Job description

The Land division of Elbit Systems provides integrated solutions to the defense sector, and is a major part in ensuring the safety of Israeli citizens and defense forces. At the AI and Algorithms Group we develop cutting edge algorithms for a wide range of systems, from autonomous vehicles to drones and more. We tackle problems in the areas of 3D-perception, computer-vision and decision making, using Deep Learning and Reinforcement Learning methods.

We are looking for a senior algorithm developer to lead the development in various projects such as autonomous ground and aerial vehicles, active defense of armored vehicles and situational awareness.

Responsibilities

• Develop algorithms for real-time perception of autonomous vehicles using Deep Learning and classical computer vision methods
• Develop infrastructure for 3D perception solutions
• Lead development efforts from concept to integration and deployment

Requirements

• MScPhD in CSEE Related field
• 3 years of experience developing computer-vision algorithms
• Strong knowledge in 3D computer-vision
• Knowledge in Deep Learning and ML frameworks (PyTorchTF)
• Highly proficient in Python or C++
• Knowledge in SLAM Semantic Mapping – advantage

Job description

The Land division of Elbit Systems provides integrated solutions to the defense sector, and is a major part in ensuring the safety of Israeli citizens and defense forces. At the AI and Algorithms Group we develop cutting edge algorithms for a wide range of systems, from autonomous vehicles to drones and more. We tackle problems in the areas of 3D-perception, computer-vision and decision making, using Deep Learning and Reinforcement Learning methods.

We are looking for a graduate student to join us in developing decision-making algorithms for a range of projects. We are interested in someone with a good understanding of dynamical systems, planning, optimization, machine learning and reinforcement learning.

Responsibilities

• Develop algorithms to solve real decision-making problems for autonomous systems using Reinforcement Learning, Imitation Learning, Planning and Optimization methods
• Contribute to infrastructure for machine learning pipelines
• Integrate solutions in physical systems and verify them in tests
• Take part in research projects aimed at developing novel methods for future applications

Requirements

• MSc/PhD student in CSEE related field
• Strong knowledge in Reinforcement Learning
• Proficiency in Python and Deep Learning frameworks
• Good understanding of dynamical systems
• Knowledge in Planning and Optimization – Advantage
• Knowledge in Control and Estimation – Advantage

C2i Genomics is a fast-growing start-up developing an innovative solution for personalized real-time cancer detection and monitoring based on a standard blood test. We address a burning unmet need for millions of patients with various types of cancer.

Our pattern recognition-based approach is X100 more sensitive than any available alternative. C2i's cloud-based platform provides oncologists with vital timely information about treatment success or failure months and even years before current monitoring methods are able to.

C2i Genomics is headquartered in NYC and is looking for a talented Senior Data Scientist to join its R&D branch in Israel in its mission to save lives by early detection of cancer recurrence and treatment failure.

Position summary

We are looking for an experienced data scientist to empower our medical diagnostic capabilities. As an integral part of our R&D, you will be called on to research and develop data-centric analytic methods. The successful candidate will be in charge of researching and developing algorithmic pipeline across various system levels, from raw genomic data processing, through features extraction up to machine learning, statistical assessment and optimization.

The successful candidate will be an essential team player for significant optimization of our growing genomic data analytic platform. This entails working cross-functionally with bioinformaticians, clinical analysts, software engineers and business analysts to ensure C2i's data becomes powerful asset and value growth driver. Specifically, the role assumes participation in the design and prototyping of cutting-edge machine learning and statistical algorithms for analysis of genetic data to improve clinical performance, hacking the high-throughput data processing pipelines – to replace heavy repetitive computations with trained models, and utilize ML on a system level to shorten the processing times and costs.

The ideal candidate will have the ability to see the big picture and to understand user needs and requirements and to identify the opportunities for applying solutions from the machine learning, algorithms and data science domains.

