Principal TLM – ML Data Infrastructure

This is a fully remote position, open to applicants in California, +1 more state.

📋 Description

• Lead and oversee engineers in the development and maintenance of scalable machine learning data infrastructure.

• Define and implement architectural patterns and best practices for data ingestion, processing, storage, and access.

• Collaborate with machine learning engineers, data scientists, data platform engineers, and product teams to convert data requirements into technical specifications.

• Analyze existing systems to pinpoint bottlenecks and opportunities for improvement in data pipelines and analytical platforms.

• Design efficient data flows and system architectures utilizing expertise in data pipeline development.

• Evaluate and integrate various technologies and tools to enhance the machine learning data infrastructure.

• Provide technical guidance and mentorship to junior engineers.

• Ensure adherence to data governance policies, security standards, and regulatory requirements.

• Participate in strategic planning and road mapping in alignment with company objectives.

• Identify and resolve potential issues through detailed problem-solving approaches.

• Conduct qualitative research to comprehend user needs and inform infrastructure development.

⛳️ Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline.

• Over 10 years of experience in data engineering, software development, or a related field with a focus on machine learning data infrastructure.

• Proven experience in leading and managing technical teams.

• Expertise in designing, building, and operating large-scale data systems and analytical platforms.

• Proficient in multiple programming languages relevant to data engineering, including Python, Scala, and Java.

• Solid understanding of AI and machine learning concepts along with their data requirements.

• Ability to identify system requirements and translate them into effective technical solutions.

• Familiarity with Agile Methodology and hands-on experience in an agile environment.

• Strong analytical, problem-solving, and communication skills.

• Detail-oriented mindset with a commitment to quality and accuracy.

• Previous experience in Robotics or Autonomous Driving is preferred.

🏝️ Benefits

• Bonus potential through an incentive pay program based on company, job-level, and individual performance.

• Medical insurance.

• Dental insurance.

• Vision insurance.

• Health Savings Account.

• Flexible Spending Accounts.

• Retirement savings plan.

• Sickness and accident benefits.

• Life insurance.

• Paid vacation and holidays.

• Tuition assistance programs.

• Employee assistance program.

• GM vehicle discounts.

• Company vehicle evaluation program, subject to motor vehicle report review and program requirements.

• Possible relocation benefits.