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Zoox

Data Scientist - Perception Verification and Validation

Zoox is hiring a Data Scientist - Perception Verification and Validation in Boston, United States. It pays $167k-$228k a year and Level rates it ; you can apply on Zoox.

Level's read on this job

  • On Level's scale, this data scientist role is Builds AI ●●●●: the job is building AI systems.
  • Pay on this posting starts in line with the typical data scientist posting on Level.
  • The posting mentions computer vision among its tools and skills.
  • Zoox has 228 other open roles on Level.

AI in this role

computer-vision
We are seeking a highly skilled and experienced Data Scientist to join our Perception Verification and Validation team. The team is responsible for verifying and validating the perception stack of our autonomous driving system. The candidate will work closely with other data scientists, perception engineers, and systems engineers to develop datasets and metrics to quantify the performance of our perception system. The candidate will also help define key performance metrics that will enable perception engineers to directly measure the impact of new features on both the overall Perception stack as well as end-to-end system behavior.

In this role, You will...

  • Define key performance metrics that will help perception engineers to measure the impact of new features on the perception stack and the end-to-end system behavior
  • Create and maintain datasets used to evaluate the perception stack and end-to-end driving performance.
  • Analyze large scale metric results to identify patterns and insights about perception failure modes. Present results and insights to leadership.
  • Design and implement statistical methods to quantify uncertainty in our performance and validation metrics.

Qualifications

  • Master's or PhD degree in Statistics, Mathematics, Computer Science, or a related field
  • Proficient using data query languages (SQL and/or Spark/scala) to quickly build complex yet efficient data queries at scale and using Python to build production-quality code
  • Basic experience with autonomous driving, safety-critical systems, or computer vision systems.
  • Proficient in exploratory data analysis (EDA) and data visualization to understand and present trends and their implications for the business.
  • Background in statistical modeling and analysis; including experience making data-driven decisions that connect point and uncertainty estimates to business impact.

Bonus Qualifications

  • Skilled at using AI tools to improve development efficiency and quality.
  • Experience with experiment design and statistical comparisons (A/B testing, parametric/non-parametric statistics, etc.)
  • Experience analyzing geospatial data
About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
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AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

How we rate this

Data Scientist - Perception Verification and Validation at Zoox rates 84 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Computer vision

Also common in data scientist jobs at this level

Pay

This job starts at
$167k
Typical data scientist job
$167k

This posting starts close to the typical data scientist job. See data scientist jobs

Questions you could be asked

  1. Walk me through a computer vision problem you solved, from raw data to a deployed model.
  2. How would you decide a model or AI system is ready to ship?
  3. Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

  • List these exact terms on your resume: Computer vision. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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