Computer Vision Scientist Resume Samples

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K Hane

Kayley

Hane

87124 Wiley Forge

New York

+1 (555) 978 9271

87124 Wiley Forge

New York

Phone

p +1 (555) 978 9271

Experience Experience

San Francisco, CA

Computer Vision Scientist

San Francisco, CA

Baumbach, Kassulke and Hudson

San Francisco, CA

Computer Vision Scientist

Participating in computer vision and machine learning algorithms and applications development
Leading platform architecture and software development of 3D data reconstruction and manipulation
Implement computer vision algorithms in an embedded autonomous vehicle development environment
Ground truth, test, and validate algorithms for statistical performance, as it relates to current state-of-the art and other sensor modalities
Individuals in this role are expected to be recognized experts in identified research areas such as computer vision, artificial intelligence, machine learning, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception and data representation. You will
Integrate embedded code with the larger Tesla Autopilot development team to introduce new features and capabilities to Tesla’s vehicles
Ensure quality of software developed meets or exceeds expectations

Philadelphia, PA

Computer Vision Research Scientist

Philadelphia, PA

Stamm-Brown

Philadelphia, PA

Computer Vision Research Scientist

Track general business activity and provide clear, compelling management reports on a regular basis
Collaborate closely with team members on developing systems from prototyping to production level
You'll develop novel real-time 3D scene reconstruction techniques and deliver accurate visual odometry systems
You'll develop creative computer vision and tracking software for a variety of Oculus products and services
Graduating with a PhD by December 2016, or completing a university postdoctoral assignment
Implement and evaluate existing 3D reconstruction methods
PhD in Computer Science, Electrical Engineering, or related field

present

Philadelphia, PA

Research Scientist, Computer Vision

Philadelphia, PA

Miller Inc

present

Philadelphia, PA

Research Scientist, Computer Vision

present

Collaborate with other researchers and engineers to develop experiments and concepts that advance the entire project
Work with the team to help design, setup, and run practical experiments related to large scale long-duration perceptual reasoning
Plan and execute cutting edge research to advance the state of the art in online learning and inference methods
Contribute research that can be applied to Oculus product development
Develop robust software for integrating multiple sensors and tracking systems
Develop state-of-the-art computer vision, tracking, and mapping algorithms
Prototype hardware and software solutions for tracking, detection, and modeling

Education Education

Bachelor’s Degree in Ambiguity

San Diego State University

Bachelor’s Degree in Ambiguity

Skills Skills

Proficiency in C/C++, Python, and/or Matlab
Ability to work independently and work with limited direction to accomplish project goals
Excellent customer communication skills
Excellent customer-focused work ethic
Ability to work effectively in fast-paced, team environment
Good presentation skills
Ability to effectively work with internal & external customers
Clear, concise writing skills
Familiarity with deep learning tools including Theano, Torch, Caffe and/or TensorFlow

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15 Computer Vision Scientist resume templates

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Computer Vision Research Scientist Resume Examples & Samples

You'll develop creative computer vision and tracking software for a variety of Oculus products and services
You'll develop novel real-time 3D scene reconstruction techniques and deliver accurate visual odometry systems
You'll research and prototype techniques and alogrithms for object detection and recognition
Implement and evaluate existing 3D reconstruction methods
Prototype hardware and software solutions for tracking, detection and modeling

Computer Vision Scientist Resume Examples & Samples

Individuals in this role are expected to be recognized experts in identified research areas such as computer vision, artificial intelligence, machine learning, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception and data representation. You will
Develop state-of-the-art algorithms in one or all of the following areas: deep learning (convolutional neural networks), structure from motion, object detection/classification, scene understanding, disparity point cloud, 3D scene reconstruction, visual odometry, stereo vision, multi-sensor fusion, etc
Implement computer vision algorithms in an embedded autonomous vehicle development environment

Autopilot, Computer Vision Scientist Resume Examples & Samples

Ground truth, test, and validate algorithms for statistical performance, as it relates to current state-of-the art and other sensor modalities
Integrate embedded code with the larger Tesla Autopilot development team to introduce new features and capabilities to Tesla’s vehicles
Excellent C/C++ coding, object-oriented programming, embedded implementation and familiarity with multi-threaded programming concepts
Experience with OpenCV and related computer vision libraries
Strong embedded systems programmer and familiarity with their SDKs and real-time operating systems
Strong familiarity with parallel programming languages such as CUDA, OpenGL, OpenCL
Experience with sensors related to autonomous driving research such as lidar, radar, ultrasonic, IR camera, depth camera, stereo camera, etc
Experience with deep learning frameworks such as Caffe, Torch, Theano, etc
Familiarity with Matlab or other quick prototyping tools
Ph.D. in computer vision or M.S. with greater than 3 years’ experience in a core computer vision area

