Senior Software Engineer, AI Science
AlembicAbout the Role - Senior Software Engineer, AI Science
We are seeking a talented Senior Software Engineer to join our AI Science team -- our research arm. This role focuses on conducting groundbreaking research that advances the state-of-the-art in AI and machine learning. You will work on ambitious projects, collaborate with a dynamic team of researchers and engineers, and derive insights that push an industry forward.
Key Responsibilities:
Conduct Cutting-Edge Research: Engage in groundbreaking AI and machine learning research that pushes the boundaries of the field.
Innovate Algorithms: Develop and experiment with new algorithms, models, and approaches to solve complex problems.
Collaborate Across Teams: Work closely with cross-functional teams, including engineers, data scientists, and product managers to bring research ideas to life.
Stay Updated: Keep abreast of the latest developments in AI and ML and apply this knowledge to your work.
A strong foundation in these technologies will set you up for success:
Primary skills:
Python programming: Experience delivering production-ready python programs.
Relational databases: Experience in querying, designing and optimizing relational databases such as Postgres.
Software development lifecycle management: Experience owning projects end-to-end from scoping, designing, coding, release and continuous monitoring in production environment.
Capacity planning and management: Experience with profiling methods and scalability assessment.
Data processing: Experience with data preprocessing techniques such as cleaning, transformation, normalization, and feature extraction.
Secondary skills:
ELT pipeline: Experience with ELT pipeline and orchestration systems such as Airflow.
Database systems: Experience working with one of more of non-SQL databases such as Druid, Elasticsearch and neo4j.
AWS: Experience deploying and managing applications on AWS.
Containerization and Virtualization: Proficiency in Docker and experience with container management and deployment.
Statistics and mathematics: Understanding of statistical concepts and methods such as statistical testing, regression analysis, time series analysis, and probability theory.