Curious about what it’s like to work at the world’s number 1 discovery platform as a AI Software Engineer in the R&D group? We’re glad you asked!

What is the key purpose of a Software Engineer? As a Software Engineer in the R&D group, you will be instrumental in developing and maintaining advanced software productivity tools and services using cutting-edge AI technologies. You’ll leverage the latest generative AI workflows, LLM models, and RAG-based workflows to create innovative AI solutions, directly influencing how billions of people discover the internet.

What skills and qualifications do I need? For this role, it is essential that you have:

• 3+ years of programming experience in Java/Scala and/or Python
• Deep understanding and experience in designing and implementing RAG-based workflows using language models
• Strong analytical skills, performance analysis capabilities, and experience with debugging tools
• In-depth knowledge of computer hardware, particularly graphics hardware/GPUs, and strong mathematical fundamentals
• Ability to work independently as well as in a team environment, with excellent communication and presentation skills
• BS or MS in Computer Science, Artificial Intelligence, or a related field, or equivalent experience
• 1 year of full-time work experience or 3 months internship experience (only applicable to fresh graduates) in data science is required

Nice to have:

• In-depth experience with MLOps or LLMOps
• Experience in developing software using generative AI models (e.g., LLM, stable diffusion, Llava models)

What will I be doing on a day-to-day basis? As a Software Engineer, you will:

• Develop advanced software productivity tools and services using Generative AI, LLM models, and RAG-based workflows
• Research and evaluate cutting-edge AI methods and technologies to stay ahead in the field
• Collaborate with engineers and stakeholders to devise creative solutions for complex business challenges
• Lead technically: Offer guidance on best practices for implementing and optimizing LLMs and RAG-based solutions
• Communicate and document: Present AI project results and insights to key stakeholders effectively

Our Tech Stack: Java, Scala, Python, LLM models, Generative AI technologies, RAG-based workflows

This is us! You will work with:

• The people who wrote the first lines of code in Taboola (and many many more lines after that)
• The proud owner of a beer brewery
• People who are deeply familiar with the code of Kafka, Cassandra, AirFlow, Prometheus, and Spark (including committing back)
• Famous internal Taboola hackathon winners
• The designers and implementers of a custom Kafka Producer which cumulatively sends ~100B messages / day

You can get to know us more by visiting our company website, careers site, Taboola Life blog, and social media channels: Facebook, Instagram, Twitter, and LinkedIn.

Why Taboola? If you ask our employees what they love about Taboola, they will tell you that here they are able to discover their best professional selves, explore where they can grow, and learn from and together with smart and talented people. We work with some of the biggest names in the business. Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia, and Honda. Taboola offers generous health, medical, and dental coverage, 401k matching, and various wellness benefits. Our offices in Ramat Gan and Beer Sheva provide a hybrid work model with flexibility to work from home a few days a week, with plans to expand to additional locations such as Jerusalem. Learn more about TaboolaLife on LinkedIn, Facebook, Instagram, YouTube, & the Taboola Life Blog.

Sounds good, how do I apply? It’s easy, submit your CV by clicking the “Apply” button below. Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need. #LI-Hybrid