Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, disability status, or any other characteristic protected by applicable law. Pay Rate: $50-$53 To apply, visit https://northeastern.wd1.myworkdayjobs.com/en-US/careers/job/Boston-MA-Main-Campus/Research-Program
-
awareness, hands-on activities. 10% 3 Recruitment & publicity of program services. Distribute and collect METS student applications, share METS informational flyers and program event calendars with current
-
: Education & Experience: Graduate degree (Masters/PhD) in Computer Science, Engineering, Mathematics, Statistics, or similar disciplines and two or more years of professional experience, or can convincingly
-
. 10% 3 Recruitment & publicity of program services. Distribute and collect METS student applications, share METS informational flyers and program event calendars with current and prospective
-
Computer Science, Engineering, Applied Mathematics, Statistics, or a closely related field, with a focus on Deep Learning or Generative AI. Minimum of 5 years of industry experience in designing, developing, and
-
intelligence (AI). The successful candidate will join Prof. Francesco Restuccia’s research team (website: https://mentis.info) in Boston, Massachusetts, and work on cutting-edge topics in resilient AI, including
-
for the successful delivery of a significant portfolio of Northeastern signature cohort-based programs for first-year students, such as the first-semester-abroad N.U.in Program and the first-year-away New York City
-
of performance to assist with closeout process. Work in collaboration with the Process and Audit Manager on all audits, assessments and desk reviews Distribute metrics reports to NU-RES Finance
-
distribution of finished projects. He/she/they are expected to deliver the highest quality of work and show a great amount of flexibility and ability to multitask, change direction on a whim, and work at a high
-
for performance, cost-efficiency, and low-latency inference Develop distributed model training and inference architectures leveraging GPU-based compute resources Implement server-less and containerized solutions