$15.50 - $20.75/hr
Eligible for an internship period of up to one year. Graduate: Must be enrolled as a full-time ... Familiarity with ML libraries or frameworks such as scikit-learn, TensorFlow, PyTorch, or similar
$15.50 - $20.75/hr
Eligible for an internship period of up to one year. Graduate: Must be enrolled as a full-time ... Familiarity with ML libraries or frameworks such as scikit-learn, TensorFlow, PyTorch, or similar
Eligible for an internship period of up to one year. Graduate: Must be enrolled as a full-time ... Familiarity with ML libraries or frameworks such as scikit-learn, TensorFlow, PyTorch, or similar
Eligible for an internship period of up to one year. Graduate: Must be enrolled as a full-time ... Familiarity with ML libraries or frameworks such as scikit-learn, TensorFlow, PyTorch, or similar
| Aspect | Pytorch Internship | Machine Learning Intern |
|---|---|---|
| Required Skills | Proficiency in Pytorch, Python, deep learning concepts | Python, machine learning algorithms, data analysis |
| Work Environment | Research labs, tech companies, AI startups | Tech firms, research institutions, data-driven companies |
| Industry Usage | Deep learning projects, neural network development | Broader ML applications, data modeling |
Both roles involve working with machine learning, but a Pytorch Internship specifically focuses on deep learning frameworks like Pytorch, while a Machine Learning Intern may work across various ML techniques. The Pytorch Internship is ideal for those specializing in neural networks and deep learning, whereas the Machine Learning Intern role covers a wider range of ML applications.
$15.50 - $20.75/hr
Part-time
Medical, Dental, Vision, Retirement
Re-posted 11 days ago
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LocationCO - Golden.
Position TypeIntern (Fixed Term).
Hours Per Week20.
Working at NLRNLR is located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for energy systems research and development.Join the National Laboratory of the Rockies (NLR), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NLR stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job creation, and promote national economic growth.
At NLR, you'll find a mission-driven environment supported by state-of-the-art facilities, multidisciplinary research teams, and strong collaborations with industry, academia, and other national laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being.
Job DescriptionSeekingfull - or part-time graduate candidates to workwith researchers inNLRCenter for Integrated Mobility Sciencesondatabase development, data processing, and dashboard development to supportanalysis of mobility trends andenergy implications of emerging transportation technologies.Specific tasksmayinclude:
AssistNLRresearcherson projectsprovidinginsights into transportation energy systems, with a focus on how emerging transportation systems impact travel behavior, quality of life, and energy use.
Analyze large-scalereal-world travel activity,vehicle driving,andgeospatial datasets using scalable,high-performance computingapproaches.
Contribute to the development and enhancement of population evolution and demographic microsimulation frameworks, including model design, calibration, validation, and scenario analysis; clearly communicate modeling approaches and findings to technical and non-technical stakeholders.
Evaluate transportation accessibility outcomes alongside economic andoutcomes, andhelp quantify tradeoffs and co-benefits associated with emerging mobility systems, infrastructure investments, and policy interventions.
Generate insights from transit datasets, including General Transit Feed Specification (GTFS), ridership, usage, and fare data to evaluate transit performance and accessibility.
Deliver quality products that synthesize external literature, data analyses, and modeling results.
Document methods andassumptions andassistwith preparing peer-reviewed publicationsalong withhigh-quality technical reports andpresentations.
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Basic QualificationsMinimum of a 3.0 cumulative grade point average.* Must meet educational requirements prior to employment start date.
Additional Required QualificationsExperience working with quantitative data and performing statistical or analytical tasks
Proficiency in at least one programming or analytical tool such as Python, R, MATLAB, or SQL
Ability to create clear and accurate data visualizations using tools such as Python (Matplotlib/Seaborn), R (ggplot2), or similar
Experience handling large or complex datasets
Strong problem-solving skills and attention to detail
Good written and verbal communication skills
Experience with demographic or population modeling or longitudinal data
Experiences with transportation modeling, travel demand modeling, or land use and transportation interaction
Familiarity with GIS tools
Experience applying ML or data-driven methods to forecasting, behavioral modeling, or pattern recognition
Familiarity with ML libraries or frameworks such as scikit-learn, TensorFlow, PyTorch, or similar
Cumulative undergraduate/graduate GPA over 3.5 on a 4.0 scale.
Please include all relevant experience and qualification information on the uploaded PDF (or MS Word) copy of your resume or CV.
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Job Application Submission WindowThe anticipated closing window for application submission is up to 30 days and may be extended as needed.
Annual Salary Range (based on full-time 40 hours per week)Job Profile: / Annual Salary Range: $44,500 - $71,200NLR takes into consideration a candidate's education, training, and experience, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee's salary history will not be used in compensation decisions.
Benefits SummaryBenefits include medical, dental, and vision insurance; 403(b) Employee Savings Plan with employer match*; and sick leave (where required by law). NLR employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement- based awards that include a monetary component. Some positions may be eligible for relocation expense reimbursement. Internships projected to be less than 20 hours per week are not eligible for medical, dental, or vision benefits.* Based on eligibility rules
Badging RequirementNLR is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation. Intern assignments extending beyond six months will be subject to this requirement.Drug Free WorkplaceNLR is committed to maintaining a drug-free workplace in accordance with the federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug.
If you are offered employment at NLR, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn.
Submission GuidelinesPlease note that in order to be considered an applicant for any position at NLR you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.
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Equal Opportunity EmployerAll qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.
Reasonable Accommodations
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