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Code Engineer Jobs in California (NOW HIRING)

Coding Instructor

Fremont, CA ยท On-site

$18 - $20/hr

Code Ninjas is the nation's fastest-growing kids coding franchise. In our center, kids ages 5-14 ... Do you enjoy teaching and building problem-solving skills in young engineering minds? Have you ...

Coding Instructor

Northridge, CA ยท On-site

$15 - $18/hr

Code Ninjas is the nation's fastest-growing kids coding franchise. In our center, kids ages 7-14 ... Do you enjoy teaching and building problem-solving skills in young engineering minds? Have you ...

Coding Instructor

Los Angeles, CA ยท On-site

$18 - $20/hr

Code Ninjas is the nation's fastest-growing kids coding franchise. In our center, kids ages 7-14 ... Do you enjoy teaching and building problem-solving skills in young engineering minds? Have you ...

Coding Instructor

Fountain Valley, CA ยท On-site

$12.50 - $16.50/hr

Code Ninjas is the nation's fastest-growing kids coding franchise. In our center, kids ages 7-14 ... Do you enjoy teaching and building problem-solving skills in young engineering minds? Have you ...

Code Ninjas is the nation's fastest-growing kids coding franchise. In our center, kids ages 7-14 ... Do you enjoy teaching and building problem-solving skills in young engineering minds? Have you ...

Coding Instructor

Elk Grove, CA ยท On-site

$16/hr

Code Ninjas is the nation's fastest growing kids coding franchise. In our center kids ages 6-14 ... Do you enjoy teaching and building problem solving skills in young engineering minds? Have you ...

Coding Instructor

Fountain Valley, CA ยท On-site

$12.75 - $16.75/hr

Code Ninjas is the nation's fastest-growing kids coding franchise. In our center, kids ages 7-14 ... Do you enjoy teaching and building problem-solving skills in young engineering minds? Have you ...

They are seeking a Compiler Code Generation Engineer to design and build core code generation capabilities inside their high-performance, portable AI compiler, focusing on translating high-level ML ...

Data Engineer

Tracy, CA ยท On-site

$123K - $148K/yr

CODING ENGINEER ETL HIVE MYSQL Additional Skills: SCRIPTING SQL APACHE HADOOP MAPREDUCE DATA MODELS DATA QUALITY DATA WAREHOUSE DATABASE DATABASES EXTRACT, TRANSFORM, AND LOAD HADOOP LAMP LAMP STACK ...

Coding / STEM Instructor

CA ยท On-site

$17 - $20/hr

Code Ninjas is the nation's fastest-growing kids coding franchise. In our center, kids ages 5-14 ... Do you enjoy teaching and building problem-solving skills in young engineering minds? Have you ...

Data Engineer

Tracy, CA ยท On-site

$123K - $148K/yr

CODING ENGINEER ETL HIVE MYSQL Additional Skills: SCRIPTING SQL APACHE HADOOP MAPREDUCE DATA MODELS DATA QUALITY DATA WAREHOUSE DATABASE DATABASES EXTRACT, TRANSFORM, AND LOAD HADOOP LAMP LAMP STACK ...

Showing results 21-40

Code Engineer information

What is the difference between Code Engineer vs Software Developer?

AspectCode Engineer
Required CredentialsBachelor's in Computer Science or related field; certifications like Microsoft Certified or AWS Certified often preferred
Work EnvironmentTypically works in software development teams, collaborating on coding, testing, and deployment
Employer & Industry UsageUsed across tech companies, startups, and IT departments focusing on coding infrastructure and tools
Common Search & Comparison IntentPeople often compare Code Engineer with Software Developer due to overlapping coding responsibilities

While both roles involve coding, a Code Engineer often focuses on building and maintaining software infrastructure, tools, or frameworks, whereas a Software Developer typically develops applications or user-facing software. The roles overlap but differ in scope and focus areas.

Research Engineer, Code RL (Reinforcement Learning)

San Francisco, CA โ€ข On-site, Remote

Anthropic
Software Developmentย โ€ขย 11 - 50 employees

$241K/yr

Full-time

Re-posted 29 days ago


Job description

About the RL Teams

Our Reinforcement Learning teams play a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of our latest Claude models. Our work spans several key areas:

  • Developing systems that enable models to use computers effectively

  • Advancing code generation through reinforcement learning

  • Pioneering fundamental RL research for large language models

  • Building scalable RL infrastructure and training methodologies

  • Enhancing model reasoning capabilities

We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish.

About the Role

We're hiring for the Code RL team within the RL organization. As a Research Engineer, you'll advance our models' ability to write, edit, test, debug, and ship real software - end to end, on real codebases, with real tools - and to do it correctly, fast, and safely.

This role blends research and engineering. You'll design RL environments and coding tasks, build the reward signals and verifiers that capture what "good code" means, run training experiments on frontier models, diagnose why a model does (or doesn't) get better at a class of software-engineering work, and improve the speed and reliability of the pipelines that make all of that iterate fast. Code RL spans several focus areas - from agentic coding behaviors and code correctness, to long-horizon autonomous engineering, to high-performance code for accelerators - and we'll match you to the area where you'll have the most impact.

You may be a good fit if you:
  • Have strong software-engineering skills and deep Python expertise, including async/concurrent programming

  • Are comfortable owning systems end to end and debugging across the stack

  • Can balance research exploration with engineering implementation, and engage rigorously in shaping experimental design and interpreting results

  • Care about code quality, testing, and performance

  • Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems

Strong candidates may also have:
  • Experience with reinforcement learning, RLHF, post-training, or LLM finetuning

  • Built coding agents, code-execution sandboxes, eval harnesses, verifiers, or developer tooling

  • Background in program analysis, testing, verification, compilers, or formal methods

  • Experience with PyTorch and large-scale distributed training; performance profiling and optimization of ML systems

  • CUDA / GPU or TPU kernel experience and accelerator-performance intuition

  • Experience with virtualization and sandboxed code execution environments


Related roles

If your background leans toward one of these areas specifically, you may also want to look at these postings:

  • Research Engineer, Performance RL (Reinforcement Learning) - teaching Claude to write correct, fast code for accelerators

  • Research Engineer, Universes - long-horizon, ultra-realistic agentic training environments

  • Research Engineer, Cybersecurity RL (Reinforcement Learning) - RL for security-relevant coding capabilities