Lightricks is an AI-first company bridging imagination and creation through innovative tools for content creation. Our flagship app, Facetune, is used by millions of creators worldwide for AI-powered photo and video editing. Combining advanced computational graphics and generative AI, we empower creators to push the boundaries of what's possible.
Our Data Science team sits at the center of how Facetune makes business decisions. We're a small team with a direct line to leadership — our models are the actual inputs to revenue planning, marketing efficiency (budget allocation, campaign optimization), and product strategy. Our work has led to published research — we go deep when the problem calls for it.
The roleWe're hiring a strong Data Scientist with deep understanding in classical ML skills and experience with unstructured data. You'll build prediction and optimization models across the business, and help us expand into new territory: extracting signals from user prompts, photos, and video to power ad prediction, user intent modeling, recommendations, and personalization. You'll also contribute to the team's AI ecosystem, including evaluating and calibrating AI agent outputs.
Our stack: Python, BigQuery, GCP, our own production pipeline framework (Nova), Prefect, and Grafana.
We're looking for someone with strong modeling instincts who cares about business impact — not just technical depth, but making sure the work lands and changes how decisions are made.
What you will be doing- Build prediction, classification, optimization, and causal inference models — revenue forecasting, campaign performance prediction, user segmentation, spend allocation, personalization, and other ML projects across the team's portfolio
- Design and maintain models in both batch and online serving environments — owning the full path from research to production
- Evaluate, calibrate, and improve AI agent outputs — designing benchmarks, measuring accuracy, and identifying failure modes in AI-generated results
- Research and adopt new models and AI technologies to expand what the team can deliver — finding practical ways to scale our impact beyond what we can build manually
- Work with rich, large-scale user data — but the challenges here are deep: building models that stay accurate as the product and market shift, that scale reliably, and that keep driving decisions over time, not just at launch
- Extract signal from unstructured user data — prompts, photos, ad creatives, video interactions — using LLMs, embeddings, or custom approaches where domain-specific signal extraction matters
- Lead projects end-to-end: from identifying a business problem with stakeholders, through research and planning, to production deployment and monitoring
- Work directly with Finance, Marketing, and Product stakeholders to define problems, align on approach, and deliver results they act on
- M.Sc. or Ph.D. in Statistics, Computer Science, Mathematics, or a related quantitative field
- 5+ years of hands-on data science experience
- Strong foundation in classical ML — classification, regression, and time-series forecasting
- Experience working with unstructured data (text, image, or video) alongside structured data, in a production or applied research setting
- Strong programming skills in Python and SQL (BigQuery or equivalent)
- Experience with ML frameworks such as scikit-learn, XGBoost, or similar; familiarity with time-series methods (Prophet, ARIMA) is a plus
- End-to-end project experience: from business problem definition through research, production, and stakeholder delivery
- Daily use of AI tools in your workflow — you already work with LLMs, coding assistants, or AI-powered tooling as a natural part of how you get things done
- Strong communication skills — ability to present complex technical findings clearly to non-technical audiences, write structured documentation, and collaborate effectively across teams
- Experience with NLP, computer vision, or multimodal feature extraction in applied settings — including integrating LLMs into production models
- Background in marketing analytics, revenue modeling, or other business-facing DS problems
- Experience evaluating, calibrating, or benchmarking LLM and AI agent outputs
- Experience with anomaly detection or unsupervised methods
- Consumer app or B2C product experience
Skills Required
- M.Sc. or Ph.D. in Statistics, Computer Science, Mathematics, or a related quantitative field
- 5+ years of hands-on data science experience
- Proven experience deploying NLP or text-based models into production environments
- Strong programming skills in Python and SQL (BigQuery or equivalent)
- End-to-end project experience: from business problem definition through research, modeling, production, and stakeholder delivery
- Proven experience working with both unstructured and structured data
LTX Compensation & Benefits Highlights
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Healthcare Strength — Health, dental, and vision insurance are offered with HSA/FSA options, plus access to onsite or virtual health centers where available. Coverage breadth is positioned as comprehensive for U.S. employees.
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Parental & Family Support — A New Parent Pay program provides paid leave for birth, adoption, surrogacy, or foster placement, alongside backup child/elder care and family‑building assistance. These offerings indicate a strong emphasis on supporting families.
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Leave & Time Off Breadth — Generous PTO, paid sick days, paid holidays, wellness days, and flexible/volunteer time off are highlighted. Hybrid and flexible work models further support time away and work‑life balance.
LTX Insights
What We Do
At our core is LTX- an open-source generative video model built to deliver expressive, high-fidelity video at unmatched speed. It powers our own products and a growing ecosystem of creative partners worldwide. We're one of the few companies globally building our own multimodal foundation models, competing directly with the world's largest AI labs. Startup speed. Experienced leadership. A product people already love. Backed by a proven business model and unicorn-scale resources. We were founded by four computer-science PhDs who never stopped thinking like researchers. That mindset still defines us: deep technical ambition, a bias toward building, and a belief that the best creative tools haven't been invented yet. The team has done it before. Lightricks' suite of apps, including the famous Facetune, has over 500 million downloads worldwide and has won numerous prestigious awards, including Apple's App of the Year, the Apple Design Award and both Apple and Google Play's Best of the Year. What makes us "us" - At LTX, innovation starts with people, not buzzwords. We move fast, speak plainly, and take real ownership. Impact here comes from passion, curiosity, and initiative, and from raising the bar for yourself and the people around you. We believe the best work happens together. The culture here is genuinely collaborative, people share knowledge, back each other up, and win as a team. When things click, everyone feels it. You'll have what you need to do your best work: unrestricted access to compute, tools, and resources. We're AI-native in practice- first access to the latest models, real infrastructure, and a team that learns together in real time. We move at the pace of AI, not just in what we ship, but in how we think and work. Priorities shift, the market moves, and we move with it. If you thrive on change, adapt quickly, and want to be part of a team that keeps up, you'll feel right at home. We build, break, iterate, repeat. What matters here is how you think, what you're curious about, and where you want to go.
LTX Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We work hybrid. There are set in-office days built into the week, and the rest is remote. We design the mix intentionally, because in-person time makes the work better.
