Direct from source · No middlemen
48 open positions · Updated 1 week ago
48 Triton roles across 25 companies, most in AI/ML; 2% fully remote; typical advertised salary $178.7k
Who is hiring (25 companies)
Role types
Work arrangement: 1 fully remote · 17 hybrid · 8 on-site · 22 not stated
Advertised salaries: p25 $158.9k · median $178.7k · p75 $203.5k (from 19 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 48 positions
Search with filters →Join Applied Intuition as an ML Runtime Optimization Engineer to optimize ML models for embedded environments in a collaborative team.
Join Periodic Labs as an ML Systems Engineer to build and optimize large-scale training and reinforcement learning infrastructure.
Join World Labs as a Performance Engineer to optimize AI models for speed and efficiency in a cutting-edge research environment.
Join Mirage as a Research Engineer to build and scale systems for cutting-edge video generation models in a dynamic AI-focused environment.
Join Preference Model as a Machine Learning Engineer to develop low-level reinforcement learning environments in a fast-paced startup.
Join CoreWeave as a Staff Software Engineer to lead the development of a Kubernetes-native inference platform for AI workloads.
Drive the adoption of AI runtime services at CoreWeave, leveraging your expertise in distributed systems and AI infrastructure.
Join Dyno Therapeutics as a Sr. Machine Learning Engineer to build and scale AI tools for genetic medicine.
Join ElevenLabs as a Research Engineer to deploy and optimize AI models for real-time applications in a fully remote environment.
Join SpaceX as a Software Engineer to develop high-performance AI inference systems for mission-critical applications.
Join Fireworks AI as a Software Engineer focused on Performance Optimization to enhance AI infrastructure efficiency and speed.
Join Cloudflare as a Senior Machine Learning Engineer to optimize and productionize ML models for a global serverless inference platform.
Lead the technical vision and ML algorithm strategy for the Search Group at Faire, enhancing personalized shopping experiences.