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Our mobile games have hundreds of millions of downloads worldwide, and some exciting new titles are coming soon. We seek a talented professional who thrives at the intersection of Product Analytics and Game Economy, engaging in data -driven decision-making and product analysis to enhance the gaming economy. You will create fun and engaging game experiences while maximizing player retention and revenues. You will be a crucial part of the analytics team, collaborating closely with the development, data, and product teams.
Responsibilities:
* Utilize quantitative analysis and data presentation to understand user interactions and enhance the game economy.
* Track Daily KPIs, trends, and user behavior to optimize game economy dynamics.
* Identify growth opportunities to improve feature adoption, retention, engagement, and monetization strategies.
* Provide actionable insights to enhance player experience and game economy.
* Understand gameplay loops and how players interact with them.
* Tune the performance of existing features by devising A/B tests and analyzing their effectiveness.
* Adjust sinks/sources to maximize engagement, retention, and revenue.

we are looking for smart and humble team members to join the team and solve complex problems. Our technical challenges include developing new trading strategies, , improving the performance of our algorithms, finding new ways to beat the markets. As an ML researcher you will collaborate with our R&D team to execute live trading strategies. If you are looking to make an impact by putting into practice successful ideas and seeing immediately the outcome, make influence on financial performance this is a great opportunity.



In this role you will:

Mange and lead independent research applying ML/DL/Signal Processing/Data Mining to a wide variety of datasets.
Creatively find new trading strategies
Work with other team members to optimize Finals Algorithms

We are looking for exceptional software engineers to help develop the next generation chips based on a revolutionary architecture.
In this job you will design and develop software for functional and performance validation.



Key job responsibilities
In this role you will develop system level software, targeting chip architecture, functional correctness and performance, running on various platforms and validating chip functionality.

we are looking for talented engineers to join the Pre-silicon Verification team and help us technically lead the challenges of the next decade, developing a semiconductor platform based on revolutionary architecture, and taking part in the development of products within a disruptive system architecture.

As a VLSI engineer and a member of the Nitro project, you will have an impact over the device through its entire lifecycle, from the product definition stage to mass production. You will work in close collaboration with multiple groups, including Architecture, Software, Verification, Backend, and DFT.
*Full ownership of one or more IPs within the product:
-Micro-architecture
-RTL coding and debug
-Synthesis and timing closure
-Sign-off
* Supporting the Verification and Emulation teams: Test plan, Coverage review
* Ensuring that the chip meets quality and reliability standards
* Collaborating with cross-functional teams, including Product Definition, Verification, Software, and Physical design

A leading AI Company in the Automotive Industry, is expanding! Following recent major design wins with leading global OEMs, we're scaling up our operations and innovation efforts. This is your chance to be part of a groundbreaking company at the forefront of automotive safety and intelligence.
We are looking for passionate individuals who want to make a real impact, working on state-of-the-art AI solutions that save lives and transform the driving experience. Join us in shaping the next generation of automotive technology.
Responsibilities
As part of the algorithm team for the next generation of autonomous driving, you will:
Understand deeply, implement, train, and evaluate recent state-of-the-art algorithms in computer vision (e.g. object detection, semantic segmentation, self-supervised learning, vision transformers) for various domains, including ground-view images and satellite/aerial images.
Adapt algorithms into robust and scalable production-ready algorithms. Write clean and efficient code, ensuring compatibility with existing systems and frameworks and real-time needs. Take full responsibility for your algorithms end-to-end until deployment on the edge device for production.
Develop and implement new computer vision algorithms (architectures, loss functions, post processing, training and evaluation methods) that surpass SOTA algorithms and achieve desired performance levels in our domain.

a leading AI Company in the Automotive Industry, is expanding! Following recent major design wins with leading global OEMs, we're scaling up our operations and innovation efforts. This is your chance to be part of a groundbreaking company at the forefront of automotive safety and intelligence.
We are looking for passionate individuals who want to make a real impact, working on state-of-the-art AI solutions that save lives and transform the driving experience. Join us in shaping the next generation of automotive technology.
As a Principal Deep Learning Engineer & Team Lead , you will be responsible for designing and implementing state-of-the-art deep learning algorithms that support our vision-based projects. You will collaborate with cross-functional teams to solve complex computer vision challenges and deliver high-quality solutions. Additionally, you will analyze and optimize neural network architectures for speed, accuracy, and robustness, and stay up-to-date with the latest research in the field to bring new ideas and techniques to the team. Your role will also include mentoring junior team members and contributing to the growth of the team's skills and capabilities.

