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Research Python Jobs in Red Bank, NJ (NOW HIRING)

Medal

World Model / Action Policy Researcher

New York, NY · On-site

$350K - $450K/yr

Core Research: Python, PyTorch, NumPy, Triton, and CUDA * Backend & Infra: Kubernetes, GCP, and large-scale training clusters * Experimentation: We run continuous evaluation, A/B testing, and ...

NOUS RESEARCH

Research Scientist

New York, NY · On-site

Work with the Fundamental AI Research Team to produce high impact AI research. Responsibilities ... Experience in developing and debugging in Python * Desire to make the first multimodal "all-in-one ...

Mercor

Python Software Engineer

New York, NY · Remote

$100/hr

About the job Mercor connects elite creative and technical talent with leading AI research labs ... Optimize Python performance through profiling and memory optimization techniques. * Collaborate ...

Mercor

Python Developer Remote

New York, NY · Remote

$100/hr

About the job Mercor connects elite creative and technical talent with leading AI research labs ... Optimize Python performance through profiling and memory optimization techniques. * Collaborate ...

Old Mission

Python Software Engineer

New York, NY · On-site

$150K - $225K/yr

Additionally, you'll collaborate closely with quants, traders, and research teams to bolster our ... High proficiency in Python on Linux Platforms * Familiarity with relational databases (e.g.

Old Mission

Python Software Engineer

New York, NY · On-site +1

$150K - $225K/yr

Additionally, you'll collaborate closely with quants, traders, and research teams to bolster our ... A minimum of 2 years of professional Python experience in a production environment * High ...

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How much do research python jobs pay per hour?

As of May 28, 2026, the average hourly pay for research python in Red Bank, NJ is $60.16, according to ZipRecruiter salary data. Most workers in this role earn between $49.57 and $68.32 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Research Python Developer, and why are they important?

To thrive as a Research Python Developer, you need expertise in Python programming, data analysis, and a strong foundation in mathematics or computer science, often supported by an advanced degree. Familiarity with libraries such as NumPy, pandas, TensorFlow, and version control systems like Git is typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for translating research goals into practical code. These skills are essential for developing robust research solutions, collaborating with interdisciplinary teams, and advancing scientific or technical projects.

What are some common challenges faced by Research Python Developers when collaborating with cross-functional teams?

Research Python Developers often work alongside data scientists, domain experts, and engineers, which can present challenges such as aligning on project goals, translating research requirements into efficient code, and ensuring reproducibility of results. Effective communication and thorough documentation are key to overcoming these challenges. Additionally, Research Python Developers may need to adapt their code to integrate with different tools or platforms used by other team members, requiring flexibility and a willingness to learn new technical concepts.

What is a Research Python Developer?

A Research Python Developer is a professional who uses the Python programming language to support and conduct research activities. They often work with data analysis, machine learning, simulation, and automation to solve scientific or academic problems. Their role may involve developing prototypes, processing large datasets, and collaborating with researchers to implement algorithms or models. Research Python Developers are commonly found in universities, research institutions, and tech companies focused on innovation.

What is the difference between Research Python vs Data Analyst?

AspectResearch PythonData Analyst
Required SkillsPython programming, research methodologies, data analysisData analysis, visualization, SQL, Excel
Work EnvironmentResearch labs, academic institutions, tech companiesBusiness settings, corporate offices, consulting firms
Common CertificationsPython certifications, research methodology coursesMicrosoft Excel, Tableau, SQL certifications
Industry UsageAcademic research, scientific projects, tech R&DBusiness intelligence, marketing, finance

Research Python focuses on using Python for scientific and academic research, emphasizing programming and research methodologies. Data Analysts primarily analyze and interpret data to support business decisions, often using tools like Excel and Tableau. While both roles require data skills, Research Python is more technical and research-oriented, whereas Data Analysts focus on data interpretation within business contexts.

What are popular job titles related to Research Python jobs in Red Bank, NJ? For Research Python jobs in Red Bank, NJ, the most frequently searched job titles are:
What cities near Red Bank, NJ are hiring for Research Python jobs? Cities near Red Bank, NJ with the most Research Python job openings:
Research Python jobs near you
Infographic showing various Research Python job openings in Red Bank, NJ as of May 2026, with employment types broken down into 1% As Needed, 78% Full Time, 14% Part Time, and 7% Contract. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution, with an average salary of $125,131 per year, or $60.2 per hour.
World Model / Action Policy Researcher

World Model / Action Policy Researcher

Medal

New York, NY • On-site

$350K - $450K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago

Job description

The Company
General Intuition
We are the frontier research lab dedicated to building foundation models for environments that require deep spatial and temporal reasoning. For the past year, we've been pushing the forefront of AI across agents capable of navigating space and time, world models that provide training environments for those agents, and video understanding models with a focus on transfer to the real world.
We raised a seed round of $133M from General Catalyst and Khosla to discover the next generation of intelligence.
What We're Looking For
  • 5+ years of experience in deep learning research or reinforcement learning, with a focus on embodied agents or simulation environments.
  • Strong foundation in representation learning and generative modeling, particularly using architectures such as diffusion models, VAEs, and transformers applied to video.
  • Experience with world models and predictive control - you understand how to train models that simulate dynamics and plan actions in learned environments.
  • Proficiency in reinforcement learning (RL, model-based RL, or imitation learning) and the ability to design and evaluate policy networks.
  • Programming fluency in Python and deep learning frameworks such as PyTorch.
  • Strong experimental skills - comfort with large-scale training, evaluation pipelines, and managing complex datasets or simulations.
  • Publications or open-source contributions in areas like world modeling, simulation learning, or agent policies are a strong plus.
  • In-person: Looking to hire in NYC. 5 days in the office.
  • Ownership & scientific rigor: You see ideas through from concept to proof to deployment. You write clean, reproducible code and maintain a high bar for experimental validity.
  • Performance and scaling mindset: You care about how research translates into production systems, with an understanding of compute efficiency, distributed training, and data bottlenecks.
  • Curiosity-driven and result-oriented: You're excited by open-ended problems, but you also know how to define measurable goals and ship impactful systems.
  • Gaming & simulation passion: Interest in interactive environments, physics-based simulations, or gaming AI. Experience with Unity, Unreal Engine, or custom simulators is a plus.

Our Research Stack
  • Core Research: Python, PyTorch, NumPy, Triton, and CUDA
  • Backend & Infra: Kubernetes, GCP, and large-scale training clusters
  • Experimentation: We run continuous evaluation, A/B testing, and performance metrics tracking on our deployed models

Benefits
  • Competitive salary and meaningful equity
  • Comprehensive medical, dental, and vision coverage
  • 401(k)
  • Wellness and fitness perks including a Wellhub membership and mental health resources
  • Paid parental leave, fertility and maternal health benefits
  • Generous PTO policy
  • Daily meals and commuter benefits at our NYC HQ in Flatiron
  • Learning and development stipend

Benefits vary by country and employment type.

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