Staff Software Engineer – ML Applications/Remote

Job Title: Staff Software Engineer – ML Applications

Location: Remote

Experience: 8–12 years

Job Summary

We are looking for a Staff Software Engineer to lead the design and development of machine learning–powered applications. This role blends strong software engineering fundamentals with applied machine learning, focusing on building scalable, production-grade ML systems. You will set technical direction, drive architectural decisions, and mentor engineers across teams.

Key Responsibilities

• Design and build scalable ML-driven applications and services
• Lead architecture for ML systems, including model serving, data pipelines, and APIs
• Collaborate with data scientists to productionize ML models
• Define best practices for ML engineering, deployment, and monitoring
• Ensure reliability, scalability, and performance of ML systems in production
• Drive technical strategy and influence engineering roadmaps
• Review code, mentor engineers, and elevate team standards
• Work cross-functionally with product, data, and platform teams

Required Skills & Qualifications

• Strong programming experience in Python (or similar languages)
• Deep understanding of software engineering principles and system design
• Hands-on experience building and deploying ML models in production
• Experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
• Knowledge of data pipelines and distributed systems
• Experience with REST APIs, microservices, and backend development
• Familiarity with cloud platforms (AWS, Google Cloud Platform, or Azure)
• Strong understanding of databases and data storage systems

Preferred Qualifications

• Experience with MLOps tools (e.g., MLflow, Kubeflow, Airflow)
• Knowledge of real-time inference and batch processing systems
• Familiarity with big data technologies (Spark, Kafka, Hadoop)
• Experience with containerization (Docker, Kubernetes)
• Background in applied AI domains (NLP, computer vision, recommendation systems)

Leadership & Impact

• Set technical direction for ML application development
• Mentor senior and mid-level engineers
• Influence cross-team architecture and engineering practices
• Drive adoption of best practices in ML lifecycle management

Soft Skills

• Strong leadership and decision-making ability
• Excellent communication and stakeholder management
• Ability to operate in ambiguity and drive outcomes

Nice to Have

• Experience scaling ML systems to high-traffic production environments
• Contributions to research, patents, or open-source ML projects