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Our team develop cutting-edge solutions that transform medical imaging. You will play a crucial role in designing, implementing, and optimizing algorithms that improve healthcare.

Responsibilities
Design, develop, and implement efficient and robust AI algorithms for medical data analysis.
Collaborate with data scientists and software engineers to integrate algorithms into clinical workflows.
Conduct research and experimentation to improve algorithm performance and accuracy.
Stay up-to-date on the latest advancements in AI and machine learning, particularly in the medical domain.

we are hiring a Senior Geophysicist for Algorithm Development role.
KEY RESPONSIBILITIES:
-Develop subsurface imaging algorithms based on data acquired from multiple sensors.

-Define and implement Signal Processing methods.

-Validate the performance of developed solutions based on empirical studies, and clearly communicate and document conclusions.

-Collaborate with team members and provide necessary support for technology transfer.

-Support existing technology in a production environment.

-Stay up to date with industry technology and software trends to bring ideas to geophysical solutions.

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Our innovative platform is leading-edge with a strong product-market fit. As a result, we're seeing remarkable growth and close to zero customer churn. To support our hyper-growth and continue propelling the growth of some of the biggest names in the mobile industry, we offer a wide range of opportunities for different skill levels and experiences.
We are looking for a Senior ML Engineer who is passionate about bringing models from development to production. As a Senior Machine Learning Engineer, you will join a team that specializes in the development and deployment of machine learning models at scale. Your role will be pivotal in exploring and integrating new technologies related to machine learning, artificial intelligence, and large-scale data processing.
Responsibilities
Leading the development of machine learning pipelines that are scalable, ensuring they can accommodate future growth in data volume and diversity.
Actively participating in the selection and implementation of new technologies and architectural components to advance our machine learning capabilities.
Develop ML solutions using advanced DL techniques to a diverse set of problems.
Collaborating with cross-functional teams to integrate machine learning solutions into the broader system architecture

We are seeking a dynamic and experienced Head of Algorithms to lead our algorithm development team. The ideal candidate will have a proven track record in designing, developing, and implementing innovative algorithms to address complex challenges in deep learning domains. As a crucial member of our technical leadership, you will play a pivotal role in driving technological advancements and ensuring the success of our projects.

RESPONSIBILITIES
Lead and manage a team of algorithm engineers and data scientists. Define and execute the algorithm development roadmap, aligning it with the companys overall strategy and objectives.
Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to ensure seamless integration of algorithms into our products and solutions.
Stay abreast of the latest advancements in algorithmic research and implement best practices in algorithm development.
Conduct performance evaluations, provide mentorship, and identify opportunities for professional development within the team.
Oversee the design, development, testing, and optimization of algorithms for Vision AI
Evaluate and select appropriate tools, platforms, and technologies for algorithm development.

we are looking for an Algorithm Developer and Calibration Expert, where your contributions will be instrumental in crafting cutting-edge computer vision algorithms. Focused on both online and end-of-line calibration within the dynamic landscape of autonomous driving, your role holds the key to elevating the safety and efficiency of self-driving vehicles. Through your expertise, you will empower these vehicles to navigate with unparalleled accuracy and reliability in real-time scenarios, shaping the future of autonomous mobility.

RESPONSIBILITIES
Collaborate with cross-functional teams to design, implement, and optimise calibration algorithms, both on-line (i.e., from Optical Flow) and end-of-line (i.e., from charts), for autonomous driving systems.
Develop and enhance computer vision models and techniques to accurately estimate the intrinsic and extrinsic calibration parameters, with and without GT data.
Implement calibration and variable-estimation algorithms that ensure the continuous accuracy of the calibration model over time.
Address challenges related to strong dynamical changes, unstable driving, bumpers, hard-braking, and real-time processing to achieve robust calibration estimation.
Evaluate and integrate cutting-edge computer vision and machine learning libraries and frameworks into our automotive AI stack.
Work closely with hardware and software engineers to ensure seamless integration of algorithms into our autonomous vehicles.
Stay up-to-date with the latest research and advancements in online and end-of-line calibration to continually improve our technology.

The SA. Senior Engineer is expected to do the heavy lifting in this respect: research and develop an end-to-end SA module complementing our cutting-edge DL technology using a variety of disciplines that transcend the traditional neural-net-based approaches.

About The Role:

As an Object Detection and Tracking Algorithm Engineer, you will play a crucial role in developing state-of-the-art computer vision algorithms for object detection and tracking in the context of autonomous driving and ADAS. Your work will directly impact the safety and efficiency of self-driving vehicles, enabling them to detect and track other vehicles, pedestrians, and objects in real-time.
RESPONSIBILITIES


Collaborate with cross-functional teams to design, implement, and optimize object detection and tracking algorithms for autonomous driving systems.
Develop and enhance computer vision models and techniques to accurately detect objects of interest within a vehicle's environment.
Implement object-tracking algorithms that ensure the continuous monitoring and tracking of objects as they move across frames.
Address challenges related to occlusions, varying lighting conditions, and real-time processing to achieve robust object detection and tracking performance.
Evaluate and integrate cutting-edge computer vision and machine learning libraries and frameworks into our automotive AI stack.
Work closely with hardware and software engineers to ensure seamless integration of algorithms into our autonomous vehicles.
Stay up-to-date with the latest research and advancements in computer vision, object detection, and tracking to continually improve our technology.

we looking for an experienced Simulation Engineer.

In this role, you will work in the advanced-features R&D team being responsible for the simulation environment used for training and evaluating deep learning based driving policy models

RESPONSIBILITIES
Ensure the simulation environment accurately emulates real-world driving scenarios, including various traffic conditions, weather patterns, and road types.
Be in contact with external vendors of simulation software and evaluate said software.
Collaborate with data scientists and machine learning engineers to integrate deep learning models with the simulation environment.
Facilitate the training and evaluation of these models within the simulation, ensuring robust and efficient performance.
Manage large datasets used for training and validating deep learning based models.
Analyze simulation results to identify model performance issues and areas for improvement.
Develop and implement rigorous testing protocols to validate the safety and reliability of driving policies under various conditions.
Optimize the simulation environment for speed and efficiency, enabling faster iteration cycles for model training and evaluation.
Work closely with cross-functional teams, including software engineers, data scientists, and product managers.
Stay informed about the latest advancements in simulation technology, autonomous driving, and machine learning.