Staff Software Engineer, Machine Learning
LinkedIn · Posted Oct 17
Professional networking, job search, recruiting, online learning, and B2B marketing services
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About the role
LinkedIn's AI team works on large-scale machine learning systems for the company's products and recommender systems. The team applies embeddings, retrieval, ranking, classification, generative AI, and NLP to personalized intent and relevance problems. This Staff Machine Learning Engineer role sets technical direction, leads AI initiatives, and builds and deploys production-grade ML systems in collaboration with engineering, product, and research teams.
What you will do
- Own end-to-end model development and deployment of embeddings, retrieval, ranking, and classification models in large-scale production environments.
- Build and deploy relevance models that power our various recommender systems and personalized intent engines.
- Explore novel approaches for machine learning ranking and modeling downstream impact, as well as new ways of creating new product features by leveraging the cutting edge machine learning techniques in Generative AI, NLP.
- Keep scalability and performance in mind through your design and engineering choices.
- Work directly with partner data science, product, and infrastructure teams to take your ideas from conception to production.
- Mentor junior ML engineers in applying advanced machine learning techniques to core problems such as entity resolution, lead scoring, and search relevance.
- Represent LinkedIn in academic and industry circles by showcasing our innovation, data products and scientific expertise in bringing game-changing data products to market.
Skills used in this role
What the employer is looking for
- MS/PhD degree in Computer Science or related technical discipline, or equivalent practical experience.
- 8+ years of experience in machine learning, artificial intelligence, or related fields.
- 5+ years in an architect or technical leadership role driving large-scale AI initiatives.
- Hands-on experience with end-to-end ML lifecycle: data pipelines, training, deployment, monitoring, and optimization.
- Expertise in at least one of: LLMs, generative AI, search/recommendations, reinforcement learning, or large-scale deep learning.
Preferred qualifications
- 10+ years of experience building and scaling machine learning systems in production.
- Proven experience in pre-training and fine-tuning LLMs, including domain-specific adaptations.
- Strong software engineering skills (Python, Java, C++, or similar), with the ability to design robust, scalable systems.
- Track record of influencing product and technical strategy through AI/ML innovation.
- Publications, patents, or open-source contributions in machine learning, NLP, or related areas.
Benefits and support
- generous health and wellness programs and time away for employees of all levels
About LinkedIn
LinkedIn is the world's largest professional network, connecting over a billion users globally to create economic opportunity. Owned by Microsoft, the platform provides tools for job searching, professional networking, B2B marketing, sales intelligence, and online learning. Through its data graph, it bridges the gap between global talent and enterprise organizations.
- Industry
- Professional Network
- Company size
- 10001+ employees
- Founded
- 2003-05-05
- Location
- Sunnyvale, California, USA
- Funding stage
- Public Company
Funding
Public Company · $103.5M raised
- 2003-11-01Seed$4.7M
- 2004-08-01Series A$10M
- 2007-01-15Series B$53M
- 2008-06-01Series C$22.7M
- 2014-05-15Post Ipo Debt$500M
Leadership
Chief Executive Officer
EVP of LinkedIn and Microsoft Office
President of Platforms and Digital Work
Senior Vice President & Chief Financial Officer
Senior Vice President & Chief Business Officer
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