Benefits:

• Additional vacation days

• Cafeteria

• Career Training

• Company car

• Company cellphone reimbursement and laptop, home office supplies, and more configurable to your liking (includes a car, iPhone, MacBook, home office supplies, and more) A BBQ at one of the founder’s houses as a signing bonus Benefits: * Bicycle plan * Cell phone reimbursement * Christmas basket * Company car * Company classes * Company computer * Company events * Company phone * Eco vouchers * Food allowance * Fuel card * Hospitalization insurance * Internet reimbursement * Life insurance * Profit sharing * Stock options * Travel reimbursement * Wellness program * Work from home

Education Requirements:

• A bachelor or master degree in computer science, specifically in a ML related field

Experience Requirements:

• Hands-on experience setting up and building Machine learning systems, preferably on Google's platforms using Python and tools like Tensorflow

Other Requirements:

• A general interest in Artificial Intelligence and Machine Learning

• A willingness to switch roles between Master ML Engineer and coach to the rest of the team

• A self-starter attitude - proactive, results-oriented, and unafraid to ask questions or seek help when needed, capable of offerting the same to others

• The ability to bring flair and design sensibility into your work - making sure we don't bankrupt ourselves running models would be nice

• A sense of humor - this is _really_ important

• A decent knowledge of Tensorflow, Python, general best code practices, and integrating AI systems with traditional code bases through service oriented communication patterns

• We'd prefer hiring on an employee basis, no freelancers at this time

• Great communication skills

• A "never give up" mentality

• A very good understanding of English, and able to conversationally speak Dutch

• A passion for innovation, technology, and building something that will shape the future

• Capable of coaching a small team of juniors (and perhaps interns)

• Capable of explaining complex systems to non-techies

Responsibilities:

• Experimenting with ML-driven features

• Building something that the world has never seen before

• Working closely with the CTO and an ambitious engineering team on all of Trickle's AI platforms, including our own Multi-Agent Artificial Intelligence system

• Guiding the newbies and shaping the product roadmap together with the engineering team, CTO, Product Manager and the CEO