Software Engineer AI Jobs
Software Engineer AI jobs are open across tech, finance, healthcare, and defense, from new-grad to principal and staff levels, with specializations in machine learning infrastructure, generative AI systems, and model evaluation. Find a role that fits from the openings below and apply directly.
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About The Team
The Safety Systems team is dedicated to ensuring the safety, robustness, and reliability of AI models and their deployment in the real world. Learn more about OpenAI’s approach to safety. Building on the many years of our practical alignment work and applied safety efforts, Safety Systems addresses emerging safety issues and develops new fundamental solutions to enable the safe deployment of our most advanced models and future AGI, to make AI that is beneficial and trustworthy.
About The Role
At OpenAI, we're dedicated to advancing artificial intelligence, and we know that creating a secure and reliable platform is vital to our mission. That's why we're seeking a software engineer to help us build out our trust and safety capabilities. In this role, you'll work with our entire engineering team to design and implement systems that detect and prevent abuse, promote user safety, and reduce risk across our platform. You'll be at the forefront of our efforts to ensure that the immense potential of AI is harnessed in a responsible and sustainable manner.
Your Responsibilities
- Architect, build, and maintain anti-abuse and content moderation infrastructure designed to protect us and end users from unwanted behavior.
- Work closely with our other engineers and researchers to utilize both industry standard and novel AI techniques to measure, monitor and improve AI models’ alignment to human values.
- Diagnose and remediate active incidents on the platform and build new tooling and infrastructure that address the root causes of system failure.
You Might Thrive In This Role If
- You have built and run production services in a high growth, rapidly scaling environment.
- You can debug live issues and restore systems quickly.
- You have worked on content safety, fraud, or abuse, or are motivated and excited to work on present-day (“now-term”) AI safety.
- You have experience with Python or with modern languages such as C++, Rust, or Go, and are able to quickly ramp up on Python.
- You understand the trade-offs of capabilities and risks and navigate them to deploy novel products and features safely.
- You can critically assess risks of a new product or feature and devise innovative solutions to mitigate these risks without harming the product experience.
- You’re pragmatic. You know when to build a quick, good-enough fix, and when to invest in a robust, lasting solution.
- You possess strong project management skills. You are self-directed and can remove roadblocks to drive projects to completion with minimal guidance.
- You’ve deployed classifiers or machine learning models, or are excited to learn about modern ML infra.
Our tech stack
- Our infrastructure is built on Terraform, Kubernetes, Azure, Python, Postgres, and Kafka.
- While we value experience with these technologies, we are primarily looking for engineers with strong technical skills who understand the fundamental problems these tools solve, and can quickly pick up new tools and frameworks.
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, and requests can be made via this link.
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 Range: $185K - $325K
About The Team
The Safety Systems team is dedicated to ensuring the safety, robustness, and reliability of AI models and their deployment in the real world. Learn more about OpenAI’s approach to safety. Building on the many years of our practical alignment work and applied safety efforts, Safety Systems addresses emerging safety issues and develops new fundamental solutions to enable the safe deployment of our most advanced models and future AGI, to make AI that is beneficial and trustworthy.
About The Role
At OpenAI, we're dedicated to advancing artificial intelligence, and we know that creating a secure and reliable platform is vital to our mission. That's why we're seeking a software engineer to help us build out our trust and safety capabilities. In this role, you'll work with our entire engineering team to design and implement systems that detect and prevent abuse, promote user safety, and reduce risk across our platform. You'll be at the forefront of our efforts to ensure that the immense potential of AI is harnessed in a responsible and sustainable manner.
Your Responsibilities
- Architect, build, and maintain anti-abuse and content moderation infrastructure designed to protect us and end users from unwanted behavior.
- Work closely with our other engineers and researchers to utilize both industry standard and novel AI techniques to measure, monitor and improve AI models’ alignment to human values.
- Diagnose and remediate active incidents on the platform and build new tooling and infrastructure that address the root causes of system failure.
You Might Thrive In This Role If
- You have built and run production services in a high growth, rapidly scaling environment.
- You can debug live issues and restore systems quickly.
- You have worked on content safety, fraud, or abuse, or are motivated and excited to work on present-day (“now-term”) AI safety.
- You have experience with Python or with modern languages such as C++, Rust, or Go, and are able to quickly ramp up on Python.
- You understand the trade-offs of capabilities and risks and navigate them to deploy novel products and features safely.
- You can critically assess risks of a new product or feature and devise innovative solutions to mitigate these risks without harming the product experience.
- You’re pragmatic. You know when to build a quick, good-enough fix, and when to invest in a robust, lasting solution.
- You possess strong project management skills. You are self-directed and can remove roadblocks to drive projects to completion with minimal guidance.
