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Senior Machine Learning Researcher Jobs in Madison, WI

Senior ML Ops Engineer

Middleton, WI · On-site

$123K - $170K/yr

We are looking for a Senior ML Ops Engineer to be part of revolutionizing these industries. We are ... end-to-end machine learning lifecycle, including model training, deployment, monitoring, and ...

Senior Applied ML Engineer

Middleton, WI · Remote

$125K - $183K/yr

We are looking for a Senior Applied ML Engineer to design, implement, and scale machine learning ... This role blends research, engineering, and domain expertise to deliver practical, production-ready ...

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 ...

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 ...

Senior AI/ML Engineer

Watertown, WI

$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 ...

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 ...

Senior AI/ML Engineer

Watertown, WI

$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 ...

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

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

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 ...

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 ...

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Showing results 1-20

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 Aug 24, 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:

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 Machine Learning Engineer, Computer Vision

Oregon, WI • On-site

Portland Seed Fund
Investment Clubs and Venture Capital Companies • 1 - 10 employees

$150 - $210/hr

Other

Medical, Dental, Retirement, PTO

Posted 6 days ago


Job description

Senior Machine Learning Engineer, Computer Vision at Overwatch Imaging

Overwatch Imaging is an imagery intelligence technology company working to bring sensor autonomy to time-critical airborne search, detection,trackingand monitoring missions. Our Automated Sensor Operator (ASO) software, native to our own line of purpose-built Smart Sensors and as an upgrade for airborne video gimbal platforms, bringsSuperhuman VisionandWorkload Reductionto users of real-time imagery intelligence systems. We fundamentally believe that modern edge processing and AI-enabled autonomy can perform an important set of time-critical imagery intelligence missions better,fasterand moresafely than humans can alone.

Founded in 2016 in Hood River, Oregon, we support private sector companies as well as federal,stateand local agencies around the world with missions ranging from wildfire mapping and disaster response to law enforcement, border security, maritime domainawarenessand tactical intelligence.

About this Role:

Join our dynamic team to build, maintain, and optimize the end-to-end data and model pipelines that power our core Artificial Intelligence systems. This is a hands-on role perfect for an ambitious engineer who is passionate about taking raw data through the entire lifecycle, from scraping and wrangling to production-ready, trained models.
This role is remote-friendly, with a preference for candidates who can spend occasional time onsite in Hood River, OR.

What You’ll Do:
  • MLOps and Training Infrastructure
    • Design and improve training pipelines to support faster, continuous model iteration
    • Enable scalable experimentation across datasets, model architectures, and training strategies
    • Improve reproducibility, experiment tracking, and comparison of training runs
  • Data Pipelines and Dataset Quality
    • Build and refine workflows for:
      • Data indexing, curation, and preprocessing
      • Label quality validation and dataset management
      • Data exploration for targeted labeling
    • Develop evaluation and tests that reflect real-world operating conditions
    • Improve synthetic data workflows to support targeted model improvement
  • Model Development and Experimentation
    • Train, evaluate, and iterate on computer vision models for:
      • Detection, segmentation, classification, tracking
      • Transformer and multi-modal architectures where appropriate
    • Continuously explore and evaluate:
      • new model families and research directions
      • Domain-specific optimizations for aerial imagery, small-object detection
    • Incorporate multi-modal inputs including:
      • Multiple image bands
      • Platform and sensor metadata (range, angles, telemetry, etc.)
  • Edge deployment and Optimization
    • Optimize models for deployment on embedded GPU platforms like Nvidia Jetson
    • Balance accuracy, latency, and resource constraints for real-world, real-time workflows
What You’ll BringCore Experience
  • 5+ years of experience in machine learning, with a focus on computer vision
  • B.S., M.S., or Ph.D. in Computer Science, Engineering, or a related technical field, or equivalent practical experience
  • Hands-on experience building and improving computer vision or perception modelsinproduction or real-world systems, especiallyfor object detection, object tracking
  • Strong understanding of model evaluation, including selecting metrics, building test sets, analyzing false positives/false negatives, and measuring performance over timefor iterative improvement
Technical Skills
  • Experience with PyTorch or Tensorflow
  • Strong understanding of modern computer vision architectures:
    • CNNs, transformers (ViTs), and/or multi-model models
    • OpenCV, NumPy, or similar
  • Experience building training and data pipelines for medium to large scale datasets
  • Strong python skills and solid software engineering fundamentals
Bonus
  • Aerial imagery, geospatial data, or remote sensing
  • Photogrammetry
  • Multi-modal learning systems
  • Familiarity with state estimation and tracking methods (Kalman Filters, DeepSORT, ByteTrack, etc)
  • Experience with performance languages (C++or similar)
What We Offer:
  • Growth Opportunities: As a team member of a true startup, you will learn by doing and shape our future. The opportunities are limitless for those who want to grow their career.
  • Impact Opportunity: We work on missions that matter to keep people safe and make the world better, and we do it without bureaucracy at the speed of a startup.
  • Team Collaboration: Work in a fast-paced, collaborative environment with amazing teammates. The Overwatch Imaging leadership team believes in an open-door policy, meaning everyone has a voice and access to guidance, advice, feedback, and the ability to pitch crazy new products or ideas.
  • Late Start Wednesday: A weekly block to have focus time away from meetings and calls. An opportunity to work from home, flex your schedule or self-directed time to focus on training and development.
  • Time Off: Generous PTO to empower employees to make decisions about work life balance based on work and home needs.
  • Holidays: Overwatch Imaging recognizes 10 company holidays.
  • Ownership: Equity/Stock Options in our rapidly growing company.
  • Health Benefits: Medical/Dental premiums 100% covered by Overwatch Imaging for employees and their families, plus available pre-tax health savings account.
  • 401K: Employer matching contributions up to 4% of pay.

All applicants must be authorized to work on a permanent basis in the United States.

Overwatch Imaging is an equal opportunity workplace and makes employment decisions based on merit and business needs, regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity, Veteran status, or any other protected personal characteristic.

All applicants mustbe authorized towork on a permanent basis in the UnitedStates.

Overwatch Imaging is an equal opportunity workplace and makes employment decisions based on merit and business needs, regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity, Veteran status, or any other protected personal characteristic.

We encourage all qualified candidates to apply, even if they don'tmeet every requirement listed

in this job description. We value diversity of experience and perspectives and are always looking

for talented individuals to join our team.

Export Control Compliance Notice

Export Control Compliance Notice
This position may involve access to data, technology, or software that is subject to U.S. export control laws and regulations, including the International Traffic in Arms Regulations (ITAR) and/​or the Export Administration Regulations (EAR). As such, employment is contingent upon the applicant’s ability to obtain any necessary export authorization, asdeterminedby an export compliance assessment conducted by the company.

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