Remote Machine Learning Engineer/Applied Scientist Job in NAMER BioRender

Who you are

• Extensive industry experience as an ML engineer with expertise in one or more areas: Information Retrieval, Recommender Systems, Learning-to-Rank, Large Language Models, NLP, Deep Learning, Transfer Learning, Multi-task Learning, Graph Neural Network, Human-in-the-loop
• Hands-on experience with traditional keyword-based search technologies and modern search paradigm using vector-based retrieval algorithms and search systems like Elasticsearch
• Experience with deep learning frameworks such as PyTorch and TensorFlow, Large Language Models, Generative AI, Langchain, Transformer models
• Experience with data exploration, analysis, and feature engineering
• Excellent programming skills with python, scala, or java
• Expertise with operationalizing, monitoring, and scaling machine learning models and pipelines in cloud ecosystems
• Previous experience working cross-functionally with product and engineers in an agile environment
• Experience building a variety of ML applications end to end
• Familiar with state-of-the-art deep learning and AI research
• Experience with distributed model training
• Experience developing custom model architectures

Desirables

• State-of-the-art ML/AI research familiarity
• Publication track record

What the job involves

• You will design and execute multi-quarter ML initiatives that deliver measurable technical, organizational, or business impacts in our Search & Recommendations domain.
• Oversee the performance and continued optimization of our search engine and recommendation systems: build machine learning models to improve query understanding, and extract user intent and context to deliver accurate, relevant, and personalized results for users.
• Collaborate closely with product managers, scientists, engineers, and designers to clarify requirements, provide feedback, and share data stories through presentations.