Director, Software Engineering, Machine Learning
1 month ago
LinkedIn was built to help professionals achieve more in their careers, and everyday millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We are much more than a digital resume – we transform lives through innovative products and technology.Creating economic opportunity for every member of the global workforce is a responsibility we all share. To truly transform the global economy, we must evolve the way we hire and enable our talent to serve people of all backgrounds and experiences. LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer.Technology leaders collaborate, maintain balance, commit and achieve results – all while upholding immense pride in their quality of work. Our leaders value their craft and inspire their team to do the same. They balance product and technology strategy to put members first. They are responsible for attracting, retaining, engaging and developing their teams while also leading and inspiring them to achieve the goals of LinkedIn. Engineering leaders are champions of LinkedIn to their coworkers, their networks and the tech community.This role will be based in Bangalore, India.At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together.The Trust organization keeps Linkedin a safe and trusted platform, utilizing and advancing cutting edge AI technology. Within this organization, as a Director of Engineering, you will be responsible for leading the entire Content Abuse Engineering charter, including
- The Content Abuse AI team, that builds models to prevent and detect violating and low quality content
- The Content Abuse Apps Engineering, that builds end-to-end engineering solutions for content moderation.
- You will lead a team AI and apps engineers and managers.
- The team owns multiple charters including embedding based retrieval, generative AI, AI productivity, core foundational models, etc.
- You will partner with cross functional leads to define near-term and long-term roadmaps for content moderation.
- You will work closely with LinkedIn India leadership to build up LinkedIn’s brand in India, with a particular focus on AI.
- 15+ years experience in machine learning, in particular natural language processing, computer vision, generative AI, large language models, or similar areas.
- MS or PhD in Computer Science, Artificial Intelligence or related engineering experience.
- 10+ years experience in people management.
- Strong background in machine learning and data mining techniques.
- 5+ years managing teams of 30+ individuals and first-line managers.
- Good understanding of large scale engineering systems and some or all of big data technologies like Hadoop, Spark, Machine Learning, distributed key-value stores, streaming processes, workflow scheduler, recommender systems, statistical methods, and experimental design.
- Experience in content moderation.
- Ability to lead by example and inspire the team to perform at a very high level, and collaborate very well across different teams.
- Highly motivated and has the ability to convert vague and ill-defined problems into well-defined problems, take initiative and encourage consensus building across the entire organization.
- Enthusiasm for solving interesting problems for real customers.
- A proven track record of delivering end-to-end solutions for high QPS systems that require working with massive amounts of data.
- Strong leadership abilities in order to communicate and drive cross-functional efforts
- Good relationship building and people skills.
- People leadership
- Strategic thinking
- Problem solving
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