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Internship Deep Reinforcement Learning Jobs in Minnesota

Mayo Clinic

Research Fellow in Surgical AI

Rochester, MN · On-site

$67K - $78K/yr

... Student Interns sponsored by Mayo Clinic. Qualifications Ph.D. in Computer Science, Electrical ... learning (particularly deep learning). Expertise in statistical learning and random processes ...

Accelint

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

... deep expertise within their domain. Combining differentiated hardware, software and mission ... The Data Scientist will apply knowledge of statistics, machine learning, programming, and data ...

Mayo Clinic

Research Fellow- Neurosurgery

Rochester, MN · On-site

... learning (particularly deep learning). Expertise in Google Cloud Services (GCP) is a plus. The ... Interns sponsored by Mayo Clinic. Qualifications Must have a Ph.D., M.D., or equivalent doctoral ...

Allina Health

Dietitian

Shakopee, MN · On-site

$35.92 - $50.04/hr

Coordinates work experiences for internship learning goals, monitors and evaluates progress ... Our pioneering approach to well-being helps every member of our care team feel a deep sense of ...

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Internship Deep Reinforcement Learning information

What types of projects or tasks can I expect to work on during a deep reinforcement learning internship?

As a Deep Reinforcement Learning (DRL) intern, you'll typically work on projects involving the development, implementation, and evaluation of reinforcement learning algorithms. This might include tasks like training agents in simulated environments, tuning hyperparameters, analyzing performance metrics, and collaborating with team members to integrate DRL solutions into larger systems. You'll also likely spend time reading recent research papers, experimenting with frameworks such as TensorFlow or PyTorch, and presenting your findings to the research team. Collaboration with mentors and other interns is common, and you'll gain hands-on experience that prepares you for more advanced roles in AI research or engineering.

What is an internship in deep reinforcement learning?

An internship in Deep Reinforcement Learning (DRL) is a temporary, hands-on position where interns learn and apply state-of-the-art machine learning algorithms that enable computers to learn decision-making tasks through trial and error. Interns typically work on projects involving neural networks, reward systems, and environments like games or simulations. These internships provide valuable experience with frameworks such as TensorFlow or PyTorch, and exposure to current research in artificial intelligence. The experience helps students or recent graduates build technical skills and prepare for careers in AI research or industry.

What are the key skills and qualifications needed to thrive as an intern in deep reinforcement learning?

To thrive as an Intern in Deep Reinforcement Learning, you need a solid background in mathematics (especially linear algebra, probability, and calculus), programming (Python), and foundational knowledge in machine learning principles, usually supported by ongoing or completed coursework in computer science or related fields. Familiarity with frameworks and tools such as TensorFlow, PyTorch, OpenAI Gym, and experience using version control systems like Git are typically required. Analytical thinking, curiosity, and effective communication are essential soft skills for collaborating on research problems and sharing complex findings. These skills and qualities are crucial for contributing to innovative projects and successfully navigating the challenges of cutting-edge AI research.

What is the difference between Internship Deep Reinforcement Learning vs Data Science Intern?

AspectInternship Deep Reinforcement LearningData Science Intern
Required SkillsMachine learning, programming (Python), reinforcement learning conceptsStatistics, data analysis, programming (Python/R), data visualization
Work EnvironmentResearch labs, AI companies, tech startupsBusiness analytics, tech firms, consulting agencies
Industry UsageAI research, robotics, autonomous systemsBusiness intelligence, marketing, finance

Internship Deep Reinforcement Learning focuses on developing algorithms that enable systems to learn through trial and error, often in AI research or robotics. Data Science Internships involve analyzing data to extract insights and support decision-making. While both roles require programming skills, reinforcement learning emphasizes AI-specific techniques, whereas data science centers on statistical analysis and data visualization.

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What cities in Minnesota are hiring for Internship Deep Reinforcement Learning jobs? Cities in Minnesota with the most Internship Deep Reinforcement Learning job openings:
Internship Deep Reinforcement Learning jobs near you

Teacher, Business (2026-2027) STEM/CTE

Minneapolis Public Schools

Minneapolis, MN

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago

Minneapolis Public Schools rating

6.3

Company rating: 6.3 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

409th of 627 rated elementary and secondary schools

Job description

Below is specific information for you to consider about this position.

