Staff Machine Learning Engineer

il y a 20 heures


Eu, France PowerUs Temps plein

**️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.

**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.
- 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.
- 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.


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