דרושים » מדעי החיים, טבע וחקלאות » Senior Program Manager

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.

We are looking for a Director of Innovation to establish and lead our Innovation team. This is an exciting opportunity to build an innovation team within a dynamic and cutting-edge environment! This pivotal role involves managing the Innovation department, nurturing a culture of innovation across the company, and spearheading the development of state-of-the-art cybersecurity solutions. As part of our advanced technology group, you will lead the identification, selection, prototyping and specification of innovative solutions. We expect those solutions to be predominantly driven by but not limited to Artificial Intelligence (ML/LLM).



Main Responsibilities

Developing and executing innovation strategy, in alignment with the company strategy.
Fostering a culture of innovation and developing appropriate innovation processes, including a supporting Innovation Funnel based process.
Building and leading a high-performing Innovation team.
Conducting technology market and industry analysis to identify opportunities and threats.
Leading innovation initiatives by identifying new ideas, trends (specifically in technology), products, and services that could improve performance.
Managing related intellectual property including patents and proprietary tools, and develop the IP-base as a key asset.
Identifying and managing risks to innovation operations, including legal and regulatory risks, reputational risks, and financial risks.
Collaborating with other departments , specifically Services, R&D and Marketing to ensure that their activities are aligned with innovation strategy.
Communicating innovation strategy to internal and external stakeholders.
Identifying and, if applicable, partnering with external sources of innovation, such as other innovative companies, research institutions and academia, to bring in new ideas and technologies and to stay abreast of the relevant tech innovation ecosystem.

we are looking for a Senior Engineer with a data engineering background to join our growing ML Platform team. This is a great opportunity to enter the world of Machine Learning. Together well provide tools to develop more effective models, get them into production faster, and ensure that they continue to perform well over time.
What you will be doing:

Designing, building, and maintaining the ML infrastructure that allows models to make billions of real-time decisions every year.
Building a platform that enables managing a full ML model lifecycle - from researching to training, deploying, and serving predictions in real-time.
Building distributed data processing pipelines to support model development.
Acting as a consultant to researchers, data scientists, and expert analysts and enabling them to research new models faster and with greater precision by providing cutting-edge tooling.
Expanding our ML infrastructure to make it scalable, quick, and efficient to bring diverse models to production and to monitor their performance and drift over time.
Expanding the pool of internal customers able to use ML. Work with them to understand their needs and help them make the most of the infrastructure that well provide.
Acting as an advocate for MLOps, continually improving our processes, and raising our standards.

The worlds largest content recommendation platform, is hiring a Senior Machine Learning Engineer.
What are some of the things you do on a day-to-day basis?
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms models in a production environment and then monitoring and maintaining them
Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
Work on a daily basis with some of the hottest trends in todays job market: machine/deep learning, big data analytics/engineering and cloud computing
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems
Influence directly on the way billions of people discover the internet
Work on projects such as Internet Personalization, Content Feed, Real Time Bidding, Video Recommendations and much more
Our tech stack:
Python, Java, TensorFlow, Spark, Kafka, Cassandra, HDFS, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes and Docker.

Our Research team is growing, and we are looking for a Senior ML Engineer to join the team.
Not Your Typical Senior ML Engineer Role
As an ML Engineer, you will play a key role in the challenge of developing our core product using cutting-edge technology and significantly contributing to our data-for-justice revolution. You possess extensive expertise in ML along with a solid foundation in models and infrastructure development.
There is no one way of doing things. We are open to new ideas and we encourage creativity, new initiatives and entrepreneurial minds.
Responsibilities:
Apply cutting-edge solutions while leveraging our in-house legal textual database, coupled with rich metadata of various features
Develop scalable models and tools using machine learning to extract information from unstructured text
Analyze and generate insights from legal documents using ML and GEN AI
Develop MLOps infrastructure to support our ML models and pipelines.
Work alongside machine learning experts, technologists, product managers, and legal domain experts from across the organization to solve complex problems.

