Jobright.ai
Machine Learning Scientist, NLP (All Levels), New Grad
Jobright.ai, San Francisco, California, United States, 94199
Machine Learning Scientist, NLP (All Levels), New Grad
Join to apply for the
Machine Learning Scientist, NLP (All Levels), New Grad
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Jobright.ai Machine Learning Scientist, NLP (All Levels), New Grad
Join to apply for the
Machine Learning Scientist, NLP (All Levels), New Grad
role at
Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Abridge is a company dedicated to enhancing healthcare understanding through AI-powered solutions. They are seeking a Machine Learning Scientist specializing in Natural Language Processing to advance medical NLP research, contribute to the research community, and develop innovative methods for real-time clinical documentation. Responsibilities: • 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 Qualifications: Required: • 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. • Must be willing to work from our SF office at least 3x per week. Company: Abridge is an AI-driven platform that transforms patient-clinician conversations into structured clinical notes for healthcare industries. Founded in 2018, the company is headquartered in Pittsburgh, Pennsylvania, USA, with a team of 201-500 employees. The company is currently Late Stage. Abridge has a track record of offering H1B sponsorships. Seniority level
Seniority level Entry level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for “Machine Learning Researcher” roles.
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Join to apply for the
Machine Learning Scientist, NLP (All Levels), New Grad
role at
Jobright.ai Machine Learning Scientist, NLP (All Levels), New Grad
Join to apply for the
Machine Learning Scientist, NLP (All Levels), New Grad
role at
Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Abridge is a company dedicated to enhancing healthcare understanding through AI-powered solutions. They are seeking a Machine Learning Scientist specializing in Natural Language Processing to advance medical NLP research, contribute to the research community, and develop innovative methods for real-time clinical documentation. Responsibilities: • 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 Qualifications: Required: • 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. • Must be willing to work from our SF office at least 3x per week. Company: Abridge is an AI-driven platform that transforms patient-clinician conversations into structured clinical notes for healthcare industries. Founded in 2018, the company is headquartered in Pittsburgh, Pennsylvania, USA, with a team of 201-500 employees. The company is currently Late Stage. Abridge has a track record of offering H1B sponsorships. Seniority level
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Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for “Machine Learning Researcher” roles.
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