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Postdoctoral In Reinforcement Learning Jobs in Arizona

IntraEdge

Architect

Phoenix, AZ

$63 - $83/hr

... or reinforcement learning. • Experience in working with large and complex data sets, and using cloud platforms, such as AWS, Azure, or Google Cloud. • Strong analytical, problem-solving ...

TSMC

Senior AI Model Fine-Tuning Engineer

Phoenix, AZ · On-site

$103K - $142K/yr

... Reinforcement Learning from Human Feedback (RLHF) and other behavioral fine-tuning methods to ... Required : • Bachelor's degree in Computer Science, Data Science, or a related field. • 5+ ...

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Postdoctoral In Reinforcement Learning information

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 are the key skills and qualifications needed to thrive as a Postdoctoral Researcher in Reinforcement Learning, and why are they important?

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 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.
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Postdoctoral In Reinforcement Learning jobs near you
Architect

Architect

IntraEdge

Phoenix, AZ

$63 - $83/hr

Contractor

Posted 7 days ago

Job description

Gen AI Architects are responsible for designing, AI systems that can transform the way we do business, serve customers, and manage risks. You will work with a multidisciplinary team of experts, including data scientists, engineers, analysts, and business stakeholders, to deliver AI solutions that are scalable, reliable, and ethical. You will also have the opportunity to learn from the best in the industry, and grow your skills and career in a fast-paced and dynamic environment. Responsibilities • Define the vision, strategy, and roadmap for AI solutions in the financial industry

• Design, develop, and deploy AI systems that can solve complex business problems and create value for customers and stakeholders. â€¢ Ensure the quality, performance, and security of AI systems, and adhere to the best practices and standards for AI development and deployment. • Collaborate with data scientists, engineers, analysts, and business stakeholders to understand the requirements, challenges, and opportunities for AI solutions. • Communicate the benefits, risks, and limitations of AI solutions to various audiences, and provide guidance and support for AI adoption and governance. â€¢ Research and evaluate new technologies, tools, and methods for AI development and deployment, and stay updated with the latest trends and developments in the field

Qualifications • Bachelor's degree or higher in computer science, engineering, mathematics, or related field. â€¢ At least 5 years of experience in AI development and deployment, preferably in the financial industry. • Proficient in one or more programming languages, such as Python, Java. â€¢ Proficient in LLMs and Vector Databases â€¢ Expertise in one or more AI frameworks, such as LangChain. â€¢ Knowledge of AI concepts, such as machine learning, deep learning, natural language processing, computer vision, or reinforcement learning. • Experience in working with large and complex data sets, and using cloud platforms, such as AWS, Azure, or Google Cloud. â€¢ Strong analytical, problem-solving, and communication skills

• Ability to work independently and collaboratively in a team.
Education:Employment Type: CONTRACTOR

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About IntraEdge

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At heart, we are a technology, products and services organization In our soul, it’s the people who make us what we are — the professionals we train and connect to next-level opportunities and the experts who create innovative solutions and value for our national and international partners. It’s true that innovative technology can provide a major boost to your business, but you also need the right talent pushing it forward. This critical combination is what we offer all of our partners: cutting edge tech solutions and the expertise to bring it to life.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chandler, AZ, US

Year founded

2002

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