Responsibilities

Responsibilities Drive the building of industry-leading systems, and improve user experience, content ecosystem, and platform security. Build machine learning (ML) models and implement ML-based strategies to improve system infrastructure. Lead and conduct code reviews to ensure delivery of end-to-end machine learning solutions. Own the full stack machine learning system and optimize algorithms and infrastructure to improve performance. Build new pipelines for ML model training/iteration. Partner with cross functional teams to design product strategies and features and build solutions to support platform's growth. Mentor junior and mid-level team members, providing technical guidance and expertise and sharing machine learning engineering best practices.

Qualifications

Qualifications Must have a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Systems, Machine Learning, Data Science, Statistics, Mathematics, or a related field, and 3 years of related work experience; OR a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Systems, Machine Learning, Data Science, Statistics, Mathematics, or a related field, and 5 years of post-bachelor's, progressive related work experience. Of the required experience, must have 3 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. Travel Requirement: International travel required up to 15%. 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.