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Director, Software Engineering, Machine Learning

India, Bengaluru
Last update 2024-06-15
Expires 2024-06-14
ID #2186609475
Free
Director, Software Engineering, Machine Learning
India, Bengaluru,
Modified June 8, 2024

Description

Linked In 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. Linked In 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 Linked In. Engineering leaders are champions of Linked In to their coworkers, their networks and the tech community.

The Trust, Privacy and Responsible AI organization keeps Linkedin a safe and trusted platform, utilizing and advancing cutting edge AI technology while ensuring responsible data and AI practices company-wide. Within this organization, as a Director of Engineering, you will have two main responsibilities:
- AI Trust Foundations Lead, building and scaling sophisticated AI foundations and capabilities such as Generative AI. Your leadership will ensure these technologies are also widely adopted throughout the organization and by other AI teams, reinforcing Linked In's position at the forefront of AI innovation.
- India AI Site Lead, steering the AI engineering strategy and fostering a culture of excellence, nurturing internal and external collaborations, strategizing talent acquisition and retention, and acting as the face of Linked In's AI endeavors in both internal leadership circles and external engagements. Your vision will shape the future of AI at Linked In India.

This role will be based in Bangalore
At Linked In, 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 Linked In office, depending on what’s best for you and when it is important for your team to be together.

Responsibilities

- You will be directly leading the BLR Trust AI Foundations team of 20+ AI engineers and supporting 50+ AI engineers across the AI teams in India
- 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 various charters and initiatives that can lead to significant impact on our products
- You are expected to grow a strong bench of AI leaders to help Linked In further expand its AI footprint in India
- You will work closely with Linked In India leadership to build up Linked In’s brand in India, with a particular focus on AI
- You will be overseeing all algorithmic developments and end-to-end deployments of machine learning/optimization algorithms

Basic Qualifications

- Minimum of 10 years experience in machine learning, in particular natural language processing, computer vision, knowledge graph, generative AI, search, or similar areas
- MS or Ph D in Computer Science, Artificial Intelligence or related engineering experience

Preferred Qualifications

- Strong background in machine learning and data mining techniques. 5+ years managing teams of 50+ 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.
- 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.
- Publications at prestigious conferences and patents are desirable.
- 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:

- Technical Leadership
- People Management
- Stakeholder Management

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

India Disability Policy
Linked In 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 https://legal.linkedin.com/content/dam/legal/Policy_India_Equal Opp PWD_9-12-2023.pdf

Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which Linked In handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal

Job details:

Job type: Full time
Contract type: Permanent
Salary type: Monthly
Occupation: Director, software engineering, machine learning
Work from home:

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