Back to jobs

Product / Data Science Intern

Pay
$38–40/hour — pay source
Collaboration with smart and motivated engineers and ability to execute your vision in a high impact role Compensation $38.00-$40.00/hr 40 hours/week in-office internship position for 6 months, flexible start date
Read the full posting
Work setting
Not stated
Employment
Temporary — employment source
Employment type in the employer’s posting: Temporary
From the employer’s posting

Before you apply

New graduates
Open to new graduatesWe’re looking for a recent graduate to join us for a 6-month intern-to-hire role working across our robotics stack: perception, controls, simulation, and robot applications such as asset tracking and site monitoring

What you’ll work on

Full posting

We’re looking for a recent graduate to join us for a 6-month intern-to-hire role working across our robotics stack: perception, controls, simulation, and robot applications such as asset tracking and site monitoring.

  • Design and run experiments and test scenarios to measure system performance

  • Build and extend Python tools for evaluation, data analysis, and visualization

  • Support simulation workflows, data collection, and hands-on testing with vehicles and robots

  • Help prototype and evaluate robotic applications such as security monitoring

  • Present findings to ML, controls, and product engineering teams

From the employer’s posting
We’re looking for a recent graduate to join us for a 6-month intern-to-hire role working across our robotics stack: perception, controls, simulation, and robot applications such as asset tracking and site monitoring. The common thread is measurement. You’ll design experiments and build the tools that tell us whether our systems work, how well, and why, then share what you find with the ML and control engineers who act on it. Priorities shift quickly, so this role suits someone who enjoys ambiguous problems, picks up new domains fast, and is excited to grow into a full-time engineer on the team.
Design and run experiments and test scenarios to measure system performance
Build and extend Python tools for evaluation, data analysis, and visualization
Support simulation workflows, data collection, and hands-on testing with vehicles, robots, and sensors
Help prototype and evaluate robotic applications, such as security monitoring and container inventory management
Present findings to ML, controls, and product engineering teams

What you’ll bring

All qualifications

Core experience

  • Recent graduate with a Bachelor's or Master's in engineering, physics, math, or related field
  • Proficiency in Python
  • Experience designing experiments and applying statistical analysis to noisy data
  • Familiarity with Linux environments
  • Strong written and verbal communication skills
Qualification wording
Recent graduate (Bachelor’s or Master’s degree) in engineering, physics, mathematics, or a related technical field.
Proficiency in Python
Experience designing and conducting experiments from a scientific perspective and applying statistical analysis to extract insights from noisy, real-world data.
Familiarity with Linux environments.
Strong written and verbal communication skills
Education & alternatives
What We’re Looking For: - Recent graduate (Bachelor’s or Master’s degree) in engineering, physics, mathematics, or a related technical field. - Proficiency in Python; experience with C++ is a plus.

About Zendar

Although AI is central to what we build, our hiring process is intentionally human: every résumé is reviewed by a real person.

In the employer’s words · Read in context

Apply at Zendar

Posting record

Report an error
Status in our records
Live
First seen by us
Oct 18, 202617 days ago
Recorded sightings
19
Last seen by us
Nov 4, 2026
Employer says posted
Oct 16, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$118K–$193K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 3,721 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 17

Similar jobs usually come down between day 7 and day 55.

From 10,000 similar postings that came down. Coming down is not always a hire.

Zendar is hiring

1 open job

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • C++
  • Python
  • SQL
  • BigQuery
  • GCP
  • Matplotlib
  • Plotly
  • Streamlit
Where the posting names them
- Recent graduate (Bachelor’s or Master’s degree) in engineering, physics, mathematics, or a related technical field. - Proficiency in Python; experience with C++ is a plus. - Familiarity with Linux environments.
- Design and run experiments and test scenarios to measure system performance across perception models, controllers, and robotic applications. - Build and extend Python tools for evaluation, data analysis, and visualization. - Support simulation workflows, data collection, and hands-on testing with vehicles, robots, and sensors.
Bonus Points For - Experience with GCP, BigQuery, or SQL. - Experience processing sensor data (e.g., radar, LiDAR, camera feeds).
- Experience handling 3D data and spatial geometry, including point clouds, coordinate frames, and rigid-body transformations. - Experience building data visualizations or interactive dashboards using tools such as Matplotlib, Plotly, or Streamlit. What We Have To Offer:

Your next step

Complete your application on zendar.breezy.hr. The employer’s form will show what is required.

