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Algorithm Research Jobs in Kentucky (NOW HIRING)

$150 - $190/hr

You will invent and analyze RL algorithms--policy optimization, preference-based methods ... Research and develop RL methods for post-training LLMs and code models on structured engineering ...

Posted today

$500 - $850/hr

As a Research Engineer on the team, you\'ll build and improve the core platform that underpins how ... Are comfortable operating across the stack, from low-level performance work to RL algorithms * Have ...

$140 - $210/hr

We have a track record of success in deploying AI algorithms for histopathology in translational research, pathology labs and clinical trials. Rigorous science and careful analysis is critical to the ...

$110 - $170/hr

Help establish best practices for algorithm validation, data management, reproducible research, and scientific software development. Required qualifications * PhD in Physics, Applied Physics ...

New

$104 - $186/hr

... algorithms but is expected to serve as the domain expert in high-throughput phenotyping ... Provide research support and deliver high-quality results by formulating an efficient analytical ...

Posted today

$152 - $288/hr

Partner with the Data Science team on algorithm design, prototype evaluation, and translating research findings into platform requirements**What we need to see:*** A BS (or equivalent experience) and ...

New

$184 - $357/hr

Partner directly with research to design, implement, and evaluate novel algorithms for robot learning. Driving technical architecture, setting evaluation standards, and cross-team leadership between ...

Posted today

$120 - $180/hr

Conduct applied machine learning research using large-scale, real-world financial datasets * Develop novel modeling techniques and adapt state-of-the-art algorithms to unique challenges in ...

New

$132 - $198/hr

D. in Computer Science, Applied Mathematics, Operations Research, or a closely related quantitative field. * Familiarity with or a strong interest in quantum optimization algorithms, quantum ...

New

$150 - $200/hr

Grow firm profitability by influencing the development of trading algorithms and researching options pricing signals. * Define microstructure research initiatives and shape research infrastructure.

New

$180 - $300/hr

Description Our Algorithmic Traders use their expert understanding of the financial markets and ... Manage a small group of dynamic Junior Traders and guide research and trading software development ...

New

$180 - $260/hr

Our Algorithm Discovery Platform brings together biology, computational neuroscience, AI research and software engineering to develop new algorithms, architectures and neurally-optimized software for ...

Posted today

$73 - $121/hr

... level algorithm development to customer-facing features. Day to day, that means writing and ... You'll research what users actually need, translate those needs into well-scoped work, and ...

Posted today

$216 - $394/hr

Lead cross-functional initiatives that turn computer vision research into production-ready features. * Make architecture decisions that balance algorithm performance against imaging pipeline, system ...

New

$275 - $412/hr

Proficiency in optimizing algorithms for compute-constrained systems * Experience with CUDA or other hardware acceleration technologies (e.g. FPGAs) * Proven track record of transitioning from R&D to ...

New

$86 - $139/hr

Conduct advanced research in computational science, including developing new algorithms, models, or simulations to address complex scientific problems. Enhance and expand algorithms and software to ...

Posted today

$180 - $240/hr

... algorithms, and experience training models using scikit-learn, xgboost, PyTorch/Tensorflow ... Published research in reputable security and machine learning journals or presented findings at ...

$150 - $235/hr

Lead research and development of advanced algorithms for OPIR and EO/IR remote sensing systems, with emphasis on target detection, tracking, location, and characterization. * Design, implement, and ...

New

$132 - $189/hr

Proficiency in programming computational and statistical algorithms for large data sets. * Track record in demonstrating command of research questions within a given domain, and of technical tools ...

$140 - $210/hr

Research, design, and implement machine learning algorithms to optimize workflow automation. * Develop, test, and modify computer programs to apply machine learning models to real-world applications.

Showing results 41-60

Algorithm Research information

What is algorithm research?

Algorithm research involves studying, designing, analyzing, and optimizing algorithms to solve complex problems efficiently. Researchers in this field explore new computational methods, improve existing algorithms, and evaluate their performance in various contexts. This work is fundamental in areas like computer science, artificial intelligence, data science, and cryptography, driving technological advances and innovation.

What are the key skills and qualifications needed to thrive as an algorithm researcher?

To excel as an Algorithm Researcher, you need a strong background in mathematics, computer science, and algorithm design, often supported by an advanced degree such as a master's or PhD. Proficiency with programming languages (like Python, C++, or Java), machine learning frameworks, and version control systems is essential. Analytical thinking, creativity, and effective communication are crucial soft skills that set top performers apart in this field. These skills are vital for developing innovative, efficient solutions and collaborating within interdisciplinary teams to solve complex computational problems.

