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Machine Learning Researcher Dublin, Ireland

4 weeks ago


Dublin, Dublin City, Ireland Intercom Full time
About Intercom:

At Intercom, we are building the leading AI for customer service. As we continue to push the boundaries of what's possible, we are looking for a Machine Learning Researcher to join our innovative team and lead impactful research that shapes the future of AI in customer service.

What's the opportunity?

As a Machine Learning Researcher at Intercom, you will conduct cutting-edge research and develop AI models that enhance our customer service AI. You will contribute to both product innovation and the wider AI research community.

What will I be doing?

- Conduct advanced research in LLMs, deep learning, reinforcement learning and other AI areas relevant to customer service and communication.
- Write scientific papers and contribute to top-tier conferences and journals, enhancing Intercom's position in the AI research community.
- Identify and explore emerging research areas, developing long-term strategies to expand the impact of AI in customer service.
- Lead and contribute to the design, implementation, and evaluation of machine learning models and algorithms that improve our products.
- Collaborate with external researchers, universities, and technical institutes to explore new AI technologies.
- Collaborate with cross-functional teams to integrate new AI research into the Intercom platform, impacting millions of users.
- Mentor and influence other researchers, shaping research agendas and helping drive innovation.

What skills do I need?

- PhD degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field, or equivalent practical experience.
- At least 3 years of experience leading research agendas in academia or industry.
- A proven track record of writing scientific publications submitted to conferences, journals, or public repositories.
- Expertise in key ML areas such as reinforcement learning, unsupervised learning, deep learning, and NLP.
- Proficiency in coding, with experience in Python, TensorFlow, or PyTorch for implementing machine learning models.

Bonus skills & attributes

- Experience with the full research lifecycle: from designing experiments and prototypes to evaluating models and deploying solutions.
- Experience leading research efforts and influencing other researchers to drive innovation and collaboration.
- Strong familiarity with AI techniques such as reinforcement learning, unsupervised learning, and generative models.
- Ability to communicate complex ideas clearly, both in written publications and presentations, to a wide audience, including researchers, engineers, and product teams.
- Hands-on coding experience in machine learning, with a focus on deep learning or NLP.

Why Intercom?

- Work on high-impact projects in a rapidly growing field of AI, where your work will directly impact millions of businesses and their customers.
- Join a talented and diverse team passionate about using AI to solve real-world problems.
- Thrive in a flexible, collaborative, and innovative environment where you'll have the autonomy to pursue new ideas and research.
- Competitive salary, equity, and benefits, along with opportunities for professional growth and development.

Benefits

We are a well-treated bunch, with awesome benefits If there's something important to you that's not on this list, talk to us

- Competitive salary and equity in a fast-growing start-up.
- We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen.
- Regular compensation reviews - we reward great work
- Pension scheme & match up to 4%.
- Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents.
- Flexible paid time off policy.
- Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones.
- If you're cycling, we've got you covered on the Cycle-to-Work Scheme. With secure bike storage too.
- MacBooks are our standard, but we're happy to get you whatever equipment helps you get your job done.

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