Computer Vision Research Scientist Resume Examples & Samples

Innovate new real-time computer vision algorithms for hand and body tracking
Research and prototype techniques and algorithms for object detection and recognition
Devise better data-driven dynamical models of hand and body motion
Attend computer vision conferences, and publish and present papers in international conferences and journals

Machine Learning & Computer Vision Scientist Resume Examples & Samples

Ph.D. in Computer Science or Electrical/Computer Engineering with emphasis on computer vision and/or machine learning
Solid Python and C++ programming background
Solid background on software development on Linux operating system and related tools, such as Emacs, GCC, etc
Familiarity with vision and learning libraries, such as scikit-learn, OpenCV, Caffe and Keras
Prior work on multimedia indexing using locality-preserving methods
Prior work using deep learning, especially convolutional neural networks, long short term memory, and deep autoencoders
Experience with deep learning frameworks such as TensorFlow, Theano and Torch
Familiarity with modern virtualization technologies

Research Scientist, Computer Vision Resume Examples & Samples

Develop state-of-the-art computer vision, tracking, and mapping algorithms
Prototype hardware and software solutions for tracking, detection, and modeling
Build novel real-time 3D scene reconstruction techniques
Contribute research that can be applied to Oculus product development
Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities)
Research and prototype techniques and algorithms for object detection, segmentation, and/or recognition

Computer Vision Research Scientist Resume Examples & Samples

PhD and/or postdoctoral assignment in the field of Computer Vision, Pure Mathematics, or Machine Learning or related field
Graduating with a PhD by December 2016, or completing a university postdoctoral assignment
Experience with statistical analysis of data and mathematical modeling
Knowledge and experience with virtual reality research preferred
Proven track record of achieving significant research results, including top-tier, first-authored journal publications
Proven track record of building well-tested research systems

Computer Vision Data Scientist Resume Examples & Samples

Invent and develop computer vision technologies that create new opportunities, in addition to supporting existing 3M products and businesses
Lead and collaborate with research teams in corporate research and business labs on building capabilities and applications that use his/her scientific, mathematical, and computational skills
Collect and prepare real world data for computer vision, machine learning, data science, probabilistic inference, and/or computational statistics applications
Use a variety of programming languages to quickly develop proof of concept algorithms and optimize algorithms for commercialization
Publish and present knowledge within 3M and in top-tier journals and conferences
Advanced degree in a science or engineering discipline from an accredited university
Academic or working experience in any of the following: computer vision, machine learning, and/or data science technologies
MS/PhD in Computer Science, Electrical Engineering, Applied Mathematics, or Mathematics from an accredited university
1-5 years of computer vision and image processing experience in industry or national lab environment
Expertise in computer vision sub-disciplines such as: image understanding (object recognition/detection and feature engineering), 3D computer vision (acquisition, segmentation, registration, classification), embedded and real-time computer vision, video understanding (action recognition, scene summarization), deep learning, analysis and reduction of high-dimensional data
Programming languages: Python, MATLAB, C, C++, OpenCV, R
Ability to deal with the ambiguity of early-stage scouting and evaluation of new opportunities – flexibility to change direction as additional information becomes available
Leadership and networking skills

Research Scientist IV Computer Vision Resume Examples & Samples

Image- and video-based forensics using blur and noise as cues to tampering
Computational imaging for recognition problems (barcode scanning, biometrics, etc.)
Visual recognition of an object’s material and shape properties

Computer Vision Research Scientist Resume Examples & Samples

3+ years of experience in understanding and ability to implement algorithms in computer vision using both toolkits and self-developed code
At least 1 year of post-graduate experience in academic or industry environment
Experience working with large datasets and Deep Learning algorithms

Computer Vision Scientist Resume Examples & Samples

· Depth and breadth in state-of-the-art computer vision and machine learning technologies
· Proven track record of innovation in creating novel algorithms and advancing the state of the art
· Ability to develop practical solutions to complex problems
· Proficiency in C/C++, python, and/or matlab
· Experience with designing and building large-scale systems in a multi-tiered, distributed environment (Service Oriented Architecture)
· Understanding of Software Development Life Cycle (SDLC) and project planning/execution skills including estimating and scheduling
· Experience optimizing for short term execution while planning for long term technical capabilities. Ability and willingness to multi-task and learn new technologies quickly

Computer Vision Scientist Resume Examples & Samples

Post-Graduate degree in engineering, computer science, or mathematics, and/or 5+ years of related experience
Deep theoretical knowledge and hands-on experiences in computer vision, image processing and machine learning
Experience with OCR
Ability to rapidly prototype and evaluate algorithms in a data driven approach
Ability to develop practical solutions to complex problems
Strong skills with Python, C++, and Linux
PhD in computer vision, machine learning, or related discipline, with at least 2 years of industry experience
Experience in distributed computing platforms
Experience with deep-learning technologies or robotics

