Senior Machine Learning Operations (MLOps) and Infrastructure Engineer

Airbus Group; Sunnyvale (CA); Hybrid; USD 168,000 - 207,000; Full time

Job summary

Join a forward-thinking team that is revolutionizing the aviation industry through the development of scalable autonomy systems. As a Senior Machine Learning Operations and Infrastructure Engineer, you will play a pivotal role in the deployment and maintenance of AI software and infrastructure. This dynamic position allows you to innovate and collaborate in an agile environment, contributing to cutting-edge aerospace applications. With a competitive salary and comprehensive benefits, this role is perfect for those passionate about technology and aviation. Embrace the opportunity to make a significant impact in a rapidly evolving field.

Benefits

Health Insurance

Paid Time Off

401(k)

Flexible Spending Account

Health Savings Account

Employee Share Ownership Plan

Flight Training

Qualifications

• 7+ years of industry experience as a software developer.
• Experience in deploying ML models to production.
• Strong communication skills and presentation abilities.

Responsibilities

• Design and maintain infrastructure for machine learning models.
• Optimize workflows for data processing and model training.
• Develop custom software to enhance AI capabilities.

Skills

Python

Machine Learning

Workflow Orchestration Tools

Communication Skills

Education

Bachelor's Degree in Computer Science

Master's Degree in Computer Science

Tools

Docker

WandB

MLflow

Grafana

Job description

WAYFINDER

Our Wayfinder team is building scalable, certifiable autonomy systems to power the next generation of commercial aircraft. Our team of experts is driving the maturation of machine learning and other core technologies for autonomous flight; we are creating a reference architecture that includes hardware, software, and a data-driven development process to allow aircraft to perceive and react to their environment. Autonomous flight is transforming the transportation industry, and our team is at the heart of this revolution.

The Opportunity/Role Description

As a Senior Machine Learning Operations and Infrastructure Engineer, you will develop, operate and maintain our AI software and infrastructure. This capability powers our data generation, processing, training, deployment, and evaluation of our AI-based products for aerospace applications. You'll have the freedom to be hands-on, drive innovation, and maintain an agile work environment that fosters collaboration and creativity.

Responsibilities

• Design, develop, and maintain infrastructure to support the development, training, and deployment of machine learning models.
• Optimize and automate workflows for data processing, model training, and testing.
• Implement robust tracking, monitoring, and observability solutions to ensure system health and performance.
• Develop and maintain custom software to accelerate our tooling and AI capabilities.
• Write high quality, product level code that is easy to maintain and test following standard methodologies.

Qualifications

• Bachelor degree (or equivalent industry experience) in computer science, or a related discipline.
• 7+ years of industry experience as a software developer.
• Experience in deploying ML models to production.
• Extensive experience in Python.
• Familiarity with workflow orchestration tools (e.g. Dagster, Airflow, Dagster, Prefect).
• Experience with containerization tools (e.g. Docker).
• Experience with experiment tracking and model registry tools (e.g., WandB, MLflow).
• Strong communication skills and presentation abilities.

Nice to have

• Databases: OLTP, OLAP, NoSQL and know when to use each.
• Experience with vector DBs (e.g., Pinecone, Weaviate, Milvus, FAISS).
• Master degree in Computer Science or a similar discipline, or an equivalent amount of machine learning experience.
• Experience in developing on or using deep learning frameworks (e.g., PyTorch, TensorFlow, ONNX, etc.) and distributed data loading.
• Experience with monitoring and observability tools (e.g., Grafana).
• Passion for aviation and autonomous systems.
• Experience with infrastructure supporting ML training and testing for vision application.

Compensation:

The estimated salary range for this position is $168,295 to $206,625 annually. Enjoy comprehensive benefits: health insurance, paid time off, holidays, 401(k), Flexible Spending Account, Health Savings Account, Airbus Employee Share Ownership Plan, flight training, and more.

Experience flexibility with our hybrid work model, which includes three days in the office to foster collaboration and innovation while allowing for remote work options. Additionally, employees can work remotely—inside or outside the U.S.—for up to 31 days per year.

Why Join Us?

Be a part of a dynamic team that values creativity, collaboration, innovation and problem solving. At Acubed, your contributions will directly impact our digital future. We welcome diverse perspectives and are committed to fostering an inclusive environment.

Acubed is committed to creating a fair and equitable workplace for all. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities.

Acubed Requirements

All job offers at Acubed are contingent upon the candidate passing references, background and export control checks.

* Please Note that Acubed does not offer sponsorship of employment-based nonimmigrant visa petitions for this role.