Machine Learning Engineer (m/f/d)
◉ Berlin, Remote
Company: 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!
Requirements
● 3+ years of experience handling machine learning solutions and data-pipelines
● Excellent coding skills with the attitude of clean code, reproducibility, and testing
● Experience with ml-ops tools, data-engineering, and dev-ops
● 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
● 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
Responsibilities
● Working on large scale machine learning and data challenges that impact millions of people
around the globe
● Building a data infrastructure, services and pipelines that make data more accessible to the
teams
● Developing and maintaining the machine learning pipelines using Docker, Airflow, Spark, and
more ml-ops solutions
● Maintaining, scaling, and improving our research cluster to support the data-science team
● Implementing and optimizing 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
● Participate in code and design reviews for our machine learning applications to maintain our high
coding standards
● 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.
What does the company offer?
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.
Company: 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!
Requirements
● 3+ years of experience handling machine learning solutions and data-pipelines
● Excellent coding skills with the attitude of clean code, reproducibility, and testing
● Experience with ml-ops tools, data-engineering, and dev-ops
● 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
● 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
Responsibilities
● Working on large scale machine learning and data challenges that impact millions of people
around the globe
● Building a data infrastructure, services and pipelines that make data more accessible to the
teams
● Developing and maintaining the machine learning pipelines using Docker, Airflow, Spark, and
more ml-ops solutions
● Maintaining, scaling, and improving our research cluster to support the data-science team
● Implementing and optimizing 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
● Participate in code and design reviews for our machine learning applications to maintain our high
coding standards
● 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.
What does the company offer?
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.
- 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
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