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Ai Research Engineer Jobs (NOW HIRING)

As an AI Research Engineer, you will conduct original research in automated reasoning and AI-driven code analysis, inventing novel solutions and collaborating with engineering teams to integrate ...

As an AI Research Engineer, you will conduct original research in automated reasoning and AI-driven code analysis, inventing novel solutions and collaborating with engineering teams to integrate ...

AI Research Engineer

San Francisco, CA · On-site

$214K - $285K/yr

AI Research Engineers at Hex partner with product teams to build industry-leading AI experiences such as the Notebook Agent. In the process, AI Research Engineers will run experiments, fine-tune ...

Mission Design, train, ship, iterate on, and innovate on the AI brains behind The Path's AI Therapist. Combine research, data science, and engineering to create models, orchestration, and evaluation ...

AI Research Engineer

San Francisco, CA · On-site

$100K - $300K/yr

As an AI Research Engineer, you will work at the frontier of automated reasoning and AI-driven code analysis -- inventing novel solutions, prototyping fast, and pivoting when first ideas don't pan ...

AI Research Engineer

New York, NY · On-site

$200K - $400K/yr

The Role We're hiring an AI Research Engineer to push the frontier of agentic LLMs and reinforcement learning for our agentic code generation tool. You'll design and run experiments, build agents ...

AI Research Engineer

San Francisco, CA · On-site

$100K - $300K/yr

As an AI Research Engineer, you will work at the frontier of automated reasoning and AI-driven code analysis - inventing novel solutions, prototyping fast, and pivoting when first ideas don't pan out.

Mission Design, train, ship, iterate on, and innovate on the AI brains behind The Path's AI Therapist. Combine research, data science, and engineering to create models, orchestration, and evaluation ...

... to balance research and engineering to your own accord. You will work in a lab environment ... Role; -Develop, fine tune and deploy advanced AI models -implement fine-tuning techniques to adapt ...

$300K - $400K/yr

About the Role Join Anthropic as an Applied AI Research Engineer to translate large language model capabilities into customer-facing products and enablement. You will build demos, evals, and ...

Mission Design, train, ship, iterate on, and innovate on the AI brains behind The Path's AI Therapist. Combine research, data science, and engineering to create models, orchestration, and evaluation ...

We are looking for an experienced AI Research Engineer to join our Duolingo Monetization team. The ideal candidate will have a proven track record as an AI research engineer, with extensive ...

We are looking for an experienced AI Research Engineer to join our Duolingo Monetization team. The ideal candidate will have a proven track record as an AI research engineer, with extensive ...

Senior AI Research Engineer

Pittsburgh, PA · On-site

$101K - $139K/yr

We are looking for a Senior AI Research Engineer to join our Duolingo Video Call team. The ideal candidate will have a proven track record as an AI research engineer, with experience across various ...

We're hiring Research Engineers to join teams across Meta working at the intersection of frontier AI and real-world product impact. You'll be embedded directly in Facebook's ecosystem, helping ...

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Ai Research Engineer information

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$37K

$106K

$142.5K

How much do ai research engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for ai research engineer in the United States is $106,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $104,000.00 per year, depending on experience, location, and employer.

What does an AI Research Engineer do?

An AI Research Engineer designs, develops, and tests artificial intelligence models and algorithms. They work on advancing the state-of-the-art in machine learning, deep learning, and related fields, often collaborating with data scientists and software engineers. Their responsibilities typically include experimenting with new approaches, implementing prototypes, publishing research findings, and helping to integrate AI solutions into products or services. The role requires strong programming skills, a deep understanding of mathematics and statistics, and the ability to keep up with rapid advancements in AI technology.

What are the key skills and qualifications needed to thrive as an AI Research Engineer?

