Machine Learning Technical Lead – Artificial Intelligence, AI

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🔥 29 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $190k - $225k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 0%

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Tech Jobs

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2 - 10 employees

🎯 Recruiter

Recruitment

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

• Own end-to-end ML system execution, including data pipelines, training workflows, evaluation systems, inference architecture, and deployment • Fine-tune and adapt models using LoRA, QLoRA, SFT, DPO, and distillation • Architect and operate scalable inference systems while balancing latency, cost, and reliability • Design and maintain data systems for synthetic and real-world training data • Implement evaluation pipelines covering performance, robustness, safety, and bias • 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 • Detect, debug, and resolve production issues while minimizing user impact • Support team alignment and delivery of high-impact ML work

🎯 Requirements

• Experience building or shipping real Machine Learning 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 • Self-directed, pragmatic, and takes full ownership of outcomes • Clear communication and effective collaboration in small, high-trust teams • Experience with GPU-based training and inference systems • Experience with JAX, Python, and PyTorch

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • Savings Plan Options • PTO

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