Machine Learning Engineer

Staff Machine Learning Engineer, TikTok BRIC Community Health Location: San Jose Employment Type: Regular Job Code: A75187A Share this listing: Responsibilities Protect TikTok users, including and beyond content consumers, creators, advertisers and other participants across the ecosystem. Safeguard platform health and community experience authenticity. Build scalable infrastructure, platforms, and technologies while collaborating closely with cross‑functional teams and stakeholders. The BRIC team works to minimize the impact of inauthentic and abusive behaviors across TikTok products and platforms. Our scope covers a broad range of community and business risk areas, including account integrity, engagement authenticity, anti-spam, API abuse, growth fraud, live streaming security, and financial safety across advertising and e-commerce. In this team you'll have a unique opportunity to have first‑hand exposure to the strategy of the company in key security initiatives, especially in building scalable and robust, intelligent and privacy‑safe, secure and product‑friendly systems and solutions. Our challenges are not some regular day‑to‑day technical puzzles - You'll be part of a team that's developing novel solutions to first‑seen challenges of a non‑stop evolvement of a phenomenal product eco‑system. The work needs to be fast, transferrable, while still down to the ground to make quick and solid differences. Responsibilities Build machine learning solutions to respond to and mitigate business risks in TikTok products/platforms. Such risks include and are not limited to abusive accounts, fake engagements, spammy redirection, scraping, fraud, etc. Improve modeling infrastructures, labels, features and algorithms towards robustness, automation and generalization, reduce modeling and operational load on risk adversaries and new product/risk ramping‑ups. Advance machine learning capabilities in areas such as risk perception and analysis, model interpretability, privacy and compliance, and adversarial robustness. Qualifications Minimum Qualifications: Master's degree or above in Computer Science, Statistics, Machine Learning, or another relevant technical field, with at least 2 years of hands‑on machine learning experience through industry, research, internships, or equivalent project work. Strong software engineering fundamentals and proficiency in Python or one of Java/C++/Go, with experience in large‑scale data processing technologies such as Spark, Hadoop, or Hive. Strong machine learning fundamentals, with research or hands‑on experience in areas such as deep learning, representation learning, graph learning, sequence/time‑series modeling, transfer/multi‑task learning, or unsupervised/self‑supervised learning. Strong problem‑solving and analytical skills, with the ability to reason and communicate in a result‑oriented and data‑driven manner. Natural curiosity and a strong passion for solving complex, ambiguous problems; willingness to dig deep, challenge assumptions, and continuously explore better solutions. Strong collaboration and communication skills, with the ability to work effectively across engineering, product, data, system and other cross‑functional teams. Ability to work with a high degree of autonomy, learn quickly, and adapt to a rapidly evolving risk environment. Preferred Qualifications: Industry experience in risk, fraud, spam, abuse detection, or related areas is preferred but not required. Experience building or deploying large‑scale machine learning systems/algorithms is a plus. Hands‑on experience with LLMs, generative AI, or agent development, including LLM‑powered applications, evaluation pipelines, retrieval or knowledge systems, or agentic workflows. Research publications or strong research experience in relevant machine learning areas are a plus. Job Information The base salary range for this position in the selected city is $254400 - $480000 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: 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 Exercising sound judgment. About TikTok TikTok is the leading destination for short‑form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. Why Join Us Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day. We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us. Diversity & Inclusion TikTok 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 TikTok, our mission is to inspire creativity and bring joy. 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. TikTok Accommodation TikTok 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 Ready for a career at TikTok? Discover a career that energizes and excites you every day. #J-18808-Ljbffr