Senior Computer Vision and Machine Learning Engineer Job at Plato Systems, Remote

SVVXMmhvR0FmalRZeXZla0d3a0QydUpETGc9PQ==
  • Plato Systems
  • Remote

Job Description

About

We are a series-A startup building perception systems for autonomy. We are based in the San Francisco Bay Area, funded by NEA ( and our core team includes faculty entrepreneurs (Stanford) and industry veterans (Uber, Apple, Amazon Lab126, Rohde & Schwarz), who have successfully shepherded signal processing and machine learning innovations to large-scale software for location improvement and safety at Uber, led the development of state-of-the-art computer vision technologies that shipped over millions of Amazon devices, and delivered zero-to-one product experiences at Uber and Box. Our core product grew out of 5+ years of university R&D by our co-founders. You can find out more about us by visiting our website (

Our mission and team expertise spans beyond software to advanced sensor systems, algorithms, embedded systems, signal processing, and machine learning. Our team is building and deploying edge software and cloud services for real-time customer facing products as well 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 outside their expertise.

We currently have a full-time opening in the area of computer vision 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 Computer Vision (CV) and Machine Learning (ML) methods based on data from a variety of sensors. This position is open to both on-site and remote candidates (including Canada). 

Responsibilities

  • Research, design, develop and evaluate advanced image processing and computer vision algorithms for a real-time computer vision pipeline including but not limited to camera calibration, multi-object tracking, object detection and classification, segmentation, and multi-sensor fusion
  • Lead, maintain and improve our existing in-house algorithms and models, including continuous evaluation, gap analysis, re-training and fine tuning. 
  • Develop state of the art deep learning networks and architectures across data from multiple sensors; Tasks include training, evaluating, benchmarking and deployment into real-time pipelines
  • Optimize algorithm performance across a wide range of development platforms and embedded systems 
  • Develop 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 computer vision and classical computer vision for natural scene images
  • Hands-on experience with OpenCV, PIL, and other image processing libraries
  • Hands-on experience with at least one main stream deep learning framework such as PyTorch, TensorFlow, and ONNX
  • Experience with writing production level code
  • 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 well as specific approaches for classification, segmentation, and object detection (Mask-RCNN, SSDs, EfficientDet, …) and common datasets (CoCo, Kitti, nuScenes,...)
  • Solid software engineering foundation and a commitment to writing clean, well architected code
  • Familiarity with various physical aspects of sensors including cameras and Lidars
  • Publications in major CV/ML conferences and journals
  • Statistical modeling, analysis, and significance testing
  • Experience with edge computing (NVidia Jetson family, Raspberry Pi, ML accelerators) and coding for resource-constrained compute environments
  • Experience in supervising and mentoring junior engineers

Job Tags

Remote job, Full time,

Similar Jobs

Cedar Hill Regional Medical Center

Mammography Technologist Job at Cedar Hill Regional Medical Center

 ...pavilion for clinic visits and other outpatient services, a 500-car garage and a helipad for emergency transport. We are seeking a Mammography Technologist (PRN) Our ideal candidate will work under the direction of the Department Director/Manager/Lead, toperform... 

PalAmerican Security

Unarmed Security Guard - HamP Job at PalAmerican Security

All shifts available; FT and PT PalAmerican Security - Unarmed Security Guard Are you passionate about creating a safe and happy environment for communities? Do you have keen attention to detail and a desire to learn about security? Join PalAmerican Security, a... 

Cambridge Dental Consulting Group

Dental Practice Manager - Exceptional Opportunity (Dental Experience Required) Job at Cambridge Dental Consulting Group

 ...Exciting Leadership Opportunity: Dental Practice Manager for Multiple Locations At BDG Dental Services, we put YOU first . We're dedicated to helping you build a successful, fulfilling career by offering comprehensive support, growth opportunities, and the resources... 

Control Risks

Crisis Manager Job at Control Risks

 ...require the candidate to be in office 3 days a week in Seattle, WA or New York City, NY. Control Risks is looking to hire a Crisis Manager to support a major tech client of ours based in Seattle. This position will work directly with the clients Global Corporate Crisis... 

CAIF | Naturally Sourced Solutions

Inside Sales Representative Job at CAIF | Naturally Sourced Solutions

 ...Title: Inside Sales Representative Job Functions Sales, Account Management Reports to: Commercial Director Location:...  ...unmistakable persuasive ability to market them to food & beverage, pharmaceutical, nutraceutical supplement and pet food/animal nutrition...