Responsibilities Responsibilities Design, develop, and deploy machine learning models, including recommendation, ranking, and personalization systems to deliver relevant and engaging content to application users. Leverage large-scale user behavior data, representation learning, and experimentation frameworks to continuously optimize recommendations, improve user retention, and enhance user experience across the platform. Formulate real-world user data modeling in statistical learning problems. Research and design ML models to optimize systems, features, algorithms, and product strategies. Design and execute user procedure experiments, tests, and significance analyses by applying statistical test theories to optimize user experience. Collaborate with product and operations teams to experiment with and refine ML models across various products, gaining insights into how ML can optimize different areas. Mentor junior Machine Learning Engineers and interns. Qualifications Qualifications Must have a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Data Science, Analytics (any), Mathematics, or a related field, and 4 years of related work experience. In lieu of a Bachelor's degree, employer will accept an additional two years of related work experience. Of the required experience, must have 4 years of experience in each of the following: Building end-to-end model training pipelines using Python or Hadoop MapReduce, and training large-scale models using deep learning and machine learning (ML); Designing, developing, and implementing advanced machine learning and deep learning models, including supervised and unsupervised learning techniques; Researching, testing and productionizing state-of-the-art deep learning models and methods; Using SQL and Spark to perform large-scale dataset analysis, including user behavior, probability distribution, and time series analyses; and Utilizing Big Data Framework Hadoop or Flink. Travel Requirement: International travel required up to 25%. Type: Full time, 40 hours/week Location: San Jose, CA Salary Range: $275850 - $387600 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 $275850 - $387600 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. For Los Angeles County (unincorporated) Candidates: Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: 1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; 2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and 3. Exercising sound judgment.