Machine Learning Engineer at Postmates

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Postmates

(92 open jobs)

Postmates powers local, on-demand logistics focused on fast deliveries from any type of merchant at scale.


Job title
Machine Learning Engineer
Job listing last updated at
Apr 23, 2019
Job listing location
San Francisco or Vancouver
Job listing source
greenhouse
Job listing link
External link
Bay Area company location: 690 5th St, San Francisco CA

Job description

At Postmates X, we are reimagining how things move in cities. Serve, our personable sidewalk delivery robot, is our vision for the future of delivery. It’s designed to take deliveries away from congested streets and onto underutilized alleys and sidewalks, to save energy, reduce emissions, reduce traffic, and make deliveries faster and cheaper. Why move two-pound burritos with two-ton cars?

Serve has been years in the making and has already done thousands of customer deliveries.

WHO ARE WE?

We are tech industry veterans in software, hardware and design who are pooling our individual talents together to build a legacy. Our team is inclusive, agile, and driven by a common purpose. We are solving real-world problems with machine learning, computer vision, and robotics, with a mindful eye towards the end-to-end user experience. By joining our team, you will help create the first robotic helpers entering our cities: moving alongside us and running our errands!

WHAT WILL YOU DO?

In this role you will work closely with the other robotics engineers to design and develop deep learning / neural network strategies for autonomous vehicles. We don’t require you to have deep experience in industrial/academic research, but we hope you have experience and knowledge in machine learning / deep learning algorithms, strong understanding of computer systems, and solid software design and coding skills.

RESPONSIBILITIES

  • Develop and implement machine learning / deep learning algorithms to solve tasks in perception, computer vision, and planning.
  • Design, develop and maintain pipelines for data collection, labeling, and verification.
  • Design, develop and maintain pipelines for model training and deployment.

QUALIFICATIONS

  • BS degree with 3 years experience or MS in Computer Science.
  • Proficient in Python or C++.
  • Knowledge in linear algebra, calculus, statistics, and optimization
  • Experience with statistical machine learning algorithms or deep learning algorithms.
  • Experience with data collecting and cleaning.
  • Experience with a deep learning framework: TensorFlow or Pytorch.

BONUS

  • PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field
  • Experience with data visualization.
  • Experience with backend programming.
  • Experience with computer vision algorithms: object detection and tracking, semantic segmentation, or visual landmark retrieval.
  • Experience with reinforcement learning algorithms: deep Q-learning or imitation learning.

BENEFITS

  • Competitive salary and generous stock option plan
  • Medical, dental and vision insurance
  • We'll provide equipment you need to work efficiently and creatively
  • Paid parental leave, vacation time and sick time
  • Catered lunches and open snack bar
  • Impact-first work environment (no politics, no pandering)
  • Huge company vision (we need you to build the future, not just maintain the status quo)
  • Full support to contribute to open source projects
  • Awesome office located in Financial District just minutes from BART, Muni, AC Transit, and SamTrans

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