ZipRecruiter

Log In

2

Remote Reinforcement Learning Jobs in Edison, NJ

Headspace

Staff Machine Learning Engineer

$140K - $195K/yr

... reinforcement learning, LLM orchestration, RAG systems. * 3+ years of experience with modern NLP tools and machine learning libraries (scikit-learn, PyTorch, TensorFlow, spaCy) * Experience with unit ...

Headspace

Principal Machine Learning Engineer

New York, NY · On-site +1

$207K - $258K/yr

... reinforcement learning, LLM orchestration, RAG systems. * 5+ years of experience with modern NLP ... City, NY (remote), and Seattle, WA (remote). Candidates must permanently reside in the US ...

Humana

Lead Data Scientist

New York, NY · On-site +1

Experience with reinforcement learning * Experience with large-scale ETL Preferred Qualifications ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Humana

Lead Data Scientist

New York, NY · On-site +1

Experience with reinforcement learning * Experience with large-scale ETL Preferred Qualifications ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Humana

Lead Data Scientist

New York, NY · On-site +1

Experience with reinforcement learning * Experience with large-scale ETL Preferred Qualifications ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Humana

Lead Data Scientist

New York, NY · On-site +1

Experience with reinforcement learning * Experience with large-scale ETL Preferred Qualifications ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Humana

Lead Data Scientist

New York, NY · On-site +1

Experience with reinforcement learning * Experience with large-scale ETL Preferred Qualifications ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Humana

Lead Data Scientist

New York, NY · On-site +1

Experience with reinforcement learning * Experience with large-scale ETL Preferred Qualifications ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

next page

Showing results 1-20

All JobsReinforcement Learning JobsRemote Reinforcement Learning JobsRemote Reinforcement Learning Jobs in Edison, NJ

Remote Reinforcement Learning information

See Edison, NJ salary details

$11.4K

$86.8K

$144.9K

How much do remote reinforcement learning jobs pay per year?

As of Jul 23, 2026, the average yearly pay for remote reinforcement learning in Edison, NJ is $86,843.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $143,900.00 per year, depending on experience, location, and employer.

What is a Remote Reinforcement Learning job?

A Remote Reinforcement Learning job involves developing and applying reinforcement learning algorithms while working from a location outside of a traditional office environment. Professionals in this field focus on creating systems where agents learn optimal behaviors through trial and error, often using feedback from their environment. These jobs typically require expertise in machine learning, programming, and mathematics, and are commonly found in industries like robotics, gaming, and autonomous systems. Working remotely allows researchers and engineers to collaborate with global teams using digital tools and platforms.

What are the key skills and qualifications needed to thrive as a Remote Reinforcement Learning Engineer, and why are they important?

To thrive as a Remote Reinforcement Learning Engineer, you need a strong background in machine learning, statistics, and programming (especially Python), often supported by an advanced degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and RL-specific libraries like OpenAI Gym, along with experience using cloud computing platforms, is typically required. Excellent problem-solving skills, self-motivation, and effective remote communication help individuals excel in distributed teams. These skills ensure the successful design, implementation, and deployment of reinforcement learning solutions while collaborating efficiently in a remote work environment.

What is the difference between Remote Reinforcement Learning vs Remote Machine Learning Engineer?

AspectRemote Reinforcement Learning
Required CredentialsMaster's or PhD in Computer Science, AI, or related fields; knowledge of RL algorithms
Work EnvironmentResearch-focused, experimental, often involves simulation and algorithm development
Employer & Industry UsageTech companies, research labs, AI startups focusing on autonomous systems
Common Search & Comparison IntentUnderstanding specialized AI roles, research focus, and technical skills

Remote Reinforcement Learning specialists focus on developing algorithms that enable machines to learn through trial and error in simulated or real environments. In contrast, Remote Machine Learning Engineers typically work on deploying and optimizing various machine learning models across applications. While both roles require strong programming skills and knowledge of AI, reinforcement learning emphasizes decision-making processes, whereas machine learning engineering covers a broader range of models and deployment strategies.

What are common challenges faced when working remotely in a Reinforcement Learning role and how can they be addressed?

Working remotely in a Reinforcement Learning role often involves overcoming communication barriers with cross-functional teams, managing large-scale experiments without on-site resources, and staying updated with rapidly evolving research. To address these challenges, it's important to establish regular check-ins with colleagues, utilize cloud-based platforms for experiment management, and participate in virtual seminars or journal clubs. Developing strong self-motivation and time management skills is also crucial to maintain productivity in a remote environment.
What are the most commonly searched types of Reinforcement Learning jobs in Edison, NJ? The most popular types of Reinforcement Learning jobs in Edison, NJ are:
What are popular job titles related to Remote Reinforcement Learning jobs in Edison, NJ? For Remote Reinforcement Learning jobs in Edison, NJ, the most frequently searched job titles are:
What job categories do people searching Remote Reinforcement Learning jobs in Edison, NJ look for? The top searched job categories for Remote Reinforcement Learning jobs in Edison, NJ are:
What cities near Edison, NJ are hiring for Remote Reinforcement Learning jobs? Cities near Edison, NJ with the most Remote Reinforcement Learning job openings:
Remote Reinforcement Learning jobs near you

Senior Machine Learning Engineer

SW5 Consulting

New York, NY • Remote

$180K - $250K/yr

Full-time

Posted 10 days ago

Job description

Senior Machine Learning Engineer


Location: Remote (U.S.) or New York City


Compensation: $180K – $250K + Equity


Employment Type: Full-time


About Us

We’re building cutting-edge AI solutions that help some of the world’s most recognizable brands connect with their customers in smarter, more meaningful ways. Our technology predicts who to reach, when to reach them, and through which channel—maximizing engagement and driving profitable growth.


The Role


As a Senior Machine Learning Engineer, you’ll be at the heart of our product innovation. You will:

  • Design, train, and deploy ML models that power marketing personalization at scale.
  • Build robust MLOps pipelines for training, serving, and monitoring models in production.
  • Experiment and optimize using A/B testing, uplift modeling, and causal inference.
  • Collaborate with leadership and cross-functional teams, mentoring others and shaping best practices.


What We’re Looking For

  • 5+ years in software engineering, with 3+ years in ML systems.
  • Experience with GCP, specifically in Vertex AI and / or Kubeflow
  • Expertise in modern ML algorithms (tree-based methods, deep learning, transformers).
  • Hands-on experience with PyTorch, TensorFlow, XGBoost.
  • Strong Python skills and familiarity with Spark, Ray, BigQuery, Airflow.
  • Experience with MLOps, CI/CD, containerization (Docker/Kubernetes), and cloud platforms (GCP preferred).
  • Comfort with advanced experimentation techniques and performance measurement.


Bonus Points

  • Background in marketing tech or ad tech.
  • Experience with LLMs, reinforcement learning, or bandit algorithms.
  • Familiarity with causal inference and uplift modeling.
  • Startup experience and ability to thrive in a fast-paced environment.


Why Join Us?

  • Impact: Your work will directly shape how leading brands engage millions of customers.
  • Growth: Collaborate with industry veterans and learn from the best.
  • Innovation: Experiment with cutting-edge ML models and infrastructure.
  • Culture: We value ownership, iteration, and continuous learning—your voice matters.


This role is a fully remote role but you MUST be based in US and eligible to work without sponsor. Bonus points if you can occasionally get to New York. The position will pay $200-250k + equity