VP AI
recruitricks · Tel Aviv District, Israel
- On site
- Full-time
- $250,000 / year
- Tel Aviv District, Israel
Job highlights
- Lead AI strategy and research for a security organization.
- Manage a team of data scientists and researchers.
- Drive innovation in NLP, Computer Vision, and more.
- Translate complex problems into AI solutions.
- Shape the future of AI in a key sector.
About the role
VP AI at recruitricks
recruitricks is seeking a visionary VP AI to lead significant technological advancements in a security organization. This role involves developing cutting-edge AI solutions based on extensive research and development of high-performance models. The VP AI will shape the vision, strategy, and research standards, serving as the ultimate professional authority in core AI domains. This position includes direct management of the AI department, encompassing all data scientists, machine learning engineers, and researchers.
Key Responsibilities:
- Lead the AI management tier: diagnose, recruit, onboard, professionally manage, mentor, and train all researchers and data scientists in the unit.
- Formulate research vision and strategy: define the unit's strategic research areas (e.g., NLP, Computer Vision, Reinforcement Learning) and identify groundbreaking technological opportunities.
- Drive research intuition for adoption/development: lead the decision-making process for AI model development stages (model training, using existing models, model types, integrating classic approaches, etc.).
- Establish research methodologies: define workflows for algorithm research and development, including experiment management, model evaluation, and internal Peer Review processes.
- Manage technological stakeholders: work directly with academia and industry, initiate collaborations, and bring external, innovative knowledge into the unit.
- Translate business problems into research problems: responsible for translating complex operational needs into solvable AI research problems and defining clear success metrics.
- Ensure quality and excellence: overall responsibility for the professional quality and innovation of models and algorithms developed across all squads.
- Advise management: serve as the professional advisor to management and the CTO regarding trends, risks, and opportunities in the AI landscape.
Job Requirements:
- Mandatory: Master's degree in a relevant quantitative field (Computer Science, Electrical Engineering, Physics, Mathematics).
- Significant Advantage: Ph.D. in a core Machine Learning / Artificial Intelligence field.
- Mandatory: At least 8 years of hands-on R&D experience in AI/ML.
- At least 3 years of experience managing and leading AI researchers / data scientists.
- Proven experience leading significant research projects that have reached practical implementation/production.
- Deep familiarity and practical experience with multiple AI domains, mandatory - Computer Vision and other fields (e.g., Natural Language Processing, Signal Processing, Time Series Analysis, etc.).
- Significant Advantage: Record of academic publications at leading conferences.
Skills and Competencies:
- Deep theoretical and practical understanding of Machine Learning and Deep Learning algorithms.
- 'AI Sense' – strong intuition and ability to identify promising approaches for problem-solving.
- Strategic-research thinking and ability to build long-term research plans.
- Excellent communication skills and the ability to explain complex topics simply.
- Professional leadership, ability to mentor and grow top-tier researchers.
- Deep familiarity with data-centric AI processes.
Key skills/competency:
- AI
- Machine Learning
- Deep Learning
- Computer Vision
- NLP
- Research
- Strategy
- Leadership
- Data Science
- Algorithm Development
Skills & topics
- VP AI
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Computer Vision
- NLP
- Data Science
- Research and Development
- Leadership
- AI Strategy
How to get hired
- Tailor your resume: Highlight your 8+ years of AI/ML R&D and 3+ years of AI team leadership experience, emphasizing hands-on project successes and academic publications.
- Showcase your 'AI Sense': Prepare to discuss your intuition for identifying promising AI approaches and how you've translated business needs into research problems.
- Demonstrate leadership: Be ready to provide examples of mentoring and growing high-performing AI research teams.
- Understand the domain: Familiarize yourself with the security sector's AI challenges and opportunities, and be prepared to discuss your experience with Computer Vision and NLP.
- Prepare for technical interviews: Brush up on deep learning algorithms, ML theory, and experiment design for AI model evaluation.
Technical preparation
Master deep learning and ML algorithms theory.,Practice implementing AI models in Python.,Study Computer Vision and NLP techniques.,Prepare for algorithm evaluation discussions.
Behavioral questions
Describe leading a research team.,How do you translate business needs to AI?,Give an example of your 'AI Sense'.,How do you mentor researchers?
Frequently asked questions
- What is the primary focus for the VP AI role at recruitricks within the security organization?
- The primary focus for the VP AI at recruitricks is to lead the research, development, and strategic vision for AI solutions within a security organization. This involves managing a team of data scientists and researchers, driving innovation in areas like NLP and Computer Vision, and ensuring the practical implementation of advanced AI models.
- What level of experience is required for the VP AI position at recruitricks?
- The VP AI role at recruitricks requires a minimum of 8 years of hands-on AI/ML research and development experience, coupled with at least 3 years of management experience leading AI researchers or data scientists. A Master's degree in a quantitative field is mandatory, with a Ph.D. in AI/ML being a significant advantage.
- Can you describe the team and reporting structure for the VP AI at recruitricks?
- The VP AI at recruitricks will directly manage the entire AI department, including all data scientists, machine learning engineers, and researchers. This role reports to senior leadership, including the CTO, and serves as the top professional authority in AI.
- What are the key technical domains the VP AI will be working with at recruitricks?
- The VP AI at recruitricks will work with multiple AI domains, with a mandatory focus on Computer Vision. Other significant areas include Natural Language Processing (NLP), Signal Processing, and Time Series Analysis, among others, depending on strategic research directions.
- What kind of research and development is expected from the VP AI at recruitricks?
- The VP AI at recruitricks is expected to lead significant research and development initiatives, focusing on creating high-performance AI models. This includes defining strategic research areas, driving the adoption or development of new AI approaches, and ensuring the practical implementation and production readiness of developed models.
- How does recruitricks foster innovation in the VP AI role?
- recruitricks fosters innovation by empowering the VP AI to define the research vision and strategy, identify groundbreaking technological opportunities, and manage collaborations with academia and industry. The role encourages deep theoretical and practical understanding, as well as a strong 'AI Sense' for identifying promising solutions.
- What is the importance of academic publications for the VP AI role at recruitricks?