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Lead Machine Learning Jobs
65 open positions · Updated 4 days ago
65 Machine Learning roles across 33 companies, most in AI/ML; 11% fully remote; typical advertised salary $205k
Who is hiring (33 companies)
Work arrangement: 7 fully remote · 29 hybrid · 9 on-site · 20 not stated
Advertised salaries: p25 $172.5k · median $205k · p75 $253.3k (from 25 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 65 positions
Search with filters →Lead a team in developing motion planning and prediction for Kodiak's driverless trucks, focusing on technical direction and team growth.
Lead the Runtime Services team at Pinterest, focusing on platform reliability and engineering excellence with a hybrid work model.
Lead a team of ML engineers to develop models for credit lending decisions in Europe and Australia at Affirm.
Manage a team of ML engineers to build models for credit lending decisions across Europe and Australia at Affirm.
Lead compliance technology initiatives using AI tools to enhance oversight and monitoring for fiat and virtual currency products.
Lead a team of engineers to develop the AI systems for autonomous robots in a fast-growing robotics company.
Lead the Personalization product area at Faire, focusing on recommendation systems and improving retailer experiences.
Lead the vision and strategy for a new traveler context platform at GetYourGuide, shaping personalization for years to come.
Lead the technical strategy for Generative AI solutions in a fast-paced environment supporting digital-native companies across EMEA.
Lead the technical strategy for Generative AI solutions in a fast-paced environment supporting digital-native companies across EMEA.
Lead the technical direction for Generative AI solutions in a fast-paced environment supporting digital-native companies across EMEA.
Lead the technical efforts in Generative AI for EMEA Emerging Digital Natives, shaping architectures and mentoring teams.
Lead the development of advanced machine learning models to optimize agricultural operations at Halter.
Lead the development of computer vision and ML algorithms for clinical decision support at Neko Health.
Lead an engineering team focused on building scalable anomaly detection systems using AI and machine learning.
Lead a team of Solutions Architects to drive the adoption of the Databricks Platform at major tech companies.
Lead a team of engineers and applied scientists to develop foundational content understanding systems at Pinterest.
Lead the Insights Platform team at Airbnb, focusing on improving host earnings and listing quality through advanced engineering solutions.
Lead a research team at Datadog focused on foundation models and multimodal learning in a hybrid work environment.
Lead and manage a high-performance engineering team while remaining technically involved in building AI-powered analytics solutions.