- You’ve deployed classifiers or machine learning models, or are excited to learn about modern ML infra.
Our tech stack
- Our infrastructure is built on Terraform, Kubernetes, Azure, Python, Postgres, and Kafka.
- While we value experience with these technologies, we are primarily looking for engineers with strong technical skills who understand the fundamental problems these tools solve, and can quickly pick up new tools and frameworks.
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, and requests can be made via this link.
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 Range: $185K - $325K
See All 4,190+ Software Engineer AI Jobs
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Find Software Engineer AI JobsSoftware Engineer AI Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- Apple286
- NVIDIA103
- Google99
- Capital One96
- TikTok80
Top Industries Hiring
- Technology & Software1,727
- Electronics & Hardware452
- Artificial Intelligence313
- Consulting & Professional Services294
- Banking & Financial Services236
What Employers Look For
The qualifications that appear most often in software engineer AI jobs.
- Bachelor's or master's degree in computer science, machine learning, or a related field
- Proficiency in Python and hands-on experience with PyTorch or TensorFlow
- Experience building, fine-tuning, or deploying large language models or foundation models
- Familiarity with cloud ML platforms such as AWS SageMaker, Google Vertex AI, or Azure ML
- Understanding of MLOps practices including model versioning, monitoring, and CI/CD for ML pipelines
- Experience with data pipelines, feature engineering, and working with large-scale datasets
Tips for Your Software Engineer AI Job Search
Tailor your resume to model types
List the specific model architectures you've worked with, such as transformer-based models, diffusion models, or reinforcement learning systems. Recruiters screening software engineer ai resumes look for these terms before they read anything else on the page.
Show evaluation and safety work
Many software engineer ai roles now require experience with benchmarking, red-teaming, or RLHF pipelines. If you've run evals or built safety guardrails, put those projects front and center rather than burying them under general ML work.
Filter openings by inference versus training focus
Software engineer ai roles split sharply between training infrastructure and inference optimization. Know which side you're strongest on and filter for it. Applying to both without adjusting your application often reads as unfocused to hiring teams.
Apply early to roles that fit
Migrate Mate lists software engineer ai openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a systems design answer for AI scale
Software engineer ai interviews almost always include a systems design round focused on serving models at scale, handling latency constraints, or managing GPU resource allocation. Prep these scenarios specifically, not generic distributed systems answers.
Negotiate with deployment artifacts in mind
When you reach the offer stage, ask about compute access, model access tiers, and publication rights alongside salary. These terms matter as much as base pay for a software engineer ai role and are often negotiable earlier than candidates realize.
Software Engineer AI Jobs: Frequently Asked Questions
Which companies are hiring the most software engineer ais?
The companies hiring the most software engineer ais right now include Apple, NVIDIA, and Google, with the largest share of openings in California, Texas, and New York, based on current listings on Migrate Mate as of June 2026. Demand is concentrated at companies building or integrating generative AI products across both consumer and enterprise markets.
How many software engineer ai jobs are remote?
About 31% of software engineer ai openings are fully remote or hybrid as of June 2026, making it one of the more remote-accessible engineering disciplines. Roles focused on model evaluation, prompt engineering infrastructure, and AI safety research tend to have the highest share of fully remote positions compared to hardware-adjacent or inference optimization roles.
How do you become a software engineer ai?
Start by building a solid foundation in Python, linear algebra, and statistics, then move into machine learning fundamentals through coursework or self-study. Work through hands-on projects involving model training, fine-tuning, and evaluation using open-source frameworks. Contribute to public AI projects or publish reproducible experiments to demonstrate applied skill. Then target roles that match your current depth, whether that's ML infrastructure, model development, or AI product engineering.
Can you get hired as a software engineer ai with little experience?
Yes, entry-level and associate software engineer ai roles exist, but they require demonstrated hands-on project work rather than credentials alone. Build and document at least two end-to-end projects, such as a fine-tuned open-source model or a retrieval-augmented generation system, and publish them publicly. Apply to companies known for structured onboarding in AI teams, and target roles that mention mentorship or research engineering rotations.
What does the software engineer ai interview process look like?
The software engineer ai interview process typically includes a recruiter screen, a technical phone interview covering ML concepts and coding, a take-home or live coding exercise involving model implementation or debugging, and a systems design round focused on AI infrastructure or serving at scale. Final rounds often include a cross-functional interview with product or research stakeholders and may include a presentation of prior project work.
Where can I find and apply to software engineer ai jobs?
You can find and apply to software engineer ai jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your experience and specialization, then apply directly to each one that fits. No intermediary steps are needed between finding a role and submitting your application.
See All 4,190+ Software Engineer AI Jobs
Jump back to the full list of openings and apply to any software engineer AI role that fits.
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