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    Senior Machine Learning Engineer - Cambridge, United States - Microsoft

    Microsoft
    Microsoft Cambridge, United States

    1 week ago

    Microsoft background
    Full time
    Description

    Overview

    Microsoft Research (MSR) is hiring a Senior Machine Learning Engineer to work with our labs in New York City and New England

    We are looking for a Senior Machine Learning Engineer with analytical and developer skills to join our team to develop industry leading machine learning solutions. Successful candidates will have several years of experience designing, training and tuning machine learning (ML) models and their supporting infrastructure. A large part of the role will be spent incubating new ideas with researchers and working with product team engineers and/or partners who leverage the research. As a result, candidates should be comfortable learning new approaches and pushing the boundaries of current conventions while applying sound engineering principles.

    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.

    Qualifications

    Required Qualifications

  • Bachelor's Degree in Computer Science, Engineering, Statistics, Mathematics, or related field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or PythonOR equivalent experience
  • 4+ years experience in applying, implementing, and/or developing algorithms for machine learning, artificial intelligence, or statistics
  • 2+ years of industry experience with Machine Learning (ML) engineering programming languages and platforms, including, but not limited to: Python, Python numerical libraries, PyTorch or TensorFlow

    • Preferred Qualifications

  • Masters or Doctorate in Computer Science, Economics, Statistics, Operations Research or equivalent technical field
  • Experience working in an academic research environment
  • Experience with deep learning models, large language model (LLM) inference and fine tuning techniques, such as Low-Rank Adaption (LoRA), and packages, such as HuggingFace
  • Experience building, debugging and maintaining distributed ML training jobs and infrastructure with PyTorch or similar frameworks
  • Ability to work independently and ramp-up quickly on complex and unfamiliar code and self-teach in new domains
  • Experience with engineering practices, continuous integration and continuous delivery/continuous deployment (CI/CD) pipelines and Git
  • Effective communication skills, both verbal and written
  • Experience contributing and/or maintaining open source projects

    • Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $112,000 - $218,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $145,800 - $238,600 per year.

    Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

    #Research

    Responsibilities

  • You'll be a member of a cross-disciplinary team of engineers, data scientists and researchers working in a research-oriented environment
  • Learning new skills rapidly and applying as needed, e.g., learn a new machine learning algorithm from a research paper and implementing it
  • Software engineering fundamentals, including coding, testing, problem solving and data analysis skills
  • Providing high quality support to all researchers in the lab and our user community.
  • Creating and maintaining technical relationships with product teams.
  • Ability to effectively work in collaborative multiple project team environment
  • Develop and deploy solutions with Microsoft Partners for solving business problems using machine learning and predictive modeling techniques
  • Ability to continually ramp up on latest deep learning model architectures/algorithms, Open AI enhancements and large language models (LLM) directions
  • Embody our and
    • Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.Industry leading healthcareEducational resourcesDiscounts on products and servicesSavings and investmentsMaternity and paternity leaveGenerous time awayGiving programsOpportunities to network and connect
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