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Senior Machine Learning Engineer, Ireland
Client:
Intercom
Location:
Ireland, Ireland
Job Category:
Other
EU work permit required:
Yes
Job Reference:
345a857047fd
Job Views:
4
Posted:
19.04.2025
Expiry Date:
03.06.2025
Job Description:
Intercom is an AI-first customer service platform that helps businesses deliver better, faster, more personalized support.
Intercom is bringing AI-first Customer Service to the world, dramatically improving experiences for customers, support agents, and managers alike. Modern, fast, and easy-to-use, Intercom's complete AI-first Customer Service Platform enhances the customer experience, improves operational efficiency, and scales with our customers' business every step of the way. Intercom is also the most innovative and fastest improving product on the market, shipping over 200 product improvements every year and bringing AI features to market before anyone else.
What's the opportunity?
Intercom's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product-focused team, working in partnership with Product and Design functions. Our dedicated ML product engineers enable us to move to production quickly, often shipping to beta in weeks after a successful offline test.
We are passionate about applying machine learning technology and have productized everything from classic supervised models to cutting-edge unsupervised clustering algorithms and novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy.
What will I be doing?
1. Identify areas where ML can create value for our customers
2. Contribute to finding the right ML framing of a product problem
3. Work with teammates and Product and Design stakeholders
4. Take algorithms which work offline and put them in a production setting
5. Deeply understand and modify as needed
6. Solve hard scalability and optimization problems
7. Build new data infrastructure to enable exploration
8. Establish processes for large scale data analyses, model development, validation, and implementation
9. Work with teammates to measure and iterate on algorithm performance
10. Partner deeply with the rest of the team, and others, to build excellent ML products
What skills might I need?
These are meant to be indicative, not hard requirements.
1. Excellent pragmatic engineering skills
2. Familiarity with tools used to write, test, deploy, debug and monitor software
3. Comfort owning features from inception to outcome
4. 5+ years experience in a production environment, with contributions to the design and architecture of distributed systems
5. Strong communication skills, both within engineering teams and across disciplines
6. Excellent programming skills
7. Comfort with ambiguity
8. BSc in Computer Science, or similar knowledge
9. Deep knowledge of AWS services
10. Track record shipping ML products
11. Experience in a research environment
12. Algorithmic optimization experience
13. Advanced education in CS, ML, Math, Stats, or similar
14. Practical stats knowledge (experiment design, dealing with confounding, etc)
15. Experience in an applicable ML area (e.g., NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering)
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
* Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
* Open vacation policy and flexible holidays so you can take time off when you need it
* Paid maternity leave, as well as 6 weeks paternity leave for fathers
* Cycle-to-Work Scheme with secure bike storage
* MacBooks are our standard, but we're happy to get you whatever equipment helps you get your job done
* Hybrid working policy to maintain connection and collaboration
Intercom values diversity and is committed to a policy of Equal Employment Opportunity. We will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
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