Senior Software Engineer, ML Data Platform

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Written by AI from the job title and company, not by Cruise, so some details may not match this job. The employer's own page has the real description.

Overview

The Senior Software Engineer, ML Data Platform at Cruise will play a pivotal role in designing and developing robust data solutions that support machine learning initiatives aimed at enhancing autonomous vehicle technology. The ideal candidate will be responsible for architecting scalable data platforms, optimizing data workflows, and ensuring the integrity and quality of data for modeling processes. This role involves close collaboration with cross-functional teams to deliver innovative and effective data solutions, contributing to the overall mission of Cruise in providing safe and reliable autonomous transportation.

Job Responsibilities

• Design and implement scalable data pipelines to support ML model training and evaluation.
• Collaborate with data scientists to ensure data availability and quality for machine learning workflows.
• Optimize existing data processing frameworks to improve efficiency and throughput.
• Manage the deployment and monitoring of data processing solutions in production environments.
• Contribute to architectural decisions and provide mentorship to junior engineers.
• Ensure compliance with data governance policies and implement best practices for data security.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
• 5+ years of experience in software engineering, with a focus on data engineering or machine learning.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with big data technologies such as Apache Spark, Hadoop, or Kafka.
• Strong understanding of database systems (SQL and NoSQL) and data modeling.
• Proven ability to work in a cross-functional team and manage multiple priorities.

Technologies & Tools

In this position, the Senior Software Engineer will utilize a variety of technologies and tools, including but not limited to Apache Spark for data processing, AWS for cloud infrastructure, SQL and NoSQL databases for data management, and various machine learning frameworks such as TensorFlow or PyTorch. Familiarity with containerization tools like Docker and Kubernetes would also be beneficial for managing scalable deployments.

Ideal Candidates

The ideal candidates for the Senior Software Engineer position will possess a strong analytical mindset and demonstrate a proactive approach to problem-solving. They should have a passion for technology and innovation in the autonomous vehicle industry, along with excellent communication skills to effectively collaborate with a diverse range of stakeholders. Candidates should also be adaptable, open to new ideas, and committed to fostering a culture of learning and continuous improvement within their team.