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Senior Reinforcement Learning Jobs in Kentucky (NOW HIRING)

$160 - $210/hr

A solid track record of contributions or publications at top-tier machine learning venues (e.g., NeurIPS, ICML, KDD) with a specific focus on agentic frameworks, reinforcement learning, or data ...

$176 - $312/hr

... Senior Engineering Program Manager (EPM) to lead our AI evaluation framework at the forefront of ... Experience with reinforcement learning from human feedback (RLHF) and preference optimization.

$184 - $357/hr

As a Senior Software Engineer, NIM Tools, you will have the remarkable opportunity to build a ... LoRA, QLoRA, supervised fine-tuning (SFT), reinforcement learning (RL), preference optimization (e ...

New

$168 - $270/hr

Experience with reinforcement learning (RL) techniques and implementing continuous learning/online optimization systems for production. Strong understanding of the machine learning project lifecycle ...

New

$122 - $147/hr

Overview The Senior Manager, Audit Manager Training leads the design, delivery, and continuous ... reinforcement. * Champions innovation in learning delivery , including the responsible use of ...

New

$238 - $356/hr

Selected references to our prior work: (a) (b) (c) Description We are seeking a senior applied ... Reinforcement Learning, Multimodal Training, Pre-training / Post-training foundation models

New

$340 - $518/hr

## Senior Director - GenAI Data StrategyApplylocations: US, CA, Santa Claratime type: Full timeposted ... Lead the strategy for high-quality human data collection, including RLHF (Reinforcement Learning ...

$150 - $230/hr

Mentor senior and staff engineers, review designs, and grow the technical depth of the organization ... reinforcement learning. * Experience with simulation environments such as Isaac Sim, Gazebo, or ...

$250.80 - $376.30/hr

Strong engineering and R&D experience in LLM post-training, reinforcement learning for language ... senior executives and driving alignment across multiple organizations. * Passion for building ...

New

$220 - $292/hr

Background in machine learning as applied to planning and decision-making, including reinforcement learning, learned heuristics, and behavior prediction. * Ability to engineer robust systems for ...

$141 - $282/hr

... learning principles, reinforcement learning and related algorithms. The base salary range for the Software Engineer position is $141,463-$235,182 annually, and for the Senior Software Engineer ...

$140 - $190/hr

... a senior or lead architect role. Proven track record of designing and deploying large-scale Data ... Work Experience Experience with generative AI and reinforcement learning. Knowledge / Skills ...

$156 - $233/hr

You should be well‑versed in Transformer networks and NLP/LLM technologies, as well as other AI techniques like CNNs, RNNs, reinforcement learning, etc. Experience building and refining ...

New

$120 - $160/hr

Builds trust, respect and an engagement through communication and positive reinforcement to create ... Learning new tasks and completing tasks in situations that have a speed or productivity quota.

$210 - $240/hr

Mentor senior and staff engineers, review designs, and grow the technical depth of the organization ... reinforcement learning. * Experience with simulation environments such as Isaac Sim, Gazebo, or ...

$188 - $235/hr

Familiarity with advanced AI optimization techniques such as Direct Preference Optimization (DPO), Reinforcement Learning from Human Feedback (RLHF), model fine‑tuning, or preference learning.

$180 - $240/hr

As a senior member of the team, you will be at the forefront of innovation, working with the latest ... Demonstrated results training robot policies at scale, including reinforcement learning, imitation ...

$135 - $189/hr

Working alongside senior engineers, you will help build, test, and deploy the agents, knowledge ... Familiarity with reinforcement learning concepts or graph neural network applications * Interest or ...

New

$220 - $292/hr

... reinforcement learning alignment loops (RLHF/DPO) to guarantee model safety and predictability in ... Experience setting technical direction, leading complex system migrations, and mentoring senior ...

$164 - $215/hr

... reinforcement learning. * Develop rigorous evaluations that help us determine whether an experimental result is real, reproducible, and worth pursuing. * Work closely with more senior research and ...

Showing results 21-40

Senior Reinforcement Learning information

What does a senior reinforcement learning engineer do?

A Senior Reinforcement Learning Engineer designs, develops, and implements advanced machine learning algorithms that enable systems to learn optimal behaviors through trial and error. They work on complex problems such as robotics, game AI, recommendation systems, and automated decision-making. In addition to coding and model development, they often lead research initiatives, collaborate with cross-functional teams, and mentor junior engineers. Their role requires deep knowledge of reinforcement learning theory, practical experience with machine learning frameworks, and strong programming skills.

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

Senior Reinforcement Learning professionals often encounter challenges such as ensuring model robustness when transferring algorithms from simulated to real-world environments, handling limited or noisy data, and managing the computational demands of training complex models. Additionally, safety and interpretability are critical, as real-world deployments can have significant impacts if models behave unpredictably. Close collaboration with domain experts and engineering teams is essential to address these challenges and ensure successful, scalable deployments.

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

To thrive as a Senior Reinforcement Learning Engineer, you need deep expertise in machine learning, reinforcement learning algorithms, and programming languages such as Python, often supported by an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and RL-specific libraries, as well as experience with high-performance computing and cloud platforms, is typically required. Strong problem-solving abilities, collaboration, and communication skills help distinguish top performers in this role. These skills ensure the development of efficient, robust RL models and effective teamwork on complex AI projects.

