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Internship Computer Vision Robotics Jobs in New York

Experience working with complex, high-volume, or real-time data (e.g., robotics, autonomy, geospatial systems, computer vision outputs, IoT, ad-tech, or large-scale consumer platforms) * Strong ...

ML Infrastructure Engineer, Fauna

New York, NY ยท On-site

$117K - $154K/yr

... computer vision, and supervised learning applied to robotics and embodied systems. You also need to ... BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ ...

Partner with the algorithms team (signal processing, computer vision) on integration with their ... Cutting-edge stack: embedded AI, robotics, LLMs, multimodal sensing * Transparent, mission-driven ...

Partner with the algorithms team (signal processing, computer vision) on integration with their ... Cutting-edge stack: embedded AI, robotics, LLMs, multimodal sensing * Transparent, mission-driven ...

Partner with the algorithms team (signal processing, computer vision) on integration with their ... Cutting-edge stack: embedded AI, robotics, LLMs, multimodal sensing * Transparent, mission-driven ...

Job Summary : Norbert Health is building autonomous robots that deliver healthcare. They are ... processing, computer vision) on integration with their lower-level pipelines Qualifications

The Project Engineer will support multiple strategic and tactical projects related to parcel sorters, automation safety, robotics, computer vision, and machine moves, working closely with Operations ...

The Project Engineer will support multiple strategic and tactical projects related to parcel sorters, automation safety, robotics, computer vision, and machine moves, working closely with Operations ...

The Project Engineer manages multiple projects and workstreams related to parcel sorting systems, robotics, automation safety, computer vision, machine relocations, and emerging technologies. Working ...

The Project Engineer manages multiple projects and workstreams related to parcel sorting systems, robotics, automation safety, computer vision, machine relocations, and emerging technologies. Working ...

You will work at the intersection of XR engineering and real-time robotics, writing the code that ... BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience ...

Integrate with the computer vision pipeline (C++) to leverage multi-modal signal enhancement ... Cutting-edge stack: embedded AI, robotics, LLMs, multimodal sensing * Transparent, mission-driven ...

Integrate with the computer vision pipeline (C++) to leverage multi-modal signal enhancement ... Cutting-edge stack: embedded AI, robotics, LLMs, multimodal sensing * Transparent, mission-driven ...

You'll bring deep expertise in reinforcement learning, computer vision, and supervised learning applied to robotics and embodied systems. You also need to think seriously about training ...

You'll bring deep expertise in reinforcement learning, computer vision, and supervised learning applied to robotics and embodied systems. You also need to think seriously about training ...

Showing results 41-60

Internship Computer Vision Robotics information

What are the key skills and qualifications needed to thrive as an internship computer vision robotics?

To thrive in an Internship Computer Vision Robotics role, you typically need a solid background in computer science, mathematics, and robotics, often supported by coursework or projects in machine learning and image processing. Familiarity with programming languages like Python or C++, and experience using tools such as OpenCV, ROS, and deep learning frameworks (e.g., TensorFlow or PyTorch) are commonly required. Strong problem-solving, teamwork, and effective communication skills set candidates apart in multidisciplinary environments. These skills are essential for developing innovative solutions and collaborating on complex robotics projects.

What types of projects and technologies will I typically work on during an internship in computer vision robotics?

As an intern in computer vision robotics, you will often work on hands-on projects involving tasks like object detection, image segmentation, sensor data processing, or robotic navigation. You may use programming languages like Python or C++, and frameworks such as OpenCV, ROS (Robot Operating System), and TensorFlow or PyTorch for machine learning components. Interns collaborate closely with engineers and researchers, participating in code reviews, testing algorithms on real or simulated robots, and troubleshooting system integration. This role offers exposure to both software development and hardware interaction, providing a comprehensive experience in robotics and computer vision.

What is an internship computer vision robotics?

Internship Computer Vision Robotics positions are temporary roles designed for students or early-career professionals to gain practical experience in applying computer vision techniques within robotic systems. Interns in these roles typically work on projects involving image processing, object detection, 3D vision, and integrating visual data into robotic control systems. These internships help candidates build technical skills, gain exposure to real-world robotics challenges, and often require knowledge of programming languages such as Python or C++, as well as familiarity with machine learning frameworks. They are commonly offered by research labs, tech companies, and robotics startups.

