לוח משרות דרושים מדעים מדוייקים, לחיפוש זה נמצאו 538 משרות

As a Senior Data Engineer, youll collaborate with top-notch engineers and data scientists to elevate our platform to the next level and deliver exceptional user experiences. Your primary focus will be on the data engineering aspects-ensuring the seamless flow of high-quality, relevant data to train and optimize content models, including GenAI foundation models, supervised fine-tuning, and more.

Youll work closely with teams across the company to ensure the availability of high-quality data from ML platforms, powering decisions across all departments. With access to petabytes of data through MySQL, Snowflake, Cassandra, S3, and other platforms, your challenge will be to ensure that this data is applied even more effectively to support business decisions, train and monitor ML models and improve our products.



Key Job Responsibilities and Duties:

Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.

Dealing with massive textual sources to train GenAI foundation models.

Solving issues with data and data pipelines, prioritizing based on customer impact.

End-to-end ownership of data quality in our core datasets and data pipelines.

Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.

Providing tools that improve Data Quality company-wide, specifically for ML scientists.

Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise.

Acting as an intermediary for problems, with both technical and non-technical audiences.

Promote and drive impactful and innovative engineering solutions

Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences, and active community participation

Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions. Provide technical guidance and mentorship to junior team members.

As a Machine Learning Scientist II, you will work within a cross-functional team of engineers and product managers to develop, evaluate, and deploy GenAI-powered solutions for scalable, customer-facing applications. Your work will focus on implementing agentic capabilities, contributing to evaluation frameworks, and delivering measurable business impact through data-driven experimentation.


Key Job Responsibilities and Duties:

Contribute to the design and development of end-to-end agentic systems, ensuring code quality and efficiency in production.

Build agentic solutions for different tasks and use cases using state-of-the-art techniques

Develop and carry out evaluation strategies, including formulating new metrics and building evaluation judges

Adhere to and promote established best practices in GenAI application development within the team.

Collaborate actively with team members, participating in code reviews, sharing knowledge, and contributing to a positive team environment.

Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into ML solutions.

Conduct deep data analysis to evaluate model performance, label quality, features exploration.

Work closely with ML engineers to ensure and improve the solutions latency/throughput meets product requirements and ensure deployment of your model to production.

As a Senior Machine Learning Engineer, you will work closely with top notch engineers and data scientists to design, develop, evaluate and deploy Gen AI-powered solutions for scalable, customer-facing applications. Your work will focus on building and applying state-of-the-art agentic capabilities to drive business impact and improve efficiency.



Key Job Responsibilities and Duties:

Design, develop, and deploy high-quality, performant, and efficient Generative AI-powered solutions and agentic systems into production environments.

Evaluate and define optimal architectural solutions by considering emerging technologies, business needs, and technical requirements for latency, throughput, and scale.

Own services end-to-end, including implementing robust monitoring and maintenance strategies to ensure application and ML health, quality, and performance.

Write and maintain clean, scalable, and well-tested production code, ensuring reproducibility and seamless integration via CI/CD pipelines.

Pioneer and promote best practices and the adoption of cutting-edge technology in GenAI application development.

Collaborate effectively with Product Managers, Data Scientists, and Analysts to understand business requirements and translate them into technical ML and agentic solutions.

Provide technical guidance and mentorship to other engineers, contributing to the team's overall technical development.

We are looking for a highly talented Postgraduate Engineer - MSc/PhD to join our Autonomous Systems team and lead the development of a foundation model that will serve as the backbone of our autonomous robot.

Responsibilities:

Process large-scale, multi-modal data from diverse sources.
Design, develop, and build Foundation Models to support perception for autonomous agents.
Build data pipelines, training frameworks, and evaluation methodologies.

Prepare media and solutions according to established protocols
Assemble and disassemble bioreactors and related equipment
Clean and maintain bioreactors and supporting tools
Calibrate bioreactors to ensure accurate operation
Perform bioreactor sampling as required
Support the Process Development (PD) team with cell maintenance
Accurately document all procedures and experimental activities
Assist in transferring processes to pilot and production scales

we are looking for a QC Specialist
Responsibilities:
Perform laboratory and environmental tests to assess the quality of raw materials, production areas, processes, and finished products.
Assist the QC Manager in developing and implementing laboratory methods, quality control procedures, and related documentation.
Execute validation protocols for equipment and processes.
Coordinate testing with external contract laboratories.

