Kayzen is the future of mobile marketing — building software that allows mobile app developers to connect with their users.
We are a B2B SaaS platform that allows companies to run mobile programmatic marketing in-house.
Programmatic marketing, put simply, is the process of automating the buying and selling of digital ads in real-time. Programmatic in-housing takes this one step further by allowing advertisers to fully own the technology stack and skills required in this process.
Programmatic in-housing is still in its early days of adoption in the mobile advertising market. This is where we have an impact!
You will work with a carefully selected, diverse and globally distributed team from customer success, engineering, data science, design, product and more. We are highly motivated and aligned in our quest to disrupt the multi-billion dollar ad-tech industry.
We would like you to be part of our journey, as our Machine Learning Engineer (m/f/d).
Working on large scale machine learning challenges that impact millions of people around the globe
Researching and implementing cutting-edge algorithms that work with massive data sets in real-time
Working on a large variety of different tasks, ranging from prediction models, cluster algorithms, optimization problems, to outlier detection
Implementing fast, scalable solutions with optimal performance day in and out
Responsible for developing and maintaining the machine learning pipelines using docker, airflow, spark, and more ml-ops solutions
This position will play a crucial role in the full product development lifecycle. Machine-learning is the core of our business, and the role will be responsible for supporting our research and moving research to production
3+ years of experience handling machine learning solutions
Excellent coding skills with the attitude of clean code, reproducibility, and testing
We use Python, TensorFlow, and SQL in our daily work and experience with these technologies is important
Our data pipelines and job management consists of Spark, Hadoop, Airflow, and Docker and you need to be comfortable with managing and improving these pipelines
Experience with ml-ops tools, data-engineering, and dev-ops is a great advantage
Familiarity with Linux
Passionate about creating great products and experiences for our customers
A willingness to dive deep, experiment rapidly and get things done
Self-starter attitude with a goal-driven mindset
Ad-tech, marketing-tech experience is a big plus
What do we offer?
Working in the exciting and fast-growing mobile ad-tech space
Developing machine learning models and immediately seeing the impact of your work
Valuable insights into mobile marketing and entrepreneurship
Working directly with the management and co-founders
Excellent learning culture, and we really mean it
Being part of a fun, international team of an outstanding tale