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Helper Reinforcement Learning Jobs in New York (NOW HIRING)

As (Senior) AI Scientist (m/f/d) you'll help push the reasoning core of our proprietary system, our ... Develop simulation environments and reinforcement learning, planning and control methods, for ...

As (Senior) AI Scientist (m/f/d) you'll help push the reasoning core of our proprietary system, our ... Develop simulation environments and reinforcement learning, planning and control methods, for ...

We are looking for a Principal AI Scientist to help launch our AI research program. You will be ... The researcher in this role will work hands-on to develop and publish new reinforcement learning ...

We are looking for a Principal AI Scientist to help launch our AI research program. You will be ... The researcher in this role will work hands-on to develop and publish new reinforcement learning ...

... reinforcement learning • Explore and develop novel LLM post-training recipes using 3D data • ... People who choose to build their careers by building with us at Meta help shape a future that will ...

We're hiring a Research Intern to help us answer a question no one has answered yet: how do you ... into reinforcement learning environments, designing reward signals for ambiguous, long-horizon ...

Research Intern

New York, NY · On-site

$300K - $500K/yr

We're hiring a Research Intern to help us answer a question no one has answered yet: how do you ... into reinforcement learning environments, designing reward signals for ambiguous, long-horizon ...

Founding Engineer

New York, NY · On-site

$150K - $220K/yr

... help defense and medical device engineering firms move at the speed of software. You will set the ... Experience with reinforcement learning or fine-tuning in production systems. * Prior work in ...

Founding Engineer

New York, NY · Remote

$150K - $220K/yr

... help defense and medical device engineering firms move at the speed of software. You will set the ... Experience with reinforcement learning or fine-tuning in production systems. * Prior work in ...

Explore and develop novel post-training paradigms for LLMs using reinforcement learning * Explore ... Meta builds technologies that help people connect, find communities, and grow businesses. When ...

Showing results 21-40

Helper Reinforcement Learning information

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

AspectHelper Reinforcement LearningData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; knowledge of reinforcement learningDegree in Data Science, Statistics, Computer Science; proficiency in programming and analytics
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness analytics, research, consulting firms, tech companies
Industry UsageAI development, machine learning projectsData analysis, predictive modeling, business insights
Common Search/ComparisonHelper Reinforcement Learning vs Data Scientist

Helper Reinforcement Learning focuses on developing algorithms that enable machines to learn through interactions, often requiring knowledge of reinforcement learning techniques. Data Scientists analyze data to extract insights, build models, and support decision-making. While both roles involve programming and data handling, Helper Reinforcement Learning is more specialized in AI algorithm development, whereas Data Scientists work broadly across data analysis and modeling in various industries.

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

The most popular types of Reinforcement Learning jobs in New York are:

What cities in New York are hiring for Helper Reinforcement Learning jobs?

Cities in New York with the most Helper Reinforcement Learning job openings:

Infographic showing various Helper Reinforcement Learning job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

AI Research Scientist - Intern [2027 Summer]

Two Sigma Investments, LP

New York, NY • On-site

$5.5K/wk

Temporary, Internship

Medical, Dental, Retirement

Re-posted 3 days ago


Job description

AI Research Scientist - Intern [2027 Summer]
Location
NY New York
United States
Business
Investment Management
Function
Quantitative Research
Experience Level
Internship
Share this job
Position Summary
Two Sigma is a financial sciences company, combining data analysis, invention, and rigorous inquiry to help solve the toughest challenges in investment management, securities, private equity, and venture capital.
Our team of scientists, technologists, and academics looks beyond the traditional to develop creative solutions to some of the world's most complex economic problems.
We are looking for creative experts who are interested in applying general Machine Learning and specifically Deep Learning, Large Language Models, and Reinforcement Learning techniques to many types of problems in complex systems, and particularly those with large amounts of noisy data.
This role is only open to MS with work experience and PhDs, both in their penultimate year of study.
You will take on the following responsibilities:
  • Develop effective techniques and/or infrastructure for a specific project/idea under guidance of an experienced member of the team over a time of roughly 10 weeks during the summer
  • In our research environment, you will write code, use the latest AI and machine learning tools, run experiments, discuss approaches and results with others, and generally develop techniques and processes to help improve our understanding of how financial data influences the world around us

You should possess the following qualifications:
  • Working towards a degree in Computer Science, Engineering, or other STEM field, preferably in a PhD program, or in a Master's program with some prior work experience
  • Excellent programming skills in Python (familiarity with Rust/Java is a plus) and deep knowledge of Tensorflow and/or PyTorch
  • Internships/work/course experience using Deep Learning, LLMs and/or Reinforcement Learning
  • Preferably practical experience writing and using data pipelines to handle large amounts of noisy data for machine learning problems
  • Preferably some relevant research experience (that may have led to publications at NeurIPS, ICML, ICLR or similar)
  • Understanding of basic statistics
  • Experience with cloud computing environments and multi-machine setups
  • Curiosity and interest in learning about financial data modeling in a collaborative environment

The weekly base pay for this role will be between $5,000/Week (MS) and $5,500/Week (PhD) based on academic degree conferred. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans and 401(k) contributions. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.
We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.