Data Science Manager, GenAI & LLMs

Posted 2 Days Ago
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Tel Aviv, ISR
In-Office
Junior
Real Estate • Financial Services
There's the conventional way. And there's the JLL way. A more innovative, intelligent way. See a brighter way.
The Role
Lead multiple international data science teams and applied AI research tracks while remaining hands-on with GenAI and LLM systems. Set technical vision, roadmaps, hiring plans, and stakeholder KPIs; develop customized language models, embeddings, agentic workflows, recommender systems, forecasting models, and entity-resolution pipelines. Drive research through production deployment, partner with engineering, product, and business teams, and communicate results through publications, reports, talks, and internal or external presentations.
Summary Generated by Built In

JLL empowers you to shape a brighter way.  

Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong.  Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.

About us

JLL (NYSE: JLL) is a Fortune 200 company and a global leader in commercial real estate. We are a $20B+ business with over 100,000 employees worldwide and the stability and resources to invest seriously in AI. Under our Accelerate 2030 strategy, data and AI are the core pillars of how the company will operate and grow.

The Tel Aviv technology hub is at the center of that effort. We design, build, and operate production-grade AI systems that shape how decisions are made across JLL's diverse businesses.

The position

We are looking for a Data Science Manager to join the Enterprise Data Science Group to serve as a senior, hands-on manager and the group lead's close partner. You'll start by leading multiple strong data scientists internationally, driving several of our applied research tracks, with a clear mandate to grow the team in Tel Aviv as new projects land: hiring, setting vision and roadmaps, and aligning stakeholders on goals and KPIs. One of the most ambitious parts of the roadmap is building custom language models for JLL, models adapted to commercial real estate on proprietary data few companies can match for various use cases.

The role offers a rare combination of hard, real-world applied research, leadership, and the full stack including dozens of data sources, billions of data points, closed and open-weight LLMs, post-training/fine-tuning, agentic workflows, multiple cloud environments, and more. You'll partner with strong data scientists, engineers, product managers, and business stakeholders and see your work land in production.

Representative projects:

  • Classifying companies by industry code at scale, combining LLMs, custom embeddings, and classic ML.
  • GenAI-based entity resolution, linking companies and properties across dozens of data sources using custom embeddings, deep pipelines, LLMs at scale, fine-tuning, clustering, and more.
  • Agentic, LLM-based, and ML-driven recommender systems for driving cross-sell and up-sell across our diverse businesses. 
  • Forecasting commercial lease rent dynamics and market trends from JLL's global transaction and market data using millions of leases and diverse input.
  • Building agents and MCP servers that put our research and data to work.
  • Exploratory research for incorporating the latest approaches (tabular foundation models, time-series foundation models, multi-agent pipelines, reinforcement learning, auto-research, novel evaluation methods, etc.) into our work.

We are looking for:

  • 2+ years managing data scientists, AI researchers, ML engineers or similar.
  • Strong leadership mentality where you inspire your team, initiate beyond core data science, and partner with product and business to spot new project opportunities.
  • Proven ML/AI excellence, with recent years focused on GenAI.
  • A track record of leading multi-person efforts end-to-end, shipping to production, and creating lasting value.
  • Comfortable with communicating your work internally and externally.
  • A strong research track record (e.g., scientific publications, technical reports/blogs, conference talks).
  • An MSc (PhD an advantage) in computer science, math, or another quantitative field, or equivalent experience.

Ways to stand out:

  • Hands-on post-training of open-weight models (e.g. Llama/Qwen-class): SFT, preference optimization (DPO/GRPO), LoRA vs. full fine-tuning, and synthetic data curation
  • Distributed training (FSDP, DeepSpeed) or high-throughput LLM serving (vLLM, SGLang)
  • Experience with agentic systems: tools and MCP design, multi-agent orchestration, context engineering, and rigorous evaluation
  • An entrepreneurial track record

We're a tight-knit team of about 20 with a strong, fun, collaborative culture and a positive atmosphere, hybrid from our newly renovated Tel Aviv headquarters, a homelike space with team breakfasts and an on-site gym. We offer highly competitive compensation and benefits, including private health insurance.

Location:

On-site –TEL AVIV, ISR

If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements.  We’re interested in getting to know you and what you bring to the table!

At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.

JLL Privacy Notice

Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.

For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.

For additional details please see our career site pages for each country.

Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities.  If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process –  you may email us at [email protected]. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.

Skills Required

  • At least 2 years managing data scientists, AI researchers, ML engineers, or similar professionals
  • Strong leadership mentality and ability to inspire teams and partner with product and business stakeholders
  • Proven excellence in machine learning and artificial intelligence, with recent focus on generative AI
  • Track record leading multi-person efforts end-to-end and shipping solutions to production
  • Ability to communicate work internally and externally
  • Strong research track record, such as scientific publications, technical reports, blog posts, or conference talks
  • MSc in computer science, mathematics, or another quantitative field, or equivalent experience
  • PhD in a relevant quantitative field
  • Hands-on post-training of open-weight models, including SFT, DPO or GRPO, LoRA, full fine-tuning, and synthetic data curation
  • Distributed training using FSDP or DeepSpeed, or high-throughput LLM serving using vLLM or SGLang
  • Experience with agentic systems, tools, MCP design, multi-agent orchestration, context engineering, and rigorous evaluation
  • Entrepreneurial track record

JLL Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JLL and has not been reviewed or approved by JLL.

  • Healthcare Strength Healthcare coverage is positioned as comprehensive, spanning medical, dental, vision, life, disability, FSA options, and mental health support. The package is frequently characterized as “great” or “good,” reinforcing its perceived robustness.
  • Retirement Support Retirement benefits include a 401(k) with a strong employer match and access to related savings options such as a Roth 401(k). The presence of an employee stock purchase program and charitable matching further supports long-term financial value.
  • Leave & Time Off Breadth Time-off benefits include paid holidays and PTO that is often described as generous and flexible, alongside bereavement and military leave. Remote/hybrid flexibility is also part of the total rewards picture, increasing perceived overall value.

JLL Insights

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The Company
HQ: Chicago, IL
66,101 Employees
Year Founded: 1999

What We Do

We’re a leading professional services firm that specializes in real estate and investment management. JLL shapes the future of real estate for a better world by using the most advanced technology to create rewarding opportunities, amazing spaces and sustainable real estate solutions for our clients, our people and our communities. We want the most ambitious clients to work with us, and the most ambitious people to work for us. Join us.

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