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Postdoctoral In Reinforcement Learning Jobs in Arnold, MO

Every Child's Hope

Math Teacher

Saint Louis, MO

$44K - $57K/yr

Teachers at ECH work hand in hand with treatment teams to provide a safe, trauma-informed learning ... Works with students to provide consistent reinforcement to learning, continuous assessment of level ...

Archdiocese of St. Louis

K-8 Sub (5447)

Saint Louis, MO · On-site

$48K - $58K/yr

... student learning in the absence of regular classroom teachers. The substitute teacher is ... Encourage respectful and responsible student behavior through positive reinforcement and classroom ...

Archdiocese of St. Louis

K-8 Sub (5447)

Saint Louis, MO · On-site

$48K - $58K/yr

... student learning in the absence of regular classroom teachers. The substitute teacher is ... Encourage respectful and responsible student behavior through positive reinforcement and classroom ...

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Postdoctoral In Reinforcement Learning information

See Arnold, MO salary details

$22.1K

$52.3K

$73.9K

How much do postdoctoral in reinforcement learning jobs pay per year?

As of Sep 2, 2026, the average yearly pay for postdoctoral in reinforcement learning in Arnold, MO is $52,269.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,400.00 and $58,900.00 per year, depending on experience, location, and employer.

What is a postdoctoral researcher in reinforcement learning?

A Postdoctoral Researcher in Reinforcement Learning is an individual who has completed a PhD and conducts advanced research in the field of reinforcement learning, a branch of artificial intelligence focused on how agents take actions in environments to maximize rewards. These researchers often work in academic, industrial, or governmental research settings, collaborating on projects that advance the theoretical foundations or practical applications of reinforcement learning. Their responsibilities may include designing experiments, developing algorithms, publishing papers, and mentoring graduate students.

What are the key skills and qualifications needed to thrive as a postdoctoral researcher in reinforcement learning?

To thrive as a Postdoctoral Researcher in Reinforcement Learning, you need a PhD in computer science or a related field, with deep expertise in machine learning, statistics, and algorithm development. Proficiency in programming languages such as Python, experience with deep learning frameworks (e.g., TensorFlow or PyTorch), and familiarity with reinforcement learning libraries are typically required. Strong analytical thinking, problem-solving ability, collaboration, and scientific communication skills help you excel in research teams and publish impactful work. These competencies are vital to advancing state-of-the-art research, developing novel algorithms, and contributing to the academic and industrial progress in AI.

What are some common challenges faced by postdoctoral researchers in reinforcement learning, and how can they be addressed?

Postdoctoral researchers in reinforcement learning often face challenges such as balancing independent research projects with collaborative work, staying up-to-date with rapidly evolving literature, and managing the pressure to publish in top conferences. Effective time management, regular engagement with the research community through seminars and workshops, and seeking mentorship from senior colleagues can help address these challenges. Additionally, collaborating with interdisciplinary teams can offer fresh perspectives and support, making it easier to navigate complex research problems.

What is the difference between Postdoctoral In Reinforcement Learning vs Postdoctoral In Machine Learning?

AspectPostdoctoral In Reinforcement LearningPostdoctoral In Machine Learning
Required CredentialsPhD in Computer Science, AI, or related field; strong programming skills; research experience in reinforcement learningPhD in Computer Science, AI, or related field; strong programming skills; research experience in machine learning
Work EnvironmentAcademic labs, research institutions, industry R&D teams focused on reinforcement learning applicationsAcademic labs, research institutions, industry R&D teams working on various machine learning techniques
Industry UsagePrimarily in AI research, robotics, gaming, and autonomous systemsBroader applications including data analysis, predictive modeling, and AI research

Postdoctoral In Reinforcement Learning specializes in research related to decision-making algorithms and autonomous systems, whereas Postdoctoral In Machine Learning covers a wider range of AI techniques. Both roles require similar credentials but differ in focus and application areas.

What job categories do people searching Postdoctoral In Reinforcement Learning jobs in Arnold, MO look for?

The top searched job categories for Postdoctoral In Reinforcement Learning jobs in Arnold, MO are:

Postdoctoral In Reinforcement Learning jobs near you
Infographic showing various Postdoctoral In Reinforcement Learning job openings in Arnold, MO as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $52,269 per year, or $25.1 per hour.

