Full Stack Software Engineer - Perception Labeling & Tools
Foster City, CA, USA
Posted on Tuesday, October 24, 2023
We are seeking a highly skilled software engineer to design and develop platforms that support and facilitate AI model development for the Perception component of our autonomous driving stack. In this role, you will work closely with Machine Learning (ML) engineers, data scientists, and software engineers to build scalable and high-performance applications that enable ML engineers to efficiently curate and build model training datasets, as well as evaluate their models across petabytes of multimodal data. You will be responsible for conducting the design and implementation of the frontend application of various MLOps systems, ensuring that they follow best practices to maximize the tooling efficiency and ML engineers’ productivity.
In this role, you will:
- Collaborate with ML engineers and data scientists to understand business requirements and design MLOps applications that facilitate effective data operations, reveal data insights, and boost engineers’ productivity in ML model training and validation.
- Develop the front end of the MLOps applications, for example, a Dataset Management platform that enables ML engineers to curate label data for model training. Another example is the Metrics platform that enables ML engineers to build their own metrics and dashboards to evaluate the performance of their models.
- Collaborate with backend engineers and data engineers to integrate the frontend application seamlessly with data pipelines and workflows on top of modern data processing technologies such as Apache Spark and Databricks, to support the real-time processing and visualization of large-scale data.
- Monitor and optimize the performance of the applications to ensure high availability, scalability, and reliability, to support the development of mission-critical autonomous driving technology.
- 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 MLOps and data visualization, specifically related to autonomous driving perception and machine learning.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- At least 5 years of experience in software engineering and front-end application development.
- Experience designing and building modern data-intensive applications such as data warehouses that query and visualize data at a large scale.
- Experience with modern web frameworks (e.g. react, angular, vue), python API frameworks (e.g. FastAPI, Django), and writing high-quality backend Python code.
- Knowledge of SQL basics.
- Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
- Experience in MLOps application development and ML-related development in the Autonomous Driving industry
- Experience with Plotly Dash framework is a plus
- Experience working with distributed data processing platforms such as Databricks
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 $179,000-$294,000. 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.
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
If you need an accommodation to participate in the application or interview process please reach out to email@example.com or your assigned recruiter.
A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.