Staff ML Systems Engineer, ML Orchestration Specialist

hace 1 mes

Honda, Tolima, Colombia Aitopics A tiempo completo
Cruise LLC

Cruise is a pioneering self-driving car company dedicated to revolutionizing urban mobility by safely connecting people with places, experiences, and services they love. Our mission is to create a world where transportation is seamless, efficient, and enjoyable.

We're Cruise, a self-driving service designed for the cities we love. Our team is building the world's most advanced self-driving vehicles to safely connect people to the places, things, and experiences they care about. We believe self-driving vehicles will transform cities, save lives, give back time in transit, and restore freedom of movement for many.

In our cars, you're free to be yourself. It's the same here at Cruise. We're creating a culture that values the experiences and contributions of all our unique individuals, so every employee can do their best work. We're committed to building a diverse, equitable, and inclusive environment, both in our workplace and in our products.

If you're passionate about making a positive impact in the world by advancing the revolutionary work of self-driving cars, come join us. Even if you might not meet every requirement, we strongly encourage you to apply. You might just be the right candidate for us.

About the Team:

The Machine Learning Orchestration team at Cruise is dedicated to owning and developing our cutting-edge workflow management platform. This platform provides a semantic orchestration framework for machine learning workflows and data processing, enabling our engineers to accelerate the development cycle and focus on enhancing the safety and performance of our autonomous vehicles.

Position Overview:

We're seeking an experienced Staff Software Engineer to lead pivotal initiatives within our ML Orchestration team. You'll play a crucial role in scaling our platform, developing automation and self-service tools for our users, and ensuring the efficient operation of ML pipelines at scale.

Note: This role is part of an infrastructure engineering team and doesn't involve the application of machine learning models for specific tasks. Instead, the focus is on developing infrastructure products that empower our customers to perform machine learning and data science at scale.

What You'll Be Doing:

  • Design & Implementation: Utilize the latest cloud technologies (GCP/Azure) to design, implement, and test scalable distributed computing and data processing solutions in the cloud.
  • Project Ownership: Take ownership of technical projects from inception to completion, contribute to the product roadmap, and make informed decisions on major technical trade-offs.
  • Collaboration: Effectively engage in team planning, code reviews, and design discussions, considering the impact of projects across multiple teams while proactively managing conflicts.
  • Mentorship & Recruitment: Conduct technical interviews with calibrated standards, onboard, and mentor engineers and interns, fostering a culture of growth and knowledge sharing.

What You Must Have:

  • 8+ years of experience, with a strong background in large-scale distributed systems preferred.
  • 3+ years of experience leading and driving large-scale initiatives.
  • Proficiency in building scalable infrastructure on the cloud using Python, C++, Golang, or similar languages.
  • Experience working with relational and NoSQL databases.
  • Demonstrated ability to develop and maintain systems at scale.
  • A Bachelor's, Master's, or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field; or equivalent practical experience.
  • A passion for self-driving technology and its transformative potential.
  • Strong attention to detail and a commitment to accuracy.
  • A proven track record of efficiently solving complex problems.
  • A startup mentality with a willingness to embrace uncertainty and wear multiple hats.

Bonus Points:

  • Experience with Google Cloud Platform, Microsoft Azure, or Amazon Web Services.
  • Experience with open-source orchestration platforms such as Kubeflow, Flyte, Airflow, etc.
  • Experience with Kubernetes.
  • Understanding of Machine Learning (ML) models/pipelines.
  • Python/C++/Golang proficiency.
  • Relevant publications.

The salary range for this position is $175,100 - $257,500. Compensation will vary depending on location, job-related knowledge, skills, and experience. You may also be offered a bonus, long-term incentives, and benefits. These ranges are subject to change.

Why Cruise?

Our Benefits Are Here to Support the Whole You:

  • Competitive salary and benefits.
  • Medical / dental / vision, Life and AD&D.
  • Subsidized mental health benefits.
  • Paid time off and holidays.
  • Paid parental, medical, family care, and military leave of absence.
  • 401(k) Cruise matching program.
  • Fertility benefits.
  • Dependent Care Flexible Spending Account.
  • Flexible Spending Account & Health Saving Account.
  • Perks Wallet program for benefits/perks.
  • Pre-tax Commuter benefit plan for local employees.
  • CruiseFlex, our location-flexible work policy.

We're Integrated:

  • Through our partnerships with General Motors and Honda, we are the only self-driving company with fully integrated manufacturing at scale.

We're Funded:

  • GM, Honda, Microsoft, T. Rowe Price, and Walmart have invested billions in Cruise. Their backing for our technology demonstrates their confidence in our progress, team, and vision and makes us one of the leading autonomous vehicle organizations in the industry. Our deep resources greatly accelerate our operating speed.

Cruise LLC is an equal opportunity employer. We strive to create a supportive and inclusive workplace where contributions are valued and celebrated, and our employees thrive by being themselves and are inspired to do the best work of their lives.

Cruise is committed to the full inclusion of all applicants. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know or email

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