Senior Backend Engineer for ML Experiment Platform (Equity)

Aimlroles; California; On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Equity

Bonus

Benefits package

Career growth opportunities

Job summary

Shield AI is seeking a Senior Software Engineer to build backend services that power its machine-learning workflows. You will connect training runs to their data, code and configurations, manage model artifacts, and help ML engineers avoid reconstructing experiments.

You will deliver scalable APIs and adapters, ensure reliable state handling, and enable easy retrieval of checkpoints and evaluation results for ongoing training, evaluation or deployment.

Qualifications

• Experience building production backend services for machine-learning platforms or data-intensive workflows.
• Strong software engineering skills in Python or a comparable backend language.
• Experience designing APIs, metadata models and persistent state for services used by other engineers.
• Experience handling storage, partial failures, retries and consistency in distributed systems.
• Understanding of training runs, checkpoints and model versioning.
• Ability to work directly with machine-learning users and deliver maintainable software that solves their workflow problems.

Responsibilities

• Build experiment-tracking and model-registry services, integrating tools such as MLflow where appropriate.
• Connect exact dataset, code and configuration versions to training runs, checkpoints and model versions.
• Develop APIs and adapters that connect training jobs, data services and artifact storage.
• Make interrupted or failed workflows recoverable through reliable state handling, retries and useful diagnostics.
• Make checkpoints, model artifacts and evaluation results easy to find and retrieve for further training, evaluation or deployment.
• Work directly with machine-learning engineers to simplify their workflows and reduce manual record keeping.
• Deliver tested services with observability and compatible upgrades across supported cloud and customer-managed environments.

Skills

Backend development

Python

APIs design

Distributed systems

ML workflow tooling

Model versioning

Tools

MLflow

Weights & Biases

Kubernetes

Model registries

Job description

Shield AI is seeking a Senior Software Engineer to build backend services that power its machine-learning workflows. You will connect training runs to their data, code and configurations, manage model artifacts, and help ML engineers avoid reconstructing experiments.

You will deliver scalable APIs and adapters, ensure reliable state handling, and enable easy retrieval of checkpoints and evaluation results for ongoing training, evaluation or deployment.