Computer Vision Intern Jobs

* Experience with long term research projects.

* Efficient problem solving skills

* Some experience working in a team

* Some experience in industry (perhaps an internship)

Compensation includes competitive salary, full benefits, etc.

* People who like to hack

Defining requirements for custom silicon and communicating capabilities with partners in Hardware, Product, and UX.

MS or PhD degree in Computer Science, Computer Vision, Machine Learning, or related technical / work experience field.

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

Prototyping and engineering experience in at least one relevant specialization area in Computer Vision: SLAM, State estimation, and/or Sensor fusion.

2+ years of experience developing and designing Computer Vision technologies and systems.

2+ years of experience engineering in C++.

WHAT EDUCATION AND EXPERIENCE IS REQUIRED FOR THIS ROLE?

Document your work in a structured manner, with focus on knowledge sharing.

Help field technical questions from our customer support team as they help our users have the best experience possible.

Work with business team to help define user requirement details by providing input on feasibility and difficulty estimation.

10+ years of computer vision experience

Experience with Docker, Bash, Git

Completing or recently completed a Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or have equivalent research experience.

Excellent knowledge of theory and practice of computer vision methods, as well as deep learning.

Excellent programming skills in some rapid prototyping environment such as Python; C++ and parallel programming (e.g., CUDA) is a plus.

Knowledge of common machine learning frameworks, such as PyTorch.

Research, design and implement novel computer vision and deep learning methods.

Collaborate with other team members and teams.

Team players with high EQ, sincerity, and good communication skills are preferred.

Develop and train state-of-the-art deep learning models for classification problems in computer vision and image synthesis.

Propose and publish novel solutions to improve generative AI detection.

Collaborate with fellow scientists and engineers across the organization.

PhD degree in Computer Science with relevant publications.

Employer is a for-profit company focused on applied research and products centered around the detection of synthetic media.

Prior experience working on two or more of the following: autonomous vehicles, machine learning, and computer vision.

5+ years of relevant experience.

Outstanding communication and collaboration skills, as we work as a tightly knit team, always discussing and learning from each other.

Plan and implement perception software for NVIDIA Autonomous Vehicle products.

Design and implement software for NVIDIA Simulation products.

Design, execute, test, and maintain system tools for product development and product verification.

Experience with javascript and/or other programming skills

Management has the prerogative to select at any level for which the position is advertised.

Develop photo search capabilities for Gateway to Astronaut Photography of Earth website (eol.jsc.nasa.gov)

Proof of U.S. Citizenship or US Permanent Residency may be a requirement for this position.

Develop automated methods for html document generation use during International Space Station payload operations

Work with geospatial information and large datasets related to astronaut photography and associated metadata

1+ years experience in retail or customer service

Familiarity with point of sale system, computers & calculators with basic phone and math skills

Ability to sell through use of sales skills and accountability for sales results, with a desire to meet goals.

Strong communication skills (both oral and written)

Consistently deliver sales plan and company objectives through cultivating existing customer relationships and building new ones.

Utilizes optical prescription to recommend specific lenses and lens coatings.

Contribute to design of analytical components and technical execution of a project, and execute end-to-end analyses, including consolidation/packaging

Contribute to scientific publications and patents

Extensive hands-on coding and actively contribute to platform development

May supervise contractors and students

Proficiency with one or more programming languages such as Python or C++ is required.

Proficiency in one or more AI frameworks such as Pytorch or Tensorflow is required.

MBA degree with focus on strategic management is a big plus.

M.S./Ph.D. in an engineering or computer science related discipline (or equivalent experience).

Significant experience with multiple NVIDIA technologies (SDKs), preferably in computer vision.

Experience in conducting research in domains such as AI/ML, deep learning, image processing, image and video analytics.

Experience in working with industry, ideally experience working in industry in a role influencing researchers.

Excellent written and verbal communication skills in English.

Prior experience working on two or more of the following: autonomous vehicles, machine learning, and computer vision.

5+ years of relevant experience.

Outstanding communication and collaboration skills, as we work as a tightly knit team, always discussing and learning from each other.

