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Selection Jobs in California (NOW HIRING)

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Selection information

What is the difference between Selection vs Recruiter?

AspectSelectionRecruiter
Primary RoleChoosing candidates for a specific job based on criteriaFinding and attracting candidates for multiple roles
Work EnvironmentHR departments, hiring teamsRecruitment agencies, HR firms
Required CredentialsHR certifications, hiring experienceHR certifications, sales skills
Common UsageWithin organizations for candidate assessmentExternal agencies or recruiters sourcing candidates

Selection focuses on evaluating and choosing the right candidate for a specific position within an organization. Recruiters, on the other hand, actively seek out and attract candidates, often working for agencies or multiple clients. While both roles involve hiring, Selection is more about decision-making after candidate sourcing, whereas Recruiter emphasizes candidate sourcing and outreach.

What are the most commonly searched types of Selection jobs in California? The most popular types of Selection jobs in California are:
What cities in California are hiring for Selection jobs? Cities in California with the most Selection job openings:
Selection jobs near you
Infographic showing various Selection job openings in California as of August 2026, with employment types broken down into 81% Full Time, 18% Part Time, and 1% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Software Engineer, Machine Learning, Planner Selection

Waymo

San Diego, CA • On-site

Full-time

Re-posted 27 days ago

Job description

The Waymo Strategic Selection team is responsible for the critical, real-time decision-making systems that guide the Waymo Driver through complex urban environments. Operating on a horizon of approximately 60 seconds into the future, this team bridges the gap between high-level routing and immediate tactical maneuvers, ensuring safe, comfortable, and efficient trajectories. In this role, you will focus on developing generalized ML models capable of handling a wider range of complex driving situations.

In this role, you will report into a TLM of Planner Technology.

You will:

  • Investigate driving behavior issues from logs and understand the root cause 
  • Improve performance of the state of the art ML models in Planner
  • Develop foundational frameworks that help advancement of the Waymo Driver's capabilities.
  • Expand the impact of ML models while preserving interpretability and behavioral guarantees
  • Directly contribute to solving some of the most challenging driving situations in the long tail.

You have:

  • Masters or PhD degree in Computer Science, Machine Learning or a similar discipline.
  • Proficiency in C++ or Python
  • Experience with Machine Learning models in production systems

We prefer:

  • AV or Robotics experience
  • 8+ years of Software Engineering experience in complex systems

Apply