Careers
Career Opportunities
If you have the requisite skills and qualifications for any of the postings below, please submit an application.
Research Engineer (Computer Vision)
Numerati® Partners is hiring a part-time Research Engineer in Computer Vision. This candidate will utilize their skills in computer vision to analyze data modalities such as RGB, RGB-D, and LIDAR, for use-case applications such as 3D reconstruction, surface reconstruction, and depth estimation. The candidate will have knowledge of techniques such as deep learning (convolutional neural networks and their variants, transformer-based architectures for vision) as well a foundational background in established fundamentals of classical techniques for image processing and computer, machine and robot vision. In this role, you will collaborate with scientists and engineers to test and develop computer vision techniques, and develop metrics to analyze their domains of applicability and performance across time and shifting data distributions.
Responsibilities
- Research and engineering of computer vision prototypes which may broadly encompass the areas of 3D reconstruction, image processing, optimization, and deep learning.
- Perform sensitivity analysis and stress testing of models and methodologies to establish their limitations and describe their performance on edge-cases and shifting data distributions.
- Research and develop new metrics to measure the performance of models and establish model continuity through dataset shifts.
- Extract, transform, load (ETL) image data. Develop and maintain an ETL pipeline for computer vision models.
Knowledge & Skills
- The ability to quickly prototype a computer vision model and test and measure its performance, perform root cause analysis and ablation studies.
- The ability to perform statistical tests and evaluate statistical metrics to assess model performance.
- The ability to work and communicate in a team.
Minimum Qualifications
- Master’s degree in computer science, computer engineering, optical engineering, electrical engineering, or equivalent years of professional experience.
- 3+ years of modern C++ and/or Python experience and a working knowledge of these languages.
- Project experience with computer vision, machine learning, or computer graphics using tensorflow/pytorch.
Preferred Qualifications
- 1+ years of previous software engineering experience, with prior experience writing productionized code.
- Prior experience developing a consumer-facing API.
- Prior experience writing CUDA kernels.
Compensation
- Compensation will be commensurate with experience and qualifications.
Application
- CV, technical writing sample (preferably solo-authored) and recent transcript are required.
Signal Processing Technician / Engineer for Data Science Applications
Numerati® Partners is hiring a part-time Signal Processing Technician / Engineer for Data Science Applications. This candidate will utilize their skills in signal processing on a variety of sensor modalities, which may include electrical, RF, and LIDAR, for use-case applications such as automotive telematics, telemetry, remote sensing, optical image processing, electrical systems monitoring, Internet of Things, and standoff sensing. They will leverage techniques such as blind source separation, sparse coding, signal disaggregation, signal steganography, cluster analysis, and unsupervised learning applied to signals of diverse signal modalities. In this role, you will collaborate with scientists and engineers to test and develop signal processing techniques, and develop metrics to analyze their domains of applicability and performance across time and shifting data distributions.
Responsibilities
- Research and engineering of signal processing methodologies which may broadly encompass techniques such as blind source separation, sparse coding, signal disaggregation, signal steganography, cluster analysis, and unsupervised learning applied to signals of different media.
- Perform stress tests on models and methodologies to establish their limitations and describe their performance on edge-cases and shifting data distributions.
- Research and develop new metrics to measure the performance of models and establish model continuity through dataset shifts.
Knowledge & Skills
- Working knowledge of signal processing fundamentals and their mathematical requirements.
- Ability to conduct a literature review and determine the validity of a method, analyze performance trade-offs, and implement new methodologies.
- The ability to perform statistical tests and evaluate statistical metrics to assess model performance.
- The ability to work and communicate in a team.
Minimum Qualifications
- Master’s degree in optical or electrical engineering, physics, computer science, computer engineering, or equivalent years of professional experience.
- 3+ years of Python and MATLAB experience and a working knowledge of these languages. Experience with digital signal processing packages in these languages.
- Literacy in the fundamentals of electrodynamics.
- Project experience in signal processing with experience working with non-optical datatypes (e.g., RADAR, acoustic, vibrational, terahertz imaging).
Preferred Qualifications
- 2+ years of previous signal processing experience. Experience designing a proof of concept, implementation, and performance testing.
- Experience developing metrics for tracking algorithm performance across time and through distribution shifts.
Compensation
- Compensation will be commensurate with experience and qualifications.
Application
- CV, technical writing sample (preferably solo-authored) and recent transcript are required.
