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Senior Staff Machine Learning Engineer
1 month ago
LinkedIn is seeking a highly skilled Senior Staff Machine Learning Engineer to join our Foundational AI Technologies team. As a key member of this team, you will be responsible for researching, developing, and building cutting-edge AI technologies that drive innovation and growth across the company.
This is a rare opportunity to lead initiatives at the forefront of Data and AI, impacting every product and team at LinkedIn and over 1 billion members of the global workforce.
Key Responsibilities- Develop and implement Foundation Large Language Models, customizing them to uniquely comprehend LinkedIn's diverse marketplace entities.
- Enhance the AI system's ability to understand LinkedIn members' interests, intents, and behaviors using advanced LLM techniques.
- Provide technical leadership to cross-functional teams and drive alignment on technology strategy.
- Establish a culture that values diverse viewpoints while navigating complex decisions.
- Partner effectively with leads from other AI teams.
- Define the bar for quality and efficiency of software systems while balancing business impact, operational impact, and cost benefits of design and architectural choices.
- BA/BS Degree in Computer Science or related technical discipline or equivalent practical experience.
- 5+ years of industry experience in software design, development, and algorithm-related solutions.
- 5+ years of experience programming languages such as Java, C/C++, Python, etc.
- 2+ years in an architect or technical leadership position.
- PhD in Computer Science, Machine Learning, Statistics, or related fields.
- 8+ years of experience in AI/Data Science and Large Language Models.
- Strong academic credentials with publications in top-tier journals and conferences.
- Background in one or more of the following areas: deep learning, information retrieval, knowledge graph, natural language processing, optimization.
- Experience in building large-scale AI models and systems.
- Experience in large language models and deep neural network solutions.
LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $180,000 to $300,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location.
The total compensation package for this position may also include annual performance bonus, stock, benefits, and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.
