About the role
As a Senior ML Field Engineer at Apheris, you will be working with us to develop and commercialize our Apheris Compute Gateway – a software product that enables ML Engineers to build models on distributed and sensitive data using federated learning. You will work as part of our commercial & pre-sales team with prospective customers at a technical level, evaluating their needs and demonstrating how our product meets them. These may involve complex enterprise setups where organizations securely collaborate on AI across boundaries. You will also work closely together with our product and engineering teams to build prototypes and POCs that will help us accelerate our deals. We would also like you to build a presence for Apheris in the wider community by attending and presenting at workshops and conferences, and further activities to help build a developer community around our product.
What we offer you
- Industry-competitive compensation
- Early-stage equity
- Remote-first working – work where you work best, whether from home or a co-working space near you
- The right hardware to make you efficient – be it a laptop with Linux, Windows or a MacBook
- Great suite of benefits including a wellbeing budget, mental health benefits, a work from home budget, a co-working stipend and a learning and development budget
- Regular team lunches and social events
- Generous holiday allowance (location-dependent)
- Quarterly All Hands meet-up at our Berlin HQ
- A fun and diverse team of mission-driven individuals with a drive to see AI and ML used for good
- Plenty of room to grow personally and professionally and shape your own role
Here’s a bit more about our culture and ambitions at Apheris!
About Apheris
Finding solutions to the planet’s most urgent problems requires organizations to collaborate. But the data and insights needed to solve these challenges are locked away in businesses, unable to be centralized or directly shared for collaboration with customers and partners.
Apheris is pioneering a new way for organizations to securely collaborate on even the most sensitive data across organizational and geographical boundaries. By unlocking value from sensitive data, Apheris is accelerating discovery and innovation, driving operational efficiency, and reducing risk and carbon impact for our customers and their partners.
Apheris was founded in 2019 after our co-founders built data applications that couldn't be used as data was distributed across departments and couldn’t be shared or centralized as a result of regulation. From this they got thinking: what if the data didn’t have to move and instead the computation was sent to the data? Fast-forward to today, Apheris is a platform that empowers businesses to run advanced analytics and machine learning models across organizational and geographical borders in a way that’s secure, private, and governed. By powering their data infrastructure with federated ML and analytics, they are able to build and operationalize data applications in ways previously not possible.
At Apheris, we’re unified by our mission and the positive impact we can have. We’re excited by the potential we can bring with our federated approach and are looking for the next addition to our marketing team to join us in realizing our mission.
Logistics
Our interview process is split into three phases:
Initial Screening: If your application matches our requirements, we invite you to an initial video call to explore the fit. In this 30min interview, you will get to know us and the role. The interviewer will be interested in your relevant experiences and skills, as well as answer any question on the company and the role itself that you may have.
Deep Dive: In this phase, domain experts from our team will assess your skills and knowledge required for the role by asking you about meaningful experiences or your solutions for specific scenarios in line with the role we are staffing.
Final Interview: Finally, we invite you for up to three hours of targeted sessions with our founders, talking about our culture and meeting future co-workers on the ground.
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