Principal AI Researcher

Reposted 16 Days Ago
Be an Early Applicant
28 Locations
In-Office or Remote
Expert/Leader
Information Technology • Security • Software
The Role
As a Principal AI Researcher, you will lead AI research projects, mentor teams, and implement innovative AI technologies for Veracode's products.
Summary Generated by Built In

Looking for an innovative, high-growth, multi-award-winning company in one of the hottest segments of the security market?  Look no further than Veracode! 

Veracode is a global leader in Application Risk Management for the AI era. Powered by trillions of lines of code scans and a proprietary AI-generated remediation engine, the Veracode platform is trusted by organizations worldwide to build and maintain secure software from code creation to cloud deployment.

Learn more at www.veracode.com, on the Veracode blog, and on LinkedIn and Twitter


We are seeking a Principal AI Researcher to join Veracode’s AI & Innovation Research Group. The Principal AI Researcher will lead research projects for improving Veracode’s product portfolio or creating new products through the application of AI. They will also coach and guide engineering teams during the implementation of AI projects.

What you will be responsible for:

  • Conduct research to identify and implement new AI technologies and techniques across Veracode’s products
  • Design and implement experiments to evaluate the effectiveness of AI technologies through proof of concepts (PoCs)
  • Collaborate with cross-functional teams to integrate AI solutions into existing products and systems.
  • Stay current on industry trends and advancements in AI research and technology.
  • Mentor and guide researchers and developers across teams on AI techniques.

Required Skills:

  • Bachelor's or Master’s Degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field, or equivalent hands-on experience in AI development.
  • Proven track record as an AI Researcher / Engineer, with portfolio examples of successful machine learning or AI projects.
  • Proficiency in programming languages such as Python or Java.
  • Familiarity with data preprocessing, feature engineering, and model evaluation techniques essential for AI / ML projects.
  • Strong understanding of various machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and neural networks.
  • Solid grasp of mathematical concepts relevant to AI, such as linear algebra, calculus, and statistics.
  • Hands-on experience with Context Engineering, Fine-Tuning (e.g. LoRA), Retrieval-Augmented-Generation (RAG), Multi-Agent Patterns or other GenAI techniques.
  • Experience with AI / ML frameworks and tools like LangChain, Spring AI, LlamaIndex, AutoGen, Crew.AI, LangFuse, AWS Bedrock / SageMaker.
  • Experience with version control systems like Git, enabling effective collaboration and code management.
  • Strong problem-solving skills and the ability to think critically and analytically.
  • A passion for staying updated with the latest advancements in AI research and technology.

What we offer you

  • Outstanding Medical, Dental, and Vision Coverage to meet all your healthcare needs. 
  • Wellness benefits to help you focus on what’s most important.
  • “Take What You Need” time off policy.
  •  Extensive development and training offerings to help you grow your career at Veracode.
  • Generous 401k match to help save for your future.
  • Amazing community of professionals who take pride in what we do every day.

Compensation Transparency

In accordance with U.S. pay transparency laws, Veracode provides compensation transparency for roles based in the United States. Click here to view our compensation ranges by grade. Please note, specific compensation may be influenced by various factors including candidates experience, education, and work location.

Job Grade: Principal

Employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Fraudulent Recruitment Alert - Be Aware and Stay Informed

At Veracode, we prioritize a secure recruitment process. Unfortunately, fake recruitment and job offer scams are on the rise. They aim to deceive candidates through emails and calls to obtain sensitive information.

Here’s our recruitment promise to you:

  • Comprehensive Interview Process: We never extend job offers without a comprehensive interview process involving our recruitment team and hiring managers.
  • Offer Communications: Our job offers are not sent solely through email, and we will never ask you to pay for your own hardware.
  • Email Verification: Recruiting emails from Veracode will always originate from an “@veracode.com" email address.

If you have any doubts about the authenticity of an email, letter, or telephone communication claiming to be from Veracode, please reach out to us at [email protected] before taking any further action.


Skills Required

  • Bachelor's or Master's Degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field, or equivalent hands-on experience in AI development.
  • Proven track record as an AI Researcher / Engineer with portfolio examples of successful machine learning or AI projects.
  • Proficiency in programming languages such as Python or Java.
  • Familiarity with data preprocessing, feature engineering, and model evaluation techniques essential for AI / ML projects.
  • Strong understanding of various machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and neural networks.
  • Solid grasp of mathematical concepts relevant to AI, such as linear algebra, calculus, and statistics.
  • Hands-on experience with Context Engineering, Fine-Tuning (e.g. LoRA), Retrieval-Augmented-Generation (RAG), Multi-Agent Patterns or other GenAI techniques.
  • Experience with AI / ML frameworks and tools like LangChain, Spring AI, LlamaIndex, AutoGen, Crew.AI, LangFuse, AWS Bedrock / SageMaker.
  • Experience with version control systems like Git, enabling effective collaboration and code management.
  • Strong problem-solving skills and the ability to think critically and analytically.
  • A passion for staying updated with the latest advancements in AI research and technology.

Veracode Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Veracode and has not been reviewed or approved by Veracode.

  • Fair & Transparent Compensation A published, grade-based compensation framework outlines ranges and how pay is set. This transparency signals structured, market-aware pay practices.
  • Healthcare Strength Medical, dental, and vision coverage are paired with HSA/FSA options and life/AD&D insurance. Wellbeing tools such as Calm and Burnalong augment core health coverage.
  • Leave & Time Off Breadth A “Take What You Need” PTO model is paired with regular company “Recharge” days. Volunteering time and generous leave for key life events broaden the time-away offering.

Veracode Insights

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The Company
HQ: Burlington, Massachusetts
669 Employees
Year Founded: 2006

What We Do

Veracode is intelligent software security. ​The Veracode Software Security Platform continuously finds flaws and vulnerabilities at every stage of the modern software development lifecycle.​ Using powerful AI trained on a carefully curated, trusted dataset from experience analyzing trillions of lines of code, Veracode customers fix flaws faster with high accuracy. ​ Trusted by security teams, developers, and business leaders from thousands of the world’s leading organizations, Veracode is the pioneer, continuing to redefine what intelligent software security means

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