At a Glance
- Tasks: Lead AI research projects and mentor teams to innovate Veracode's product portfolio.
- Company: Join Veracode, a multi-award-winning leader in Application Risk Management.
- Benefits: Enjoy comprehensive healthcare, wellness benefits, and generous time off policies.
- Other info: Collaborative environment with extensive career development opportunities.
- Why this job: Make a real impact in the AI era while working with cutting-edge technologies.
- Qualifications: Bachelor's or Master's in Computer Science or related field, with proven AI experience.
The predicted salary is between 80000 - 100000 € per year.
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 organisations worldwide to build and maintain secure software from code creation to cloud deployment.
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. Please note, specific compensation may be influenced by various factors including candidates' experience, education, and work location.
At Veracode, we prioritise a secure recruitment process. Unfortunately, fake recruitment and job offer scams are on the rise. 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 careers@veracode.com before taking any further action.
Principal AI Researcher employer: Veracode
Veracode is an innovative and high-growth leader in Application Risk Management, offering a dynamic work environment that fosters creativity and collaboration. Employees benefit from outstanding healthcare coverage, a flexible 'Take What You Need' time off policy, and extensive training opportunities to support their professional growth. With a strong community of dedicated professionals and a commitment to staying at the forefront of AI technology, Veracode is an exceptional employer for those seeking meaningful and rewarding careers in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Principal AI Researcher
✨Tip Number 1
Network like a pro! Connect with folks in the AI and tech community on LinkedIn, attend meetups, or join relevant online forums. You never know who might have the inside scoop on job openings at Veracode or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, experiments, and any cool stuff you've built. This is your chance to shine and demonstrate your expertise to potential employers at Veracode.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your past projects and how they relate to Veracode's mission. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the Veracode team.
We think you need these skills to ace Principal AI Researcher
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with AI technologies and programming languages like Python or Java. We want to see your portfolio, so include examples of your successful projects that demonstrate your expertise!
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to match the job description. Mention specific skills and experiences that align with what we’re looking for in a Principal AI Researcher.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use straightforward language and avoid jargon unless it’s relevant. We appreciate a well-structured application that’s easy to read!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us without any hiccups. Plus, you’ll find all the info you need about the role and our company there!
How to prepare for a job interview at Veracode
✨Know Your AI Stuff
Make sure you brush up on the latest AI technologies and techniques relevant to the role. Be ready to discuss your past projects, especially those involving machine learning algorithms and frameworks like LangChain or AWS SageMaker. Show them you’re not just familiar with the theory but have hands-on experience too!
✨Prepare for Technical Questions
Expect some deep dives into your technical knowledge. Practice explaining complex concepts like Context Engineering or Fine-Tuning in simple terms. You might also be asked to solve problems on the spot, so get comfortable with coding challenges in Python or Java.
✨Show Your Collaborative Spirit
As a Principal AI Researcher, you'll need to work with cross-functional teams. Be prepared to share examples of how you've successfully collaborated in the past. Highlight your mentoring experiences and how you've guided others in AI projects—this will show you can lead as well as innovate.
✨Stay Current and Curious
Demonstrate your passion for AI by discussing recent advancements or trends in the field. Bring up any relevant articles, papers, or conferences you've attended. This shows you're not just looking for a job; you're genuinely interested in contributing to the future of AI at Veracode.
