Job Board

Job Description

We are looking for an outgoing individual with an engineering background to join us as a Sales Engineer. In this role, you will work hand-in-hand with technical Sales teams as a machine learning subject matter expert to differentiate SuperAnnotate’s to our customers. You will help prospective customers and partners understand the power of SuperAnnotate, explaining technical features, helping customers design custom workflows and pipelines, as well as provide custom scripts necessary for the pipeline.

Responsibilities

- Work with our sales team in the US and Sweden to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.

- Provide in-depth machine learning expertise to support the technical relationship with SuperAnnotate’s customers, including product and solution briefings and proof-of-concept work. Partner directly with product management to prioritize solutions impacting customer adoption to SuperAnnotate.

- Work hands-on with customers around the world to demonstrate and prototype SuperAnnotate’s product integrations in customer/partner environments.

- Recommend integration strategies, enterprise architectures, and application infrastructure required to successfully implement a complete solution using best practices on SuperAnnotate.

Qualifications

- Bachelor's degree in Computer Science, Mathematics, Machine Learning, or equivalent experience.
- 1+ years of experience building computer vision and deep learning solutions (e.g., network architectures, convolutional networks, etc.).
- Experience with computer vision, machine learning, and numerical programming frameworks (e.g., OpenCV, TensorFlow, Python, R).
- Experience delivering technical pitches.
- 1+ years of experience as a technical sales engineer in a tech environment or in a customer-facing role within a Professional Services/Systems Engineering team.

About the role

Dyson seeks applicants who have first-hand experience of applied robotics and a portfolio of robotics projects. We seek people with initiative, creativity, and the ability to learn fast, along with a cross-section of skills that will make a contribution to the company.

As a growing team working at the forefront of robotics research, candidates for all job openings are expected to:

Accountabilities

About you

What you must have:

Desirable

Role:
Research and development
Algorithm development of Level 4 environment perception
Implementation, validation optimization and porting of algorithms
Contribution towards active research in autonomous driving perception

Experience: 2-5 years

Minimum Education:
Bachelor’s in electrical or computer engineering or any other related stream

Preferred:
Master’s in electrical or computer engineering or any other related stream

Technical skills:
Excellent knowledge of Mathematics, probability and statistics and signal processing
Knowledge of Machine learning, Neural networks and Image or audio/speech processing
Knowledge of programming languages like C, C++, or Python

We are looking for an experienced software engineer with exposure to ML, equipped with sophisticated software engineering skills and ability to scale workloads to petabyte scale on 1000s machines on the cloud.

Requirements
[Preferred] Have strong programming skills - Python stack, Flask/Django/FastAPI, C++/Go
[Preferred] Think about distributed systems - edge cases, failure modes, behaviors, specific implementations.
Experience with cloud systems (AWS/GCP/Azure) including knowledge of Docker, Kubernetes, CircleCI, config management systems like Chef, code-as-infrastructure like Terraform/Cloud Formation
Ability to pick the best tool for the job and integrate an array of technologies into a reliable High Performance Computing solution.
Fluency in using Git and GitHub. Familiarity with open source.
Understanding of Distributed systems, Data Streaming and Storage/File systems (Object Store, NFS)
We also expect you to:
To join a highly motivated, curious, hardworking explorers in the field of AI
Have a builder attitude - you love building cool things that matter!
Work closely with the founding team in developing hyper-scalable software for ML.
Proactively identify and anticipate problems and provide tangible solutions.
Enjoy the startup journey towards building endurable, scalable business.
About Activeloop
Today delivering valuable insights from unstructured data is difficult. It takes on average an entire month to take a model from research to production. Data scientists and engineers spend a lot of time on managing data. An overwhelming number of tools in use leads to lack of uniformity and repeatability. There is no industry standard for storing unstructured datasets. This leads to heavily manual systems that require constant data wrangling.

Activeloop, an autodata company. We connect raw data to machine learning models, seamlessly. We empower data scientists to focus on training ML models, instead of messing with the data. We enable organizations to unlock the true potential of the unstructured data, faster and cheaper.

The company is founded by PhDs from Princeton University and backed by Y Combinator and other prominent investors from Silicon Valley.

We are looking for an experienced ML engineer equipped with sophisticated software engineering skills and a proven track record in leading open-source software.

