Description:

OpenX is seeking a talented Senior Machine Learning Engineer IV to contribute to impactful R&D projects, focusing on building and maintaining machine learning pipelines.
The role involves engineering solutions and collaborating with the OpenX Data Science team to optimize and advance the ML platform by providing robust infrastructure and support.
The candidate will identify and eliminate unnecessary complexity to streamline processes and improve efficiency.
Responsibilities include analyzing and enhancing the efficiency, scalability, and stability of machine learning model training pipelines.
The engineer will develop, maintain, and monitor the infrastructure responsible for training ML models by automating pipeline-related tasks and creating alerts.
Continuous enhancement of the ML platform by integrating feature stores, model repositories, data versioning, and skew detection capabilities is expected.
The role requires optimizing models by profiling and analyzing performance bottlenecks and applying faster computational graph operations.
Collaboration with team members to deploy, manage, and integrate machine learning models is essential.
The position operates on a 100% Cloud-based (GCP) platform, handling over 400 billion ad requests daily and managing significant data volumes.

Requirements:

A minimum of 7 years of experience in a similar role and a Bachelor’s degree in Computer Science or a related field is required.
Extensive expertise in Python programming and software engineering best practices is necessary.
Proficiency with machine learning frameworks such as TensorFlow, Keras, or PyTorch is essential.
Familiarity with basic SQL for querying and data manipulation is required.
Hands-on knowledge of ML pipelines, particularly Kubeflow Pipelines, is necessary.
A basic understanding of machine learning techniques to comprehend and utilize models developed by data scientists is required.
Experience with cloud platforms, especially Google Cloud Platform's Vertex AI, is highly desirable.
Excellent communication skills in both Polish and English are mandatory.
A willingness to learn new tools and create proof-of-concept implementations is expected.
Strong communication skills and the ability to collaborate effectively with team members from diverse backgrounds are essential.

The position offers an employment contract with a salary range of 25,100 - 29,500 PLN gross/monthly or a B2B option at 191 - 225 PLN net/hourly.
Employees will work with the newest technologies, including Cloud Computing (GCP).
The role presents unique challenges that are difficult to find elsewhere, allowing for impactful problem-solving at scale.
Flexible working hours and a remote work option are provided.
Additional benefits include an annual performance bonus, a tax-deductible system due to copyright protection, and private health care for employees and their families.
Employees receive private life and travel insurance, access to a MultiKafeteria program, and training opportunities through the LinkedIn learning platform and tech workshops.
Other benefits include a holiday allowance, a pension scheme, additional paid days off, free parking, and a monthly work-from-home allowance.