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Senior Machine Learning Engineer (Generative AI)

**Weekly Hours:** 40

**Role Number:** 200641912-0836

**Summary**

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.

**Description**

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.

**Minimum Qualifications**

+ 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

**Preferred Qualifications**

+ 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


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