Applying through Breezy HR

  • No account needed.

Already applied? Track this application

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

About Zendar:

Zendar builds a radar-centric autonomy stack which makes any vehicle - from cars to robots - autonomous in any environment. With our deep radar DNA, we have architected our solution to put RF sensing at the core of all perception. The result is a system that handles long range, high speeds, and bad weather not as edge cases but as a core strength of the autonomy stack.

Because radars naturally measure both 3D position and velocity for every object in the environment, radar-centric autonomy is extremely compute- and data-efficient. Our autonomous vehicle needs only a few thousand dollars of hardware to make it completely autonomous, making this the cheapest way to build an autonomous vehicle by far.

See a demo of Zendar’s foundational RF perception and driving functions.

To develop this capability we had to build the entire stack in house - from radar sensor hardware to signal processing to multi-modal perception foundation models and path and trajectory planning. As part of a small team, you will have a front-row seat to seeing how a complete autonomy stack is architected and how your engineering decisions improve the ability to navigate autonomously in the real world.

Although AI is central to what we build, our hiring process is intentionally human: every résumé is reviewed by a real person.

Role Overview:

We’re looking for a recent graduate to join us for a 6-month intern-to-hire role working across our robotics stack: perception, controls, simulation, and robot applications such as asset tracking and site monitoring. The common thread is measurement. You’ll design experiments and build the tools that tell us whether our systems work, how well, and why, then share what you find with the ML and control engineers who act on it. Priorities shift quickly, so this role suits someone who enjoys ambiguous problems, picks up new domains fast, and is excited to grow into a full-time engineer on the team.

Key Responsibilities:

  • Design and run experiments and test scenarios to measure system performance across perception models, controllers, and robotic applications.
  • Build and extend Python tools for evaluation, data analysis, and visualization.
  • Support simulation workflows, data collection, and hands-on testing with vehicles, robots, and sensors.
  • Help prototype and evaluate robotic applications, such as security monitoring and container inventory management.
  • Present findings to ML, controls, and product engineering teams, collaborating to track and resolve identified issues.

What We’re Looking For:

  • Recent graduate (Bachelor’s or Master’s degree) in engineering, physics, mathematics, or a related technical field.
  • Proficiency in Python; experience with C++ is a plus.
  • Familiarity with Linux environments.
  • Experience using agentic coding tools (e.g., Claude Code, Cursor, Codex)
  • Experience designing and conducting experiments from a scientific perspective and applying statistical analysis to extract insights from noisy, real-world data.
  • Strong written and verbal communication skills, including the ability to clearly articulate technical results to both technical and non-technical stakeholders.
  • Comfort with ambiguity: ability to drive loosely defined projects, adapt to evolving requirements, and rapidly master new technical domains.

Bonus Points For

  • Experience with GCP, BigQuery, or SQL.
  • Experience processing sensor data (e.g., radar, LiDAR, camera feeds).
  • Experience with and enthusiasm for working directly with hardware and robotics platforms, including vehicles and sensor test rigs.
  • Familiarity with ROS or robotics simulation software.
  • Coursework or experience in controls, dynamics, or state estimation (e.g., MPC, Kalman filters, odometry).
  • Experience handling 3D data and spatial geometry, including point clouds, coordinate frames, and rigid-body transformations.
  • Experience building data visualizations or interactive dashboards using tools such as Matplotlib, Plotly, or Streamlit.

What We Have To Offer:

  • Opportunity to make an impact at a young, venture-backed company in an emerging market
  • Collaboration with smart and motivated engineers and ability to execute your vision in a high impact role
  • Compensation $38.00-$40.00/hr
  • 40 hours/week in-office internship position for 6 months, flexible start date
  • Daily catered lunch and a stocked fridge
  • Opportunity for both the intern and the team to assess mutual fit for a potential full-time junior role.

Zendar is committed to creating a diverse environment where talented people come to do their best work. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Zendar participates in E-Verify

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
Collaboration with smart and motivated engineers and ability to execute your vision in a high impact role Compensation $38.00-$40.00/hr 40 hours/week in-office internship position for 6 months, flexible start date
Location & working pattern

Berkeley, CA

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.