Senior Software Engineer, ML Platform at Embark Trucks | Powderkeg

Location: San Francisco / Remote

Employment Type: Full-time

Team: Machine Learning Platform

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]( interface-accelerates-integration-of-self-driving-technology-across-major- truck-oem-platforms-301259787.html), shippers, and carriers to integrate our technology into the freight ecosystem, pursuing a [business model]( development-program-to-bring-embark-driver-to- market-301264418.html#::text=Embark%20launches%20its%20Partnership%20Development,on%20select%20US%20freight%20lanes.) 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.


  • 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).


  • 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]( public-in-5-2-billion-spac-deal-11624442400?mod=e2tw)

[Business Insider – Embark's Original Pitch Deck]( original-pitch-deck-2021-8)

Former “Mythbuster” Jamie Hyneman Hitches a Ride in an Embark Self-Driving Truck

[CNBC - Our Partner Development Program]( inbev-werner-enterprises-to-test-embark-autonomous-trucks.html)

[Forbes - The Embark Universal Interface]( carving-path-to-market-with-universal-truck-interface-new-fleet-partners/)

[Navigating Highway Work Zones with the Embark Driver]( the-embark-driver-6ab8c95822a9?source=collection_home---4------ 5-----------------------)

A few company highlights:

[Embark Blog - Series C and Transfer Hubs]( trucks/embark-announces-70m-series-c-led-by-tiger-global-14f09a4ac77)

[Forbes - 70 Million Dollar Series C ]( embark-raises-70-million-opens-freight-hubs-for-robot-big-rigs/#483b2d35653a)

Video - Day in the life of a self-driving truck

Embark Blog - Disengagement Report

[30 Million Dollar Series B led by Sequoia]( trucks/embark-announces-30-million-series-b-led-by-sequoia-394844f29c4c)

Job Summary
  • Job Title
    Senior Software Engineer, ML Platform
  • Company
    Embark Trucks
  • Location
    San Francisco, CA
  • Employment Type
    Full time
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