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Undergraduate Software Engineering Internship - Summer 2024

Hybrid (In the MVL Seattle Office 3 days per week) / Engineering Internship / Full-Time

Who are we?

Madrona Venture Labs (MVL) is the startup studio and incubation arm of Madrona Venture Group – the leading venture capital firm in the Pacific Northwest. We build ambitious, innovative companies in the domains of AI-driven applications, automation, digital transformation of consumer experiences, and the future of work. Our team hustles and builds alongside new founders to turn their ideas into venture-scale businesses.

Life here is fast-paced, challenging, and a whole lot of fun. If you want to be an entrepreneur, MVL is the opportune place for you to learn the fundamentals of what it takes to build a technology startup from day 0.

To learn more about MVL, check out our Manifesto.

Who are you?

As an intern with MVL, you will get a seat at the table as our team scales out initial ideas and businesses on the cutting-edge of technology. This will be a hands-on learning experience where you will contribute to many of the crucial activities involved with starting and running venture-backed startups, including exposure to product sprints, ideation sessions, customer interviews, and business planning.

Our internship runs for ten weeks over the summer for 40 hours weekly. We expect interns to operate in-person with our team in Seattle three days a week, with the option to work remotely two days a week. Upon acceptance, you will be paired with a specific partner on the MVL team and will report directly to them.

Responsibilities

• Build GenAI enterprise applications using the latest application toolkits, in collaboration with our technical, product, and design teams.
  
• Experiment with prompt engineering to test the feasibility of early-stage research ideas.
  
• Assist our portfolio companies as they develop prototypes and wireframes.
  
• Participate in regular meetings and activities with the MVL core team.
  
• Stay up-to-date on technological enhancements and applications, especially those related to GenAI.
  

Qualifications

• Creative thinker who thrives on problem-solving and embraces ambiguity.
  
• Intense intellectual curiosity about emerging technologies, including Large-Language Models (LLMs.) Strong preference for applicants who have experimented with LLMs through application toolkits, such as langchain, llama-index, auto-gpt, autogen, or similar platforms. 
  
• Experience in Javascript and or Python. Understanding of data structures and algorithms is preferred but not required.
  
• Junior or Senior student actively enrolled in an accredited Computer Science, Math, or a related program with a passion for entrepreneurship and desire to work at or found a startup in the future.
  
• Effective communicator and collaborator; able to successfully engage with startup CEOs and venture capitalists.
  
• Previous internship experience with software companies is strongly preferred but not required.
  
• Available to work 40 hours per week in our Seattle office for at least ten weeks during the summer.
  

If you’re interested in a Summer 2024 internship, please email opportunities@madronavl.com with the following information:

• Your name
  
• University
  
• Major(s) or area(s) of interest/study
  
• Resume and or LinkedIn
  
• What you’re hoping to gain from the experience
  
• An example of a prototype or POC you’re proud of and willing to speak to during an interview
  
• Your availability over the summer
  
• By when you need to make a decision
  

Don’t meet every single requirement listed above? That's ok. If you’re excited about this role and our mission to support startup founders, but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

Madrona Venture Labs is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.