לוח משרות דרושים מדעים מדוייקים בתל אביב יפו

דרוש/ה פיזיקאי/ת חוקר/ת פוטוניקה (Photonics Researcher) לחברת מוליכים למחצה בת"א
We are looking for exceptional talent to join our Photonics team as a Photonic Scientist, involved with fundamental aspects of the development of a state-of-the-art solid-state laser.
Responsibilities:
Mapping-out material and performance related limitations of our laser
Offering and testing design improvements to reduce the above limitations
Reviewing related literature and building hypotheses through simplified physical models
Planning and executing experiments to validate hypotheses
Consult team members and work together to research/production/productization activities.
Proposing and testing design solutions / new architectures to improve the product in terms of performance, manufacturability, cost, size and reliability

As a senior computer vision engineer, you will be part of an elite group in the field of AI microscopy and hematology. Our computer vision team is responsible for solving the most challenging tasks in microscopy image analysis. You and your colleagues will research and develop new AI models to analyze thousands of cells, build new infrastructure for on-premise inference, and collect vast labeled data to provide a clinical-grade solution that runs in real time.

Your responsibilities will include:

Continually bringing new knowledge, experience, ideas, and best practices to the team
Implementing AI based on classic computer vision and deep learning, writing clear and efficient code in Python for smooth productization
Continually improving the teams internal research methods and tools
Supporting team members with their research
Take part in defining team data needs
Collaborating with physics, software, and data teams

Were seeking a future team member for the role of AI RESEARCHER to join our AI HUB team. This role is located in TEL AVIV, ISRAEL (hybrid).

In this role, youll make an impact in the following ways:
Algorithmic Development and Mathematical Analysis.
Engage in the in-depth study and modification of algorithms that power Large Language Models.
Deep mathematical understanding of natural language processing techniques, model architectures, and optimization strategies is essential for refining or creating more efficient and effective models.
Technology Review and Benchmarking.
Keep abreast of the latest advancements in the Large Language Model landscape by continuously reviewing state-of-the-art technologies and frameworks.
Identify performance bottlenecks and operational limitations in existing systems, offering technological insights that can steer the development of next-generation models.
Conceptual Innovation and Prototyping.
Dedicate efforts to crafting novel methods and algorithms aimed at pushing the boundaries of what Large Language Models can accomplish.
Translate theoretical breakthroughs into testable prototypes, collaborating with engineering teams to evaluate their real-world applicability and scalability.

We are looking for an experienced computational chemist to join our team.
Responsibilities:
Support drug discovery projects with advanced data analysis and molecular modeling
Work in an interdisciplinary environment, developing and executing computational chemistry strategies to drive problem solving within the project
Apply chemoinformatic methods including structure-based and ligand-based drug design techniques for virtual screening, and lead optimization.
Develop AI/machine learning, statistical modeling and generative design tools for drug discovery.

We are looking for an experienced software & algorithm engineer to join our computational drug hunting team.
Responsibilities:
Design and build a scalable, complex backend infrastructure for our computational cloud platform
Advocate lean and mean solutions, aesthetic design, and architecture
Implement and improve algorithms in our bioinformatic pipelines
Conduct literature reviews for algorithms, bioinformatics methods and big data solutions, and continuously keep up to date with the state of the art
Help define the technological strategy of the company

We are looking for experienced, creative and impact-oriented Algorithm Developers to join our team!

As an Algorithm Developer you will be responsible for building the algorithms powering our platform and our consumer applications (Wordtune Suite). You will be part of a multi-disciplinary team that also includes engineers and product professionals, all working together to bring our products to life.

You will take part in the full life cycle of our development process, deeply understand the problem we are solving, come up with algorithmic approaches for solving these problems, devise strategies for collecting necessary training data, train and evaluate large language models and other machine learning models and also be in charge of deploying these solutions in production.

ROLE AND RESPONSIBILITIES
Build the algorithms that power our various products
Develop production-grade solutions to challenging product-driven NLP tasks by combining deep language models, classical ML/NLP and algorithms
Collaborate with product, sales and customer success teams to define success criteria and translate them into quantitative measures and objectives
Devise innovative strategies for collecting training and evaluation data
Train and evaluate models in realistic production scenarios
End-to-end ownership of the algorithmic components of our products, from design, through implementation and monitoring in production

We are hiring a senior data scientist to join Nucleai’s data science team. A cancer patient wants to know that their diagnosis and treatment are determined with the greatest precision and preferably using the most advanced technology. At Nucleai, we bring cancer patients cutting-edge AI-based technology by improving biopsy interpretation with machine learning and creating novel precision medicine technology. Come join our team of experienced AI engineers and world-renowned clinicians, and help us make a difference. At Nucleai, we believe that talents are our most valued asset, and as such, hiring the right people is one of our most strategic missions.
Position Overview The data science team provides the bottom line to our customers – which patients are the best fit for a cancer treatment and what is the chance of success. We do it by analyzing medical images and clinical data, researching spatial features, developing predictive models and applying statistical methods to evaluate the results. We work together with subject-matter experts, from medical doctors to software engineers, to leverage computer vision, focus on the most promising biological hypotheses and to productionize our capabilities.
Responsibilities:
* Independently lead the data science perspective in any project or assignment – from data mining, through developing new algorithms, to analyzing results and providing professional insights and guidelines.
* Contribute to the team's internal codebase with high-quality code and development standards.
* Augment our knowledge and best practices, adopt relevant SOTA data science methods and practices.
* Work closely with medical doctors, product and project managers, research scientists and software developers to focus your efforts, build new capabilities and provide value to your colleagues and our customers.

As the Game Economy Manager, you will be responsible for designing and managing the in-game economy, as well as managing and tracking our user's experiences through the use of behavioral insights, mathematical models, simulations, data analysis,

To put it simply: You'll be responsible for making the game more fun and increasing community engagement.

The ideal person for this position is curious by nature, loves problem-solving, is a team player with great communication skills, and is a self-starter.

RESPONSIBILITIES
Designing economic game features in order to maximize and heighten user experience and optimize KPIs directly linked to the game
Model and balance complex systems in the game to maintain a healthy and growing in-game economy
Work with the product and monetization teams to build and implement content in the game as well as live-ops activities
Perform data analysis and AB testing in order to always improve the game performance
Pricing of the game store, offers, and other products
Tracking and managing in-game economy parameters on a daily basis