ML Engineer: Edge & Cloud Production Systems

Spear AI, Inc.; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Unlimited PTO

Dedicated Sick Time

Comprehensive Health & Benefits

11 Paid Holidays

Professional Development

Collaborative Environment

Mission-Driven Work

Growth Opportunities

401(k) with company match

Relocation assistance

Referral bonuses

Performance bonuses

Life insurance and disability coverage

Technology home office setup stipend

Professional certification reimburse-

Job summary

Spear AI seeks a skilled Machine Learning Engineer to build and deploy production ML systems for a next-generation data management and AI platform. You will join a mission-driven, remote-friendly team working on defense-related projects with direct national security impact.

You’ll design, train, and optimize models using PyTorch, deploy to cloud and edge environments, and build robust ML pipelines while ensuring performance and reliability.

Qualifications

• Several years of experience with Python and machine learning frameworks.
• Expertise in PyTorch for building and training neural networks.
• Experience training and serving models in cloud environments (AWS, Azure, GCP).
• Proficiency with MLOps practices including experiment tracking, model versioning, and deployment.
• Experience with model optimization for production performance and scale.
• Knowledge of Docker and Kubernetes for containerized deployments.
• Familiarity with REST APIs and model serving frameworks.
• Understanding of CI/CD pipelines for ML systems.
• Strong fundamentals in machine learning including model architecture design, training strategies, and evaluation.

Responsibilities

• Design, train, and optimize machine learning models using PyTorch.
• Deploy models to production environments in the cloud and at the edge.
• Build and maintain ML pipelines for training, evaluation, and inference.
• Integrate ML models into real-time and batch processing systems.
• Optimize model performance for accuracy, latency, and resource constraints.
• Implement model monitoring, versioning, and deployment strategies.
• Work with signal processing data and time-series analysis.
• Improve local development and CI/CD for ML workflows using modern tooling and GitHub Actions.

Job description

Spear AI seeks a skilled Machine Learning Engineer to build and deploy production ML systems for a next-generation data management and AI platform. You will join a mission-driven, remote-friendly team working on defense-related projects with direct national security impact.

You’ll design, train, and optimize models using PyTorch, deploy to cloud and edge environments, and build robust ML pipelines while ensuring performance and reliability.