The ideal candidate should have a strong background in deep learning, machine learning, and programming, with a proven track record of developing and deploying successful deep learning models.

Responsibilities
Develop and implement state-of-the-art deep learning algorithms for computer vision applications in the automotive industry.
Collaborate with cross-functional teams to solve complex computer vision challenges and deliver high-quality solutions.
Analyze and optimize neural network and SOC architectures for speed, accuracy, and robustness.
Stay up-to-date with the latest research in the field and bring new ideas and techniques to the team.
Mentor team members and contribute to the growth of the team's skills and capabilities.
Work with co-architect on creating new NN from scratch and leading the team technologically

Responsibilities:

Reporting to the LS System validation TL, the candidate will have the following responsibilities:
Landing station system validation activity including Phy, HW and SW validation.
Study system architecture and system requirements and take part in a test plan to address these requirements in collaboration with system engineering and other teams.
Define and write automatic test plans and test procedures for new systems and features.
Build test setups for fully automated regression as well as for manual tests.
Take active part, hands-on in team execution: integration and feature/product enabling, bring up and debug activities, regression automation test of satellite systems.
Record, investigate and analyze defects.
Investigation of root cause of test case failures and providing corrective action in conjunction with development teams.
Support Test Management tools and continuous integration methodologies.
Data analysis and post processing of data collected.
Compilation of regular Test execution summary report with metrics.

We're looking for an exceptional technical leader to join our autonomous vehicle team as Head of Algo Planning.
This is a fully hands-on role, involving both deep technical ownership and the management of a small team of researchers working on real-time planning algorithms.
You will be responsible for designing, developing, and deploying cutting-edge planning solutions for our Robo Taxi platform, enabling safe and intelligent motion in complex, dynamic environments.

Why Join us?
Shape the future of autonomous mobility with a team of brilliant minds
Work in a cutting-edge, fast-paced environment with real impact
Direct influence on both product and code from research to real-world deployment

Lead the technical direction and development of the Planning domain: motion planning, behavioral planning, and decision-making
Develop and implement real-time algorithms under physical and operational constraints
Collaborate closely with teams across Perception, Mapping, Control, and System Integration
Manage and mentor a team of 3 algorithm researchers
Take ownership of production-grade code deployed directly on the vehicle
Optimize system performance based on real-world data and testing

a leading AI Company in the Automotive Industry, is expanding! Following recent major design wins with leading global OEMs, we're scaling up our algorithmic scope and products. This is your chance to be part of a groundbreaking company at the forefront of automous driving, safety and intelligence.
We are looking for passionate individuals who want to make a real impact, working on state-of-the-art AI solutions that save lives and transform the driving experience. Join us in shaping the next generation of automotive technology.

As an algorithms developer, you'll be at the forefront of creating and optimizing advanced algorithms for autonomous driving - creating a perception for the 3d world, and performing actions to make your way in this environment. This is a hads-on role, involving machine-learning, mathematical modeling, control-theory and algorithmic solutions to a varietly of problems, all to ensure our systems perform flawlessly in real-world conditions.

Youll collaborate with cross-functional teams to decide on the correct data, create algorithms, and act as a technical expert during developement and testing. Your contributions will directly impact the abilites of autonomous driving technologies.

Responsibilities
As an algorithms developer, you will be responsible for:
Write algorithms to improve our 3d perception of the environment, such as computational geometry, object detection, tracking and prediction
craft new evaluation methods to measure the effect of your models
Diagnosing and solving algorithmic issues that are affecting our performance.
work with large amounts of data, taking part in data-pipeline designs
take ownership of the developement life-cycle: defining the target kpi's, developement and testing, release and integration
extract insights from large amounts of data, contributing to the developement decision making process.
Integrating algorithms with existing frameworks in collaboration with cross-functional teams.

We are seeking PhD Students through fixed-term contracts to join the Generative Modeling Foundations Team within Fundamental AI Research (FAIR).
PhD students in Israel will work in collaboration with research labs at the departments of Computer Science at a university, jointly supervised by academics at these labs and research scientists at FAIR. In the spirit of FAIRs general mission, we expect the work to come out of the PhD, both and the academic partner, to be open science and open source.
Research Assistant (PhD) Responsibilities:
Perform research to advance the science and technology of intelligent systems.
Perform research that improves state of the art of generative models.
Influence progress of relevant research communities by producing publications.
Collaborate and increase productivity on existing research projects.