דרושים » מדעים מדוייקים » Senior system Engineer

we're on a mission to shape the future of the shipping industry through cutting-edge autonomous ship technology. Our solutions empower teams both on the ship and ashore to make informed decisions that dramatically enhance safety, reduce fuel consumption, improve navigation, and minimize environmental impact.
We integrate state-of-the-art technologies like computer vision and augmented reality, ensuring that we create solutions that improve operational efficiency and promote safer, greener shipping practices. we are committed to making a positive difference for both the environment and the people who rely on safe, efficient shipping practices. Join us as we work towards a safer, greener future for the maritime industry.
We're seeking a passionate and experienced Senior System Engineer to play a pivotal role in shaping the technical vision and driving the next generation of intelligent maritime solutions. If you're excited about working in a fast-paced, multidisciplinary environment and leveraging cutting-edge technologies, we want to hear from you!

What You'll Do
As a Senior System Engineer you'll be the technical lead for system-related aspects of our products. You'll work closely with cross-functional teams to design, implement, and deliver robust solutions that redefine maritime operations. Your responsibilities will include:
Define System Architecture: Establish hardware and software requirements for new and existing products.
Integrate Camera Technologies: Oversee the integration of advanced camera systems, including thermal cameras, ensuring optimal performance in diverse environmental and operational conditions.
Collaborate Cross-Functionally: Work alongside Product Management and R&D Team Leaders to ensure seamless design, implementation, and testing.
Understand Customer Needs: Analyze market trends and customer feedback to shape technical solutions.
Lead System Integration: Oversee hardware and software integration, ensuring smooth interactions between components.
Support Field Operations: Provide technical support for field trials, customer deployments, and production processes.
Problem-Solving: Identify, communicate, and resolve technical challenges throughout the development lifecycle.
Mentorship: Guide and mentor technical team members, fostering a culture of innovation and continuous learning.

Required Staff Algo Data Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Staff Algo Data Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Staff Algo Data Engineer Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.

Required Senior Algo Data Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Algo Data Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Senior Algo Data Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.

This is a leadership role in our companys core AI group, which develops cutting-edge AI solutions that transform medical imaging and diagnostics. As a Team Lead in the AI Algorithm Engineering group, youll be leading a team of top-tier algorithm engineerssupporting their growth as professionals and as people, and helping build a strong, trusting, high-performing team.
Youll help shape and execute the teams roadmap, ensuring strong alignment with product and business goals. Youll also collaborate closely with product managers, clinical experts, and engineering stakeholders. While your primary focus is on people and execution, youll stay hands-on, contributing directly when needed to solve complex challenges and lead by example.
This role is ideal for someone who leads through empathy, clarity, and technical depthand who thrives on building both products and people with care, ownership, and impact, while making a meaningful difference in real-world healthcare.
Responsibilities
Lead a team of top-notch algorithm engineers in designing, developing, and delivering accurate, reliable AI algorithms - with active, hands-on involvement as part of the role.
Build and nurture a culture of technical excellence, trust, ownership, and collaborationturning culture into a force-multiplier and helping attract and retain top talent.
Support your teams professional and personal growth, creating an environment where people feel safe, empowered, and deeply motivated to do their best work.
Collaborate with cross-functional partnersdata scientists, software engineers, product managers, and clinical expertsto ensure AI is thoughtfully integrated across initiatives.
Help shape and execute the teams roadmap in alignment with product and business goals.
Guide team members through complex algorithmic and engineering challengesproviding both technical insight and strategic clarity.
Stay up to date with AI/ML trends and help your team adopt relevant techniques.
Take full accountability for the quality, delivery, and impact of your teams workwhile continuously improving both effectiveness and efficiency.

We are seeking a passionate and experienced Algorithms Team Leader to lead our Computer Vision and Deep Learning team. This is a hands-on leadership role combining technical expertise, strategic thinking, and team mentorship to drive the development of cutting-edge AI-powered solutions.

As the Algorithms Team Leader, you will be responsible for leading a team of talented algorithms developers in researching, designing, developing, and deploying advanced algorithms from research to scalable production systems. Youll be instrumental in shaping the future of our AI capabilities and driving innovation within the team and across the organization.



