Direct from source · No middlemen
343 open positions · Updated 1 week ago
343 Python roles across 162 companies, most in Management; 16% fully remote; typical advertised salary $174.3k
Who is hiring (162 companies)
Work arrangement: 55 fully remote · 125 hybrid · 57 on-site · 106 not stated
Advertised salaries: p25 $149k · median $174.3k · p75 $210k (from 173 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 343 positions
Search with filters →Lead the architecture direction for multimodal transformers at Kodiak Robotics, focusing on AI-powered autonomous technology.
Lead and mentor a team of DevOps engineers at an AI company focused on enterprise decision-making.
Lead the security function at Chai Discovery, ensuring trust with pharma partners and driving security initiatives.
Lead a team of MLOps engineers at an AI company transforming enterprise decision-making.
Lead a hands-on engineering team focused on data and ML infrastructure for a robotics platform in a hybrid NYC environment.
Lead the Context team at Profound, focusing on technical leadership and people management in a fast-paced AI-driven environment.
Lead the design and development of next-generation AI agents in a collaborative environment at Postman.
Lead the security and infrastructure engineering at Liberate, focusing on building a secure cloud foundation for AI-driven automation in insurance.
Lead Level 2 Data Center NOC Engineer responsible for technical leadership and operational ownership in modular and distributed data center environments.
Join Inworld AI as a Lead Machine Learning Engineer to optimize and serve state-of-the-art voice models in a dynamic environment.
Join Inworld AI as a Lead Machine Learning Engineer to optimize and serve state-of-the-art voice models in a dynamic startup environment.
Lead and grow a senior AppSec team at a leading AI video platform, focusing on security tooling and strategy.
Lead a team of Machine Learning and Computer Vision engineers to enhance robotics systems at Dexterity.
Lead the execution of large-scale human data programs that power frontier AI model training and evaluation.
Lead multi-week coding data initiatives for AI teams, coordinating skilled SWE Fellows and ensuring high-quality delivery.
Lead the marketing technology and operations at Baseten, ensuring robust systems for a rapidly scaling marketing engine.
Lead and mentor a team of Forward Deployed Engineers to optimize LLM inference workloads for Baseten customers.