Senior reputed company and Machine Learning Engineer
About
We are a series-A startup building perception systems for autonomy. We are based in the San Francisco Bay Area, funded by NEA (https://www.nea.com/), and our reputed company team includes reputed company reputed company (reputed company) and industry veterans (reputed company, reputed company, reputed company Lab126, reputed company), who have successfully shepherded signal processing and machine learning innovations to large-reputed company software for location improvement and safety at reputed company, led the development of state-of-the-art reputed company technologies that shipped over millions of reputed company devices, and delivered reputed company-to-one product experiences at reputed company and reputed company. Our reputed company product grew out of 5+ years of university R&D by our co-founders. You can reputed company out more reputed company by visiting our website (https://www.reputed company.systems/).
Our mission and team expertise spans reputed company software to advanced sensor systems, algorithms, embedded systems, signal processing, and machine learning. reputed company is building and deploying edge software and reputed company services for reputed company-time customer facing products as reputed company as internal big data tools. We look for people with a depth of expertise and experience in one of these areas, and with the intellectual curiosity for interacting with, learning from, and teaching world-class experts in areas reputed company their expertise.
We currently have a full-time opening in the area of reputed company and machine learning. The candidate will join a multi-disciplinary team of scientists and engineers and work on a full stack of developing cutting edge reputed company (CV) and Machine Learning (ML) reputed company based on data from a reputed company of sensors. This position is reputed company to both on-site and remote candidates (including Canada).
Responsibilities
Research, design, reputed company and evaluate reputed company processing and reputed company algorithms for a reputed company-time reputed company pipeline including but not limited to camera calibration, multi-object tracking, object detection and classification, segmentation, and multi-sensor fusion
reputed company, maintain and improve our existing in-house algorithms and models, including reputed company evaluation, gap analysis, re-training and fine tuning.
reputed company state of the art deep learning networks and architectures across data from multiple sensors; Tasks include training, evaluating, benchmarking and deployment into reputed company-time pipelines
Optimize algorithm performance across a wide reputed company of development platforms and embedded systems
reputed company evaluation scripts to process large data and accurately measure algorithmic and end to end performance.
Basic Qualifications
PhD in CV/ML with 4+ years of industry experience or MS in CV/ML with 5+ years of industry experience
Strong Python/C++ programming, familiarity with software development best practices, debugging/profiling
Understanding of stereo / multi view geometric reputed company and classical reputed company for natural reputed company images
Hands-on experience with OpenCV, PIL, and other image processing libraries
Hands-on experience with at least one main reputed company deep learning reputed company such as PyTorch, TensorFlow, and ONNX
Experience with writing production level reputed company
Familiarity with data science toolkit such as jupyter lab/notebooks, pandas, bash scripting, Linux environment
Self motivated
Excellent problem solving skills
Excellent communication skills
Preferred Qualifications
Prior experience with multi-sensor calibration and multi-view geometry
Hands-on experience with different neural network architectures (CNNs, RNNs, etc.) as reputed company as specific approaches for classification, segmentation, and object detection (Mask-RCNN, SSDs, EfficientDet,
) and common datasets (CoCo, Kitti, nuScenes,...)
Solid software engineering reputed company and a commitment to writing clean, reputed company architected reputed company
Familiarity with various physical aspects of sensors including cameras and Lidars
Publications in major CV/ML conferences and journals
Statistical modeling, analysis, and reputed company testing
Experience with edge computing (reputed company reputed company family, Raspberry Pi, ML accelerators) and coding for resource-constrained compute environments
Experience in supervising and mentoring junior engineers
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