Staff Product Engineer, AI

Fin; Berlin; Vor Ort; EUR 120.000 - 170.000; Vollzeit

Benefits dieser Stelle

Hybrid work model

Zusammenfassung

RxREVU, Inc. is seeking Staff Product Engineers to join the AI Group to build Fin's AI-powered products. Product Engineers working in ML work closely with both our ML Scientists and product teams.

They must deeply understand our product, our customers, our ML tech stack and our broader product stack. We are very product focused and move to production quickly, often shipping to beta in weeks after offline testing.

Qualifikationen

• 10+ years of experience shipping high-quality products.
• No ML experience required; strong software skills to learn ML on the job.
• Demonstrated impact in past work.
• Strong technical fundamentals; eagerness to learn and develop.
• Deep knowledge of a high-level language (Ruby, Python, JavaScript etc.).
• Willingness to fight for good outcomes.
• BSc in Computer Science, Maths or Statistics or related discipline.

Aufgaben

• Build the systems powering Fin's flagship AI products in the ML Python stack, with Rails collaboration.
• Collaborate with ML Scientists to bring proof-of-concept code to production, robust and scalable.
• Partner with product teams to shape AI-powered customer experiences.
• Contribute to ideation, prototyping, implementation and testing.
• Mentor other engineers and raise technical standards.
• Raise the bar for performance, reliability, and operational excellence.

Kenntnisse

Python

Ruby

JavaScript

Software engineering

ML concepts

Ausbildung

BSc in Computer Science, Maths or Statistics

Tools

Rails

Pandas

NumPy

Git

Jobbeschreibung

What's the opportunity?

We're looking for Staff Product Engineers to join the AI Group to build Fin's AI-powered products. Product Engineers working in ML work closely with both our ML Scientists and product teams. They must deeply understand our product, our customers, our ML tech stack and our broader product stack.

Our group 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 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.

If you are an experienced product engineer who takes an analytical approach to development and has some hands-on experience with ML systems, we'd love to hear from you!

What will I be doing?

Product Engineers in the AI Group

• Build the systems that power Fin's flagship AI products. This usually means working in our ML Python tech stack, but at times also means working across the product on our Rails app too.
• Work alongside our ML Scientists bring proof-of-concept code to production; ensuring it's robust and scalable for real-world use.
• Partner with product teams outside of our group, to shape the best AI-powered product experience for our customers..
• Contribute to all phases of software development including ideation, prototyping, and implementation and testing.
• Play an active role in the hiring, mentoring, and career development of other engineers.
• Raise the bar for technical standards, performance, reliability, and operational excellence within the group and across Fin.

Profile we're looking for

These are meant to be indicative, not hard requirements.

• 10+ years of experience shipping high-quality products.
• No ML experience required. We believe you can be highly effective immediately by bringing excellent software engineering skills, and learn ML as you work on the team.
• You can demonstrate significant impact in the work that you have done.
• You take pride in having strong technical fundamentals; you love learning and are willing to work hard to invest in your development.
• Deep knowledge of a high-level programming language (for example, Ruby, Python, Javascript etc.) but it doesn't need to be a language that we use here!
• Strong willingness to fight for good outcomes
• Bias towards progress over perfection
• BSc in Computer Science, Maths or Statistics or related discipline

Bonus skills & attributes

• Previous experience in data analytics, or statistical role

#LI-Hybrid