Auto-apply is a Pro feature

Let Findyet apply to this job for you:

  • Your CV is tailored to this posting.
  • The application form's questions are answered from your profile.
  • You review everything and approve before anything is sent.
  • Findyet submits the application and adds it to your tracker.

Available on Greenhouse postings today, up to 3 applications a day on Pro.

The first 100 verified accounts get Pro free for 90 days.

See plans

Viaduct

Senior Machine Learning Engineer

Posted
Discussion

Summary

Senior Machine Learning Engineer at Viaduct — designs and improves ML pipelines for vehicle data, develops cutting-edge algorithms, and explains model behavior to clients. Core technologies include Python, TensorFlow, PyTorch, Spark, Hadoop, Airflow, and convex optimization.

Compensation: $175k – $250k

Who You Are

You are an effective engineer. Whether it be designing a more efficient ML pipeline, developing cutting-edge algorithms, or explaining model behavior to clients, you are up for the challenge. You are the communication bridge between infrastructure and data science, keeping both teams aligned on priorities and goals. You have a propensity for creating processes to help you and the rest of the team be more productive. You embrace new and unfamiliar responsibilities.

Day 5

  • Learn about Viaduct’s history and mission
  • Get to know every team member
  • Set up your development environment
  • Understand Viaduct’s ML pipeline and identify opportunities for improvement
  • Deep dive into the nuances of vehicle data and current modeling techniques
  • Attend our weekly ML lunch

Day 30

  • Improve Viaduct’s existing ML pipeline
  • Start planning for Viaduct’s future modeling needs
  • Collaborate with engineers on system and tooling improvements
  • Deploy models to production
  • Present your work at our weekly ML lunch

Day 90

  • Be a leader on the machine learning team
  • Build new products at the forefront of machine learning
  • Simplify patterns for promoting a model to production
  • Present your models and relevant metrics to clients

Expected Skills

  • Able to communicate complex ideas from ML research papers
  • 6+ years in software development
  • 4a+ years working with production ML pipelines and large-scale data processing tools (Spark, Hadoop, Airflow, etc)
  • Extensive Python experience (TensorFlow, CVXPY, PyTorch)
  • Experience as a tech lead and mentor
  • Familiar with the requirements of real-time inference
  • Masters or PhD preferred

Why Viaduct

  • Work with established experts in deep learning, time-series analytics, and convex optimization
  • Endless opportunities for technical learning and personal growth
  • Full health, vision, and dental benefits

If the challenge of helping automakers create a future of safe, reliable, and personalized vehicles excites you, please reach out at [email protected]!

Skills

What Senior ML / AI jobs ask for — and how much of it you have →
Apply

See also

ML / AI jobs by country — openings, pay and top skills →

Tailor your CV for this role?

We couldn't check your fit for this role — add a CV to your profile to see it next time.