Senior Machine Learning Engineer
⚲ Warszawa
31 000 - 35 000 zł gross
Wymagania
- Python
- Spark
- Airflow
- AWS
- Kubernetes
- Java (nice to have)
- Kotlin (nice to have)
- Go (nice to have)
- C (nice to have)
- C++ (nice to have)
Opis stanowiska
Wymagania:
- 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.
Zakres obowiązków:
- 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.
Oferujemy:
- 100% paid medical care
- Multisport
- Creative tax (KUP)
- Home office allowance
- MacBook Pro
- 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.
Zakres obowiązków:
- 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.
Oferujemy:
- 100% paid medical care
- Multisport
- Creative tax (KUP)
- Home office allowance
- MacBook Pro
🔍 Dekoder Ogłoszenia
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ideally in recommender systems, NLP, computer vision, or another applied ML domain
Doświadczenie w konkretnych obszarach ML jest mile widziane, ale niekoniecznie wymagane, co może oznaczać, że firma szuka kogoś z ogólnym doświadczeniem ML, kto szybko się nauczy.
🔴
Solid software engineering skills, including clean code, data structures, algorithms, and production readiness
Oczekuje się nie tylko umiejętności budowania modeli ML, ale także pisania kodu na poziomie produkcyjnym, co może oznaczać większy nacisk na inżynierię oprogramowania niż na samą teorię ML.
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experience with Java, Kotlin, Go, C, or C++ is a plus
Znajomość innych języków niż Python jest dodatkowym atutem, ale nie jest kluczowa, co sugeruje, że głównym językiem pracy będzie Python, ale mogą pojawić się zadania wymagające innych technologii.
🟡
Familiarity with cloud-based ML environments, preferably AWS
Znajomość AWS jest preferowana, ale nie jest to ścisły wymóg, co może oznaczać, że firma jest otwarta na inne chmury lub że nauka AWS będzie częścią onboardingu.
🔴
Strong communication skills and the ability to work cross-functionally with product, analytics, platform, data, and engineering teams
Oczekuje się aktywnego udziału w komunikacji i współpracy z różnymi działami, co może oznaczać, że rola będzie wymagała więcej interakcji i negocjacji niż typowo techniczne zadania.