Staff Machine Learning Engineer, Artificial Intelligence, AI

Job not on LinkedIn

🕒 Yesterday

🏄 California – Remote

🏄 California – Remote

💵 $150k - $170k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

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TTEC

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1984

🤝 B2B

💰 Post-IPO Debt on 2021-11

B2B • Customer Experience • AI

TTEC is a global customer experience technology and services company that specializes in Customer Experience (CX) strategy, contact center operations, and AI-enhanced services. Serving brands across diverse industries, TTEC employs a unique blend of human talent and AI technology to optimize customer interactions and drive satisfaction. With over 54,000 employees across 80+ contact centers, TTEC provides tailored solutions that enhance customer journeys, improve operational efficiency, and foster long-term loyalty.

📋 Description

• 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.

🏖️ Benefits

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