What is the difference between Internship Computer Vision Robotics vs Internship Machine Learning?

AspectInternship Computer Vision RoboticsInternship Machine Learning
Required CredentialsRelevant coursework, basic programming skills, familiarity with robotics and vision toolsProgramming skills, math background, familiarity with algorithms and data analysis
Work EnvironmentRobotics labs, hardware integration, software developmentData analysis, software development, research environments
Employer & Industry UsageRobotics companies, research labs, tech firms working on autonomous systemsTech companies, research institutions, AI startups

Internship Computer Vision Robotics focuses on developing systems that enable robots to interpret visual data, combining hardware and software skills. In contrast, Internship Machine Learning emphasizes designing algorithms to analyze data and build predictive models. Both roles require programming knowledge but differ in their application areas and work environments.

What job categories do people searching Internship Computer Vision Robotics jobs in New York look for? The top searched job categories for Internship Computer Vision Robotics jobs in New York are:
What cities in New York are hiring for Internship Computer Vision Robotics jobs? Cities in New York with the most Internship Computer Vision Robotics job openings:
Infographic showing various Internship Computer Vision Robotics job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Data Scientist

Bedrock Robotics

New York, NY โ€ข On-site

Full-time

Re-posted yesterday


Job description

Join the team bringing advanced autonomy to the built world
At Bedrock, we're moving AI out of the lab and into the real world. Our team is composed of industry veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we're deploying autonomous systems on heavy construction machinery across the country, accelerating project schedules of billion-dollar infrastructure projects and improving safety on job sites. Backed by $350M in funding, we're working quickly to close the gap between America's surging demand for housing, data centers, manufacturing hubs, and the construction industry's growing labor shortage.
This is where algorithms meet steel-toed boots. You'll collaborate with construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to apply cutting-edge technology to solve meaningful problems alongside a talented team-we'd love to have you join us.
The Role:
Bedrock Robotics is hiring a Data Scientistto lead high-impact data science work across autonomy, safety, and product. In this role, you will operate as a senior technical individual contributor, partnering closely with autonomy, machine learning, backend, and product teams to extract insights from complex, real-world data generated by autonomous construction machines and their operators.
You will work across the full data science lifecycle (problem framing, analysis, measurement, and communication) while helping establish foundational practices for how data science is applied at Bedrock. This role is ideal for a senior-to-staff-level data scientist who enjoys operating in ambiguous problem spaces, working close to production systems, and delivering insights that directly influence engineering and product decisions.
What you'll do:
  • Own and execute data science work across autonomy, safety, and product, focusing on the highest-impact analytical problems
  • Analyze machine telemetry, operational data, and user workflows to surface insights that improve system performance, safety, and usability
  • Define and track key metrics that measure system behavior and product outcomes
  • Design and evaluate experiments, analyses, and validation approaches in partnership with engineering and product teams
  • Collaborate closely with ML platform and data engineering teams to ensure data is accessible, reliable, and fit for analysis
  • Communicate findings clearly to technical and non-technical stakeholders, influencing roadmap and design decisions
  • Contribute to the foundation of data science practices at Bedrock, helping shape how future work and teams scale

Required Qualifications:
  • 5+ years of experience in data science, applied analytics, or applied machine learning roles
  • Comfort operating as a senior IC in a fast-growing startup, balancing execution with technical judgment and prioritization
  • Ability to work independently, define analytical approaches, and drive projects from concept to insight
  • Experience working with complex, high-volume, or real-time data (e.g., robotics, autonomy, geospatial systems, computer vision outputs, IoT, ad-tech, or large-scale consumer platforms)
  • Strong grounding in statistics, experimental design, and data analysis, with a track record of influencing decisions through data
  • Hands-on experience collaborating with data engineering and infrastructure teams on data pipelines, data quality, and scalable analysis workflows
  • Proficiency in Python and SQL, with experience using modern tooling like agentic AI
  • Bachelor's degree in Computer Science, Engineering, Statistics, or a related field (advanced degree welcome but not required)

Our roles are often flexible. If you don't fit all the criteria, or are in another location (especially one where we have an office like SF or NY) please apply anyway! We'd love to consider you.