Applied Research Scientist, Computer Vision Resume Examples & Samples

Develop novel and accurate computer vision algorithms and systems, leveraging deep learning and machine learning on big data resources
Analyze and improve efficiency, scalability, and stability of various deployed systems
Collaborate with team members from the level of prototyping to the level of production
5+ years of experience in building, leading and specializing in large-scale commercial computer vision projects from the level of researching a prototype to the level of production
C/C++ rapid programming in an expert level on linux os
Experienced with training deep neural networks, prototyping in scripting languages like MATLAB, python, math performance libs (e.g. IPP, MKL), CPU optimization methods (e.g. assembly SIMD instructions)
Experience with developing on mobile/embedded platforms, e.g. Android NDK, armv7 NEON, is a plus
PhD/MS with relevant experience in Computer Science with published projects in the fields of machine learning, deep learning and/or computer vision

Research Scientist, Computer Vision Resume Examples & Samples

Develop new advanced technologies and scientific concepts to enable advanced general scene understanding in collaboration with other researchers and engineers
Graduating with a PhD, or completing a university postdoctoral assignment, by summer 2017
2+ year experience with statistical analysis of data and mathematical modeling
2+ years experience with developing machine learning, Bayesian filtering, information theory, 3D geometry, and physics based simulation
3+ years experience with system building in C++, including evaluation design
A documented history of increasing responsibilities and decision-making experience

Computer Vision Research Scientist Resume Examples & Samples

A PhD in computer vision
Broad knowledge of fundamentals and state-of-the-art in computer vision
Experience in publishing at major computer vision conferences (CVPR,ICCV,ECCV,BMVC,ACCV,...) or journals (IJCV,T-PAMI,CVIU)
3++ years of experience in Python
1++ year of industrial experience

Senior Deep Learning Scientist Computer Vision Resume Examples & Samples

Subject Matter Expert for Computer Vision domain
Hands on leadership, consulting and support for Computer Vision projects
Ability to evaluate and differentiate techniques, tools and approaches to Computer Vision problems
Staying up to date with latest Computer Vision research and applications to share internally
Mentoring Data Scientists and Data Engineers on Computer Vision problems
Provide consulting to Analytic Solutions team to build Computer Vision packaged solutions and offerings
Building computer vision solutions with tools such as Torch, TensorFlow, MXNet et al
Familiarity with Computer Vision libraries such as OpenCV
Knowledge of recent research in computer vision and applications
Creativity and curiosity for unique ways to solve complex customer problems
4+ years working in Computer Vision Research or Implementation

Machine Learning / Computer Vision Scientist Resume Examples & Samples

In collaboration with other colleagues, develop and implement advanced algorithms on PC, GPU and embedded systems (~95%)
Assist with customer interaction to demonstrate and deliver research results through written reports, briefings and participation in program reviews (~5%)
A small amount of travel (less than 5% time) is anticipated
A track record of research and development experience in one or more of the following domains is required: image/video analysis, signal processing, detection theory, 3D computer vision, machine learning, classification algorithms, and deep neural networks
Strong foundation in numerical techniques (FFT, Monte Carlo, finite elements, linear algebra, PDEs, ODEs, statistics, etc.) are required
Strong experience in algorithms/software development with C/C++ is required
Familiarity with MATLAB is required
Experience with other modern programming languages such as Python, Octave, Java, Lua, etc. is a plus
Familiarity with software development practices (revision control/complier tricks/debugger, etc.), under Windows/Linux/Unix is desired
Knowledge of computer architectures (GPU/FPGA/distributed computing), Unix/Linux and algorithm optimization is a plus
Excellent interpersonal and communication (presentation & writing) skills
Ability to work weekends and evenings when needed for workload

Computer Vision Scientist, Robotics Resume Examples & Samples

Develop 3D navigation techniques and feature based tracking, involving structure from motion, SLAM, and multiple view geometry
Develop state estimation algorithm with various sensors, including but not limited to camera, motion sensors, and optical tracker sensors
Development of software that enables algorithm evaluation
Work directly with system engineering team to review documentation, experiment results and analysis
Assist with other cross-functional projects depending on need and skillset
PhD in computer vision or scientific field with 5 years of experience
Master’s Degree computer vision or scientific field with 10 years of experience
Excellent written and verbal communication skills required: Must have a demonstrated ability to effectively and clearly communicate concepts, ideas and knowledge to other individuals and teams. Must be able to write clear reports, papers, proposals, etc, and efficiently discuss the same with other scientists, engineers, and customers
Must be a self-starter, and a fast learner, work efficiently both independently and as part of a team. Must have excellent problem solving skills and attention to details
Identify and initiate investigations of new technologies, prototype and test solutions for product features, and design and validate designs that deliver an exceptional user experience
Experience with standard imaging processing techniques such as image filtering, segmentation, and feature extraction
Experience with adapting algorithms for real-world data

