Job Description

Astera labs is seeking a skilled and motivated Data Scientist. This individual will play a pivotal role in identifying key data points for collection, developing strategies to accumulate data and deriving actionable insights an anomaly based on a solid foundation of relevant know-how. Also, will also be responsible for creating, testing, and deploying scripts and methods for data collection and analysis to support decision-making. The Engineer will collaborate with cross-functional teams to identify critical data sources to determine the most effective data collection strategies, will develop automated and scalable data collection pipelines, will ensure data quality, integrity, and consistency across all sources and may use AI techniques to refine the results toward failures predictions.

Basic Qualifications

• Bachelor’s degree in computer science, Data Science, Engineering, Mathematics, or a related field.
• Advanced degrees in data science or Machine learning / AI - Advance.
• Proficiency in programming languages such as Python, R, or MATLAB.
• Strong understanding of data manipulation and analysis tools (e.g., Pandas, NumPy, SQL).
• Understanding of high speed interfaces such as Ethernet, PCI-E , WiFi.
• Experience with data visualization tools such as Tableau, Matplotlib, Graphana.
• Strong analytical and critical-thinking skills to identify patterns and outliers.
• Customer-obsession, Think and act with the customer in mind!
• Goal-driven, Self-motivated, be able to work independently and with teams with people around the globe.
• Entrepreneurial, open-minded behavior and can-do attitude.

Required Experience

• Experience with data manipulation and analysis tools (e.g., Pandas, NumPy, SQL).
• Machine learning and AI techniques and frameworks (e.g., TensorFlow, Scikit-learn).
• Proven ability to manage multiple tasks and meet deadlines.

Preferred Experience

• Embedded Firmware development with C-language, scripting with Python or other equivalent programming languages.
• Master’s degree in a relevant field.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) for data storage and processing.
• Familiarity with big data technologies (e.g., Hadoop, Spark).
• Knowledge of engineering design tools and processes.

Who we are

Lightricks is an AI-first company creating next-generation content creation technology for businesses, enterprises, and studios with a mission to bridge the gap between imagination and creation. At our core is LTX-2, an open-source generative video model, built to deliver expressive, high-fidelity video at unmatched speed. It powers both our own products and a growing ecosystem of partners through API integration.

The company is also known globally for pioneering consumer creativity through products like Facetune, one of the world’s most recognized creative brands, which helped introduce AI-powered visual expression to hundreds of millions of users worldwide. We combine deep research, user-first design, and end-to-end execution from concept to final render to bring the future of expression to all.

The Team

Lightricks is an AI-first company creating next-generation content-creation technology for businesses, enterprises, and studios, with a mission to bridge the gap between imagination and creation. At our core is LTX-2, an open-source generative video model, built to deliver expressive, high-fidelity video at unmatched speed. It powers both our own products and a growing ecosystem of partners through API integration.

Following the success of LTX-2, our widely adopted open-source text-to-audio+video model, we are expanding our efforts to develop cutting-edge audio+video generation models and are hiring Research Scientists to join our Model Evaluation team - part of LTX Foundational Model group.

The Model Evaluation team is the central nervous system of the LTX Foundation Model group. We don't just measure performance; we define what "good" looks like across a vast array of use cases. While we power the next generation of creative tools, LTX is also a foundational engine for simulation pipelines, game engines, synthetic data generation, architectural rendering, and digital avatars. We act as the critical bridge between raw research and industrial-grade reliability, building the benchmarks that ensure our models are world-class for both artists and engineers.

The Role

As a Research Scientist in Model Evaluation, you are the ultimate authority on model quality and utility. You will design the automated judges, reward models, evaluation datasets, and benchmarking ecosystems that determine the future of LTX. Your mission is to provide the "ground truth" for our pre-training and post-training teams. You will blend the rigor of a researcher with the intuition of a product-thinker, developing metrics that capture both the aesthetic soul of a video and the functional precision required for high-stakes professional use.

Key Responsibilities

• Steer Training & Research: Systematically evaluate model checkpoints to provide actionable insights that guide training experiments and architectural decisions.
• Design Benchmark Ecosystems: Develop and run rigorous benchmarks for release candidates against competitive models, ensuring LTX-2 remains world-class.
• Build Next-Gen Metrics: Develop robust automatic metrics and Reward Models (e.g., for RL, ITS, auto-research agents) that quantify complex attributes like temporal coherence, physical correctness, spatial accuracy, and foley synchronization.
• Diagnose & Analyze: Perform deep root-cause analysis on model failures, providing the diagnostic clarity needed for researchers to implement targeted fixes.
• Scale Evaluation: Collaborate with platform engineers to deploy evaluation frameworks across large-scale GPU clusters.

Ideal Candidate

• Technical Depth: Master’s or PhD in Computer Vision, ML, or a related field, with strong software engineering skills and comfort in complex ML training environments.
• The "Metric" Mindset: Deep expertise in evaluation methodology and statistical rigor. You know why standard metrics often fail and how to build better ones.
• Perceptual Intuition: A sharp "eye and ear" for quality. You can articulate subtle nuances in motion or sound that automated systems might miss and use that intuition to improve our reward models.
• Data-Driven Detective: You love diving into datasets to find the "why" behind the numbers, taking pride in curating and specializing data for specific evaluation tasks.
• Product-Minded Scientist: You can think like an end-user. You care that our models don't just "beat the benchmark" but actually work reliably in professional pipelines.
• Statistical Rigor: You understand experimental design, significance testing, and the nuances of perceptual quality assessment.

We got you covered

• We run daily door-to-door shuttles, offering Car-to-go subscriptions from several locations for several locations in central Israel, plus free parking and train-station pickups.
• We’re proud to have 2 chef-led restaurants on site by the legendary Machneyuda Group (yes, that Machneyuda!), plus a bakery nestled in the heart of our office, filled daily with the scent of fresh pastries.
• We empower employees with cutting-edge tools and learning opportunities to grow and succeed through workshops, access and training on platforms, subscriptions, and clear guidelines for responsible AI use.