Senior Machine Learning Engineer: Search Quality

About the role

Constructor is an AI-driven platform focused on enhancing e-commerce search and discovery. As a Senior Machine Learning Engineer, you will play a crucial role in fine-tuning models to improve search relevance and user experience for global retailers.

You will be responsible for real-time quality monitoring and automated pipelines to ensure optimal performance. The team values collaboration and supports professional growth, making it an ideal environment for those looking to make a significant impact.

The salary range for this position is between $115,000 and $195,500, depending on various factors.

Skills that matter here

• Python: This role requires strong Python skills for developing and fine-tuning machine learning models.
• PyTorch: Experience with PyTorch is essential for building and evaluating machine learning systems.
• SQL: Fluency in SQL is necessary for data manipulation and retrieval.
• Spark: Knowledge of Spark is important for data orchestration and processing.
• Airflow: Experience with Airflow is required for managing automated workflows.

Who this role suits

• Candidates should have a strong background in machine learning and a collaborative mindset.
• They should be comfortable working in a fully remote environment and value continuous learning.
• Ideal candidates enjoy problem-solving and have experience in cross-functional team dynamics.

From the employer

• LLM-based evaluation: fine-tune models to assess relevance, understand query intent, and align judgments with user behavior.
• Real-time quality in production: reranking, filtering, and signal computation with strict latency requirements.
• Automated quality monitoring: pipelines to detect degradations and generate actionable recommendations.

• 4+ years shipping production ML systems
• Experience with search, information retrieval, or recommendation systems
• Hands-on experience with fine-tuning, evaluation frameworks, and scaling LLM deployments
• Strong Python and PyTorch; fluency in SQL and data orchestration tools (Spark, Airflow)
• Experience designing and running A/B tests to validate model impact
• Excellent English communication skills
• Experience collaborating in cross-functional teams (ranking, product, data engineering)

• Work with smart and empathetic people who will help you grow and make a meaningful impact.
• Regular team offsite events to connect and collaborate.
• Fully remote team - choose where you live.
• Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year.
• Work from home stipend for home office setup.
• Apple laptops provided for new employees.
• Training and development budget refreshed each year.
• Maternity & Paternity leave for qualified employees.
• Base salary: $80k–$120K USD, depending on knowledge, skills, experience, and interview results.
• Stock options offered in addition to the base salary.