Laura is an AI/ML researcher at MosaicML, a startup making AI training more efficient. Before that, she spent a few years at a couple of well-funded AI hardware startups. She was an early employee at Groq, founded by Google TPU engineers, and a Principal Engineer at Sambanova Systems, working on training ML models on novel architectures. She is a venture scout for Grishin Robotics and volunteers with Girls Who Code. She earned her Bachelor’s degree in Math from Reed College and her Ph.D in computer science from New York University.
VIDEOS
VIDEO
Unique Paths to Machine Learning Careers
In this session, Julie Choi (Chief Growth Officer at MosaicML) and Laura Florescu (Machine Learning Researcher at MosaicML) share their unique career journeys in machine learning.
They talk about how to get started if you don't currently have any ML or AI experience and are interested in ML as a career path. Laura is working on accelerating neural network training with research in natural language processing and computer vision, combining multiple algorithms to train models faster.
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VIDEO
Girl Geek X MosaicML Lightning Talks
Over 120 girl geeks joined networking and lightning talks from women working in machine learning at @mosaicml6047, Meta AI, Atomwise, Salesforce Research, OpenAI, Amazon, and Hala Systems.
Speakers discuss efficient machine learning training with MosaicML, reinforcement learning, ML-based drug discovery with AtomNet, evaluating recommendation robustness with RGRecSys, turning generative models into products at OpenAI, seeking the bigger picture at AWS, and building high performance diverse teams.
This sold-out Girl Geek X Dinner was recorded on May 12, 2022 at MosaicML's Palo Alto office in Playground Global. MosaicML is hiring!
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