RESEARCH SCHOLAR
New York, NY · On-site
$27/hr
Candidates will be responsible for working with lab's PhD students or postdoc on mechatronics ... Develop and evaluate models in machine learning and reinforcement learning * Publish papers in top ...
RESEARCH SCHOLAR
New York, NY · On-site
$27/hr
Candidates will be responsible for working with lab's PhD students or postdoc on mechatronics ... Develop and evaluate models in machine learning and reinforcement learning * Publish papers in top ...
Machine Learning Engineer, Next-Generation Recommendation Systems New York, NY, USA View role
Manhattan, NY · On-site
$127.40 - $191.20/hr
Strong research foundations in one or more of: recommendation systems, reinforcement learning, LLM post-training or alignment, human-AI collaboration, probabilistic modeling, or optimization.
Machine Learning Engineer, Next-Generation Recommendation Systems New York, NY, USA View role
Manhattan, NY · On-site
$127.40 - $191.20/hr
Strong research foundations in one or more of: recommendation systems, reinforcement learning, LLM post-training or alignment, human-AI collaboration, probabilistic modeling, or optimization.
Remote | Machine Learning Research Engineer $55-$85/hour
Manhattan, NY · On-site +1
$55 - $85/hr
... reinforcement learning concepts, including reward functions and policy trainingExperience in AI training, model evaluation, or benchmark developmentBackground authoring technical tasks, reference ...
Remote | Machine Learning Research Engineer $55-$85/hour
Manhattan, NY · On-site +1
$55 - $85/hr
... reinforcement learning concepts, including reward functions and policy trainingExperience in AI training, model evaluation, or benchmark developmentBackground authoring technical tasks, reference ...
Senior Machine Learning Engineer - Ads Predictions
New York, NY · On-site
$134K - $176K/yr
You'll also explore and operationalize emerging techniques in Large Language Models (LLMs), Reinforcement Learning, and representation learning to advance Apple's ad prediction systems. Minimum ...
Senior Machine Learning Engineer - Ads Predictions
New York, NY · On-site
$134K - $176K/yr
You'll also explore and operationalize emerging techniques in Large Language Models (LLMs), Reinforcement Learning, and representation learning to advance Apple's ad prediction systems. Minimum ...
Remote | Machine Learning Research Engineer $55-$85/hour
Manhattan, NY · On-site +1
$55 - $85/hr
... reinforcement learning concepts, including reward functions and policy trainingExperience in AI training, model evaluation, or benchmark developmentBackground authoring technical tasks, reference ...
Remote | Machine Learning Research Engineer $55-$85/hour
Manhattan, NY · On-site +1
$55 - $85/hr
... reinforcement learning concepts, including reward functions and policy trainingExperience in AI training, model evaluation, or benchmark developmentBackground authoring technical tasks, reference ...
Applied AI ML Director Machine Learning Center of Excellence
Manhattan, NY · On-site
$150 - $200/hr
Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal #J-18808-Ljbffr
Applied AI ML Director Machine Learning Center of Excellence
Manhattan, NY · On-site
$150 - $200/hr
Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal #J-18808-Ljbffr
Required : • Have an MS/PhD in Computer Science, ML, or related field, or equivalent experience. • Have a track record of effective RL work. • Are motivated by impact in critical industries ...
Required : • Have an MS/PhD in Computer Science, ML, or related field, or equivalent experience. • Have a track record of effective RL work. • Are motivated by impact in critical industries ...
Postdoctoral Fellow-MSH-13400-335
Manhattan, NY · On-site
$53K - $73K/yr
... York is seeking a Postdoctoral Fellow with a strong interest and expertise in neuroimaging ... underlying deficits in motivation, reinforcement learning and inhibitory control in ...
Postdoctoral Fellow-MSH-13400-335
Manhattan, NY · On-site
$53K - $73K/yr
... York is seeking a Postdoctoral Fellow with a strong interest and expertise in neuroimaging ... underlying deficits in motivation, reinforcement learning and inhibitory control in ...
Machine Learning Specialist
New York, NY · On-site
... in one or more of the following Machine Learning areas/tasks: deep learning, representation learning, zero- or few-shot learning, active learning, reinforcement learning, natural language processing ...
