ML Engineer

September 29

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Description

• Design and develop cloud-based workflows, data pipelines and compute infrastructure for AI workloads • Evaluate cloud computing and AISaaS providers for cost, accuracy and latency trade-offs • Build systems to optimize performance • Compare closed and open-source LLM providers • Develop and evaluate systems with interconnected LLMs • Collaborate with cross-functional teams to integrate solutions • Stay updated on trends in AI, ML and cloud technologies • Ensure compliance with data privacy and security protocols

Requirements

• 5+ years experience designing and operating production systems • Bachelor's or Master's degree in Computer Science, Engineering, or a related field • Experience with NLP/ML data pipelines and workflows • Experience with PostgreSQL, Redis and AWS services • Comfortable with Python, Node.js, and Go • Strong grasp of distributed computing fundamentals • Self-directed and enthusiastic about solving complex problems • Familiarity with prompt programming and large language models • Experience in developing and deploying large-scale AI systems • Experience with ML model lifecycle management tools • Knowledge of advanced ML techniques, including deep learning and reinforcement learning • Contributions to open-source projects or published research in relevant fields

Benefits

• Competitive salary • Equity • Health/dental/vision insurance • Opportunity to develop foundational AI systems