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Python Jobs at Lyft
56 open positions · Updated 1 week ago
56 Python roles across 1 company, most in Backend; 4% fully remote; typical advertised salary $98.1k
Who is hiring (1 companies)
Work arrangement: 2 fully remote · 49 hybrid · 5 not stated
Advertised salaries: p25 $77.9k · median $98.1k · p75 $136.2k (from 51 disclosed annual salaries, USD)
Counts are open roles Joblaze currently tracks on company career pages for this exact skill/location; salaries are advertised minimums, annual, converted to USD.
Showing 20 of 56 positions
Search with filters →Lead efforts in causal inference and marketing mix models to optimize marketing investments at Lyft.
Join Lyft as a Senior Software Engineer on the Mapping team to enhance routing and travel time estimations through data engineering.
Lead technical initiatives in data science to enhance Lyft's enterprise offerings and drive growth.
Join Lyft as a Senior Fraud & Risk Analyst to develop strategies that prevent and mitigate fraud in a fast-paced environment.
Join Lyft as a Machine Learning Engineer to develop AI agents that enhance safety and customer care for riders and drivers.
Join Lyft as an IT Systems Engineer to lead the integration of acquired companies into Lyft's IT environment with a focus on automation and efficiency.
Join Lyft's ETA team as a Machine Learning Engineer to enhance ride experience through accurate ETA predictions.
Lead technical initiatives in data science to enhance Lyft's enterprise offerings and drive growth through algorithm development.
Join Lyft as a Senior Software Engineer to enhance the pickup/dropoff experience for millions of riders and drivers.
Lead efforts in causal inference and marketing mix models to optimize marketing investments at Lyft.
Join Lyft as a Senior Software Engineer to build foundational infrastructure for AI integrations in a collaborative team environment.
Join Lyft as a Finance Transformation Specialist to optimize finance processes and drive efficiency through automation and collaboration.
Lead efforts in causal inference and marketing mix models to optimize marketing investments at Lyft.
Join Lyft as a Data Scientist specializing in Algorithms to enhance driver incentives and marketplace efficiency.
Join Lyft as a Business Systems Engineer to enhance financial planning and analysis through data integration and reporting.
Join Lyft as a Data Scientist to leverage causal inference for enhancing safety and customer care experiences.