We expect you to have:
3-5 years of Machine Learning/Deep Learning/HPC/Distributed Computing experience, with a working knowledge of and a passion for NumPy, PyTorch and Tensorflow including strong programming skills in Python and C++.
Fluency in using Git and GitHub, and a track recording effectively contributing to open source projects.
The ability to pick the best tool for the job and integrate an array of technologies into a reliable High Performance Computing solution.
Experience with cloud services and/or running machine learning models in production including knowledge of Docker, Kubernetes, CircleCI.
We expect you to:
To join a highly motivated, curious, hardworking explorers in the field of AI
Have a builder attitude - you love building cool things that matter!
Proven track record of executing projects against tight deadlines.
Work closely with the founding team in developing hyper-scalable software for ML.
Proactively identify and anticipate problems and provide tangible solutions.
Enjoy the startup journey towards building endurable, scalable business.
About Activeloop
Today delivering valuable insights from unstructured data is difficult. It takes on average an entire month to take a model from research to production. Data scientists and engineers spend a lot of time on managing data. An overwhelming number of tools in use leads to lack of uniformity and repeatability. There is no industry standard for storing unstructured datasets. This leads to heavily manual systems that require constant data wrangling.

Activeloop, an autodata company. We connect raw data to machine learning models, seamlessly. We empower data scientists to focus on training ML models, instead of messing with the data. We enable organizations to unlock the true potential of the unstructured data, faster and cheaper.

The company is founded by PhDs from Princeton University and backed by Y Combinator and other prominent investors from Silicon Valley.

Samsara is the pioneer of the Connected Operations Cloud, which allows businesses that depend on physical operations to harness IoT (Internet of Things) data to develop actionable business insights and improve their operations. Samsara operates in North America and Europe and serves more than 20,000 customers across a wide range of industries including transportation, wholesale and retail trade, construction, field services, logistics, utilities and energy, government, healthcare and education, manufacturing and food and beverage.

Our team has raised $930M from Andreessen Horowitz, General Catalyst, Tiger Global, Dragoneer, AllianceBernstein Holding LP, Franklin Templeton, General Atlantic, Sands Capital Management and Warburg Pincus LLC.

At Samsara, we welcome all. All sizes, colors, cultures, sexes, beliefs, religions, ages, people. We depend on the unique approaches of our team members to help us solve complex problems. We are committed to increasing diversity across our team and ensuring that Samsara is a place where people from all backgrounds can make an impact.

The Senior Data Scientist will be a senior technical contributor to the team with deep expertise in analyzing large volumes of complex data, building models to help answer pressing business questions or address customer needs, and communicating their findings to both technical and non-technical audiences. The Senior Data Scientist will work closely with technical and business leadership across Samsara, translate customer problems into concrete quantitative analysis, and iterate on the output with stakeholders.

Examples of day-to-day responsibilities:
-Leveraging SQL or Python to shape and structure large, complex data sets for analysis
-Building statistical and machine learning models to identify patterns, anomalies, and root causes (e.g., analyzing sensor temperatures to spot unhealthy devices)
-Meeting with technical and non-technical stakeholders to understand data structures and determine business priorities
Working with product and full-stack engineering teams to build data-powered features in our cloud dashboard
-Creating data visualizations and other summary output to support decision-making from operational and leadership teams

Requirements:
-BA / MS / PhD or equivalent coursework in engineering or quantitative discipline (e.g., Statistics, Mathematics, Computer Science, Economics, etc.)
-Experience with data manipulation and processing, preferably in SQL or Python on very large datasets (e.g., using PySpark)
-Experience building statistical / machine learning models, preferably in Python (e.g., using Tensorflow, etc.)
-Familiarity managing data science code via GitHub or other code versioning tool
-Knowledge of software engineering fundamentals; high level of comfort reading and understanding full-stack / backend development code (e.g., our Go code base)
-Experience with data visualization using Python libraries or BI tools (e.g., Tableau)
-4+ years experience as a data scientist, data engineer, or related role
-Preferred: Experience deploying and optimizing machine learning models for very large datasets (1B+ rows)

About the team:
Come help us build the Machine Learning and Computer Vision team at Samsara! The ML / CV team is responsible for building and deploying the machine learning models that power our computer vision features, including distracted driving detection, time-to-collision estimation, lane departure warning, and more. Using a combination of proprietary Samsara data (1.6T+ sensor data points collected annually) and open source source data sets / models, join the team developing powerful ML features in both our cloud platform and on-the-edge to improve the efficiency, safety, and sustainability of our customers’ operations.