Machine Learning Specialist
New York, NY · On-site
... in one or more of the following Machine Learning areas/tasks: deep learning, representation learning, zero- or few-shot learning, active learning, reinforcement learning, natural language processing ...
Machine Learning Specialist
New York, NY · On-site
... in one or more of the following Machine Learning areas/tasks: deep learning, representation learning, zero- or few-shot learning, active learning, reinforcement learning, natural language processing ...
Machine Learning Specialist
New York, NY · On-site
... in one or more of the following Machine Learning areas/tasks: deep learning, representation learning, zero- or few-shot learning, active learning, reinforcement learning, natural language processing ...
Machine Learning Specialist
New York, NY · On-site
... in one or more of the following Machine Learning areas/tasks: deep learning, representation learning, zero- or few-shot learning, active learning, reinforcement learning, natural language processing ...
Quick apply
Machine Learning Specialist
New York, NY · On-site
... in one or more of the following Machine Learning areas/tasks: deep learning, representation learning, zero- or few-shot learning, active learning, reinforcement learning, natural language processing ...
Senior/Principal Machine Learning Scientist, Structure and Simulation (AI for Drug Discovery)
Manhattan, NY · On-site
$141.30 - $274.40/hr
Overview We are developing models to drive a step‑change in machine learning for drug discovery ... Familiarity with modern machine learning research areas like reinforcement learning, sampling, and ...
Senior/Principal Machine Learning Scientist, Structure and Simulation (AI for Drug Discovery)
Manhattan, NY · On-site
$141.30 - $274.40/hr
Overview We are developing models to drive a step‑change in machine learning for drug discovery ... Familiarity with modern machine learning research areas like reinforcement learning, sampling, and ...
Knowledge in search/ranking, Reinforcement Learning or Meta Learning * Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale ...
Knowledge in search/ranking, Reinforcement Learning or Meta Learning * Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale ...
Knowledge in search/ranking, Reinforcement Learning or Meta Learning * Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale ...
Knowledge in search/ranking, Reinforcement Learning or Meta Learning * Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale ...
Knowledge in search/ranking, Reinforcement Learning or Meta Learning * Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale ...
Knowledge in search/ranking, Reinforcement Learning or Meta Learning * Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale ...
Applied AI ML Director Machine Learning Center of Excellence
Manhattan, NY · On-site
$223K - $325K/yr
Knowledge in search/ranking, Reinforcement Learning or Meta Learning * Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale ...
Applied AI ML Director Machine Learning Center of Excellence
Manhattan, NY · On-site
$223K - $325K/yr
Knowledge in search/ranking, Reinforcement Learning or Meta Learning * Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale ...
AI Researcher
Manhattan, NY · On-site
As an AI Researcher, you will train intelligent AI agents for root cause analysis in high-pressure environments, leading research in areas like LLM fine-tuning and deep reinforcement learning.
AI Researcher
Manhattan, NY · On-site
As an AI Researcher, you will train intelligent AI agents for root cause analysis in high-pressure environments, leading research in areas like LLM fine-tuning and deep reinforcement learning.
Applied AIML & Gen AI Executive Director - Machine Learning Center of Excellence
Manhattan, NY · On-site
Knowledge in search/ranking, Reinforcement Learning or Meta Learning * Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale ...
Applied AIML & Gen AI Executive Director - Machine Learning Center of Excellence
Manhattan, NY · On-site
Knowledge in search/ranking, Reinforcement Learning or Meta Learning * Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale ...
Knowledge in search/ranking, Reinforcement Learning or Meta Learning * Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale ...
Knowledge in search/ranking, Reinforcement Learning or Meta Learning * Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale ...
Knowledge in search/ranking, Reinforcement Learning or Meta Learning * Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale ...
Knowledge in search/ranking, Reinforcement Learning or Meta Learning * Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale ...
Postdoctoral In Reinforcement Learning information
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?
| Aspect | Postdoctoral In Reinforcement Learning | Postdoctoral In Machine Learning |
|---|---|---|
| Required Credentials | PhD in Computer Science, AI, or related field; strong programming skills; research experience in reinforcement learning | PhD in Computer Science, AI, or related field; strong programming skills; research experience in machine learning |
| Work Environment | Academic labs, research institutions, industry R&D teams focused on reinforcement learning applications | Academic labs, research institutions, industry R&D teams working on various machine learning techniques |
| Industry Usage | Primarily in AI research, robotics, gaming, and autonomous systems | Broader 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 popular job titles related to Postdoctoral In Reinforcement Learning jobs in New York?
