At a Glance
- Tasks: Develop ML models for real-time rideshare routing and optimize route queries.
- Company: Join Lyft, a leader in innovative transportation solutions.
- Benefits: Competitive salary, flexible work environment, and opportunities for growth.
- Other info: Collaborative team atmosphere with exciting challenges and career advancement.
- Why this job: Make a difference in ridesharing with cutting-edge technology and impactful projects.
- Qualifications: Experience in machine learning and coding, plus a passion for problem-solving.
The predicted salary is between 135000 - 165000 $ per year.
Lyft is hiring a Machine Learning Engineer to join the Routing team in Toronto.
You will work on systems that provide routes for every ride request, processing millions of route queries daily with a focus on low latency, reliability, and accuracy.
The role involves developing ML and optimization models, writing production-grade code, and collaborating with software engineering, ML, and data science teams in a hybrid in-office setting.
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ML Routing Engineer: Real-Time, Scalable Rideshare ML in Toronto employer: Lyft
Lyft est un employeur exceptionnel pour les chauffeurs à Trois-Rivières, offrant une flexibilité inégalée et la possibilité de gagner des primes attractives. Avec un environnement de travail dynamique où vous gardez 100 % de vos pourboires, Lyft favorise la croissance personnelle et professionnelle tout en permettant aux chauffeurs de gérer leur propre horaire. Rejoindre Lyft, c'est faire partie d'une communauté qui valorise l'autonomie et le soutien mutuel.
