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Internship Applied Scientist Machine Learning Jobs in Michigan

Machine Learning Engineer Location: Detroit, MI- Onsite Type: Full-time Security Clearance: No ... Required Qualifications * BS. in Computer Science, or related field. * 3+ years of professional ...

The ideal candidate will leverage data science, machine learning, physics-based modeling, and signal processing techniques to predict component degradation and estimate Remaining Useful Life (RUL ...

Machine Learning Engineer #1058742 Position Description: We are seeking an experienced AI Engineer ... This role combines expertise in Data Science, Software Engineering, and MLOps to deliver scalable ...

$95K - $130K/yr

You will help translate data science prototypes into secure, scalable, and production-ready ... end machine learning pipelines covering data ingestion, preprocessing, training, validation ...

Machine Learning Tutor

Kalamazoo, MI ยท Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Showing results 21-40

Internship Applied Scientist Machine Learning information

What types of projects do internship applied scientists in machine learning typically work on, and how do they contribute to the team's goals?

Internship Applied Scientists in Machine Learning often collaborate with multidisciplinary teams to tackle real-world problems using data-driven approaches. Typical projects might include developing and fine-tuning machine learning models, conducting experiments to validate hypotheses, or assisting in the deployment of algorithms into production systems. Interns are expected to contribute fresh perspectives, help with data preprocessing, and perform thorough model evaluations. Through these projects, interns gain hands-on experience while directly supporting the team's research and product development objectives.

What is the difference between Internship Applied Scientist Machine Learning vs Internship Data Scientist?

AspectInternship Applied Scientist Machine LearningInternship Data Scientist
Required CredentialsRelevant degrees in Computer Science, Data Science, or related fields; knowledge of ML frameworksDegrees in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentResearch and development teams, focus on ML model developmentBusiness teams, focus on data analysis and insights
Employer & Industry UsageTech companies, AI-focused organizationsVarious industries including tech, finance, healthcare
Comparison Search IntentUnderstanding roles in ML research and developmentUnderstanding data analysis and business insights roles

Internship Applied Scientist Machine Learning roles focus on developing and applying machine learning models, often in research settings. In contrast, Internship Data Scientist positions emphasize analyzing data to generate insights for business decisions. Both roles require strong analytical skills and relevant educational backgrounds, but they differ in their primary focus and work environment.

What are the key skills and qualifications needed to thrive as an internship applied scientist in machine learning, and why are they important?

To thrive as an Internship Applied Scientist in Machine Learning, you need a solid background in mathematics, statistics, and computer science, often supported by coursework or research experience in machine learning and data analysis. Familiarity with tools such as Python, TensorFlow, PyTorch, and experience working with large datasets are highly valued, along with knowledge of version control systems like Git. Strong problem-solving skills, curiosity, and the ability to communicate complex concepts clearly set top candidates apart. These competencies are crucial for effectively designing, implementing, and presenting machine learning solutions that address real-world challenges.

What does an internship applied scientist in machine learning do?

An Internship Applied Scientist in Machine Learning works on real-world projects involving the design, development, and evaluation of machine learning models and algorithms. Their responsibilities typically include data analysis, building predictive models, experimenting with new techniques, and collaborating with engineers and researchers to solve complex problems. Interns gain hands-on experience with tools like Python, TensorFlow, or PyTorch, and contribute to advancing the company's AI capabilities. The role requires a strong foundation in mathematics, statistics, and computer science, as well as the ability to communicate findings to both technical and non-technical stakeholders.
What are the most commonly searched types of Applied Scientist Machine Learning jobs in Michigan? The most popular types of Applied Scientist Machine Learning jobs in Michigan are:
What are popular job titles related to Internship Applied Scientist Machine Learning jobs in Michigan? For Internship Applied Scientist Machine Learning jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Internship Applied Scientist Machine Learning jobs in Michigan look for? The top searched job categories for Internship Applied Scientist Machine Learning jobs in Michigan are:
What cities in Michigan are hiring for Internship Applied Scientist Machine Learning jobs? Cities in Michigan with the most Internship Applied Scientist Machine Learning job openings:

Data Scientist (Artificial Intelligence/Machine Learning)

Socket.dev

Battle Creek, MI โ€ข On-site

$125.78 - $187.09/hr

Other

Posted 5 days ago


Job description

Summary

See below for important information regarding this job.
Position will be filled at any of the locations listed below. Site specific salary information as follows:
Battle Creek, MI: $125,776- $163,514
Columbus, OH: $131,245- $170,624
Dayton, OH: $130,461 - $169,604
Fort Belvoir, VA: $143,913- $187,093
New Cumberland, PA: $143,913- $187,093
Ogden, UT: $125,776- $163,514
Philadelphia, PA: $138,595- $180,178
Richmond, VA: $131,385- $170,806

Learn more about this agency

This job is open to The public

U.S. Citizens, Nationals or those who owe allegiance to the U.S.

Clarification from agency

This is a Streamlined Direct Hiring Authority notice open to the Public.