For Postdoctoral In Reinforcement Learning jobs in New York, the most frequently searched job titles are:
What job categories do people searching Postdoctoral In Reinforcement Learning jobs in New York look for?
The top searched job categories for Postdoctoral In Reinforcement Learning jobs in New York are:
What cities in New York are hiring for Postdoctoral In Reinforcement Learning jobs?
Cities in New York with the most Postdoctoral In Reinforcement Learning job openings:
$27/hr
Full-time, Part-time
Re-posted 5 days ago
New York University rating
8.5
Based on 46 frontline employees who took The Breakroom Quiz
82nd of 621 rated colleges and universities
Job description
Description
Part-Time Research Scholar
Biomedical Engineering
New York University
Biomechatronics and Intelligent Robotics Lab led by Prof. Hao Su (http://haosu-robotics.github.io) at NYU Tandon School of Engineering is seeking to hire a Part Time Research Scholar (Non-PhD) to work on mechatronics design, control, and reinforcement learning for wearable robots, surgical robots, and humanoid robots.
New York University (NYU) is one of the top private universities in the United States, and the Tandon School of Engineering, located in Brooklyn, NY, is deeply committed to excellence in teaching and learning. NYU Tandon fosters innovation and entrepreneurship that make a difference in the world. The Biomedical Engineering department is at the center of a high-tech start-up culture where student and faculty innovation and entrepreneurship activities are supported and nurtured both in New York City, Brooklyn and across the NYU Global Network University. NYU Tandon Biomedical Engineering department leads multidisciplinary centers in medical imaging and data analysis, tissue engineering and regenerative medicine, synthetic and systems bioengineering, robotic and rehabilitation engineering, nano- and micro-bioengineering, neuro-engineering, and cell and immuno-bioengineering. Biomechatronics and Intelligent Robotics Lab focuses on use-inspired fundamental research, publishes high-caliber papers in Nature, Science Robotics, Nature Machine Intelligence, IEEE Transactions on Robotics, IEEE/ASME Transactions on Mechatronics, etc., and offers entrepreneurship opportunities.
Expectations:
Candidates will be responsible for working with lab's PhD students or postdoc on mechatronics design, reinforcement learning-based robot controller development, conducting experiments and data processing.
The candidates will be expected to:
The successful candidate will have a demonstrated background in one or more of the following areas, soft robots, legged robots, mechanism design and machine design, actuator design, electric motors, motor controller, embedded system, electronics, firmware, biomechanics, IMU sensors, Nvidia Isaac Gym, Simulator, as exemplified by a strong publication record.
Expected start date and period of employment
Expected start date is immediately. This position is expected to be for 6 months.
Salary
In compliance with NYC's Pay Transparency Act, the hourly rate for this position is $27.00 per hour for up 20 hours per week. New York University considers factors such as (but not limited to) the specific funding source and the terms.
Tandon faculty and students are at the forefront of the high-tech start-up culture in New York City and have access to NYU's Global Network University. The NYU Tandon School of Engineering is deeply committed to excellence in teaching and learning. Tandon fosters student and faculty innovation and entrepreneurship that make a difference in the world.
Qualifications
We are looking for candidate with a B.S. and/or M.S. degree in electrical, biomedical, mechanical, computer, or aerospace engineering or mathematics or computer science. The successful candidate will be driven, creative and team-oriented with excellent writing and programming skills in MATLAB, Python, or R and training in statistical signal processing, machine learning, and capability in applying various mathematical algorithms for biomedical engineering applications, and prepared for conducting human subject research including physiological health data collection and subsequent data analysis.
Application Instructions
Applicants should submit a cover letter, a current CV and a list of three references with complete contact information. All application materials should be submitted electronically via Interfolio and to: hao.su@nyu.edu and su.lab.robotics@gmail.com.
Review of applications will begin as soon as possible and will continue until the position is filled.
