We are building a planet-scale multi-modal database from the ground up You will be part of the team that is reimagining the databases in the era of Large Language Models LLMs by deeply integrating Artificial Intelligence AI into all parts of the stack As a Principal Machine Learning Engineer you will lead and collaborate with a team of passionate engineers driving ideas to impactful results in a fast-paced setting You will work on designing building and deploying large-scale machine learning systems with an emphasis on production-grade solutions involving data pipelines distributed training model serving and performance optimization You are experienced in machine learning engineering from ideation and algorithm selection to architecture and implementation to deployment and continuous improvement Successful engineers in our team have problem solving design coding and debugging skills drive for execution and results rigor in delivering quality software and a desire for continuous learning Our team values a friendly collaborative atmosphere with a passion for technology and we believe that a diverse team with diverse perspectives that applies empathy and uses great communication skills helps deliver superior products and is key to success This is a excellent opportunity to challenge yourself grow your career and influence the next generation of computing at Microsoft 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 In alignment with our Microsoft values we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day Responsibilities Develop and deploy scalable Machine Learning models Develop robust evaluation frameworks to assess model performance conduct systematic benchmarking and address identified weaknesses while ensuring compliance with customer standards Defines the vision and strategy for collaboration efforts between researchers and development teams at the individual product level Brings recent technology and approaches into production by applying long-term research efforts to solve immediate product needs Drives high-stakes negotiations across teams to ensure cutting edge technology is being applied to products in a practical way that meets key business objectives Ensures that teams apply an understanding of research approaches used across and outside of the company to leverage and not re-invent solutions Represents the organization across the company Incorporates key business and product requirements to define a clear agenda and vision that influences the direction of the company products and provides a competitive or strategic advantage Drives programs structured around the specificity of key business challenges Provides strategic direction for the kinds of data used to solve problems Embody our culture and values Qualifications Required Qualifications Bachelor s Degree in Computer Science Machine Learning or Artificial Intelligence or related field AND 8 years related experience e g statistics predictive analytics research OR Master s Degree in Computer Science Machine Learning or Artificial Intelligence or related field AND 6 years related experience e g statistics predictive analytics research OR Doctorate in in Computer Science Machine Learning or Artificial Intelligence or related field AND 5 years related experience e g statistics predictive analytics research OR equivalent experience Proven experience training large-scale modern Machine Learning ML models e g transformers diffusion models foundation models Hands-on experience in key model optimization techniques e g mixed precision training distributed training fine-tuning RLHF LoRA Familiarity with model evaluation data curation pipelines and reproducible research practices Preferred QualificationsMaster s Degree in Computer Science Machine Learning or Artificial Intelligence or related field AND 12 years related experience e g statistics predictive analytics research OR in Computer Science Machine Learning or Artificial Intelligence or related field AND 8 years related experience e g statistics predictive analytics research OR equivalent experience Deep understanding of modern deep learning frameworks such as PyTorch or TensorFlow and scalable training infrastructure First-author publication in top-tier machine learning conferences or journals e g NeurIPS ICML ICLR CVPR ACL Microsoft is an equal opportunity employer Consistent with applicable law all qualified applicants will receive consideration for employment without regard to age ancestry citizenship color family or medical care leave gender identity or expression genetic information immigration status marital status medical condition national origin physical or mental disability political affiliation protected veteran or military status race ethnicity religion sex including pregnancy sexual orientation or any other characteristic protected by applicable local laws regulations and ordinances If you need assistance and or a reasonable accommodation due to a disability during the application process read more about requesting accommodations

📌 Principal Machine Learning Engineer (Karnataka)
🏢 Microsoft
📍 Karnataka