Jubil ID: 97

Company: Emory University

Location: Atlanta, GA

Description:
Team Name:Job Title:Data Scientist
Reinforcement LearningRequisition ID:R024633Job Description:It takes a Blizzard to make a Blizzard game
and that level of effort doesn’t end once the game is released; we support our games for years after they’re in the hands of gamers world-wide. Global Insights works closely with the game development
business
and internal service teams at Blizzard

Qualifications:
Master’s or PhD in computer science and machine learning related field with a specialization in single-agent and multi-agent RL in games or robotics Hands-on applied or research experience with one or more of the following: reinforcement learning
imitation learning
optimization
supervised/unsupervised learning
etc Proficient in Python and experienced in at least one other higher-level programming language like Java
C++
C#
Scala
etc

Benefits:
The Global Insights team prides in its dedication to fostering a healthy work-life balance
promoting mentorship at every level
and prioritizing mental and physical wellbeing We offer a robust mentorship program for career development and provides opportunities to build rapport among team members We offer generous benefits and perks with an eye on providing true work / life balance We provide a suite of benefits that promote physical
emotional and financial well-being for ‘Every World’ - we’ve got our employees covered! Medical
dental
vision
health savings account or health reimbursement account
healthcare spending accounts
dependent care spending accounts
life and AD&D insurance
disability insurance; 401(k) with Company match
tuition reimbursement
charitable donation matching; Paid holidays and vacation
paid sick time
floating holidays
compassion and bereavement leaves
parental leave; Mental health & wellbeing programs
fitness programs
free and discounted games
and a variety of other voluntary benefit programs like supplemental life & disability
legal service
ID protection
rental insurance
and others; If the Company requires that you move geographic locations for the job
then you may also be eligible for relocation assistance In the U.S.
the standard base pay range for this role is $77
500.00 - $143
376.00 Annual These values reflect the expected base pay range of new hires across all U.S. locations In addition to a competitive base pay
employees in this role may be eligible for incentive compensation Incentive compensation is not guaranteed

Responsibilities:
The ideal candidate is passionate about applying machine learning
specifically reinforcement learning
to gameplay AI and has experience developing and deploying the solutions to real-world problems Research and develop state-of-the-art machine learning solutions for reinforcement learning based gameplay AI to enhance game development and gameplay objectives Work closely with machine learning engineers and software engineers to deploy
automate
and maintain models seamlessly on production systems Communicate about machine learning models and products to both technical and non-technical audiences