Responsibilities Develop, build, and optimize the performance of large and highly scalable ML systems, algorithms, strategies, models and/or infrastructures. Work across the full machine learning (ML) modeling lifecycle, including data preparation, feature engineering, hyperparameter tuning and evaluation, and model selection. Formulate real-world user data modeling in statistical learning problems. Design and execute user procedure experiments, tests, and significance analyses by applying statistical test theories to optimize user experience. Build and train ML models, deep learning models and their variants to analyze and predict user behavior metrics and treatment effects with ML frameworks. Use big data frameworks and analytics tools to aggregate, collate, and analyze data. Research and design ML models to optimize systems, features, algorithms, and product strategies. Collaborate with key stakeholders and cross-functional teams to define product strategy and features, and to assist in defining products and driving initiatives from a ML engineering viewpoint. Mentor junior Machine Learning Engineers and interns. Qualifications Qualifications Must have a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Statistics, Mathematics, or a related quantitative field, and 2 years of related work experience; or a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Statistics, Mathematics, or a related quantitative field, and 5 years of post-bachelor's, progressive related work experience. Of the required experience, must have 2 years of experience in each of the following: Coding using Python or C++; Optimizing, training, and deploying machine learning and deep learning models using PyTorch or TensorFlow; Developing code and identifying issues in Linux environment; Developing and deploying large-scale machine learning systems; and Utilizing Big data framework Spark, Hadoop, or Flink. Type: Full time, 40 hours/week Location: Bellevue, WA Salary Range: $202160 - $368220 per year To Apply, click the apply button below. Contact [redacted] if you have difficulty submitting resume through the website. Job Information [For Pay Transparency]Compensation Description (Annually) The base salary range for this position in the selected city is $202160 - $368220 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure). The Company reserves the right to modify or change these benefits programs at any time, with or without notice.