About the role:
The Senior Machine Learning Engineer will be a core technical contributor on the ML / CV team with deep expertise in building and deploying scalable machine learning. The Senior ML Engineer will work closely with full-stack, firmware, and infrastructure / platform teams to build and deploy powerful computer vision features for our customers.

Examples of day-to-day responsibilities:
-Building and improving the accuracy of ML / CV models, including retraining and optimizing open-source models to solve Samsara-specific problems
-Shaping Samsara’s big data into features for ML / CV models (e.g., using image data from our dashcams to build models supporting advanced safety features)
-Building the backend or edge infrastructure to scale our training and inference workload, including training pipelines, evaluation, and model deployment
-Championing, role modeling, and embedding Samsara’s cultural principles

Requirements:
-4+ years experience as a Data Scientist, Machine Learning Engineer, or similar role
-Strong proficiency in common languages (e.g., Python, SQL) and tools (e.g., TensorFlow, PyTorch, distributed training / inference with Spark) in the ML toolkit
-Experience building and deploying large-scale machine learning models with feedback loops for continuous improvement
-Experience building performant, distributed training and inference pipelines on very large datasets
-Comfortable with full-stack / backend development code to build a strong understanding of underlying data structures and other dependencies (For reference: We use Golang for our backend, Typescript and React for our web client, GraphQL to fetch data from our backend, and React Native for our mobile app)
-Preferred: Experience building, deploying, and optimizing ML models on the edge
-Preferred: Experience building computer vision features
-Preferred: MS / PhD in engineering or quantitative discipline (e.g., Statistics, Mathematics, Computer Science, Economics, etc.)
Benefits

Working at Samsara has its perks: for all full-time global employees, we provide private medical and dental insurance plus growth and development opportunities, as well as regular virtual team and company events. In the US we offer flexible vacation time, EMEA employees receive 25 vacation days plus national bank holidays. Post-COVID we’ll be back in our global offices with numerous in-office perks.

Who We Are:
Samsara is the pioneer of the Connected Operations Cloud, which allows businesses that depend on physical operations to harness IoT (Internet of Things) data to develop actionable business insights and improve their operations. Samsara operates in North America and Europe and serves more than 20,000 customers across a wide range of industries including transportation, wholesale and retail trade, construction, field services, logistics, utilities and energy, government, healthcare and education, manufacturing and food and beverage.

Our team has raised $930M from Andreessen Horowitz, General Catalyst, Tiger Global, Dragoneer, AllianceBernstein Holding LP, Franklin Templeton, General Atlantic, Sands Capital Management and Warburg Pincus LLC.

At Samsara, we welcome all. All sizes, colors, cultures, sexes, beliefs, religions, ages, people. We depend on the unique approaches of our team members to help us solve complex problems. We are committed to increasing diversity across our team and ensuring that Samsara is a place where people from all backgrounds can make an impact.

About the team:
Come help us build the Machine Learning and Computer Vision team at Samsara! The ML / CV team is responsible for building and deploying the machine learning models that power our computer vision features, including distracted driving detection, time-to-collision estimation, lane departure warning, and more. Using a combination of proprietary Samsara data (1.6T+ sensor data points collected annually) and open source source data sets / models, join the team developing powerful ML features in both our cloud platform and on-the-edge to improve the efficiency, safety, and sustainability of our customers’ operations.

About the role:
The Staff Machine Learning Engineer will be a core technical contributor and technical leader on the ML / CV team with deep expertise in building and deploying scalable machine learning. The Staff ML Engineer will work closely with full-stack, firmware, and infrastructure / platform teams to build and deploy powerful computer vision features for our customers.

This role can be office-based or fully remote in the US and Canada.

