Position: AI Engineer
Company: Panda Training
Category: Data Science
Experience required: 2y
English level: fluent

**About Panda Training** 

Panda is a Helsinki-based early-stage coaching automation startup on a mission to help people become better versions of themselves week by week. Our vision is a world where leaders see a 10x return from investing in their people. Panda makes the usually expensive service of business coaching accessible to all - not just top management.

We are building a new way for businesses to take care of their employees’ development through automated coaching - informed by insights from psychology and adult education. All without leaving their normal workspace in Teams/Slack or using additional apps.

We have recently raised funding from Gorilla Capital and a group of angels who share our vision about a more accessible form of coaching. 

**About the Role**

We are still early, so don’t be too worried about all of the responsibilities or technologies. Roles can be crafted to fit your interests and personal abilities. We'd prefer you to have at least two years of relevant experience from applied machine learning, but we are ultimately looking at potential - not just skills.

**Key Responsibilities** As an AI Engineer at Panda you will:

- Create innovative, sophisticated analytic models to address critical issues but also meet key business criteria (cost/risk/business impact) and key technical criteria (reliability/validity/predictability).
- Identify and advocate for technical options related to machine learning, data mining, and other statistical approaches.
- Document feasibility requirements, code comments and other technical documentation required to transfer knowledge to other technical staff and management.
- Collaborate on developing effective Dashboards to surface insights to senior leadership.
- Develop predictive and optimization models for key applications.
- Maintain an understanding of the latest trends in data science and machine learning.

**What’s the stack?**

- Backend: Node.js and Express
- Frontend: Jquery and React
- NLP Engine: Node.js, Python, BERT language transformers, Hidden Markov Model
- Database: MongoDB
- Infrastructure and Deployment: AWS (EC2, CLI, Beanstalk), Azure NLP

**Relevant technologies and keywords**
Automata theory, Conversational interfaces, Academic and/or industry experience with standard AI and ML techniques, NLU and scientific thinking, word2vec, hidden markov model, genetic algorithms, data augmentation, feature optimization, exploratory data analysis, Keras, Pandas, Scikit, turing machine, text vectorization, one-hot encoding, bias detection, AutoML, Explainable AI methodology.

**What about you?**
We are looking at how you work - more than what you know.

- You thrive in uncertainty
With us being very early on, things are bound to change quickly. We hope you are able to act proactively and independently in a role where not everything is fully defined. Maybe you can be part of defining it yourself. 

**- You are a natural learner**
Learning is at the very core of our product - so the drive to learn proactively and on the fly is also something that we value in each and every person we work with.

**- You care about our mission**
We’d love it if you cared about improving people’s lives and helping them become better versions of themselves. :-)

**- You are honest and caring**
None of us is infallible and we are bound to go in the wrong direction from time to time. Calling out faulty assumptions, letting us know when we’re going the wrong direction, and owning up to mistakes is important to us. But even more important is helping people learn from those mistakes.

**What about us?**
We are unable to let you train Pandas, but we do offer:

**- A caring and equitable workplace**
Strict hierarchies aren’t really our thing so we want to make sure everyone has a voice and feels at home. Our small team already has four different nationalities so we are committed to welcoming everyone regardless of their background.

**- We are flexible and fully remote**
Where you come from doesn’t matter. We are building a fully remote organization to fit modern needs. Living that nomadic lifestyle that doesn’t fit with the usual 9 to 5? That’s all good with us. Work is supposed to serve your life, not the other way around.

**- Something to pay the bills + equity
**Apart from receiving a solid salary, you will also be part of our employee stock option plan. We have not set it up yet, but we will soon!

**- Grow with us and have an impact early**
Panda is still early on so you’ll have a chance to have a real impact on the way we help our users as well as how our organization is built. Learning is also at the very core of what we do. This means there’s also an opportunity to develop and get mentorship while we grow.

**- Here's what one team member said about working with us**
"Constant new challenges and new projects give me the opportunity to always update my skills set. Besides career growth, it is also very important to me that the Supervisor I'm working directly with every day has helped me a lot with my personal growth as well. The 1:1 catching up sessions really make me feel like I have someone wise to guide me and I don't have to be afraid of asking for help."


**The Details**
- Hours: full-time, but we are of course flexible.
- Starting: ASAP
- Location: fully remote, even though many of us reside in Helsinki.
- Clients: Our clients include companies like Universal, KONE, Mindvalley, and Skanska
- Our tech team: You will be working with our technical team and our CTO, who has 11 years of experience in the roles of Solutions Architect, IT Management, Software Dev, Product Owner, Data Scientist, and DevOps. He left Amazon European HQ to join Panda Training.

**Process:**
- Introductory chat (20-30min) - exploring both your and our motivations and backgrounds with our COO.
- Technical chat & coding interview (30 - 60min) - going into more detail with our CTO along with a live coding interview which includes a few exercises.
- Final chat (30 - 45min) - final questions and practicalities before the final decision.