Operations Intern Part-time

NannyML - creators of an Open Source Python library for machine learning monitoring, are looking for multiple Operations interns to help across business operations.

**About Us**

NannyML builds products for post-deployment data science. We focus on detecting model performance degradation without needing access to ground-truth data. We have researched and developed state-of-the-art algorithms that now form part of our OSS library and the NannyML Cloud product.

The founders are experienced entrepreneurs who previously founded a specialized machine learning company, where they became experts at building machine learning systems. At NannyML, we take pride in hiring the best people and getting out of their way so that they can make great things happen.

We are backed by tech leaders who have founded and grown top data unicorns, like the co-founder of Collibra (the first Belgian unicorn), Zehan Wang (ex-head of Cortex AI at Twitter); and deep tech VCs like Lunar Ventures. At NannyML, we are building Free Open Source Software to estimate the performance of ML models after deployment. We’re creating a one-of-a-kind company by being one of the initial players in the growing ML Monitoring field. By focusing on post-deployment data science and performance estimation, we’ll define the industry and science for decades to come.

**About the Role**

**Responsibilities**

There is a variety of activities you can do at nannyML, depending on your skills and preference. Some of the tasks include:

- Organize nannyML events including:

- Promote, organize and process webinars
- Seeking public speaking engagements for founders and other team members.
- Organizing meetups around Europe
- Manage marketing efforts and play an integral role as we grow our community. This includes:

- Content & social media publication & management
- Paid marketing experimentation
- Support with Sales Operations as we grow in number of clients
- Automate manual processes to increase efficiency.
- Work closely with the Growth team to build and improve processes and systems across the company.

**Requirements**:

- Extreme attention to detail, organization skills and responsiveness.
- Exceptional communication skills in English - both oral and written
- You are an extremely fast learner and can pick up new concepts with ease
- Proven ability to manage time efficiently and prioritize multiple stakeholders, functions and tasks
- You are extremely proactive, independent and comfortable in proposing new ideas. This also means holding your ground when you believe you are right.
- _Be available to start in November. We're looking to fill this role immediately._
- You live in or are willing and able to move to EU time zones, and you are open to travel roughly once per quarter

**_Nice to haves_**
- STEM background / passion for ML / work experience in Engineering
- Prior work or internship experience in a fast-paced environment such as startups or tech sales

**Benefits**
- The opportunity to be a part of the exciting early stages of a well-funded, European-based startup that has massive growth and venture potential
- Fully Remote Working Environment
- 50€/month development budget to learn Data Science, Marketing, Sales or anything you like that’s relevant for your role.
- 45€/month well-being allowance (for yoga, gym etc.)
- Compensation: up to 750 EUR/month for half-time

**_Our values_**

We value freedom with responsibility, transparency and a growth mindset. We believe in generating our own luck by trying out new stuff, always asking, constantly learning, reading and meeting new people with different world-views. We appreciate that from time to time, things may break in the process. Working at NannyML, you will have full autonomy to make impactful decisions and prioritise and organise your work the way you see fit. You will work closely with the founders.

❤ **_Why you will love to join NannyML_**

We are a rocketship
- Working with a fast-growing international SaaS startup with flat hierarchy
- You will have full ownership of the things you work on
- You will shape the operational strategy of our company
- You will have the opportunity to learn how the entire company operates
- Young and fun team
- there’s never a dull day

**_What you might not love_**
- We're a small team, priorities will keep on changing
- Really fast-paced environment with a LOT of work to be done
- You will have to learn new things all the time