Direct from source · No middlemen
Python Jobs at Lyft
56 open positions · Updated 1 day 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 →Join Lyft as a senior backend engineer to enhance road safety through innovative telematics solutions.
Join Lyft as a Firmware Engineer to develop and deliver micromobility hardware solutions in a collaborative environment.
Join Lyft as a Machine Learning Engineer to design and deploy cutting-edge ML systems in a collaborative environment.
Join Lyft as a Manufacturing Test Engineer to ensure the quality and functionality of bikes and scooters in a dynamic urban transportation environment.
Join Lyft as a Machine Learning Engineer to design and deploy cutting-edge ML systems in a collaborative hybrid environment.
Join Lyft as a Test Engineer to ensure the quality and functionality of bikes and scooters in a dynamic manufacturing environment.
Join Lyft as a Software Engineer to enhance backend systems for ride state transitions in a collaborative environment.
Join Lyft as a Software Engineer to design and build the platform powering the ride experience in a collaborative hybrid environment.
Join Lyft as a Software Engineer to enhance mapping experiences for drivers and riders using in-house navigation systems.
Join Lyft as a Software Engineer to enhance our routing engine and build scalable cloud-based services for millions of users.
Join Lyft's Observability team to enhance platform reliability and support large-scale distributed systems.
Join Lyft's Privacy team as a Senior Software Engineer to design and build systems that enhance user privacy across the organization.
Join Lyft as a Staff Software Engineer to lead the design and scaling of the Global Support Platform in a fully remote role based in Ukraine.
Join Lyft as a Staff Applied Scientist to develop ML and optimization models that enhance pricing and ETA decisions.