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 also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

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.

LinkedIn's Machine Learning Engineers are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms. Unlike other companies that separate these roles, our engineers work on projects from ideation to implementation.

Responsibilities:

• Building and deploying relevance models that power our various recommender systems and personalized intent engines

• Keeping scalability and performance in mind through your design and engineering choices.

• You will 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.

• You will work with big data and analyze tracking data to understand member preferences and identify opportunities for taking the products you work on to the next level.

• You will work directly with partner data science, product, and infrastructure teams to take your ideas from conception to production.

Basic Qualifications:

• Bachelor's degree in Computer Science or related technical field or equivalent technical experience

• 1+ years experience with machine learning, data mining, and information retrieval or natural language processing

• 1+ year of industry experience in software design, development, and algorithm related solutions.

• 1+ years experience in programming languages such as Java, Python, etc.

Preferred Qualifications: 

● 1+ years of relevant work experience

● MS or PhD in Computer Science or related technical discipline

● Experience developing large scale systems

● Knowledge of recommendation systems

● Ability to diagnose technical problems, debug code, and automate routine tasks

● Analytical approach coupled with solid communication skills and a sense of ownership

Suggested Skills:

• Experience in Machine Learning and Deep Learning

• Experience in Big Data

• Strong technical background & Strategic thinking

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Global Data Privacy Notice for Job Candidates

This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice

All Dublin jobs at LinkedIn are available under our ReturnIn Scheme, for people returning to work from family or care responsibilities. This will include extra support through interview stage, and if successful, an extended induction according to your needs. To access the scheme just let your recruiter know that you're a returner when you apply.