Posted by employer 11 months ago
First seen on Joblaze 6 months ago
Last verified on the company career page 1 day ago
Skills & Technologies
Requirements
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
In the role of Staff Product Engineer at Intercom, the individual will focus on developing and refining AI-powered products, collaborating closely with machine learning scientists and product teams to ensure robust and scalable solutions. Proficiency in a high-level programming language, particularly Python, is essential, along with a strong foundation in software engineering principles. This position is ideal for seasoned engineers with over a decade of experience who are eager to learn about machine learning while contributing to impactful projects. The team emphasizes rapid prototyping and a product-focused approach, fostering a culture of collaboration and innovation.
Joblaze insights
Quick facts
From the original posting
Fin, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
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!
Product Engineers in the AI Group
These are meant to be indicative, not hard requirements.
Previous experience in data analytics, or statistical role
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Unleash Your Potential
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