AI/ML Job: Software Engineer (Machine Learning, Program Analysis)


GrammaTech

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.

Job position
Permanent

Job description
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.

Responsibilities

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
Required

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

Preferred

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

Knowledge of additional languages, such as Java, C#, or Javascript

Compiler design or static analysis

Instructions how to apply
see the website
[ job website ]

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