Design and develop ML products to be integrated with our CDP.
Own specific technical areas, drive and execute ML product projects, track progress and mitigate risks by collaborating closely with product managers, UX designers, architects, engineers, and stakeholders from other cross-functional teams.
Play a key role in defining system architecture for the ML products and implementing specific components to enhance the user experience.
Design and implement performant, scalable ELT (Extract, Load, Transform) data pipelines, considering an ML model's lifecycle (training and inference).
Take responsibility for technical problem solving and meeting ML product objectives creatively in ambiguous scenarios.
Participate in the on-call rotation for production support.
Drive best practices including ML research methodologies, coding standards, code reviews, source control management, development processes, build processes, testing and release, and operational excellence.

Advanced degree in computer science, data science, machine learning, or related field, or equivalent work experience.
6+ years of professional experience in software engineering designing and building ML-driven products, with at least 3 years focused on production ML systems.
Fundamental knowledge of Data Engineering and extensive experience in developing and deploying ML models, as well as building and maintaining ML pipelines and products.
Experience in applying scientific method : hypothesis formulation and testing, exploratory data analysis, cross-validation, reproducible research, and structured reporting/documentation, result explanation and presentation.
Experience designing, deploying, and operating scalable ML systems in production. This includes responsibility for model selection, performance benchmarking, and lifecycle management to solve real-world business problems.
Proficiency in Python and general ML ecosystem tooling in data processing and modelling (such as NumPy, Pandas, Scikit-learn, PyTorch, etc.).
Experience in designing and building products using public cloud services such as AWS.
Excellent verbal and written communication skills in English, and ability to convey research findings and implications to both technical and non-technical audiences.
Ability to work effectively in cross-functional and distributed teams across different time zones.

Senior Software Engineer – Machine Learning

Key skills