Front End Software Engineer

Champaign, IL

Design and build out our web and mobile UI, creating great user interfaces for customer-driven data analysis and visualization.

WHAT YOU'LL BE WORKING ON

• Become an expert with our front-end development stack, including AngularJS
• Own the implementation of mucha user facing features.  We have mucha functional areas to build out habría like our developers to become the topical experts and fully own those areas.
• Work directly with the design team to create a compelling user experience that is easy to use, and fast to implement.

WHAT WE'RE LOOKING FOR

• 3+ years of experience developing user-friendly web UIs in a fast-paced, small team environment
• Significant experience with a mainstream technology.  We use the technologies listed below, but they are not a requirement.
• Excellent code quality and attention to detail. Must be passionate about avoiding technical debt.
• B.S. in Computer Science or equivalent experience
• Mobile development experience is beneficial
• Passion to do something new and different with your hard-earned software development skills

Technologies Used

AngularJS, CSS3, HTML5, AJAX, Pyramid, PostgreSQL

To apply please go to the Granular online job application here

Senior Front End Software Engineer

Champaign, IL

Design and build out our web and mobile UI, creating great user interfaces for customer-driven data analysis and visualization.

WHAT YOU'LL BE WORKING ON

• Become an expert with our front-end development stack, including AngularJS.
• Own the implementation of mucha user facing features.  We have mucha functional areas to build out habría like our developers to become the topical experts and fully own those areas.
• Work directly with the design team to create a compelling user experience that is easy to use and fast to implement.

WHAT WE'RE LOOKING FOR

• No farming/ agriculture experience required! 
• 5+ years of experience developing user-friendly web UIs in a fast-paced, small team environment
• Significant experience with a mainstream technology.  We use the technologies listed below, but they are not a requirement.
• Excellent code quality and attention to detail. Must be passionate about avoiding technical debt.
• B.S. in Computer Science or equivalent experience
• Mobile development experience is beneficial
• Passion to do something new and different with your hard-earned software development skills

TECHNOLOGIES USED

AngularJS, CSS3, HTML5, AJAX, Pyramid, PostgreSQL

To apply please go to the Granular online job application here

Software Engineer

Champaign, IL

Design and build out a new generation of web and mobile agricultural management tools, develop advanced analytical tools to leverage geo-spatial and other data from a wide variety of sources, and create grandesuser interfaces for customer-driven data analysis and visualization.

WHAT YOU'LL BE WORKING ON

• Work closely with other developers, product management and data scientists to design and develop high performance, scalable web and mobile applications for analysis and visualization of data as well as grandes scale crop planning and management
• Develop tools to support internal data analysis and R&D

WHAT WE'RE LOOKING FOR

• No farming/ agriculture knowledge required! 
• 3+ years of experience developing high performance, user-friendly web applications in a fast-paced, small team environment
• Significant experience with a mainstream technology.  We use the technologies listed below, but they are not a requirement.
• Excellent code quality and attention to detail. Must be passionate about avoiding technical debt
• B.S. in Computer Science or equivalent experience
• Driven and strong sentido for high quality user experience a plus
• Background in analysis and visualization of geo-spatial data a plus
• Mobile development experience is beneficial
• Passion to do something new and different with your hard-earned software development skills

TECHNOLOGIES USED

 Python, Ubuntu, PostgreSQL, AngularJS, CSS3, HTML5, AJAX, Django, Pyramid

To apply please go to the Granular online job application here

PhotoniCare, Inc. is a medical device manufacturer located in Champaign, IL. Our mission is to improve child health and reduce healthcare costs by empowering physicians with better information. We are starting by developing technology that will change the standard of care for middle ear disease.

Summary: We are currently seeking a Director of Research and Development to lead product development for our first line of products.

Key responsibilities:

• Oversee development of complete integrated systems from alpha prototypes through commercialization.

• Manage a team of engineers to execute key goals related to product development.

• Work closely with outside partners to integrate key subsystems.

• Coordinate with quality systems manager to ensure proper design document control and testing.

• Coordinate with manufacturer and regulatory manager to ensure FDA-compliant development.

• Oversee and coordinate proposal submissions for research funding.

• Serve as primary contact between research staff and administration

Requirements:

• BS in Electrical, Optical, or Biomedical Engineering, Physics, or a related field.

• 3+ years experience in hardware product development (medical device preferred). • Experience integrating complex systems that combine optical, electrical, and software subsystems.

• Excellent written and verbal communication skills.

• Experience with GMP and working within a quality management system.

• Experience developing products in a regulated clinical environment.

This is a full-time position in Champaign, IL. PhotoniCare offers a fun and exciting work environment, as well as a competitive salary and benefits package. Unfamiliar with the Champaign-Urbana area? Check out the following website: http://www.yourewelcomecu.com

Please respond with resume and three (3) references to hr@photonicareinc.com.

What does data and technology have to do with a top ten bank?  The answer is “Everything”. At Capital One, data lives at the center of everything we do. When we launched in 1988 we quickly disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and relational databases. Fast-forward and this little innovation and our passion for data has skyrocketed us to become a Fortune 200 company and leader in the world of data-driven decision-making.

We take our mission of Changing Banking for Good very seriously.  As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in distributed computing technologies and operating across billions and billions of customer transactions to unlock the big opportunities that help everyday people save money and remove the “friction” from their financial lives.

The Capital One Data Science campus internship program will provide you with the chance to see first-hand how your skills and education translate into solving business problems in the financial services industry. As a data science intern you will get the opportunity to work closely with our data science community to solve various financial services problems using cutting edge techniques.

Interns are a full-fledged member of the team—engaged from day one through structured training, a diverse set of experiences, a network of peers across the company, and leadership opportunities. The program is designed to provide exposure to real, complex operational projects.

On any given day you might:

1.       Evaluate open source and internally-developed modeling and analytics tools.  These are  both “big” and “little” data oriented and could be developed in R, Python, C/C++, Scala, H2O, or a language that is “TBD” and waiting to be unpacked.  Finally, you will have the opportunity to work with AWS, internal Hadoop, Spark, Pig, Hive, Impala, and other processing stack elements.

2.       Share evaluation results and insights with data science teams via internal blogs, Stack Exchange, and GitHub.

3.       Write tools, wrappers, and scripts to help teammates perform their jobs more efficiently and effectively.  Example – build a standard pipeline that does grid-search model parameter estimation and then flows straight into a series of diagnostics about how well the model that was just produced performs.

4.       Write software to clean and investigate large, messy data sets of numerical and textual data

5.       Integrate with external data sources and APIs to discover interesting trends (NOAA Weather Data + Credit Card Transactions = Fascinating!)

6.       Design rich data visualizations to communicate complex ideas to customers and company leadership

7.       Develop an internal portal to streamline processes and accelerate discovery time for new information related to tools, APIs, etc. 

The Ideal Candidate will be…

1.       Smart.  You’re a top performing student.

2.       Curious. You ask why, you explore, you're not afraid to introduce and defend a crazy idea. Create machine learning models or data sets to “challenge” existing models— “breaking” developed models to ensure reliability and resiliency. Review and replicate models and create real and thought experiments to determine if and how the model holds up under different scenarios.

3.       Data Savvy You know how to move data around, from a database or an API, through a transformation or two, a model and into human-readable form (ROC curve, chart, map, visualization, etc.). You know Python, Java, R, C/C++, Spark, Storm, Julia, SQL, Matlab, Mahout, or think everything can be done in a Perl one-liner.

4.       Do-er. You have a bias toward action, you try things, and sometimes you fail. Expect to tell us what you’ve shipped and what’s flopped.

5.       Fearless. Big, undefined problems and petabytes don’t frighten you.  You’re not intimidated by new tools or technologies.

Twenty-five years after Capital One was started it’s still led by its founder. Are you ready to join a community of the smartest people you’ve ever met people who see the customer first, and use their formidable skill and capabilities to make a difference every day?

Basic Qualifications:

·         Have obtained or will obtain at least a Masters or PHD degree in a quantitative field of study between May 2016 and August 2017

·         Current student of University of Illinois

·         Availability to work in the Capital One UIUC Lab, adjacent to campus

·         At least 6 months of experience or course work in open source programming languages for data analysis

·         At least 6 months of experience or course work in machine learning or predictive analytics

Preferred Qualifications:

·         Direct experience with either Python or R plus one other general purpose programming language such as Java or C/C++

·         Experience or course work with relational databases

·         Experience or course work with large scale data analysis

·         Experience or course work in statistical modeling

What does data and technology have to do with a top ten bank?  The answer is “Everything”. At Capital One, data lives at the center of everything we do. When we launched in 1988 we quickly disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and relational databases. Fast-forward and this little innovation and our passion for data has skyrocketed us to become a Fortune 200 company and leader in the world of data-driven decision-making.

We take our mission of Changing Banking for Good very seriously.  As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in distributed computing technologies and operating across billions and billions of customer transactions to unlock the big opportunities that help everyday people save money and remove the “friction” from their financial lives.

