דרושים » תוכנה » AI / Machine Learning team lead בחברת סטארט-אפ

Join our innovative team at our company, where you will play a pivotal role in developing advanced deep neural networks essential for our key products. You will join a collaborative team dedicated to developing real-time vision models that power the vehicle's understanding of its environment, combining research with hands-on product development. As part of our team, you will be responsible for the full cycle of deep learning R&D, modeling new solutions and enhancing the performance of existing ones, ensuring our solutions meet the needs of our company's autonomous vehicle technologies, advanced driver-assistance systems and external customers. This position offers the opportunity to be part of a fast-paced and forward-thinking environment, for those who are equally comfortable exploring new techniques and refining existing models to production-grade quality.
What will your job look like?
Design, develop, and implement deep learning algorithms for solving complex problems in the area of computer vision
Conduct goal-oriented research, evaluate existing models and techniques, and propose innovative approaches to improve algorithm performance and accuracy
Optimize existing algorithms to improve performance and scalability
Collaborate with cross-functional teams to understand requirements and develop solutions.
Research latest advancements in deep learning, multi-task learning, AI architectures and apply them to enhance our algorithms.

we are a global leader in autonomous vehicle (AV) technology, pioneering advanced driver-assistance systems (ADAS) and self-driving solutions. Across the company, Senior Deep Learning Algorithm Developers work at the forefront of AV/ADAS innovation - designing, training, and optimizing deep neural networks for tasks such as perception, mapping, and scene understanding. This includes working with large-scale datasets, leveraging frameworks like PyTorch or TensorFlow, and applying state-of-the-art techniques to tackle complex perception and decision-making challenges in real-world driving scenarios. At our company, Senior Deep Learning Algorithm Developers contribute across multiple AI domains, with most opportunities in Computer Vision and additional roles in areas such as NLP/LLMs and 3D Perception (Radar, LiDAR, Fusion). This role serves as a central entry point, enabling us to align your expertise and aspirations with the projects and teams where you can make the greatest impact.
What will your job look like?
Design, develop and implement deep learning algorithms to solve complex problems in computer vision
Take ownership of deep learning projects: Compose product requirements, design solutions, oversee execution, and collaborate with talented Algorithm Developers.
Collaborate with cross-functional teams to understand requirements and develop solutions.
Analyze large datasets to improve algorithm performance and robustness.
Research the latest advancements in deep learning, multi-task learning, AI architectures, and apply them to enhance our algorithms.

, we are looking for smart and humble team members to join the team and solve complex problems. Our technical challenges include developing new trading strategies, , improving the performance of our algorithms, finding new ways to beat the markets.
As an ML researcher you will collaborate with our R&D team to execute live trading strategies. If you are looking to make an impact by putting into practice successful ideas and seeing immediately the outcome, make influence on financial performance this is a great opportunity.
In this role you will:
Mange and lead independent research applying ML/DL methods to a wide variety of datasets.
Creatively find new trading strategies
Work with other team members to optimize Algorithms

In one sentence
we are a global leader in software and services for communications, media, and digital enterprises. As AI reshapes the future of software, we are harnessing its power to transform networks, IT systems, and business operations.
We are building a pioneering AI Evangelist team, and we are seeking a leader who will shape the vision, strategy, and execution of this group. This role combines technical depth, strategic thinking, and people leadership to accelerate AI adoption inside our company and establish us as a thought leader in the global AI ecosystem.
What will your job look like?
1. Strategic Leadership & Team Building
Define and execute the strategy for AI Evangelism and Enablement across our company.
Build, manage, and scale a high-performing team of AI Evangelists.
Attract, hire, and develop top talent; foster a culture of innovation, collaboration, and continuous learning.
Set clear goals, measure impact, and align team efforts with our companys broader AI transformation agenda.
2. Internal AI Enablement
Partner with engineering, product, and business leaders to embed AI/GenAI tools and workflows into the delivery lifecycle.
Establish organization-wide standards, best practices, and frameworks for AI-assisted development.
Build and nurture internal communities of practice to ensure responsible, scalable adoption of AI.
3. Hands-on Innovation
Guide pilots, prototypes, and proof-of-concepts to demonstrate business impact of AI.
Provide architectural direction for integrating LLMs, AI services, and automation frameworks at scale.
Balance strategic oversight with occasional hands-on contributions to showcase technical credibility.
4. Knowledge Sharing & Capability Building
Drive the development of training programs, workshops, and enablement content.
Mentor Evangelists, Engineers, and Analysts, ensuring they are empowered with skills and confidence to apply AI in real-world contexts.
Establish metrics to measure the adoption, impact, and maturity of AI practices across the company.
5. External Advocacy & Thought Leadership
Represent our company externally at industry events, customer forums, and developer communities.
Publish articles, whitepapers, and open-source contributions that highlight our companys innovative AI adoption.
Identify external trends and translate them into actionable opportunities for our company.

