Software Engineer (Machine Learning, Program Analysis) at GrammaTech
Ithaca, New York, United States
🇺🇸 (Posted Jun 17 2018)
About the company
Innovation is at the heart of GrammaTech, and we are constantly pushing the boundaries of software research and development–from software assurance and software integrity to cyber‐security, threat mitigation and autonomic computing. We develop new technologies and see the results of our research incorporated into tools used by engineers and security professionals worldwide.
GrammaTech was founded in 1988, with the firmly‐grounded purpose of helping today’s organizations develop tomorrow’s software. With a focus on the evolving cyber‐security landscape, software hardening and intelligent systems, we tackle the most challenging software issues through a constant stream of highly innovative research and commercial development programs. Headquartered in the beautiful Finger Lakes Region of New York, we offer positions in Ithaca, NY and Madison, WI, as well as opportunities for remote employment.
Exciting opportunity to work on significantly advancing and modernizing the software ecosystem of open-source static-analysis tools! The modernization effort will address various aspects of static analysis tools, ranging from adding new capabilities to improving user experience.
It's not just about our own code, it's about taking other people's software apart and showing them what makes it tick.
Under guidance of a principal investigator (PI), a software engineer on a research project will implement innovative prototypes to explore new approaches to problems in software engineering. A research-oriented software engineer is expected to:
Study and implement approaches drawn from academic literature or in-house design
Evaluate the resulting prototype implementation to test its value in addressing the research goals
Report results to the PI and respond by adapting the prototype to better address research goals
Contribute to presentations and written reports that keep research sponsors up to date on project progress
Prepare prototypes for demonstrations and evaluations by research sponsors. Respond to any last-minute complications to ensure a smooth and successful evaluation
Skills & requirements
BS in computer science or equivalent
Three (3) years or more of industry experience with a minimum of one year in machine learning
Experience with applying machine learning techniques such as artificial neural networks, support vector machines, and cluster analysis
Experience with implementing robust software using open source machine learning frameworks
Ability to read advanced machine learning publications, and to judge and implement the key ideas
Advanced software application development skills in C/C++ and Python
MS or PhD in computer science.
Experience with Bayesian or other machine learning, for example one or more of the following; TensorFlow, Support Vector Machines, Word2Vec, SciPy
Compiler design or static analysis
Instructions how to apply
see the website
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