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Design and lead the development of infrastructure for AI algorithms focusing on computer vision and NLP for medical imaging. Collaborate with cross-functional teams to transform AI innovation into scalable, high-impact production products.
Requirements
Requires a degree in Computer Science or Engineering with over 7 years of experience in developing large-scale production systems. Proficiency in Python and deep learning frameworks is essential, along with strong software architecture skills.
Full job description
About Aidoc
Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions.
Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need.
About this role
This is a Senior AI Software Engineer role within Aidoc’s AI Engineering group, focused on building and scaling the infrastructure behind advanced AI solutions in computer vision and NLP for medical imaging. The role combines hands-on software development, technical leadership, and close collaboration with cross-functional teams to transform AI innovation into scalable, high-impact products.
Responsibilities
Design, develop and lead SW development of infrastructure for innovative AI algorithms for computer vision and NLP in the context of medical imaging.
Collaborate with cross-functional teams, including researchers and product managers, to drive the development of new AI products and features.
Work in a unique professional culture applying the full range of software engineering capabilities in the core parts of the A.I. systems
Develop and maintain high-quality, scalable, and efficient code.
Take initiative in exploring and adopting of new technological advances in all relevant domains (for example, scalable cloud based systems, DL and CV SW frameworks, Large scale ML systems)
Requirements
BA/BSc/MSc in Computer Science, Engineering or a related field.
7+ years of experience in developing large scale production systems – including architecture design, research, development and testing.
Deep understanding of Computer Science fundamentals – object-oriented design, code optimization, and complexity
Passion for building generic and robust software architecture
Passion for elegant and effective technological solutions, and a love for clean code
Strong experience with Python and advantage to deep learning frameworks such as TensorFlow, PyTorch, etc.
Strong ability to lead end-to-end development processes
Advantage: Experience in developing AI and machine learning solutions, with a focus on computer vision and NLP.
Strong communication and collaboration skills, with the ability to work effectively with a cross-functional team
Working at Aidoc
Our Perks:
Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives)
We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees.
Amazing and healthy breakfasts and lunches prepared daily by our personal chef!
Stocked up kitchen & meal card
Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes.
Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.
Related keywords
AIComputer VisionNLPMedical ImagingPythonTensorFlowPyTorchDeep LearningCloud SystemsMachine LearningSoftware ArchitectureObject-Oriented DesignFDA-cleared CADaiOSScalable Systems
Empowering health systems to improve patient outcomes and operations with enterprise-grade healthcare AI.
Industry
Hospitals and Health Care
Company size
201-500 employees
Founded
2016
Headquarters
New York, NY
LinkedIn followers
60,983
Total funding
$564M
Aidoc is a pioneering force in clinical AI. We focus on aiding and empowering healthcare teams to optimize patient outcomes, which results in improved economic value and clinical outcomes. Our clinically proven AI solutions eliminate silos, increase efficiencies, and improve outcomes by delivering critical information when and where care teams need it leading to immediate collective action. Built on Aidoc’s exclusive aiOS™, we analyze and aggregate medical data to enable care teams to operationalize the unexpected and work seamlessly with a continued focus on the patient. Aidoc AI is always on, running in the background to change the foreground.
For safety information on Aidoc’s products, please visit our safety and compliance page on our website.
Offices: 142 W 57th St, New York, NY 10019, US
Medical imagingRadiologyCardiologyNeurologyPulmonologyneurosurgerycardiovascular surgeryneuroradiologystroke careinterventional radiology
How many Data & Analytics jobs are open in Tel-Aviv, Israel right now?
There are currently 541 open data & analytics positions in Tel-Aviv, Israel listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Tel-Aviv, Israel?
Companies currently hiring include Check Point Software, Aidoc, Guardio, Amazon, EY, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Tel-Aviv, Israel?
Yes — 129 of the 541 open data & analytics positions offer remote or hybrid work (6 remote, 123 hybrid).
How do I apply for Data & Analytics jobs in Tel-Aviv, Israel?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.