AI Software Tech Lead, ML Platform at Aidoc

Tel-Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

11 Mar, 26

Salary

0.0

Posted On

11 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Systems, Software Engineering, Python, ML Frameworks, System Design, Distributed Systems, Performance Optimization, Cloud Environments, MLOps, Communication, Collaboration, Technical Leadership, Mentorship, Project Management, Technical Decision Making, Continuous Learning

Industry

Hospitals and Health Care

Description

Aidoc is recruiting an AI Software Tech Lead in Tel Aviv. Join our team! About Aidoc Aidoc is a global leader in clinical AI, helping physicians quickly identify and diagnose urgent cases to improve patient outcomes. Our platform analyzes and aggregates medical data, enabling care teams to work seamlessly with a continued focus on the patient. Our solutions are used in over 2,000 hospitals worldwide, including leading U.S. health systems. Aidoc has raised over $350M from top-tier VCs and was named one of TIME’s 50 most genius companies. As an Aidocee, you’ll join a fast-paced, mission-driven culture where people care deeply about impact, collaboration, and product excellence. You’ll work on real, mission-critical medical architecture with a high level of independence and influence. We believe in building strong teams by supporting both professional growth and personal well-being—ensuring everyone feels appreciated, empowered, and part of something meaningful. About this role This is an AI Software Tech Lead role within Aidoc’s AI Engineering group - working side by side with Algo teams to build and evolve AI solutions that deliver real clinical impact. You’ll take ownership of the design and development of AI-driven systems, leading projects that turn advanced models into scalable, reliable components within Aidoc’s platform. The role is highly hands-on and combines technical excellence with leadership — guiding design decisions, mentoring engineers, and collaborating across Algo, Product, and Engineering to ensure alignment, robustness, and impact. Responsibilities Build and evolve the AI-specific infrastructure and components that enable robust, scalable model training and serving, working side by side with Algo teams to co-design interfaces, workflows, and deployment strategies Stay deeply hands-on, driving complex technical work while setting high standards for design, code quality, and execution Own project-level architecture and key technical decisions, ensuring sound design choices and smooth collaboration across teams Promote engineering excellence and mentorship, fostering maintainable systems, clean code practices, and continuous learning Communicate clearly and proactively throughout design and development—articulating goals, progress, and technical decisions to all relevant stakeholders Collaborate across Algo, Product, and Engineering to ensure technical alignment, clear interfaces, and cohesive delivery Continuously evaluate and adopt new tools or frameworks—from cloud infrastructure to orchestration and MLOps practices—that improve efficiency and long-term scalability. Requirements Master’s or Ph.D. in Computer Science, Engineering, or a related technical field, or equivalent practical experience 7+ years of software engineering experience, demonstrating technical ownership of complex systems and strong end-to-end execution. Proven experience designing and delivering AI systems or components—from architecture to deployment—with a focus on robustness, efficiency, and maintainability Proven experience leading others down a technical path, providing value to complex projects by providing insight and experience driven advice, seeing things others might not and engaging stakeholders collaboratively and productively Strong proficiency in Python and familiarity with modern ML/DL frameworks (e.g., PyTorch, TensorFlow), with experience building or supporting systems that incorporate ML/DL models Solid foundation in computer science fundamentals, including system design, distributed systems, and performance optimization Familiarity with cloud and MLOps environments (e.g., Docker, Kubernetes, or model-serving frameworks Excellent communication and collaboration skills, with the ability to align technical decisions across Algo, Product, and Engineering A proactive, ownership-driven mindset, combining curiosity, initiative, and attention to detail throughout design and development; experience in healthcare or medical imaging is a plus. 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 free 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. Amazing culture - collaborative, transparent & fun! Attractive compensation package & benefits

Responsibilities

The AI Software Tech Lead will build and evolve AI-specific infrastructure and components, collaborating closely with Algo teams. They will also own project-level architecture and promote engineering excellence through mentorship and clear communication.