ML Engineer

You will work on model architecture, distributed training, inference optimization, and evaluation systems that power Tenzin and the broader Octave-X platform. The role bridges applied ML engineering and production reliability for regulated and high-trust environments.

Chicago, IL or Remote (US) Full-time $180,000 - $260,000 USD + equity

Team

Location

Chicago, IL or Remote (US)

Compensation

$180,000 - $260,000 USD + equity

Design and train formally verified AI systems for enterprise workloads.

• Build and optimize large-scale training and inference pipelines.
• Ship evaluation suites for safety, reliability, and model quality.
• Partner with product and infra teams to product ionize new capabilities.
• Improve observability for model behavior and drift detection.
• Contribute to secure, testable, and maintainable ML infrastructure.

• 3+ years of machine learning engineering experience in production environments.
• Strong Python skills with deep experience in PyTorch and/or JAX.
• Hands-on experience with distributed training and model serving.
• Practical knowledge of transformer architectures and evaluation workflows.
• Strong communication skills and ownership mindset.

• Formal methods, verification, or type-systems experience.
• Experience in regulated domains such as healthcare, finance, or public sector.
• Experience with GPU performance tuning and cost optimization.