לוח משרות דרושים NLP/Machine Learning

we are looking for a NLP Algorithm Developer to join us in research and development of our next-generation automatic sports video content engine. If you are passionate about state-of-the-art NLP and Multimodality AI research- we are looking for you!
What youll do:
Research and develop end-to-end real-time solutions for sports content automation using state of the art deep learning algorithms for text, speech, audio and data analysis.
Full R&D cycle, from problem definition and research to implementation and productization with a high level of autonomy.
Develop the algorithms that drive our diverse range of products.
Combine deep language models, state-of-the-art Generative models and classical ML/NLP techniques to create high-quality solutions for demanding product-oriented NLP tasks.
Engage in collaboration with product, account, and customer success teams to establish success criteria and convert them into measurable objectives and quantitative measures.
Conduct training and evaluation of models within practical production scenarios.

we are looking for a Senior NLP Algorithm Developer to join us in research and development of our next-generation automatic sports video content engine. If you are passionate about state-of-the-art NLP and Generative AI research - we are looking for you!
What youll do:
The teams main focus: NLP & Generative AI.
Research and develop end-to-end real-time solutions for sports content automation using state of the art deep learning algorithms for text, speech, audio and data analysis.
Full R&D cycle, from problem definition and research to implementation and productization with a high level of autonomy.

oin us and be a part of the best team in tech as we Fuel the Fandom worldwide.
As an NLP team lead, you will solve hard business problems using SOTA NLP models, in the realm of text generation, text classification, question answering, information retrieval and more. You will pretrain, fine-tune and deliver to production large language models (LLMs), in multiple languages, and use your knowledge and creativity to answer business problems using real data. Youll also work with the Product team to shape product roadmap, and contribute to brainstorming sessions on NLP projects.
What youll do:
Lead a team of exceptional NLP researchers.
Teach, mentor, and counsel the team, supporting their growth and professional development
Initiate, plan, prioritize, and manage ML projects, solving a real business problem for the largest sports organizations.
Translate business challenges into ML projects, brainstorm to identify optimal approaches, and conduct hands-on research to integrate data, product insights, and algorithms, generating business value.
Supervise production deployment, monitoring, and continuous learning of NLP models to ensure their optimal performance and adaptability.
Continuously evolve and help others evolve professionally, through joint work and mentoring, contributing to weekly brainstorming sessions, and staying up-to-date with the latest ML developments
Collaborate closely with Product and BizDev teams to align NLP initiatives with business objectives and product strategies.

Chief Technology Officer ( CTO ) & Co-Founder.
Full-time Israel (Remote).
About us:We are second-time entrepreneurs and investors with a strong track record of success and a significant backing behind us. Our vision is to put this capital to work by building a world-class trading company powered by cutting-edge AI.
we are developing advanced reinforcement learning algorithms for trading the financial markets. Youll be joining a small, elite team of highly successful entrepreneurs with proven experience, powerful networks, and the resources to scale fast. Together, were creating adaptive AI systems that optimize strategies, manage risk, and deliver smarter, more profitable trading outcomes.This role:We are seeking a Chief Technology Officer ( CTO ) & Co-Founder to lead the technical vision and execution of our AI trading platform. This is not just a job - its a chance to co-found and build the future of financial AI. You will drive research, development, and scaling of our reinforcement learning models, ensuring innovation while aligning technology with business goals.Responsibilities:Define and execute the companys long-term technical roadmap.Lead R&D in reinforcement learning, algorithmic trading, and financial AI systems.Build, mentor, and manage a high-performing engineering and data science team.Oversee system architecture, infrastructure, and deployment of trading solutions.Collaborate closely with business leadership to align product and technology strategy.Ensure strong risk management, scalability, and security practices in all systems.
How to Apply: Submit your CV and a short intro about your experience in AI and trading systems to our e-mail or WhatsApp.

Our algorithms team is responsible for all of the deep learning and computer vision challenges the company is facing, tackling complex real-world problems that directly affect the companys success. Youd be joining a team of experienced researchers leading the research and implementation of our algorithmic engine analyzing large streams of visual data from construction sites, together with 3D models.



What you'll do:

Research and design deep learning solutions for different computer vision problems, using tremendous amounts of visual and 3D data to meet unmatched accuracy and reliability demands.
Own the complete research cycle, from requirements to design, implementation, and benchmarking, producing innovative solutions for core company problems.
Be part of a vibrant team of bright and experienced engineers bringing the construction industry into the digital age.

