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Helper Reinforcement Learning Jobs in New York (NOW HIRING)

Preferred * Expertise in Reinforcement Learning (RL) . * Experience with Meta-Learning ... For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily.

ML Infrastructure Engineer, Fauna

New York, NY · On-site

$117K - $154K/yr

You'll bring deep expertise in reinforcement learning, computer vision, and supervised learning ... At Fauna, you'll work at the frontier of this space, helping define how robots move, manipulate ...

Lead, Machine Learning Engineer

Newark, NJ · On-site

$107K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural ... As you put your skills to use, we'll help you make an even bigger impact with learning experiences ...

Lead, Machine Learning Engineer

Newark, NJ

$107K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural ... As you put your skills to use, we'll help you make an even bigger impact with learning experiences ...

ML Infrastructure Engineer, Fauna

New York, NY · On-site

$117K - $154K/yr

You'll bring deep expertise in reinforcement learning, computer vision, and supervised learning ... At Fauna, you'll work at the frontier of this space, helping define how robots move, manipulate ...

Senior AI Engineer

Manhattan, NY · On-site

$115K - $158K/yr

... in machine learning, deep learning, and generative algorithms, you will help advance our ... Expertise in generative models, neural networks, and reinforcement learning. Advanced degree (Ph.D ...

Applied Scientist

Newark, NJ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... NLP), Reinforcement Learning (RL), real-time and distributed systems. ABOUT YOU Your work will ... help/guide science decisions. We work in a highly collaborative, fast-paced environment where ...

Robotics/AI Motor Control Scientist, Fauna

New York, NY · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Key job responsibilities - Develop controllers that leverage reinforcement learning, imitation ... At Fauna, you'll work at the frontier of this space, helping define how robots move, manipulate ...

Senior Applied Scientist I

New York, NY · On-site +1

$183K - $216K/yr

Ranking, Reinforcement Learning, LLM and Deep Learning! This is a full-time position reporting to ... Qualities that will help you thrive in this role are: * You have a successful track record of ...

Showing results 41-60

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.

Research Engineer - MSL FAIR Foundations

Meta

New York, NY

$154K/yr

Full-time

Re-posted 10 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

137th of 245 rated software companies


Job description

Meta is seeking Research Engineers to join the Evaluations team within Meta Superintelligence Labs. Evaluations are the core of AI progress at MSL, determining what capabilities get built, which features get prioritized, and how fast our models improve. As a Research Engineer on this team, you will curate and build the benchmarks for our most advanced AI models, across text, vision, audio, and beyond. You'll work alongside world-class researchers and engineers to collect, develop, and deploy novel benchmarks and reinforcement learning environments.This is a highly technical role requiring solid research engineering skills and the ability to work independently on a variety of open-ended machine learning challenges with high reliability. The evaluations you build will directly impact the research direction and major model lines within MSL, making engineering reliability, rigor, and scalability paramount. You will excel by maintaining high velocity while adapting to rapidly shifting priorities as we advance the technical research frontier. You'll need to be flexible and adaptive, tackling a wide variety of problems in the evaluations space, from implementing existing benchmarks to developing novel benchmarks and environments to implementing evaluation tooling at scale.If you are passionate about defining the capabilities that drive AI progress and thrive in fast-paced, high-impact research environments, we encourage you to apply for this exciting opportunity at the core of MSL.
Research Engineer - MSL FAIR Foundations Responsibilities:
  • Curate and integrate publicly available and internal benchmarks to direct the capabilities of frontier model development
  • Develop and implement evaluation environments, including environments for novel model capabilities and modalities
  • Collaborate with external data vendors to source and prepare high-quality evaluation datasets
  • Execute on the technical vision of research scientists designing new benchmarks and evaluations
  • Build robust, reusable evaluation pipelines that scale across multiple model lines and product areas
  • Contribute to evaluation tooling that measures the quality and reliability of evaluation suites

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 3+ years of experience in machine learning engineering, machine learning research, or a related technical role
  • Proficiency in Python and experience with ML frameworks such as PyTorch
  • Experience identifying, designing and completing medium to large technical features independently, without guidance
  • Demonstrated experience in software engineering practices including version control, testing, and code review practices
  • Ability to work independently and adapt to rapidly changing priorities

Preferred Qualifications:
  • Publications at peer-reviewed venues (NeurIPS, ICML, ICLR, ACL, EMNLP, or similar) related to language model evaluation, benchmarking, or deep learning
  • Hands-on experience with language model post-training and deep learning systems, or building reinforcement learning environments
  • Experience implementing or developing evaluation benchmarks for large language models and multimodal models (e.g., vision-language, audio, video)
  • Experience working with large-scale distributed systems and data pipelines
  • Familiarity with language model evaluation frameworks and metrics
  • Track record of open-source contributions to ML evaluation tools or benchmarks

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$154,003/year to $217,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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