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Staff Software Engineer, Machine Learning
4 miesięcy temu
technologies-expected :
AWS
MySQL
Apache Spark
Kubernetes
Docker
Apache Airflow
Python
scikit-learn
Pandas
Numpy
XGBoost
TensorFlow
mllib
about-project :
The Consumer Platform ML team's mission is to deliver state of the art ML algorithms that will help build robust and scalable customer products.
We use a data-driven approach to solve the problems and deliver ML-powered smart user experiences on the consumer apps and website.
This team works in close partnership with our product managers, application and website teams to deeply understand the problems and deliver the most impactful solutions.
We are constantly faced with challenges at industrial scale such as Personalization, Information Retrieval, Relevance Ranking and are pushing the boundary of how Affirm thinks of its data.
We are looking for highly motivated engineers to help build this team in Poland. Come join usresponsibilities :
Design, develop, and deploy a ML-powered solution for building effective personalized user experiences, search optimization and other challenging problems in customer space
Build tools for our team to enable (1) personalization of content (2) relevance ranking, and (3) better and more effective information retrieval
Partner with Analyst, Data Science, and Product engineering teams to build production machine learning models; your models will decide what, when and to who will be shown in our app and website
Develop our understanding of new data sources and how they may improve our existing processes
Work closely with Affirm's mobile application, website application, marketing, and analytics teams to understand our performance modeling strategies and the business drivers underlying those strategies
Serve as a trusted advisor on the application and implementation of machine learning across Affirm
requirements-expected :
B.S. with 8+ years of industry experience, M.S. with 7+ years, PhD with 6+ years, or equivalent experience
Demonstrated experience designing real time systems and writing production-quality software
Experience with the
AWS technical stack and data infrastructure such as MySQL, Spark, Kubernetes, Docker, and Airflow
Proficiency in machine learning with experience in areas such as gradient boosting, deep learning, recommendation systems, computational advertising, reinforcement learning, financial forecasting, time series analysis, anomaly detection, monte-carlo simulations, and Markov decision processes
Strong programming skills in Python. Experience using frameworks for machine learning and data science like scikit-learn, pandas, numpy, XGBoost, TensorFlow, mllib
Excellent written and oral communication skills including the capability to drive requirements with product and engineering teams and present technical concepts and results in an audience-appropriate way
Ability to work efficiently both solo and as part of a team; willingness to learn new things and mentor others
Passion to change consumer banking for the better, while developing a deeper understanding of applied machine learning
offered :
Targeted Gross Monthly Salary: 25, ,233 PLN
Type of employment:
Contract of Employment
Flexible Spending Wallets for tech, food and lifestyle
Generous time off policies
Away Days - wellness days to take off work and recharge
Learning & Development programs
Parental leave
Robust health benefits
Employee Resource & Community Groups
This role is eligible for creative tax benefits, subject to applicable law and company policy
This role might be eligible for a competitive sign-on bonus of up to 10% of your base salary.
This role has a potential sign-on bonus of up to 10% of your base salary. Eligibility is determined at the offer stage