In this role, you will:
-Build and improve the accuracy of ML / CV models, including retraining and optimizing open-source models to solve Samsara-specific problems
-Shape Samsara’s big data into features for ML / CV models (e.g., using image data from our dashcams to build models supporting advanced safety features)
-Build the backend or edge infrastructure to scale our training and inference workload, including training pipelines, evaluation, and model deployment
-Champion, role model, and embed Samsara’s cultural principles

Minimum requirements for this role:
-6+ years experience as a Data Scientist, Machine Learning Engineer, or similar role
-Strong proficiency in common languages (e.g., Python, SQL) and tools (e.g., TensorFlow, PyTorch, distributed training / inference with Spark) in the ML toolkit
-Experience building and deploying large-scale machine learning models with feedback loops for continuous improvement
-Experience building performant, distributed training and inference pipelines on very large datasets
-Comfortable with full-stack / backend development code to build a strong understanding of underlying data structures and other dependencies (For reference: We use Golang for our backend, Typescript and React for our web client, GraphQL to fetch data from our backend, and React Native for our mobile app)

-Preferred: Experience building, deploying, and optimizing ML models on the edge
-Preferred: Experience building computer vision features
-Preferred: MS / PhD in engineering or quantitative discipline (e.g., Statistics, Mathematics, Computer Science, Economics, etc.)
Benefits

Working at Samsara has its perks: for all full-time global employees, we provide private medical and dental insurance plus growth and development opportunities, as well as regular virtual team and company events. In the US we offer flexible vacation time, EMEA employees receive 25 vacation days plus national bank holidays. Post-COVID we’ll be back in our global offices with numerous in-office perks.

1.Design and build algorithms in the fields of spoken language understanding, intent recognition, dialogue models, chatbot, deep learning and reinforced learning.
2.R&D on speech recognition/synthesis, including front-end processing, acoustic modeling, decoding, text to speech synthesis.
3.Build a knowledge graph that powers our dialogue system and intelligent question answering system.
4.Conduct research to advance the state of the art in speech recognition/synthesis and create technical solutions at scale to real world challenges in various application scenarios.

1.Research, design, implement, and optimize machine learning/deep learning algorithms/models to develop computer vision technologies.
2.Research to advance the state of art in the following fields: image detection, image classification, image segmentation, image tracking, video semantic analysis, face recognition and analysis, vehicle and personnel detection and tracking, image / video search, page analysis and automatic synthesis, OCR algorithms and system development.
3.Help build deep learning/machine learning platforms and create technical solutions at scale to real world challenges in various application scenarios.

1.Research, design, implement, and optimize machine learning/deep learning algorithms/models to develop computer vision technologies.
2.Research to advance the state of art in the following fields: image detection, image classification, image segmentation, image tracking, video semantic analysis, face recognition and analysis, vehicle and personnel detection and tracking, image / video search, page analysis and automatic synthesis, OCR algorithms and system development.
3.Help build deep learning/machine learning platforms and create technical solutions at scale to real world challenges in various application scenarios.

1.Design and build NLP algorithms for semantic analysis, intent recognition, chatbot, machine translation, knowledge graph, named-entity recognition.
2.Conduct research to advance the state of the art in NLP and create technical solutions at scale to real world challenges in various application scenarios.
3.Design and build NLP algorithms for semantic analysis, intent recognition, chatbot, machine translation, knowledge graph, named-entity recognition.

1.Mine massive data from Tencent’s social network and products to gain insights and identify patterns using machine learning techniques and complex network analysis methods.
2.Design and implement ML algorithms and models (especially deep learning models) through in-depth research and experiment with neural network models, parameter optimization, optimization algorithms.
3.Work to accelerate the distributed implementation of existed algorithms and models and enrich the parallel algorithms library.
4.Conduct research to advance the state of the art in deep learning and create technical solutions at scale to real world challenges in various application scenarios.
5.Apply machine learning algorithms/models to research on computer vision, natural language processing and recommender systems that power Tencent’s products.

The Central Media Technology Institute of the Laboratory in 2012 is Huawei's media technology innovation and engineering capability center, responsible for the technical competitiveness of products in the media field. Faced with the challenges and opportunities of customers, industry and company's future business, it will continue to focus on technological research, innovation and breakthroughs in the media field (photography, audio, video, AR&VR, codec standards etc.) to ensure that the company's core competitiveness of media products continues to lead and support the company's long-term business success.

