Microsoft · 17 hours ago
Senior Applied Scientist & Principal Applied Scientist (Multiple Positions)
Microsoft is looking for talented Senior Applied Scientists and Principal Applied Scientists to join their Applied Sciences Group. This role involves driving and leading the implementation of state-of-the-art AI algorithms for next-generation devices and operating systems, while collaborating closely with various research and product teams.
Artificial Intelligence (AI)Enterprise SoftwareCloud ComputingCyber SecuritySoftwareProfessional ServicesInformation TechnologyAgentic AIApplication Performance ManagementBusiness DevelopmentDevOpsInformation ServicesManagement Information SystemsNetwork Security
Responsibilities
Optimize, fine tune and transform models for edge device inferencing
Contribute to the technical design, architecture, development, and evaluation of DNN models
Collaborate with engineering and product development teams
Contribute to a real-time system involving multiple components
Assist in identifying and addressing issues in ML frameworks and associated hardware
Mentor junior engineers and contribute to team knowledge-sharing sessions
Qualification
Required
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Preferred
Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
OR equivalent experience
3+ years of experience in deep learning and large language models, including transformer‑based architectures (e.g., BERT, GPT‑2/GPT‑3, LLaMA, OPT)
3+ years of experience optimizing large language models, including model compression, distillation, quantization, and parameter‑efficient fine‑tuning techniques (e.g., LoRA, GPTQ)
Proficiency in Python for machine learning, research, and experimentation workflows
Experience with modern ML frameworks such as PyTorch or TensorFlow
Experience with dataset curation, data generation using state‑of‑the‑art LLM prompting techniques, and automated model evaluation
Experience with model conversion and deployment frameworks (e.g., ONNX)
Demonstrated record of publications in top‑tier conferences or journals (e.g., NeurIPS, ICML, ICLR, ACL, CVPR, ICCV, ECCV, TPAMI)
Experience building production‑quality APIs, SDKs, or software packages for third‑party or external consumption
Demonstrated ability and passion for incubating new ideas, solving complex problems, and building working systems
Company
Microsoft
Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.
H1B Sponsorship
Microsoft has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9192)
2024 (9343)
2023 (7677)
2022 (11403)
2021 (7210)
2020 (7852)
Funding
Current Stage
Public CompanyTotal Funding
$1MKey Investors
Technology Venture Investors
2022-12-09Post Ipo Equity
1986-03-13IPO
1981-09-01Series Unknown· $1M
Leadership Team
Recent News
2026-01-16
Morningstar.com
2026-01-16
Company data provided by crunchbase