What are the typical challenges faced by professionals in algorithm research roles and how can they best address them?

Algorithm Research professionals often encounter challenges such as bridging the gap between theoretical solutions and practical implementation, staying updated with rapid advancements in the field, and collaborating with cross-functional teams to integrate research outcomes into real-world products. To address these challenges, it is helpful to maintain strong communication with engineering teams, participate in continual learning through academic papers and conferences, and adopt an iterative approach to testing and refining algorithms. Building a habit of documenting experiments and results also streamlines collaboration and future development.

What is the difference between Algorithm Research vs Data Scientist?

AspectAlgorithm ResearchData Scientist
Required CredentialsAdvanced degrees in CS, Mathematics, or related fieldsDegree in CS, Statistics, or related fields; certifications like SAS or Python
Work EnvironmentResearch labs, R&D departments, academiaBusiness environments, analytics teams, tech companies
Industry UsageDeveloping new algorithms, theoretical researchAnalyzing data, building predictive models, insights generation
Common Search/ComparisonYesNo

Algorithm Research focuses on developing and testing new algorithms, often in research or academic settings, requiring advanced technical credentials. Data Scientists analyze data to generate insights and build models, working primarily in business environments. While both roles involve data and programming, their core objectives and work settings differ significantly.

What are popular job titles related to Algorithm Research jobs in Kentucky?

For Algorithm Research jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Algorithm Research jobs in Kentucky look for?

The top searched job categories for Algorithm Research jobs in Kentucky are:

What cities in Kentucky are hiring for Algorithm Research jobs?

Cities in Kentucky with the most Algorithm Research job openings:

Infographic showing various Algorithm Research job openings in Kentucky as of June 2026, with employment types broken down into 100% Full Time. Highlights an 79% In-person, 7% Hybrid, and 14% Remote job distribution.

AI Research Scientist, Reinforcement Learning (LLM) and Post-Training

Advanced Micro Devices

On-site

$150 - $190/hr

Other

Posted 23 hours ago

Posted today


Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

27th of 159 rated electronics manufacturers


Job description

ADVANCE YOUR CAREER. ADVANCE THE WORLD.

At AMD, we believetechnology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shapingthefuture.

Whetheryou’redesigning next-gen processors, enabling AI breakthroughs, orbringing leading edge products to market, every role at AMD contributes to something bigger— technologythat moves the world forward.Join us and, together, we’ll advance your career.

THE ROLE:

We are hiring a AI Research Scientist, Reinforcement Learning (LLM) and Post-Training, specializing in reinforcement learning to advance post-training and interactive learning for large generative models applied to demanding engineering and hardware-adjacent tasks (code, optimization, tool use, and long-horizon decision making). You will invent and analyze RL algorithms—policy optimization, preference-based methods, exploration, credit assignment, and reward modeling—run rigorous empirical studies, and partner with infra and product teams to land methods that improve measurable task success without sacrificing stability or safety.

THE PERSON:

You publish and ship. You are fluent in both RL theory and the practical path from ablation to production-scale training. You care about reward misspecification, variance reduction, and evaluation that reflects real constraints—not only toy environments.

KEY RESPONSIBILITIES:
  • Research and develop RL methods for post-training LLMs and code models on structured engineering tasks with verifiable or preference-based feedback
  • Design reward models, curricula, and off-policy or on-policy training recipes suited to sparse, noisy, or expensive labels from experts and simulators
  • Characterize failure modes (reward hacking, degenerate policies, instability) and propose mitigations grounded in experiments
  • Collaborate with RL infra engineers to scale training; define interfaces for rollout generation, logging, and reproducibility
  • Publish at top venues (e.g. NeurIPS, ICML, ICLR) and contribute internal technical leadership on the RL roadmap
PREFERRED EXPERIENCE:
  • Strong publication record in reinforcement learning or closely related machine learning areas.
  • Hands-on experience training RL or preference-optimized models at non-trivial scale (GPUs, distributed jobs)
  • Experience with LLM post-training, RLHF/RLAIF, or policy optimization for language or code agents
  • Familiarity with compilers, kernels, EDA-style workflows, or large-scale codebases is a plus
ACADEMIC CREDENTIALS:
  • PhD in Computer Science, Machine Learning, or related field strongly preferred.

#LI-BM1

#LI-Hybrid

Benefits offered are described: AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

This posting is for an existing vacancy.

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