Foundation ML Data & Infrastructure Engineer

Dormont Manufacturing Co; United States; Hybrid; USD 213,000 - 263,000; Full time

Benefits offered by this job

Health, dental, vision, life, disability insurance

401(k) with company match

20 days of vacation per year

40 hours sick time per year

Maternity leave (Short-Term Disability + Baby Bonding)

18 weeks Baby Bonding leave

13 paid holidays per year

Job summary

Waymo is seeking a Machine Learning Engineer responsible for building petabyte-scale data systems and developing high-performance infrastructure. The role requires proficiency in Python and C++, along with experience in large-scale data pipelines.

Located in the United States, this position offers a competitive salary range of $213,000 to $263,000 and a comprehensive benefits package including health, retirement, and paid time off.

Qualifications

• Proficiency in building and maintaining large-scale data pipelines or ML infrastructure.
• Experience in developing methodologies for data-centric improvement of ML models.
• Strong hands-on software engineering skills with large, shared codebases.

Responsibilities

• Build and operate the petabyte-scale data systems.
• Develop automated, high-performance infrastructure for ML data solutions.
• Transform model innovations into tangible improvements at Waymo.

Skills

Python

C++

Machine Learning

Data Pipelines

Distributed Systems

Education

Undergraduate degree in Computer Science, Machine Learning, Robotics or similar

Tools

Flume

Spark

Borg

Kubeflow

Pytorch

JAX

Tensorflow

Job description

Waymo is seeking a Machine Learning Engineer responsible for building petabyte-scale data systems and developing high-performance infrastructure. The role requires proficiency in Python and C++, along with experience in large-scale data pipelines.

Located in the United States, this position offers a competitive salary range of $213,000 to $263,000 and a comprehensive benefits package including health, retirement, and paid time off.