Machine Learning Engineer

Your role:

In this role, you will gain a comprehensive understanding of the company's products and services, identifying ideal customer personas based on various factors such as demographics, psychographics, and purchasing power. You will collaborate with international teams, tackling challenging projects and working with stakeholders from around the globe. You will delve into domains such as bidding, pacing, performance-based advertising, recommendations, and churn prediction/prevention. Access to proprietary data will allow you to address product challenges and develop impactful solutions.

Responsibilities:

Develop, test, deploy, and maintain scalable low-latency machine learning products and pipelines, considering factors such as data nature, problem complexity, and computational resources

Validate model performance on unseen data, ensuring generalization and addressing potential issues like bias or fairness concerns

Design and develop the next-generation machine learning platform to support numerous model training pipelines and vast daily batch predictions

Research and experiment with the latest ML platform technologies, staying current with industry trends and pushing the boundaries of ML capabilities

Streamline model deployment and ensure engineering quality through unit testing, integration testing, and stress testing

Automate the ML pipeline using CI/CD principles to promote consistency, reproducibility, and agility

Collaborate with Data Scientists to introduce new ML platform features, streamline the model development process, and reduce lead time for model production

Work closely with internal ML teams to improve codebase and product health

Technical leadership opportunities available based on skills and experience

Offer:

Friendly atmosphere focused on teamwork

Comprehensive training and support in developing algorithmic skills

Opportunity to work on multiple projects with the latest technologies

Monthly integration budget

Opportunities to attend local and international conferences

Flexible working hours

Private medical care (including family members)

Multisport card

Life insurance

Lunch card

Hybrid work model: 3 days from the office per week (Warsaw)

Attractive relocation package

Requirements:

Tech stack: Python, TensorFlow, PyTorch, AWS, Spark, Snowflake, Snowpark, Github Actions, Airflow, Grafana

Must have:

Degree in Computer Science or related fields

Minimum 5 years of industry experience

Familiarity with CI/CD (e.g., Github Actions, Airflow), ETL or big data tools (e.g., MapReduce, Spark, Flink, Kafka, Docker, Kubernetes)

Familiarity with mainstream ML libraries (e.g., TensorFlow, PyTorch, Spark ML) and/or cloud solutions (e.g., AWS, Sagemaker)

Programming skills in Python, Go, or other OOP languages

Experience in SQL and databases, including SQL query optimization

Experience with unit test frameworks

Familiarity with data structures, algorithms, and software engineering principles