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Reinforcement Learning Engineer Jobs in Nebraska

Children need to have FUN while learning the FUNdamentals of sports. Our goal is to provide an ... Our Coaches use positive reinforcement to encourage children to do better and celebrate success

Children need to have FUN while learning the FUNdamentals of sports. Our goal is to provide an ... Our Coaches use positive reinforcement to encourage children to do better and celebrate success

Children need to have FUN while learning the FUNdamentals of sports. Our goal is to provide an ... Our Coaches use positive reinforcement to encourage children to do better and celebrate success

It takes the imagination and passion of all of us-from design and engineering to the manufacturing ... Familiarity with adult learning principles and instructional design. * Previous experience ...

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Reinforcement Learning Engineer information

See Nebraska salary details

$36.2K

$110.5K

$182.6K

How much do reinforcement learning engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for reinforcement learning engineer in Nebraska is $110,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,100.00 and $144,400.00 per year, depending on experience, location, and employer.

What is a reinforcement learning engineer?

Reinforcement Learning Engineers are specialized professionals who design, develop, and implement algorithms based on reinforcement learning, a type of machine learning where agents learn to make decisions by receiving rewards or penalties. They work on building models that enable machines to learn optimal actions through trial and error in complex environments. Their responsibilities often include developing RL architectures, tuning hyperparameters, running simulations, and applying RL methods to real-world problems like robotics, gaming, or recommendation systems. RL Engineers typically have strong backgrounds in computer science, mathematics, and deep learning, along with experience in programming languages like Python and frameworks such as TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive as a reinforcement learning engineer, and why are they important?

To thrive as a Reinforcement Learning Engineer, you need a strong background in machine learning, mathematics (especially probability and statistics), and programming languages like Python, often supported by a relevant degree in computer science or engineering. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), RL libraries (like OpenAI Gym), and cloud computing platforms is typically required. Problem-solving skills, creativity, and effective collaboration help set outstanding engineers apart in this field. These competencies enable the design and deployment of advanced RL solutions that address real-world challenges and drive innovation.

What are some common challenges faced by reinforcement learning engineers when deploying models in real-world environments?

One of the main challenges Reinforcement Learning (RL) Engineers face is bridging the gap between simulation and real-world deployment. Models that perform well in controlled environments may struggle with unpredictable data, safety constraints, or limited feedback in production. Additionally, RL algorithms often require significant computational resources and careful tuning to avoid instability. Collaboration with domain experts and software engineers is essential to address these issues and ensure successful integration of RL solutions into existing systems.

What is the difference between Reinforcement Learning Engineer vs Machine Learning Engineer?

AspectReinforcement Learning EngineerMachine Learning Engineer
CredentialsBachelor's/Master's in CS, AI, or related; experience with RL frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch labs, AI startups, tech companies focusing on RL applicationsTech companies, data-driven firms, AI departments across industries
Industry UsageSpecialized in RL projects like robotics, game AI, autonomous systemsBroader applications including predictive modeling, NLP, computer vision

Reinforcement Learning Engineers focus on developing algorithms that learn through interactions with environments, often in robotics or gaming. Machine Learning Engineers work on a wider range of models and applications. While both roles require strong programming and math skills, RL Engineers specialize in sequential decision-making, whereas ML Engineers handle diverse data-driven tasks across industries.

What are popular job titles related to Reinforcement Learning Engineer jobs in Nebraska? For Reinforcement Learning Engineer jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Reinforcement Learning Engineer jobs in Nebraska look for? The top searched job categories for Reinforcement Learning Engineer jobs in Nebraska are:
What cities in Nebraska are hiring for Reinforcement Learning Engineer jobs? Cities in Nebraska with the most Reinforcement Learning Engineer job openings:

