Senior Machine Learning Engineer

We are hiring on behalf of our client a global innovator in fitness and wellness technology. Their mission is to empower people to live fit strong long and happy lives by delivering integrated experiences to millions of members anytime anywhere.

We are looking for a Senior Machine Learning Engineer to join the Personalization team which owns the recommendation systems powering content discovery across the this role you will work on end-to-end ML systems: building and training models improving real-time recommendation services running experiments and deploying scalable solutions into production. You will help evolve the recommendation platform from multiple models toward a more unified real-time architecture while also contributing to companys IQ initiatives involving LLMs personalized plans and AI-powered member experiences.

Key takeaways:

Stack: Python Spark Airflow AWS S3 Kubernetes recommender systems Deep Learning Transformers LLMs MLOps REST/gRPC/FastAPI A/B testing

Salary: 31 000 PLN - 35 000 PLN gross on the Contract of Employment

Working model: Hybrid - 3 days/week from the office

Location: ul. Grzybowska 60 Warsaw

Recruitment process:

• A call with MOTIFE Recruiter
• Hiring Manager screening
• Coding interview
• Panel interviews with the team (coding architecture and cross-collaboration interviews Hiring Manager meeting)

Responsibilities:

• Build train evaluate and improve ML models powering personalized workout and content recommendations.
• Develop and maintain data and ML pipelines using Python Spark Airflow AWS and S3.
• Productionize deploy monitor and optimize ML models and recommendation services.
• Improve real-time model serving including latency scalability reliability and infrastructure costs.
• Support the evolution of recommendation systems toward unified rankers candidate generation and inference services.
• Run A/B tests and analyze experiment results with Product Analysts to measure product and member impact.
• Contribute to IQ initiatives including personalized plans insights LLM-based features and responsible AI practices.
• Collaborate with ML Engineers Data Engineers Software Engineers Platform Engineers Product Managers and Analysts to deliver scalable personalization features.

Requirements:

• 4 years of experience in machine learning ideally in recommender systems NLP computer vision or another applied ML domain.
• Degree in Computer Science Machine Learning Statistics Mathematics Operational Research or another quantitative field.
• Strong hands-on experience building training evaluating and improving ML models.
• Solid software engineering skills including clean code data structures algorithms and production readiness.
• Professional experience with Python; experience with Java Kotlin Go C or C is a plus.
• Experience with large-scale data pipelines distributed processing and orchestration tools such as Spark and Airflow.
• Familiarity with cloud-based ML environments preferably AWS and production serving technologies such as Kubernetes REST gRPC or FastAPI.
• Strong communication skills and the ability to work cross-functionally with product analytics platform data and engineering teams.

What we offer:

• 100% paid medical care
• Multisport
• Creative tax (KUP)
• Home office allowance
• MacBook Pro

Apply now

If this sounds like your next step wed love to hear from you! Please apply via our careers page and submit your CV in English.

Required Experience:

Senior IC