The Media Analytics Department is seeking outstanding researchers with backgrounds in computer vision or machine learning. Candidates must possess an exceptional track record of original research and passion to create high impact products. Our researchers are expected to establish global leadership in their communities.

NEC Labs provides a vibrant research environment and the Media Analytics team publishes extensively at top-tier venues such as CVPR, ICCV or ECCV. Our key research areas include 3D scene understanding, representation learning and privacy. We are located in San Jose, with a strong internship program and active collaborations with academia. To check out our latest work, please visit: https://bit.ly/39VHNxa.

• PhD in Computer Science (or equivalent)
• Strong publication record at top-tier computer vision or machine learning venues
• Motivation to conduct independent research from conception to implementation
• Programming skills in Python, C or C++

For more information about NEC Labs, please access http://www.nec-labs.com/, and submit your CV and research statement through our career center at https://www.appone.com/MainInfoReq.asp?R_ID=3153152.

Equal Opportunity Employer

NEC Laboratories America (www.nec-labs.com) conducts research in support of NEC's US and global business. Our lab has a broad research program that covers many areas and maintains a balance of fundamental and applied research.

The Data Science and System Security Department aims to build novel big data solutions and service platforms that simplify the management of complex systems, from networks to cyber-physical systems, and to develop new information technology that supports innovative applications, from big data analytics to the Internet of Things. Our research is both experimental and theoretical, covering many domains in data science and artificial intelligence, such as: time series mining, graph mining, text mining, anomaly detection, signal processing, and streaming processing. The goal of our research is to understand the dynamics of big data from complex systems and build innovative solutions to help end users manage these systems. We built several analytic engines and system solutions to process and analyze big data and support various applications in detection, prediction and optimization. Our research lead to both award-winning NEC products and publications in top conferences.

Our group is looking for researchers to work at the intersection of machine learning and networking and/or system security. The ideal candidate must have a PhD in CS/CE and a strong publication record in at least one of the following areas:

• Data mining and machine learning
• 5G networking and IoT
• Network management, measurements, and analysis
• Network and/or system security

NEC Labs is located in Princeton, NJ, home of the Princeton University and one of New Jersey's most beautiful and idyllic towns. The area offers many exciting cultural, entertainment and outdoor activities. The office is minutes away from Princeton University and an hour from New York, Philadelphia, and the Atlantic Ocean. For more information about NEC Labs, please access http://www.nec-labs.com/, and submit your CV and research statement through our career center at https://www.appone.com/MainInfoReq.asp?R_ID=3123535.

Equal Opportunity Employer

NEC Laboratories America (www.nec-labs.com) conducts research in support of NEC's US and global business. Our lab has a broad research program that covers many areas and maintains a balance of fundamental and applied research.

The Data Science and System Security Department aims to build novel big data solutions and service platforms that simplify complex systems management, and to develop new information technology that supports innovative applications, from big data analytics to the Internet of Things. Our research is both experimental and theoretical, covering many domains in data science and artificial intelligence, such as: time series mining, graph mining, text mining, anomaly detection, signal processing, and streaming processing. The goal of our research is to fully understand the dynamics of big data from complex systems, retrieve patterns to profile them and build innovative solutions to help end user managing those systems.  We have built a number of analytic engines and system solutions to process and analyze big data and support various applications in detection, prediction and optimization. Our research leads to both award-winning NEC products and publications in top conferences.

Our group is looking for researchers to work in the areas of artificial intelligence, machine learning or data mining. The ideal candidates must have expertise in one of the above areas, and can develop algorithms to analyze massive data and build innovative applications. S/he must have a PhD in CS/CE with a strong publication record in at least one of the following areas:

• Data Mining and Machine learning (especially deep neural networks)
• Time series analysis and prediction
• Text mining, natural language processing and information retrieval
• Graph and information network mining
• Large scale optimization and learning
• Signal processing, image processing and computer vision

NEC Labs is located in Princeton, NJ, home of Princeton University and one of New Jersey's most beautiful and idyllic towns. The area offers many exciting cultural, entertainment and outdoor activities. The office is minutes away from Princeton University and an hour from New York, Philadelphia, and the Atlantic Ocean. For more information about NEC Labs, please access http://www.nec-labs.com/, and submit your CV and research statement through our career center at:  https://www.appone.com/MainInfoReq.asp?R_ID=3108918.

Equal Opportunity Employer

Responsibilities:

The aim of the team is to apply cutting edge techniques to economic and investment research for both internal and external clients. The candidate’s main focus will be:

l  Collaborating with in-house scientists to exploit AI applications in economic and investment research

l  Apply scientific techniques and develop complex models to address key business problems

l  Developing investment strategies and products with the help of investment team

l  Communicating research findings to senior stakeholders

Requirements:

l  Educated at top schools with a PhD degree in economics, finance, management science or data science

l  Experience in empirical research with solid knowledge of machine learning and big data

l  Excellent programming skills (e.g., python/R/Java)

l  Excellent communication skills to convey complex/abstract ideas clearly

l  A self-starter who can manage workflow without clear instructions

Responsibilities:

The aim of the team is to apply cutting edge techniques to quantitative solutions and ultimately generate alpha for both internal and external clients. The candidate’s main focus will be:

l  Developing new quantitative strategies back to front (stocks, fixed income, FoF)

l  Collaborating with in-house scientists to exploit latest development in AI and its applications

l  Communicating research findings to senior stakeholders

Requirements:

l  Educated at top schools with a degree in a quantitative discipline (e.g. math, physics, CS or engineering)

l  Solid programming skills (e.g., python/R/Java)

l  Experience in quantitative trading/research or model development/optimization

l  Knowledge of deep learning

l  Excellent communication skills to convey complex/abstract ideas clearly (both English and Chinese)

l  A self-starter who can manage workflow without clear instructions

You will be joining a team responsible for the AI (Artificial Intelligence) Engine development. Your role will be to:

• Develop new and faster algorithms for medical image pre/post-processing pipelines
• Ensure algorithms perform within specified resource limitations (RAM, CPUs, GPUs, Time)
• Develop or improve existing Frameworks (eg. Model QA Frameworks, Model Integration Frameworks, Model Reporting Frameworks)
• Explore/Implement new libraries or frameworks for algorithm optimisations
• Assist ML Engineers in Model Integrations

Job Requirements

Candidate should have experience and knowledge in as many of following areas:

• AI and ML libraries, frameworks (Numpy, Tensorflow, Keras, PyTorch etc)
• Hands-on experience with AI and ML applications
• Programming experience with Python, C++ or Java
• You should have a good knowledge of computer systems (eg. stack, heap, ram, cpus, gpus, multithreading, multiprocessing)
• Past experience defining and coding and validation tests

Experience with following will be beneficial:

• 2+ years of experience in AI development
• Medical image processing or computer vision
• Proficient with Linux, Docker and Cloud

You will be joining a team which is responsible for the AI-Engine product development. Your role will be to develop features on AI-Engine for both frontend and backend, integration of AI-Engine into hospital’s system as well as working with third party vendors if needed.

Job Requirements

• 3-5 years of working experience in relevant field
• Degree in Computer Science, Computer/Electrical Engineering or equivalent
• Proficient in Python Programming
• Experience in database (Postgres)
• Basic knowledge in frontend development (nodejs, react, electron)
• Basic understanding of container technology (docker)
• Basic knowledge on network communication (http, https etc)
• Able to use git, bash, linux
• Plus point if understand medical images / dicom protocol

You will be joining a team responsible for the AI (Artificial Intelligence) Engine development. Your role will be to implement solutions to harden the security of the AI Engine, conduct penetration tests on the AI Engine, meet security requirements for integration with clients, identify threats and loopholes in the system, automate security services/testing and reports, encryption and protection of Machine Learning models.

Job Requirements

• Degree in Computer Science, Computer/Electrical Engineering or equivalent
• Specialization in Cyber/IT Security (though coursework or experience)
• At least 2 years of experience in IT security
• Linux system administration
• Mac OS
• Linux (Centos, Redhat) hardening
• Penetration testing
• Bash, Python, or equivalent scripting languages

You will be joining a team responsible for the AI (Artificial Intelligence) Engine development. Your role will be to:

• Develop new and faster algorithms
• Optimise and improve the speed of existing algorithms (e.g. Image pre-processing pipelines)
• Ensure algorithms perform within specified resource limitations (RAM, CPUs, GPUs, Time)
• Develop or improve existing Frameworks
• Explore/Implement new libraries or frameworks for algorithms optimisations

Job Requirements

• Degree in Computer Science, Computer/Electrical Engineering or equivalent
• At least 1 year of experience in one of the following Software Development / Algorithms Development / Machine Learning
• Proficient in Linux and basic Linux system commands
• Proficient in the following languages
  – Python
  – C/C++
  – Bash (basic)
  – Proficient in the following Python libraries
  – NumPy
  – Scikit
  – Opencv
  – ctypes (Python C bindings)
• Proficient in the following frameworks/tools:
  – Git 
  – Pytest

BioMind is an award-winning Artificial Intelligence (AI) company offering advanced technology solutions in healthcare industry. As the world’s first company to obtain both European CE mark and Singapore HSA medical device certification, we pride ourselves in empowering the healthcare community through deep technology. Driven by a large team of machine learning engineers, regulatory experts, and medical professionals from prestigious hospitals, we envision to scale healthcare expertise globally using AI. BioMind has also been crowned the Champion in both the Techblazer Award 2019 and 19th Asia Pacific ICT Alliance Award. These highest accolades both nationally and internationally for ICT innovation are strong endorsements of how our technology can deliver unprecedented benefits to people.
 

What are we looking for

A strong technical guy with a geeky background like Computer Science, Physics, Mathematics who loves programming, solves tough problems, fascinated by Math and Physics and wants to learn artificial intelligence and build deep learning models. Machine learning background is not a requirement.

The Candidate

Our aim is to align you with the activities which truly interest you; will stretch you technically; help you grow and impact on billions of patients.

Some of the things you will learn

• Computer Vision / Image Segmentation, Localization, Classification
• Deep Learning Techniques, Research Techniques, Paper Writing
• Deep learning tools: TensorFlow, NumPy, Pandas, Sklearn, SciPy, Seaborn
• Building deep learning models, understanding the learning mechanisms
• Learning from professors from MIT, NUS, Tsinghua
• Interacting with top neurologists and doctors

Education

Bachelor / Master / PhD in Engineering or Computer Science or Mathematics or Physics.

We can offer you

• Master, Teach, learn – The opportunity to work with, learn from and share knowledge with ultra-smart colleagues in a culture of collaboration and technical excellence. We groom our employees and make sure that they stay at the cutting edge of the technology stack.
• Impact – Huge potential to make a positive contribution across our business, people, and partners
• Remuneration – Competitive pay with share award for top performers.

We are willing to groom engineers and fresh graduates who do not have a background in deep learning but are interested to learn. You will also have the opportunity to attend top machine learning conferences like NIPS and ICML.

Location

Beijing

Contact Info

HR: WANG Hao, +86 13161375845, hao.wang@biomind.ai