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Internship Perception Engineer Jobs in Berkeley, CA

Atoms

Senior Machine Learning Engineer

San Francisco, CA · On-site

$144K - $190K/yr

... visual perception and high-level behavioral goals into physical vehicle actuation • Develop ... Required : • 4+ years of non-internship professional MLE experience. • Deep expertise in ...

GE

X-Ray/Mammography Field Engineer I

San Francisco, CA · On-site

$78K - $117K/yr

OR participant in the formal GEHC Biomed/FE Services Internship or Military Externship program; OR ... and depth perception. * Must have and maintain a valid Driver's License. * Willingness to be ...

Pronto

Robotics Controls Engineer

San Francisco, CA · On-site

$119K - $161K/yr

Collaborate with perception, planning, and hardware teams to integrate control systems * Write ... internship) software development experience * Strong foundation in classical control theory (PID ...

Pronto

Senior Robotics Systems Engineer

San Francisco, CA · On-site

$123K - $168K/yr

... internship) software development experience. * Strong programming skills in at least one modern ... Experience with any of: sensor fusion, safety systems, camera pipelines, ML for perception, vehicle ...

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All JobsPerception Engineer JobsInternship Perception Engineer JobsInternship Perception Engineer Jobs in Berkeley, CA

Internship Perception Engineer information

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How much do internship perception engineer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for internship perception engineer in Berkeley, CA is $23.65, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $25.62 per hour, depending on experience, location, and employer.

What is an internship perception engineer?

An Internship Perception Engineer is a student or recent graduate who works on developing and improving perception systems, often within the fields of robotics, autonomous vehicles, or computer vision. Their responsibilities typically include processing sensor data (like cameras, LiDAR, or radar), developing algorithms for object detection and tracking, and contributing to machine learning models that help machines understand their environment. These internships offer hands-on experience with cutting-edge technologies and exposure to real-world engineering challenges. Interns usually work under the guidance of experienced engineers and may collaborate with teams across hardware, software, and research.

What types of projects does an internship perception engineer typically work on, and how do these contribute to the overall goals of the engineering team?

Internship Perception Engineers usually work on projects involving data collection, algorithm development, and sensor integration to help machines interpret their environments. These projects can include tasks like annotating sensor data, testing perception models (such as object detection or tracking), or supporting the deployment of perception systems in real-world scenarios. By contributing to these projects, interns help the team improve the accuracy and reliability of perception solutions, which are essential for applications like autonomous vehicles or robotics. Interns often collaborate closely with senior engineers and cross-functional teams, gaining hands-on experience and exposure to state-of-the-art technologies.

What are the key skills and qualifications needed to thrive as an internship perception engineer, and why are they important?

To thrive as an Internship Perception Engineer, you need a solid background in computer vision, machine learning, and programming languages such as Python or C++, often supported by coursework in robotics or artificial intelligence. Familiarity with tools like ROS, OpenCV, TensorFlow, and experience working with sensor data (e.g., LiDAR, cameras) are typically required. Strong problem-solving abilities, teamwork, and effective communication set top candidates apart in collaborative, research-driven environments. These skills are crucial for developing and integrating advanced perception algorithms that enable autonomous systems to interpret and interact with their surroundings.

What is the difference between Internship Perception Engineer vs Perception Engineer?

AspectInternship Perception EngineerPerception Engineer
Required CredentialsTypically pursuing or recently completed relevant degree (e.g., Computer Science, AI)Bachelor's or higher in related field, with experience preferred
Work EnvironmentInternship setting, learning-focused, entry-level tasksFull-time professional role, responsible for perception system development
Employer & Industry UsageInternship programs in tech companies, research labsEstablished companies in autonomous vehicles, robotics, AI
Search & Comparison IntentUnderstanding entry-level roles, internships, career pathProfessional expertise, career advancement, project responsibilities

In summary, an Internship Perception Engineer is an entry-level role designed for students or recent graduates gaining experience in perception systems, while a Perception Engineer is a full-time professional responsible for developing and maintaining perception algorithms in industry settings.

What are popular job titles related to Internship Perception Engineer jobs in Berkeley, CA?

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Internship Perception Engineer jobs near you

Machine Learning Engineer II, Visual AI

Pinterest

San Francisco, CA • On-site, Remote

$114K - $157K/yr

Full-time

Re-posted 10 days ago

Job description

The Pinterest Labs group is dedicated to the development and research of applied machine learning. Our initiatives span a diverse range of AI/ML fields, including fundamental computer vision, multimodal large language models, multimodal representation learning, generative modeling, heterogeneous graph neural networks, and recommender systems. By building foundation ML models that utilize our extensive knowledge graph and billions of Pins, we aim to significantly enhance the core Pinterest product.

Our visual modeling team is currently seeking new members to focus on the advancement of vision-centric LLMs. We are building VLMs capable of perceiving intricate visual details and understanding user aesthetics to facilitate communication through visual assets using tools like multimodal search and text-to-image models. This role offers the opportunity to work with Pinterest's unique visual-text datasets to develop large-scale generative models for production. You will join the core visual pod, a collaborative group of approximately six engineers and a product prototyping team, to create specialized evaluation benchmarks and contribute to the broader research community.

What you'll do:

  • Prototype new model architectures for Pinterest VLMs. We're looking for hands-on experience working with finetuning open-source LLM models and improve their visual perception and tool using capabilities.
  • Develop new evaluation benchmarks that tailors to vision-centric capabilities such as fashion style recommendations.
  • Read research papers, participate in group discussions, and help brainstorm our overall visual generative strategy at the company.
  • Help with collection of relevant visual training data for Pinterest Canvas, particularly to conduct RLHF, targeted fine-tuning, etc.
  • Publish and publicize your work via conferences, paper submissions, blog posts, etc. 


What we're looking for:

  • Research engineers and scientists who have experience working with generative computer vision models, preferably various forms of visual encoders and LLMs.
  • 2+ years of industry computer vision experience.
  • M.S. or PhD in Machine Learning, Computer Science, or related areas.


Nice to Have:

  • Publications at top ML conferences.
  • Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.
  • Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.

In-Office Requirement Statement:

  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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