At a Glance
- Tasks: Support AI/ML projects and assist in technical sales activities.
- Company: Join Snowflake, a leader in the software industry with a vibrant startup culture.
- Benefits: Paid internship, flexible hours, catered lunches, and access to gaming consoles.
- Other info: Enjoy a dynamic environment with opportunities for growth and mentorship.
- Why this job: Launch your career in AI/ML while making real contributions to impactful projects.
- Qualifications: Must be enrolled in a relevant college/university program with a passion for AI/ML.
The predicted salary is between 20000 - 30000 £ per year.
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI‑native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high‑trust collaborator that is core to how you solve problems and accelerate your impact. We look for low‑ego individuals who thrive in dynamic and fast‑moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn’t just to execute a function, but to help redefine the future of how work gets done.
We are seeking a highly motivated and curious individual to join our team as an AI/ML Specialist Support Intern in the Applied Field Engineering team. This role is designed to provide foundational experience by assisting the Specialist in combining technical learning with the interpersonal skills and curiosity required to drive sales and innovation in this rapidly evolving market.
WHAT WE OFFER:
- Paid, full‑time internships in the heart of the software industry
- Post‑internship career opportunities (full‑time and/or additional internships)
- Exposure to a fast‑paced, yet fun, startup culture
- A chance to work with world‑class experts on challenging projects
- Opportunity to provide meaningful contributions to a real system used by customers
- High level of access to supervisors (manager and mentor), detailed direction without micromanagement, feedback throughout your internship, and a final evaluation
- Stuff that matters: treated as a member of the Snowflake team, included in company meetings/activities, flexible hours, casual dress code, accommodations to work from home, swag and much more
- Catered lunches, access to gaming consoles, recreational games, happy hours, company outings, and more
- Embraced as a full member of the diverse Snowflake engineering team
WHAT WE EXPECT:
- Must be actively enrolled in an accredited college/university program during the time of the internship (from 3rd year of Bachelors degree, MS or PHD in progress)
- Duration: 3 months
- Target start dates: August onwards
- Fluent English language skills (oral and written)
Essential:
- Generative AI: Strong interest and foundational understanding of using LLMs and related technology (e.g., vector dbs, embeddings, Agents) for applications like chat assistants or unstructured data processing.
- Machine Learning: Academic or project experience with the standard Python stack, including libraries such as pandas, numpy, and sklearn.
- Programming: intermediate coding ability in Python (production grade code is not required)
Highly Desirable:
- Solution Awareness: Familiarity with the basic principles of architecting scalable technical solutions across diverse industries.
- Snowflake Experience: Basic exposure to or interest in the Snowflake AI/ML ecosystem.
- Data Engineering: Exposure to adjacent/overlapping disciplines is beneficial.
- ML Ops: Foundational understanding of ML Ops concepts like feature stores or model registries.
WHAT YOU WILL LEARN/GAIN:
- Sales Support & Learning: Observe and assist the team in technical sales activities to learn how AI/ML solutions are positioned within the sales engineering organization.
- Technical Assistance: Conduct research on AI/ML solution design topics, including best practices for scalability, performance, and security. Assist with the development and testing of initial AI/ML prototypes in Python under the direction of the team. Monitor industry advancements and summarise findings to identify potential opportunities for integrating new technologies.
- Customer Engagement Support: Help prepare materials, slides, and talking points for technical presentations, workshops, and demonstrations aimed at customers and partners. Document initial findings during customer challenges to support the team’s troubleshooting efforts.
- Team Collaboration: Assist the team in fostering collaboration with product teams. Support alignment with sales, marketing, and the wider ecosystem (GSIs, CSPs, ISVs) by preparing summary reports and tracking follow‑up items. Contribute to initial research or drafting for thought leadership content, such as blog posts, white papers, or quickstarts.
WHAT WE EXPECT:
- Curiosity & Learning: Eagerness to learn about industry trends and align with technical sales strategies.
- Effective Communication: Ability to clearly articulate technical concepts and a willingness to improve presentation skills for diverse audiences.
- Customer Focus: Interest in understanding and contributing to addressing customer needs.
- Team Player: Proactive in supporting and collaborating with cross‑functional teams.
- Adaptability: Comfortable navigating ambiguity and adapting to rapid changes.
- Integrity and Empathy: Commitment to transparency, honesty, and understanding in professional interactions.
- Internal Motivation: Demonstrates self‑drive, passion, and a proactive approach to continuous improvement.
This is an excellent opportunity to launch your career in AI/ML by directly supporting high‑impact product initiatives, gaining foundational knowledge in technical sales, and contributing to meaningful customer and industry success. If you are a passionate technologist eager to learn and grow, we invite you to bring your curiosity and drive to our team.
Applied Field Engineer AI/ML Intern (3 months) – London 2026 employer: Snowflake Careers and Employment
At Snowflake, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to innovate and grow. As an intern in London, you'll enjoy a supportive environment with access to world-class experts, flexible working hours, and engaging team activities, all while contributing to cutting-edge AI/ML projects. With opportunities for post-internship career advancement and a focus on personal development, Snowflake is the ideal place for aspiring technologists to launch their careers.
Contact Details:
Snowflake Careers and Employment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Applied Field Engineer AI/ML Intern (3 months) – London 2026
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Snowflake on LinkedIn. Ask them about their experiences and any tips they might have for landing the internship. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your AI/ML knowledge. Be ready to discuss your understanding of LLMs, Python libraries, and any relevant projects you've worked on. Show us your passion and curiosity!
✨Tip Number 3
Practice your communication skills! You’ll need to articulate technical concepts clearly. Try explaining your projects to friends or family who aren’t in tech. This will help you simplify complex ideas for diverse audiences.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the Snowflake team. Let’s get you started on this exciting journey!
We think you need these skills to ace Applied Field Engineer AI/ML Intern (3 months) – London 2026
Some tips for your application 🫡
Show Your Curiosity:When writing your application, let your curiosity shine through! Share specific examples of how you've engaged with AI/ML technologies or any projects that sparked your interest. We love seeing candidates who are eager to learn and explore new ideas.
Tailor Your Application:Make sure to customise your application for the role. Highlight relevant experiences and skills that align with the job description. This shows us that you understand what we're looking for and that you're genuinely interested in joining our team.
Be Clear and Concise:Keep your writing clear and to the point. Use straightforward language to explain your experiences and skills. We appreciate applications that are easy to read and get straight to the heart of what makes you a great fit for the role.
Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the position. Plus, it’s super easy to do!
How to prepare for a job interview at Snowflake Careers and Employment
✨Show Your Curiosity
Demonstrate your eagerness to learn about AI/ML and how it can transform industries. Prepare questions that show you’ve researched Snowflake and its role in the AI/ML ecosystem. This will highlight your genuine interest and proactive mindset.
✨Brush Up on Technical Skills
Make sure you're comfortable discussing Python and relevant libraries like pandas and numpy. Be ready to share any projects or experiences where you've applied these skills, as this will showcase your technical foundation and problem-solving abilities.
✨Communicate Clearly
Practice articulating complex technical concepts in simple terms. Since effective communication is key in this role, consider doing mock interviews with friends or mentors to refine your presentation skills and ensure you can engage diverse audiences.
✨Embrace Adaptability
Prepare to discuss how you've navigated changes or ambiguity in past experiences. Snowflake values individuals who thrive in dynamic environments, so sharing examples of your adaptability will demonstrate that you’re a great fit for their team culture.