Principal Computer Vision Scientist Resume Examples & Samples

Minimum 10 years of industry work experience
Ph.D. with specialization in Image Processing, Computer Vision, Artificial Intelligence, or Machine Learning
System Engineering and API based integration experience for large production system
Prior experience in deploying a Computer Vision based application with specific focus on feature and object detection for RGB and thermal imagery data
Hands on experience with Open Source Computer Vision Platforms and High Performance Computing Architectures
Advanced expertise in highly scalable Machine Learning Packages with specific extensions for Neural Engineering and Intelligent Learning

Principal Computer Vision Scientist Resume Examples & Samples

MS/PhD in Computer Science or equivalent with a focus on Computer Vision
Minimum of 10 years experience developing software with Java and/or C++ involving perception for commercial or industrial applications
Experience with Deep Learning in application
Experience designing highly scalable and large enterprise software solutions
Deep knowledge and experience with a wide variety of sensors
Strong experience with automated build and test and/or test driven development
Ability to resolve complex issues in creative, efficient, and effective ways
Provide the customer and company-wide perspective to detailed technical decisions
Excellent written (research papers) and oral communication skills
Experience with Robot Operating System (ROS)
Development of software interfacing to AWS services
Exposure to MySQL database, Python, and XML programming
Experience with source control, code reviews, and bug tracking systems
Understanding of networking protocols and technologies
Able to work on challenging assignments with aggressive schedules
Experience with automated build and test and/or test driven development
Solid understanding of and experience with Services Oriented Architecture (SOA)

Senior Scientist, Computer Vision Resume Examples & Samples

Research, design and prototype novel analytics algorithms and models by utilizing multiple sensors for visual inspection
Demonstrate expertise and deep working knowledge in statistical machine learning methods, deep neural networks and state-of-art tools (e.g. Theano/TensorFlow/Torch etc.)
Demonstrable research experience on computer vision tasks such as object classification and localization, action/activity recognition, scene understanding, object tracking and/or multimodal fusion
Demonstrate the potential to initiate, lead, and execute funding opportunities in both internal and external R&D
Keep abreast of the latest developments in the field by continuous learning and proactively champion new ideas and new problem definitions
Proficiency in C/C++, Python, and/or Matlab
Familiarity with deep learning tools including Theano, Torch, Caffe and/or TensorFlow
Excellent customer communication skills
Excellent customer-focused work ethic
Ability to effectively work with internal & external customers
Clear, concise writing skills
Ability to work effectively in fast-paced, team environment
Ability to work independently and work with limited direction to accomplish project goals

Senior Computer Vision Research Scientist Resume Examples & Samples

Collaborate with teams spread all over the world
PhD in Computer Science, Electrical Engineering, or related field
Experience in state-of-the-art computer vision and machine learning technologies
Experience investigating, designing, prototyping, and delivering new and innovative system solutionsLinux platform experience
Linux platform experience

Computer Vision Scientist Resume Examples & Samples

PhD in Computer Science with focus in Computer Vision
3+ years academic and/or industry applied research background
3+ years of experience in independently addressing issues ranging from fundamental algorithm design/development/optimization to driving product outcomes
Please provide any of your relevant publications in your field of expertise

Computer Vision Scientist Resume Examples & Samples

Bachelor’s Degree or higher in science or engineering discipline from an accredited Institution
Experience developing computer vision algorithms and applications
MS or PhD in Computer Science, Electrical Engineering, or Applied Mathematics from an accredited university
Experience commercializing medical device software systems in imaging and diagnostics
Expertise in computer vision sub-disciplines such as: image analysis (object recognition and feature detection), 3D computer vision (acquisition / 3D sensing, computational imaging, segmentation, registration), machine learning (feature extraction, classification, clustering), embedded and real-time computer vision, video understanding (action recognition, scene summarization), analysis and reduction of high-dimensional data
Experience with 3D sensor data (ToF, Stereo, Structured Light, Lidars)
Experience in dealing with real world data in one or more of the following areas: computer vision, machine learning, data science, probabilistic inference, and/or computational statistics
Experience with 3D visualization algorithms and computational approaches, e.g. meshing of point clouds, marching cubes algorithm variants, 3D geometry and texture rendering and shading
Experience with regulatory processes, quality systems and FDA requirements
Programming languages: MATLAB, C, C++, Python, C#, .NET
Demonstrated scientific excellence as evidenced by publications and presentations
Demonstrated problem solving and analysis skills, systems thinker, results driven, self-motivated, team skills, ability to work independently and with distributed teams