לוח משרות דרושים NLP/Machine Learning בתל אביב יפו

We are looking for data scientists that are passionate about applied and theoretical research in the realm of computational linguistics. As a data scientist, you will join us on our quest to develop novel approaches for generalized AI that can understand and generate natural language. As such, you will study linguistics and mathematical phenomena in order to create new state-of-the-art NLP models that can be applied on, and generalize across multiple domains and use cases.

If you're excited about researching unsolved machine learning problems and have a weakness in building a full-scale infrastructure to do so, we encourage you to apply for this role as an ML Researcher at Autobrains.
RESPONSIBILITIES:
Design algorithms from first-order principles to resolve edge cases of neural nets, given a binary representation of these edge cases.
Apply tools from deep-learning, machine learning, classical algorithms, data structures, etc.
Implement your algorithm elegantly in Python, and supply performance indicators to validate the performance of your design.

We are looking for a Senior Data Scientist.
As a Sr. Data Scientist, you will be spearheading the analysis of tens of thousands of patient-therapist conversations, working closely with our leadership, product, and clinical experts team, to derive insights that directly improve therapy sessions for thousands of people.
This is a unique opportunity to join a startup with real impact on the wellbeing and mental health of thousands, applying cutting edge technology for solving a meaningful human problem with huge financial and psychological implications.
How will you contribute?
Lead data science projects that directly influence the work of thousands of psychologists, psychiatrists, and other caregivers.
Develop end-to-end AI solutions from the research phase through to production.
Identify and leverage cutting-edge technologies to facilitate their integration into our products.
Mentor and provide technical guidance to other team members.
Play a critical role in designing the companys products.

Were looking for the first senior data scientist to join our analytics department. The ideal candidate will have a strong background in data science, artificial intelligence, and advanced analytics.
This role requires a passion for data, excellent problem-solving skills, and the ability to develop and implement AI-driven solutions to solve complex business challenges.
How youll shape the future of B2B sales:
Collaborate closely with the analytics team to develop and implement AI-driven models and analytical solutions.
Analyze large and complex data sets to identify trends, patterns, and insights that drive business decisions.
Develop and maintain machine learning and AI models to support predictive analytics, business forecasting, and other advanced analytical needs.
Create and present detailed reports, visualizations, and dashboards to communicate findings and recommendations to stakeholders.
Conduct exploratory data analysis and identify opportunities for data-driven improvements and innovations.
Work closely with cross-functional teams to gather and interpret data, ensuring alignment with business objectives.
Stay up-to-date with the latest industry trends and advancements in AI and data science.
Mentor and provide guidance to junior data scientists and analysts within the team.

We're revolutionizing how fans receive and interact with live sports updates and data. Our platform combines the intensity of live sports with cutting-edge technology to deliver a personalized experience to millions of users worldwide.
About The Role: As a data Science team leader, you will lead our ambitious Machine Learning and AI initiatives. This role involves leading a strong team of data scientists & ML engineers, focusing on impactful and continuous delivery that directly ties Machine Learning models to business outcomes.
Responsibilities:
* Lead the full lifecycle of Machine Learning and AI projects, from ideation through execution, ensuring they align with business objectives.
* Mentoring team members, and establishing best practices and efficient processes.
* Manage a diverse portfolio of machine-learning models, balancing immediate needs with long-term innovative projects to maximize business impact.
* Analyze a wide array of data inputs to identify opportunities that align with company goals, transforming complex business and product challenges into actionable data science initiatives.
* Collaborate with stakeholders across the organization to drive multiple, concurrent projects to successful completion.

We are looking for a passionate, motivated, and innovative Senior Data Scientist to join our team!
If you value personal and career growth, teamwork, and winning this role is for you!
This position will be part of our Innovation department.
we explore new market opportunities and applications to build and bring to market industry-leading solutions that deliver new value for customers and fuel the companys expansion.
We operate as an independent unit, enjoying flexibility, numerous opportunities to make a significant impact, and engaging in meaningful and challenging work. Additionally, we have access to resources, which enables rapid progress and reduced risk.
What your day will look like:
Be part of the founding data-science team, implementing new and exciting features, end-to-end, along with the product team, focusing on the algorithmic and machine learning aspects embedded in all our products.
As part of the founding team, you will be able to grow as a data scientist and define the theoretical and technical directions, and you will enjoy a lot of autonomy, responsibility, and ownership.
Apply your scientific knowledge and creativity to analyze large volumes of diverse and unstructured data and develop algorithmic solutions and models to solve complex problems.
Characterize and break down product use-cases effectively, choosing the right formalization and tools to best tackle them.
Research, design and apply advanced data processing technologies and methodologies, from a research playground to production. Contribute best practices to our backend applications and help pick the right frameworks and tooling for Axonius's next product.
Work closely with other team members, such as backend developers, product managers and data engineers, across all Axonius groups and departments.
Build and promote quick prototypes/POC/demos to conceptualize innovative ideas
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms and machine-learning 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.

