Responsibilities Analyze user behavior and apply machine learning (ML) algorithms to optimize content consumption and production experience by understanding product objectives and ML techniques to improve model and recommendation strategy. Design and apply ML algorithm and recommendation strategies to improve users' experience on platform and content, including videos and livestreams. Build industry-leading recommendation system, and develop highly scalable classifiers and tools leveraging ML. Build full-stack search engine system and combine information retrieval technology with modern ML methods from related fields such as natural language processing (NLP), Computer Vision (CV), and recommender system. Work on highly scalable classifiers, predictive models and algorithms in big data mining, CV, NLP, and other domains. Work with engineering teams to implement model pipeline and deploy services at scale. Conduct offline and online experiments, analyze data accordingly and evaluate to improve algorithms and strategies. Work with Data Engineers, Data Analysts, Product and other engineers to deliver features to drive the user growth of products. Build the core systems and algorithms development including query understanding, result ranking, query recommendation, and system reliability. Partner with product managers and product strategy and operation team to define product strategy and features. Collaborate with strategy team, product managers, policy team and other key stakeholders to define products and drive initiatives from engineering viewpoint. Work with large, complex data sets to solve difficult, non-routine analysis problems by applying advanced analytical methods as needed. 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 4 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 6 years of related work experience, out of which 5 years must be post-bachelor's, progressive related work experience. Of the required experience, must have 4 years of experience in each of the following: Coding using Python or C++; Developing and deploying large-scale machine learning systems; Developing data-driven prediction models using classic statistical methods, machine learning, and neural network/deep learning; Optimizing, training, and deploying machine learning and deep learning models using PyTorch or TensorFlow; Researching, testing and productionizing state-of-the-art deep learning models and methods; and Utilizing Hive, Spark, Hadoop, or Flink. Type: Full time, 40 hours/week Location: San Jose, CA Salary Range: $275850 - $450000 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 - $450000 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.