**Company: Abridge Job Description Summary: Candidates for the research scientist position at Abridge should have experience in machine learning and natural language processing, technical mastery, a strong research background, and a graduate degree in a related field. They should also have high-impact publications at AI conferences, real-world impact through open source contributions, and strong programming skills in deep learning libraries. The job involves working with a team of professionals to advance medical NLP, contribute to research, develop state-of-the-art methods, and actively engage with clinicians for feedback and innovation. The ideal candidate should be results-oriented in the face of ambiguous problems. Job Description: Requirements • We’re currently looking to hire research scientists with experience in machine learning and natural language processing, • The ideal candidate will bring technical mastery, fluency with foundation models, genuine interest in the medical domain, and strong critical thinking skills to the role, • Strong research background, as demonstrated through papers and a graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, Mathematics, or equivalent experience, • High-impact publications at peer-reviewed AI conferences (e.g. *CL, NeurIPS, ICML, ICLR), • Significant real-world impact, as demonstrated through open source contributions and deployed technology, • Strong programming skills with proven experience crafting, prototyping, and delivering machine learning solutions into production, • Experience with deep learning libraries (e.g. PyTorch, Jax, Tensorflow) and platforms, multi-GPU training, and statistical analyses of observational and experimental… data What the job involves • We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense, • From transcribing medical conversations to delivering key takeaways, our trailblazing work in machine learning research makes the Abridge experience possible, • At Abridge, all of our ML work has a strong research component, and all of our research scientists contribute directly to real products that impact the lives of doctors, • Advance the state of the art in medical NLP, in areas including conversation summarization, evidence extraction, outcome prediction, evaluation techniques, and experimentation, • Actively contribute to the wider research community by sharing and publishing original research, • Help to define important problems, identify appropriate baselines, develop state-of-the-art methods, and ship them into production, • Dial deeply into real-time feedback from clinicians to guide further refinements and innovations, • Be results-oriented in the face of ambiguous problems and uncertain outcomes
Company:Abridge
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Level of experience (years):Senior (5+ years of experience)
“Fine-tuning” means adapting an existing machine learning model for specific tasks or use cases. In this post I’m going to walk you through how you can fine tune a large language model for sentence similarity using some hand annotated test data. This example is in the psychology domain. You need training data consisting of pairs of sentences, and a “ground truth” of how similar you want those sentences to be when you train your custom sentence similarity model.
Hire an NLP developer and untangle the power of natural language in your projects The world is buzzing with the possibilities of natural language processing (NLP). From chatbots that understand your needs to algorithms that analyse mountains of text data, NLP is revolutionising industries across the board. But harnessing this power requires the right expertise. That’s where finding the perfect NLP developer comes in. Post a job in NLP on naturallanguageprocessing.
Natural language processing What is natural language processing? Natural language processing, or NLP, is a field of artificial intelligence that focuses on the interaction between computers and humans using natural language. NLP is a branch of AI but is really a mixture of disciplines such as linguistics, computer science, and engineering. There are a number of approaches to NLP, ranging from rule-based modelling of human language to statistical methods. Common uses of NLP include speech recognition systems, the voice assistants available on smartphones, and chatbots.
