ML Researcher (remote)

Highlights

• Build NEXUS, the world's most powerful Large Tabular Model for enterprise.
• Own models end-to-end from novel architectures to real-world deployment.
• Tackle foundation-model challenges trusted by Fortune 100 companies.

What they offer

• Competitive compensation with salary and equity
• Comprehensive health coverage for you and your dependents
• Paid parental leave for all new parents
• Relocation support for office moves

Ideal candidate

ML researcher who thrives across the full research-to-deployment cycle and cares about solid engineering enabling rapid experimentation. Low-ego, ownership-driven builder excited to define enterprise AI from the ground up.

Requirements

• Strong familiarity with the full research cycle in Machine Learning
• Strong fundamentals of software engineering
• Strong knowledge of Python and its ML frameworks
• Experience with full lifecycle of AI model development
• Experience with ML infrastructure frameworks and tools
• Experience developing new ML methods, algorithms and models
• Experience with GPUs or TPUs and distributed training
• Experience scaling up models and training regimes
• Knowledge of classical ML methods and algorithms
• Knowledge of deep learning techniques
• Expertise in tabular, time-series, relational, structured or foundation models