In one sentence
Join our companys cutting-edge amAIz development group, shaping the future of AI-driven solutions for the telecom industry.
We are looking for a dynamic and visionary Development Manager to lead a newly formed, high-impact development team within our companys GenAI & Data organization. In this role, you will manage a talented and independent team of developers focused on building innovative AI products and solutions using Generative AI, Machine Learning, NLP, LLMs, Cloud-native architectures, and microservices.
You will work at the pace of a startup, turning groundbreaking ideas into reality. Collaborate closely with Product Managers and System Architects to develop our companys AI product and deliver end-to-end, scalable, and secure solutions that will revolutionize the telecom industry.
What will your job look like?
Lead and mentor a team of skilled developers, fostering a culture of innovation and technical excellence.
Drive the development of AI-based products and platforms, leveraging Python, React, and modern frameworks like LangGraph and MCP, A2A protocols.
Collaborate with global cross-functional teams, including Product Management and Architecture, to ensure alignment and successful execution.
Operate in a fast-paced, agile environment, balancing multiple priorities and delivering high-quality results.
Champion best practices in CI/CD, DevOps, containerization (Docker, Kubernetes), and cloud deployment (AWS, Azure, GCP).

What We Are Looking For As a VP of AI Security Research you will lead, scale, and inspire multi-disciplinary teams focused on red teaming, sandboxing, adversarial testing, developing red-teaming engines, and guardrail protections for GenAI models and agentic AI systems. In this high-profile role, you will work closely with security research, product, engineering, and compliance teams to shape and deliver the next generation of AI cybersecurity solutions, while combining strategic vision with execution to effectively safeguard LLMs and agentic AI deployments at scale. Key Responsibilities
* Building and scaling global AI security teams, while providing mentorship to senior managers and fostering an innovation-driven security culture.
* Overseeing advanced adversarial evaluations for GenAI models, agentic AI, and multi-agent (A2A) systems, and delivering executive-level threat intelligence and risk assessments to inform corporate AI strategy.
* Defining and implementing AI red-teaming frameworks aligned with OWASP AI Security guidelines, MITRE ATLAS, and NIST AI RMF, and operationalizing automated red-team engines to continuously stress-test models at scale.
* Partnering with product and engineering to design and deploy enterprise-ready AI guardrails, including policy enforcement layers, monitoring pipelines, and anomaly detection systems – and championing secure deployment practices for GenAI (including agent orchestration via MCP and A2A workflows).

About ActiveFence:
Alice is the leading provider of security and safety solutions for online experiences, safeguarding more than 3 billion users, top foundation models, and the world’s largest enterprises and tech platforms every day. As a trusted ally to major technology firms and Fortune 500 brands that build user-generated and GenAI products, Alice empowers security, AI, and policy teams with low-latency Real-Time Guardrails and a continuous Red Teaming program that pressure-tests systems with adversarial prompts and emerging threat techniques. Powered by deep threat intelligence, unmatched harmful-content detection, and coverage of 117+ languages, Alice enables organizations to deliver engaging and trustworthy experiences at global scale while operating safely and responsibly across all threat landscapes.

Hybrid:
Yes

We are looking for a visionary and deeply technical Chief Architect for Data, AI & GenAI Platforms to drive the architecture, tooling, and long-term technological direction of our enterprise data and GAI products and initiatives. This is a foundational leadership role that sits at the intersection of hands-on system design, cross-functional enablement, and long-term strategic innovation.
You will serve as the chief architect and technology strategist across all data, AI, and GenAI efforts-owning the blueprint that powers intelligent products, agent-based experiences, and scalable platforms. Your work will influence product design, platform infrastructure, governance models, and the broader technical ecosystem we operate in.
We are seeking someone with deep, hands-on experience building large-scale, production-grade data and AI systems-combined with the ability to mentor teams, influence engineering leaders, and partner with product and business leadership to deliver enterprise-scale transformation.
Key Responsibilities
Define and own the technology vision, architecture, and evolution roadmap for all data, ML/AI, and GenAI systems across the organization.
Lead the architectural design and hands-on guidance of scalable data pipelines, real-time analytics, AI agent platforms, model hosting infrastructure, and enterprise knowledge frameworks.
Oversee and connect multiple AI and data-related initiatives, including LLM agents, vector databases, RAG pipelines, MLOps, and enterprise data lakes-ensuring coherence, reusability, and security.
Establish and enforce technical standards, patterns, and tooling across teams to ensure high-quality engineering, model performance, and platform scalability.
Partner with product, engineering, and business leaders to align technology strategy with product goals, business outcomes, and customer needs.
Guide the evaluation and adoption of emerging technologies including open-source GenAI frameworks, fine-tuning platforms, orchestration tools, and scalable cloud-native architectures.
Mentor and support principal engineers, data scientists, platform leads, and architects-creating a culture of technical excellence, experimentation, and ownership.
Champion data quality, model explainability, AI governance, and responsible AI practices across the entire lifecycle.
Serve as a senior thought leader internally and externally-representing the company in technical forums, conferences, and customer engagements when needed.