Top 20 Ablation Frontiers Jobs

AI Systems Engineer, Codex Agents
OpenAI —San Francisco, CA
- $230,000 - $385,000 a year
- Full-time
- System design
- Research
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AI Researcher, Core ML (Turbo)
Together AI —San Francisco, CA
- $200,000 - $280,000 a year
- Full-time
- Computer science
- Computer Science
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AI Research Engineer
Normal Computing Corporation —New York, NY
- $300,000 - $400,000 a year
- Full-time
- Hybrid work
- Computer Science
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ML Engineer, Apple Foundation Models
Apple —Cupertino, CA
- $150,400 - $277,600 a year
- Computer Science
- Doctor of Philosophy
- Senior level
- Employee stock purchase plan
- Health insurance
12d
Machine Learning Scientist
Arena Intelligence, Inc. —San Francisco Bay Area, CA
- Full-time
- Hybrid work
- Office
- Doctor of Philosophy
- Senior level
- Health insurance
- Dental insurance
Machine Learning Engineer
Amiri Recruiting —Santa Clara, CA
- $140,000 - $220,000 a year
- Full-time
- Mid-level
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- Software development experience
Quick Apply
AI Engineer
Howard Hughes Medical Institute —Ashburn, VA
- $96,325.60 - $299,737.10 a year
- Full-time
- Computer Science
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Research Member of Technical Staff- Video Generation Modeling
Rhoda AI —Mountain View, CA
- Full-time
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Research Scientist Graduate (Multimodal Interaction and World Model) - 2026 Start (PhD)
ByteDance —San Jose, CA
- $244,800 - $450,000 a year
- Computer Science
- Doctor of Philosophy
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Research Engineer, Core ML
Together AI —San Francisco, CA
- $200,000 - $280,000 a year
- Full-time
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- Computer Science
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Machine Learning Scientist - Open Source Lead
Arena Intelligence, Inc. —San Francisco Bay Area, CA
- Full-time
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Applied AI Researcher (Dublin, CA)
Articul8 —Dublin, CA
- Full-time
- Azure
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Liquid Labs - Research Engineer
Liquid AI —Boston, MA
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RESEARCHER, POST-TRAINING
MakerMaker —San Francisco, CA
- Full-time
- 5 years
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Principal Applied AI Researcher - Domain- Specific Models (Dublin, CA)
Articul8 —Dublin, CA
- Full-time
- Computer Science
- Analysis skills
- Doctor of Philosophy
Member of Technical Staff - Multi-Modal, Vision
Liquid AI —San Francisco, CA
- Full-time
- Hybrid work
- Computer Science
- Doctor of Philosophy
- Senior level
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Pre-Training Text Data
Microsoft —United States
- $119,800 - $304,200 a year
- Full-time
- Computer Science
- Mid-level
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Pre-Training
Microsoft —United States
- $119,800 - $304,200 a year
- Full-time
- Computer science
- Computer Science
- Office
Multimodal
Microsoft —United States
- $119,800 - $304,200 a year
- Full-time
- Azure
- Computer Science
- System design
Senior AI Scientist
Atria Health and Research Institute —United States
- $180,000 - $260,000 a year
- Full-time
- Computer Science
- Urgent Care
- Master's degree
- Continuing education credits
- Health insurance
Quick Apply

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AI Systems Engineer, Codex Agents

OpenAI -
San Francisco, CA

Apply Now

Job Details

Full-time
$230,000 - $385,000 a year

Qualifications

AI models
Performance monitoring
Rust (programming language)
Tooling
Improving system uptime or availability
System performance optimization
AI tools proficiency
System design
Research
Prompt engineering
System design for system development
Virtualization tools
Machine intelligence
Model deployment
Distributed systems
Quality issues
Engineering research
Systems engineering
APIs
Production monitoring
Developing and maintaining backend systems
Monitoring system implementation
Engineering product development
Model training
System deployment
Open source contribution
Distributed computing
Benchmarking
Senior level
Model evaluation

Full Job Description

About The Team

The Codex Core Agents team builds the agent harness that turns model capability into real-world action. We own the systems around the model: prompting and interpreting model outputs, executing actions safely in real environments, and feeding production experience back into better models and better agent behavior.

This team sits close to research and works across the stack: harness, model interaction, inference, sandboxed execution, orchestration, evals, production reliability, and the performance envelope around tokens, latency, cost, capacity, and quality. The harness is open source and increasingly part of how models are trained and evaluated, making this one of the highest-leverage layers in Codex.

About The Role

We’re looking for engineers to build the AI systems that make Codex agents dependable in production. The ideal candidate is an agent-systems builder: hands-on across low-level systems and ML workflows, able to debug Codex behavior end to end across the harness, model behavior, inference/runtime stack, GPU fleet, and product surface.

You’ll work with research, infrastructure, and product to design agent harness capabilities, run experiments and ablations across the model + system prompt + harness stack, build frameworks for assessing production agent performance, and turn messy failures into durable improvements.

What You’ll Do

Design and build the core agent harness and execution loop that lets Codex agents interpret model outputs, use tools, execute code, and complete long-horizon tasks safely.

Build sandboxing, isolation, orchestration, state, and workflow infrastructure for agents operating in real development environments.

Develop evaluation, experimentation, and debugging systems that distinguish harness issues, model behavior, inference/runtime issues, and product failures.

Run ablations across prompts, model-facing interfaces, context construction, tool-use strategies, and harness behavior to improve solve rate, reliability, latency, and cost.

Improve observability, profiling, and diagnostics across the agent stack, from backend systems to inference, GPUs, and fleet capacity.

Work closely with research to make the harness trainable, measurable, and useful for improving frontier agentic models.

Build shared primitives that make Codex faster, safer, more reliable, and easier for other teams and open-source users to build on.

You Might Be A Good Fit If You

Have built or operated production systems in distributed systems, infrastructure, developer tooling, sandboxing, virtualization, cloud platforms, or ML systems.

Enjoy working across layers: Rust systems code, Python configuration layers, APIs, agent orchestration, evals, logs/traces, inference behavior, runtime constraints, and user outcomes.

Have hands-on experience with LLM applications, coding agents, evals, model deployment, inference, compiler/runtime performance, or developer platforms.

Care deeply about reliability, safety, performance, debuggability, and clean abstractions.

Can debug from evidence and move quickly from ambiguous production failures to practical, durable fixes.

Want to work close to research while still shipping changes to production

Still write meaningful code, show strong ownership, and can lead scoped or multi-team AI systems work.

Bonus Points

Deep Rust, systems, sandboxing, isolation, or low-level platform experience.

Experience with coding agents, agent harnesses, tool-using LLM systems, model evals, or post-training feedback loops.

Background in compilers, kernels, runtimes, inference optimization, GPU systems, benchmarking, profiling, or performance engineering.

Experience building production infrastructure used by many engineers or users under demanding reliability and security constraints.

Open-source infrastructure or developer-platform work with strong taste for APIs and usability.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see

OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement

.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through

this form

. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation

$230K – $385K + Offers Equity

Apply Now

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