Staff Machine Learning Engineer - Remote

Overview

As a Staff Machine Learning Engineer, you’ll provide technical leadership for the systems that underpin our marketplace. You'll understand and stay at the forefront of state-of-the-art ranking and recommendation systems, collaborating with product managers and business leaders to optimize our systems for long-term business outcomes.

In Short

• Break new technical ground in developing the ranking and recommendation infrastructure that underpins our job marketplace.
• Work seamlessly with product, design, engineering, and business stakeholders, and effectively explain technical concepts to non-technical audiences.
• Serve as the go-to expert for ML system design and architecture reviews.
• Lead discussions and decision-making on adopting new technologies, practices, and frameworks.
• Consistently apply both technical breadth and product/business awareness in your work.
• Take an active interest in future MLE hiring by contributing to interviews, improving our processes, refining question banks, and enhancing how we assess candidates.
• Provide technical coaching and mentoring to engineers at any level.

Requirements

• Multiple years of experience in a Senior or Staff position, with expertise in designing and building large ML systems end-to-end.
• A strong track record in the development of ranking and recommendation systems.
• Experience working in highly automated, continuously deployed, and A/B tested environments, with knowledge of how to iterate on ranking systems and models within these systems.
• Advanced analytical thinking skills.
• A subject matter expert who is self-motivated, capable of creating and executing roadmaps, and able to communicate effectively with non-technical stakeholders.
• Fluent English language skills are essential.

Benefits

• A competitive compensation package, including Employee Stock Options.
• Flexibility to work remotely or from our office in Berlin.
• 30 days of vacation to ensure you have time to recharge.
• An annual budget for L&D via Udemy to support your professional growth.
• A mobility flat rate of €50/month for sharing services such as cars, scooters, and public transport (for employees based in Germany).
• Discounts for Urban Sports Club or Gym Pass to keep you active and healthy (for employees based in Germany).
• The opportunity to join an early-stage, fast-growing startup backed by Tier-1 investors.
• The chance to make a significant impact on company strategy from day one and collaborate directly with the founders.