Perform validation tests at product board and system levels, to ensure compliance with specifications, standards and customer requirements.

The Senior Edge Navigation Software Engineer will play a key role in designing and developing the platform's navigation and state estimation software-a core capability that enables the drone to accurately understand its position, orientation, and motion in complex and dynamic environments.

This role requires deep expertise in navigation algorithms, sensor fusion, perception, and real-time software development, with the opportunity to influence the architecture and implementation of advanced navigation capabilities for autonomous UAVs.

Responsibilities
Navigation & State Estimation

Design and develop robust navigation and state estimation algorithms.
Develop algorithms to evaluate sensor reliability and dynamically fuse or select sensor inputs.
Ensure accurate and continuous state estimation (position, velocity, and orientation) under varying operational conditions.
Improve navigation robustness in GNSS-degraded and GNSS-denied environments.
Sensor Fusion

Design and implement multi-sensor fusion algorithms using IMU, cameras, radar, barometer, GNSS, and additional onboard sensors.
Develop estimation frameworks based on Kalman Filters, EKF/UKF, factor graphs, or similar approaches.
Optimize estimation accuracy, consistency, and real-time performance.
Optical & Perception-Based Navigation

Develop vision-based navigation capabilities.
Implement and optimize perception algorithms for localization and navigation.
Integrate perception outputs into the broader navigation and control pipeline.
Software Development

Design, develop, test, and maintain high-performance C++ software for real-time autonomous systems.
Write clean, maintainable, and production-quality code.
Optimize algorithms for embedded and edge computing platforms.
Participate in software architecture discussions and technical design reviews.
System Integration

Collaborate closely with control, autopilot (APS), mission software, perception, and infrastructure teams.
Ensure seamless integration between navigation outputs and guidance/control loops.
Work with simulation and QA teams to validate system performance.
Robustness & Performance

Design algorithms for real-time execution under strict latency and computational constraints.
Validate solutions through simulation, hardware-in-the-loop testing, and flight testing.
Optimize performance in challenging environments with degraded or uncertain sensor data.

We are looking for a proactive and hands-on Quality Team Leader to lead our quality team and drive continuous improvement across suppliers, production processes, and finished products.

In this role, you'll combine strong people leadership with problem solving, decision making, and cross-functional collaboration. You'll serve as a mentor and role model for your team, while taking ownership of quality performance and identifying opportunities to improve processes and results.



What You'll Do:
Lead and develop a high-performing quality team, driving execution, accountability, collaboration, and continuous improvement across all quality activities.
Manage QMS activities and support compliance with quality standards and procedures.
Lead supplier quality activities, incoming quality control, investigations, and corrective actions.
Support production through real-time problem solving and effective decision making.
Monitor quality KPIs, analyze trends, and communicate insights to management.
Lead audit readiness activities and participate in internal and external audits.
Support onboarding of new materials, suppliers, and NPI initiatives.
Identify opportunities for improvement and proactively drive solutions from idea to implementation.
Lead CAPA, RCCA, and complex root cause investigations.
Manage product and material release activities (MRB / Product Release).
Lead risk management activities (FMEA) and support regulatory compliance.
Manage customer quality issues, complaints, and field performance trends.
Lead cross-functional and global quality projects with R&D, Operations, and Suppliers.

BIRD Aerosystems, a global provider of innovative defense solutions is seeking a skilled EO & Radar Systems Engineer to join our innovative engineering team. In this role, you will be at the forefront of designing, developing, integrating, and testing advanced electro-optical and radar systems for aerospace applications. You will work closely with multidisciplinary teams to develop cutting-edge solutions, optimize system performance, and support the transition of advanced technologies from development to production and field deployment. Responsibilities
* Design and develop advanced defense system based on electro -optical (EO) and radar technologies for aerospace platforms.
* Lead and support system-level integration, testing, and validation of EO and radar technologies.
* Define system requirements, architectures, interfaces, and technical specifications.
* Collaborate with multidisciplinary teams including hardware, software, algorithms, mechanical, production, and system engineering.
* Evaluate and integrate new EO, radar, sensing, and related technologies to enhance system capabilities.