Responsibilities

• Analyze next-generation sequencing data ranging from single research experiments to very large data sets
• Research and develop novel machine learning architectures, statistical algorithms and mathematical models for application in genomics
• Lead the design and development of data specification standards and data science business processes
• Produce correct conclusions based on rigorous mathematical analysis and principles of statistics and probability
• Collaborate effectively with R&D, production, and clinical teams to build pipelines for high-throughput sequencing data
• Be the "go to" person for data and algorithms issues
• Ensure internal processes and metrics are aligned to create the highest product quality and competitive advantage
• Develop Python software infrastructure to support algorithm testing and simulation studies
• Produce clear, concise and correct technical documentation including research reports and algorithm specifications
• Collaborate across the organization to build data application pipelines for high-throughput sequencing data
• Generating ideas to improve existing technology and drive future technology

Experience and Qualifications

• At least 5-year practical experience in scientific methods, processes, algorithms and systems for knowledge and insights extraction from data
• Extensive knowledge in the domains of machine learning, signal processing and related quantitative techniques and theory
• Strong foundation in probability theory and/or statistics including parameter estimation and hypothesis testing
• Knowledge of core concepts in data analysis and applied statistics – model testing, regression, classification, clustering, data mining
• Good Python, bash and scripting fundamentals, including file parsing and data visualization
• Experience with cloud computing technologies (AWS preferred) – a plus
• Proficiency in at least one major deep learning framework (PyTorch, TensorFlow, MXNet) – a plus
• Knowledge of bioinformatics tools, clinical diagnostics workflows or genetic processes – a plus
• Experience with data management in a regulated environment – a plus
• Desire to learn about human genetics, genomics and next-generation sequencing technologies
• Highly organized and detail-oriented, with the ability to create clear and concise technical documentation
• Excellent verbal and written communication skills and the desire to work in a dynamic and collaborative environment
• Ability to work independently and remotely while maintaining a strong teamwork ethics

Key attributes

• Independent self-management and organizational skills
• Able to manage workload and set personal and project priorities
• Entrepreneurial, driven to create and to be impactful team player
• Relies on data more than gut instinct
• Puts the team harmony over their own self-interest, but data above all
• Strong attention to detail demonstrating accuracy in tracking and reporting data
• Flexibility to adjust quickly and effectively to frequent change and altered priorities
• Disciplined in following process consistently
• Eagerness to acquire new skills in areas such as databases, statistics, and genetics
• Excellent verbal and written communication
• Ability to evaluate and apply new technologies in a short time

Education

• Master’s degree / PhD in engineering, computer science, bioinformatics, statistics, or similar, with a strong foundation in probability theory and/or statistics.

* Experience, education and skill set will determine title and compensation

* Employee must complete training relating to GDPR/HIPAA/PHI privacy, general policies and procedure compliance training and security training as soon as possible but not later than the first 60 days of hire.

* The candidate as a whole will be evaluated and strengths in one area may make up for lack of experience in others.

* This job description is not designed to cover nor contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

• Research, develop and test computer vision, computational photography and image processing algorithms (both conventional and learning-based), specifically in the field of multi-camera systems.
• Combine information from different cameras (stereo-based processing, registration, data fusion)
• Algorithmic design for a real-time embedded platform
• Own the full development cycle – from concept, through research, design, implementation and testing
• A mixture of algorithmic work (research and design in Matlab or similar) and SW work (including SW architecture, implementation in C/C++/CUDA, optimization)

Qualifications

• M.Sc./ Phd, in Electrical Engineering with high grades- a must.
• at least 3 years of experience in Image Processing, computer vision or computational photography algorithms development.
• C/C++/Python coding experience is mandatory.
• Experience with one or more embedded platforms-advantage
• Fast learner, team player, reliable, motivated, hard worker, good organizational skills.
• In depth understanding in imaging systems (CMOS sensors, optics) and image pipeline – advantage.

Company Overview

Loris is an AI company that develops products that help companies better handle their most difficult customer service conversations. Our real-time coaching software equips customer service teams with customer sentiment and live guidance, helping agents respond to requests more efficiently and effectively, improving agent productivity, company customer satisfaction and ultimately customer lifetime value by preventing churn.

Loris now works with large enterprises in marketplace, fintech and delivery, and our novel dataset consists of millions of anonymised textual interactions between businesses and their customers.

