לוח משרות דרושים NLP/Machine Learning

Required Applied Algorithmic Researcher
Job Description Summary:
As an NLP Specialist you will work in the CTO group and be responsible for tasks across all of the applied algorithmic research aspects of allowing us to support autonomous coding for a medical subspecialty.
Responsibilities
Providing high coverage and fidelity autonomous coding for your assigned medical specialty. This includes, of course:
Data acquisition
Interaction with domain experts including
Annotation team(s)
Auditors
Interacting with:
Product Managers
Peer researchers
Research engineering
Data cleaning
Coding consistency
Synthetic medical data generation
Designing, training, evaluating, improving and maintaining machine learning models, including cutting edge deep learning models.
Designing, implementing and maintaining machine learning and research pipelines
Conducting applied algorithmic and reproducible research
Delivering timely updates to ever improving autonomous coding capabilities.

Are you a talented Data Scientist with expertise in image analysis and text reading? Are you passionate about leveraging cutting-edge technologies to drive innovation in the field of electronic component inspection?
Look no further!
we are seeking a skilled Data Scientist to join our dynamic team.
As a Data Scientist specializing in image analysis and text reading, you will play a pivotal role in developing and enhancing our AI-driven solutions for quick and accurate component inspection in electronic manufacturing.
Responsibilities:
Develop and implement advanced algorithms for image analysis and text reading in the context of component inspection.
Collaborate closely with cross-functional teams to enhance existing models and drive continuous improvement.
Work with large-scale datasets, applying statistical and machine learning techniques to extract meaningful insights.
Stay updated with the latest advancements in the field of image analysis and text reading and apply them to enhance our solutions.

:As a Data Scientist, you will play a key role in developing data processing pipelines, applying machine learning techniques, and deriving insights from various types of neural and biodata, including EEG, heart rate, movement-related data, and similar. Your contributions will be crucial in advancing our neurotechnology projects. Relevant for students with an existing degree.
Key Responsibilities:
Develop and maintain data processing pipelines for complex signal data.
Apply machine learning techniques to analyze neural and biodata.
Derive actionable insights from diverse datasets to support neurorecovery solutions.
Collaborate with a multidisciplinary team to innovate and implement AI-driven approaches.

We are looking for an Applied AI Engineer who has experience with the end to end lifecycle from research to deployment. Strong Javascript/Typerscript skills are an absolute MUST for this role.
The AI department is focused on bringing value to our customers through the development of algorithms and analytical solutions. As an applied AI Engineer in the department, you will be a valuable member of an innovative and technical data science team working on various problems. The department uses a wide variety of advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLQ, anomaly detection, image generation, time series, and more).
The team uses versatile methods and state of the art tools to deliver the most accurate insight and optimal decisions to our customers.
We are responsible for the design, research, development, deployment and maintenance of these tools, hence part of our work includes writing and deploying production code.
What You'll Be Doing:
* Understand and explore the e-commerce domain, research, build and deliver sound insights, recommendation and automation solutions.
* Collaborate with fellow team members on exciting and challenging projects.
* Use state of the art tools to achieve high and robust performance.
* Research, develop and maintain our AI repositories with quality algorithms by writing maintainable, performant code.
* Deploy and maintain your researched ML Models at scale within our cloud environment
* Implement the MLOps philosophy in everything you do.
* Collaborate with Product Managers, Dev and Data Engineers to provide great impact at scale while expediting model life-cycle.
* Constantly search for data driven value propositions for our clients.
* Constantly improve our models quality, and performance.
* Desire to continually keep up with advancements in data science practices.

As a Machine Learning practitioner, you'll collaborate closely with our data science, research, Innovation, and software development teams to create, train, and deploy machine learning models.
Your work will contribute to the development of AI systems that revolutionize cyber threat detection.
Responsibilities:
Design, train, and deploy machine learning models and pipelines to enhance cyber threat detection capabilities.
Leverage the company's extensive real-world threat data to train and optimize machine learning models.
Work closely with a global team of cybersecurity researchers and data scientists to apply the latest advancements in machine learning and deep learning technologies.
Offer technical expertise and guidance to development teams, ensuring they effectively leverage AI/ML technologies and best practices
Continuously research and implement the newest machine learning techniques to enhance our products and services

Our rapidly expanding platform for plagiarism detection and content authentication needs an experienced data scientist.
We are looking for someone who will take our AI algorithms to the next level and add deeper string processing capabilities to our platform.
Responsibilities:
Implementing complex automated tests.
Works with other departments to participate in specification, design, code, and test reviews.
Evaluate problems to develop solutions relating to computer software.
Improves existing programs by analyzing and identifying areas for alteration.
Contributes to project planning and project management.
Interacts with all internal and external sources necessary to successfully complete assignments.
Create and present findings, solutions, and demos.
Performs other duties as assigned.

Required Computational Linguist (NLU)
If youre the one youll be working on the most incredible sales-assistant in the industry.

Required Senior ML Engineer
Responsibilities:
As a Senior Machine Learning engineer, you will be working directly with our Head of R&D and will take a major role building our Pragmatic Intelligence Engine using and experimenting with S.O.T.A Deep Learning architectures, including: Multi-Layer Perceptron Neural Network, LSTM, mLSTM, CNN, RNN, VDCNN, etc.

Join our passionate Analytics Research team and be the AI researcher behind industry-leading Customer Engagement solutions. Leverage your NLP expertise to design and evolve cutting-edge tools for our interaction analysis. Empower organizations with actionable insights, helping them optimize processes, improve performance, and create exceptional customer experiences.

Responsibilities:
Research and development of state-of-the-art NLP based solutions.
Pushing the state-of-the-art NLP based capabilities forward, to provide analytical solutions to product users.
Research and problem solving for customer engagement projects.
You will be engaged and working on other Interaction Analytics agendas including big data algorithms and machine learning technologies.

We are looking for a Principal Product Manager to lead AI Data Security and CoPilot initiatives. In this pivotal role, youll lead the development and market launch of cutting-edge AI security and advanced CoPilot products that are central to our growth strategy.

Youll play a pivotal role in shaping the future of AI security by addressing critical challenges, from identifying and protecting sensitive data used by LLMs to ensuring robust governance and effective remediation of AI risks.

What you'll do:

Lead the development of AI Security and Governance solutions, empowering customers to adopt AI technologies with speed, safety, and responsibility, driving innovation while safeguarding their most critical assets.
Work closely with cross-functional teams, including engineering, sales, and marketing, to deliver products that address real-world security challenges, positioning as a leader in AI security and governance.
Engage directly with customers to understand their evolving needs and translate these insights into product innovations that enhance their AI security posture.
Align product development with long-term growth strategy, ensuring our AI data security suite remains at the forefront of the industry.

Rail Vision is a multidisciplinary startup headquartered in Ra'anana. We utilize the latest Artificial Intelligence and Electro Optics technologies and develop lifesaving, vision systems for the global railway market. We are looking for an experienced and sharp Algorithms Team Lead with management experience and a solid understanding in Deep Learning and Computer Vision in order to effectively lead a team of 4 researchers who develop the core networks and algorithms for collision avoidance, utilizing multiple cameras at multiple wavelengths and zoom, multiple corresponding inertial and location hardware. What will you do?
* Leading a team of 4 researchers and communicate with other research teams.
* Developing the next generation algorithms including different CNN architectures, CV algorithms and algorithms that utilize Physics in complex environment.

Advantages:

* Familiar with Electro optics devices (Thermal cameras, lenses, etc.)
* Experience working in multidisciplinary environments
* Experience in the automotive industry