Principal Machine Learning Engineer, Artificial Intelligence – Remote

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🔥 2 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $170k - $200k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

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Tech Jobs (Gina's Tech Jobs) is an IT recruiting and technical staffing firm that connects employers with IT professionals and helps job seekers find technology roles. With 30+ years of experience and a national (U. S. ) plus international (Canada, England) presence, they place candidates across all levels—executive, senior, mid, junior—and specialties including software engineering, network and systems engineering, cloud, data, cybersecurity, quantitative roles, and security-cleared positions. They serve employers in industries such as finance/trading, healthcare (HIT), government, manufacturing, and insurance, and offer services for permanent placements and contract/contractor roles.

📋 Description

• Architect and build large-scale ML systems spanning data, training, evaluation, inference, and deployment • Design reproducible, high-performance training pipelines across GPU infrastructure • Architect inference systems balancing latency, throughput, cost, and reliability at scale • 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 with application engineering to integrate ML systems into backend, mobile, and desktop products • Make pragmatic trade-offs and ship improvements quickly, learning from real usage • Work under production constraints involving latency, cost, reliability, and safety • Proactively monitor, debug, and resolve production issues with clear root-cause analysis • Provide guidance, best practices, and scalable ML solutions to teams and cross-functional collaborators • Improve research-to-production cycles and product experience

🎯 Requirements

• Strong background in deep learning and transformer-based architectures • Artificial Intelligence (AI) experience required • Hands-on experience training, fine-tuning, or deploying large-scale ML models in production • Proficiency with at least one modern ML framework, such as PyTorch or JAX • Ability to learn other ML frameworks quickly • Experience with distributed training and inference frameworks such as DeepSpeed, FSDP, Megatron, ZeRO, or Ray • Strong software engineering fundamentals • Ability to write robust, maintainable, production-grade systems • Experience with GPU optimization, including memory efficiency, quantization, and mixed precision • Comfort owning ambiguous, zero-to-one ML systems end-to-end • Experience with LLM inference frameworks such as vLLM, TensorRT-LLM, or FasterTransformer • Contributions to open-source ML or systems libraries • Background in scientific computing, compilers, or GPU kernels • Experience with RLHF pipelines, including PPO, DPO, or ORPO • Experience training or deploying multimodal or diffusion models • Experience with large-scale data processing, including Apache Arrow, Spark, or Ray

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • Savings Plan Options • PTO • Remote work / work from home

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