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Junior Machine Learning Engineer Jobs in Clear Lake, WI

The Department of Electrical Engineering and Computer Science - AI Cluster Hire Initiative The ... Develop and teach undergraduate and graduate courses in AI, machine learning, data science, or ...

Bachelor of Science in Computer Science, Computer Engineering, Information Systems,5+ years in machine learning and data science; advanced degrees may offset experience requirements Compliance Salary ...

... learning!" - Civil Engineer * "This is the first company I've worked for with a true ... Work ina collaborative team environment whereyou'llimpactteam decisions and mentor our junior ...

This involves writing and debugging CNC programming similar to a CNC machinist's duties. * Various ... If you are interested in learning more about a career with Preco as a Production Associate, apply ...

This involves writing and debugging CNC programming similar to a CNC machinist's duties. * Various ... If you are interested in learning more about a career with Preco as a Production Associate, apply ...

This involves writing and debugging CNC programming similar to a CNC machinist's duties. * Various ... If you are interested in learning more about a career with Preco as a Production Associate, apply ...

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Showing results 1-20

Junior Machine Learning Engineer information

See Clear Lake, WI salary details

$36.8K

$78.9K

$120.3K

How much do junior machine learning engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for junior machine learning engineer in Clear Lake, WI is $78,905.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,300.00 and $87,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What cities near Clear Lake, WI are hiring for Junior Machine Learning Engineer jobs? Cities near Clear Lake, WI with the most Junior Machine Learning Engineer job openings:
Infographic showing various Junior Machine Learning Engineer job openings in Clear Lake, WI as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $78,905 per year, or $37.9 per hour.

$100K - $115K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago


Job description

The Talent Acquisition department hires qualified candidates to fill positions which contribute to the overall strategic success of Howard University. Hiring staff "for fit" makes significant contributions to Howard University's overall mission.

At Howard University, we prioritize well-being and professional growth.

Here is what we offer:

  • Health & Wellness: Comprehensive medical, dental, and vision insurance, plus mental health support
  • Work-Life Balance: PTO, paid holidays, flexible work arrangements
  • Financial Wellness: Competitive salary, 403(b) with company match
  • Professional Development: Ongoing training, tuition reimbursement, and career advancement paths
  • Additional Perks: Wellness programs, commuter benefits, and a vibrant company culture

Join Howard University and thrive with us!

https://hr.howard.edu/benefits-wellness

The Department of Electrical Engineering and Computer Science - AI Cluster Hire Initiative

The Department of Electrical Engineering and Computer Science in the College of Engineering

and Architecture at Howard University invites applications for a full-time, tenure-track position

for a broadly trained computer scientist with research expertise and teaching interests in

advancing artificial intelligence to address healthcare challenges with a focus on multimodal

foundation models to clinical decision support systems. With an anticipated start date of August

2026, this position is part of the Office of the Provost Artificial Intelligence (AI) Cluster Hire

Initiative, which aims to expand AI interdisciplinary research and instruction across the

University

This position is part of the cluster, "Development and Application of Multimodal Foundation

Models to Clinical Decision Support Systems," which is jointly led by the College of

Engineering and Architecture and the College of Medicine. The goal is to bring together and

invest in faculty across departments whose research and scholarship are linked through this

cluster and to attract faculty members who can bring different perspectives.

This cluster aims to recruit scholars with expertise in the development of AI models and

multimodal models, as well as their application to electronic medical records (EMR). These

efforts will contribute to generating predictive insights about patients' health and well-being,

addressing critical challenges in healthcare delivery, and improving health outcomes.

Key Responsibilities:

  • Conduct cutting-edge, interdisciplinary research in AI with a focus on health applications.
  • Develop and teach undergraduate and graduate courses in AI, machine learning, data science, or health informatics.
  • Collaborate across disciplines to apply AI methodologies to analyze and model complex healthcare data, including EMRs.
  • Pursue external funding to support research and training initiatives.
  • Mentor students from diverse backgrounds, fostering an inclusive and equitable academic environment.

Qualifications

  • A Ph.D. or equivalent terminal degree in a relevant field, such as computer science or data science.
  • Demonstrated ability or potential to secure external funding for research.
  • Experience or potential for excellence in teaching at the undergraduate and graduate levels.
  • Proven ability to work collaboratively in interdisciplinary research environments.
  • Demonstrated expertise in AI, machine learning, or multimodal modeling.
  • A record of (or potential for) impactful research, evidenced by publications, grants, or industry partnerships.
  • Experience or interest in applying AI to EMR data or healthcare challenges.
  • A commitment to interdisciplinary collaboration and promoting student access to and engagement in their teaching and research/scholarship/creative activities.

Salary Range: $100,000 - $115,000

About Howard University

Howard University is a premier Historically Black College and University (HBCU) committed to

excellence in teaching, research, and service, offering a vibrant academic community engaged in

interdisciplinary innovation, social impact, and collaborations across campus, including with

Howard University Hospital. The Computer Science Program, housed in the Department of

Electrical Engineering and Computer Science within the College of Engineering and

Architecture (CEA), benefits from CEA's fully accredited engineering, architecture, and

computing programs and its strong federal, industry, and research partnerships in Washington,

D.C. The program supports robust undergraduate and graduate offerings and advances research

in areas such as artificial intelligence, cybersecurity, data science, software engineering, and

emerging AI-and-health applications.

Howard University is committed to providing equal opportunity in employment as well as in its educational programs and activities. The University prohibits discrimination or harassment based on race, color, national and ethnic origin, sex, marital status, religion, disability, veteran status, sexual orientation, political affiliation, gender identity, or any other classification, activities, or conditions protected by applicable law. For more information on Howard University, call 202-238- 2330, or visit the University's Web site at www.howard.edu.

EEO: The University does not discriminate based on race, color, national and ethnic origin, sex, marital status, religion, or disability. Veteran status and people with disabilities are encouraged to apply. Inquiries regarding provisions for persons with disabilities, equal opportunity, and Title IX would be directed to the Office of the Vice President for Human Resources.

Compliance Salary Range Disclosure