Qualcomm’s Connectivity functional verification team is looking for an intern to assist in the pre-silicon verification of high performance RFICs for WLAN/BT/UWB radio, PMU and personal navigation applications.
Compensation
$54,600.00 - $103,350.00
Responsibilities
Write behavioral Systems Verilog models of analog blocks.
Develop and maintain functional verification plans/coverages.
Writing functional verification tests for block level and radio chip level.
Developing and debugging behavioral models for event driven simulation.
You will be working with the fine tuning team on making state-of-the-art generative models and running autonomous work streams under the supervision of experienced scientists.
Locations (2)
Palo Alto, California, United States
Montreal, Quebec, Canada
Responsibilities
Explore state-of-the-art LLM algorithms for fine tuning LLMs, with the supervision of top level scientists.
Assist in the design and implementation of machine learning models and algorithms.
Conduct research on the latest advancements in natural language processing and LLMs.
Contribute to the development and optimization of our LLM systems.
Collaborate with cross-functional teams to integrate LLM technologies into various applications.
Requirements
Currently doing a Master or PhD at a tier 1 engineering schools / Universities
Nice to have: experience in fine tuning LLMs
Nice to have: experience used complex HPC infrastructure with full autonomy
Develops, implements, and optimizes credit risk decision-making strategies for personal financing products using machine learning and predictive modelling.
Compensation
Competitive salary and annual bonus
Responsibilities
Optimize and develop decision-making strategies for credit management and prepare associated documentation
Apply your knowledge of machine learning and predictive modelling to maximize financial impact and support credit risk strategies
Participate in complex data analyses (SAS, Python), interpret results, build replicators and monitor how our strategies perform once in production
Monitor financing products and conduct quarterly performance reviews
Contribute to various projects, assignments and data analyses in your area of expertise and make recommendations aligned with strategic priorities
Senior Data Scientist II in Akamai's Global Web Security group, focusing on developing machine learning models to enhance security product detection and performance.
Responsibilities
Analyze large data sets to differentiate legitimate and fraud traffic
Develop and implement detection rules and models to improve security product accuracy
Improve data collection, manipulation, presentation, and analysis processes in production environments
Troubleshoot production issues in a distributed environment
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