Duties
  • Serves as an Al (Artificial Intelligence) Testing and Evaluation Data Scientist providing subject matter Al expertise and execution to test and evaluate Al systems.
  • Provides professional and scientific expertise in the application of data science disciplines for complex studies in machine learning and deep learning algorithms, statistical analysis, visualizations, programing and computer science.
  • Provides expertise in evaluating and measuring data science and artificial intelligence systems in accordance with data science Lifecyle practices within DoD parameters.
  • Ensures Al systems are developed in accordance with applicable legal frameworks such as General Data Protection Regulation (GDPR) and National Institute of Standards and Technology (NIST).
  • Incorporates, Office of Management and Budget (0MB) test and evaluation requirements, DOD Al ethical principles into DLA Al test and evaluation framework to generate an RAI test strategy for modeling cases.
  • Utilizes expertise to coordinate the integration of the DLA Al testing and evaluation program during the product lifecycle from concept and design inception, as development proceeds, and integrated to ensure effective RAI implementation.
Requirements Conditions of employment
  • Must be a U.S. citizen
  • Tour of Duty: Set Schedule
  • Security Requirements: Non-Critical Sensitive with Secret Access
  • Appointment is subject to the completion of a favorable suitability or fitness determination, where reciprocity cannot be applied; unfavorably adjudicated background checks will be grounds for removal.
  • Fair Labor Standards Act (FLSA): Exempt
  • Selective Service Requirement: Males born after 12-31-59 must be registered or exempt from Selective Service.
  • Recruitment Incentives: Not Authorized
  • Bargaining Unit Status: No
  • Pre-Employment Physical: Not Required
  • Selectees are required to have a REAL ID or other acceptable identification documents to access certain federal facilities. See https://www.tsa.gov/real-id for more information.
  • This position and any future selections from this announcement may be used to fill future vacancies for various shifts located anywhere within DLA Information Operations, J-6.
Qualifications

To qualify for a Data Scientist (Artificial Intelligence/Machine Learning), your resume and supporting documentation must support:
A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
B. Specialized Experience: One year of specialized experience that equipped you with the particular competencies to successfully perform the duties of the position and is directly in or related to this position. To qualify at the GS-14 level, applicants must possess one year of specialized experience equivalent to the GS-13 level or equivalent under other pay systems in the Federal service, military, or private sector. Applicants must meet eligibility requirements including time-in-grade (General Schedule (GS) positions only), time-aftercompetitive appointment, minimum qualifications, and any other regulatory requirements by the cut-off/closing date of the announcement. Creditable specialized experience includes:

  • Conducts large, agency wide, research and development reviews of metrics, measurements, and evaluation methods for emerging and existing areas of Al.
  • Utilizes data science expertise to develop algorithms and tools to support data manipulation and processing as well as the use of data visualization techniques to articulate high risk findings.
  • Ensures the Al systems are designed for auditability to manage Al risk assessment policies and principles which guide automated decisions supporting DLA business operations.
  • Provides expert advice to senior leadership and Al stakeholders to adopt new or revised policy and implementation plans resulting from Al test and evaluation integration.
  • Assess data quality and establishes standards to validate quality criteria for data to ensure it meets the necessary requirements for Al testing and evaluation.

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.

Education

Are you using your education to qualify? You MUST provide transcripts or other documentation to support your educational claims. Unless otherwise stated: Unofficial transcripts are acceptable at time of application.
GRADUATE EDUCATION: One academic year of graduate education is considered to be the number of credits hours that your graduate school has determined to represent one academic year of full-time study. Such study may have been performed on a full-time or part-time basis. If you cannot obtain your graduate school's definition of one year of graduate study, 18 semester hours (or 27 quarter hours) should be considered as satisfying the requirement for one year of full-time graduate study.
FOREIGN EDUCATION: If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show that the education credentials have been evaluated by a private organization that specializes in interpretation of foreign education programs and such education has been deemed equivalent to that gained in an accredited U.S. education program; or full credit has been given for the courses at a U.S. accredited college or university.

