Senior Machine Learning Engineer

Summary

Join Parallel Domain, a company revolutionizing sensor data generation for AI development, and become part of the ML research team. You will develop perception algorithms, data pipelines, and tools, while collaborating with experienced professionals. This role involves creating datasets, adapting cutting-edge models, and maintaining the codebase. You will summarize findings, support customers, and stay updated on the latest research. The ideal candidate possesses a Master's or PhD in a related field, extensive Python experience, and strong machine learning skills. Parallel Domain offers competitive compensation, comprehensive benefits, flexible work arrangements, and opportunities for professional development.

Requirements

• Master’s or PhD in computer science or a related field
• Well-versed with developing machine learning models for computer vision tasks in either an industry or research environment
• Extensive experience in python
• Ability to write clean/maintainable code
• Working knowledge of Pytorch or Tensorflow
• You are fluent in english

Responsibilities

• Be part of the ML research team tasked with establishing best practices on creating and using synthetic data for perception
• Develop perception algorithms, data pipelines, introspection tools, domain gap measures and domain adaptation approaches
• Summarize your findings to help guide our team as well as our customers
• Sync with your team on a daily basis to discuss progress, ideas and problems
• Work with veterans from the gaming, movie and automotive industry
• Creating specific datasets for your experiments
• Adapting/implementing cutting-edge models and data pipelines
• Maintaining and optimizing our code base to enable fast experimentation
• Writing tools to inspect and measure the impact of synthetic data on training
• Summarizing and sharing your findings
• Supporting our customers
• Staying up to date with the latest research on synthetic data

Preferred Qualifications

• Experience with developing, deploying and improving perception stacks on AVs
• Experience with domain adaptation approaches or custom domain gap measures
• Experience at a fast-growing, young company
• Experience with workflow management systems such as Argo, Kubeflow, Airflow, Ray.io

Benefits

• Competitive compensation
• Employer-paid supplemental medical, mental health, dental, and vision benefits
• Flexible paid vacation, sick time, winter shutdown, and 11+ holidays per year
• Paid parental leave
• Equipment budget to optimize your setup
• Annual learning and development stipend