Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs.  We are seeking Back End Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.

What You’ll Do: 

• Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that  help meet regulatory needs for the company

• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code

• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment

• Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services 

Basic Qualifications: 

• Bachelor’s Degree

• At least 6 years of experience in software engineering

• At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

• At least 2 years of people management experience

Preferred Qualifications:

• Master's Degree

• 7+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js

• 2+ years of experience with AWS, GCP, Azure, or another cloud service

• 4+ years of experience in open source frameworks

• 5+ years of people management experience

• 2+ years of experience in Agile practices

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs.  We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Master Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. 

What You’ll Do: 

• Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that  help meet regulatory needs for the company

• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community

• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment

• Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services 

Basic Qualifications: 

• Bachelor’s Degree

• At least 6 years of experience in software engineering

• At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Preferred Qualifications:

• Master's Degree

• 7+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go

• 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service

• 4+ years of experience in open source frameworks

• 1+ years of people management experience

• 2+ years of experience in Agile practices

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs.  We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. 

What You’ll Do: 

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies

• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community

• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment

• Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services 

Basic Qualifications: 

• Bachelor’s Degree

• At least 4 years of experience in software engineering 

Preferred Qualifications:

• 5+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go

• 1+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service

• 3+ years of experience in open source frameworks

• 2+ years of experience in Agile practices

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs.  We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. 

What You’ll Do: 

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies

• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community

• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment

• Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services 

Basic Qualifications: 

• Bachelor’s Degree 

• At least 2 years of experience in software engineering 

Preferred Qualifications: 

• 3+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go

• 1+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service

• 2+ years of experience in open source frameworks

• 2+ years of experience in Agile practices

As a Capital One Machine Learning Engineer, you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. Working within an Agile environment, you’ll serve as a technical lead, providing input into machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You’ll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology. 

What you’ll do in the role: 

• Deliver ML software models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams

• Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment 

• Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art, next generation big data and machine learning applications

• Leverage cloud-based architectures and technologies to deliver optimized ML models at scale 

• Construct optimized data pipelines to feed ML models 

• Use programming languages like Python, Scala, or Java 

• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code 

Basic Qualifications :

• Bachelor’s degree. 

• At least 3 years of experience designing and building data-intensive solutions using distributed computing 

• At least 4 years of experience programming with Python, Scala, or Java

• At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) 

• At least 1 year of experience productionizing, monitoring, and maintaining models 

Preferred Qualifications:

• 1+ years of experience building, scaling, and optimizing ML systems

• 1+ years of experience with data gathering and preparation for ML models

• 2+ years of experience developing performant, resilient, and maintainable code

• Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform

• Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 

• 3+ years of experience with distributed file systems or multi-node database paradigms

• Contributed to open source ML software 

• Authored/co-authored a paper on a ML technique, model, or proof of concept

• 3+ years of experience building production-ready data pipelines that feed ML models 

• Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance 

As a Capital One Machine Learning Engineer, you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. Working within an Agile environment, you’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering to keep Capital One at the cutting edge of technology.  

What you’ll do in the role: 

• Deliver ML software models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams

• Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment 

• Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art, next generation big data and machine learning applications

• Leverage cloud-based architectures and technologies to deliver optimized ML models at scale 

• Construct optimized data pipelines to feed ML models 

• Use programming languages like Python, Scala, or Java 

• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code 

Basic Qualifications:

• Bachelor’s degree 

• At least 2 years of experience designing and building data-intensive solutions using distributed computing

• At least 2 years of experience programming with Python, Scala, or Java 

• At least 1 year of Machine Learning experience with an industry recognized ML framework (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) 

Preferred Qualifications 

• Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 

• 1+ years of experience working with large code bases in a team environment

• 1+ years of experience with distributed file systems or multi-node database paradigms 

• Contributed to open source ML software

• 1+ years of experience building production-ready data pipelines that feed ML models

The Data Science team (http://www.nec-labs.com/research-departments/data-science-systems-research/data-science-systems-research-home) aims to build novel big data solutions and smart platforms to simplify complex system and service management. Our research is both experimental and theoretical, covering many domains such as time series analysis, graph mining, NLP and document analysis, reinforcement and imitation learning. We have built a number of analytic engines to 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.

The team is seeking data scientists to work in the area of data analytics and service development. The ideal candidate will have strong background in data mining and machine learning, as well as experiences in software development. 

Position Requirements:

• BS degree or higher in Computer Science, Engineering or other quantitative programs.
• Good knowledge in machine learning and data mining, probability and statistics, data structures and algorithms.
• Proficiency in data analysis tools such as Numpy/Scikit-learn/Pandas, TensorFlow or PyTorch.
• Experience with web development using HTML/CSS/JavaScript (jQuery/React/Backbone/Angular/Ember).
• Innovative and creative thinking, and strong written and verbal communication skills.
• U.S citizenship (preferred) or U.S permanent resident.

Data Scientist Postdoc

YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role, Data Scientist Postdoc, are to: 

• Be an active member of a highly interdisciplinary and cross-organizational team;
• Stay current with the fast-paced innovation in machine learning applied to the analysis of biomolecules, with a focus on modelling the “language of life”;
• Collaboratively develop a high-quality toolkit for data processing and machine learning of biomolecular data;
• Come up with new ideas, own and pursue a research agenda to carry out long-running projects;
• Conceive, execute and evaluate models and experiments, interpret the results and present them in various cross functional meetings;
• Help other researchers use machine learning in their daily discovery activities;
• Work in collaboration with peers located in the Pharmaceutical and Consumer Health Divisions;
• Strengthen external visibility and scientific excellence through publishing, open source code and engaging with the scientific community.
   

WHO YOU ARE

Your success will be driven by your demonstration of our LIFE values.  More specifically related to this position, Bayer seeks an incumbent who possesses the following:

Required Qualifications:

• Bachelor’s degree with at least five years of experience or Master’s degree with at least two years of experience or Ph.D.;
• Educational preparation or applied experience in at least one of the following areas, Machine Learning, Electrical/Industrial Engineering, Operation Research, Statistical Genetics, Statistics, Biostatistics, Bioinformatics, Genomics, Computational Biology, Applied Mathematics, Computer Science or other related quantitative discipline;
• Profound experience with state-of-the-art advanced mathematical models, machine learning methods and model selection concepts;
• Excellent programming and software engineering skills in Python;
• Proficiency in writing code and experience in cloud computing;
• Highly creative, independent, fast-learning person with outstanding problem-solving ability and the willingness to undertake challenging analysis tasks autonomously and in a timely fashion;
• A sincere interest for biology and the life sciences;
• Strong interpersonal skills, excellent written and verbal communication, and the ability to work effectively both independently and in cross-functional teams;
• Willingness to travel between research sites domestically and globally;
• Fluency in English, both written and spoken;
• This role has a limited duration of 24 months.

Preferred Qualifications:

• Previous experience with deep learning;
• Knowledge of chemistry or biology;
• PhD

Job description

• Participate in back-end development and maintenance of related businesses, products and services;
• Understand the business requirements in depth, manufacture according to product requirements and technical requirements. Develop technical programmes, project plans and implement them according to the programmes
• Analyze and solve problems in the development process;
• Collaborate with other members of the project team to work with the project manager to accomplish relevant task objectives.

Requirements

• Undergraduate or above in computer science or related major;
• Familiar with medical imaging, DI.COM protocol with PACS or cloud service development experience preferred;
• Familiar with Web service development and experience in C++/Python;
• Familiar with Git, Docker basic command operations;
• Good document writing and development habits and patient communication skill;
• High motivation and responsibility。

Place of Workplace:
Singapore

About Us

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.

Basic Responsibilities:

1. Develop and maintain the back-end of the medical AI assistive system
2. Develop and maintain the AI ​​medical assistive system database
3. Adapt to different hospital database systems, have in-depth communication with doctors, and provide timely and accurate data support
4. Analyze the data needs of AI scientists and doctors and provide timely feedback

Requirements

• Degree in Computer Science or other related discipline or equivalent, with more than 2 years’ experience in Java development
• Solid Java foundation, familiar with common design patterns, open-source frameworks such as spring/mybatis/hibernate, proficient in Linux operating system, experience in caching mechanism and message queue
• Familiar with relational/non-relational databases
• Familiar with database/Webservice/RESTful/MQ interface development, experience in actual business system interface development preferred
• Familiar with docker and ansible
• Experience in HIS, PACS, LIS, RIS medical information system preferred
• Have good coding habits, patience in communication, high enthusiasm, and willing to take on short-term business trips

Place of Workplace:
Singapore