Machine Learning Engineer, Brand Ads

Tiktok Inc.
San Jose, CA, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$156,000.0 - $316,800.0
Working hours
Regular working hours
Job source

Tech stack

Mxnet Artificial Intelligence Data Analysis Big Data Computer Programming Data Structures Distributed Systems Apache Hadoop Machine Learning Tensorflow Pytorch Large Language Models
+4 more
Apache Spark Deep Learning Information Technology Programming Languages

Job description

TikTok Brand Ads team is responsible for the complete technical chain from data construction, model training, offline evaluation, online deployment, inference optimization to new model exploration, covering key tasks such as multimodal semantic understanding, content matching and ranking, and cross-modal alignment.

We are looking for passionate engineers that have strong problem solving skills and algorithm understanding to build and manage systems with high performance, scalability, and availability. You will have the opportunity to partner closely with a globalized engineering and product teams in a high-impact and fast-paced environment.

What you’ll do:

  • Develop and maintain a highly available ad delivery system capable of supporting high-concurrency requests, fulfilling advertisers’ campaign needs across brand bidding products including audience reach, video playback, and content-driven interest cultivation.
  • Optimize bidding strategies and traffic allocation strategies for brand bidding advertisements.
  • Leverage deep learning, large language models (LLMs), and multimodal model technologies to optimize the recall, coarse-ranking, and fine-ranking model algorithms for brand bidding ads.
  • Collaborate with the product team to design and develop industry-leading brand advertising products.

Requirements

Do you have experience in Machine intelligence?, * Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.

  • Solid foundation in data structures and algorithms, with excellent programming skills and proficiency in mainstream programming languages.
  • Preferred experience in large-scale data processing and distributed computing, with familiarity in Hadoop and Spark frameworks.
  • Background in traditional machine learning and deep learning. Preferred: publications in top-tier conferences such as KDD, AAAI, CIKM, WWW, RecSys, NeurIPS, ACL, or EMNLP; familiarity with the architecture and principles of TensorFlow/PyTorch/Caffe/MXNet frameworks.
  • Proactive work attitude with a strong sense of ownership and excellent team collaboration spirit; willingness to take on challenging tasks.
  • Strong logical thinking skills with a focus on data analysis; ability to discover valuable patterns from massive datasets.
  • Strong business-oriented mindset, with technical optimization driven by and in service of achieving business objectives., 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

Benefits & conditions

(part of ByteDance) 3.33.3 out of 5 stars San Jose, CA $156,000 - $316,800 a year, Pulled from the full job description

  • Paid parental leave
  • Parental leave
  • Health insurance
  • 401(k) matching
  • Vision insurance
  • Dental insurance
  • Paid sick time, 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.

About the company

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., 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., 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.

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