Liveblocks Pty Ltd
Multimodal Large Language Models AI Engineer
Liveblocks Pty Ltd, California, Missouri, United States, 65018
Multimodal Large Language Models AI Engineer
Job DescriptionSan Francisco based AI for meetings startup is looking for experienced backend engineers. We’re developing a next generation real-time video communications platform, working at the cutting edge of real-time communications and human centered artificial intelligence. If you’re interested in making a large impact and are comfortable working in a fast paced, self-supervised environment, come join us!As a senior AI Engineer, you will be working in a fast-paced environment which needs a mindset of a startup and an entrepreneur that is not hesitant to constantly shift gears, test and learn.Key QualificationsMS or Ph.D in Computer Science, Electrical Engineering or related field with focus on machine learning, computer vision, speech processing, natural language understanding, human machine interaction, or similar.3+ years of work experience in designing and developing enterprise-scale Large Language Model solutions in one or more of: Named Entity Recognition, Document Classification, Document Summarization, Topic Modeling, Dialog Systems, Sentiment Analysis.3+ years of work experience with transformer based language modelsKnowledge of GPT-X, HuggingFace TransformersExperience with fine-tuning and model optimizations (for inference speed / cost)Experience with Vision Based TransformersKnowledge of MLOps stacks such as GCP, Docker, REST APIs, scalingExperience in setting up supervised & unsupervised learning cloud NLP models including data cleaning, data analytics, feature creation, model selection & ensemble methods, performance metrics & visualization, and distillation.Fluency in programming languages including but not limited to Python.Proficiency in PyTorch and TensorFlow.Consistent track record of researching/inventing and shipping advanced machine learning algorithms based on NLP.Outstanding communication and interpersonal skills with ability to work well in cross functional teams.Published research on signal processing NLP, NLU or multimodal AI is a plus.Being a committer or a contributor to an open source project is a plus.ResponsibilitiesResearch, design and implementation of machine learning/deep learning algorithms to support a real-time NLP data analytics platform for summarization, sentiment analysis, and topic discovery.Benchmarking and fine tuning of machine learning/deep learning algorithmsOptimizing algorithms for real time in the cloud.Support algorithm integration into Headroom product.Stay up to date with tech, prototype with and learn new technologies, proactive in technology communities.Deliver on time with a high bar on quality of research, innovation and engineering.Develop & maintain NLP Pipeline for Document Data Extraction semantics and sentiment processing and understanding.Create products that provide a great user experience along with high performance, security, quality, and stability.TeamAndrew Rabinovich - Co-Founder & CEOJon Pappas - Head of ProductChloe RobertsonKarim Rahemtulla - Customer SuccessLuis Orlando Carrión Ortiz - Director of EngineeringWarren Van Winckel - Director of EngineeringJosh Runge - Frontend Software EngineerPedro Garzon - Senior Machine Learning EngineerIvy Chang - Lead UX/UI DesignerZachary Gilbert - Senior Software EngineerSound interesting? Apply!
The Headroom team would love to hear from you.
#J-18808-Ljbffr
Job DescriptionSan Francisco based AI for meetings startup is looking for experienced backend engineers. We’re developing a next generation real-time video communications platform, working at the cutting edge of real-time communications and human centered artificial intelligence. If you’re interested in making a large impact and are comfortable working in a fast paced, self-supervised environment, come join us!As a senior AI Engineer, you will be working in a fast-paced environment which needs a mindset of a startup and an entrepreneur that is not hesitant to constantly shift gears, test and learn.Key QualificationsMS or Ph.D in Computer Science, Electrical Engineering or related field with focus on machine learning, computer vision, speech processing, natural language understanding, human machine interaction, or similar.3+ years of work experience in designing and developing enterprise-scale Large Language Model solutions in one or more of: Named Entity Recognition, Document Classification, Document Summarization, Topic Modeling, Dialog Systems, Sentiment Analysis.3+ years of work experience with transformer based language modelsKnowledge of GPT-X, HuggingFace TransformersExperience with fine-tuning and model optimizations (for inference speed / cost)Experience with Vision Based TransformersKnowledge of MLOps stacks such as GCP, Docker, REST APIs, scalingExperience in setting up supervised & unsupervised learning cloud NLP models including data cleaning, data analytics, feature creation, model selection & ensemble methods, performance metrics & visualization, and distillation.Fluency in programming languages including but not limited to Python.Proficiency in PyTorch and TensorFlow.Consistent track record of researching/inventing and shipping advanced machine learning algorithms based on NLP.Outstanding communication and interpersonal skills with ability to work well in cross functional teams.Published research on signal processing NLP, NLU or multimodal AI is a plus.Being a committer or a contributor to an open source project is a plus.ResponsibilitiesResearch, design and implementation of machine learning/deep learning algorithms to support a real-time NLP data analytics platform for summarization, sentiment analysis, and topic discovery.Benchmarking and fine tuning of machine learning/deep learning algorithmsOptimizing algorithms for real time in the cloud.Support algorithm integration into Headroom product.Stay up to date with tech, prototype with and learn new technologies, proactive in technology communities.Deliver on time with a high bar on quality of research, innovation and engineering.Develop & maintain NLP Pipeline for Document Data Extraction semantics and sentiment processing and understanding.Create products that provide a great user experience along with high performance, security, quality, and stability.TeamAndrew Rabinovich - Co-Founder & CEOJon Pappas - Head of ProductChloe RobertsonKarim Rahemtulla - Customer SuccessLuis Orlando Carrión Ortiz - Director of EngineeringWarren Van Winckel - Director of EngineeringJosh Runge - Frontend Software EngineerPedro Garzon - Senior Machine Learning EngineerIvy Chang - Lead UX/UI DesignerZachary Gilbert - Senior Software EngineerSound interesting? Apply!
The Headroom team would love to hear from you.
#J-18808-Ljbffr