Job Description

##### Job Description :

### **Responsibilities**

* * Develop and deploy scalable tools and services for our clients to handle machine learning training and inference
* Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, Model Registry, etc
* Design the data pipelines and engineering infrastructure to support Zoox’s machine learning systems and data mining at scale
* Support model development, with an emphasis on auditability, versioning, and data traceability
* Facilitate the development and deployment of proof-of-concept machine learning systems

### **Qualifications**

* * Strong software engineering skills in complex, multi-language systems
* Fluency in Python
* Exposure to machine learning methodology and best practices
* 6+ years of professional software engineering experience

### **Bonus Qualifications**

* * Proficiency in SQL, Scala, and Spark
* Exposure to deep learning approaches and modeling frameworks Python
* Exposure to ML deployment tools such as ONNX, TensorRT, torchscript etc.
* Experience in using popular MLOPs frameworks like MLFlow, Weight & Biases
* Exposure to data analytics frameworks such as databricks, tableau etc
* Experience on Perception and AVs systems
* Experience developing with containers and Kubernetes in cloud computing environments

**Compensation**

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 $173,000 - $246,000. A sign-on bonus may be part of a
compensation package. Compensation will vary based on geographic location,
job-related knowledge, skills, and experience.

Skills: