Computer Vision Scientist Resume Sample
Work Experience
- PhD required in computer vision, machine learning, or related discipline
- Depth and breadth in state-of-the-art computer vision and machine learning technologies
- MS in Computer Science or Electrical Engineering with a focus on Computer Vision
- High proficiency in C++
- Competence with computer vision libraries such as OpenCV, Matlab and PCL
- Hands-on experience with object detection, tracking, and optical flow
- Integrate embedded code with the larger Tesla Autopilot development team to introduce new features and capabilities to Tesla’s vehicles
- Vast experience solving analytical problems using quantitative approaches. Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
- Experience and high proficiency in C++
- Experience and high competency with computer vision libraries such as OpenCV, Matlab and PCL
- PhD and/or postdoctoral assignment in the field of Computer Vision, Computer Graphics, Robotics and/or Machine Learning
- Experience with C++
- Experience in computer vision and machine learning
- Competence with computer vision/machine learning libraries such as OpenCV, Matlab, or Torch
- Hands-on experience with articulated object (e.g. hand, body) tracking and reconstruction
- Practical knowledge of machine learning, numerical optimization, information theory, Bayesian filtering and 3D geometry
- PhD in Computer Science or Electrical Engineering with a focus on Robotics, Computer Vision, or Machine Learning
- Graduating with a PhD by December 2016, or completing a postdoctoral assignment
- Experience with C++
- Experience in computer vision, machine learning, or robotics
- Hands-on experience with object detection and tracking, SLAM
- Experience building systems integrating input from multiple sensor modalities
- Experience in Java, C++, or other programming language, as well as with R, MATLAB, Python or similar scripting language
- Strong coding skills in two or more programming languages such as Matlab, Python, C/C++
- C/C++ rapid programming on Linux OS
- Experience in implementing computer vision algorithms using both toolkits and self-developed code
Education
Professional Skills
- Excellent C/C++ coding, strong engineering practices, debugging/profiling skills, familiarity with multi-threaded programming
- Excellent organizational, interpersonal, communication (writing and public speaking) skills
- Strong coding skills in two or more programming languages such as Python, C/C++, etc
- Strong coding skills in two or more programming languages such as Python, C/C++, Java etc
- Strong hands-on experience with deep learning frameworks such TensorFlow, PyTorch, BLVC Caffe, Theano
- Communication skills for effective technical and personal team interactions
- Flexible and open attitude, great communication skills in English
How to write Computer Vision Scientist Resume
Computer Vision Scientist role is responsible for programming, languages, coding, modeling, java, research, training, integration, database, design.
To write great resume for computer vision scientist job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Computer Vision Scientist Resume
The section contact information is important in your computer vision scientist resume. The recruiter has to be able to contact you ASAP if they like to offer you the job. This is why you need to provide your:
- First and last name
- Telephone number
Work Experience in Your Computer Vision Scientist Resume
The section work experience is an essential part of your computer vision scientist resume. It’s the one thing the recruiter really cares about and pays the most attention to.
This section, however, is not just a list of your previous computer vision scientist responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular computer vision scientist position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Computer Vision Scientist resume experience can include:
- Resolving complex issues in creative, efficient, and effective ways
- Experience with data science tools including Python scripting, numpy, scipy, matplotlib, scikit-learn, jupyter notebooks, bash scripting, Linux environment
- Solid understanding of one or more of the following: signal processing, sensor fusion, structure from motion, numerical methods, optimization
- Experience with data science tools including Python scripting, numpy, scipy, matplotlib, jupyter notebooks, bash scripting, Linux environment
- Solid understanding of computer vision, machine learning, and deep learning algorithms and techniques is required
- Experience with at least one main stream deep learning frameworks, including TensorFlow, PyTorch, Caffe(2), MXNet
Education on a Computer Vision Scientist Resume
Make sure to make education a priority on your computer vision scientist resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your computer vision scientist experience. For example, if you have a Ph.D in Neuroscience and a Master's in the same sphere, just list your Ph.D. Besides the doctorate, Master’s degrees go next, followed by Bachelor’s and finally, Associate’s degree.
Additional details to include:
- School you graduated from
- Major/ minor
- Year of graduation
- Location of school
These are the four additional pieces of information you should mention when listing your education on your resume.
Professional Skills in Computer Vision Scientist Resume
When listing skills on your computer vision scientist resume, remember always to be honest about your level of ability. Include the Skills section after experience.
Present the most important skills in your resume, there's a list of typical computer vision scientist skills:
- Effective documentation practices and experience writing reports
- Parallel computing and analytics skills
- Minimal work experience of 24 months with evidence
- Interpersonal skills - cross-group and cross-culture collaboration
- Experience with commercialization of analytics driven information solutions / SaaS, including field experience working with customers and clients
- Communicate effectively with technical experts, business managers and customers
List of Typical Experience For a Computer Vision Scientist Resume
Experience For Computer Vision Data Scientist Resume
- Strong hands-on experience with Python (proficiency), C/C++ (proficiency), Shell Script, Matlab
- Solid understanding of linear algebra, multi-view geometry, numerical optimization
- Experience with sensors related to autonomous driving research such as camera, IMU/GPS, Lidar
- Experience contributing to scientific software development efforts to deliver computer vision pipelines, tools, and video/image data analyses
- Experience with computer vision or robotics libraries (e.g., OpenCV, PCL, ROS)
- Devise visualization, debugging, ground truth and simulation tools to enable algorithm validation
- Experience in publishing at major computer vision conferences (CVPR, ICCV, ECCV, BMVC, ACCV,...) or journals (IJCV, T-PAMI, CVIU)
Experience For Principal Computer Vision Scientist Resume
- Hands-on experience with GPU accelerated algorithms and implementations
- Hands-on experience with state-of-the-art models based on CNNs, RNNs, and LSTMs
- Expertise in Machine Learning Packages with specific extensions for Neural Engineering and Intelligent Learning
- Prototype hardware and software solutions for detecting, tracking, and modeling people
- Comfortable with fast prototyping in Python/C++/Java as well as contributing to production repositories
- Contribute to multiple areas of research, including but not limited to the following
- Deep diving on key development and architectural decisions
- Create computer vision algorithms to convert raw captures into an indexed database
Experience For Computer Vision Research Scientist Resume
- Develop strategies to optimize statistical efficiency and quality
- Lead efforts in developing and deploying machine learning, deep learning, computer vision, artificial intelligence algorithms for automated quantitative mouse behavioral phenotyping
- Analyze big data (video, behavioral, genomics, neurophysiology) of mouse phenotyping and produce quantitative data amenable for downstream hypothesis driven neurogenetic studies
- Leverage internal and public data that are high-volume, high-dimensional from varying sources to discover testable patterns, anomalies, relationships and trends
- Collaborate in the development of new tools and algorithms in machine learning and computer vision for disease phenotyping
- Make leading contributions to the neural network based machine learning, computer vision, and artificial intelligence initiative at The Jackson Laboratory
- Work closely with other computer scientists, biostatisticians, engineers, and neuroscientists for relevant software development and data analysis
- Thorough understanding of machine learning algorithms including neural network (CNN, RNN, region proposal networks, un/semi- supervised approaches), random forests, classifiers, feature representations, AI / Artificial Intelligence and/or related techniques
- Expertise in modeling temporal and sequential data, and multimodal data integration
Experience For Machine Learning & Computer Vision Scientist Resume
- Advanced expertise in languages such as Python, R, C++, or D
- Develop state-of-the-art algorithms in one or all of the following areas: deep learning (convolutional neural networks), object detection/classification, tracking, intrinsic/extrinsic camera calibration, visual odometry, structure from motion, multi-sensor fusion, etc
- Develop state-of-the-art algorithms in vision-based localization and mapping
- Optimize code to run efficiently on an embedded device
- Develop state-of-the-art algorithms in multi-sensor fusion, visual-inertial odometry, GPS, IMU and radar processing, intrinsic/extrinsic camera calibration, structure from motion, etc
- Foster relationship across universities and research institutions engaged in Computer Vision and Deep Learning technologies
- Up to date with industry best practices for production-grade machine learning systems
- Contribute to building new clinical datasets and data pipelines
Experience For Research Scientist, Computer Vision Resume
- Participate in integration of new ML/CV algorithms into existing and future robotic platforms
- Optimize algorithmic code to run efficiently on an embedded device
- Investigate and apply image analytics and deep learning approaches and tools for detecting automated and assisted analysis of various industrial datasets including RGB, multi-spectral imaging, radiographs, thermographs, and ultrasonic and sonar scans
- Collaborate with cross-functional teams across multiple offices and regions
- PhD in computer vision
- Develop prototypes of 3D recognition models that scale to large clinical datasets
- Develop prototypes of dense 3D reconstruction systems based on multi-view image sensors
- Experiment with several users and clinical advisors to iterate prototype designs based on feedback and performance
Experience For Senior Scientist, Computer Vision Resume
- Develop new technologies and digital products to improve surgeon and team performance on robotic surgery platforms
- Support academic collaborations in related fields
- Interested in early phases of product exploration and iteration based on incomplete requirements
- Self-starter and able to work in a collaborative and results-oriented environment
- Travel domestically and internationally (5-15%)
- Able to view live and recorded surgical procedures
Experience For Machine Learning / Computer Vision Scientist Resume
- Develop innovative concepts, theories, tools and techniques related to the analysis of video and still images
- Carry out innovative, impactful research of strategic importance to CSIRO
- Contribute to the development of innovative concepts and ideas for further research
- At least one refereed academic publications in these areas
- Fluency in a low-level language such as Java or C++
- · Ability to convey rigorous mathematical concepts and considerations to non-experts
Experience For Computer Vision Scientist, Robotics Resume
- Contribute as an individual practitioner as well as work in a team to achieve common goals
- Creativity in mathematical formulations and algorithms with the discipline and perseverance to create software solutions for products
- Rigorous in quantitative and qualitative evaluation of algorithms and software
- Experience in machine learning algorithms for vision problems including deep learning algorithms for image segmentation, object and motion detection, classification
- Comfortable with OpenCV and other computer vision libraries
Experience For Applied Research Scientist, Computer Vision Resume
- Knowledge of Linux systems in Ubuntu, CentOS
- Exceptional problem solver and communicator
- Familiarity with software design and scalable software architectures
- Knowledge of 3D computer vision and video analytics algorithms
- Experience in building, leading and specializing in commercial computer vision projects from the level of researching a prototype to the level of production
- Deep adversarial networks, image and video forensics
- Cross domain adaptation for rapid model transfer across domains
Experience For Senior Deep Learning Scientist Computer Vision Resume
- Use data analysis, intuition, and creativity to research and discover answers to key questions around understanding and augmentation of the physical environment for human interaction
- Deep graphical modeling
- Create software for product features and products in Mixed Reality
List of Typical Skills For a Computer Vision Scientist Resume
Skills For Computer Vision Data Scientist Resume
- Experience with building cross-modality or modality-agnostic deep learning systems including in 3D domain
- Experience with designing and building large-scale systems in a multi-tiered, distributed environment (Service Oriented Architecture)
- Experience using off the shelf tools in 3D Vision and Deep Learning
- Skilled with using scripting languages to manipulate large data-sets
- Some experience in participating in Open Source projects
- Test driven development experience and unit testing (Mock, nUnit)
- Experience in Deep Learning - CNNs
Skills For Principal Computer Vision Scientist Resume
- Experience in the use of collaborative developing tools such as: SVN, Jenkins, Redmine, and Visual Studio
- Good analytical and logical thinking capability
- Experience with developing on mobile/embedded platforms, e.g. Android NDK, armv7 NEON
- Experience in computer vision and machine learning
- MS with 5 years industry experience or PhD in Statistics, Mathematics, Computer Vision, Machine Learning, or a related technical field
- Business Intelligence environments experience
Skills For Computer Vision Research Scientist Resume
- Strong ability to analyze and synthesize
- Proactive attitude, good presence, resolutive, used to to work in a team and to manage deadlines
- Ph.D. in computer vision or M.S. with greater than 3 years’ experience in a core computer vision area
- Or M.S. with greater than 3 years’ experience in a core computer vision area
- Industry/Research experience as an individual contributor
- Experience programming in Python, especially the data science stack: numpy, scikit-learn, pandas, matplotlib
- Experience in at least one of the following frameworks is required: Keras, Tensorflow, PyTorch
- Experience with C++
- Create software prototypes to demonstrate the efficacy of algorithmic solutions and their usability for Mixed Reality applications
Skills For Machine Learning & Computer Vision Scientist Resume
- Understanding of neuroscience or genomic data analysis
- Transfer learning including zero shot learning, attribute learning, and knowledge graphs
- PhD in biomedical engineering, physics, electrical engineering, machine learning, artificial intelligence, image analysis, or similar
- Work with other vision scientists and engineers to deliver deployable technology while seeking creative ways to streamline processing and workload
- · PhD or Masters’ in Machine Learning, Data Mining, Statistics, Applied Mathematics, or a related field
- Explainability in computer vision and AI such as image and video captioning, and causal reasoning
- Provide rigor in establishing the quantitative and qualitative performance of Vision & Learning algorithms and software to meet or exceed user expectations
- Harness the growing volume of publicly available data sources, as well as work on establishing proprietary datasets in collaboration with our partners
Skills For Research Scientist, Computer Vision Resume
- Work closely with software engineering teams to drive scalable, production level coding
- Perform data exploration, statistical analysis, and modeling on how the world interacts with Getty Images
- Advanced knowledge in C# programming
- Read research papers on regular basis and keep up-to-date with state-of-the-art work in computer vision and machine learning
- Implement cutting-edge techniques and algorithms in computer vision
- Lead implementation and scaling of vision and estimation algorithms
- Apply supervised and unsupervised deep learning models to images and videos
- Ph.D. in computer vision or Machine learning
- Deep Learning expertise (MxNet, TensorFlow)
Skills For Senior Scientist, Computer Vision Resume
- Candidates with multi-disciplinary training (e.g., Computer Science + Neuroscience, Computer Science + Mathematics, etc.) are highly desired
- Research and create novel algorithms in Joint Understanding and Representation of 3D Geometry and Scene and Object Semantics for Mixed Reality applications
- Self-starting capabilities and an entrepreneurial mindset
- Preferably affinity with working in cross functional teams
- Produce high quality scientific and technical outputs including journal articles, conference papers and presentations, patents and technical reports
- Represent CSIRO at leading national and international conferences and forums
Skills For Machine Learning / Computer Vision Scientist Resume
- Drive novel eye-tracking algorithm development through analysis of large data sets
- Work with and develop state of the art visual models for image classification and recommendation
- Partner with product teams to understand customer needs and areas of opportunity
- Develop data products that make it easier for our customers to find and license the best imagery
- Present research and findings to senior management to help drive strategy
Skills For Computer Vision Scientist, Robotics Resume
- Agile methodologies development (SCRUM)
- Fluent in object-oriented software design
- Conduct applied research to solve real-world problems in video/audio space
- 3D cameras and image-based metrology
- Visual recognition of an object’s material and shape properties
- The Kumar Laboratory has core expertise in addiction genetics and comprises of six engineers, neurophysiologists, and geneticists
Skills For Applied Research Scientist, Computer Vision Resume
- A highly collaborative computational sciences group at JAX has 30+ PhD level software engineers and biostatisticians
- JAX information technology group hosts two high performance compute clusters, and 4 state of the art NVIDIA Tesla P100 nodes with systems administrators and HPC experts are on staff
- The JAX Courses and Conferences is available to all employees and offers intensive lectures and hands-on training from leading world experts on human health and disease
- Experience in Computer Vision algorithms implementation
- The Bar Harbor campus is nestled in the Acadia National Park, ideal for outdoor activities
- Languages and technologies: C++ and Python
- Keep a fluid communication written and oral
- Able to understand scientific papers and develop the idea in executable code
- Solve unique problems and work on a small, self-directed team
Skills For Senior Deep Learning Scientist Computer Vision Resume
- Build tools that have never been made before
- Work in a cool set of technologies such as robotics, image recognition, and video, with all the algorithms that come with it
- Directly influence the vision and objectives for your team's work in alignment with business and market needs
- Directly change what we do in Amazon products to delight our customers
- Experience Deep Learning tools such as TensorFlow, Caffe, Torch, or another neural network platform; Experience with Parallel/Grid computing; Experience programming in CUDA
- Experience in inverse modeling, contextual reasoning, and probabilistic inferencing