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Python Jobs in San Francisco
1300 open positions · Updated 1 week ago
1300 Python roles across 202 companies, most in AI/ML; 3% fully remote; typical advertised salary $183k
Who is hiring (202 companies)
Work arrangement: 36 fully remote · 591 hybrid · 238 on-site · 435 not stated
Advertised salaries: p25 $155k · median $183k · p75 $228.5k (from 790 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 1300 positions
Search with filters →Join CoreWeave as a Senior Supply Chain Analytics Engineer to transform data into actionable insights for supply chain leaders.
Design and develop AI agents and applications to enhance CoreWeave’s internal ecosystem as a Senior Software and AI Engineer.
Join CoreWeave as a Senior Network Security Engineer to safeguard operational technologies in a fast-paced, innovative environment.
Lead critical cybersecurity incidents and build advanced threat response capabilities at a rapidly growing public AI infrastructure company.
Join CoreWeave as a Senior Engineer I to design and optimize large-scale data systems for AI/ML in a fully remote environment.
Join CoreWeave as a Senior Data Engineer to design and build foundational datasets for analytics and AI in a fast-growing public company.
Join CoreWeave as a Senior IT Systems Engineer to build and operate cloud infrastructure across GCP, Azure, and AWS.
Lead a team of Solutions Architects to manage complex customer deployments across various cloud environments.
Own and evolve the data lake and analytics stack for fleet monitoring at CoreWeave, leveraging modern data technologies.
Lead and scale CoreWeave's Platform Security engineering function, focusing on security in Kubernetes and multi-cloud environments.
Join CoreWeave as an Applied AI Engineer to enhance the performance of our inference platform through benchmarking and optimization.
Join Lyft as a Staff Applied Scientist to develop ML and optimization models that enhance pricing and ETA decisions.
Join Lyft as a Software Engineer to design and build the platform powering the ride experience in a collaborative hybrid environment.
Join Lyft's ETA team as a Machine Learning Engineer to enhance ride experience through accurate ETA predictions.
Lead efforts in causal inference and marketing mix models to optimize marketing investments at Lyft.
Lead technical initiatives in data science to enhance Lyft's enterprise offerings and drive growth through algorithm development.
Lead analytics for safety reporting at Lyft, driving insights to enhance customer support experiences.