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Remote Robotics Research Engineer Jobs in New York

Senior AI Research Engineer

New York, NY · On-site +1

$225K - $300K/yr

Our AI-powered platform enables robots to tackle unprecedented challenges through an intuitive ... About the Role We're seeking a Senior AI Research Engineer to develop and optimize our AI models ...

Staff AI Research Engineer

New York, NY · On-site +1

$250K - $300K/yr

Our AI-powered platform enables robots to tackle unprecedented challenges through an intuitive ... About the Role We're seeking a Staff AI Research Engineer to develop and optimize our AI models and ...

Lead Research Engineer

New York, NY · On-site +1

$112K - $147K/yr

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... in research and engineering fields * Previous exposure to Natural Language Processing (NLP ...

... engineer, researcher, product leader, or manufacturing operator. • Strong understanding of AI applications in robotics and industrial environments. • Experience advising, mentoring, investing in ...

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Remote Robotics Research Engineer information

What is a remote robotics research engineer?

Remote Robotics Research Engineers are professionals who design, develop, and test robotic systems while working from a remote or virtual location. They use advanced programming skills, simulation tools, and data analysis to create robots or autonomous systems for various industries, such as manufacturing, healthcare, or space exploration. Their responsibilities often include conducting research, collaborating with cross-functional teams, and publishing their findings, all while utilizing cloud-based platforms and remote communication tools. This role is ideal for individuals with strong technical backgrounds who seek flexibility and global collaboration opportunities.

What are the key skills and qualifications needed to thrive as a remote robotics research engineer?

To thrive as a Remote Robotics Research Engineer, you need a strong background in robotics, computer science, and mathematics, often supported by an advanced degree in a related field. Proficiency in programming languages such as Python or C++, robotics frameworks like ROS, and simulation tools such as Gazebo or MATLAB is typically required. Exceptional problem-solving, self-motivation, and effective virtual communication are crucial soft skills for collaborating and innovating remotely. These skills and qualities are vital for developing cutting-edge robotics solutions and ensuring smooth teamwork across distributed environments.

How does collaboration typically work for a remote robotics research engineer, and what tools are commonly used for remote teamwork?

As a Remote Robotics Research Engineer, you’ll frequently collaborate with multidisciplinary teams that may include software developers, mechanical engineers, and data scientists. Communication and project management are facilitated through tools like Slack, Microsoft Teams, and project tracking platforms such as Jira or Asana. Version control and code collaboration often occur via GitHub or GitLab. Regular virtual meetings, code reviews, and shared documentation ensure alignment and productivity despite the physical distance, making strong communication skills and self-motivation essential for success in this remote environment.

What is the difference between Remote Robotics Research Engineer vs Remote Robotics Software Developer?

AspectRemote Robotics Research EngineerRemote Robotics Software Developer
Required CredentialsMaster's or PhD in Robotics, Mechanical, or Electrical EngineeringBachelor's or Master's in Computer Science or Software Engineering
Work EnvironmentResearch labs, universities, R&D departmentsTech companies, startups, industrial firms
Industry UsageResearch, academia, innovation projectsProduct development, software solutions, automation
Common Search/ComparisonFocuses on research and innovation in roboticsFocuses on software development for robotics applications

The main difference is that Remote Robotics Research Engineers focus on advancing robotics technology through research and experimentation, often working in academic or R&D settings. In contrast, Remote Robotics Software Developers primarily develop and implement software solutions for robotic systems in industry. Both roles require technical skills, but their goals and work environments differ significantly.

What are the most commonly searched types of Robotics Research Engineer jobs in New York?

The most popular types of Robotics Research Engineer jobs in New York are:

What are popular job titles related to Remote Robotics Research Engineer jobs in New York?

For Remote Robotics Research Engineer jobs in New York, the most frequently searched job titles are:

What cities in New York are hiring for Remote Robotics Research Engineer jobs?

Cities in New York with the most Remote Robotics Research Engineer job openings:

Infographic showing various Remote Robotics Research Engineer job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior AI Research Engineer

New York, NY • On-site, Remote

Standard Bots
Industrial Automation Equipment Manufacturing • 1 - 10 employees

$225K - $300K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago


Job description

About Standard Bots
At Standard Bots, we're revolutionizing real-world automation by making robotic systems accessible to everyone. Our AI-powered platform enables robots to tackle unprecedented challenges through an intuitive instruction interface, bringing the power of software automation to physical spaces.
About the Role
We're seeking a Senior AI Research Engineer to develop and optimize our AI models and training systems. This is an exciting opportunity to apply your deep ML expertise to cutting-edge AI/robotics applications. You'll work closely with our engineering team to design, implement, and iterate on large-scale AI models while building efficient systems for rapid experimentation and deployment. We have a small team of AI engineers, so we're looking for someone who is excited to work at a startup, and work across the stack to do what is needed to get a model that achieves a customer problem.
We're looking for an experienced engineer ready to make a tangible impact in the AI robotics revolution. This role requires a proven background working on ML planning within the autonomous vehicle space with experience using the latest techniques in diffusion and autoregressive models in a professional setting. If you're excited about building the latest advancements in AI and working in the robotics space, we'd love to hear from you.
In this role, you will:
  • Design and implement state of the art ML models and training pipelines:
    • Apply novel machine learning techniques to wide range of robotics applications
    • Develop efficient data and training strategies
    • Implement model evaluation frameworks and metrics tracking
  • Lead model development and iteration with focus on:
    • Rapid experimentation and prototyping of new model architectures
    • Performance optimization and model debugging
    • Transfer learning and fine-tuning strategies
  • Build robust evaluation and debugging systems to:
    • Analyze model behavior and failure modes
    • Implement interpretability tools and visualization frameworks
    • Track and improve model metrics
  • Collaborate with engineering team to optimize training infrastructure and deployment

You might thrive in this role if you:
  • Have 5+ years of AI modeling experience, specifically within the self-driving car industry (or PhD with 3+ years of AI modeling experience in the self-driving car industry)
  • Proven track record developing and deploying large-scale ML models
  • Have experience using the latest techniques in diffusion and autoregressive models in a professional setting
  • Are familiar with training inference and infra pipelines that go from camera input to trajectory output for self driving or robotics
  • Have experience with RL (reinforcement learning)
  • Have a strong understanding of modern ML architectures and training techniques
  • Have experience with model debugging, optimization, and performance tuning
  • Have a background in implementing ML research papers and adapting academic work

Tech Stack
  • PyTorch (experience with PyTorch required)
  • Python
  • NodeJS/Typescript
  • Docker

Compensation and Benefits:
The salary range for this role is $225,000 to $300,000, depending on experience. We are open to a variety of seniority levels for this role and will build compensation packages that are commensurate with seniority and skill level. Base salary is just one part of the overall compensation at Standard Bots. All Full-Time Employees are eligible for Employee Stock Options. We also offer a package of benefits including paid time off, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees.