RealMassive is looking for a Senior Python Backend Developer to help build and deploy our game-changing marketing platform. Our highly accomplished early team is having fun and building something massive! Commercial real estate, a multi-trillion dollar market, runs like an oxcart from the 1500s. We're here to give it GPS, strap on some JATO rockets and change it all. You may be able to reap the rewards by building with us.
RealMassive is a home for creative problem solvers who bristle at boredom and love challenges. Personality, tats & piercings encouraged. THC certification a plus.
- Google App Engine (deployment, infrastructure, task queues, memcache, etc)
- Datastore (NoSQL)
- Database design and modeling with speed, robustness, and scalability in mind
- Git and distributed version control
- Agile development processes
RealMassive is looking for a Data Scientist to help mine, model, and make predictions on our growing corpus of virgin data. Our product—launching soon in a market near you!—is a platform as a service (PaaS) which will soon inundate us with a flood of new commercial real estate data. Our data scientist(s) will be the first to lay hands on this fertile data, creating and testing hypotheses to generate insight and value for our customers. Insight gained here will help revolutionize an entire industry.
Commercial real estate, a multi-trillion dollar market, runs like an oxcart from the 1500s. We're here to give it GPS, strap on some JATO rockets and change it all. You may be able to reap the rewards by building with us. RealMassive is a home for creative problem solvers who bristle at boredom and love challenges. Personality, tats & piercings encouraged. THC certification a plus.
- Experience in data mining and machine learning
- MS or PhD in a related quantitative field preferred
- Basic programming abilities (Python preferred)
- Excellent communication skills
- Familiarity with Linux-like environments
- Understanding of agile process
- Git or other modern source code management tools
UofW eScience Center
We have a few interesting positions open
Endgame is looking for software engineers who are excited to work in a fast-paced, agile development environment to create new software components for game-changing data and security products. We use high-level programming languages, working with petabytes of data in an ecosystem of NoSQL products, both internal and open-source, to implement analysis, data-flow, visualization and security systems, blending our own threat intelligence and our customers’ data. Much of our work is exploratory and experimental. As part of Endgame’s engineering team, you will work with a team whose responsibilities span customer experience, problem solving, requirements analysis, and technical implementation.
- Software Implementation Engineer
- Software Data Engineer
- Software Engineer, Applications
- Senior Software Engineer, Data Team
- Senior Software Engineer
The D. E. Shaw Group
Quants at the D. E. Shaw group apply mathematical techniques and write software to develop, analyze, and implement statistical models for our computerized financial trading strategies. Keen insight and innovation are imperative for creating solutions for trading profitably in markets around the globe. Specific responsibilities range from examining trading data in an effort to increase profitability, decrease risk, and reduce transaction costs to conceiving new trading ideas and devising the simulations needed to test them. Successful quant candidates have traditionally been exceptionally talented students at the top of their respective math, physics, engineering, and computer science programs; a considerable number have also competed successfully in the United States and International Math Olympiads as well as the Putnam Competition. Members of our highly versatile technical staff possess the wide range of quantitative and programming abilities necessary to tackle challenging problems that are critical to the firm's continued success.
The D. E. Shaw group brings together some of the best minds in computer science, mathematics, physics, and engineering to work at the intersection of finance and technology. Members of our versatile technical staff exhibit a range of strong quantitative and programming abilities, with software developers and quantitative analysts collaborating on challenging problems that directly impact the firm's continued success.
Quality and innovation are imperative for creating computationally-intensive solutions for trading profitably in markets around the globe. Developers bring strong analytical, mathematical, and software design skills to a variety of projects, including the formulation of statistical models for our computerized trading strategies, distributed system development, real-time data analysis, and the creation of tools for advanced mathematical modeling. Technology is an integral part of virtually everything we do and our team enjoys access to some of the most advanced computing resources in the world. Successful candidates have traditionally been the top students in their programs and have extensive software development experience. We welcome outstanding candidates at all experience levels.
Client Facing Consultant --- Python Developer
Continuum is looking for accomplished scientists and engineers interested in a customer-facing software consultancy that could lead to full time placement with a customer at the conclusion of a project. Many of these roles allow for involvement with our core technologies as needed by the customer. The more experienced candidate will have a strong technical background with 4+ years Python and C/C++ development experience and 2+ years experience with NumPy or the equivalent. Depending on your skills, you will work on one of our core products or technologies, including our next-generation data management products which will push Python and its vectorized enhancements such as NumPy into general use in big data analytics. For the right person(s) with strong technical and customer-facing skills but less prior exposure to Python, C/C++, NumPy, and related, we may offer concentrated training and mentoring to fully prepare you for this role. Most positions are NYC based.
Bonus skills & experience: Distributed databases, parallel computation, KDB+, GPU, UI, Gemstone, OLAP/MDX, LLVM.
- Engineering, Science, or Computer Science B.S. degree (or equivalent experience)
- 2+ years Python
- 1+ years NumPy or Pandas
- Systems level understanding of Linux or Windows
Please apply at: www.continuum.io/careers
Senior Software Engineer
Continuum is building exciting tools to enable scientists, engineers, and other domain experts to analyze their data and create compelling visualizations from high-level descriptions. We are building compilers from high-level languages to machine code as part of this work. See http://numba.pydata.org and http://blaze.pydata.org for more details on these projects. We need someone to join the team to particularly work on Numba features and support using Numba as a part of the Blaze infrastructure.
- Awareness of NumPy or equivalent array constructs in Fortran or other languages
- Understanding of low-level (assembly, GPU, LLVM)
- Ability to learn quickly
- Deep familiarity with C/C++
- Experience with OCaml, Haskell, Rust, Nimrod, or Julia a plus
Please apply at: www.continuum.io/careers
Scientific Software Developer
The Software Developer at Enthought, Inc. participates in the development of scientific and technical applications involving GUIs, 2D and 3D graphics, workflow and pipeline architecture, and numerical algorithms for our proprietary products and for customer applications. We currently have openings in Austin (USA) and Cambridge (UK). Some travel may be required.
If you are passionate about scientific computing, dedicated to quality software, and pragmatic about problem solving, we'd love to hear from you. While domain expertise and strong technical skills are almost always required, we tend to weigh "really smart", "highly productive", and "dedicated to developing quality products" more heavily than any specific skill set or degree. Ideal candidates often have a strong background in scientific fields, but also find themselves gravitating to the software development and design aspects of their work.
We are interested both in experienced applicants as well as in recent graduates. Applicants should have a BS, MS, or PhD degree with a strong background in science and mathematics, as well as real experience developing quality software, either commercial or open source. More experienced applicants should also have demonstrated project management skills and the ability to lead a team of strong developers with highly technical backgrounds. To apply, please submit your resume and cover letter to firstname.lastname@example.org.
Susquehanna International Group
Quantitative Research Analyst
The Quantitative Research team at SIG works with traders and software engineers in the development, testing, and implementation of pricing models and technical tools. As precise indicators of any security's "true" value, these highly complex models are the roadmap for SIG's daily trading activities.
Quantitative Research Analysts apply their considerable mathematical skills in areas such as probability and statistics, stochastic processes, numerical analysis and optimization to the construction of models essential to trading derivatives. In addition, the research team has developed and implemented computer based trading systems that successfully execute sophisticated large-scale strategies.
Link (to full job description): https://careers-sig.icims.com/jobs/1504/quantitative-research-analyst/job
Quantitative Developer - Backtesting and Research Computing
Are you a curious person, with experience and skills in software development, large data systems, and quantitative development? Do you like solving tough problems and love data (lots of it!)? If so, SIG wants to talk to you. We're currently seeking a Quantitative Developer for our Backtesting and Research Computing group. As a member of the team, you will work with quantitative analysts, trading system technologists and traders to build tools that analyze data which will have a direct impact in optimizing trading behavior and results.
In this role you will:
- Research, design, develop and improve systems used in backtesting and data analysis for automated option trading strategies
- Work with quantitative analysts, trading technologists and traders to build both ad-hoc and systematic tools and data which help in optimizing trading behavior and results
- Work with infrastructure developers to scale computations for high throughput
Link (to full job description): https://careers-sig.icims.com/jobs/1625/software-engineer---data-and-research-computing/job
Quantitative Research Intern
SIG's summer internship program places summer hires directly into the Quantitative Research department, allowing them to work on essential projects with team members and mentors, while introducing them to SIG’s unique culture.
SIG's superior Quantitative Research team works with traders and software engineers in the development, testing, and implementation of predictive models, pricing models and technical tools. As precise indicators of any security's "true" value, these highly complex models are the roadmap for SIG's daily trading activities.
SIG's structure allows individuals with different educational backgrounds to learn the practical and theoretical aspects of the position at their own pace. Through a combination of internal mentoring, immersion, and external resources, Quantitative Research Interns gain the skills necessary to assist with the development of tools which allow us to capitalize on trading opportunities.
Link (to full job description): https://careers-sig.icims.com/jobs/1638/quantitative-research-intern/job
MaxPoint is looking for engineers, QA specialists, and data scientists to help us continue to be one of the most rapidly growing companies. In short, the challenges we solve today become the best practices of tomorrow. While most companies are busy paying lip service to innovation, MaxPoint actually does it. In fact, some of our recent accomplishments include:
- Building complex statistical and computational models using natural language processing and the latest in machine learning
- Extracting meaningful insights from extremely large, high-demensional data sets to make precise real-time behavioral predictions
- Developing multiple intuitive user interfaces and data visualizations to help brands, retailers, and advertisers make more intelligent advertising decisions
When you come to MaxPoint, you get to work with:
- Multi-threaded, highly scalable technology that processes hundreds of thousands of events per second for the nation’s top brands, retailers, and advertisers
- Real-time bidding systems that respond to billions of requests daily (all within 50 to 120 milliseconds)
- Petabytes of data funneled through several Hadoop clusters housed across multiple data centers
Interested? View our open positions to find the right career for you.
Modeling aerosol-cloud interactions post-doc at the University of Warsaw
The cloud-modeling group at the Faculty of Physics, University of Warsaw invites applications for a full-time post-doctoral position. The successful candidate will join our team working on a novel open-science-compliant software suite for research on aerosol-cloud interactions (more information: http://github.com/igfuw/.
We are seeking a candidate with background in computational atmospheric science. Interdisciplinary experience that would contribute to bridging aerosol/cloud micro/macro physics/chemistry will be appreciated. Experience in cooperative programming, knowledge of C++ and/or Python, and general knowledge of open standards and tools of applicability in numerical modelling will all constitute additional assets.
For more information about the group and the job offer please see: http://foss.igf.fuw.edu.pl/. You can also talk to Dorota Jarecka during the SciPy2014 conference https://conference.scipy.org/scipy2014/speaker/profile/155/.