Introduction
This blog contains prospective job / Internship / Collaboration opportunities in different ML and AI research group. I will most summarize their necessary skill required by the company and the name of their corresponding groups. In some cases I will explore and share the groups work to get more into it. Well, lets start. They are mostly selected and chose from the linkedin, glassdoor advertisement and job openings.
Disclaimer: I will only note the parts interesting to me from a particular research group. Definitely there are more opportunities in the names I will put in my radar.
Research Sorrounding Links (updated frequent):
Intel
Cognitive computing Research group:
Options: AI, machine cognition, Computer vision, NLP
Qual: Python, Linux, DL frameworks, Attention based NLP model, statistical learning theory, RL, Knowledge graphs, Knowledge representation, Publication, Docker, Git.
Note: Relatively new labs since mid 2020. [May need check time to time for the updates]
Data and Applied sciences
Options: apply ML with Microsoft devices,
Qual: Ph. D. student., SQL, Hadoop, python, Perl, C#, statistical learning,
Brain-inspired Computing Lab
Design and implement algo inspired from congitive and systems neuroscience MXNet.
Allen Institute for AI
Website. Go to the research tab to find their papers and resent projects.
Note: I see their frequent job openings.
Microsoft Research Intern
Topological ML
Qual: Two reference papers! Research capabilities.
Note: Very frequent openings
JD.ID
Options: Recommendation system and ML
Qual: Python, DL frameworks, Publication
Note: Why they put on that the employee needs to communicate research group in China?!
Baidu research
Perception / Sensor Calibration
Options: ML / DL visual recognition task.
Qual: python, C++, pytorch, tf, caffe(2), MXNet, CUDA/OpenCL, Lidar, camera, radar
Apple
ML Researcher, Machine Intelligence
AI/ML pittsburgh, PA, US.
Qual: NLP, Dynet, pytorch, tf, FairSeq, Marian, OpenNMT, Sockeye, NLP toolkits.
Object Tracking
Perception
Amazon
website Speech and Language technology ASR, MT, NLU, ML, CV Human language technology
Qual: Experience with NLP/MT, Deep learning MT/NLP, tensorflow, pytorch, MxNet, AWS technology stack, pyspark,
ML, multi-object optimization,
January.ai
ML interns
Norfolk Southern Corporation
end2end ML, SQL, DL architecture familiarity