Senior Machine Learning Scientist

Meyandy LLC; Berlin; Hybrid; EUR 70.000 - 105.000; Vollzeit

Zusammenfassung

Fin in Berlin is seeking a passionate Machine Learning Engineer to shape the next generation of AI customer agents. You will identify where ML can create value, design product-focused experiments, and collaborate with Product, Design, and engineering teams.

Work includes researching algorithms, building prototypes, evaluating offline, and partnering across teams to deliver deployable ML features that impact the customer journey.

Qualifikationen

• 3-5 years applied ML experience.
• Practical stats knowledge (experiment design, confounding, etc).
• Intermediate programming skills.
• Strong communication skills within engineering teams and across disciplines.
• Comfort with ambiguity.
• Typically have advanced education in ML or related field (e.g. MSc).
• Scientific thinking skills.

Aufgaben

• Identify areas where ML can create value for our customers.
• Identify the right ML framing of product problems.
• Collaborate with Product and Design stakeholders.
• Conduct exploratory data analysis and research.
• deeply understand the problem area.
• Research and identify the right algorithms and tools.
• Be pragmatic, but innovate at the cutting-edge when needed.
• Perform offline evaluation to validate algorithms.
• Work with engineers to bring prototypes to production.
• Plan, measure & socialize learnings to inform iteration.
• Partner with the rest of the team to build ML products.

Kenntnisse

Applied ML

Experiment design

Programming

Communication

Ambiguity tolerance

Ausbildung

MSc in ML or related field

Tools

Python

PyTorch

TensorFlow

Jobbeschreibung

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. 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.

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.

Speed is something we fight for every day at Fin, and we believe Berlin is built for people who share that instinct. We are drawn to Berlin by its rare blend of deep technical talent and rich creative culture - all within a vibrant, globally connected city that’s close to our R&D hubs in Dublin and London. It’s a place where the best of the best technical talent thrive, and where people from around the world are eager to relocate and build ambitious products.

Our ambition is to hire 100 people in Berlin over the year ahead across engineering, AI, data science, product, and design. We believe this is the most exciting time to join, be the founding R&D talent in the region and make a lasting impact as we build the world's number one customer agent!

What's the opportunity?

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.

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