constructor - Senior Machine Learning Engineer: ML Recall
Requirements
• 3+ years of professional experience in applied machine learning • Excellent NLP knowledge (especially transformer-based approaches) • Comprehensive knowledge of classical machine learning • Extensive Python knowledge • Experience with any DL framework (we’re using torch) • Experience with any SQL dialect (we’re using SparkSQL, MySQL and a couple more dialects) • You have delivered production ML systems • Proficiency with big data stack for end-to-end ML product development (we’re using Pyspark for most of our pipelines) • You are able to translate intuition into data-driven hypotheses that result in engineering solutions that bring significant business value • Proactivity: you can't close your eyes to problems, but are ready to solve them • You are friendly and willing to help your teammates & others • Experience designing, conducting, and analyzing A/B tests • Experience with a public cloud like AWS, Azure, or GCP • Strong knowledge of data structures, algorithms and their trade-off • Ability to explain difficult concepts • You love to work on performance optimization, such as increasing result quality and improving code performance
Responsibilities
• Build and deploy robust ML systems for search (including text/image & multimodal approaches, etc) • Tune LLMs to improve our system in different aspects, not limited to what we already have • Improve business KPIs by using new techniques/models and validating hypotheses. • Collaborate with other technical teams to exchange experiences to improve the overall system • Be responsible for what you and your team do
Benefits
• 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year • 🌎 Fully remote team - choose where you live • 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office • 💻 Apple laptops provided for new employees • 🧑🎓 Training and development budget for every employee, refreshed each year • 👪 Maternity & Paternity leave for qualified employees • 🧠 Work with smart people who will help you grow and make a meaningful impact • 💵 Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results • 📈 Stock options - offered in addition to the base salary • 🎉 Regular team offsites to connect and collaborate • DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR
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