Remote Senior Machine Learning Engineer - Recall Team: Search Quality

Description:

• Constructor is a search and product discovery platform focused on enterprise e-commerce, aiming to enhance conversions.
• The Recall team is dedicated to improving search system quality by increasing recall and relevancy of results.
• The role involves addressing practical challenges in building and optimizing models to enhance search quality.
• Responsibilities include fine-tuning large language models, integrating advanced vector search techniques, and utilizing real-time relevance signals.
• The ideal candidate will have a strong background in machine learning and information retrieval, delivering scalable, production-ready solutions.
• Collaboration across the stack is essential, from model development to deployment, to improve search performance and user satisfaction.

Requirements:

• Proficiency in NLP with practical experience in modern architectures is required.
• Strong skills in Python, at least one ML/DL framework (preferably torch), and proficiency in SQL are necessary.
• Experience in delivering production ML systems and conducting A/B tests to validate their effectiveness is essential.
• Familiarity with data pipeline orchestration tools like Airflow for managing and automating ML workflows is required.
• Excellent communication skills to translate intuition into data-driven hypotheses that lead to engineering solutions.
• A passion for helping others grow and succeed as developers is important.
• A data-driven mindset with a focus on experimentation and customer feedback is necessary.
• Strong strategic planning and prioritization skills are required.
• Continuous learning and keeping up with advancements in AI and ML is expected.

Benefits:

• The compensation package includes a base salary range of 90-110k USD, stock options, and a work from home bonus.
• The position is fully remote, allowing employees to choose their living location.
• A work from home stipend is provided to help set up a home office.
• New employees receive Apple laptops to facilitate their work.
• There is a training and development budget available for every employee, refreshed annually.
• Parental leave is offered for qualified employees.
• Employees will work with intelligent colleagues who will support their growth and allow them to make a meaningful impact.