Director, Software Engineering, Machine Learning
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Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
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Job Summary
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 whats 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.
Responsibilities
- 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 LinkedIns brand in India with a particular focus on AI.
Qualifications :
Basic Qualifications
- 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.
Preferred Qualifications
- 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.
Suggested Skills
- People leadership
- Strategic thinking
- Problem solving
You will Benefit from our Culture
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
Additional Information :
India Disability Policy
LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers including individuals with disabilities. For more information on our equal opportunity policy please visit Data Privacy Notice for Job Candidates
Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: Work :
No
Employment Type :
Full-time
Key Skills
- Go
- Lean
- Management Experience
- React
- Node.js
- Operations Management
- Project Management
- Research & Development
- Software Development
- Team Management
- GraphQL
- Leadership Experience
About Company
LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re ... View more