The idea of Loris was born from Crisis Text Line, a nonprofit organisation that provides free, text-based crisis counseling. Everyone on our team believes language matters, and we are an empathy-first organisation. We look forward to growing our team with like-minded, multidisciplinary individuals from diverse backgrounds. We're based in Tel Aviv and NYC and backed by top investors, including Vertex, Floodgate, and Jeff Weiner.

Job Overview

We are looking for an experienced and creative data scientist to become a foundational member of our team. In this role, you will help us study conversations to build models that support better outcomes,  thereby enabling businesses to provide their customers with a better experience while simultaneously reducing costs. We support the mental health and well-being of agents while providing key business insights to management. If you’re passionate about NLP at  the intersection  of emotional intelligence and  machine learning, this is your opportunity to join us in building  impactful AI solutions to real-world problems.

Job Responsibilities:

• Innovate, develop and test state-of-the-art approaches to solve challenging problems in conversational AI
• Partner end-to-end with Product Managers, Data Scientists, Software Engineers, and UX Researchers to understand customer requirements, design prototypes, and bring innovative technologies to production
• Analyze conversations using NLP to extract features for use in insight-generation and predictive text models
• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
• Present reports and findings to senior level technical and non-technical audiences
• Develop processes and tools to monitor and analyze model performance and data accuracy

Required Skills and Qualifications:

• PhD/ M.Sc in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.)
• Great communication skills and a startup mindset
• 5+ years of experience in a data science role
• 3+ years of experience with NLP applications and techniques
• Experience in conversational AI
• Strong Python skills 
• Experience with ML frameworks: PyTorch, TensorFlow, Keras, Fast.AI 
• Experience with integrating ML models into production
• Solid computer science and coding skills

About Us

Intelligo is a fast-growing startup with proven product-market fit and a steady revenue stream. We recently completed our Series B. We’re headquartered in Petach Tikva, Israel

Our mission is to empower trust and manage risk by providing institutional investors, investment banks, capital allocators, law firms, and corporations with advanced capabilities to run comprehensive background checks powered by cutting edge artificial intelligence and machine learning. Our Clarity^TM product is a one-stop platform delivering quick checks, deep reports, and continuous monitoring with ease, speed, and accuracy.

About the role

Our Data Analyst will be a key member of our Data Science Team. They will  develop a deep understanding of Intelligo’s product, data sources, and data science methodologies. They will work with product managers, data scientists, and their team to develop strategies for successful data processing and integration.

Our Data Analyst is a highly motivated and analytical team player who lives and breathes data. Their goal is to perfect our data prediction models to ensure our clients can access the most comprehensive data on our research subjects. 

In your role as a Data Analyst, you will:

• Take on a “problem-solving” approach to the challenges we face in our complex big data environments and actualize their analytical insights. 
• Utilize bottom-up, story based, innovative techniques to apply analytical know how to our data analysis. 
• Plan and execute long-term projects from start to finish to improve our data infrastructure to support our data performance requirements
• Work with product team to develop cutting edge, scalable and innovative solutions to enhance the experience for our customers
• Measure performance against OKRs and goals
• Maintain ongoing communication with stakeholders and peers across the company and share updates with team in a clear manner
• Build out and track our KPIs around data models performance and help define the data team’s long term efforts to achieve the company and product’s goals around these KPIs.

What you bring with you

Must haves:

• Excellent SQL skills with experience in querying large, complex data sets – a must
• Passion for data with strong analytical & technical skills
• Ability to collect, organize, and analyze a significant amount of information with attention to detail and accuracy.
• 2+ years of work experience in relevant positions (e.g. data analyst, decision scientist,  statistician, FP&A, product/process manager, risk management, army intelligence units)
• Bachelor’s degree or above in one of the following: statistics, engineering, exact sciences, economics, finance, etc. (MBA – an advantage)
• Excellent English verbal and written communication skills
• Quick-thinker, fast learner, problem solver

Advantages:

• Skilled in Python/R – an advantage 
• Familiarity with BI tools e.g., Tableau
• Experience with AWS solutions
• Experience working with big data in a high scale environment