דרושים » תוכנה » AI Researcher

We are looking for a Senior Data Scientist to lead the development of machine learning solutions powering real-time decision-making and recommendation systems in industrial production environments.

This is a hands-on role with end-to-end ownership. You will be responsible for the full modeling lifecycle, from problem framing and data exploration to modeling, evaluation, deployment, and production impact. You will work with complex, noisy sensor and control data, building models that must be robust, interpretable, and reliable in real-world conditions.

You will collaborate closely with deep learning researchers, research engineers, and domain experts, and play a key role in shaping how data science is applied across the system.
Key Responsibilities


Design, develop, and evaluate machine learning models for real-time industrial applications
Own the end-to-end modeling pipeline, including problem formulation, data preparation, feature engineering, model development, evaluation, deployment, and post-production monitoring
Translate ambiguous production challenges into well-defined data science problems
Lead feature engineering and data exploration on complex sensor and control datasets
Define KPIs, evaluation frameworks, and experimentation strategies
Ensure model robustness over time, including monitoring, drift detection, and continuous improvement
Work closely with data and research engineers to bring models into production
Drive best practices in modeling, validation, and reproducibility
Communicate insights, trade-offs, and recommendations clearly to stakeholders

We are looking for a Software Engineer specializing in ML Systems Engineering to join our Development department.
While vision and language models have become increasingly commoditized, our proprietary deep learning models are unique, fast-evolving, and deployed in live trading across the worlds most efficient and sophisticated financial markets. Operating in this environment presents distinct scaling challenges and continuous opportunities for optimization. Success in this role requires first-principles thinking and a deep understanding of the engineering trade-offs behind high-performance DL systems.
This is a pivotal role within our engineering organization. You will work closely with researchers and engineers across the company, running deep learning models on massive compute clusters and adapting them for production serving under strict and non-trivial constraints.

As a Data Engineer , you will own the data lifecycle for Physical AI and humanoid robotics: the pipelines and systems that move data from the moment it is captured to the moment it trains a model.
You will design and scale the pipelines that convert large volumes of simulation and real-robot recordings into state-of-the-art datasets - handling extraction, transformation, feature schemas, statistics, and video at scale. You will build the curation systems that generate and select high-quality training data, and the release tooling that produces versioned datasets.
You will work with various reinforcement learning and computer vision algorithms which generate realistic simulation data for humanoid robotics tasks.
You will build robust, production-grade systems that bridge data producers and consumers, accelerate dataset iteration, and make every dataset that reaches a model trustworthy, reproducible, and traceable to its source.

Required Researcher
Description
We are a world leader in trading algorithms and trade execution technologies development. Our multi-disciplinary teams have developed a unique and highly successful machine learning algorithmic based HFT platform that delivers excellent results.
Our research is run by an outstanding team of brilliant researchers who love the extreme challenge of beating the markets. We consistently profit in challenging markets that get increasingly efficient.
We have no customers, and no marketing. It is a pure technological and algorithmic challenge. Hence the time-to-market from a research idea until it is used and make profit by our trading machines is very short.
In a world increasingly dominated by learning machines and artificial intelligence, we are especially proud of our humans. Our elite team of exceptional people are the soul of our company, and it is our top priority to provide them with a professionally fulfilling environment that supports healthy work-life balance. Our employees are encouraged to pursue their passions outside of work and we are proud to offer them a variety of opportunities, multiple resources and an agile work environment which promotes their well-being.
Our unique research team is expanding, 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 our financial performance this is a great opportunity.
In this role you will:
Mange and lead independent research applying ML/DL methods to a wide variety of datasets.
Creatively find new trading strategies
Work with other team members to optimize our Algorithms.