Plan and implement perception software for NVIDIA Autonomous Vehicle products.

Design and implement software for NVIDIA Simulation products.

Design, execute, test, and maintain system tools for product development and product verification.

Defining requirements for custom silicon and communicating capabilities with partners in Hardware, Product, and UX.

MS or PhD degree in Computer Science, Computer Vision, Machine Learning, or related technical / work experience field.

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

Prototyping and engineering experience in at least one relevant specialization area in Computer Vision: SLAM, State estimation, and/or Sensor fusion.

2+ years of experience developing and designing Computer Vision technologies and systems.

2+ years of experience engineering in C++.

Tackle problems on the boundary of software, hardware, and the real world.

Develop algorithms and design highly scalable software solutions for real world problems using computer vision and machine learning.

Work with top-flight software and hardware engineering talent from places like Google, Amazon, Nvidia, Palantir, and NASA JPL.

Own entire projects while working alongside cross-functional teams of doctors, designers, and operators.

Your work will directly contribute to saving and improving people’s lives. For real. :)

Manage deployment operations, including ML model training and data operations.

Cultivate strong relationships with customers, understanding their unique needs and ensuring that our products align with those requirements.

Track customer success metrics, analyze reports, and utilize insights to enhance the overall customer experience.

Possess a Bachelor's Degree in a relevant field or equivalent experience.

Have at least 3 years of experience in a similar customer success, technical support, or consulting role.

Demonstrated experience with Computer Vision and Machine Learning technologies.

Deep domain knowledge in a specific LLM or computer vision technique / area of research.

Are excited at the idea of democratizing state-of-the-art research for all companies and products

Want to push the envelope of what’s possible and aren’t afraid of working on greenfield projects that improve upon the state-of-the-art.

Wish to work on a fast-paced team of ML Ph.D.’s and builders

Are motivated to work at arapidly expanding startupand see your impact on end customers in the timeframe of weeks not years.

Own an FL vertical with a specific domain and optimization focus (e.g. personalization, privacy, efficiency, explainability, or fairness).

Develop capabilities for scalable geospatial analytics [Link]

Use remotely sensed imagery to identify and monitor the progression of wildfires [Link]

BS/BA and 5+ years of relevant work experience -OR-

MS/MA and 3+ years of relevant work experience -OR-

PhD with 1+ year of relevant experience

Experience applying machine learning and artificial intelligence to computer vision. Additional domain application is preferred – geospatial intelligence, few-shot/zero-shot learning.

Develop capabilities for scalable geospatial analytics [Link]

Use remotely sensed imagery to identify and monitor the progression of wildfires [Link]

BS/BA and 2 years of relevant experience -OR-

Experience applying machine learning and artificial intelligence to computer vision. Additional domain application is preferred – geospatial intelligence, few-shot/zero-shot learning.

Experience developing, training, and testing machine learning models in frameworks like PyTorch

3+ years of experience with computer vision in academia or industry

2+ years of professional experience with Python.

Hands-on professional experience working with computer vision, imaging detection software, autonomous vehicles or geospatial technology.

Strong SQL experience is a must

Experience with big data technologies such as Spark (or PySpark)

Experience working with Azure (Databricks, Data Factory).

Experience with Machine Learning / AI deployments

Strong experience writing production-level Python and software engineering best practices.

An “under the hood” knowledge of deep learning: layer details, loss functions, optimization, etc.

Experience with PyTorch, or at least another major deep learning framework such as TensorFlow.

Experience in GPU programming (e.g., CUDA, OpenCL, OpenGL) or GPU-accelerated libraries.

Family-building, fertility, adoption and surrogacy benefits

401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits

5+ years of software product management experience.

Strategize with product management and stakeholders to define overall program strategy and roadmaps

Fiscal responsibility, business case assumptions, and P/L management

Outstanding organizational skills, especially the ability to manage multiple concurrent priorities being executed by multiple teams.

Your day to day responsibilities will be leading your scrum teams to drive product vision, roadmap and development schedules

You will develop feature acceptance criteria to ensure product quality and to deliver the best experience possible for our customers