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This role is designed for individuals who are not only technically proficient but also deeply passionate about pushing the boundaries of AI and machine learning through innovative engineering and collaborative research.

Key Responsibilities
Profile and optimize the training process to ensure efficiency and effectiveness, including optimizing multimodal data pipelines and data storage methods.
Develop high-performance TPU/GPU/CPU kernels and integrate advanced techniques into our training framework to maximize hardware efficiency.
Utilize knowledge of hardware features to make aggressive optimizations and advise on hardware/software co-designs.
Collaboratively develop model architectures with researchers that facilitate efficient training and inference.
Design, maintain, and evolve a high-quality, shared codebase that emphasizes correctness, readability, extensibility, testing, and long-term maintainability, while balancing performance requirements.

This role focuses on pioneering model architecture and pre-training algorithms, shaping the next generation of our foundational generative AI models.

What you will be doing
Pre-train and fine-tune video, audio, and image generative models to pursue state-of-the-art results.
Publish papers and open source models to benefit the research community and advance the field.
Design and implement machine learning models for text-to-audio and text-to-video generation.
Collaborate with data engineers to curate and preprocess text and video data.
Optimize models for high performance, ensuring efficient training and inference.
Build new controls and capabilities into generative text-to-audio and text-to-video models.
Stay updated with the latest developments in Generative AI, particularly in the fields of image, video, and audio.
Work closely with product teams to integrate AI models into applications and services.
Conduct experiments and prototype new concepts to advance the capabilities of our AI tools.

As a Large Scale Video Understanding Research Scientist, you will play a key role in improving video generation quality and efficiency by improving video and audio understanding pipelines used for both training data construction and model evaluation.. This role demands hands-on work with large-scale Video Language Models (VLLMs), including fine-tuning, post-training, and control, alongside implementing classic computer vision and signal processing algorithms and applying strong research skills. Your expertise in post-training and controlling large scale foundational models, understanding statistics, implementing complex systems and eliminating bugs will be crucial, as our video training sets consist of petabytes of data processed across hundreds to thousands of virtual machines.

What you will be doing
Fine-tune and control VLLMs for video and audio understanding.
Design algorithms for balancing, filtering, and curating training and evaluation datasets, informed by model behavior and failure modes.
Implement classic and modern algorithms for processing, clustering, evaluation and filtering of large scale datasets.
Work within high-performance, scalable distributed systems capable of handling petabytes of data, with attention to throughput, correctness, and reproducibility..
Collaborate with other researchers and product stakeholders to iteratively improve training sets and evaluation protocols through tight feedback loops driven by model performance.

The company develops cutting-edge technology in Silicon Photonics, revolutionizing connectivity and communication in data centres. Silicon photonics is becoming a standard technology used for high-performance systems, solving challenges of performance, integration, power, and cost. This technology is growing rapidly also in other markets such as Healthcare, LIDARs, and other sensors.
We are looking to solve difficult problems, smartly and simply, by thinking out of the box, leveraging the knowledge and know-how of the team members, and working as a team to create Magic. Our Company culture is characterized by accountability for our ethics, and for being fair to every employee, customer, supplier, and partner. We believe we must work hard and have fun on the way to success.
We are looking for a Photonics Layout Engineer to join our integrated photonics design team - This position is also well-suited for Analog Layout Engineers who are interested in transitioning into photonic integrated circuit (PIC) design.
In this role, you will be responsible for creating, optimizing and validating PIC layouts, ensuring manufacturability, performance and compliance with foundry design rules. You will work closely with device designers, process engineers, and tape-out teams to deliver high-quality layouts of silicon photonics PICs. Strong candidates will have hands-on experience with industry-standard layout tools, especially Cadence Virtuoso or similar software. Understanding of photonic components, waveguide routing and automated layout generation is a major advantage. You will also contribute to layout methodologies, PCells, and design automation flows to accelerate PIC development.
Responsibilities:
Develop and implement mask layouts for photonic integrated circuits using Cadence Virtuoso or similar software. Create and maintain PCells for photonic building blocks (waveguides, couplers, modulators, gratings, etc.). Perform waveguide routing, ensuring correct connectivity, bend radius limits, and low-loss optical paths. Verify layouts using DRC, and LVS to ensure compliance with foundry requirements. Collaborate with device designers to translate basic schematics and specifications into Software schematics and manufacturable layouts. Optimize layouts for performance, yield, and compactness while adhering to technology constraints. Participate in photonic design automation tool development and workflow improvements. Prepare and manage data for tape-out and support mask review processes. Debug layout and rule-check issues and propose corrective actions.

We are a global fintech software firm at the forefront of providing state-of-the-art technology to the world's largest global banks and hedge funds. Specializing in ultra low-latency strategy and market data solutions, we are committed to delivering cutting-edge innovations to the Financial Industry. With a prominent Israeli R&D center in Jerusalem and development centers in Ukraine's Kharkiv and Dnipro, Fluent is a dynamic and collaborative environment. Project Manager is a market leader with a significant tier 1 & 2 client base in the financial world.
Responsibility will include
* Manage 2-3 project, each is a world-class customer
* Be responsible for customer communication, gathering requirements and managing delivery timelines
* Communicate and co-manage development and QA teams in Israel and Ukraine
* Present project status reports to management.