Job Title: Teacher, Business (2026-2027) STEM/CTE  and Requisition ID number: 104504

Close Date:  No established closing date;  open until filled

Organizational Unit:  STEM/CTE (10001056) 

Site:  Edison (0352) 

FTE:  1.0 FTE @ 42 Weeks; this is based on full-time equivalency with 1.0 being full time

Union:  Teachers(04) 

Functional Area:  Teaching 

Salary Range:  55,796-116,593

Benefits:  Dental insurance | Health insurance | Vision insurance | Paid time off | HSA & FSA | Retirement plan

Resume and Cover Letter are mandatory to apply for any position.
                                             ****************************************************************************************

2 Positions Available

1 at Fulltime & 1 at 0.6 FTE or 22.5 Hours/Week

SUMMARY

Provide quality instruction and site based program coordination aligned to state and federal requirements associated with Career & Technical Education in the career field of Business, Management and Administration.   Possible courses include, but are not limited to: Entrepreneurship, Microsoft Office, Personal Finance, Principles of Marketing, Data Science and , International Baccalaureate Business and Management.  Implement rigorous inquiry-based learning tasks to engage students in deep content of the discipline in alignment with the appropriate career cluster and pathway. Utilize a variety of assessment strategies - diagnostic, formative and summative, to inform instructional decisions and increase student self-management of learning.

ESSENTIAL FUNCTIONS

* Create an educational environment that acknowledges and encourages multiple pathways to post-secondary education including four year degrees, two year degrees from community and technical colleges, industry certifications, apprenticeships and employer-based learning.

*Support MPS requirements to implement Career & Technical Education programs of study in alignment with Strengthening Career and Technical Education for the 21st Century Act (Perkins V) state and federal goals and reporting requirements which include:

  • Integration of academics (or liberal arts and sciences) with career and technical education programs.

  • Understand and promote the link between CTE at the secondary and postsecondary levels.

  • Provide students with understanding of all aspects of an industry.

  • Develop, improve or expand the use of technology in CTE.

  • Attend CTE professional development as required to maintain program certification requirements.

  • Actively participate in CTE program evaluations.

  • Initiate, improve, expand and modernize quality CTE programming.

  • Align course curriculum and assessments to Technical Skills Assessments (TSA) approved by Minnesota State and local consortium.

  • Provide activities to prepare special populations for high-skill high-wage, or high-demand occupations that will lead to a living wage career.

* Provide context to core academics through integrated, applied and experiential learning (internships, guest speakers, mentoring, job shadowing, worksite tours, field trips, career readiness skills) with a broad exposure to career fields and a balanced high school experience.

* Have a working knowledge of and implement the Minnesota State Standards and the District Graduation Requirements; knowledge of the subject matter, classroom management techniques, current researched best practices and strategies, as well as students' learning styles and needs, both academic and affective.

* Teach students the required curricula using strategies that foster thinking, reasoning and problem solving.

* Collaborate with peers to develop, plan and implement best practices based on the needs/abilities of the students.

* Assess students' developmental, cognitive and social needs and provide developmentally appropriate instruction to meet those needs.

* Create lessons and learning environments that are safe, respectful and interesting as well as multicultural/gender and ability fair/developmentally appropriate.

* Collaborate and communicate regularly with families in making educational decisions and use family and community resources to support learning.

* Acquire knowledge of the goals of the Minneapolis Public School District Improvement Agenda and site/school goals. Work to support and achieve those goals.

* Assess own instructional effectiveness through the Professional Development Process (PDP). Participate in ongoing and regular staff, team and individual professional development.

Education and Experience Guidelines

* Bachelor's Degree from an accredited university OR equivalent knowledge gained through related industry experience

* Prior successful experience student teaching or teaching in an urban, multicultural education setting.

* Prior successful experience interpreting and implementing Minnesota Administrative Rule 8710.4825.

* Demonstrated continued professional development through course work, research, peer collaboration and/or job-embedded staff development.

* Master's or PhD preferred, but not required.

LICENSE AND CERTIFICATION REQUIREMENTS

A valid Minnesota endorsement of Teacher/Coordinator Work-Based Learning in addition or 140050 Business a  teaching license.

                                              ****************************************************************************************


Final candidates may be invited to interview with a committee.  Final appointment to this position will be contingent upon passing a criminal background check.
 
COMMITMENT TO DIVERSITY:
 
Diversity is one of Minneapolis Public Schools core values and is essential to our goal of putting children first and making them college-ready.  Diversity of our workforce provides us with a competitive advantage and allows us to better understand, communicate with and educate our diverse student body. Minneapolis Public Schools will not deny anyone the opportunity for training or employment because of race, color, creed, religion, national origin, gender or gender identity, marital status, status with regard to public assistance, disability, sexual orientation, age, family care leave status, or veteran status.

Minneapolis Public Schools strongly encourages diverse candidates to apply.

Posting Notes: | [No Established Closing Date]  | STEM/CTE (10001056)  | Edison (0352)  | Teaching 

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