Staff Machine Learning Engineer

As a Staff Machine Learning Engineer, you will influence technical direction, bridge research and production, and drive technical excellence. Youll lead complex projects, mentor engineers, and build scalable models and systems. Reporting to the Manager of Machine Learning Engineering, your responsibilities will include:

• Designing and deploying scalable, reliable, and efficient production-grade Gen AI/ML systems from data ingestion to monitoring
• Driving the innovation by researching and evaluating emerging AI/ML frameworks, rapidly prototyping novel solutions to validate their feasibility and championing full-scale implementation
• Implementing and maintaining robust MLOps practices, including logging, monitoring, and CI/CD pipelines for distributed ML systems
• Leading and mentoring junior engineers in system design best practices and promoting technical excellence
• Collaborating with cross-functional teams to translate business needs into technical solutions

What Were Looking for (Minimum Qualifications)

• 5+ years of experience as an MLE, with a track record of shipping complex, scalable ML systems to production
• Proven experience building Gen AI/ML systems with LLMs, fine-tuning them, using Retrieval-Augmented Generation (RAG) and Agentic AI, and deploying in production
• Proven experience designing and implementing distributed ML systems with deep knowledge of MLOps (monitoring, logging, ops)
• Strong CS foundation (data structures, algorithms, system design) with expertise in Python (scikit-learn, PyTorch/TensorFlow) and SQL for feature engineering, model evaluation, and error analysis
• Excellent communication and interpersonal skills

What Will Make You Stand Out (Preferred Qualifications)

• Expertise with cloud services (AWS, GCP, Azure) and ML platforms (Kubeflow, SageMaker)
• Proficiency in systems programming languages like Go or Rust, with a deep understanding of distributed systems, OS, and networking fundamentals
• A record of research, publications, or patents in AI/ML