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Senior Machine Learning Engineer at Motife Sp. z o.o.

Stanowisko Senior Machine Learning Engineer
Opublikowano 11 Jun 2026
Wygasło 11 Jul 2026
Firma Motife Sp. z o.o.
Lokalizacja Mazowieckie | PL
Rodzaj umowy Full Time

Opis stanowiska:

Najnowsze informacje o pracy w Motife Sp. z o.o. na stanowisko Senior Machine Learning Engineer. If the Senior Machine Learning Engineer wolny etat w Mazowieckie odpowiada Twoim kwalifikacjom, prześlij swoje aktualne CV bezpośrednio przez portal Jobkos.

Pamiętaj, że proces rekrutacji wymaga spełnienia określonych wymogów firmy. Mamy nadzieję, że oferta pracy w Motife Sp. z o.o. na stanowisko Senior Machine Learning Engineer poniżej odpowiada Twoim kwalifikacjom.

Senior Machine Learning EngineerMiejsce pracy: WarszawaTechnologies we useExpected
  • Python
  • Spark
  • Airflow
  • Kubernetes
  • REST
  • gRPC
  • FastAPI
Optional
  • Java
  • Kotlin
  • Go
  • C
  • or C++
  • AWS
Operating system
  • macOS
About the project

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 ecosystem. In 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 Firma's 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

Your 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.
Our 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.
This is how we organize our workThis is how we work
  • in house
  • you have influence on the technological solutions applied
  • you have influence on the product
  • agile
Team members
  • backend developer
  • frontend developer
  • fullstack developer
  • technical leader
  • automated test programmer
This is how we work on a project
  • Continuous Deployment
  • Continuous Integration
  • documentation
  • issue tracking tools
  • testing environments
What we offer
  • 100% paid medical care
  • Multisport
  • Creative tax (KUP)
  • Start office allowance
  • MacBook Pro
Benefits
  • sharing the costs of sports activities
  • private medical care
  • remote work opportunities
  • corporate gym
Recruitment stages
  • A call with MOTIFE Recruiter
  • Hiring Manager screening
  • Coding interview
  • Panel interviews with the team
Motife Sp. z o.o.

MOTIFE is a trusted partner for tech companies choosing Polska to build and grow their engineering and software development capabilities.

We help software companies, startups, fintechs, technology companies, and industry disruptors with their IT recruitment and, wherever necessary, advisory in setting up a presence in Polska and daily operations.

Our end-to-end support helps us build long-term relationships with new IT players, which means we can offer some of the most interesting career opportunities for skilled software and IT professionals like you.

Szczegóły oferty:

  • Firma: Motife Sp. z o.o.
  • Stanowisko: Senior Machine Learning Engineer
  • Miejsce pracy: Mazowieckie
  • Kraj: PL

Jak złożyć aplikację:

Po zapoznaniu się z kryteriami i wymaganiami opisanymi w informacjach o pracy Senior Machine Learning Engineer at the office Mazowieckie powyżej, niezwłocznie przygotuj dokumenty aplikacyjne, takie jak list motywacyjny, CV, kopię dyplomu oraz inne załączniki. Wyślij aplikację, klikając 'Następna strona' poniżej.

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