To thrive as an AI Research Engineer, you need strong expertise in mathematics, machine learning algorithms, programming (especially Python), and typically a graduate degree in computer science or a related field. Familiarity with deep learning frameworks like TensorFlow or PyTorch, experience using large datasets, and sometimes knowledge of cloud computing platforms are commonly required. Creativity, problem-solving abilities, and effective collaboration are crucial soft skills that distinguish top performers in this role. These skills and qualities are essential for developing innovative AI models, solving complex research problems, and contributing impactful solutions in a rapidly evolving field.

What are some common challenges AI Research Engineers face when transitioning research models into production environments?

AI Research Engineers often encounter challenges when moving models from research to production, such as ensuring scalability, optimizing for real-world data variability, and maintaining model performance under resource constraints. Additionally, integrating research models with existing systems and workflows can require close collaboration with software engineers and data engineers. Addressing issues like reproducibility, monitoring, and model retraining is crucial for long-term success in production settings. Proactive communication and a strong understanding of both research and engineering principles help overcome these hurdles.

What is the difference between Ai Research Engineer vs Data Scientist?

AspectAi Research EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with machine learning frameworksDegree in Statistics, Computer Science, or related fields; strong analytical skills
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness analytics teams, data-driven companies, consulting firms
Employer & Industry UsageTech companies, research institutions, AI startupsFinance, healthcare, marketing, e-commerce
Common Search & Comparison IntentUnderstanding roles in AI research and developmentAnalyzing data to inform business decisions

While both roles involve working with data and algorithms, Ai Research Engineers focus on developing new AI models and advancing AI technology, often in research settings. Data Scientists analyze and interpret complex data to help organizations make strategic decisions. The roles overlap in skills like programming and machine learning, but their primary goals and work environments differ.

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Infographic showing various Ai Research Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 88% Full Time, 9% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $106,012 per year, or $51 per hour.

AI Research Engineer

San Francisco, CA • On-site

Full-time

Re-posted 5 days ago


Job description

Job Summary:
Cogent Security is an Applied AI Lab focused on building AI agents for cybersecurity. As an AI Research Engineer, you will conduct original research in automated reasoning and AI-driven code analysis, inventing novel solutions and collaborating with engineering teams to integrate breakthroughs into Cogent's core platform.
Responsibilities:
• Conduct original research at the intersection of AI and automated code reasoning, advancing the state of the art in areas such as static/dynamic analysis, formal verification, and automated testing
• Invent and apply novel AI techniques to challenges in code reasoning and code generation, from early hypothesis through working prototype
• Design and execute automated testing and fuzzing strategies to validate and stress-test systems under development
• Navigate ambiguity with a proactive mindset — adapt quickly when initial approaches don't pan out and iterate toward robust solutions
• Publish research findings at top-tier conferences and peer-reviewed journals, contributing to the broader scientific community
• Collaborate with engineering and product teams to translate research breakthroughs into Cogent's core AI platform
• Stay on top of cutting-edge developments in ML and program analysis, and propose incorporating them into Cogent's systems where appropriate
Qualifications:
Required:
• Experience in Automated Reasoning: Hands-on experience with static/dynamic analysis, formal verification, and/or automated testing and fuzzing
• AI Expertise: A track record of developing or applying AI/ML techniques to code reasoning or code generation problems
• Research Publication: Demonstrated research output — papers accepted at recognized conferences or peer-reviewed journals
• Education: Degree in Computer Science or a closely related technical field (BS, MS, or PhD)
• Independence: A highly self-directed, proactive, and self-starting attitude — you identify problems, propose solutions, and execute without being told
• Mission Alignment: A genuine passion for Cogent's mission and a belief that this work matters
Preferred:
• Experience in cybersecurity — knowledge of vulnerability classes, exploit techniques, or secure-by-design systems
• Familiarity with Cloud Infrastructure as Code (IaC) — tools like Terraform, Pulumi, CDK, or equivalent
Company:
Cogent supports government and private sector customers responsible for protecting some of the world’s most critical assets. Founded in 2010, the company is headquartered in Alexandria, USA, with a team of 51-200 employees. The company is currently Growth Stage.