Data-driven insights. Help identify new products and opportunities for the company in diverse domains.
Develop Machine Learning models. Define requirements & combine data from a wide set of sources to develop ML/DL models that will automate and speed up our business processes.
End to end model management. Conduct in depth research, POC, write production-grade code and implement it (all the way to production) using our MLOps Infra to solve a diversity of business problems

We are seeking a Product Manager for AI Platform, to lead most critical evolution: the transformation to an Agentic Platform.

This role operates as a "Startup within a Startup." You will own the end-to-end AI domain, from building the underlying technical infrastructure to launching the interfaces our customers interact with.

You will drive the entire product lifecycle: bringing innovative ideas to the table, executing on early versions, and collaborating closely with internal teams and design partners to validate value. Your ultimate goal is to mature these capabilities from early concepts into core platform standards, driving mass adoption across our entire user base.

You will serve as the knowledge center for the organization, guiding how the entire platform must evolve to support the next generation of autonomous engineering.

What You Will Be Doing

Lead AI product domain from ideation to launch of customer-facing AI interfaces and agents
Design and manage AI Agents platform, enabling customers to create, manage, and run AI agents
Drive ecosystem initiatives to make the platform native to agents through API improvements, MCP integration, and agent-accessible protocols
Define strategic direction for making "AI-Native," guiding data architecture for effective AI agent interaction
Own product roadmap and prioritization, balancing immediate needs with long-term Agentic architecture investments
Advocate across product and R&D teams to integrate AI-native interfaces and drive AI-first development mindset
Identify high-impact opportunities through customer discovery and experimentation with cutting-edge AI technologies
Collaborate with engineering and design to translate AI capabilities into intuitive, trust-building user experiences
Analyze adoption metrics and feedback to optimize AI performance and increase trust in autonomous workflows
Act as company AI center of excellence, enabling Sales, Marketing, and CS teams to articulate Agentic Engineering value

Required Data Science Engineer
About the Team
Our team focuses on delivering cutting-edge, AI-powered automated application security features within our ASPM product. We are a dynamic, agile team emphasizing seamless transitions from design to production, deployment, and ongoing monitoring. We excel at operationalizing machine learning, data science, and AI solutions into robust, secure, and high-performance security capabilities.
What You Will Do
Be a core member of a cross-functional AI innovation team, collaborating closely with software engineers, MLOps specialists, and analysts.
Design, build, and optimize end-to-end AI-driven features - from experimentation and model training to validation and deployment.
Develop production-grade code (Python and C#) to integrate advanced models and data-driven capabilities into our core products.
Continuously evaluate model performance and data quality in real-world settings, proactively driving improvements, retraining, and robust monitoring.

our company has been at the forefront of the deep learning revolution, pioneering innovations that have transformed the entire field. As the leading provider of GPUs and AI computing platforms, our company has empowered researchers and engineers worldwide to accelerate breakthroughs in artificial intelligence.
We seek a versatile Senior Software Engineer who is passionate about performance optimization and generative AI. Our team builds software solutions that enable efficient inference on the latest and greatest generative AI models. We tackle problems on all levels of the stack-from server-level request batching to GPU kernel fusion-and collaborate with teams across diverse disciplines to push our company's hardware to its full potential.
What youll be doing:
Cooperate with research teams to onboard new LLMs and VLMs into our company's opensource AI runtimes
Optimize inference workloads using sophisticated profiling and simulation tools
Build SOLID, extendable inference software systems, and refine robust APIs
Implement and debug low-level GPU code to harness the latest HW features
Own end-to-end inference acceleration features and work with teams around the world to deliver production-grade products.

we are seeking a senior NLP Data Scientist to lead our marketing language predictive modeling. Youll explore complex datasets, build and fine-tune advanced NLP/LLM models, and partner closely with engineering and product to integrate your work into AI content platform.
Responsibilities:
Define and own the technical strategy and roadmap for marketing language predictive modeling
Analyze, process, and derive insights from our ever-growing data resources
Solve challenging prediction problems by applying the latest ML/NLP techniques to build and fine-tune highly performant LLMs
Collaborate with engineers and product managers to ship models end-to-end, from research to production
Monitor and iterate on models using offline and online metrics

We are seeking a visionary Director of Algorithm to join our leadership team and report to the VP of R&D. This is a high-impact strategic role for a leader who combines deep expertise in machine learning and advanced AI with a proven track record of turning innovation into measurable business results.

As Director of AI, you will lead and expand a group of algorithm engineers embedded in Product pods, play a pivotal role in roadmap planning, and balance cutting-edge research with practical productization. You will drive cross-organizational initiatives that elevate our products and operations, defend our competitive moat, and unlock new opportunities for growth and innovation.

