2

Remote Machine Learning Robotics Jobs in New York

Senior Machine Learning Engineer

New York, NY ยท On-site +1

$114K - $157K/yr

This role is currently open to remote work. Candidates must be located near one of our hub ... Design and implement machine learning capabilities that improve Autodesk's customer-facing ...

Principal Machine Learning Engineer

New York, NY ยท On-site +1

$207K - $258K/yr

Machine Learning at Headspace is a dynamic and innovative group whose mission is to improve the ... City, NY (remote), and Seattle, WA (remote). Candidates must permanently reside in the US ...

Senior Machine Learning Engineer (Remote)

New York, NY ยท On-site +1

$114K - $157K/yr

We are looking for an outstanding machine learning engineer to join our team! The role will provide an opportunity to work on large scale machine learning to improve the podcast creation experience ...

Staff Machine Learning Engineer

New York, NY ยท On-site +1

$179K - $224K/yr

About the Staff Machine Learning Engineer at Headspace: The AI & Machine Learning group at ... City, NY (remote), and Seattle, WA (remote). Candidates must permanently reside in the US ...

Senior Machine Learning Engineer

Brooklyn, NY ยท On-site +1

$130K - $200K/yr

We're remote but have an office in Brooklyn, New York. We are looking for a machine learning engineer to design, build, experiment and optimize Shaped's AI discovery engine. You will be a founding ...

next page

Showing results 1-20

Remote Machine Learning Robotics information

What is a Remote Machine Learning Robotics job?

A Remote Machine Learning Robotics job involves developing and implementing machine learning algorithms to control and improve robotic systems, all while working from a remote location. Professionals in this field use artificial intelligence techniques to enable robots to learn from data and adapt to new tasks. They collaborate with teams virtually, leveraging cloud-based tools and simulation environments to design, test, and deploy robotic solutions. This role typically requires strong programming skills, knowledge of robotics frameworks, and experience with machine learning models.

What is the difference between Remote Machine Learning Robotics vs Remote Data Scientist?

AspectRemote Machine Learning RoboticsRemote Data Scientist
Required CredentialsDegree in Robotics, Computer Science, or related fields; experience with ML algorithms and robotics platformsDegree in Data Science, Statistics, or related fields; proficiency in ML, statistics, and programming
Work EnvironmentHands-on with robotics hardware, simulation environments, and software developmentData analysis, modeling, and visualization primarily on software platforms
Employer & Industry UsageRobotics companies, manufacturing, autonomous vehicles, research labsTech firms, finance, healthcare, research institutions

Remote Machine Learning Robotics focuses on developing intelligent systems that integrate robotics hardware with machine learning algorithms, often requiring hands-on hardware work. In contrast, Remote Data Scientists primarily analyze data and build models using software tools. Both roles involve ML expertise but differ in work environment and industry applications.

How do remote machine learning robotics professionals typically collaborate with hardware teams when working off-site?

Remote machine learning robotics professionals often collaborate closely with hardware teams through regular virtual meetings, shared documentation, and cloud-based development environments. They use simulation tools to test algorithms before deployment and rely on video calls or live streams to observe hardware tests in real time. Effective communication and detailed feedback are essential to ensure that software and hardware integration runs smoothly, despite working from different locations. This collaborative approach helps address issues quickly and keeps projects on track.

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

To thrive as a Remote Machine Learning Robotics Engineer, you need a solid background in robotics, machine learning algorithms, programming (Python, C++), and typically a degree in computer science, robotics, or a related field. Familiarity with robotics frameworks (like ROS), machine learning libraries (such as TensorFlow or PyTorch), and experience with cloud platforms or remote collaboration tools are highly valued. Strong problem-solving abilities, initiative, and effective remote communication skills help you excel in distributed teams. These competencies enable you to develop intelligent robotic systems efficiently, collaborate across locations, and drive innovation in a rapidly evolving field.
What job categories do people searching Remote Machine Learning Robotics jobs in New York look for? The top searched job categories for Remote Machine Learning Robotics jobs in New York are:
What cities in New York are hiring for Remote Machine Learning Robotics jobs? Cities in New York with the most Remote Machine Learning Robotics job openings:
Product Manager - Machine Learning - Remote

Product Manager - Machine Learning - Remote

NAVA Software Solutions

Manhattan, NY โ€ข On-site, Remote

Full-time

Posted 29 days ago


Job description

NAVA Software solutions is looking for a Product Manager - Machine Learning
Details:
Product Manager - Machine Learning
Location: Remote project
Duration: 12 months
Job Functions:
Within the role, the Lead Product Manager will:
  • Develop and manage end-to-end Machine Learning technical product solutions.
  • Leverage subject matter expertise to proactively engage with business partners to strategize and design solutions that improve investigation of activities, and decision-making utilizing Machine Learning
  • Identify opportunities to leverage Machine Learning technology to achieve Advanced Analytics strategic objectives. Partner with business and technology sponsors to build successful business cases to fund the initiatives
  • Represent and collaborate with business partner across the full product lifecycle. Oversee stakeholder engagement and communication, review and prioritization of business requirements, cross-functional user acceptance testing of selected solution(s), and development of change management plans for implementation and adoption.
  • Collaborate with business stakeholders and technology counterparts to evaluate third-party solutions where appropriate. Lead vendor engagement efforts from selection through implementation
  • Help define and validate success criteria for business partners where Machine Learning can improve their goals and objectives
  • Rely upon design thinking / growth mindset to approach business problems with a strategic view
  • Provide feedback regarding solutions, tools, and platforms with a view of strategic priorities
  • Champion new Machine Learning capabilities, functions, and processes within and across the organization

Education/Experience Requirements:
  • Bachelor's degree in Business Administration, Finance, Information Technology, or related field and a minimum of seven (7) years of experience working with ML; or an equivalent combination of education and experience
  • Experience developing or working directly on various aspects of large-scale ML platforms such as dataset generation, feature development, model testing and resource management to support the development of ML-powered product experiences such as NLP, computer-vision, ranking and personalization
  • Strong organizational skills, oral, and written communication skills, with an ability to administer multiple complex assignments concurrently and execute against tight deadlines
  • Familiarity with advanced reporting and analytics tools.
  • Be able to prioritize a complex workload, make difficult decisions, and resolve competing priorities
  • Proven record of operationalizing and deploying complex technology applications across business users from inception to delivery
  • Self-starter, forward-thinking, and ability to "get into the weeds" of business processes and technology capabilities to maximize value and outcomes

NAVA Software Solutions logo

About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

Social media