The Central Media Technology Institute has set up R&D centers and professional laboratories in seven overseas countries such as Japan, North America and Europe, as well as domestic R&D centers in Shenzhen, Hangzhou, Beijing, Shanghai, Xi'an, etc. In the field of mobile phone photography, audio, video, AR&VR, codec standards and other technology, Huawei is in the leading position in the industry, supporting Huawei to become the leader of mobile devices and ICT industry.

Our vision is to bring digital to every person, home and organization for a fully connected intelligent world. The recruitment of the Central Media Technology Institute involve mobile phone photography, audio, video, AR&VR and other media fields. We are gathering the world-recognized researchers, pioneers and explorers in the field from the top-tier academic and industrial organizations.

Ideally you are currently in a pioneer scientist / technologist leadership position within industrial or academia research and development organisation, you are a passionate scientist / technologist in the area of image / video generation and edition technologies and have a track record of delivering next image / video edition. You have demonstrated ability to envision the future and have the technical leadership skills to drive concept through to product roadmap impact. You have good contribution of technology partnerships with industrial and academic community.

Your Responsibilities:
- Responsible for the construction of technological competitiveness in the field of image / video generation and edition in Huawei, building the key selling points and technological breakpoints, enabling ordinary consumers to create masterpieces and support the great business success of products;
-
- KPI: Assessment of key indicators
- 1,Responsible for the generation and edition technology scheme;
- 2,Create Huawei generation and edition technology to support great business success of products including terminals and clouds.

Work experience & Professional profile
- Eight years+ relevant working experience in the media field. Systematic understanding of image / video generation and edition technology in the industry.
- Experience in product development, familiarity with industry resources, innovative thinking, and ability to grasp the direction of technology and business development trend.

Key technical skillset:
- 1, Have a profound background and knowledge in both fields of image / video generation and edition;
- 2, Familiar with computer vision and image graphic to make the generated images or videos reality;
- 3, With the software architecture and algorithm has good foundation;
- 4, Propose creative ideas of related technology development and clear direction to monetize the business.

Education and soft skills:
- M.Sc.(Eng.) or Ph.D. degree in Computer Science or related field.
- Fluency in English (written and spoken).
- Excellent intercultural communication and coordination skills.
- Excellent leadership and influencing skills.

Sony Corporation of America currently has an opening for a Senior Research Engineer in our U.S. Research Center located in San Jose, CA. This position is responsible for researching and developing image processing, machine learning, and computer vision algorithms for new Sony products.

Responsibilities will include investigating and utilizing complex engineering and mathematical principles to develop core technologies, compose algorithm structures and find solutions to problems. This will include assessment and improvement of algorithm performance on a variety of platforms. This position also requires the engineer to analyze and determine system standards and test procedures. As a Senior Research Engineer this individual will be responsible for writing invention disclosures for developed algorithms and will work with patent attorneys to secure intellectual property.

This individual will work on problems of diverse scope where analysis of data requires evaluation of identifiable factors and demonstrate good judgment in selecting methods and techniques for obtaining solutions.

Qualifications

• PhD degree (or MS degree with a minimum of 3 years of related experience) in Electrical Engineering, or Computer Engineering, or Computer Science, or Applied Mathematics or related field, is required.
• Knowledge and experience in deep learning and computer vision, are required
• Previous research work in related areas such as digital image processing (specifically in camera signal processing), content-based video/image analysis, image restoration, and knowledge of human visual system are highly preferred
• Excellent programming skills in C/C++, and Python are required
• Knowledge of machine learning libraries such as TensorFlow, PyTorch is essential
• Excellent communication and presentation skills are required
• Linux experience is a plus

Responsibilities

• Research and assess current technologies
• Perform feasibility studies to validate capability and functionality
• Create new concepts from initial design to market release
• Document all phases of research and development.
• Draft and submit intellectual property.
• Draft and submit professional articles for technical journals as required
• Offer advanced technical expertise to design and develop algorithms and software applications
• Create new technical and domain expertise and apply to products and problems
• Manage and maintain current algorithms and software applications
• Assess and write code to improve or extend algorithms and software applications
• Determine and resolve complex application issues and bugs

Remote work can be considered after extensive period of on-site training and may require monthly business trips to the main office.