Key Responsibilities

Team & Talent Leadership

Manage, mentor, and inspire a team of algorithm engineers, fostering technical excellence and career growth.
Scale the AI team through hiring, skill development, and cultivating a strong data science culture.
Promote cross-functional collaboration, execution, knowledge sharing, and experimentation.
Attract senior AI talent to build strong teams.
AI Roadmap & Innovation

Execute the AI roadmap, aligned with the company strategy and product vision.
Introduce state-of-the-art techniques to solve complex challenges.
Drive initiatives that push the boundaries of whats possible, turning AI into a measurable business differentiator.
Technical Leadership

Personally led the resolution of the most complex AI/ML challenges.
Architect and guide the implementation of production-ready ML systems, ensuring robustness, accuracy, and low latency.
Maintain a strong applied research perspective while delivering practical, business-impacting solutions.

Defending & Expanding Our Moat

Keep us ahead of industry shifts by monitoring emerging technologies and evaluating competitive threats.
Build defensible AI assets - unique data pipelines, proprietary models, domain-specific enhancements - that are hard to replicate.
Shape intellectual property (publications, patents, methodologies) that strengthens our positioning.

Architect and Evolve Data Infrastructure- Design and implement scalable data pipelines, Data Lakes, and Data Warehouses to support analytics, AI, and product intelligence.
Build and Deploy AI-Powered Systems- Operationalize AI/ML models- from prototyping to production-grade inference- ensuring performance, monitoring, and reliability.
Enable BI and Analytics- Collaborate with business and product teams to turn raw data into actionable insights, visualizations, and predictive metrics.
Ensure Data Quality and Governance- Establish standards for data collection, validation, lineage, and retention.
Leverage LLMs and AI APIs- Integrate modern large language models and external AI services for chatbots, insights generation, and automation use cases.
Collaborate Across Teams- Work closely with engineers, ML specialists, and product stakeholders to align data and AI architecture with business goals.

Were seeking a Team Lead Generative AI Engineer to lead a team of engineers in designing, developing, and deploying production-grade AI systems. This role is ideal for someone who is both a strong technical contributor and an experienced people leadercapable of driving architecture decisions, mentoring team members, and delivering innovative AI solutions at scale.
You will be responsible for guiding the end-to-end lifecycle of Generative AI applications, ensuring technical excellence, scalability, and alignment with business needs. This includes working across backend systems, RAG pipelines, prompt engineering, and cloud-native deployments.
Key Responsibilities
Leadership & Team Management Lead and mentor a team of AI/ML engineers, fostering growth and technical excellence.
Define and enforce coding standards, architectural patterns, and best practices.
Collaborate with stakeholders to translate business needs into AI-driven solutions.
Manage project timelines, technical risks, and team deliverables.
Generative AI & Prompt Engineering Integrate and optimize applications using LLM provider APIs (OpenAI, Anthropic, etc.).
Design prompts with advanced techniques (few-shot, chain-of-thought, chaining, context crafting).
Implement safeguards (guardrails, structured output validation, injection protection).
Architecture & Backend Development Build scalable backend services in .NET (C#) and Python, working with SQL and APIs.
Develop and manage RAG pipelines, conversational AI systems, and summarization tools.
Drive observability: tracing, logging, monitoring for LLM-powered systems.
Evaluation & Optimization Benchmark and evaluate LLMs using custom datasets and automated testing.
Oversee system reliability, performance tuning, caching, and optimization.
Ensure solutions meet enterprise-grade standards for security and scalability.

We are looking for an experienced Data Science Manager to work on incredibly interesting projects as we take our personalization capabilities to the next level. You will focus on leading the team that are developing and advancing ML/AI across our platforms, researching and investigating new machine learning applications within the company, and improving pre-existing models.

Role & Core Responsibilities
Lead, mentor, motivate and inspire a small team of Machine Learning Engineers & Data Scientists.
Own the model development and release process across all products and internal platforms, including both OptiX and .
Manage the cloud-hosted modelling environment.
Operationalize models as APIs working in real-time and batch environments.
Monitor production models, ensuring data quality and model performance.
Develop predictive machine learning models for classification, ranking, and personalization purposes, utilizing multi-modal data including images and text.
Leverage LLMs and other cutting-edge technologies to enhance product capabilities.
Collaborate closely with product and development teams to define and prepare new ML applications.
Analyse performance and continuously improve scoring processes for hosted models.