Staff MLOps Engineer at Turo

Paris, Île-de-France, France

Turo Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
TechnologyIndustries

Requirements

  • More than 5 years of experience in the industry
  • Solid experience in development and infrastructure
  • Experience in setting up and scaling ML training, testing, and production pipelines
  • Proficiency in programming with Python
  • Experience with Java and Kotlin is a plus
  • Experience with infrastructure as code (IaC) tools such as Terraform
  • Knowledge of Kubernetes, Airflow, and distributed systems
  • Understanding of statistical methods, optimization techniques, and machine learning algorithms
  • Enthusiastic and ready to innovate
  • Fluent in English (recruitment process in English)

Responsibilities

  • Play a central role in creating and optimizing the machine learning and AI platform
  • Collaborate with Data Science and Machine Learning Engineering teams to build and maintain performant ML pipelines, from feature creation to model deployment
  • Develop optimized infrastructure for training, tuning, and serving models at scale
  • Select and integrate the best tools for each stage of the ML cycle (orchestration, feature store, distributed computing, artifact registry, etc.)
  • Leverage expertise in key OSS ecosystem technologies (primarily Ray, MLFlow, Airflow, Docker, Kubernetes)
  • Improve batch and real-time processing systems, ensure robust and maintainable code
  • Mentor and support the team, fostering a culture of excellence and continuous learning

Skills

Ray
MLflow
Airflow
Docker
Kubernetes
MLOps
ML Pipelines
Feature Store
Distributed Computing
Model Deployment

Turo

Peer-to-peer car sharing platform for rentals

About Turo

Turo operates in the peer-to-peer car sharing market, allowing private car owners to rent out their vehicles to others. Car owners can list their vehicles on Turo’s platform, where they set their own rental prices and availability. Renters can browse these listings, select a vehicle that meets their needs, and book it for a specific time. Turo facilitates the transaction by providing insurance coverage and customer support, ensuring a smooth experience for both car owners and renters. The company earns revenue by taking a percentage of the rental fee, which aligns its interests with those of its users. Turo stands out from competitors by offering a diverse range of vehicles, including everyday cars, luxury, and specialty options. The goal of Turo is to provide a flexible and cost-effective alternative to traditional car rental services, leveraging the sharing economy to connect car owners with renters.

San Francisco, CaliforniaHeadquarters
2009Year Founded
$451.3MTotal Funding
POST_IPO_EQUITYCompany Stage
Automotive & Transportation, Consumer GoodsIndustries
1,001-5,000Employees

Risks

Negative incidents involving rented vehicles could damage Turo's reputation.
New competitors like ZEV co-op could capture market share with eco-friendly models.
Market volatility could impact Turo's IPO plans and investor confidence.

Differentiation

Turo offers a wide variety of vehicles, from everyday to luxury models.
The platform provides a cost-effective alternative to traditional car rental services.
Turo's commission-based model aligns its interests with users' successful transactions.

Upsides

Turo's partnership with United Airlines enhances customer acquisition and retention.
Expansion in Australia indicates potential for further international market penetration.
Winning the unitQ Quality Excellence Award highlights Turo's commitment to customer experience.

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