Part-Time Research Scholar
Biomedical Engineering
New York University
Biomechatronics and Intelligent Robotics Lab led by Prof. Hao Su (http://haosu-robotics.github.io) at NYU Tandon School of Engineering is seeking to hire a Part Time Research Scholar (Non-PhD) to work on mechatronics design, control, and reinforcement learning for wearable robots, surgical robots, and humanoid robots.
New York University (NYU) is one of the top private universities in the United States, and the Tandon School of Engineering, located in Brooklyn, NY, is deeply committed to excellence in teaching and learning. NYU Tandon fosters innovation and entrepreneurship that make a difference in the world. The Biomedical Engineering department is at the center of a high-tech start-up culture where student and faculty innovation and entrepreneurship activities are supported and nurtured both in New York City, Brooklyn and across the NYU Global Network University. NYU Tandon Biomedical Engineering department leads multidisciplinary centers in medical imaging and data analysis, tissue engineering and regenerative medicine, synthetic and systems bioengineering, robotic and rehabilitation engineering, nano- and micro-bioengineering, neuro-engineering, and cell and immuno-bioengineering. Biomechatronics and Intelligent Robotics Lab focuses on use-inspired fundamental research, publishes high-caliber papers in Nature, Science Robotics, Nature Machine Intelligence, IEEE Transactions on Robotics, IEEE/ASME Transactions on Mechatronics, etc., and offers entrepreneurship opportunities.
Expectations:
Candidates will be responsible for working with lab's PhD students or postdoc on mechatronics design, reinforcement learning-based robot controller development, conducting experiments and data processing.
The candidates will be expected to:
- Conduct mechatronic system design, integration, and testing
- Develop and evaluate models in machine learning and reinforcement learning
- Publish papers in top robotics and AI conferences and journals
- Collect and process data from human experiments and sensor measurements
- Conduct human-subject experiments in medical robot applications
The successful candidate will have a demonstrated background in one or more of the following areas, soft robots, legged robots, mechanism design and machine design, actuator design, electric motors, motor controller, embedded system, electronics, firmware, biomechanics, IMU sensors, Nvidia Isaac Gym, Simulator, as exemplified by a strong publication record.
Expected start date and period of employment
Expected start date is immediately. This position is expected to be for 6 months.
Salary
In compliance with NYC's Pay Transparency Act, the hourly rate for this position is $27.00 per hour for up 20 hours per week. New York University considers factors such as (but not limited to) the specific funding source and the terms.
Tandon faculty and students are at the forefront of the high-tech start-up culture in New York City and have access to NYU's Global Network University. The NYU Tandon School of Engineering is deeply committed to excellence in teaching and learning. Tandon fosters student and faculty innovation and entrepreneurship that make a difference in the world.
Qualifications
We are looking for candidate with a B.S. and/or M.S. degree in electrical, biomedical, mechanical, computer, or aerospace engineering or mathematics or computer science. The successful candidate will be driven, creative and team-oriented with excellent writing and programming skills in MATLAB, Python, or R and training in statistical signal processing, machine learning, and capability in applying various mathematical algorithms for biomedical engineering applications, and prepared for conducting human subject research including physiological health data collection and subsequent data analysis.
Application Instructions
Applicants should submit a cover letter, a current CV and a list of three references with complete contact information. All application materials should be submitted electronically via Interfolio and to: hao.su@nyu.edu and su.lab.robotics@gmail.com.
Review of applications will begin as soon as possible and will continue until the position is filled.
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Benefits
Hours and flexibility
Workplace
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About New York University
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Since its founding in 1831, NYU has been an innovator in higher education, reaching out to an emerging middle class, embracing an urban identity and professional focus, and promoting a global vision that informs its 20 schools and colleges. Today, that trailblazing spirit makes NYU one of the most prominent and respected research universities in the world, featuring top-ranked academic programs and accepting fewer than one in eight undergraduates. Anchored in New York City and with degree-granting campuses in Abu Dhabi and Shanghai as well as 12 study away sites throughout the world, NYU is a leader in global education, with more international students and more students studying abroad than any other US university.
Industry
Colleges, universities, and professional schools
Company size
10,000+ Employees
Headquarters location
New York, NY, US
Year founded
1831