Join Viz.ai as a Principal Algorithm Developer to leverage AI in transforming medical text analysis and clinical decision support.
Posted by employer 2 days ago
First seen on Joblaze 20 hours ago
Last verified on the company career page 20 hours ago
Skills & Technologies
What you'll build
Must have
Nice to have
Practical constraints
AI in the day-to-day
Research, develop and integrate Large Language Models (LLMs) to extract insights from medical texts.
Requirements
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
The Principal Algorithm Developer at Viz.ai focuses on designing and implementing AI algorithms to address real-world challenges in clinical settings, particularly through the use of natural language processing and large language models. Proficiency in Python, deep learning frameworks, and experience with medical data are essential for this role. This position is well-suited for a senior professional with a strong background in algorithm development and leadership skills, capable of collaborating with cross-functional teams. The role is part of a mission-driven organization that emphasizes innovation and teamwork.
Joblaze insights
Quick facts
From the original posting
The Role:
We are looking for a Principal Algorithm Developer with experience in NLP and LLMs, who is a highly motivated, collaborative, and results-driven individual who can work both independently and as part of a multidisciplinary team. The ideal candidate has a strong “can-do” attitude, excellent problem-solving skills, leadership skills, and a passion for leveraging AI to solve meaningful challenges in text analysis in the medical domain.
As part of the AI team you will:
Design, develop, implement, and evaluate robust, scalable AI algorithms and agentic workflows & infrastructure, tailored to real-world challenges in clinical settings.
Prepare, process, and analyze complex medical data to support algorithm development and validation.
Ensure the reliability, performance, and accuracy of algorithms in production, including troubleshooting, testing, monitoring, and continuous improvement.
Collaborate closely with Product Managers and Clinical Specialists to translate clinical and business needs into data-driven solutions.
Research, develop and integrate Large Language Models (LLMs) to extract insights from medical texts and develop intelligent agents for optimized clinical decision support.
Lead development and drive technical decisions that impact your technical domain and related systems across the organization.
Mentor and develop algorithm developers through technical guidance & design reviews.
Stay up to date with cutting-edge advancements in GenAI, LLMs, and Deep Learning.
Organize and actively participate in seminars, book clubs, and conferences.
Main Technical Stack:
NLP/LLMs: Pydantic, Hugging Face Transformers, spaCy, Amazon Bedrock
Infrastructure: AWS, Docker
Programming Languages: Python
Deep Learning Frameworks: TensorFlow, Keras, Pytorch
Our Core Values:
Patients First; Time is Brain; Quality Squared; Kindness Wins; I am Accountable.
Required Qualifications:
Minimum of 10 years of hands-on experience in algorithm development using Python
A strong foundation in software engineering principles and clean, efficient coding practices.
Extensive experience with NLP, LLMs, RAG, prompt engineering, and agentic workflows
Experience in the deployment, delivery, and maintenance of AI algorithms in real-world production environments
Experience in developing and deploying deep learning models (CNNs, ViTs, VLMs) for medical data classification, segmentation, and object detection tasks.
Strong interpersonal and leadership skills; a team player who can work effectively in a cross-functional environment involving product managers, clinicians, and fellow engineers.
Preferred Qualifications:
Experience with AWS
Experience in the medical domain
M.Sc. or higher in Computer Science or a related scientific discipline.
Our office in Tel-Aviv is located in Menachem Begin 150, within a walking distance from Arlozorov and Ha'Shalom train stations.
We are working hybrid and our in-office recommendation policy is two days a week.
If you are looking to make an impact, we are mission-driven and are making a difference in peoples’ lives every day.
#LI: GH1
#LI: remote
Standard company text repeated across Viz.ai's postings is omitted here.