Senior AI Engineer

About Immunai:

Immunai is an engineering-first platform company aiming to improve therapeutic decision-making throughout the drug discovery and development process. We are mapping the immune system at unprecedented scale and granularity and applying machine learning to this massive clinico-immune database, in order to generate novel insights into disease pathology for our partners - pharma companies and research institutes. We provide a comprehensive, end-to-end solution - from data generation and curation to therapeutics development, that continuously supports and validates the capabilities of our platform.

As drug development is becoming increasingly inefficient, our ultimate goal is to help bring breakthrough medicines to patients as quickly and successfully as possible.

Immunai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

About the role:

We are looking for an AI Engineer to play a central role in building, evaluating, and advancing Immunai’s AI models. You will own and evolve Immunai’s benchmarking and evaluation capabilities for foundation models and multimodal systems, while also working closely with modeling teams to support model development, iteration, and validation. This role sits at the intersection of software engineering, model understanding, and applied AI, with broad influence on how models are built, compared, and improved across the organization.

Location: Ramat Gan, Israel (hybrid model)

What will you do?

• Own & Evolve Benchmarking – Design, build, and maintain Immunai’s benchmarking suite for foundation models and multimodal AI systems.
• Define Core Abstractions – Create clean, extensible abstractions and APIs for datasets, tasks, models, metrics, and evaluation workflows.
• Develop Metrics & Evaluations – Implement metrics that capture predictive performance, biological relevance, and multimodal alignment.
• Support Model Development – Work closely with AI scientists and data scientists to integrate new models, tweak architectures, and enable rapid, fair iteration.
• Bring in New Models & Baselines – Add external and internal models to benchmarks and ensure meaningful comparisons.
• Explore Data When Needed – Dive into data and results to debug evaluations, understand model behavior, and unblock modeling work.
• Enable Rigor & Reproducibility – Ensure evaluations are consistent, well-versioned, and trustworthy over time.
  
  

• BSc, MSc, or PhD in Computer Science, Software Engineering, or a related field
• Strong software engineering skills with experience designing maintainable, modular systems
• Hands-on experience working with ML models and evaluation pipelines
• Proficiency in Python and modern ML ecosystems
• Ability to read, modify, and debug deep learning models
• Experience with benchmarks, metrics, or evaluation frameworks — preferred
• Familiarity with foundation models or multimodal learning — preferred
• Comfort navigating complex datasets and doing targeted exploratory analysis
• Experience in biomedical or other data-intensive domains — a plus
  
  

• You want to make an impact on humankind
• You prioritize “We” over “I”
• You enjoy getting things done and striving for excellence
• You collaborate effectively with people of diverse backgrounds and cultures
• You have a growth mindset
• You are candid, authentic, and transparent