Staff Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home - G

Dice is seeking a Staff Machine Learning Engineer to own the execution layer of intelligence. This remote role involves translating research into production-grade Machine Learning systems, ensuring models are trainable, deployable, and performant under real-world constraints.

Responsibilities:

• Own end-to-end Machine Learning (ML) system execution: data pipelines, training workflows, evaluation systems, inference architecture, and deployment
• Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation
• Architect and operate scalable inference systems, balancing latency, cost, and reliability
• Design and maintain data systems for high-quality synthetic and real-world training data
• Implement evaluation pipelines covering performance, robustness, safety, and bias, in partnership with research leadership
• Own production deployment, including GPU optimization, memory efficiency, latency reduction, and scaling policies
• Collaborate closely with application engineering to integrate Machine Learning (ML) systems cleanly into backend, mobile, and desktop products
• Make pragmatic trade-offs and ship improvements quickly, learning from real usage
• Work under real production constraints: latency, cost, reliability, and safety

Requirements:

• Experience building or shipping real Machine Learning (ML) systems used by people, not just demos
• Artificial Intelligence (AI) experience required
• Experience working with large models and understanding their failure modes
• Experience writing strong, production-grade code
• You are self-directed, pragmatic, and take full ownership of outcomes
• Experience communicating clearly and collaborate well in small, high-trust teams
• Tech Stack: GPU-based training and inference system, JAX, Python, and PyTorch