What is the difference between Senior Reinforcement Learning vs Data Scientist?

AspectSenior Reinforcement LearningData Scientist
Required CredentialsAdvanced degrees in CS, ML, or related fields; experience with RL frameworksDegree in CS, Statistics, or related; strong analytical skills
Work EnvironmentResearch labs, AI teams, tech companies focusing on ML projectsBusiness analytics, data analysis, and modeling in various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, marketing, tech, and more

While both roles require strong analytical skills and technical knowledge, Senior Reinforcement Learning specialists focus on developing RL algorithms and models, often in AI research settings. Data Scientists analyze data to inform business decisions across industries. The roles overlap in data handling and programming but differ in their core focus and application areas.

What are the most commonly searched types of Reinforcement Learning jobs in Kentucky?

The most popular types of Reinforcement Learning jobs in Kentucky are:

What are popular job titles related to Senior Reinforcement Learning jobs in Kentucky?

For Senior Reinforcement Learning jobs in Kentucky, the most frequently searched job titles are:

What cities in Kentucky are hiring for Senior Reinforcement Learning jobs?

Cities in Kentucky with the most Senior Reinforcement Learning job openings:

Senior ML Engineer, Agentic AI

Jobzhr

On-site

$160 - $210/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago


Job description

Ellipsis Health is creating cutting-edge AI/ML products that solve healthcare staffing challenges and administrative burdens using conversational AI and our patented voice biomarker technology—helping deliver better healthcare for everyone. We are headquartered in Silicon Valley and are funded and supported by some of the most preeminent venture capital teams.

In this role, you will be a core contributor and technical leader within our AI Research & Engineering team. Operating at the sweet spot between cutting-edge scientific research and production-grade systems, you will drive the conceptualization, architecture, and deployment of frontier agentic systems. You will collaborate directly with core infrastructure and platform teams to translate algorithmic breakthroughs in LLMs and agentic AI into robust, secure, and low-latency clinical applications.

Responsibilities
  • Technical Leadership & Vision: Act as the technical authority for the Agentic AI roadmap, steering engineering pods from initial research prototyping through to production scale.
  • Advanced Agentic Architecture: Design, build, and optimize scalable systems and orchestration pipelines capable of deep multi-step reasoning, dynamic memory allocation, long-context evaluation, and high-fidelity tool utilization.
  • Research-to-Production Translation: Bridge the gap between frontier machine learning research and enterprise software design. Implement and adapt state-of-the-art techniques in post-training fine-tuning, preference alignment, and automated prompt optimization.
  • Rigorous Evaluation & Benchmarking: Architect and maintain multi-dimensional quantitative evaluation frameworks and continuous testing infrastructure. Implement state-of-the-art LLM-as-a-judge rubrics, and statistical tracking to evaluate agent capabilities and guarantee zero-regression product updates.
  • Data Mix Optimization: Develop and scale automated data curation pipelines to extract, filter, and structure user feedback signals, execution logs, and expert labels into ultra-high-quality training datasets for model fine-tuning.
  • Cross-Functional & Clinical Collaboration: Work closely within a highly matrixed, collaborative organization alongside clinical experts, product managers, and software engineers to ensure AI platforms operate safely and ground outputs in validated healthcare protocols.
  • Mentorship & Engineering Excellence: Foster a culture of technical rigor by setting high coding standards, leading design reviews, standardizing tooling, and mentoring other ML and software engineers across the team.
Minimum Qualifications
  • Bachelor’s degree in Computer Science, Machine Learning, Statistics, Engineering, or equivalent practical experience.
  • 5+ years of practical software development experience with a heavy emphasis on product design, core system architecture, and shipping scalable software platforms (or 2+ years of post-PhD industry experience in a dedicated AI research/engineering role).
  • Advanced programming proficiency in Python and deep hands‑on expertise with distributed machine learning or deep learning frameworks (e.g., PyTorch, JAX, or TensorFlow).
  • Proven track record of architecting, implementing, and deploying complex LLM-powered applications, multi-agent orchestrations, or autonomous systems in a production environment.
Preferred Qualifications
  • Master’s degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative technical field.
  • 8+ years of industry experience specializing in advanced data structures, algorithms, distributed systems, and heavy‑duty scalable ML infrastructure.
  • 3+ years of technical leadership experience, including leading complex technical project workstreams, defining organizational engineering directions, or directly mentoring technical talent.
  • Experience working within complex, highly collaborative matrixed organizations on high-acuity, deeply regulated technical integrations (e.g., healthcare, fintech, or aerospace).
  • Research Excellence: A solid track record of contributions or publications at top-tier machine learning venues (e.g., NeurIPS, ICML, KDD) with a specific focus on agentic frameworks, reinforcement learning, or data benchmark.
Salary And Benefits

We offer competitive salary and benefits, including 401(k) matching, health, vision, and dental insurance, and very flexible paid time off.

The typical salary range for this role is $160,000 to $210,000 USD, depending on skills, qualifications, and relevant experience.

Background Checks

As a health technology company, we reserve the right to run background checks on candidates to whom we extend offers, in compliance with applicable laws. We evaluate candidates holistically and comply with all “ban the box” regulations.

Assistance

If you have a disability or require accommodations during the application or recruitment process, please contact careers@ellipsishealth.com.

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