3 Rl Jobs

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 Microsoft's 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. The Purview AI Research team leads the charge in advancing artificial intelligence, conducting groundbreaking research across deep learning, NLP, LLMs, RL, and graph-based approaches. Our expertise lies in developing sophisticated agentic systems, including cutting-edge innovations that leverage RL fine-tuning of LLMs to create intelligent solutions capable of autonomous reasoning, adaptation, and action. Our mission is to stay ahead of emerging technological trends and seamlessly embed transformative AI capabilities into our product ecosystem. We aim to deliver solutions that not only address current challenges but also pave the way for the future of applied AI and data science. We are seeking a passionate Principal Applied AI Scientist/Engineer to join our team. The ideal candidate is deeply engaged with the latest AI advancements, committed to team success, and skilled in delivering high-quality, production-ready code. This role offers the opportunity to collaborate with world-class applied AI researchers to develop new methodologies, tools, and frameworks that demonstrate how AI-powered innovations can redefine Microsoft Security-ushering in a new era of securing and managing our customers digital estates. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

As an AI Research Engineer (Intern) working remotely, you will be responsible for building infrastructure for training, evaluating, and deploying Small Language Models (SLMs). Your role will involve designing RL-based training loops such as PPO, DPO, RLAIF for model tuning. Additionally, you will work on speech systems including Speech-to-text, text-to-speech, VAD, and optimizing models for on-device inference on platforms like mobile, browser, and edge. Furthermore, you will be involved in developing real-time multimodal AI pipelines that encompass text, audio, and video. Your tasks will also include translating research papers into production-ready code and driving research efforts on quantization, distillation, and architecture search. To excel in this role, a Bachelor's degree in Computer Science, Information Technology, AI-ML, or related fields is required. The ideal candidate should have 0 to 6 months of experience in the field. If you are passionate about AI research and eager to contribute to cutting-edge projects, this position offers a unique opportunity to apply your skills and knowledge in a dynamic and innovative environment.,

As a Senior Data Scientist - AI/ML at ZF, you will be part of the ZF COE Team, effectively communicating complex technical concepts related to AI, ML, DL, and RL to both technical and non-technical audiences. Your role will involve conducting cutting-edge research to identify and develop novel AI/ML methodologies, designing and conducting experiments to test hypotheses, and analyzing data to uncover hidden patterns and relationships. You will stay at the forefront of the field by keeping abreast of the latest advancements in algorithms, tools, and theoretical frameworks, and contribute to the development of fundamental algorithms and frameworks that can be applied to various machine learning problems. Your focus will be on theoretical aspects of model design, such as improving model efficiency, reducing bias, and achieving explainability in complex models. To qualify for this role, you should have a Master's degree in Mathematics, Computer Science, or related technical fields, with 8+ years of experience in research development and a strong understanding of data structures and algorithms. You should also have 5+ years of experience building and deploying machine learning models in production, proven experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn, and experience with distributed computing systems and large-scale data processing. Excellent communication and collaboration skills, contribution to invention disclosure process, and a strong publication record in top machine learning conferences or journals are essential. Choosing ZF Group in India offers you an innovative environment at the forefront of technological advancements, a diverse and inclusive culture promoting collaboration and mutual support, career development opportunities, a global presence with international projects and collaboration, a sustainability focus dedicated to eco-friendly solutions, and a commitment to employee well-being with comprehensive health and wellness programs and a supportive work-life balance. Join the ZF team as a Senior Data Scientist - AI/ML and be part of shaping the future of mobility. Apply now to make an impact! Contact: Sowmya Nagarathinam ZF aims to build and maintain a culture where inclusiveness is lived and diversity is valued through its Diversity, Equity, Inclusion (DEI) initiatives. The company actively seeks ways to remove barriers so that all employees can rise to their full potential, embedding this vision in its operations and product development as it shapes the future of mobility.,