Job Responsibilities for PhD in Visual Institute of CVTE Research:

* Responsible for research work related to Medical Image Analysis [lesion detection, segmentation and evaluation, etc.]

* Responsible for research work related to video enhancement and translation [image segmentation, super-resolution reconstruction, denoising/deblurring, virtual portrait 3D reconstruction & expression migration, image style migration, etc.]

* Responsible for research work related to the visual interaction scheme of wearable devices [image detection, tracking, recognition, 3D reconstruction, gesture recognition, etc.]

* Responsible for research work related to mobile carrier vision solutions [image processing, behavior recognition, incremental learning, semi-supervised/unsupervised learning, etc.]

* Responsible for leading the algorithm engineer team to optimize the speed and performance of the algorithm according to the application scenario [scheme selection, model acceleration, accuracy improvement, hardware acceleration, etc.]

HRI-US is hiring multiple interns who will focus on developing computer vision and machine learning algorithms for analysis, prediction, and understanding of human behavior in various environments. You are expected to work on:

- Relational reasoning and social interaction modeling
- Trajectory prediction
- Activity forecasting
- Human pose prediction
- Causal Inference
- Uncertainty estimation and quantification

Qualifications:
- Strong research experience in computer vision, machine learning, robotics
- Hands-on experience in one or more of the following: graph neural networks, probabilistic neural networks, deep generative models (GAN/VAE), reinforcement learning
- Publications in top-tier conferences (CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR, etc.)

This is an opportunity to drive Dyson's ambitious robotics research programme forward by planning, designing, and developing cutting-edge machine-learning algorithms to solve problems in real-world robotics. The role involves the research and development of systems for Dyson’s future autonomous and intelligent products.

You will be working in a highly multidisciplinary team covering topics including Computer Vision, Machine Learning, Robot Control, Mechatronics and Electronics, Human-Robot Interaction: all with the backdrop of a friendly and multi-cultural work environment.

At Dyson, we have been developing robot technology for over 20 years – 200 engineers, 420 patents and £28m has already gone into our first robot vacuum. But this is just the start of the domestic robotics revolution. The team is advancing the systems that make our robots more intelligent, adaptable, and physically capable.

Dyson seeks applicants who have first-hand experience of applied machine learning for visual perception. We seek people with initiative, creativity, and the ability to learn fast, along with a cross-section of skills that will contribute to the company.

To apply, please use the `More info` link below.

Responsibility:
1. Lead the image processing algorithm development for all media products widely.
2. Design, develop and implement machine learning algorithm and hardware especially based on Deep Neural Network for
• Generative images or videos
• Image or video editing
• Image recognition, understanding
3. Design and develop an advanced image processing and computer vision system for mobile and/or wearable devices.
4. Investigate and analyse innovative technologies.
5. May participate in development of intellectual property.
6. May coordinate inter-departmental activities and researches.
Requirement:
1. BS/MS/PhD degree in Computer Science, Electronic Engineering, or similar majors.
2. Professional experience in modelling/training/deploying deep neural network (DNN). Highly valued is experience in developing DNN for use in image processing on mobile devices. Experience in projects that employ Caffe and/or Tensorflow and/or Pytorch.
3. Work experience in developing on either of the following topics: ISP (Image Signal Processor), image and/or video generation, image and/or video edition, image or video super-resolution, head and/or body motion capturing, head and/or body driving, neural rendering, Camera DSP SDK, display system architecture and algorithms, image quality improvement, DTV, Display Driver IC. Highly valued is experience in mobile device development.
4. Advanced programming skills in C/C++, Python, and Matlab. Optional: LSI design experience (Verilog or RTL).
5. Industry background:
I. Work experience in developing cameras and/or digital media products.
II. Leading role in image processing, photography, computer vision projects.
III. Leading role in display image enhancement system design, display image processing projects.
6. Additional skills required
I. Fluent English (written & verbal) are required, Japanese and Chinese is a strong plus.
II. Excellent interpersonal, written, and oral communication skills.
III. Short-term stay in China based on request.

The Postdoctoral Research Associate will contribute to a range of research activities focused on deep learning for image/video processing and computer vision. In this role you will conduct high-quality research, publish research works in top tier conferences and journals and assist with the supervision of current PhD students.