We're seeking a dynamic AI Guild Manager to spearhead our AI-first transformation.
This leader will build, manage, and inspire a cross-functional AI Guild focused on educating, ideating, and delivering cutting-edge AI solutions across our company. You'll work closely with the CEO and other stakeholders to embed AI concepts into our processes, product development, and decision-making. If you are passionate about driving innovation with AI, GenAI, ML, and NLP, and possess hands-on technical expertise with a strong entrepreneurial spirit, this is the perfect role for you!
What am I going to do?
Build and Lead the AI Guild: Recruit, retain, and provide guidance to a high-performing team of AI practitioners across various areas of expertise.
AI Strategic Vision: Partner with the CEO and executive team to establish and execute a company-wide AI strategy that aligns with business objectives.
Educate and Innovate: Design and run AI training programs for employees, and facilitate knowledge-sharing on best practices and potential applications of AI. Create a culture of continuous AI learning and exploration.
Ideation and Solutioning: Actively collaborate with various teams to understand problems and opportunities; ideate and prototype AI solutions.
Technical Acumen: Provide hands-on expertise in the design, development, and deployment of AI models, particularly using cutting-edge techniques in GenAI, ML, and NLP.

The worlds largest content recommendation platform, is hiring a Staff Machine Learning Engineer.
What are some of the things you do on a day-to-day basis?
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms models in a production environment and then monitoring and maintaining them
Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
Work on a daily basis with some of the hottest trends in todays job market: machine/deep learning, big data analytics/engineering and cloud computing
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems
Influence directly on the way billions of people discover the internet
Work on projects such as Internet Personalization, Content Feed, Real Time Bidding, Video Recommendations and much more
Our tech stack:
Python, Java, TensorFlow, Spark, Kafka, Cassandra, HDFS, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes and Docker.

Join the forefront of innovation as a fullstack Generative AI Engineer, where cutting-edge technology meets transformative solutions.
we're not just developing products; we're revolutionizing the accessibility domain with the power of generative AI.
Our mission is to make digital products universally accessible, leveraging the latest advancements in AI technology.
This is your chance to be part of a groundbreaking journey, creating end-to-end products that are not only technologically advanced but will also make the digital world accessible to everyone.
Your Impact & Responsibilities:
Design, develop and implement products that incorporate generative models, knowledge retrieval and task specific prompt engineering
Find creative solutions to bypass existing LLM blindspots and weakness
Research and stay updated with the latest trends and advancements in Generative AI
Deliver solutions to production in collaboration with backend and frontend teams

Join the forefront of innovation as a fullstack Generative AI Engineer, where cutting-edge technology meets transformative solutions.
we're not just developing products; we're revolutionizing the accessibility domain with the power of generative AI.
Our mission is to make digital products universally accessible, leveraging the latest advancements in AI technology.
This is your chance to be part of a groundbreaking journey, creating end-to-end products that are not only technologically advanced but will also make the digital world accessible to everyone.
Your Impact & Responsibilities:
Design, develop and implement products that incorporate generative models, knowledge retrieval and task specific prompt engineering
Find creative solutions to bypass existing LLM blindspots and weakness
Research and stay updated with the latest trends and advancements in Generative AI
Deliver solutions to production in collaboration with backend and frontend teams.

Required MACHINE LEARNING SERVING TEAM LEAD
AS A MACHINE LEARNING SERVING TEAM LEAD , YOU WILL-
Direct a team of ML engineers and Data scientists, known for delivering production-ready solutions.
Collaborate with research teams to architect machine learning and deep learning infrastructure that supports the serving of many AI models, their deployment, and monitoring.
Foster a culture of excellence, data-driven discussions, healthy skepticism, intellectual curiosity, knowledge sharing, and teamwork. Guide the technical learning, professional development, and career progression of your team members, helping us nurture the technology leaders of tomorrow. Uphold high standards for engineering excellence and drive innovation within our AI/ML function.
Discover and assess new technologies to enhance the performance, cost-effectiveness, maintainability, and reliability of our machine learning systems, and the efficiency and effectiveness of our ML models.