Machine Learning Engineer

Role

As a Member of Technical Staff – Machine Learning, you will help build the main machine learning systems used by the product. From your first day, you will work on production systems and learn how machine learning performs in real applications, not only in research.

This role is a good fit for engineers who want to improve their skills by building, testing, fixing, and improving machine learning systems used by real users.

Main Responsibilities

• Build and improve machine learning components for data processing, model training, evaluation, and inference.
• Fine-tune and adapt machine learning models for production systems.
• Create tests and evaluation methods to understand model performance.
• Help build and maintain data pipelines for real and synthetic datasets.
• Find and solve model issues, performance problems, and production incidents.
• Deliver improvements step by step based on user feedback.
• Work closely with senior machine learning engineers and product teams.
• Build solutions that meet production requirements for speed, cost, reliability, and safety.

Technologies

• Python
• PyTorch / JAX
• Production machine learning systems running on GPUs

Requirements

• 3+ years of experience in Machine Learning or a related field.
• Good knowledge of machine learning and modern neural network architectures.
• Some experience training, fine-tuning, or deploying machine learning models.
• Ability to write clean, production-ready code and learn new technologies quickly.
• Curious, willing to learn, and open to feedback.
• Comfortable working on unclear problems with support from experienced team members.
• Interested in delivering solutions quickly and improving them over time.

Expected Results

• Machine learning models achieve the required accuracy, speed, and reliability in production.
• Production problems are detected and solved quickly with clear root-cause analysis.
• Data pipelines, training systems, and inference services are reliable and easy to maintain.
• Work effectively with engineering, research, and product teams to deliver AI-powered features.
• Improve models and systems continuously using real user feedback and measurable results.

Interview Process

If your experience matches the requirements, you will be invited to 3 or 4 interviews. The technical team reviews every application, and interviews are held online or in person.

The hiring process is designed to be simple and efficient. Candidates who demonstrate the required skills and attitude may be invited to join the team.