MadKudu is the one-stop shop for B2B Saas companies who want to optimize their Revenue automation game. Madkudu translates buyer signals (1st & 3rd party data) into automated actions to generate more pipeline.
We are a tech startup based in San Francisco, CA. We raised $30m from some of the best VCs in the world (Felicis, BGV, Alven), have revenue, and amazing customers (Figma, MongoDB, Unity, etc.)
As a Machine Learning Engineer Intern at MadKudu, you will have the opportunity to contribute to our AI innovation and learn from our experienced team. You will collaborate with our team to implement and improve our AI solutions, gaining valuable experience in a fast-paced startup environment.
Our AI informs go-to-market decisions at 100 companies, we influence how businesses spend millions of marketing and sales budgets. This mission matters to MadKudu but more importantly to all its customers!
Responsibilities
- Contribute to the implementation and improvement of our AI solutions
- Maintain the existing AI solutions, monitor and troubleshoot production issues
- Learn and apply best practices in machine learning development and deployment
- Apply software engineering principles to ensure code maintainability and reusability
- Participate in code reviews and learn from senior engineers' feedback
Skills that will help crush it in this position
- Strong academic background in machine learning, data science, or related fields.
- Good coding skills (Python) and the ability to quickly prototype ideas.
- Enthusiasm for learning and applying new concepts.
- Interest in understanding user needs.
- Excellent communication and collaboration skills.
- Desire to work in a fast-paced startup environment and contribute to a team.
Bonus skills
- We appreciate if you have experience with proprietary and open-sourced LLMs.
- Experience with LangChain, OpenAI, Transformers (all of this are nice to have but not mandatory).
Interview process
- Interview with Recruiter Ruben Hernandez – 30 minutes
- Work sample (Async) - 5 business days
- Interview with Hiring Manager Duc Cao – 45 minutes
- Interview with CTO Maxime Gaudin – 30 minutes
- Interview with Co Founder & CPO Francis Brero - 30 minutes
- Offer
If you feel like you don’t have all the necessary skills yet but that this is where you want to be in your next position and you feel up to the challenge, please apply!