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Remote Program Evaluation Jobs in California (NOW HIRING)

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GRC Technical Program Manager

Mountain View, CA · On-site +1

$176K - $213K/yr

Demonstrated professional use of AI tools to support drafting, analysis, evaluation, or workflow ... Certain roles -- such as field-based sales or other remote-by-design positions -- may have ...

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All JobsProgram Evaluation JobsRemote Program Evaluation JobsRemote Program Evaluation Jobs in California

Remote Program Evaluation information

See California salary details

$34.5K

$63.9K

$97.7K

How much do remote program evaluation jobs pay per year?

As of Jun 11, 2026, the average yearly pay for remote program evaluation in California is $63,865.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,900.00 and $75,000.00 per year, depending on experience, location, and employer.

What is a Remote Program Evaluation job?

A Remote Program Evaluation job involves assessing the effectiveness, efficiency, and impact of programs from a remote location. Professionals in this role collect and analyze data, generate reports, and provide recommendations to improve program outcomes. They may use surveys, interviews, and statistical methods to evaluate performance. This position is common in nonprofits, corporations, and government agencies that need to measure program success. Strong analytical skills, attention to detail, and experience with evaluation methodologies are essential for success in this role.

What are some typical responsibilities of a Remote Program Evaluation professional?

As a Remote Program Evaluation professional, your primary responsibilities include designing and implementing evaluation plans, collecting and analyzing quantitative and qualitative data, and generating comprehensive reports on program effectiveness. You may also facilitate virtual interviews or focus groups, collaborate with stakeholders to refine evaluation objectives, and use digital tools for data visualization and communication. The role often involves working independently, but you will regularly coordinate with program managers, data analysts, and other team members to ensure evaluation goals are met. This structure allows for flexible work hours while still contributing valuable insights to drive program improvements.

What are the key skills and qualifications needed to thrive in the Remote Program Evaluation position, and why are they important?

To thrive in Remote Program Evaluation, you need strong analytical, research, and data interpretation skills, typically supported by a background in social sciences, public health, education, or related fields. Familiarity with evaluation frameworks, statistical software (such as SPSS or R), and data management tools is highly valuable, as are certifications like the Certified Evaluation Professional (CEP). Excellent written and verbal communication, self-motivation, and attention to detail enhance your ability to collaborate across remote teams and present findings effectively. These skills ensure accurate program assessments, actionable recommendations, and successful outcomes in a virtual working environment.

What are the most commonly searched types of Program Evaluation jobs in California? The most popular types of Program Evaluation jobs in California are:
What are popular job titles related to Remote Program Evaluation jobs in California? For Remote Program Evaluation jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Program Evaluation jobs in California look for? The top searched job categories for Remote Program Evaluation jobs in California are:
What cities in California are hiring for Remote Program Evaluation jobs? Cities in California with the most Remote Program Evaluation job openings:
Remote Program Evaluation jobs near you
Infographic showing various Remote Program Evaluation job openings in California as of June 2026, with employment types broken down into 70% Full Time, 20% Part Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $63,865 per year, or $30.7 per hour.
Senior Staff ML Engineer, Driver Understanding and Evaluation

Senior Staff ML Engineer, Driver Understanding and Evaluation

Waymo

Mountain View, CA • On-site, Remote

$281K - $356K/yr

Other

Posted 6 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 DUE Machine Learning team will build and operate scalable machine learning and data systems, simulation workflow and insight tools, improve and speed up the evaluation and onboard developer journeys. It will combine expert human judgements and advanced machine learning models to deliver training and evaluation data for hundreds of metrics and components that make up the Waymo Driver. We are looking for researchers and software engineers who are passionate about developing machine learning techniques. These techniques are for the Evaluation systems on our autonomous service. They will serve as a constant driver to improve the performance of our technology stack.

You will:

  • Grow the end-to-end strategy for our next generation of machine learning-based evaluation metrics, promoting scientific and statistical rigor across our embodied AI applications
  • Architect and build scalable systems for training and fine-tuning large-scale generative models to produce realistic and evaluate interesting driving behaviors
  • Lead the design, implementation, and iteration of novel RL algorithms, reward functions, and training paradigms tailored for generating high-fidelity and insightful driving behaviors
  • Lead the development of cutting-edge Deep Learning models and Generative AI (LLM/VLM) solutions. These solutions will enhance human-led triaging, introduce automation for high-volume workflows, and perform nuanced analysis of self-driving behavior to detect critical anomalies
  • Proactively monitor and assimilate best practices from within Alphabet and the broader industry to develop a novel Reinforcement Learning from Human Preference (RLHF) based data collection and evaluation system
  • Provide technical mentorship, guidance, and thought leadership to other engineers within the team and across collaborating groups
  • Guide and align multiple teams-including Driver Understanding, Simulation, System Engineering, Research, and Onboard Software-on a cohesive evaluation strategy, ensuring cross-functional alignment on goals and priorities

You have:

  • PhD degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field, or equivalent practical experience
  • 10+ years of hands-on experience in developing and applying Machine Learning models, with a significant focus on Reinforcement Learning
  • 2+ years of people management experience
  • Demonstrated expertise in deep learning, sequence modeling, and generative models
  • Strong publication record or history of impactful project delivery in RL or related areas
  • Proficiency in Python and standard ML frameworks (e.g., JAX, TensorFlow)
  • Experience with large-scale distributed training and data processing
  • Proven ability to lead complex and ambiguous technical projects from conception to completion

We prefer:

  • 12+ years of relevant experience in ML/RL research and application
  • Experience in the autonomous vehicles domain, robotics, or complex simulation environments
  • Deep understanding of state-of-the-art RL techniques, including those used for fine-tuning large models (e.g., from human feedback/preferences)
  • Familiarity with large-scale simulation platforms and their integration with ML training workflows
  • Experience designing and using metrics for evaluating complex AI systems
  • Track record of technical leadership, influencing senior stakeholders, and driving innovation across team boundaries
  • Excellent communication skills, with the ability to articulate complex technical concepts clearly

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
$281,000—$356,000 USD

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