Senior Sales Performance Consultant - GTM Enablement

LinkedIn

Omaha, NE • On-site

Full-time

Posted 14 days ago


LinkedIn rating

9.3

Company rating: 9.3 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

15th of 242 rated software companies


Job description

Company Description
LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed.
Join us to transform the way the world works.
Job Description
This role will be based in NYC, Chicago, Omaha, SF, or Sunnyvale/Mountain View.
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
This role is ideal for someone who's passionate about closing skill gaps and skilled at driving process improvement. We are looking for a Senior Sales Performance Consultant to partner with global Deal Desk leadership and collaborate closely with Sales Operations, Pricing, Finance, Legal, and our Global Sales Enablement teams to deliver skill development and process optimization initiatives that accelerate deal velocity and improve business results.
As a Senior Sales Performance Consultant supporting the global Deal Desk organization, you will identify friction in the deal lifecycle and recommend ways to streamline quoting, pricing, approvals, and deal structuring. You are highly attuned to the Deal Desk organization's strategy and goals, acting as an extension of its leadership team. Using both qualitative and quantitative analysis, you'll uncover skill gaps, process bottlenecks, and technology needs across the quote-to-close motion. With these insights, you'll create strategic skill-building and process-improvement plans - partnering with a dedicated Enablement lead to build out larger-scale programming while remaining hands-on enough to build and deliver solutions yourself - to help the team close deals faster, more accurately, and with less rework.
Key Responsibilities:
  • Serve as a key business partner to Deal Desk senior leaders to identify and solve knowledge, skill, and operational problems
  • Conduct data-driven analysis of the deal lifecycle to uncover knowledge, skill, process, and technology gaps that slow down or add risk to deal execution
  • Plan and execute skill-development and process-optimization strategy that delivers measurable improvements in deal cycle time, quote accuracy, approval efficiency, and compliance
  • Partner with a dedicated Enablement lead to build larger-scale programming, while independently designing, building, and delivering enablement solutions - training, playbooks, workshops, job aids, and reinforcement content - that close skill gaps and drive process adoption
  • Measure skill-building effectiveness and enablement ROI in partnership with Sales Operations and Finance
  • Influence stakeholders to close skill gaps, adopt standardized and optimized deal processes, and use feedback loops to drive continuous improvement and reinforcement
  • Collaborate with multiple senior stakeholders across Sales, Pricing, Operations, Finance, and Legal, and build coalitions of executive sponsors
  • Innovate using enablement and workflow technology to monitor knowledge and skill gaps, surface friction points, and drive learning reinforcement
  • Drive change management by securing cross-functional alignment, buy-in, and sponsorship, and by delivering exceptional skill-building and process-improvement strategies that ensure durable, long-term adoption

Qualifications
Basic Qualifications:
  • 7+ years of combined Deal Desk, sales operations, sales enablement, process improvement, change management, or consulting experience
  • Bachelor's degree

Preferred Qualifications:
  • 5+ years of enablement experience
  • 3+ years of experience in Deal Desk, quote-to-cash, or sales operations
  • Exceptional executive communication skills with a demonstrated ability to influence executives without formal authority
  • Ability to navigate a complex, matrixed, and fast-paced organization, partnering with cross-functional stakeholders to roll out skill-building programs and process changes
  • Deep behavior/skill and process change management experience, ideally in a deal execution or quote-to-cash environment
  • Ability to perform robust data analysis, including identifying skill gaps and mapping process flows to quantify friction and improvement opportunities
  • Experience with adult learning and instructional design concepts and tools, with a demonstrated ability to build programs that drive skill development, process adoption, and business outcomes
  • Program/project management skills, with an ability to own and lead a skill-building or process-improvement program end to end
  • Resourcefulness in ambiguity - ability to self-solve when faced with challenges
  • Ability to deconstruct complex problems, root-cause the underlying skill and process drivers, and offer solutions rooted in business priorities
  • Command of an audience as demonstrated by facilitation and/or public speaking experience
  • Fluency in ML/AI tools, specifically CPQ/deal-desk software, Learning Management Systems, AI Sales Enablement software, project management software, and MS Excel and PowerPoint

Suggested Skills:
  • Enablement
  • Stakeholder management
  • Executive Comunication
  • Change Management
  • Data Analysis

LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $117,000 to $190,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.
Additional Information
Equal Opportunity Statement
We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation.
Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
  • Documents in alternate formats or read aloud to you
  • Having interviews in an accessible location
  • Being accompanied by a service dog
  • Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
San Francisco Fair Chance Ordinance
Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.
Global Data Privacy Notice and Compliance Posters for Job Candidates
Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.

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