Additional information

As required by 5 C.F.R. ยง 302.106, DLA will provide Section 508 conformant ICT to employees with disabilities. All ICT interfaces with the public related to vacancy announcements and career transition opportunities must conform to the applicable requirements in the current ICT Standards and Guidelines (36 C.F.R. ยง 1194).
For Important General Applicant Information and Definitions go to: http://www.dla.mil/portals/104/documents/careers/GenAppInfoDef.pdf
Reemployed Annuitants: This position does not meet criteria for appointment of Reemployed Annuitants. The DoD criteria for hiring Reemployed Annuitants can be found at: https://www.esd.whs.mil/Portals/54/Documents/DD/issuances/140025/140025_vol300.PDF
Drug-Free Workplace Policy
The Defense Logistics Agency (DLA) is committed to maintaining a safe, drugโ€‘free workplace. All DLA employees are required to refrain from illegal drug use on and off duty. DLA conducts preโ€‘employment, reasonable suspicion, postโ€‘accident, and random drug testing.
Applicants tentatively selected for employment in testing designated positions will undergo a urinalysis to screen for illegal drug use prior to appointment. Refusal to undergo testing or testing positive for illegal drugs will result in withdrawal of the tentative job offer and a sixโ€‘month denial of employment with DLA from the date of the drug test. Employees in drug testing designated positions are subject to random drug testing. A negative drug test result must be received by HR within 30 calendar days after the EOD (i.e., start date). The selectee's inability successfully pass; or refusal to conduct the test may result in: 1) the tentative or FJO being withdrawn during the recruitment process; or 2) subsequently being removed from Federal service for failure to meet a condition of employment. You may be required to sign a "Drug Test Statement of Understanding" if you are selected for this position.
The DLA drug testing panel tests for the following substances: marijuana, cocaine, opiates, heroin, phencyclidine, amphetamines, methamphetamines, fentanyl, norfentanyl, methylenedioxymethamphetamine (MDMA), methylenedioxyamphetamine (MDA), and opioids.
ADVISORY: Use of cannabidiol (CBD) products may result in a positive drug test for marijuana. DLA employees are subject to Federal law and under Federal law, Marijuana is illegal.
This job will close when the agency has received 100 applications, which may be sooner than the closing date.
Additional guidance on writing a federal resume can be found at: USAJOBS Help Center - How do I write a resume for a federal job? The resume builder can help you create a resume using these recommendations and uses the information in your USAJOBS profile to help you get started.

Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.

How you will be evaluated

You will be evaluated for this job based on how well you meet the qualifications above.

The assessments for this job will measure the following Competencies:

Occupational Interaction Assessment
  • Attention to Detail
  • Customer Service
  • Flexibility
  • Influencing/Negotiating
  • Integrity/Honesty
  • Interpersonal Skills
  • Learning
  • Self-Management
  • Stress Tolerance
  • Teamwork
Occupational Judgment Assessment
  • Decision Making
Occupational Reasoning Assessment
  • Reasoning
Direct Hire Evaluation

Direct Hire Evaluation: Once the application process is complete, a review of your application will be made to ensure you meet the job requirements. This vacancy will be filled through a Direct Hire Authority. All applicants who meet the basic qualification requirements will be forwarded to the Selecting Official for consideration. The rule of Three, Veteran's Preference and traditional rating and ranking of applicants do not apply to this vacancy. We will evaluate your application for basic eligibility and to determine if your experience meets the basic qualification requirements described in the announcement. All applicants who meet the qualifications and other basic requirement are eligible for referral and selection consideration. Please follow all instructions carefully. Errors or omissions may affect your rating.

Required Documents

To apply for this position you must provide a complete Application Package. Each Application Package MUST include:

  • Your Resume: IMPORTANT UPDATE: Your resume must not exceed two (2) pages. If your resume exceeds the two-page limit, you will be removed from consideration for this announcement. The resume and required supporting documentation should provide the minimum qualifications and relevant experience for the announced position. Must include the work schedule, hours worked per week, dates of employment, and duties performed. If multiple resumes are submitted by an applicant, only the last resume submitted will be reviewed for qualifications and referred for selection consideration, if eligible. The resume must not be more than 5MB and should be saved and uploaded as a PDF to maintain formatting and number of pages. We also accept GIF, JPG, JPEG, PNG, RTF, TXT, PDF, ODT or Word (DOC or DOCX). We do not accept PDF portfolio files. Page margins should be 0.5 inches, and font styles must be legible. Consider using 14-point size font for titles and 10-point for the main text. We recommend using a font like Lato, if available. Other widely available options are Calibri, Helvetica, Arial, Verdana, Open San Source Sans Pro, Roboto or Noro Sans.
  • Applicable documents to support the eligibility(s) for which you are applying. Please review the following link for a listing of the additional documents you will need to provide: Supporting Documents.
  • If you are requesting a reasonable accommodation to the USA Hire Competency Based Assessments, submit documentation to support your request, including the Reasonable Accommodation Request Form found here.
If you are relying on your education to meet qualification requirements:

Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education.

Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating.

Overview

Accepting applications

Posted today ยท Apply by 06/19/26

Due by 11:59 p.m. ET on June 19, 2026

This job will close when we have received 100 applications which may be sooner than the closing date. Learn more

Location

3 vacancies in the following locations:

Battle Creek, MI

Whitehall, OH

Wright-Patterson AFB, OH

New Cumberland Defense Logistics Center, PA

Philadelphia, PA

Hill AFB, UT

Fort Belvoir, VA

Richmond, VA

No matching locations found.

Work site options

Telework eligible

Yesโ€”as determined by the agency policy.

Remote job

No

Relocation expenses reimbursed

No

Salary

$125,776 - $187,093 per year

See Summary Section for Additional Salary Information.

Pay scale & grade

GS 14

Promotion potential

14

Work schedule

Full-time

Travel Required

Occasional travel - You may be expected to travel for this position.

Appointment type

Permanent

Occupations and job series
  • 1560 Data Science Series
Supervisory status

No