Staff Machine Learning Engineer

⚡️About PowerUs 

PowerUs is building the ultimate career platform for skilled blue-collar workers, helping them find jobs they love and supporting their professional growth—from apprenticeship to retirement.

As a two-way marketplace, we connect skilled workers with companies that need their expertise. We empower workers to transition into high-demand industries, such as renewable energy, where they can increase their earnings by up to 50%. At the same time, we help companies quickly hire the skilled talent they need, bridging a critical gap in the shift toward a sustainable energy future.

With €24 million raised in our Series B financing, we’re dedicated to making skilled blue-collar work attractive, and driving a more sustainable future.

🙌 Job Mission

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.

You’ll help coordinate and organise the work of both software and data engineers. While your primary expertise lies in machine learning, particularly in recommendation systems, you're also well-versed in data science and capable of applying data to recommend the right analyses.

🎯 What You’ll Do

• 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.

🌟 What We’re Looking For

• 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.

💪 What We Offer

• 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.

As an equal opportunity employer, we proudly welcome applications from people of all races, ethnicities, disability statuses, ages, religions, gender identities, and sexual orientations. We encourage you to apply even if you don't think you meet all of the criteria above but are still interested in the role and our mission. Nobody checks every box, and we're looking for team members who are genuinely excited to join PowerUs! We look forward to receiving your application!