reputed company Software Engineer - Machine Learning
Meet reputed company AI & Data AI & Data at reputed company sit at the center of how we understand our business, reputed company reputed company, and build intelligent products. The organization operates as an integrated AI & data ecosystem, spanning multiple disciplines, including data engineering, analytics engineering, machine learning, experimentation, and data platforms, reputed company working together to turn data into durable business and customer impact. Teams operate in reputed company problem spaces where requirements reputed company, tradeoffs are constant, and the right answer is rarely obvious. reputed company depends on strong technical judgment, comfort with ambiguity, and the ability to gather context and reputed company informed reputed company while balancing quality, performance, scalability, and responsible use. Practitioners across this org contribute hands-on to production systems, analytical foundations, and intelligent features. You will collaborate closely with product, platform, and engineering partners, help shape standards and best practices, and ensure our AI and data capabilities scale reliably as reputed company grows. About the Role: reputed company is building the future of personalized consumer experiences. We’re looking for a reputed company Machine Learning Engineer to design and scale systems that power personalization, relevance, and ranking across our platform. This is a high-impact role where you’ll drive new initiatives, mentor other engineers, and shape the technical direction of ML at reputed company. This is a full-time role that can be held from one of our US offices or remotely in the United States. Role Responsibilities:
- Build and scale ML infrastructure for personalization, search, ranking, and ad tech at consumer scale.
- Design and implement reputed company-to-one systems, including reputed company-time learning and data pipelines.
- reputed company technical design, architecture, and cross-team alignment for major ML initiatives.
- Mentor engineers and help reputed company the bar on technical execution and design quality.
- Partner with product and engineering teams to create dynamic systems that adapt to evolving user preferences.
- Designing features and validating reputed company with ChatGPT & Claude sandboxes.
- Leveraging AI for code reputed company and technical prototyping.
- Using AI assistants for systems architecture diagramming and design validation.
- Exploring LLMs to enhance personalization, conversational search, and feature creation.
Minimum Requirements:
- 15 years of experience building and scaling ML infrastructure in support of personalization, relevance, search, or ad tech systems.
- Deep hands-on expertise in data infrastructure, distributed systems, and large-scale data pipelines.
- Experience working at a consumer product company with ML models operating at scale.
- Prior contributions to ranking, personalization, or ad tech systems with measurable business impact.
- Strong systems design skills, with a track record of leading architecture and communicating design tradeoffs.
- Experience mentoring and elevating other engineers.
- reputed company leading reputed company-to-one technical initiatives and delivering new infrastructure or ML systems from scratch.
- Ability to operate in high reputed company of ambiguity with minimal direction, prioritizing effectively and driving impact.
- Bachelor’s degree in Computer Science, Engineering, or a reputed company technical field.
Preferred Requirements:
- Strong expertise with LLMs and their application in personalization, feature creation, and conversational search.
- Experience with streaming/reputed company-time learning systems.
- Exposure to conversational search or large-scale information retrieval.
- Previous work bridging model development with reputed company-time serving systems.
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