Please bookmark this page, we will update opportunities for internships or jobs.
Research Scientist – Deep Learning for Computer Vision & Image Analytics @ Siemens
In this role as a Research Scientist, you will:
- Research, design, and implement algorithms in Deep Learning for Computer Vision and Image Analytics.
- Contribute to research projects that develop a variety of algorithms and systems in computer vision, image and video analysis.
- Advance the state-of-the-art in the field, including generating patents and publications in top journals and conferences.
- Apply image and video analysis techniques such as deep learning to large-scale, real-world problems.
- Fast prototyping, feasibility studies, specification and implementation of image and video analysis product components.
- Working with customers to understand algorithm requirements and deliver high-quality solutions.
Qualified candidates will have:
- Ph.D. in Computer Science, Electrical Engineering, or related discipline required. Strong background in Deep Learning.
- Research Scientists will have a min of 3 years of Graduate research and internship experience in Computer Vision, Machine Learning and Image Understanding preferred. Staff Research Scientists will have a min of 6 years of experience in fields mentioned.
- Proven track record developing new research ideas as demonstrated by a strong publication record and early developments to the level of a working system prototype.
- Strong theoretical and practical background in computer vision, image and video analysis, specifically object detection, tracking and recognition, statistical modeling, statistical pattern recognition, machine learning, sparse methods, applied mathematics, optimization.
- Hands-on coding skills and ability to quickly prototype in C++ is a must. Further experience in Scripting languages such as Python is a plus.
- Practical experience and proficiency with Machine Learning modeling frameworks such as PyTorch, TensorFlow, etc.
- Strong understanding of data-efficient learning techniques
- Experience building analytics applications using Machine or Deep Learning for the deployment on edge devices.
- Experience with CAD models, and sensor generated data such as point cloud data.
- Experience in training algorithms with limited data, specifically semi-supervised/weakly supervised training techniques, experience with deep generative models
- Outstanding written and verbal communication skills in English are required.
- Excellent interpersonal skills and a can-do attitude.
- Ability to work independently and prioritize work.
- Strong collaboration skills and ability to thrive in a fast-paced environment.
- Flexibility and adaptability to work in a diverse and dynamic team.
- This position requires employees to be fully vaccinated against COVID-19 unless they are granted a medical or religious exemption
Research Engineer – Machine Vision & Augmented Reality @ Siemens
In this role as a Research Engineer, you will:
- Develop and apply Machine and Deep Learning approaches to real-world industrial problems.
- Contribute to the implementation of research projects and develop models/applications to be executed on various types of systems.
- Collaborate with Siemens business units to understand their problem requirements, create and deliver solutions to such problems.
- Support the acquisition of funds from Siemens business units as well as from public agencies.
- Maintain and enlarge network with US research institutes and start-ups for acquiring joint projects.
- Advance the state-of-the-art in the field, including generating patents and publications in top journals and conferences.
- Present and communicate project results and ideas to internal and external project partners or at conferences.
- Partner with colleagues to publish scientific papers, generate intellectual property, and apply for grants.
Qualified candidates will have:
- M.S. in Computer Science, Engineering, or related discipline.
- Minimum of 4 years of experience demonstrating strong understanding of fundamentals of machine learning and deep learning, along with knowledge of state-of-the-art solution approaches, successful demonstration of key responsibilities.
- Hands-on coding skills and ability to quickly prototype in Python is a must as well as deep experience in object-oriented languages such as C#.
- Practical experience and proficiency with Machine Learning modeling frameworks such as PyTorch, TensorFlow, etc.
- Strong understanding of data-efficient learning techniques
- Proven expertise with application development and deployment in RESTful Web Services.
- Knowledge of Augmented Reality application development in Unity for mobile devices such as HoloLens
- Outstanding written and verbal communication skills.
- Excellent interpersonal skills and a can-do attitude.
- Ability to work independently and prioritize work.
- Strong collaboration skills and ability to thrive in a fast-paced environment.
- Flexibility and adaptability to work in a diverse and dynamic team.
- Mix of technical curiosity and feel for business relevance
- This position requires employees to be fully vaccinated against COVID-19 unless they are granted a medical or religious exemption
Senior Low-Level GPU Computer Engineer @ Juice Labs
Juice Labs (founded January 2020) is doing something truly new. We’re making GPU access virtual, remote, easy, and much more efficient – both in the cloud and on-premise for businesses running graphics or compute workloads. Think of a client driver connecting any native application to a remote server, with the graphics/compute pipeline streaming between – and now imagine the possibilities!
We’re looking for great engineers who are passionate about the graphics/compute stack and love mastering the inner workings of modern operating systems. As an early engineer at Juice Labs, you’ll work with some of the world’s top graphics/compute pipeline engineers to design, build, test, fix, deploy, and iterate solutions that will (yes, really) revolutionize how the world uses GPUs.
Responsibilities
- Collaborate with visionaries to design and develop our core codebase to build an exceptional product at scale.
- Use graphics/compute APIs, compression libraries, caching strategies, networking libraries, low-level operating system hooks – and lots of creativity – to solve tough functional and performance problems that have never been solved before.
- Analyze, test, and debug specific use cases, and elegantly fold your solutions into the core product.
Minimum Qualifications
- 4+ years direct experience in graphics/compute pipeline engineering
- Working experience with Linux C/C++ application development
- Working experience with multiple graphics/compute APIs; e.g. Vulkan, CUDA, DirectX, OpenGL
Preferred Qualifications
- Deeper experience with Vulkan | CUDA
- Familiarity with LLVM
- Familiarity with state-of-the-art ML models and real-world ML implementations
Internship Positions at Honda Research Institute USA for the Fall/Winter 2021
How to Apply: send an e-mail to careers@honda-ri.com with the following:
– Subject line including the job number(s) you are applying for
– Recent CV
– A Cover Letter
– Topics you are interested in (Optional)
* Candidates must have the legal right to work in the U.S.A.
Machine Learning/AI
– Machine Learning for Novel Gas Sensors (Job Number: P20INT-26)
– Learning and Control Research (Job Number: P20INT-27)
– Path Planning and Lane Selection Research (Job Number: P20INT-45)
Human-Machine Interaction
– Human Factors for Next Generation Mobility Interfaces (Job Number: P20INT-28)
– Vision and Language Navigation (Job Number: P20INT-29)
– Interaction with next generation mobility (Job Number: P20INT-30)
– Human Behavior Modeling (Job Number: P20INT-35)
– Biomechanical Simulation of Human Movement (Job Number: P20INT-42)
– HMI Engineer (Job Number: P20INT-43)
Robotics
– Intention Estimation for Teleoperation (Job Number: P20INT-31)
– Visuotactile Perception and Deep RL for Contact-Rich Robotic Manipulation (Job Number: P20INT-32)
– Robotics Controls Software Engineer (Job Number: P20INT-44)
Computer Vision
– Domain Adaptation and Video Style Transfer (Job Number: P20INT-36)
– Visual Understanding of Traffic Scenes (Job Number: P20INT-37)
– Video Captioning in Traffic Scenes (Job Number: P20INT-38)
– Human Action Understanding (Job Number: P20INT-39)
– Multi-agent Relational Reasoning in Driving Scenarios (Job Number: P20INT-40)
– Human Pose Prediction (Job Number: P20INT-41)
Other
– Prototyping engineer (Job Number: P20INT-46)
Internship Positions at Rivian
Camera Image Quality Intern Fall 2021 College Intern – Please email elainejin@rivian.com.