ML Researcher

Highlights

• Build NEXUS, the world's most powerful Large Tabular Model.
• Design and evaluate breakthrough ML models deployed in real-world enterprise use.
• Tackle unprecedented challenges in foundation model development at scale.

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 to join an office location

Ideal candidate

You are a research-driven ML builder who thrives owning the full model lifecycle from idea to real-world impact. You combine solid engineering craft with curiosity for tabular and foundation models and a low-ego, action-oriented mindset.

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 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 large-scale foundation models