Principal Artificial Intelligence Engineer
Company: Cubic Corporation
Posted on: May 16, 2020
Cubic Global Defense
Cubic Austin is a data science and software developer with the
majority of its production development occurring in its Austin, TX
studio and business development occurring in the DC area. We've
been developing software in Austin since 2007 and in spring of
2014, we merged with Cubic Corporation (CUB) and are now a part of
their Global Defense segment, which is a market leader in
innovative live, virtual, and game based training solutions. Cubic
Austin's continuing work with US DoD special customers, allied
instrumented Combat Training Centers worldwide and on multiple
DARPA programs has made it a leader in the research and development
of multi-domain mosaic battlefield analytics and reinforcement
learning AI including tactical, strategic, logistics, EO/IR/EM,
NLP, unmanned vehicle and ISR applications. We are actively
bringing the latest research in deep learning to market including
deep probabilistic learning, graph-based learning, ML on the edge,
transfer learning, explainable AI, geospatial learning and online
learning. Cubic Austin is a center of excellence for data science
and AI for the greater multinational Cubic corporation.
We are looking for an experienced applied artificial intelligence
engineer/scientist with a strong background in deep reinforcement
learning and deep probabilistic learning to lead in the next
generation of data-driven innovation at Cubic. They must be
comfortable working with a wide range of stakeholders and
functional teams. The right candidate will have a passion for
discovering, building and delivering solutions using the latest
theory, tools and frameworks.
We value the work-life balance of our employees and have received
top workplace honors in the past. Our employees regularly rate
their relationships with their co-workers as one of the best
aspects of working here and one of the main reasons they stay. Our
role within Cubic is to be an innovative force; therefore we want
forward thinking, high energy collaborators to join our team. We
offer competitive compensation, top tier benefits, and excellent
Cubic Austin empowers people who understand how innovative software
can drive revolutionary change. Our world-class team of engineers,
developers, scientists, and thinkers embrace visions of the future
and collaborate with our customers to bring them to life today.
Through the creative disruption of traditional thinking, we inspire
and deliver new products that produce significant value. Cubic
Austin - we build what s next.
We are looking for an experienced AI engineer/scientist to join our
growing team of reinforcement learning and machine learning
experts. The right candidate has experience and a passion for
bringing the latest theory, tools, frameworks and architectures
into production, online reinforcement learning solutions. The hire
will be responsible for expanding and optimizing our reinforcement
learning capabilities for government, commercial and internal AI/RL
projects. Our multiple DARPA contracts offer candidates the
opportunity and resources to build and expand the state-of-the-art
in AI/RL research.
ESSENTIAL JOB DUTIES AND RESPONSIBILITIES:
Develop custom AI/RL models and algorithms to apply the most recent
research, tools and frameworks.
Work with subject matter experts throughout the organization to
identify and drive opportunities for innovative solutions.
Coordinate with different functional teams to implement solutions
and monitor outcomes.
Communicate results and techniques to senior management, customers
and high-profile stakeholders
Support architecture design and implementation
Strong background in industry applied and production AI
Strong background in Markov Decision Process theory: partially
observable MDP, Q-learning, etc.
Experience with modern deep learning frameworks: RLlib, PyTorch,
Experience using statistical computer languages: Python, Julia, R,
Strong background in applied statistics and stochastic processes,
linear algebra, applied optimization
Experience with distributed data/computing tools: Ray, Map/Reduce,
Experience with DevOps, source control (git) and performance
Experience with the design or use of production pipelines for
online learning and reinforcement learning
A drive to learn and master new technologies and techniques.
Minimum 5-7 years of experience in AI/RL
Master s or PHD in quantitative field: Statistics, Mathematics,
Computer Science, Electrical Engineering, Engineering Statistics,
Systems Engineering, Applied Mathematics, Physics, etc.
Experience in any of the following: applied graph theory, causal
analysis, probabilistic programming, deep Bayesian networks, NLP,
transfer learning, recommender systems
This job is at a cleared facility, we can only hire US persons at
this site. A US person is either a US citizen or a Permanent
resident. Must be able to obtain and maintain a security
The description provided above is not intended to be an exhaustive
list of all job duties, responsibilities and requirements. Duties,
responsibilities and requirements may change over time and
according to business need.
Cubic is committed to hiring and retaining a diverse workforce. We
are proud to be an Equal Opportunity/Affirmative Action-Employer,
We are committed to ensuring a workplace free of discrimination
based on race, color, religion, age, disability, genetic
information, sex, sexual orientation, gender identity, or national
origin, military or veteran status, and any other basis protected
by applicable law
Keywords: Cubic Corporation, Austin , Principal Artificial Intelligence Engineer, Engineering , Austin, Texas
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