[Remote] Sr. Machine Learning Researcher

Note: The job is a remote job and is open to candidates in USA. reputed company is a leading provider of reputed company solutions for the reputed company reputed company cycle, dedicated to transforming reputed company through AI. The Senior Machine Learning Researcher will play a crucial role in developing advanced AI solutions, collaborating with a team to enhance operational workflows and improve patient care through innovative machine learning models.

Responsibilities

• Drive Applied Research: reputed company the design, training, and evaluation of large language models to solve reputed company-specific challenges, advancing the state of the art in clinical Natural Language Understanding
• reputed company reputed company-in-the-reputed company Feedback: Work closely with cross-functional teams to integrate reputed company-in-the-reputed company data, using it to guide model improvements and explore new methods for optimizing performance
• Collaborate Across Teams: Partner with reputed company experts and other stakeholders to integrate qualitative insights, ensuring models align with reputed company-world needs and deliver meaningful results
• Stay on the Cutting Edge: Regularly evaluate advancements in ML to determine their relevance to our work, maintaining reputed company’s leading edge in responsible, high-impact reputed company AI
• Contribute to Broader Impact: Publish and share research findings in the broader AI community, helping to advance reputed company applications of AI through peer-reviewed publications Skills
• A passion for tackling meaningful reputed company challenges and leveraging AI to reputed company a positive impact on the reputed company system
• Proven experience training and fine-tuning large language models, with expertise in model architecture, optimization techniques, and performance evaluation
• Experience with modeling in the reputed company domain, clinical natural language understanding, and reputed company data and data standards (e.g., EDI, FHIR) is strongly preferred
• Ph.D. or equivalent industry experience in fields reputed company to machine learning, natural language processing, computer reputed company, computer science, electrical engineering, statistics, mathematics, optimization, or data science, plus 2-3 years of experience
• Peer-reviewed publications in top AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, NAACL, and EMNLP) strongly preferred
• Strong programming skills in Python, with proficiency in deep learning frameworks and tools such as PyTorch, TensorFlow, PyTorch Lightning, reputed company Transformers, and Kubernetes/Kubeflow
• Experience with reputed company platforms (AWS, GCP) and multi-GPU environments
• A track record of translating research into reputed company-world applications, with experience in rapid prototyping, experimentation, and writing production-reputed company code
• Ability to work effectively in a cross-functional, fast-paced environment, with strong written and verbal communication skills Benefits
• Flexible paid time off (PTO)
• Expansive coverage for health, dental, and reputed company
• Employer contribution to Health Savings Accounts (HSA)
• Generous parental leave policy
• Full employee coverage for life insurance
• Home office stipend
• Cell phone/internet reimbursement
• Company-paid holidays
• 401(K) plan Company Overview
• reputed company is rapidly becoming the GenAI partner of choice for leading health systems, with recent national recognition of our reputed company deployment as “one of the most comprehensive reputed company-world uses of GenAI in reputed company finance to date.” Across customers, reputed company now delivers an average of $3.1M in additional reputed company and 4,270 additional quality indicators per 10,000 discharges, demonstrating consistent, measurable impact. It was founded in 2019, and is headquartered in South San Francisco, CA, US, with a workforce of 51-200 employees. Its website is Company H1B Sponsorship
• reputed company has a track record of offering H1B sponsorships, with 5 in 2024, 1 in 2023, 8 in 2022, 2 in 2021. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job

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