Data Scientist / Machine Learning Optimization Engineer (MLE)

Dallas, TX

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Alto

Unlock a new kind of car service with professional employee drivers and luxury SUVs.

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About Alto

Alto is a destination for innovative, intellectually curious, and forward thinking people - we are disrupting the rideshare industry with a revolutionary, elevated experience and sustainable business model! At Alto we hire W-2 employee drivers, maintain a branded fleet of vehicles, and are transitioning to an all-electric fleet in 2023. We are rapidly growing, having raised a $45M Series-B in 2021 and accelerating towards a nationwide expansion. Today, we operate in Los Angeles, Dallas, Washington D.C., Miami, San Francisco, and Houston.

Position Overview

Alto's Technology and Engineering team is looking for a Machine Learning Engineer to join our optimization team. This person will have an immediate and meaningful impact on a high-growth startup and make changes that drive us forward. With a high degree of autonomy, you will get to work on solutions to complex problems, such as driver scheduling and routing/navigation efficiency and optimization.

 

What you'll do:

  • Design and create new machine learning models
  • Prepare and design data to test, develop and evaluate a model's effectiveness
  • Continue to evaluate and improve models over time
  • Launch models in close partnership with Alto's engineering team
  • Stay up-to-date with the newest OR tools and help Alto integrate new tools and technologies when appropriate
  • Participate in design, development and deployment transition of APIs and/or  microservices to integrate across multiple new and existing mobile and web  applications
  • Develop native mobile applications, web portals, and integration services using modern technology platforms and frameworks, specifically Kubernetes, Istio, Google Cloud Platform, Serverless Functions, and Machine Learning 
  • Provide technical leadership and collaborate with other team members across engineering, DevOps, product, customer support, operations, and others 

What you bring to the table:

  • 5+ years experience building enterprise-class applications
  • 5+ years experience writing applications in Java, Python or NodeJS
  • Previous experience launching and maintaining Machine Learning workflows
  • Previous experience with Kubeflow and similar technologies
  • Strong algorithm fundamentals
  • Experience building well-tested applications
  • Experience with APIs and microservice patterns using Kubernetes
  • Experience with modern relational and non-relational database platforms
  • Experience with Git (and Git-Flow patterns)
  • Excellent communication skills, a positive attitude, and self-motivated
  • Ability to operate in an agile, entrepreneurial start-up environment

What's in it for you:

  • Salary, bonus up to 10%, and equity in a high-growth startup
  • Monthly credit to ride Alto, plus membership
  • Health, dental and vision benefits, plus 401k with company match
  • Annual professional development reimbursement
  • 20% time
  • Unlimited PTO

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile APIs DevOps Engineering GCP Git Google Cloud Java Kubeflow Kubernetes Machine Learning Microservices ML models Node.js Python RDBMS

Perks/benefits: 401(k) matching Career development Equity Health care Salary bonus Startup environment Unlimited paid time off

Region: North America
Country: United States

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