Senior Machine Learning Engineer - Perception
26 Days Old
The Perception Labeling and Tools team aims to automate the dataloop and lead data-driven model development platforms and processes. The team is responsible for:
- Data mining tools and data pipelines, such as active learning framework, miner scheduling and visualization tools, CLIP embedding indexes, etc.
- Labeling platforms such as human labeling web apps, labeling task and labeler management platform, auto-labeling pipelines.
- Dataset management app for label data curation and versioned dataset management and model-loop integration.
In this role, you will:
- Collaborate with ML engineers to research, implement, or improve autolabeling algorithms to generate auto-labeled data for model training and prototyping.
- Work with ML engineers and data scientists to evaluate auto-label data quality and seek a feedback loop to continuously improve model performance.
- Work with other software engineers in the team to integrate auto-label datasets and pipelines into the Dataloop platform to deliver impact on end-to-end data-driven ML development.
- Continuously define problems and opportunities to iterate the application with a visionary product roadmap that keeps stakeholders on the same page.
- Stay up-to-date with the latest trends and technologies in autonomous driving perception and machine learning, especially auto-labeling and unsupervised learning.
Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in software engineering and data-driven ML development.
- Experience with data management tools and frameworks.
- Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
Bonus Qualifications
- Experience in scalable AI computation frameworks such as Ray.
- Experience with human labeling or auto-labeling.
- Experience in ML-related development in the Autonomous Driving industry.
Compensation and Benefits
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $197,000-$252,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.
Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
- Location:
- Boston
