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Remote Perception Jobs in California (NOW HIRING)

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Remote Perception information

What is the difference between Remote Perception vs Remote Customer Support Agent?

AspectRemote PerceptionRemote Customer Support Agent
Required CredentialsTypically no formal credentials, but strong communication skills preferredHigh school diploma or equivalent; customer service experience often required
Work EnvironmentRemote, often flexible hours, focus on perception and understandingRemote, scheduled shifts, focus on assisting customers via chat, email, or phone
Industry UsageUsed in fields like psychology, marketing, and research to assess perceptions remotelyCommon in retail, tech, and service industries for customer support roles

Remote Perception involves understanding and analyzing perceptions remotely, often in research or psychological contexts. Remote Customer Support Agents focus on assisting customers with products or services. While both roles are remote, they differ in purpose, required skills, and industry application.

What is remote perception in the context of jobs?

Remote perception refers to the use of advanced sensors, cameras, and data processing technologies to remotely sense, interpret, and understand environments or objects from a distance. In job contexts, professionals working in remote perception may develop or operate systems that gather information about physical spaces without being physically present, commonly used in fields like robotics, autonomous vehicles, environmental monitoring, and security. These roles often require expertise in computer vision, machine learning, signal processing, or related disciplines. Remote perception enables safer and more efficient operations by allowing data collection and analysis in hard-to-reach or hazardous locations.

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

To thrive as a Remote Perception Engineer, you need expertise in computer vision, sensor fusion, and machine learning, typically supported by a degree in computer science, robotics, or a related field. Familiarity with tools such as ROS (Robot Operating System), OpenCV, and LiDAR/CAM sensor systems, as well as experience in C++ or Python, is crucial. Strong problem-solving skills, effective teamwork, and the ability to communicate complex technical concepts clearly help you stand out in this role. These skills ensure accurate environmental interpretation and reliable system performance in autonomous or robotics applications.

How does a Remote Perception Engineer typically collaborate with cross-functional teams to integrate sensor data into autonomous systems?

Remote Perception Engineers regularly work alongside software developers, hardware engineers, and data scientists to ensure seamless integration of sensor data—such as LiDAR, radar, and cameras—into autonomous systems. Collaboration often involves participating in agile sprints, sharing insights during daily stand-ups, and troubleshooting integration issues as a team. Open communication and documentation are key, as teams rely on each other's expertise to refine perception algorithms and validate system performance. This collaborative environment fosters professional growth and helps engineers stay current with rapidly evolving technologies.
What are the most commonly searched types of Perception jobs in California? The most popular types of Perception jobs in California are:
What are popular job titles related to Remote Perception jobs in California? For Remote Perception jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Perception jobs in California look for? The top searched job categories for Remote Perception jobs in California are:
What cities in California are hiring for Remote Perception jobs? Cities in California with the most Remote Perception job openings:
Remote Perception jobs near you
Staff TLM, Perception, Continuous Learning & Monitoring

Staff TLM, Perception, Continuous Learning & Monitoring

Waymo

Mountain View, CA • On-site, Remote

$238K - $302K/yr

Other

Posted 10 days ago

Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the self-driving car, i.e., the system that "perceives" the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware.

In this hybrid role you will report to a Sr Staff Technical Lead Manager.

You will:

  • Owned model updates and model deployment in an automated data selection/model update pipeline, for an ML system serving millions of rides
  • Lead the design and implementation of data selection and incremental model updates, for a multi-billion parameter model
  • Developed and deployed methods for in-field monitoring of deployed ML models, and detect improvements or regressions after a model update, for an ML system serving millions of rides
  • Build resilient and high performing teams through people development and hiring,
  • Contribute to the development of technical roadmaps, (defining team OKRs, developing believable plans to achieve the OKRs), and drive the roadmap execution
  • Make project staffing decisions, technical decisions, drive escalations; ultimately accountable for delivering projects

You have:

  • Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience
  • 5+ years experience in Machine Learning and/or Computer Vision
  • 2+ year in managing ML engineering or research teams
  • Experience with Python
  • Experience with ML frameworks like PyTorch or JAX

We Prefer:

  • MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline
  • Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, RSS, NeurIPS, AAAI, IJCV, PAMI
  • Experience with C++
  • Experience with real-time system design

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range
$238,000—$302,000 USD

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