Senior ML Systems Engineer II, ML Orchestration

Cruise LLC

Cruise is a leading self-driving car company driven to improve life in our cities by safely connecting people with places, things & experiences they love.

We're Cruise, a self-driving service designed for the cities we love. We’re 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 help save lives, reshape cities, give back time in transit, and restore freedom of movement for many.

Cruise is committed to building a diverse, equitable, and inclusive environment, both in our workplace and in our products. If you are looking to play a part in 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.

The ML Orchestration team owns and develops Cruise’s workflow management platform. The platform provides a semantic orchestration framework for machine learning workflows and data processing at Cruise. We provide the necessary orchestration, big data, and compute layer to greatly accelerate the development cycle of AV engineers by empowering engineers to focus on improving the car’s safety and performance.

We are seeking an experienced Senior Software Engineer II to lead key initiatives within our ML Orchestration team, focused on helping scale our platform, create automation and self-service tools for our users, and help us run ML pipelines efficiently at scale. The successful candidate will have experience building and running scalable distributed systems, an understanding of open-source orchestration platforms such as AirFlow / KubeFlow / Flyte, and should have intellectual curiosity, and strong problem-solving skills.

Note: This role is for an AI/ML infrastructure engineering team, not an applied machine learning team. This team does not build ML models for specific applications. The team is focused on the infrastructure products that help our customers do machine learning and data science at scale.

What you’ll be doing:

1. Use the latest cloud (GCP/Azure) technologies to own, design, implement, and test scalable distributed compute and data processing in the cloud.
2. Own technical projects from start to finish, and be responsible for major technical design decisions and tradeoffs.
3. Effectively participate in team’s planning, code reviews, and design discussions.
4. Consider the effects of projects across multiple teams and proactively manage conflicts.
5. Conduct technical interviews with well-calibrated standards and play an essential role in recruiting activities.

What you must have:

1. 7+ years experience, with work on large-scale distributed systems preferred.
2. 3+ years of experience leading and driving complex projects.
3. Experience building scalable infrastructure on the cloud.
4. Experience working with relational and NoSQL databases.
5. Experience developing and maintaining systems at scale.
6. BS, MS, or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or another relevant field; or equivalent real-world experience.
7. Passionate about self-driving technology and its potential impact on the world.
8. Attention to detail and a passion for truth.
9. A track record of efficiently solving complex problems.
10. Startup mentality - openness to dealing with unknown unknowns and wearing many hats.

Bonus Points!

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

The salary range for this position is $152,000 - $223,500. 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.

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.

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.