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Remote Embedded Machine Learning Jobs in Wisconsin

Scientist I

Madison, WI · On-site +1

$60K - $80K/yr

This position is in-person and eligible for a partially remote schedule. Key Job Responsibilities ... Fluency in at least one machine learning language (e.g. PyTorch) Preferred Qualifications:

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

... Betrieb skalierbarer Machine-Learning- und LLM-Losungen auf Azure Databricks von der ... Hybrid - ca. 50 % vor Ort in Wien, ca. 50 % remote Projektsprache: Deutsch und Englisch Aufgaben: ...

... End Machine-Learning-Workflows von der Entwicklung bis zum produktiven Einsatz. Rahmenbedingungen Start: ASAP Laufzeit: Ende 2026, Verlangerung moglich Auslastung: 100 % Arbeitsmodell: Remote ...

Implementation Manager

Milwaukee, WI · On-site +1

$80K - $90K/yr

... vision, machine learning, and generative AI within the automotive sector. With over $380M in ... This is a remote role, based on CT or ET. The ideal candidate should be located within an hour of a ...

Azure MFA Architect

Racine, WI · Remote

$59.50 - $77.50/hr

... machine learning and text mining, as well as dashboarding and visualization. Pegasus is focused on ... Contract Job Location: 100% REMOTE WORK (Customer located at Racine, WI) Duration: 12+ Months ...

Azure MFA Architect

Racine, WI · On-site +1

$59.50 - $77.50/hr

... machine learning and text mining, as well as dashboarding and visualization. Pegasus is focused on ... Contract Job Location: 100% REMOTE WORK (Customer located at Racine, WI) Duration: 12+ Months ...

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 ...

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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:
Scientist I

$60K - $80K/yr

Full-time

Retirement, PTO

Posted 22 days ago


University Of Wisconsin-Madison rating

8.2

Company rating: 8.2 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

109th of 539 rated colleges and universities


Job description

Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process.
Job Category:
Academic Staff
Employment Type:
Regular
Job Profile:
Scientist I
Job Summary:
This position will involve the design and development of novel AI methods, especially self-supervised learning techniques used for training large-scale foundation models, tailored for fundamental physics analyses. The successful candidate will have a strong interest in multidisciplinary and theoretical work, particularly across the areas of High-Energy Physics (HEP), astrophysics, cosmology, statistics, and machine learning. The candidate will work closely with Prof. Pettee, leading new research directions and supporting the cohesion and mentorship of the team.
The work schedule is flexible and will be determined at the time of hire. This position is in-person and eligible for a partially remote schedule.
Key Job Responsibilities:
  • Conducts literature reviews, prepares reports and materials, and disseminates information to appropriate entities
  • Assists with the identification of research problems and the development of research methodologies and procedures
  • Writes or assists in developing grant applications and proposals to secure research funding
  • Attends and assists with the facilitation of scholarly events and presentations in support of continued professional development and the dissemination of research information
  • Serves as a main point of contact and liaison with internal and external stakeholders providing information and representing the interests of a specialized research area
  • Collects and analyzes research data, conducts experiments and interviews, and documents results according to established policies and procedures under general supervision and limited responsibility

Department:
College of Letters & Science, Physics, High Energy
https://www.physics.wisc.edu/
Compensation:
The expected salary range for this position is $60,000 up to $80,000 for highly experienced candidates. Actual pay within this range will depend on experience and qualifications.
Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. Please review the summary of benefits for more information.
Required Qualifications:
  • Strong interpersonal and communication skills
  • Mentorship & leadership experience
  • Demonstrated ability to lead independent, peer-reviewed research work at the intersection of AI and physics
  • Fluency in at least one machine learning language (e.g. PyTorch)

Preferred Qualifications:
  • Research experience in projects that merge disciplines in fundamental physics
  • Training and/or published research in theoretical physics
  • Training and/or published research in data science & machine learning
  • Domain expertise in high-energy physics and/or astrophysics

Education:
PhD in physics or related fields (especially computer science, data science, statistics, applied math), required
How to Apply:
Click the "Apply" button to start the application process.
To be considered for this recruitment, you must upload:
-Resume/Curriculum Vitae (CV)
-Cover Letter
The materials should address your experience relating to the qualifications referenced above.
There is only one attachment field; please upload all application materials here. All listed application materials must be submitted for your application to be considered. Please submit only the materials specified; additional materials will not be reviewed.
Contact Information:
Rachel Mattingly, rachel.mattingly@wisc.edu, 608-262-7970
Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.
Institutional Statement on Diversity:
Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.
The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.
The University of Wisconsin-Madison is an Equal Opportunity Employer.
Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgrounds and encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website.
To request a disability or pregnancy-related accommodation for any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR) in the division you are applying to. Please make your request as soon as possible to help the university respond most effectively to you.
Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment.
The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7).
The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department.

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About University of Wisconsin

Sourced by ZipRecruiter

The University of Wisconsin, based in Madison, WI, US, functions in the educational industry and is a renowned and respected institution for higher education. Its official website is wisc.edu. Established in 1848, this public research university is recognized globally for its innovative approach to education, research, creativity, and public service. It embodies a strong commitment to academic freedom and academic excellence. As a major contributor to the Wisconsin Idea, it aims to accomplish its mission of generating well-rounded individuals who will contribute substantially to society, the local community, and the global economy.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Madison, WI, US

Year founded

2005