We're looking to hire a Machine Learning intern at Madkudu. We help B2B SaaS companies leverage their data effectively for various purposes, such as predictive analytics, lead scoring, customer segmentation, and revenue optimization. Last year, we successfully raised $18 million in our Series A funding round, led by Felicis Ventures, with participation from BGV, Alven, HarbourVest, Techstars, and prominent experts in GTM (Go-to-Market) and PLG (Product-Led Growth) strategies, such as Elena Verna, former CMO at Miro, Darius Contractor, CPO at Vendr, and Sahil Mansuri, CEO of Bravado.

If this sounds like you, then apply today! We can't wait to get to know you!

Why this mission is very important
Our platform 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!

What does Engineering at MadKudu look like?
We're growing fast but we're still a human-sized company (50 people) which means you're joining a rocket ship right before liftoff ⚡️We're across two continents and countries but the Engineering Team is located in Paris. Joining the team, you'll have the opportunity to grow alongside your colleagues and learn new things every single day.
We've built our application using Node.js, Python and AWS services and are constantly improving our stack to match our needs. We're big proponents of technology choices that maximize ownership, flexibility, and asynchronous work (continuous delivery, microservices, infrastructure-as-code).
We're working with some amazing customers, including some that you probably already know as an engineer: MongoDB, LucidChart, etc.
We are currently looking for students able to do a long term internship of 6 months.

Responsibilities & activities

• 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).

Founded in 2015, MadKudu is focused on tackling one of the hardest challenges facing businesses today: relevance at scale. Today we help marketing & sales teams at B2B companies make the best decisions at every phase of the customer journey - smart forms that dynamically re-route high-potential leads to a 'fast lane,' real-time lead scoring to help prioritize the 20% of leads that generate 80% of revenue, and topical enrichment for outbound teams so they can focus on what they do best: helping companies who need their product get it faster.

Founders Sam Levan (CEO) & Francis Brero (CRO) have over 25 years of combined experience in the predictive analytics space, and are combining machine learning and an innovative methodology to help SaaS companies make the best decisions at every step of the customer funnel.
MadKudu is based in Mountain View, California & Paris, France - two places known for brilliant engineers, delicious wine and a love for the outdoors. Last year, we raised our Series A of $18 million last year, led by Felicis with participation from BGV, Alven, HarbourVest, Techstars and notable GTM and PLG experts like Elena Verna, former CMO at Miro, Darius Contractor, CPO at Vendr, or Sahil Mansuri, CEO of Bravado.