Machine Learning Engineer, Brand AdsEllis Technologies, Inc. • San Jose, Arizona, United States
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Machine Learning Engineer, Brand Ads
Ellis Technologies, Inc.
- San Jose, Arizona, United States
- San Jose, Arizona, United States
Über
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.
Qualifications
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.
Job Information The base salary range for this position in the selected city is $156,000 - $316,800 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 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.
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.
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Sprachkenntnisse
- English
Hinweis für Nutzer
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