting. This role blends research, engineering, and domain expertise to deliver practical, production-ready AI systems that transform how homes are designed, estimated, and built.

What You Will Do:

  • Develop and optimize CNN and LLM-powered models for computer vision, document extraction, and automated construction workflows.

  • Prototype, fine-tune, and assess models for NLP tasks such as classification, entity recognition, and summarization of construction data.

  • Build scalable ML pipelines and backend services that integrate into production-grade agents and digital platforms.

  • Drive the end-to-end ML lifecycle: from experimentation and training, to deployment, monitoring, and continuous improvement.

  • Integrate retrieval, ML, and rules-based methods to deliver reliable, explainable, and supportable features.

  • Collaborate closely with product managers, software engineers, and construction domain experts to solve real-world challenges with measurable business impact.

What You Need to Succeed:

  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, or related field.

  • 5+ years of experience designing and deploying applied ML systems at scale.

  • Experience with computer vision (CNNs, object detection, segmentation) and natural language processing (LLMs, embeddings, transformers).

  • Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).

  • Experience with ML Ops platforms and deploying ML systems into production (MLflow, Kubeflow or equivalent).

  • Experience with APIs, CI/CD pipelines, cloud platforms (AWS/Azure/GCP).

  • Ability to clearly communicate technical concepts to both engineers and non-technical stakeholders.

  • Experience applying ML in construction, CAD/BIM, architecture, or digital twin platforms is preferred.

  • Familiarity with graph-based retrieval, RAG pipelines, or multimodal ML is preferred.

Ready to Join? Apply now at myparadigm.com/careers/

Compensation Range: $125,250 - $183,700