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Internship Recommender Systems Jobs in Colorado (NOW HIRING)

Digital Analyst Internships

Aurora, CO · On-site

$100K - $118K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Documenting system integrations and workflows within digital platforms * Analyzing data from tools ...

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Internship Recommender Systems information

What is the difference between Internship Recommender Systems vs Data Analyst?

AspectInternship Recommender SystemsData Analyst
Required CredentialsTypically a background in computer science, data science, or related fields; familiarity with machine learning and recommender algorithmsDegree in statistics, mathematics, or related fields; proficiency in data analysis tools and programming languages
Work EnvironmentTech companies, startups, or online platforms focusing on personalized recommendationsBusiness, finance, healthcare, or marketing sectors analyzing data to inform decisions
Employer & Industry UsageUsed by companies developing recommendation engines for internships or job matching platformsEmployed across various industries to interpret data, generate reports, and support strategic decisions

Internship Recommender Systems focus on developing algorithms to match candidates with internships, requiring technical skills in machine learning. Data Analysts interpret and analyze data to support business decisions, often using statistical tools. While both roles involve working with data, their applications and skill sets differ significantly.

What is an internship recommender systems?

Internship recommender systems are digital tools or algorithms designed to help students and job seekers find internship opportunities that best match their skills, interests, and qualifications. By analyzing user profiles, preferences, and sometimes even past experiences, these systems suggest internships that are likely to be a good fit. They often use machine learning or artificial intelligence techniques to personalize recommendations and improve the matching process over time. Such systems are widely used by universities, career platforms, and large organizations to streamline the internship search and application process.

What types of projects can I expect to work on during an internship focused on recommender systems?

As an intern working on recommender systems, you’ll typically contribute to projects such as improving recommendation algorithms, analyzing user interaction data, and testing new personalization features. You might also collaborate with data scientists and engineers to prototype and evaluate models, conduct A/B tests to measure recommendation performance, and help refine data pipelines. The work often involves both independent research and teamwork, giving you exposure to a blend of technical implementation and real-world problem-solving in a collaborative environment.

What are the key skills and qualifications needed to thrive as an internship recommender systems engineer, and why are they important?

To excel as an Internship Recommender Systems Engineer, a strong background in computer science, statistics, and machine learning, often supported by relevant coursework or experience, is essential. Familiarity with programming languages like Python, data analysis libraries, machine learning frameworks (such as TensorFlow or PyTorch), and recommendation system algorithms is typically required. Analytical thinking, problem-solving skills, and the ability to collaborate effectively with teams help candidates stand out. These skills are crucial for designing, implementing, and optimizing recommendation systems that deliver accurate and personalized suggestions to users.

What are popular job titles related to Internship Recommender Systems jobs in Colorado?

For Internship Recommender Systems jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Internship Recommender Systems jobs in Colorado look for?

The top searched job categories for Internship Recommender Systems jobs in Colorado are:

What cities in Colorado are hiring for Internship Recommender Systems jobs?

Cities in Colorado with the most Internship Recommender Systems job openings:

Real-time power system modeling and simulation internship

Nrel

Boulder, CO

$51K - $81K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 27 days ago


Job description

Posting TitleReal-time power system modeling and simulation internship

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LocationCO - Boulder

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Position TypeIntern (Fixed Term)

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Hours Per Week40

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Working at NLRNLR's 305-acre Flatirons Campus is the nation's premier wind energy, water power, and grid integration research facility. Nestled south of Boulder, Colorado, and north of NLR's main South Table Mountain campus, Flatirons Campus sits adjacent to the Rocky Flats National Wildlife Refuge and countless acres of open space and parks with stunning views of the Flatirons rock formations.

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 Description

The Power Systems Engineering Center (PSEC) at the National Laboratory of the Rockies (NLR) is inviting applications for internship positions to work in the area of modern power systems with high-level of inverter-based resources (IBR). This position will perform power system real-time modeling and simulation and use NLR's large-scale digital real time simulation capability. This work will be conducted at NLR's Flatiron Campus. The researcher should have knowledge of power system real-time simulation using RTDS and IBR modeling.

Job responsibilities will include:

  • Provide technical analysis related to power electronics and power systems control of inverter-based resources, such as battery energy storage systems, and large industrial drives.
  • Work under supervision to build power system with real-time EMT simulation considering the integration of GTFPGA or GTSOC units.
  • Integrating, testing, and using user-written "black box" models in PSCAD and RSCAD for solar inverters, battery energy storage systems (BESS), or other advanced power electronic based systems.
  • Evaluate studies that examine the impact of high percentage of inverter-based resources on power systems.
  • Writing and publishing results of analysis in peer-reviewed journals and technical reports
  • Follow all Environmental, Safety, and Health policies to ensure and maintain a safe working environment.

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Basic QualificationsMinimum of a 3.0 cumulative grade point average.
Undergraduate: Must be enrolled as a full-time student in a bachelor's degree program from an accredited institution.
Post Undergraduate: Earned a bachelor's degree within the past 12 months. Eligible for an internship period of up to one year.
Graduate: Must be enrolled as a full-time student in a master's degree program from an accredited institution.
Post Graduate: Earned a master's degree within the past 12 months. Eligible for an internship period of up to one year.
Graduate + PhD: Completed master's degree and enrolled as PhD student from an accredited institution.
Please Note:
Applicants are responsible for uploading official or unofficial school transcripts, as part of the application process.
If selected for position, a letter of recommendation will be required as part of the hiring process.
Must meet educational requirements prior to employment start date.

* Must meet educational requirements prior to employment start date.

Additional Required Qualifications

Required Knowledge, Skills and Attributes:

  • Experience with power system EMT software tools such as PSCAD, RSCAD, MATLAB/Simulink, or other EMT simulation tools.
  • Solid knowledge using RSCAD for power system modeling, ideally experience with using GTFPGAs and GTSOCs.
  • Solid knowledge on the modeling and control of inverter-based resources.
  • Knowledge of co-simulation between PSCAD-RSCAD and PSS/E-PSCAD.
  • Understand RTDS modeling and HIL testing.
  • Ability to present technical results to multi-stakeholder audiences.
Preferred Qualifications

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Job Application Submission Window

The 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: $51,200 - $81,900

NLR 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 Workplace

NLR 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 Guidelines

Please 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 Employer

All 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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