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Internship Deep Reinforcement Learning Jobs in Nebraska

Osaic

Advisor Support Representative

Omaha, NE · On-site

$45K - $55K/yr

... build a deep base of knowledge by supporting advisors and their teams, learning core service ... For new graduates: internship, co-op experience, prior work experience * 1 years' experience of ...

Osaic

Advisor Support Representative

La Vista, NE · On-site

$45K - $55K/yr

... build a deep base of knowledge by supporting advisors and their teams, learning core service ... For new graduates: internship, co-op experience, prior work experience * 1 years' experience of ...

Osaic

Advisor Support Representative

La Vista, NE · Hybrid

$45K - $55K/yr

... build a deep base of knowledge by supporting advisors and their teams, learning core service ... For new graduates: internship, co-op experience, prior work experience 1 years' experience 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.

What are popular job titles related to Internship Deep Reinforcement Learning jobs in Nebraska?

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The top searched job categories for Internship Deep Reinforcement Learning jobs in Nebraska are:

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Cities in Nebraska with the most Internship Deep Reinforcement Learning job openings:

Internship Deep Reinforcement Learning jobs near you

Advisor Support Representative

Osaic

Omaha, NE • On-site

$45K - $55K/yr

Other

Medical, Dental, Vision, Retirement

Re-posted 8 days ago

Osaic rating

8.1

Company rating: 8.1 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

Job description

Osaic Careers

Customer Service Opportunity in Financial Services

Advisor Support Representative New Graduates Will Be Considered

Locations:

La Vista: 12325 Port Grace Blvd, La Vista, NE 68128

Oakdale: 7755 3rd St. N, Oakdale, MN 55128

Scottsdale: 18700 N Hayden Rd, Suite 255, Scottsdale, AZ 85255

Osaic requires a minimum of four (4) days per week working in the office. Applicants must be able to meet this in-office attendance requirement based on an assigned schedule, regardless of your commuting distance or personal travel time to the designated office location.

Osaic is not considering remote candidates at this time.

Role Type: Full-time, Non-Exempt

Schedule: Shift schedules are aligned to time zones for service however some flexibility may be required. The schedule for training may be different than your ultimate assigned schedule.

Salary: $45,000-$55,000 per year + annual performance-based bonus

Actual compensation offered will be determined individually, based on a number of job-related factors, including location, skills, licensure, experience, and education.

Our competitive compensation is just one component of Osaic's total compensation package. Additional benefits include health, vision, dental insurance, 401k, paid time away, volunteer days, and much more. To view more details of what you can look forward to, visit our careers page: Osaic Benefits.

Summary:

Osaic's Advisor Support team provides high-quality support to financial professionals by responding to inbound phone inquiries and accurately processing service-related forms and documentation. Our ideal candidate is excited to support the thriving businesses of Osaic's Financial Professionals, acting as a key point of contact for their office.

Starting your career within Osaic's Service Call Center provides a strong foundation for long-term growth within the firm. In this role, you'll build a deep base of knowledge by supporting advisors and their teams, learning core service processes, and developing expertise across Osaic's platforms, products, and policies. The Service Call Center is designed as an entry point to the organization, offering hands-on experience, ongoing training, and exposure to multiple areas of the business. As you develop your skills and discover your strengths, you'll have opportunities to expand your responsibilities and explore diverse career paths across Osaic, shaping a future that aligns with your ambitions and potential.

Education Requirements:

High School Diploma or equivalent (GED) required

Responsibilities:

  • Customer Support & Phone Inquiries
    • Answer inbound calls from financial professionals in a courteous, professional, and timely manner
    • Respond to questions regarding accounts, products, services, and procedures
    • Research and resolve issues efficiently, escalating complex matters as needed
    • Document all interactions accurately in internal systems
  • Form Processing & Administrative Support
    • Review, verify, and process service forms and requests submitted by financial professionals
    • Follow established workflows and service-level agreements to meet turnaround time expectations
    • Communicate with financial professionals regarding missing information or required corrections
  • Quality & Compliance
    • Adhere to company policies, regulatory requirements, and data privacy standards
    • Maintain accuracy and attention to detail in all customer interactions and transactions
    • Participate in ongoing training to stay current on products, systems, and procedures
  • Collaboration & Continuous Improvement
    • Work closely with internal teams to resolve inquiries and improve service delivery
    • Identify trends or recurring issues and provide feedback to leadership
    • Contribute to a positive team environment and customer-focused culture

Basic Requirements:

  • Customer-focused mindset
  • Attention to detail and accuracy
  • Problem-solving and critical-thinking skills
  • Time management and organizational skills
  • Motivated individuals looking to grow a career in the Financial Services industry
  • Minimum 1 year providing customer service; including, proven results in bringing solutions to challenging issues experience
  • Proficient with Windows Microsoft Excel, Word, Outlook and Internet
  • Ability to verbally communicate effectively with the Advisors regarding service issues
  • Ability to read & interpret company policies, operations manuals, & technical guides

Preferred Requirements:

  • For new graduates: internship, co-op experience, prior work experience
  • 1 years' experience of brokerage experience
  • Completion of the FINRA SIE exam
  • FINRA Series 7
  • Experience with Envestnet / Wealth Management Platform
  • Bachelor's degree in business, Finance or related field
  • Prior Experience or Exposure Including: Financial Services, Investment Advisory, Billing, Accounting, Customer Service, Advisor Support, Client Support, Operations Support, Account Management, Broker-Dealer, Financial Advisor, Support Representative, Customer Service Representative, Back Office Operations

What Osaic employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Osaic

Sourced by ZipRecruiter

Industry

Finance and insurance

Company size

1,001 - 5,000 Employees

Headquarters location

Phoenix, AZ, US

Year founded

2016

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