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.

At OpenX, we have built a team that is uniquely experienced in designing and operating high-scale ad marketplaces, and we are constantly on the lookout for thoughtful, creative executors who are as fascinated as we are about finding new ways to apply a blend of market design, technical innovation, operational excellence, and empathetic partner service to the frontiers of digital advertising.

OpenX is seeking a talented Machine Learning Engineer with strong software engineering skills to contribute to impactful R&D projects, with a specific focus on building and maintaining machine learning pipelines. This role centers on engineering solutions, collaborating with the OpenX Data Science team to optimize and advance the ML platform, by providing robust infrastructure and support.

Who We're Looking For:

Thinks long-term and seeks sustainable, robust solutions rather than temporary fixes.

Adheres to industry best practices to ensure the delivery of high-quality results.

Can take an existing machine learning model and productionize it by creating a scalable pipeline for training and optimizing the model for serving.

Will assist in migrating model training pipelines across different technologies or transitioning model implementations to other frameworks.

Provides strategic guidance for optimizing models and enhancing model training pipelines.

Designs, develops, and delivers innovative features and functionalities.

Can effectively communicate with data scientists who are developing and experimenting with models, software engineers integrating those models into broader systems, and DevOps engineers managing serving and infrastructure, facilitating collaboration to build and deploy comprehensive end-to-end solutions.

We are operating at a scale:

100% Cloud-based (GCP) platform

Over 400 billion Ad requests every day

Over 120 000 CPU daily

Over 140 TB RAM daily

Over 50 PB of data per week

Over 1200 production deployments a month

What we offer:

Employment contract (25 100 - 29 500 PLN gross/monthly) OR B2B (191 - 225 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:

Identify and eliminate unnecessary complexity to streamline processes and improve efficiency.
Analyze and enhance the efficiency, scalability, and stability of machine learning model training pipelines.
Develop, maintain, and monitor the infrastructure responsible for training ML models by automating pipeline-related tasks, adding performance metrics, helping troubleshoot the issues, and creating alerts.
Continuously enhance the ML platform by integrating feature stores, model repositories, data versioning, and skew detection capabilities.
Optimize models by profiling, analyzing flame graphs to identify performance bottlenecks, and applying faster computational graph operations or full model transformations such as pruning, quantization, or hardware acceleration.
Collaborate with team members to deploy, manage, and integrate machine learning models.

Required Qualifications:

7+ years of experience in a similar role and a Bachelor’s degree in Computer Science or a related field.
Extensive expertise in Python programming and software engineering best practices.
Demonstrated proficiency with machine learning frameworks such as TensorFlow, Keras, or PyTorch.
Familiarity with basic SQL for querying and data manipulation.
Hands-on knowledge of ML pipelines, particularly Kubeflow Pipelines.
Basic understanding of machine learning techniques sufficient to comprehend and utilize models developed by data scientists. Advanced modeling skills are not required.
Experience with cloud platforms and their machine learning capabilities, particularly Google Cloud Platform's Vertex AI, is highly desirable.
Excellent communication skills in both Polish and English.
A willingness to learn new tools and create proof-of-concept implementations.
Strong communication skills and the ability to collaborate effectively with team members from diverse backgrounds.

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)

OpenX VALUES

Our five company values form a solid bedrock serving to define us as a group and guide the company. Our values remind us that how we do things often matters as much as what we do.

WE ARE ONE

We are one team. There are no exceptions. We are a group of strong and diverse individuals unified by a shared mission. We embrace challenges and win together as a team. We respect and care about our colleagues and cultivate an inclusive culture

WE ARE CUSTOMER CENTRIC

We innovate on behalf of our customers. We understand, respect, and listen carefully to our customers. We build great products to solve our customers’ problems. We manage our customers’ expectations clearly and honestly. We are a trusted partner to all of our customers - we act with integrity at all times. We care.

OPENX IS OURS

We are all owners of OpenX

We all have a voice to improve OpenX

We stake our personal and professional reputations on the excellence of our work

We are not interested in just "doing our jobs"; we take ownership to drive results

WE ARE AN OPEN BOOK

We understand and respect what each of us does. We are eager to teach and share what we know with others, both internally and externally. We are eager to learn from others and we ask questions internally and externally.

WE EVOLVE FAST

We take responsible risks and own and learn from our mistakes. We recognize and repeat success. We actively seek out and provide constructive feedback. We adapt quickly and embrace change. We tackle growth and learning with real urgency. We are endlessly curious.

OpenX TRAITS

Our three traits capture what makes a great team member at OpenX.

HUMBLE

Ideal team players are humble and demonstrate integrity. They put the team's success above their own, share credit generously, and value collective achievements. They are self-assured, open to coaching, and committed to continuous learning.

DRIVEN

Ideal team players are results-driven and motivated. They are curious, always seeking more to do, learn, and take on. As proactive problem-solvers, they take initiative without needing external motivation. They continuously think about the next steps and opportunities for improvement.

SMART

Ideal team players are smart and possess the intellectual acumen to understand the complexities of our organization and industry. They are interpersonally intelligent, good communicators, and exemplify sound judgment in their interactions across the company to foster a collaborative environment.

OpenX is committed to equal employment opportunities.

It is a fundamental principle at OpenX not to discriminate against employees or applicants for employment on any legally-recognized basis including, but not limited to: age, race, creed, color, religion, national origin, sexual orientation, sex, disability, predisposing genetic characteristics, genetic information, military or veteran status, marital status, gender identity/transgender status, pregnancy, childbirth or related medical condition, and other protected characteristic as established by law.

OpenX Applicant Privacy Policy

Applicants can review our Applicant Privacy Policy at any time by visiting the following link: https://www.openx.com/privacy-center/applicant-privacy-policy/.

Effective Date: November 21, 2024

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