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Remote Embedded Machine Learning Jobs in Wisconsin

Hybrid - ca. 50 % vor Ort in Wien, ca. 50 % remote Projektsprache: Deutsch und Englisch Aufgaben: ... Microsoft Foundry, Azure Cognitive Services, Azure Machine Learning Erfahrung in der Entwicklung ...

Using AI and machine learning, our software analyzes billions of data points collected from sensors ... Remote and flexible schedule - we are a remote company with hybrid options and support for flexible ...

Remote (WI or MN based candidates preferred) REPORTS TO: Quality Systems Manager DEPARTMENT ... Analyze defect trends using tools like AI, machine learning, and statistical modeling to catch ...

New

Remote (WI or MN based candidates preferred) REPORTS TO: Quality Systems Manager DEPARTMENT ... Analyze defect trends using tools like AI, machine learning, and statistical modeling to catch ...

New

$171K - $210K/yr

Data Engineering, Data Science or Machine Learning * Operations, Security and Data Governance ... Employee Resource Groups EEO/VEVRAA #LI-MH2 #LI-Remote

Data Scientist II

Madison, WI · On-site +1

$80K/yr

It is anticipated that this position will be remote and requires work be performed at an offsite ... machine learning, and data mining Department: School of Medicine and Public Health, Office of ...

Data Scientist II

Madison, WI · On-site +1

$80K/yr

It is anticipated that this position will be remote and requires work be performed at an offsite ... analysis, machine learning, and data mining * Organizes and automates project steps for data ...

Using AI and machine learning, our software analyzes billions of data points collected from sensors ... Communication: Ability to communicate in a remote environment that strives to be diverse and ...

New

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Remote Embedded Machine Learning information

What are the key skills and qualifications needed to thrive as a Remote Embedded Machine Learning Engineer, and why are they important?

To thrive as a Remote Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer science, electrical engineering, or related fields. Familiarity with microcontrollers, edge AI frameworks (such as TensorFlow Lite or Edge Impulse), and version control systems is typically required. Strong problem-solving skills, effective communication, and self-motivation are essential soft skills for collaborating remotely and troubleshooting complex issues. These skills ensure successful deployment of intelligent solutions on resource-constrained devices and effective teamwork in distributed environments.

What is a Remote Embedded Machine Learning Engineer?

A Remote Embedded Machine Learning Engineer is a professional who develops and deploys machine learning models on embedded systems like microcontrollers, IoT devices, and edge hardware, all while working remotely. Their work involves optimizing algorithms to run efficiently on devices with limited computing power, memory, and battery life. These engineers typically use frameworks such as TensorFlow Lite or TinyML to design intelligent features that operate directly on hardware, enabling real-time decision-making without relying heavily on cloud connectivity. They collaborate with cross-functional teams and often troubleshoot both software and hardware issues from a remote location.

What is the difference between Remote Embedded Machine Learning vs Remote Data Scientist?

AspectRemote Embedded Machine LearningRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; experience with embedded systems and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and ML algorithms
Work EnvironmentEmbedded hardware devices, IoT systems, real-time processing environmentsCloud platforms, data analysis labs, remote offices
Employer & Industry UsageTech companies, IoT device manufacturers, automotive, roboticsFinance, healthcare, marketing, tech firms

Remote Embedded Machine Learning specialists focus on integrating ML models into embedded hardware for real-time applications, often working with IoT and robotics. In contrast, Remote Data Scientists analyze large datasets to extract insights, primarily working in cloud or office environments. Both roles require strong analytical skills but differ in technical focus and work settings.

What are some common challenges faced by Remote Embedded Machine Learning Engineers, and how can they be addressed?

Remote Embedded Machine Learning Engineers often encounter challenges related to hardware access, debugging embedded devices remotely, and collaborating with cross-functional teams across time zones. To address these, it's important to set up robust remote development environments, use simulation tools when physical hardware isn't available, and establish clear communication channels for effective teamwork. Regular virtual meetings and detailed documentation also help ensure alignment and smooth progress, despite the remote nature of the work.
What are the most commonly searched types of Embedded Machine Learning jobs in Wisconsin? The most popular types of Embedded Machine Learning jobs in Wisconsin are:
What cities in Wisconsin are hiring for Remote Embedded Machine Learning jobs? Cities in Wisconsin with the most Remote Embedded Machine Learning job openings:
Clinical Content- Physician (Clinical AI Strategist - UpToDate, M.D.)

