Senior Machine Learning Engineer

Role

As a Senior Member of Technical Staff – Machine Learning, you will take responsibility for important machine learning systems used in production. You will solve complex problems, design practical solutions, and build reliable systems that work well at scale.

This is a hands-on role for engineers who enjoy building and improving machine learning systems used by real customers.

Main Responsibilities

• Build the main machine learning systems that support the AI product.
• Manage the complete machine learning process, including data preparation, training, evaluation, inference, and continuous improvement.
• Turn research ideas into production-ready machine learning solutions.
• Find and fix model and system problems using data from production.
• Improve systems through regular testing, measurement, and updates.
• Work closely with research, engineering, and product teams to deliver useful AI features.
• Support other machine learning engineers by sharing knowledge, reviewing work, and giving technical guidance.
• Build systems that meet production requirements for speed, cost, reliability, and safety.

Technologies

• Python
• PyTorch / JAX
• GPU-based training and inference systems

Requirements

• 5+ years of experience in Machine Learning or a related field.
• Experience building and delivering machine learning systems used in production.
• Good understanding of how modern machine learning models perform in real-world environments.
• Ability to write clean, reliable, and maintainable production code.
• Strong ownership and the ability to work independently from planning to delivery.
• Fast learner with good communication skills and a mindset of continuous improvement.

Expected Results

• Machine learning models meet goals for accuracy, speed, reliability, and efficiency in production.
• Production problems are monitored, investigated, and solved quickly with minimal impact on users.
• Data pipelines, training systems, and inference services remain reliable, scalable, and easy to maintain.
• Machine learning systems improve over time based on real user feedback and production data.
• Other engineers receive technical support and mentoring that helps improve the team’s overall skills.
• Work closely with different teams to make sure AI features fit well into the product and support business goals.

How We Work

We believe the best products are created by small teams with excellent skills. We work together, make decisions as a team, and move quickly while keeping high quality. We encourage everyone to stay organized, make good decisions, and work independently.

Interview Process

If your experience matches the needs, you will be invited to 3 or 4 interviews. The technical team reviews every application. Interviews are held online or in person. The hiring process is clear and efficient.