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Remote Aws Machine Learning Jobs in Madison, WI (NOW HIRING)

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:

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Implementation Engineer

Madison, WI · On-site +1

$80K - $85K/yr

Using AI and machine learning, our software analyzes billions of data points collected from sensors ... Hybrid/Remote Company - we are a company with hybrid and remote options. That being said, we have ...

Senior Software Engineer

Madison, WI · Remote

$125K - $165K/yr

This is remote position requiring occasional in-person office meetings for candidates residing in ... Mentor other software engineers and contribute to fostering a culture of continuous learning and ...

Python Software Engineer

Madison, WI · On-site +1

$65K - $70K/yr

Our company is open to hybrid models and remote work with trusted long term employees, but new ... We're looking for individuals with diverse skill sets that share our passion for learning, growing ...

Senior Software Engineer

Madison, WI · On-site +1

$123K - $162K/yr

This is remote position requiring occasional in-person office meetings for candidates residing in ... Mentor other software engineers and contribute to fostering a culture of continuous learning and ...

Python Software Engineer

Madison, WI · On-site +1

$65K - $70K/yr

Our company is open to hybrid models and remote work with trusted long term employees, but new ... We're looking for individuals with diverse skill sets that share our passion for learning, growing ...

Our company is open to hybrid models and remote work with trusted long term employees, but new ... We're looking for individuals with diverse skill sets that share our passion for learning, growing ...

Remote Aws Machine Learning information

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

To thrive as a Remote AWS Machine Learning Engineer, you need a strong background in machine learning algorithms, statistical analysis, and proficiency in programming languages such as Python, often supported by a relevant degree or certification. Familiarity with AWS services like SageMaker, Lambda, and EC2, as well as experience using cloud-based ML tools and AWS Certified Machine Learning credentials, is typically required. Excellent problem-solving skills, self-motivation, and clear written communication are valuable soft skills for remote collaboration and project management. These skills ensure effective model development, seamless deployment on cloud infrastructure, and successful remote teamwork in delivering scalable ML solutions.

What are remote AWS Machine Learning jobs?

Remote AWS Machine Learning jobs involve working with Amazon Web Services' suite of machine learning tools and services, such as SageMaker, to build, train, and deploy machine learning models. These positions allow professionals to work from anywhere, collaborating with teams virtually while leveraging AWS infrastructure to solve data-driven problems. Responsibilities often include data preprocessing, model development, and deploying scalable solutions in the cloud. Typical job titles may include Machine Learning Engineer, Data Scientist, or AI Developer, all with a focus on AWS technologies. These roles require strong programming skills, experience with cloud computing, and a background in machine learning or data science.

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

AspectRemote Aws Machine LearningRemote Data Scientist
Required CredentialsAWS certifications, machine learning coursesStatistics, data analysis, programming skills
Work EnvironmentCloud platforms, AWS services, remote teamsData analysis, modeling, research in remote settings
Industry UsageTech, finance, healthcare using AWS ML toolsResearch, consulting, analytics across industries

Remote AWS Machine Learning specialists focus on deploying machine learning models using AWS cloud services, requiring AWS certifications and cloud expertise. Remote Data Scientists analyze data, build models, and interpret results, often with a stronger emphasis on statistics and programming. While both roles work remotely and involve data, AWS Machine Learning roles are more cloud and deployment-oriented, whereas Data Scientists focus on data analysis and research.

What are some common challenges faced by remote AWS Machine Learning engineers, and how can they be addressed?

Remote AWS Machine Learning engineers often face challenges related to communication and collaboration, especially when working across different time zones and with cross-functional teams. Ensuring secure access to data and cloud resources is another key concern, given the sensitive nature of many machine learning projects. To overcome these challenges, engineers should leverage AWS collaboration tools, maintain clear documentation, and participate in regular virtual meetings. Additionally, setting up robust security protocols and using AWS Identity and Access Management (IAM) helps safeguard project assets while enabling effective teamwork.
What are popular job titles related to Remote Aws Machine Learning jobs in Madison, WI? For Remote Aws Machine Learning jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Remote Aws Machine Learning jobs in Madison, WI look for? The top searched job categories for Remote Aws Machine Learning jobs in Madison, WI are:
What cities near Madison, WI are hiring for Remote Aws Machine Learning jobs? Cities near Madison, WI with the most Remote Aws 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