Senior Machine Learning Engineer – Digital Intelligence

What you'll do

• Research and prototype architectures and pre-training objectives for structured, unstructured, and financial event data.
• Implement research in production-quality code and optimize training throughput for large data sources.
• Mentor engineers and collaborate across teams to design deployable product solutions.

What they ask for

• PhD with 2+ years or Master’s degree with 4+ years in Computer Science, with training and work experience in Machine Learning, LLM/NLP or similar fields.
• Deep LLM and Transformer expertise, including attention mechanisms, positional encodings such as RoPE, and multimodal inputs.
• PyTorch proficiency at scale, including distributed training with FSDP and DeepSpeed and practical memory optimization.
• Foundation-model pre-training from scratch, token and vocabulary design for heterogeneous data, strong software engineering skills, and prior experience with financial data and recommendation systems.

Nice to have

• Publication record at top AI/ML venues.
• Experience optimizing serving infrastructure, post-training LLMs, network optimization, interpretability or steering, large-scale compute, or shipping real-world products.

Pay

$171,000.00-$260,000.00 USD base salary

Tools

LLM, Transformer, RoPE, PyTorch, FSDP, DeepSpeed

AI focus

Develops and optimizes LLMs and other machine learning models, including pre-training, multimodal and heterogeneous-data modeling, post-training, interpretability, and production deployment.