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Senior Machine Learning Researcher Jobs in Wisconsin

WI · On-site

$140 - $200/hr

JOB TITLE Sr. Machine Learning Engineer LOCATION Coppell, TX (Hybrid role, may work from home) WE ... Conduct research and experimentation with new and emerging AI tech and staying up to date. * Build ...

New

$107K - $139K/yr

United States East Coast Position Overview As a Senior Machine Learning Test Engineer in the Research Enablement team, you will work side-by-side with researchers, Machine Learning developers and ...

$118K - $153K/yr

United States East Coast Position Overview As a Senior Machine Learning Test Engineer in the Research Enablement team, you will work side-by-side with researchers, Machine Learning developers and ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... research or equivalent self study and experience * Have strong programming skills in Python and ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... research or equivalent self study and experience * Have strong programming skills in Python and ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... research or equivalent self study and experience * Have strong programming skills in Python and ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... research or equivalent self study and experience * Have strong programming skills in Python and ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... research or equivalent self study and experience * Have strong programming skills in Python and ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... research or equivalent self study and experience * Have strong programming skills in Python and ...

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Senior Machine Learning Researcher information

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 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 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 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 are popular job titles related to Senior Machine Learning Researcher jobs in Wisconsin? For Senior Machine Learning Researcher jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for Senior Machine Learning Researcher jobs? Cities in Wisconsin with the most Senior Machine Learning Researcher job openings:
Infographic showing various Senior Machine Learning Researcher job openings in Wisconsin as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 2% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

$140 - $200/hr

Other

Medical, Dental, Vision, Retirement

Posted 2 days ago

New


PVH Corp. rating

6.3

Company rating: 6.3 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


Job description

JOB TITLE

Sr. Machine Learning Engineer

LOCATION

Coppell, TX (Hybrid role, may work from home)

WE CARE ABOUT WELLBEING

At Blue Yonder, we care about the wellbeing of our employees and those most important to them.

DUTIES
  • Design, develop, and deploy high-quality, scalable, and maintainable software systems leveraging AI models (e.g., Large Language Models, Diffusion Models, Forecasting Models etc.).
  • Identify and explore novel applications of AI within our products and services.
  • Conduct research and experimentation with new and emerging AI tech and staying up to date.
  • Build and operate innovative forecasting solutions.
  • Continuously learn and adapt to the rapidly evolving field of Generative AI.
  • Conduct thorough research and experimentation with the latest advancements in Generative AI, including model architectures, training techniques, and evaluation methods.
  • Write clean, well-documented, and testable code, adhering to best practices and engineering principles.
  • Actively participate in code reviews and provide constructive feedback to fellow engineers.
  • Mentor junior engineers and foster a culture of learning and growth within the team.
  • Collaborate effectively with cross-functional teams, including researchers, product managers, and designers.
  • Contribute to the definition of technical roadmaps and architectural decisions.
  • Identify and mitigate technical risks and propose solutions to complex engineering challenges.
  • Lead and mentor junior engineers, fostering a culture of learning and growth within the team.
  • Actively participate in knowledge sharing and contribute to the broader AI community.
REQUIREMENTS
  • Bachelor's or foreign equivalent degree in Computer Science, Electronic Engineering, Information Technology and Communications Engineering, or a related field, and 5 years of progressive, post-baccalaureate experience in the job offered or as a Software Engineer, AI Engineer, Data Scientist, Machine Learning Engineer, or a related/similar position.
  • 5 years in designing and deploying enterprise-level machine learning systems.
  • 5 years in Python.
  • 3 years with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
  • 3 years in applying machine learning algorithms in areas such as Natural Language Processing (NLP) or Forecasting.
  • 2 years in building and deploying machine learning models using web frameworks like FastAPI or Django.
  • 1 year in leveraging Generative AI, including Large Language Models (LLMs), for various automation and agentic use cases.
  • Hybrid role, ability to work from home.
SALARY

The salary range information provided, reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual salary will be commensurate with skills, experience, certifications or licenses and other relevant factors. In addition, this role will be eligible to participate in either the annual performance bonus or commission program, determined by the nature of the position.

BENEFITS

This is reflected in our robust benefits package and options that includes:

  • Comprehensive Medical, Dental and Vision
  • 401K with Matching
  • Flexible Time Off
  • Corporate Fitness Program
  • A variety of voluntary benefits such as; Legal Plans, Accident and Hospital Indemnity, Pet Insurance and much more
OUR VALUES

At Blue Yonder, we are committed to a workplace that genuinely fosters inclusion and belonging in which everyone can share their unique voices and talents in a safe space. We continue to be guided by our core values and are proud of our diverse culture as an equal opportunity employer. We understand that your career search may look different than others, and embrace the professional, personal, educational, and volunteer opportunities through which people gain experience.

CORE VALUES

If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success - and the success of our customers. Does your heart beat like ours? Find out here: Core Values

EEO STATEMENT

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

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