Senior Machine Learning Engineer (Generative AI)

About the role

In this role, you'll work alongside world-class engineers and scientists to develop innovative AI/ML solutions that enhance user experiences. The ideal candidate takes initiative, demonstrates ownership from concept to production, is not afraid to dive deep into data, and is hands-on in building robust, real-world solutions. They thrive in a fast-paced environment and bring resilience and curiosity to continually improve in pursuit of excellence.

Requirements

• Masters or PhD degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields.
• Experience shipping a complex AI system, including research and leveraging generative AI models
• Excellent written and oral communication skills
• 5+ years of experience in building large-scale machine learning systems
• 2+ years of experience in one or more of the following ML areas: generative AI models (e.g. Transformers, LLMs, VLMs, MLLMs), computer vision or knowledge graph
• Experience working with large-scale and real-world datasets
• Metrics-driven and passionate about delivering models that produce high-quality, user-facing results
• Strong programming skills and hands-on experience with machine learning tools and libraries such as PyTorch, TensorFlow, Scikit-learn
• Strong knowledge of Spark or other related big data technologies
• Familiarity with cloud platforms such as AWS, GCP, or Azure
• Pay & Benefits
• Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Additional Information

We are looking for a Machine Learning Engineer or scientist who will be converting abstract, high-level goals into concrete, measurable requirements. They will be proposing, implementing, evaluating, and shipping different AI/ML technologies to improve data quality or deliver user facing features. This role will be collaborating with various partners, including engineering orgs and designers to architect the best overall system.

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Company Intel

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