The ideal candidate will have industry experience working on a range of recommendation, classification, and optimisation problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the worlds leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.
Software Engineer, Machine Learning Responsibilities
Leading projects or small teams of people to help them unblock, advocating for ML excellence
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
Suggest, collect and synthesize requirements and create effective feature roadmaps
Code deliverables in tandem with the engineering team

Software Engineer, Machine Learning Responsibilities
Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellence
Adapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU)
Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriate
Leading a team from a technical perspective to develop ML best practices and influence engineering culture
Be a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in depth knowledge of how the machine learning system interacts with systems around it
Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
Suggest, collect and synthesize requirements and create effective feature roadmap
Code deliverables in tandem with the engineering team

The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the worlds leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.
Software Engineer, Machine Learning Responsibilities
Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
Suggest, collect and synthesize requirements and create effective feature roadmap
Code deliverables in tandem with the engineering team
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)

We are seeking for an experienced, hands-on Senior ML Engineer to join the Artifactory group and lead the implementation and integration of AI/ML solutions in the product.

As a Senior ML Engineer you will...
Understand our users challenges and how to integrate and implement AI/ML solutions to solve those challenges
Work with stakeholders such as Engineers, Product Management, and Analysts to translate business problems to technical requirements and solutions
Design, develop, and implement POCs for ML models and GenAI solutions to address business needs and objectives
Provide technical guidance and mentorship to development teams on AI/ML technologies and practices
Build ML capabilities from ideation to production

Were growing and are currently looking for an NLP Data Scientist to join our team, and help us through the research and development of cutting-edge algorithms while handling massive amounts of data.
Responsibilities:
Responsible over algorithmic features from inception to production
Research new technologies and adapt them for use in the product
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithms to solve complex problems
Write and implement efficient code.

We are looking for a Staff-level AI / Machine Learning Researcher who will be directly involved in developing our core technology and ensuring we are always staying ahead of cybercriminals.

What Will You Do?
You'll be part of a team of globally distributed AI engineers and researchers, focused on bringing the most recent advances in machine learning technology to help our customers efficiently discover and defeat threats. We're the team behind products such as PurpleAI (released for general availability in April 2024, see also the latest demo), awarded one of the Top10 hottest cyber products of 2023, and more!
As a ML specialist on the team, you will ideate and create features that will help our engineering teams as well as support our customers by providing better visibility into the health of the endpoints in the field.
You will collaborate across multiple engineering teams to design and build net new capabilities that will be used across industry-leading platform.
As Staff-level engineer, you should be willing and able to inspire others and lead them technically.
As we're extending our team by more new colleagues, your focus may be directed more to either Science side (take functional requirements in ML/AI from ideation to delivery) or Platform side (efficiently deliver models & science systems into production) - depending on your skills, experience & interests.

Were looking for an Engineering Manager to join forming Data Security Posture Management (DSPM) team. DSPM is a strategic component of Cloud Security offering designed to prevent malicious actors from utilizing cloud storage and providing a classification of structured and unstructured data utilizing AI to our customers.

As a manager, you will be responsible for the DSPM team. Play a key role in defining the team strategy, architecture, and working procedures. You will interact with peer engineering managers, Product management, sales, and marketing.

What will you do?

Build a high-performing agile team, from hiring to establishing Agile practices
Help grow team members to their maximum potential
Define, evangelize, and maintain the strategy and vision for DSPM within the Singularity for Cloud Security platform.
Establish RnD priorities for what needs to be developed and when.
Engage cross-functionally with customers, partners, product groups, sales engineering, and solution architects to deliver best-in-class product solutions.

The Detection Team is looking for an experienced machine learning engineer to join our Static AI team. The Static AI team develops state-of-the-art machine learning models that operate on millions of machines across the world to make sub-second decisions to stop malware before it runs. The team brings together cross-functional skill sets including data science, ML engineering, and software engineering, to research, develop, ship, and support ML malware detection engines across Windows, Mac, and Linux machines and cloud environments.

What you will be doing

Design and deliver innovative ML-based detection engines
Research new approaches to AI/ML and work with your peers to integrate the most promising advancements in ML into our product
Build analytics systems that learn from a wide variety of internal and external data sources to improve our existing ML models and create new ones

We are looking for a Principal Product Manager to join AI Security Innovation Center. In this role, you will lead the creation and launch of products dedicated to securing AI within enterprises. Our AI Security products focus on protecting AI and Machine Learning models, algorithms, and their underlying data. This is a very visible and hands-on PM role dedicated to one of our important areas of innovation and helping to secure our customers most cutting-edge technologies. You will interact with executives, engineering, sales, marketing, peers in product management, and most importantly, customers.

What will you do?
Define and execute the product vision, strategy, and roadmap for our AI Security products
Establish priorities for what features we should build, when we should build them, and why.
Work closely with cross-functional teams to design, develop, and deliver AI/ML-powered solutions that meet customer needs
Conduct market research and analysis to identify trends and opportunities in the AI and cybersecurity industry
Develop and maintain a deep understanding of customer needs and pain points
Collaborate with engineering, research, and data science teams to ensure successful implementation of AI/ML solutions
Manage the release of AI Security products, including capabilities, features, workflows, and pricing and packaging.
Work with sales and marketing teams to develop go-to-market strategies and launch new products
Measure and analyze the success of AI Security products and iterate to improve customer satisfaction and business outcomes
Stay up-to-date with the latest trends and developments in AI/ML and cybersecurity and apply this knowledge to improve our products