For more information, please visit https://jobsearch.gov.au/job/view/details/2293522564?context=b47ad61d-a…

Closing time: 21 June 2021

We are seeking to fill multiple pre- and one post-doctoral positions at the earliest possible date. You will join a multi-disciplinary team to contribute towards our long-term goal of advancing endoscopic sinus procedures by personalizing stratification, guiding and monitoring treatment, and rethinking instrumentation to improve patient outcomes. To this end, we perform synergistic research at the intersection of computer vision, machine learning and data science, robotics, and human-computer interaction to develop collaborative intelligent systems that accomplish those goals.
This research is based in the Malone Center for Engineering in Healthcare (MCEH) and the Laboratory for Computational Sensing and Robotics (LCSR) at Johns Hopkins University. Depending on the position, you will be advised by a combination of Drs. Gregory Hager, Russell Taylor, and Mathias Unberath in the Department of Computer Science, and you will collaborate closely with Dr. Masaru Ishii in the Department of Otolaryngology – Head and Neck Surgery.

The Remote Sensing Image Analysis Group of TU Berlin is seeking a highly motivated Postdoctoral Researcher with a strong record of accomplishment in machine learning and computer vision. Successful candidate will conduct research and develop advanced deep learning based algorithms for satellite image search/retrieval from large-scale data archives and semantic scene understanding. This will entail the development of novel deep learning models that can address the problems on incomplete, noisy and imbalanced training sets for scalable image search, retrieval and classification. This research activity is a part of the ERC-funded project: BigEarth - Accurate and Scalable Processing of Big Data in Earth Observation (http://bigearth.eu/index.html)

The InnoPeak Technology is seeking Senior Research Engineer & fresh PHD to join our AI Research Team.

You will be working on developing video understanding algorithms for mobile/embedded devices. The ideal candidate will have a keen interest in producing new science to understand intelligence and transfer technologies into products for better serving our hundreds of millions of users.

Duties and responsibilities

Conduct cutting-edge research that enables learning the semantics of data (video, images, text, audio, speech and other modalities).
Develop algorithms and incubate products in the fields of video understanding for mobile/embedded devices.
Work towards long-term ambitious research goals, while identifying intermediate milestones that can be applied to product development
Collaborate with software engineering experts to build shipping industrial-strength codes
Requirements

Minimum Qualifications

PhD degree in Computer Science or related engineering field or master’s degree with 3+ years of work experience in a role with primary emphasis on AI research
Strong research experience with tracked records in but not limited to the following areas:
- video understanding/classification,
- scene understanding,
- image/video aesthetic evaluation,
- event/motion detection and localization,
- video reframing
- multimodal ML in vision/audio/text etc.

Familiarity with common deep learning frameworks such as TensorFlow, PyTorch, Caffe, MxNet
Phenomenal programming and debugging skills in Python, C++ and/or Java
Ability to work independently and collaboratively in multi-functional teams

Preferred Qualifications:

Publication in top-tier AI conference such (e.g CVPR/NIPS/ AAAI/ICML/ECCV etc.)
Experience in deploying traditional and/or deep learning algorithms on mobile platforms
Experience in quantization/acceleration for deep learning models
Bilingual in both English and Chinese

A postdoctoral position to pursue interdisciplinary research at the interface of AI, neuroscience and/or medical image perception is available in Dr. Frank Tong’s lab at Vanderbilt University. We seek excellent candidates with expertise in developing deep learning approaches for challenging object recognition tasks. A foundational understanding of mathematics is a must; some background in neuroscience or perception is preferred but not required. The postdoc will help develop novel deep learning networks that better match the robustness of human behavioral performance and neural responses to objects in challenging viewing conditions. The lab seeks to develop analytic techniques that can better characterize the learned representations and computations performed by DNNs. The postdoc will also have the opportunity to develop deep learning models for medical image analysis (e.g., chest radiographs) to compare with expert radiological performance. This position will be supported by grants from the National Institutes of Health.

To apply, please send a CV, research statement, links to 2-3 peer-reviewed publications, and the names of three references to frank.tong@vanderbilt.edu.  

http://www.psy.vanderbilt.edu/tonglab/web/Home.html

Vanderbilt University is an Equal Opportunity/Affirmative Action Employer, and we encourage applications from candidates of all backgrounds and especially those that are under-represented in computational neuroscience.