Senior Software Engineer, ML Platform – Embark

Full time @Embark Career in Remote
  • California, United States, San Francisco, California, United States View on Map
  • Post Date : January 31, 2022
  • Apply Before : May 1, 2022
  • View(s) 36
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Job Detail

  • Job ID 42007
  • Career Level Senior Executive
  • Gender All
  • Qualifications certificate
  • Language Requirement
  • Region North America
  • Other Classifications startup
  • Special Programs y-combinator
  • Remote Yes
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Job Description

Embark Trucks is America’s Longest-Running Self-Driving Truck Program and is bringing autonomous freight mainstream. As covered by the Wall Street Journal, CNBC, Forbes, TechCrunch and and other outlets, Embark went public via a ~$5 billion SPAC deal in November 2021, and is listed on Nasdaq under the symbol EMBK. Embark is headquartered in San Francisco, CA with operations centers in Fontana, CA and Houston, TX, moving freight daily using our purpose-built transfer hubs. Embark has aligned itself with truck manufacturers, shippers, and carriers to integrate our technology into the freight ecosystem, pursuing a business model where fleets own and operate Embark trucks. This is an incredibly exciting time for autonomous vehicles and our team is looking to grow.
Embark uses machine learning to solve some of the hardest problems in self-driving. With engineers training new models every day, building and maintaining powerful infrastructure and data pipelines to enable fast iteration on our machine learning models is key to Embark’s success. Embark’s ML Platform team aims to build the best infrastructure to support the key functions of machine learning, including ground truth data collection, data curation and exploration, training, and evaluation.
As a software engineer on the machine learning platform team, you would work as part of our data engineering team to build infrastructure in direct support of machine learning, and ultimately work very closely with the teams using machine learning to define and execute on a roadmap for the platform.
 
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
 
Your experience should include:
 
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
 
Your experience might also include:
 
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).
Benefits
 
A full time, competitive salary with equity
Flexible paid vacation from the start
100% of the base insurance option covered for Medical, Dental, and Vision and a buy-up option for other plans
Life insurance covered by Embark
Access to a Flexible Spending Account & 401K Plan
Snacks & catered lunches
Work in a fast-growing startup revolutionizing transportation as we know it

 
 

At Embark we celebrate diversity and are committed to creating an inclusive environment for all employees.

Embark Trucks, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Embark in the Press:
The Wall Street Journal Embark Announces $5.2 Billion Deal to Go Public
Business Insider Embark’s Original Pitch Deck
Former €œMythbuster€ Jamie Hyneman Hitches a Ride in an Embark Self-Driving Truck
CNBC Our Partner Development Program
Forbes The Embark Universal Interface
Navigating Highway Work Zones with the Embark Driver

A few company highlights:
Embark Blog Series C and Transfer Hubs
Forbes 70 Million Dollar Series C 
Video Day in the life of a self-driving truck
Embark Blog Disengagement Report
30 Million Dollar Series B led by Sequoia
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