At a Glance
- Tasks: Drive innovation in machine learning to enhance customer experiences and solve real-world problems.
- Company: Join a fast-growing AI company transforming customer support with cutting-edge technology.
- Benefits: Enjoy competitive salary, equity, flexible time off, and comprehensive health benefits.
- Other info: Hybrid working policy with a focus on collaboration and a supportive culture.
- Why this job: Be part of a passionate team pushing the boundaries of machine learning and making an impact.
- Qualifications: 3-5 years of applied ML experience and strong communication skills required.
The predicted salary is between 60000 - 80000 € per year.
Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support.
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 focussed team. We work in partnership with Product and Design functions of teams we support. 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. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy.
What will I be doing?
- Identify areas where ML can create value for our customers
- Identify the right ML framing of product problems
- Working with teammates and Product and Design stakeholders
- Conduct exploratory data analysis and research
- Deeply understand the problem area
- Research and identify the right algorithms and tools
- Being pragmatic, but innovating right to the cutting-edge when needed
- Perform offline evaluation to gather evidence an algorithm will work
- Work with engineers to bring prototypes to production
- Plan, measure & socialize learnings to inform iteration
- Partner deeply with the rest of team, and others, to build excellent ML products
What skills might I need?
- Broad applied machine learning knowledge
- 3-5 years applied ML experience
- Practical stats knowledge (experiment design, dealing with confounding etc)
- Intermediate programming skills
- Strong communication skills, both within engineering teams and across disciplines
- Comfort with ambiguity
- Typically have advanced education in ML or related field (e.g. MSc)
- Scientific thinking skills
Bonus skills & attributes
- Track record shipping ML products
- PhD or other experience in a research environment
- Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering
- Strong stats or math background
- Visualization, data skills, SQL, matplotlib, etc.
Benefits
- 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
- 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
- Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated
- Relocation support for those moving to our offices
Policies
Fin 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 three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, 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. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.
Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin 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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Senior Machine Learning Scientist in London employer: Fin
Fin is an exceptional employer, offering a dynamic work environment where innovation thrives and employees are empowered to push the boundaries of machine learning. With competitive salaries, comprehensive benefits, and a strong focus on employee growth, Fin fosters a collaborative culture that values diversity and encourages experimentation. Located in a vibrant area, the company provides flexible working arrangements and a supportive atmosphere, making it an ideal place for those seeking meaningful and rewarding careers in AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Scientist in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Fin or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio of projects or contributions to open-source ML tools, make sure to highlight them. We love seeing practical applications of your knowledge!
✨Tip Number 3
Prepare for the interview by brushing up on your problem-solving skills. Be ready to discuss how you would tackle real-world ML challenges. We want to see your thought process in action!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Senior Machine Learning Scientist in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Machine Learning Scientist role. Highlight your relevant experience in applied ML, especially any projects that showcase your ability to deliver value through machine learning.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how your skills align with our mission at Fin. Don’t forget to mention any specific algorithms or technologies you’ve worked with.
Showcase Your Communication Skills:Strong communication is key for this role. In your application, demonstrate how you've effectively collaborated with cross-functional teams in the past. This will show us that you can work well with Product and Design stakeholders.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Fin
✨Know Your ML Stuff
Make sure you brush up on your machine learning knowledge, especially the algorithms and tools mentioned in the job description. Be ready to discuss your experience with supervised and unsupervised models, as well as any cutting-edge techniques you've used.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific instances where you've identified problems and framed them in a way that machine learning could provide value. Use examples from your past work to illustrate how you approached these challenges and what the outcomes were.
✨Communicate Clearly
Strong communication skills are key, so practice explaining complex concepts in simple terms. Be ready to discuss how you've collaborated with cross-functional teams, particularly with product and design stakeholders, to bring ML products to life.
✨Be Ready for Ambiguity
The role involves dealing with ambiguity, so think of examples where you've thrived in uncertain situations. Highlight your scientific thinking skills and how you've navigated through unclear problem areas to find effective solutions.
