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Senior Software Engineer
ML Platform
Posted on 2/1/2022
INACTIVE
Locations
San Francisco, CA, USA • Remote
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
AWS
Data Structures & Algorithms
Docker
Google Cloud Platform
MySQL
Postgres
Pytorch
Tensorflow
Kubernetes
Python
NoSQL
Requirements
  • BS or MS in computer science, engineering, or equivalent real-world experience
  • Strong and demonstrable abilities in Python
  • Significant experience working with cloud services such as AWS or GCP
  • Experience building backend services using traditional relational DBs (e.g., MySQL, PostgreSQL) as well as NoSQL data stores
  • Experience with production-level ML dataset curation as well as model training and evaluation pipelines
  • A good working understanding of machine learning project lifecycles
  • Experience with open-source and/or commercial cloud ML platforms, such as Kubeflow, Metaflow, or Sagemaker
  • Experience with training and deploying models built on common machine learning frameworks (Tensorflow, PyTorch, etc)
  • Experience collecting and working with ground truth data
  • Familiarity with containerization and orchestration frameworks (Docker, Kubernetes, etc)
Responsibilities
  • Design, build, and own data pipelines for collecting and storing ground truth and sensor data
  • Build databases and query engines that allow us to effectively curate the best data for training
  • Design and build a platform to power training and evaluation in the cloud, working directly with our ML teams to develop workflows that maximize their productivity
  • Work with our perception teams to scale efficient perception search systems for novel data
  • Accelerate model development and training with on-prem and cloud resources
  • Integrate with ground truth vendors to provide high quality labels
  • Productize and deploy cloud scale perception data algorithms
Embark Trucks

11-50 employees

Self-driving truck technology
Company Overview
Embark Trucks is on a mission to build a world where consumers pay less for the things they need, drivers stay close to the homes they cherish, and roads are safer for the people they love. By deploying autonomous trucks, they're also creating more sustainable supply chains that are less emissions-intensive, at a time of record freight demand with the growth of ecommerce.
Benefits
  • Flexible vacation
  • Paid Holidays
  • Team and Company-wide offsites and working retreats
  • Medical, dental, vision coverage
  • FSA and HSA Accounts
  • Mental Health Support
  • AD&D and life insurance
  • Paid parental leave
  • Ownership/equity for all employees
  • Pre-tax commuter benefits for onsite employees
  • Individual Learning & Development budget for employees
  • Meals & Snacks onsite
  • In-person and virtual social events
Company Core Values
  • Creativity
  • Collaboration
  • Underdog mentality