Senior/Staff Machine Learning Engineer (Search & Recs)

BioRender, the 'Figma/Canva for scientists', is seeking a Senior/Staff Machine Learning Engineer to join their Search & Recommendation Team. This role is crucial in accelerating the company's ability to return billions of hours to scientists by empowering them with the most relevant content in the core illustrator.

As the first Machine Learning Engineer/Applied Scientist, you will:

• Partner with product, design, and engineering teams to build ML and AI systems
• Focus on areas such as Ranking, Natural Language Processing, Information Retrieval, Graph Learning, and Reinforcement Learning
• Design and execute multi-quarter ML initiatives
• Optimize search engine and recommendation systems
• Prototype, optimize, and productionize ML models
• Evaluate performance of systems and models end-to-end
• Influence the company's ML system and data infrastructure
• Collaborate with cross-functional teams
• Communicate with stakeholders and present data-driven insights

Requirements:

• 6+ years of extensive industry experience as an ML engineer
• Expert knowledge in areas like Information Retrieval, Recommender Systems, Learning-to-Rank, Large Language Models, NLP, Deep Learning, Transfer Learning, Multi-task Learning, Graph Neural Network, or Human-in-the-loop
• Experience with traditional keyword-based search and modern vector-based retrieval algorithms
• Proficiency in deep learning frameworks (PyTorch, TensorFlow)
• Strong data exploration, analysis, and feature engineering skills
• Excellent programming skills in Python, Scala, or Java
• Experience with operationalizing and scaling ML models in cloud ecosystems
• Cross-functional collaboration experience in agile environments

Nice-to-haves:

• Familiarity with state-of-the-art ML/AI research and publication track record
• Experience with Generative AI, Langchain, Transformer models
• End-to-end ML application building experience
• Scientific and research background

This role offers an exciting opportunity to work at the forefront of ML/AI applications in scientific visualization, making a significant impact on how scientists communicate their work. The position combines cutting-edge technology with practical applications in a fast-growing startup environment.