What we offer:
- Employment contract (24 437 - 27 300 PLN gross/monthly) OR B2B (190 - 213 PLN net/hourly)
- Working with the newest technologies such as Cloud Computing (GCP)
- Challenges at work that are difficult to find anywhere else!
- Solving important problems in a scale
- Joining a company that is growing and scaling
- Flexible working hours & remote work option
Key Responsibilities
- Extracting data from terabyte-scale datasets and transforming it to compact representations which are amenable to use by a wide variety of models
- Developing and managing ML pipelines to predict and model key components and phenomena in our ad exchange, leveraging these to answer questions and improve performance
- Construction of novel model types and tuning existing models and their products to enhance functionality and drive new developmental features
- Guiding and developing DS / ML projects from inception to production-level deployment while reporting to stakeholders on progress and challenges
- Coordinating with other members of the team to deploy, manage, and synchronize the function of all ML models in production and development
Required Qualifications
- MS with 7+ years of relevant experience OR Ph.D. in Data Science, Machine Learning, Computer Science, Physics, Mathematics, Operations Research or related technical field with 4+ years of relevant experience
- Extensive experience with a variety of modeling methodologies, including deep learning and other ML techniques beyond common regression, particularly in the context of tensorflow and its related applications / environment
- Strong track record of nurturing DS / ML projects to maturity with maximal business impact as well as supporting and improving those projects beyond deployment
- Mastery of probability and statistics, especially techniques that scale to massive datasets
- Strong communication and presentation skills — proficient in analysis and summarization of the key points of a data set or experiment result
Desired Characteristics
- Experience working with a cloud platform like GCP / AWS / Azure, with emphasis on GCP and the Tensorflow / Vertex platform
- Familiarity with other programming languages such as Java and Golang
- Experience providing mentorship and guidance to more junior employees
- Experience working in digital media, marketing technology or advertising technology
Our benefits (on employment contract):
- Annual performance bonus
- Tax-deductible system due to copyright protection: 75%
- Private health care for you and your family (covered by OpenX)
- Private life and travel insurance (Covid insurance included)
- MultiKafeteria program
- Training: access to the LinkedIn learning platform and Tech workshops
- Holiday Allowance
- Pension scheme (PPK from PZU)
- Additional paid day off
- Free parking lot
- Access to peer to peer recognition platform
- Monthly work-from-home allowance and one-time payment when you join us to help you set up your home office
- We celebrate team members' important personal milestones (vouchers, gifts)
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What We Do
OpenX is focused on unleashing the full economic potential of digital media companies. We do this by making digital advertising markets and technologies that are designed to deliver optimal value to publishers and advertisers on every ad served across all screens. We’re an independent omni-channel supply-side platform (SSP) and a global leader in supply-side targeting, transparency, and sustainability. Through our 100% cloud-based tech stack, we power advertising across CTV, app, mobile web, and desktop, enabling publishers to deliver marketers with improved performance and dynamic future-proofed solutions. With a 17-year track record of programmatic innovation, we're a direct and trusted partner of the world’s largest publishers, working with more than 130,000 premium publisher domains and over 100,000 advertisers.
Why Work With Us
At OpenX, we value curiosity, innovation, and diversity. We are passionate about pushing the boundaries of ad tech and finding new ways to deliver value to our partners and we know our best chance of delivering is by creating diverse and inclusive teams where employees can do their best work being their authentic selves.
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