15 hours ago
Bengaluru, IndiaSenior
Responsibilities
- Develop scalable machine learning models and optimization strategies for advertising-related business problems.
- Build models using visual, audio, and textual ad content across multiple languages, including computer vision, deep learning, generative AI, large language models, and vision language models.
- Identify, train, deploy, productionize, and serve models in collaboration with software engineers and other ML engineers.
- Run A/B experiments, collect data, and perform statistical analysis.
- Improve the scalability, efficiency, and automation of ML-driven ad serving systems, model training, deployment, and serving.
- Partner with senior stakeholders to plan and drive the machine learning strategy for ad serving.
- Support brand safety, revenue opportunities, ad moderation, and generation of ad creatives.
Requirements
- 6+ years of experience building models for business applications.
- Master's degree or higher and 4+ years of experience in computer science, computer engineering, machine learning, or a related field.
- Strong computer science fundamentals and the ability to write algorithms effectively.
- Experience developing and implementing deep learning algorithms, particularly computer vision algorithms.
- Understanding of regression, classification, tree-based approaches, neural networks, sequence-based approaches, and NLP approaches such as W2V or BERT.
- Ability to identify appropriate KPIs and objective functions.
- Programming experience with languages such as C/C++, Python, Java, or Perl preferred.
- Publications at top-tier peer-reviewed conferences or journals preferred.
- AI growth mindset and AI literacy.
Benefits
- Hybrid work generally consists of working in the office Monday through Thursday, with Fridays generally flexible for remote work unless the role or office requires five days per week.
- Benefits may include global mental health and financial wellness support, healthcare, life, accident, disability, commuter, retirement options, and time off according to local policies.
- Benefits vary by location and role, with local statutory and voluntary benefits available.
Categories
About Roku
Roku builds streaming players, Roku-branded TVs and audio gear, and the Roku OS licensed to TV manufacturers. Its platform supports ad-supported and subscription streaming, including The Roku Channel and Roku Originals, and underpins a significant advertising business. Founded in 2002 and headquartered in San Jose, it is a public company trading on NASDAQ under the ticker ROKU.