Lead AI Engineer

LEAD AI ENGINEER

Stockholm On-Site Full-Time Immediate Start

Who We Are

We are a well-funded early-stage technology company on a mission to fundamentally redefine the way the world searches discovers and transacts built on a philosophy that puts the user first at every step.

The user is not simply a means of transaction. They are a valued participant whose data works for them not against them enriching their world and their own experience within it with them retaining full control.

Our mission is underpinned by proprietary patent-pending technology built on a novel engine and system.

The Problem You Will Be Solving

The internet was built to inform the many not to serve the individual. Platforms optimize for engagement extraction and consumption at global scale. AI has made this model even more efficient with the user still largely remaining the input not the full beneficiary.

The problem is not information. The world has never had more. The problem is that people give away a lifetime of data without receiving the personalized experience it should enable.

People should not have to search. They should simply find.

Who You Are

Highly talented and motivated to build products with people for people

You thrive in zero-to-one environments and find genuine satisfaction in creating from scratch

A fast-paced thinker with a relentless desire to learn improve and raise the standard around you

Able to inspire elevate and collaborate; you make the people around you better

A great communicator; you express complex ideas with clarity precision and confidence across all levels of the organization

Able to transform ideas into working systems and technical milestones with light speed and precision

Highly ambitious and action-driven; you thrive under pressure and find genuine energy in working at the edge of what is considered possible

Capable of designing and building production-grade systems in a fourth of the time most experienced and sane professionals would consider possible

What You Will Do

Design end-to-end machine learning architectures including data pipelines feature engineering model training real-time serving and evaluation systems

Build scalable personalization and relevance systems that process high-volume sequential behavioral data in real time to power context-aware content delivery at scale

Develop high-velocity model training pipelines capable of learning from large-scale heterogeneous datasets enabling rapid experimentation while maintaining production-grade rigor and reliability

Design and operate low-latency model serving infrastructure that supports seamless version rollouts traffic management and feature transitions with zero user-visible disruption

Create comprehensive experimentation and evaluation platforms combining offline metrics online A/B testing and integrated tooling to provide continuous data-driven visibility into platform improvements

Establish ML engineering standards around code quality reproducibility monitoring and incident response that will be inherited by the broader engineering team

Minimum Qualifications

MSc in Machine Learning Computer Science Statistics or a directly related quantitative field from KTH Chalmers ETH Zurich EPFL or an institution of equivalent standing

3 or more years of industry experience designing and shipping production ML systems at scale; architectures you originated not contributed to

Demonstrated experience working in or alongside early-stage fast-moving technology companies; you understand what it means to build without a safety net

Deep expertise in at least two of: large-scale personalization recommendation and ranking systems sequential behavioral modelling real-time ML serving or privacy-preserving ML at the architecture level

Production software engineering discipline that extends well beyond model code; you design the systems beneath the ML layer not only the models on top of it

Exceptional candidates with fewer years of industry experience will be considered where their research output published work or demonstrated systems constitute an equivalent body of evidence

Preferred Qualifications

PhD in Machine Learning Computer Science or a directly related field; given significant weight in our assessment

Prior experience as a technical lead staff engineer or principal engineer at a high-growth technology company or research institution

Background from a company known for world-class ML systems; Spotify Klarna Google Meta OpenAI DeepMind or comparable

Research publications or substantive independent technical work in relevant technical areas

A track record of delivering complete production-quality ML systems at a pace that clearly distinguishes you from peers

What We Offer

Expect the most talented rigorous and driven colleagues you have worked with; people who lift each other up and hold each other to the highest standard. This company is driven by ideas and innovation regardless of age position or background. The best ideas must win and the people behind them recognized and rewarded.

A home for exceptional people and geniuses within their domain; those who have always known what they are capable of and have been waiting for the environment to prove it to the world whilst first being seen and supported by their coworkers.

Compensation includes an attractive salary and meaningful equity ownership for an early-stage startup.

Equal Opportunity

We are an equal opportunity employer committed to building an inclusive high-performance culture where everyone can do their best work and reach their full potential. We welcome applicants of all backgrounds and do not discriminate on the basis of race color religion national origin gender gender identity or expression sexual orientation age disability or any other characteristic protected by applicable law.

Application

To apply send your CV/resume with direct references GitHub profile LinkedIn profile and a brief note on how and why you would like to contribute to our mission to . Upon initial acceptance an in-person interview will follow shortly in Stockholm Sweden.

Please note that all applications and interviews are conducted in English. Fluency in written and spoken English is a requirement for all roles.

All applications are treated with strict confidentiality.

Required Experience:

IC