Corporate Sales Training and Enablement Profe

Watchtower Security LLC

Maryland Heights, MO • On-site

Full-time

Posted 16 days ago

Job description


Watchtower Security is the nation's leading provider of all-inclusive, fully managed video surveillance solutions, exclusively dedicated to the multifamily housing industry. For over two decades, we have partnered with property management groups across the nation, empowering them to provide peace of mind to their communities.


As a rapidly growing and dynamic organization, we pride ourselves on a fast-paced, collaborative environment where innovation, critical thinking, and a commitment to excellence drive our success. We are seeking passionate individuals eager to contribute to a team that values strong communication, attention to detail, and a shared dedication to making a tangible difference in multi-family communities.


Watchtower is seeking a Corporate Sales Training and Enablement Professional to build and own the company's training and enablement program. This is not a training coordination role; it is a program leader mandate. The Director will design, operationalize, and sustain a full-cycle enablement system that accelerates new hire ramp and sales cycle from the current average to a new lower threshold.


Primary Responsibilities:

  • Enablement Charter and Roadmap
    • Define the mission, scope, and success metrics for Watchtower's enablement function from the ground up
    • Build a 12-18 month enablement roadmap aligned to Watchtower's sales headcount growth plan
    • Establish rules of engagement, RACI, and working cadence with Sales Leadership, RevOps, and HR
  • New Hire Onboarding Program 
    • Design and operationalize a structured 30/60/90-day onboarding program anchored to the Watchtower Sales Playbook, with clear milestones and a classroom-to-field progression
    • Build role-specific onboarding paths for Regional Sales Managers, National Sales Managers, and Customer Account Managers
    • Develop milestone-based checkpoints and certification gates to validate seller readiness before full territory assignment
    • Conduct train-the-trainer sessions to equip Watchtower's internal team to deliver and sustain the program independently


  • Sales Playbook Activation and Maintenance
    • Own ongoing activation and reinforcement of the Watchtower Sales Playbook across all GTM roles
    • Refresh playbook content as ICP, messaging, and competitive landscape evolve
    • Develop workshops, certification programs, and field reinforcement tools (call plans, pre-call briefs, opportunity review templates) to drive behavior change, not just content awareness
  • Ongoing Training and Skills Development
    • Build and deliver a sequenced, ongoing curriculum covering core selling skills: discovery, qualification, objection handling, competitive positioning, and negotiation
    • Leverage blended learning modalities: instructor-led, virtual, self-paced eLearning appropriate to a distributed, national sales team
    • Design and manage a Learning Management System (LMS) to house, track, and certify all program content
  • Manager Enablement and Coaching Cadence
    • Design a structured coaching playbook for frontline Sales Managers, defining cadence, format, and accountability mechanisms
    • Equip managers to deliver real-time, in-field coaching that reinforces onboarding and playbook content
    • Create monthly and quarterly manager enablement touchpoints tied to seller performance data
  • Measurement and Continuous Improvement
    • Define and own the enablement KPI dashboard: ramp-to-quota time, voluntary attrition by tenure cohort, win rate, quota attainment by cohort, and content adoption
    • Use CRM and call recording data (e.g., Gong) to identify patterns in high-performer behavior and close skill gaps across the team
    • Report program outcomes and ROI to Sales Leadership and PE sponsor on a quarterly basis


Qualifications:

  • 7+ years of progressive experience in sales enablement, revenue enablement, or sales leadership in a B2B environment with demonstrated ownership of a full enablement function (not just program delivery)
  • Proven success building onboarding programs that measurably reduced new hire ramp time and improved early-tenure retention
  • Experience working in or selling into complex, multi-stakeholder environments; property management, PropTech, or security software experience is a plus but not required
  • Direct experience with CRM platforms (Salesforce preferred), LMS tools, and modern sales enablement technology
  • Familiarity with at least one structured sales methodology (e.g., MEDDPICC, Challenger, Sandler, SPIN)
  • Strong facilitation skills. Comfortable leading sessions with competitive field sellers and executive stakeholders alike
  • Exceptional program management skills; ability to prioritize and deliver in a resource-constrained, fast-moving environment
  • Bachelor's degree in Business, Organizational Development, Communications, or a related field

Preferred Qualifications

  • Prior quota-carrying sales experience (AE, AM, or SDR). 
  • Experience operating in a growth environment with rapid headcount scaling
  • Familiarity with instructional design frameworks (ADDIE, Kirkpatrick) and adult learning theory
  • Professional certifications: CPTD (Certified Professional in Talent Development), ATD Training Certificate, or equivalent