Applied Sciencest II - Copilot Notebooks at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

03 Mar, 26

Salary

0.0

Posted On

03 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistics, Predictive Analytics, Research, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Python, Transformer-Based Models, Large Language Models, Data Curation, Model Evaluation, Technical Guidance, Knowledge Sharing, Collaboration, AI

Industry

Software Development

Description

Generate synthetic datasets for high quality data curation used in model evaluation and/or fine tuning. Implement the evaluation techniques and metrics to measure the impact of the latest models on product scenarios. Collaborate closely with engineering and product teams to ship scenarios powered by AI. Stay current with the latest advancements and bring ideas to the product teams. Foster a healthy and inclusive team environment, provide technical guidance via knowledge sharing sessions. Apply strategies provided by senior team members and incorporate state-of-the-art research. You'll also develop an understanding of methods used in the community and gain expertise in a deeply specialized area. Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience. 1+ year(s) of experience in machine learning, deep learning, natural language processing, computer vision, and/or statistics. 1+ year(s) of experience in Python and familiarity with coding in multiple languages. 1-2 years of experience in a professional role as an Applied Scientist or Researcher. These requirements include but are not limited to the following specialized security screenings: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical OR Computer Engineering, OR related field AND 5+ 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 Expertise in implementing, training, and debugging transformer-based ML models and other related tools and technologies for building and shipping large language models (LLM) applications. Ability to quickly ramp up on various domains within Machine Learning.

Responsibilities

Generate synthetic datasets for high-quality data curation used in model evaluation and fine-tuning. Collaborate closely with engineering and product teams to ship scenarios powered by AI.