Clinical Content- Physician (Clinical AI Strategist - UpToDate, M.D.)

Wolters Kluwer

Madison, WI • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Wolters Kluwer rating

8.9

Company rating: 8.9 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

34th of 209 rated software companies


Job description

LOCATION: U.S. locations - remote/hybrid (8 days a month in the office). Candidates within commuting distance of a Wolters Kluwer office will be considered for hybrid employment (within 50 miles of an office). Candidates not within commuting distances will be considered for remote employment. Please see eligible locations on the posting.

OVERVIEW

Wolters Kluwer, UpToDate and Lexidrug is seeking experienced clinicians to join our team as Clinical Artificial Intelligence (AI) Strategists. This role is central to advancing the clinical reasoning framework that underpins our next generation of trustworthy, clinically intelligent AI systems. You will work cross-functionally to evolve and operationalize this framework across AI architecture, system validation, and clinical workflows, ensuring outputs remain clinically sound and faithful to our trusted content.

You will help shape the future of clinical decision support by combining deep expertise in clinical reasoning with strong technical fluency and communication skills. Working across Clinical AI, Product, Engineering, Editorial, and Design, you will translate clinical thinking into scalable AI capabilities that meaningfully support patient care.

RESPONSIBILITIES

Clinical AI Strategy & Development (80%-100%)

  • Serve as the clinical lead on our clinical reasoning framework, guiding its continued advancement and application across AI initiatives.
  • Partner with Product, Engineering, Editorial, and AI teams to translate clinical reasoning into scalable AI system capabilities.
  • Define and maintain clinical indices, decision pathways, reasoning frameworks, and evaluation approaches that reflect real-world clinical decision making across specialties.
  • Contribute to clinical validation platform development, including development of clinical test sets, reasoning benchmarks, red teaming protocols, safety evaluations, and ongoing expert review to ensure outputs remain clinically faithful, useful, and meaningful.
  • Translate clinician and customer feedback into improvements in AI system behavior and the continued evolution of the clinical reasoning framework.
  • Serve as a clinical liaison between the Clinical AI team and traditional editorial operations, helping align clinical standards, workflows, and content strategy.
  • Communicate effectively across clinical, technical, and business teams, translating complex clinical concepts into practical system requirements and technical concepts into clinically meaningful guidance.
  • Represent Wolters Kluwer externally through white papers, conference presentations, and thought leadership.

Clinical Practice (optional - up to 20%)

Clinicians may allocate time to maintain active clinical practice, ensuring continued relevance and real-world insight; existing clinical stipend for physician editors will continue to apply.

QUALIFICATIONS

Education

  • MD, DO, PharmD, Advanced Practice Provider, or equivalent clinical degree: M.D. strongly preferred

Experience

  • Minimum 5 years of clinical practice, with demonstrated depth in patient care and breadth across domains such as hospital administration, patient safety, quality improvement, clinical research, medical education, clinical informatics, or publishing.
  • Demonstrated expertise in clinical reasoning as a discipline, including diagnostic reasoning, therapeutic decision making, uncertainty management, and evidence-based clinical decision making, as evidenced by teaching, publication, research, curriculum development, or related scholarly work.
  • Active clinical practice preferred; board certification preferred.
  • Valid medical license in at least one U.S. state preferred.
  • Strong understanding of modern AI technologies, including generative AI and large language models, with the ability to apply clinical expertise to AI development and evaluation. Experience with AI, informatics, machine learning, or digital health innovation is strongly preferred.
  • Excellent written, verbal, and technical communication skills, with the ability to translate clinical reasoning into system logic and communicate effectively with both clinical and technical audiences.
  • Experience working across agile, cross-functional environments, with the ability to build alignment and strong partnerships across clinical, engineering, product, and editorial teams.
  • Comfort with ambiguity and rapid iteration; ability to adapt quickly as AI technologies and organizational priorities evolve.
  • Strategic mindset with the ability to contribute to Clinical AI strategy and influence the evolution of clinical AI capabilities.
  • Leadership experience guiding complex initiatives or multidisciplinary teams is strongly preferred.
  • Experience supporting senior leaders through strategic analysis, written briefings, and cross-functional initiatives is preferred.

TRAVEL: Approximately one week every six weeks for team meetings and collaborative planning.

#LI-Remote

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Compensation:

$173,500.00 - $310,000.00 USDThis role is eligible for Bonus.

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Additional Information:

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.


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