Remote Jobs at Hippocratic AI

Candidates must have a Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or equivalent coursework/projects. Familiarity with Python is required, along with experience in LLM prompting through professional or personal use. Additionally, candidates should have exposure to working with databases and building simple RESTful APIs, along with a strong problem-solving mindset and eagerness to learn new technologies.

A valid nursing license in the practicing country is required. Fluency in both general and medical Japanese is essential, along with demonstrated experience working with Japanese-speaking patients, preferably in a clinical setting. Strong communication skills for conveying complex medical information clearly and effectively, and a keen eye for detail in identifying language and cultural nuances are also necessary.

Candidates must possess a PhD with at least 3 years of experience in Speech Recognition or a related field, or a Master's degree with 5 years of hands-on experience in Automatic Speech Recognition (ASR). Strong programming skills in Python and C++ are required, along with experience in designing and developing algorithms for accurate speech recognition. Familiarity with Linux/Unix command-line environments is essential, and candidates should have experience in preprocessing and curating large sp…

Candidates must possess a valid nursing license in their country of practice and be fluent in both general and medical Arabic and English. Prior experience working with patients who speak Arabic, preferably in a clinical setting, is required. Strong communication skills for conveying complex medical information and excellent attention to detail for identifying language and cultural nuances are essential. Preferred qualifications include cultural competence and familiarity with virtual communicat…

Candidates must have a Master's degree in Computer Science, Electrical Engineering, or a related field and at least 3 years of industry experience in NLP and machine learning, specifically focusing on large language models. Strong programming skills in Python are required, along with experience in deep learning frameworks such as PyTorch or TensorFlow. Candidates should also have experience with large-scale data processing, distributed computing, and training autoregressive language models like …

Candidates should have extensive experience in selling complex software solutions specifically to healthcare providers. A proven track record in new business acquisition and the ability to navigate complex sales cycles is essential. Strong relationship-building skills with C-suite executives and a deep understanding of healthcare organizations are required.

Candidates must possess a PhD in Computer Science, Electrical Engineering, or a related field, along with at least 5 years of industry experience in NLP and machine learning, particularly with Large Language Models (LLMs). Strong programming skills in Python are essential, as is experience with deep learning frameworks such as PyTorch or TensorFlow. Additionally, candidates should have experience in large-scale data processing and distributed computing, as well as training autoregressive languag…

Candidates should have a strong background in Site Reliability Engineering with experience in designing and implementing infrastructure automation and deployment pipelines. Proficiency in tools such as Terraform, Ansible, and Jenkins is required, along with expertise in cloud platforms like AWS, GCP, or Azure. A solid understanding of monitoring and logging systems, as well as security and compliance policies, is essential. Strong collaboration skills to work with cross-functional teams and prev…

Candidates must possess a Bachelor's or Master's degree in Computer Science, Business, Life Sciences, or a related field. A minimum of 5 years of experience in healthcare or pharmaceutical implementation, product management, or technical solutions roles is required.

Candidates should possess a Bachelor's or Master's degree in Computer Science, Business, or a related field. A minimum of 5 years of experience in healthcare implementation or product management is required, along with at least 5 years of experience in technical resource roles during product implementation.

Candidates should have a strong background in healthcare technology and experience in solutions architecture, particularly related to payor integrations. A deep understanding of claims processing, coverage determinations, and population health initiatives is essential. Proven ability to collaborate with cross-functional teams and excellent communication skills are required.

Candidates should have a proven track record in account management or sales, preferably in a technology or healthcare-related field. Strong communication and interpersonal skills are essential, along with experience in managing strategic accounts and understanding client needs. Proficiency in using CRM tools like Hubspot is required, and familiarity with sales processes and reporting is preferred.

- Extensive hands-on experience with state-of-the-art inference optimization techniques - A track record of deploying efficient, scalable LLM systems in production environments - 2+ years of experience optimizing LLM inference systems at scale - Proven expertise with distributed serving architectures for large language models - Hands-on experience implementing quantization techniques for transformer models - Strong understanding of modern inference optimization methods, including speculative dec…

- 5+ years in a technical or semi-technical field (e.g., engineering, analytics, data science, product management) - Demonstrated product sense and intuition for conversation design - Proficiency writing simple scripts in Python - Familiarity with basic principles of machine learning, conversational AI, and Large Language Models

- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field; PhD is a plus - 7+ years of industry experience building and deploying ML systems, ideally with focus on LLMs or deep learning - Strong software engineering skills and experience developing in Python - Deep experience with ML frameworks like PyTorch or TensorFlow - Familiarity with distributed training frameworks (e.g., DeepSpeed, FSDP, Horovod) - Proven experience designing, implementing, and scaling…