Portugal•TELECOMMUTE
Remote
Senior
Full Time
26 days ago
💰$80,000 - $120,000
remotemachine_learningpythonbig_datasparkranking_systemssearch_engineml_engineer
Requirements
- •At least 4 years of experience with Python for machine learning and backend development
- •At least 4 years of experience developing, deploying, and maintaining machine learning models focused on ranking systems
- •Experience in large-scale ML model training, evaluation, and optimization with real-time inference and serving
- •Experience with big data frameworks such as Spark for processing large datasets
- •Proficiency in SQL, PySpark, Pandas, and other data manipulation and analysis tools
- •Experience with data pipeline orchestration tools like Airflow or Luigi
- •Experience working on ranking algorithms optimizing metrics like relevance, conversion rates, personalization, user engagement
What You'll Do
- •Design and develop ML-based ranking solutions to enhance search engine ranking systems
- •Improve ranking quality by analyzing performance and identifying gaps in search, browse, and autocomplete experiences
- •Innovate and optimize ranking algorithms to advance the ranking pipeline and meet business needs
- •Collaborate with cross-functional teams to develop and update ranking functionalities
Nice to Have
- •Experience collaborating in cross-functional teams
- •Experience leading projects to success
- •Excellent English communication skills
- •Enjoy helping others grow as developers
- •Quick learner and enthusiastic about new ideas and technologies
- •Data-driven decision making and experimentation
Benefits
- •Unlimited vacation time
- •Fully remote team
- •Work from home stipend
- •Apple laptops provided for new employees
- •Training and development budget refreshed yearly
- •Maternity & Paternity leave
- •Work with smart people for growth and impact
- •Base salary $80k–$120k USD depending on experience
- •Stock options offered in addition to base salary
- •Regular team offsites
About Constructor
Constructor is an AI-enabled product search and discovery platform that provides assistance to e-commerce brands.
San Francisco, CA, US
100 - 250
eCommerce