Lead Machine Learning Engineer

Lead Machine Learning Engineer (Multiple Positions) Location: San Jose Team: Technology Employment Type: Regular Job Code: A40714C Share this listing: 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 ML solutions. Own the full stack ML system and optimize algorithms and infrastructure to improve recommendation performance. Build new pipelines for ML model training or iteration. Partner with cross functional teams to design product strategies and features and build solutions to support platform’s growth. Mentor junior-level team members. Qualifications Must have a PhD degree or foreign equivalent degree in Computer Science, Engineering (any), Machine Learning, Data Science, Mathematics, or a related field, and 1 year of related work experience; OR a Master’s degree or foreign equivalent degree in Computer Science, Engineering (any), Machine Learning, Data Science, Mathematics, or a related field, and 4 years of related work experience. Of the required experience, must have 1 year of experience in each of the following: Building end-to-end model training pipelines using Python and Hadoop MapReduce, and training large-scale models using deep learning and machine learning; Coding using Python and C++; Developing data-driven prediction models using classic statistical methods, machine learning, and neural network/deep learning; Researching, testing and productionizing state-of-the-art deep learning models and methods; Debugging and maintaining the performance of ML products: Input recommender, article answers, article recommendation, and app event optimization; and Collaborating with cross-functional stakeholders including engineers, data analysts, and quality assurance analysts to drive product implementation. Travel Requirement: International travel required up to 15%. Work Details Type: Full time, 40 hours/week Location: San Jose, CA Salary Range: $275,850 - $438,000 per year To Apply, click the apply button below. Contact if you have difficulty submitting resume through the website. ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at Job Information The base salary range for this position in the selected city is $275,850 - $438,000 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: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and #J-18808-Ljbffr