לוח משרות דרושים AI

Proactively acts as the voice of the customer/partner and internal communities leveraging relevant insights from feedback tools and systems. Proactively identifies and/or translates customer/partner problems into industry solutions. Drives self and guides other team members to focus on customer/partner experience through efficient delivery and ensuring a seamless and connected customer experience. Anticipates, identifies, escalates, and mitigates blockers using appropriate tools. Delivers solutions in line with company methodologies, ensuring proven practices and patterns are followed. Proactively identifies and anticipates new cross-solution opportunities for Consumption, Usage & Unified expansion at scale. Operates according to required operational excellence and proven practice standards throughout all sales stages/activities/tools of record. Leverages market insights and demand signals. Leads, mentors, and may assemble virtual teams using knowledge of Microsoft architectures and their context in the competitive landscape. Proactively identifies and anticipates gaps that enable solutions to scale across
Business Impact

Operates according to required operational excellence and proven practice standards throughout all sales stages/activities/tools of record (e.g., pipeline updates, time tracking). Collaborates across Microsoft and customer/partner teams through on-strategy delivery to achieve customer/partner objectives and increase customer/partner satisfaction. Proactively manages business and technical risks, adapts methodology and applies governance principles to identify, communicate, and minimize business and technical risks. Executes work in compliance with industry and Microsoft guidelines and procedures. Continuously prioritizes among competing demands in their work and identifies where impact occurs with customers, ensuring alignment with business priorities and goals.
Delivers solutions in line with company methodologies (e.g., product offerings such as value-based deliverables [VBDs], advice, training, technical validation), ensuring proven practices and patterns are followed to prepare customers for operational readiness and achievement of their business goals and targets. Leveraging knowledge of change management proven practices and/or involving the change management team, proactively helps the customer deploy for long-term organizational adoption to increase customer satisfaction and drive consumption/usage. Guides customers/partners towards a well-architected (e.g., secure, resilient, artificial intelligence [AI]-enabled), and cost- and performance-optimized solution to increase retention and expansion opportunities. Provides feedback to Unified Delivery Team on VBDs to refine and further develop content.

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsofts mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world
Responsibilities
Research and develop detection methods for new and advanced attack techniques -from exploits to implants. Build end-to-end PoCs, from offensive testing to scalable detection, across all our cloud and identity platforms. Stay up to date on the latest attack trends and build strong detections across the kill chaincovering agentic AI & LLM threats, cloud and identity-based attacks. Collaborate with multiple product and engineering teams to design the next iteration of security products, implement detection ideas and validate their effectiveness using a data-driven approach. Collaborate with data science teams to drive ML based protections, understand, and identify detection gaps, capabilities, assumptions, and improvements. Provide cybersecurity expertise as needed during security escalations and incidents to help protect Microsoft and our customers.

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview
The Content Safety Team, which is responsible for ensuring a safe environment for Intuit customers, is seeking a Senior AI Scientist. The team develops content moderation solutions for user-generated and AI-generated content across all Intuit products and utilizes advanced GenAI tools to build capabilities such as automatic labeling.

We encourage you to apply if you

Are passionate about using advanced ML techniques and evolving technology to create a safe environment for customers
Love working as part of a team of experienced AI scientists that love research and innovation just as much as they love getting models to production and making an impact
Are interested in partnering with analysts and researchers to implement your ideas into mitigation policies that keep the bad actors away
Take pride in having end to end ownership of your models - from conception, throughout research and development to production and monitoring
Responsibilities
Develop and refine content moderation models to filter and tackle abusive content across various products, content types and modalities.
Work extensively with NLP algorithms, focusing on fine-tuning transformers and large language models (LLMs) to enhance accuracy and efficiency.
Explore and integrate advanced technologies such as Retriever-Augmented Generation (RAG) and Agentic AI to assist in the automatic labeling and classification of data.
Collaborate with a multi-disciplinary team including machine learning engineers, AI scientists, and policy experts to ensure models align with ethical standards and company policies.
Stay updated with the latest research in AI and machine learning to incorporate cutting-edge techniques into content moderation strategies.
Prepare and maintain documentation on model development, configurations, and performance metrics for both technical and non-technical audiences.
Mentor and guide junior AI scientists, fostering a collaborative and productive team environment.