Responsibilities

Lead and grow a high-performing team of algorithm engineers in the fields of computer vision, deep learning, photogrammetry, and robotics.
Work hand-in-hand with both the CTO office and the product team to shape and execute our AI and algorithms roadmap, ensuring that our innovations translate into business impact. Represent the team in technical and strategic discussions, both internally and externally.
Serve as a key liaison between the algorithms team and other departments, ensuring alignment on plans, project goals, and deliverables with both technical and non-technical stakeholders.
Collaborate closely with cross-functional teams, including software engineers, product managers, and QA, to ensure alignment on project goals and successful integration of AI features.
Oversee the full algorithm development lifecyclefrom concept and research to implementation, integration, and deployment.
Contribute to the development of intellectual property, including patents and technical publications. Identify new trends and drive adoption of state-of-the-art techniques to maintain our leadership in the domain.

We are looking for an experienced Senior Algorithm Engineer with expertise in Computer Vision to join our AI team. In this role, you will design, develop, and optimize state-of-the-art vision-based algorithms that power our AI-driven solutions. You will work with large-scale real-world data, contribute to cutting-edge research, and play a key role in bringing advanced AI capabilities to millions of users worldwide.
Responsibilities:
Design, develop, and optimize Computer Vision and Deep Learning algorithms for real-time AI-driven applications.
Work with large-scale visual datasets to train, test, and validate models.
Research and implement state-of-the-art machine learning techniques, including object detection, image segmentation, scene recognition, and 3D processing.
Enhance the efficiency, accuracy, and robustness of existing vision-based models.
Collaborate with software engineers, data scientists, and product teams to integrate algorithms into AI-powered platform.
Stay up to date with the latest advancements in Computer Vision, AI, and Generative Models.

Required Algo Developer Team Lead
We are using technology to transform transportation around the world. From changing a single persons daily commute to reducing humanitys collective environmental footprint weve got huge goals.
As the Algo Developer Team Lead, you will be responsible for leading the development of our core routing engine and overseeing its evolution. Youll work closely with cross-functional teams to design, implement, and refine algorithms that solve complex optimization problems, ensuring that our engine performs at scale and continues to meet the dynamic needs of our users.
You will be part of a highly talented and motivated development team responsible for our Routing real-time systems. This role involves leading a team of skilled engineers, ensuring the delivery of high-quality navigation solutions at scale, and contributing to the continuous improvement of our development processes.
What Youll Do:
Lead and manage a team of Backend engineers, overseeing the development of both end-to-end services and core infrastructure components.
Work closely with Product & Algo teams to design and refine routing algorithms & continuously optimize algorithms to handle large-scale, real-time data efficiently.
Develop, own, and execute the team's roadmap, ensuring alignment with the company's strategic goals.
Oversee project objectives to enhance and support the overall product strategy.
Play a central role in managing, coaching, and fostering the growth of your engineering team.
Guide and mentor team members to ensure they deliver exceptional results by promoting best practices and addressing technical challenges on projects requiring advanced technical expertise.

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 our 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.

Required Algorithm Developer
The Role:
As an Algorithm Developer, you will be part of the AI team that develops AI-based products and maintains them in production at scale (1700+ hospitals).
As part of the Al team you will:
Design, develop, and implement robust, scalable AI algorithms tailored to real-world challenges in clinical settings.
Prepare, process, and analyze complex medical data to support algorithm development and validation.
Ensure the reliability, performance, and accuracy of algorithms in production, including troubleshooting, testing, monitoring, and continuous improvement.
Collaborate closely with Product Managers and Clinical Specialists to translate clinical and business needs into data-driven solutions.
Research, develop and integrate cutting-edge deep learning techniques and classical computer vision and medical imaging methodologies.
Apply NLP and large language models (LLMs) to extract insights from unstructured medical texts and develop intelligent agents for optimized clinical decision support
Stay up to date with cutting-edge advancements in Deep Learning, Computer Vision, and Large Language Models. Organize and actively participate in seminars, book clubs, and conferences.
Have an opportunity to co-author papers and abstracts for leading medical journals and scientific conferences.
Main technical stack:
Infrastructure: AWS, Docker, Kubernetes
Programming Languages: Python
Data processing: Pandas, Polars, Amazon Athena, Postgress Sql, Opensearch
Deep Learning Frameworks: TensorFlow, Keras, Pytorch
Computer Vision Libraries: OpenCV, MONAI
NLP/LLMs: Hugging Face Transformers, spaCy, Amazon Bedrock
Our Core Values:
Patients First; Time is Brain; Quality Squared; Kindness Wins; I am Accountable.

Required Senior Deep Learning Algorithm Developer- L2++ Group
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.