דרושים » מדעים מדוייקים » PhD Algorithms Developer Crypto Blockchain

Were looking for a passionate and experienced Computer Vision Algorithms Engineer to join our applied algorithms team and help shape the future of Digital Twin technology. In this role, you will research, design, implement, and optimize advanced machine learning and computer vision models to process and extract insights from data captured by our autonomous drone hives and other imaging systems.

Your work will go from research to real-world impact, delivering robust, production-ready solutions that power mission-critical operations for global enterprises across telecom, wind, and solar. Youll collaborate closely with cross-functional teams to ensure that the algorithms you build are not only accurate and scalable but also aligned with mission of enabling enterprises to digitize smarter, faster, and safer.

Job Description:

Develop algorithms to solve challenging computer vision problems, reducing customers manual work-from survey analysis to optimal drone flight planning.
Combine methods from Computer Vision, Geometry, Image Processing, Photogrammetry, 3d Mapping, Optimization, Object Detection, Classification, and different Machine Learning approaches.
Conduct research and feasibility studies, define algorithm requirements, and integrate solutions into the product.
Bring solutions from theory to production, collaborating with cross-functional teams (Product, R&D, Operations) to align on goals and deliverables.
Take ownership of integrating AI capabilities into production and iterating based on real-world feedback.

As an Algorithms Researcher , you'll join a team that explores the vast collection of relevant data and creates the optimization algorithms that drive Via's mass scale, complex, multi-dimensional automated dispatch.

What You'll Do:

Mathematically model the competing demands on Via's system.
Develop online algorithms for real-time decision-making, focusing on optimizing system utilization while maintaining a high quality of service for riders.
Design and implement highly efficient and scalable algorithmic solutions to power decision-making systems under large-scale, real-world operational demands.
Use sophisticated statistical methods to analyze demand, traffic and fleet performance, and generate insights that inform algorithm development.

Join our growing AI team as an Algorithm Developer and help build systems that solve complex challenges in the worlds of creative and marketing. You'll work hands-on across the stack of our AI features and have real impact on the products evolution.

Key responsibilities:
Research, design, and implement state-of-the-art algorithms in Generative AI.
Work closely with researchers & engineers to bring prototypes into production.
Optimize algorithms for scalability, cost, and performance in cloud environments.
Collaborate with product teams to translate business needs into algorithmic solutions.

Are you passionate about leveraging cutting-edge AI to solve real-world business challenges? Join a leading financial institution and be part of a high-impact AI team shaping the future of risk, service, marketing, fraud detection, and more.
As an AI Algorithm Developer, you'll design and develop advanced GenAI-driven algorithms that tackle complex problems across departments, harnessing data to create scalable, intelligent solutions.
?? What Youll Do:
Develop and implement Machine Learning and GenAI algorithms across diverse business domains. Leverage advanced data and AI methodologies to optimize organizational performance. Work on NLP, LLMs (e.g., ChatGPT, BERT), transformers, and other state-of-the-art technologies. Collaborate with data scientists, engineers, and business units to bring AI innovation into production.

We are looking for a Senior Algorithm engineer to join a high-velocity R&D team developing advanced Real-Time algorithms for mission-critical defense systems. The role focuses on designing, implementing, and evolving estimation, inference, and decision algorithms that operate under real-world constraints such as uncertainty, latency, partial observability, and adversarial conditions. You will take ownership of core algorithmic components from theoretical formulation through deployment in operational systems.
Responsibilities:
Design, implement, and maintain Real-Time estimation and inference algorithms operating on heterogeneous sensor inputs. Develop and tune probabilistic state-estimation models, including non-linear filters, adaptive models, and prediction mechanisms. Implement uncertainty management, gating, clustering, hypothesis handling, and state lifecycle logic. Integrate AI/ML components where they provide measurable value (classification, anomaly detection, decision support). Own algorithm performance across stability, convergence, latency, and numerical robustness metrics. Translate operational and system -level needs into mathematical formulations and deployable algorithms. Collaborate closely with system engineers and software teams to integrate algorithms into Real-Time command-and-control environments. Analyze operational data, simulations, and edge cases; iteratively refine models based on empirical performance. Participate in algorithm design reviews, trade-off analyses, and performance assessments.

We are looking for a versatile, creative and experienced Algorithms Researcher to join our elite research department. The position aims to explore and implement novel interdisciplinary solutions to complex challenges in the highly challenging environment of physical retail stores.
Address real-world problems for which no off the shelf solutions exist. Innovatively combine computer vision, classical ML, and signal processing.
Rely on huge data continuously harvested from stores empowered by our companys system.
Collaborate with fellow researchers specializing in an array of different disciplines.
Write production-grade code; Work side-by-side with top notch engineering teams in order to integrate your solutions into our companys system.
See the bigger picture; take the system as a whole into account while designing algorithmic solutions.

Our Algorithms team tackles the companys most pressing ML challenges, addressing real-world problems that have a direct impact on success. As part of this group of experienced, you will help establish a new research area within the company, uncovering insights and detecting anomalies that enhance the products overall performance.



What You'll Do:

End-to-end ownership: Identify and frame ambiguous business problems, set measurable success criteria, prototype solutions, and deliver production-ready algorithms.
Algorithm design: Develop and refine methods across clustering, graph learning, causal inference, time-series modeling, and optimization to enable new product capabilities.
Workflow deep dive: Work closely with Product teams to analyze current pipelines, map data and decision flows, and identify inefficiencies and opportunities for improvement.
Real-world data modeling: Explore, structure, and model construction-related data, including progress histories and schedules. Build robust datasets and meaningful features.
Collaborate with a dynamic team of talented researchers driving digital transformation in the construction industry.

We seek a strong, motivated, and highly technical researcher who can be part of the Innovation & Research team.

With an R&D mindset, the research outcome will be integrated into products.

The position allows gaining extensive knowledge about security-related issues based on Machine Learning algorithms that would help to secure organizational networks, including IoT devices.

You will be able to directly impact protections against major vulnerabilities.

Key Responsibilities
Be part of the Innovation team that is responsible for Policy Insights and IoT security solutions.
Build ML/AI solutions together with a strong partnership with our engineering team.
Work with data throughout the entire pipeline from Data Engineering and Data Analytics to ML/AI models.
Collaborate with all the data & research-related groups within .
Developing and implementing protection mechanisms against diverse cyberattacks, while investigating IoT devices to analyze their network behaviours and integration within complex systems.
Productization & development of technologies from the POC stage into an enterprise-scale security solution.
Work closely with other development teams, QA, product management, and customers.

Required Data Science Engineer
About the Team
Our team focuses on delivering cutting-edge, AI-powered automated application security features within our ASPM product. We are a dynamic, agile team emphasizing seamless transitions from design to production, deployment, and ongoing monitoring. We excel at operationalizing machine learning, data science, and AI solutions into robust, secure, and high-performance security capabilities.
What You Will Do
Be a core member of a cross-functional AI innovation team, collaborating closely with software engineers, MLOps specialists, and analysts.
Design, build, and optimize end-to-end AI-driven features - from experimentation and model training to validation and deployment.
Develop production-grade code (Python and C#) to integrate advanced models and data-driven capabilities into our core products.
Continuously evaluate model performance and data quality in real-world settings, proactively driving improvements, retraining, and robust monitoring.