Senior Machine Learning Scientist

About the role

<div class="content-intro"><p><a href="https://fin.ai/">Fin</a> is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences.</p> <p>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. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams.</p> <p>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. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers.</p></div><h2>What's the opportunity? </h2> <p>Fin'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.</p> <p>We are an extremely product focussed team. The listing location is London, England.

Key facts

What you'll do

• <div class="content-intro"><p><a href="https://fin.ai/">Fin</a> is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences.</p> <p>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.
• Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams.</p> <p>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.
• Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers.</p></div><h2>What's the opportunity? </h2> <p>Fin'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.</p> <p>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.</p> <p>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.</p> <h2>What will I be doing? </h2> <ul> <li>Identify areas where ML can create value for our customers</li> <li>Identify the right ML framing of product problems</li> <li>Working with teammates and Product and Design stakeholders</li> <li>Conduct exploratory data analysis and research</li> <li>Deeply understand the problem area</li> <li>Research and identify the right algorithms and tools</li> <li>Being pragmatic, but innovating right to the cutting-edge when needed</li> <li>Perform offline evaluation to gather evidence an algorithm will work</li> <li>Work with engineers to bring prototypes to production</li> <li>Plan, measure & socialize learnings to inform iteration</li> <li>Partner deeply with the rest of team, and others, to build excellent ML products</li> </ul> <h2>What skills might I need? </h2> <ul> <li>Broad applied machine learning knowledge</li> <li>3-5 years applied ML experience</li> <li>Practical stats knowledge (experiment design, dealing with confounding etc)</li> <li>Intermediate programming skills</li> <li>Strong communication skills, both within engineering teams and across disciplines.</li> <li>Comfort with ambiguity</li> <li>Typically have advanced education in ML or related field (e.g.
• MSc)</li> <li>Scientific thinking skills</li> </ul> <h2>Bonus skills & attributes </h2> <ul> <li>Track record shipping ML products</li> <li>PhD or other experience in a research environment</li> <li>Deep experience in an applicable ML area.

Requirements

• <div class="content-intro"><p><a href="https://fin.ai/">Fin</a> is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences.</p> <p>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.
• Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams.</p> <p>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.
• We test and measure the real customer impact of each model we deploy.</p> <h2>What will I be doing? </h2> <ul> <li>Identify areas where ML can create value for our customers</li> <li>Identify the right ML framing of product problems</li> <li>Working with teammates and Product and Design stakeholders</li> <li>Conduct exploratory data analysis and research</li> <li>Deeply understand the problem area</li> <li>Research and identify the right algorithms and tools</li> <li>Being pragmatic, but innovating right to the cutting-edge when needed</li> <li>Perform offline evaluation to gather evidence an algorithm will work</li> <li>Work with engineers to bring prototypes to production</li> <li>Plan, measure & socialize learnings to inform iteration</li> <li>Partner deeply with the rest of team, and others, to build excellent ML products</li> </ul> <h2>What skills might I need? </h2> <ul> <li>Broad applied machine learning knowledge</li> <li>3-5 years applied ML experience</li> <li>Practical stats knowledge (experiment design, dealing with confounding etc)</li> <li>Intermediate programming skills</li> <li>Strong communication skills, both within engineering teams and across disciplines.</li> <li>Comfort with ambiguity</li> <li>Typically have advanced education in ML or related field (e.g.
• MSc)</li> <li>Scientific thinking skills</li> </ul> <h2>Bonus skills & attributes </h2> <ul> <li>Track record shipping ML products</li> <li>PhD or other experience in a research environment</li> <li>Deep experience in an applicable ML area.

About Fin

Fin is a next-generation payments platform built for high-value, global, and instant transactions. We are a Series A-stage company backed by Sequoia, Circle, and other notable investors.

Data and ML work turns messy inputs into measures a team can act on. Analysts and scientists clean datasets, choose metrics, and explain uncertainty. Engineers in this family also keep pipelines from breaking when schemas change. Nothing in this section adds model types or tools unless the listing named them. It only describes how data roles generally operate.

About the location

The posting places this role in London, England. Local hiring markets vary in interview pace and compensation bands. Location copy is here so readers understand the geography attached to the title.