The Capital One Data Science campus internship program will provide you with the chance to see first-hand how your skills and education translate into solving business problems in the financial services industry. As a data science intern you will get the opportunity to work closely with our data science community to solve various financial services problems using cutting edge techniques.

Interns are a full-fledged member of the team—engaged from day one through structured training, a diverse set of experiences, a network of peers across the company, and leadership opportunities. The program is designed to provide exposure to real, complex operational projects.

On any given day you might:

1.       Evaluate open source and internally-developed modeling and analytics tools.  These are  both “big” and “little” data oriented and could be developed in R, Python, C/C++, Scala, H2O, or a language that is “TBD” and waiting to be unpacked.  Finally, you will have the opportunity to work with AWS, internal Hadoop, Spark, Pig, Hive, Impala, and other processing stack elements.

2.       Share evaluation results and insights with data science teams via internal blogs, Stack Exchange, and GitHub.

3.       Write tools, wrappers, and scripts to help teammates perform their jobs more efficiently and effectively.  Example – build a standard pipeline that does grid-search model parameter estimation and then flows straight into a series of diagnostics about how well the model that was just produced performs.

4.       Write software to clean and investigate large, messy data sets of numerical and textual data

5.       Integrate with external data sources and APIs to discover interesting trends (NOAA Weather Data + Credit Card Transactions = Fascinating!)

6.       Design rich data visualizations to communicate complex ideas to customers and company leadership

7.       Develop an internal portal to streamline processes and accelerate discovery time for new information related to tools, APIs, etc. 

The Ideal Candidate will be…

1.       Smart.  You’re a top performing student.

2.       Curious. You ask why, you explore, you're not afraid to introduce and defend a crazy idea. Create machine learning models or data sets to “challenge” existing models— “breaking” developed models to ensure reliability and resiliency. Review and replicate models and create real and thought experiments to determine if and how the model holds up under different scenarios.

3.       Data Savvy You know how to move data around, from a database or an API, through a transformation or two, a model and into human-readable form (ROC curve, chart, map, visualization, etc.). You know Python, Java, R, C/C++, Spark, Storm, Julia, SQL, Matlab, Mahout, or think everything can be done in a Perl one-liner.

4.       Do-er. You have a bias toward action, you try things, and sometimes you fail. Expect to tell us what you’ve shipped and what’s flopped.

5.       Fearless. Big, undefined problems and petabytes don’t frighten you.  You’re not intimidated by new tools or technologies.

Twenty-five years after Capital One was started it’s still led by its founder. Are you ready to join a community of the smartest people you’ve ever met people who see the customer first, and use their formidable skill and capabilities to make a difference every day?

Basic Qualifications:

·         Have obtained or will obtain at least a Masters or PHD degree in a quantitative field of study between May 2016 and August 2017

·         Current student of University of Illinois

·         Availability to work in the Capital One UIUC Lab, adjacent to campus

·         At least 6 months of experience or course work in open source programming languages for data analysis

·         At least 6 months of experience or course work in machine learning or predictive analytics

Preferred Qualifications:

·         Direct experience with either Python or R plus one other general purpose programming language such as Java or C/C++

·         Experience or course work with relational databases

·         Experience or course work with large scale data analysis

·         Experience or course work in statistical modeling

In order to be considered, students must apply through our careers website using the hyperlink below:

https://cscapitalone.taleo.net/careersection/usx/jobdetail.ftl?lang=en&job=788560

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

No agencies please.

Capital One is an equal opportunity employer committed to diversity in the workplace. Capital One promotes a drug-free workplace.

All qualified applicants will receive consideration for employment without regard to gender, race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status protected by applicable national, federal, state or local law.

Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; Newark, New Jersey Ordinance 12-1630; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

Apply here using Requisition ID 50649192

Full Stack Software Developer (Position Code: 2015-FE-AI)

Agrible, Inc in Champaign, IL is seeking Front-end Developer to support ongoing and new Software products for the company. You will be involved in research and design, analysis, implementation, testing, and troubleshooting our predictive analytics software. We are looking for support by full stack Python programmers with focus on the front end. We need a driven developer that can translate designs into reality.

This Position is part-time or full-time and paid commensurate with experience.  Self-motivated graduate or undergraduate students seeking a challenge will be well met by this experience.  Agrible is a team of over 30, made up of agricultural engineers, developers, business people, and support team members who have a deep love of agriculture, as well as big data analysis.

Qualifications:

·        Python and Django experience

·        Development with Amazon Web Services or other cloud-based infrastructure

·        Practical rDBMS experience (PostgreSQL, MySQL)

·        Experience integrating web UI to databases

·        Understanding of Application Programmatic Interfaces to databases, particularly, Rest API

·        Use of HTML5, Javascript/ jQuery, JSON, AJAX, D3.js, and CSS

·        Mobile first responsive web design and UX experience

·        Knowledge of online mapping including map tiling, Open Layers 3, GeoDjango, spatially-enabled databases, Leaflet.js, etc.

·        Graduate or accomplished undergraduate student in Computer Science

·        Must be eligible to work in the United States

Plusses:

·        Graphic design and mobile first design experience

·        ASP.NET experience

Responsibilities include:

• General support of ongoing product development in our team. We maintain an “all hands on deck” philosophy, and expect all team members to step in and help whenever they see an opportunity
• Assemble and troubleshoot tools
• Conduct testing on new prototypes
• Document test results and draw conclusions to support lead engineers
• Other forms of support as needed
• Champion mobile design through all of our products

Please send a resume and cover letter addressing your salary requirements and establishing your experience/qualifications for the criteria outlined above. Please submit these items to careers@agrible.com.

Location of Position: Champaign, IL

Agrible is an equal opportunity employer

EOE/AA

M/F/D/V

About Akuna

Akuna Capital is a fast-growing derivatives trading firm located in downtown Chicago that specializes in market-making and arbitrage.  Founded in 2011, Akuna has quickly expanded from a start-up to a successful leader on US options exchanges and has already begun international expansion. In July of 2013 Akuna opened a dedicated technology office in the Research Park of the University of Illinois. The office houses a blend of full-time developers and student interns working on Akuna’s mission-critical systems.  We’ve grown significantly from humble but determined beginnings and still proudly retain the spirit of a smaller, entrepreneurial start-up.

Job Description

We have an opportunity for a motivated developer to join our performance team and contribute to the build-out of our proprietary options market-making trading platform. Your role will focus on high performance data parsing and how we transfer data to make it useable for the data analysts.

What you’ll do as a C++ Developer at Akuna:

• Data collection, real time data parsing and data storage
• Implement high quality services
• Engage traders and developers and articulate ideas clearly
• Participate in design sessions and code reviews
• Work on cross-functional teams
• Be mentored by Senior Developers to learn the trading system and domain
• Solve complex problems and troubleshoot issues

Qualities that make great candidates:

• 2-5 years of experience in developing performant, scalable applications in C++ (and at least 2 years with C++11)
• Experience with databases and data storage (HDF5 and Elasticsearch preferred)
• Bachelor’s degree in Computer Science, Engineering, Math or equivalent
• Experience with concurrent programming (e.g. multi-threaded, reactor, etc.)
• Experience with multi-core programming paradigms
• Understanding of distributed systems, data structures and algorithms
• Understanding concepts of networking (i.e. TCP, UDP, multicast)
• Capable of writing unit tests and functional tests
• Ability to break down large problems methodically
• Experience with Linux and Python

Please apply directly to our website: http://www.akunacapital.com/job-details/?jobid=80356&gh_src=

Job Description:

The John Deere Technology Innovation Center, located at the Research Park on the University of Illinois Urbana-Champaign campus, is seeking a qualified undergraduate or graduate student intern to join our team. This role will consist of using statistical techniques to develop business opportunities. The focus will be on application of statistical concepts for improved management of material volume and cost.

Areas of interest include, but are not limited to:

• Manufacturing Product Line Optimization

• Cost Driver Analysis

• Enhanced Data Visualization Techniques

 What you will do:

• Develop, organize, and maintain project databases

• Perform statistical analysis on material volume and cost data for improved product line optimization

• Perform statistical analysis on cost driver attributes among multiple product lines

• Develop new data visualization techniques using Tableau

• Communicate results and develop presentations within the research team and to engineering and product teams

• Engage in active, collaborative research in a dynamic, fast-paced environment

Educational/Experience Requirements:

• Pursing undergraduate or graduate degree in a quantitative discipline, such as statistics, applied mathematics, computer science

• Experience with probability, statistics, and machine learning techniques

• Able to program, preferably in programming languages such as R, SAS, MATLAB

• Expert skills in Excel, Tableau

• Being able to advise management in clear language about the implications of their work for the organization

• Driven to create examples, prototypes, demonstrations to help management better understand the work

• Being able to work autonomously and in a team environment

• Good communication skills and enthusiasm to learn new technologies

Salary and Benefits:

Pay rate commensurate with experience. This is a full-time summer position, part-time semester position.

About Us: More information about John Deere can be found at http://www.deere.com/wps/dcom/en_US/corporate/our_company/our_company.page

Contact: Please contact ArmstrongKevinL@JohnDeere.com about this position.