Staff Machine Learning Scientist, null

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. 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 team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. What will I be doing?

1. Play an active role in hiring, mentoring, and career development of other engineers
2. Raise the bar for technical standards, performance, reliability, and operational excellence
3. Identify areas where ML can create value for our customers
4. Identify the right ML framing of product problems - Working with teammates and Product and Design stakeholders
5. Conduct exploratory data analysis and research - Deeply understand the problem area
6. Research and identify the right algorithms and tools - Being pragmatic, but innovating right to the cutting-edge when needed
7. Perform offline evaluation to gather evidence an algorithm will work
8. Work with engineers to bring prototypes to production
9. Plan, measure & socialize learnings to inform iteration
10. Partner deeply with the rest of the team, and others, to build excellent ML products

What skills might I need?

1. 5-8 years applied ML experience
2. Previous background in a senior/staff role (data science, software development or academic)
3. Significant, demonstrated impact that your work has had on the product and/or the teams
4. Experience as the primary technical leader for a team
5. Strong communication skills, both within engineering teams and across disciplines
6. Comfort with ambiguity
7. Typically have advanced education in ML or related field (e.g. MSc)
8. Scientific thinking skills
9. Track record shipping ML products
10. PhD or other experience in a research environment
11. Deep experience in an applicable ML area - E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering
12. Strong stats or math background

Benefits:

1. Competitive salary and equity in a fast-growing start-up
2. We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
3. Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
4. Open vacation policy and flexible holidays so you can take time off when you need it
5. Paid maternity leave, as well as 6 weeks paternity leave for fathers
6. Cycle-to-Work Scheme with secure bike storage
7. MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done

Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier, and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least two days per week. We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. Our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom 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. #J-18808-Ljbffr