Machine Learning Engineer

The Mission:

As an Machine Learning Engineer, you will be responsible for building machine learning models/systems and innovative web applications that deliver the power of Generative AI to our customers. You will work closely with designers, product managers and other engineers driving the technical designs and implementations.

Core Responsibilities:

We are looking for strong Machine Learning engineers across multiple levels to join our team and help us build innovative Generative AI solutions that deliver the power of Generative AI to our customers. You will be responsible for:

• Define the roadmap for generation of various content types including text, image, audio and video enabling us to generate brand-affinitized, hyper-personalized, and safe content
• Own the delivery of key business, product and technology initiatives across design, specification, development, testing, and launch.
• Establish and implement processes for model training, fine-tuning, testing, and operating the Generative AI models at significant scale.
• Investigate, prototype and deliver innovative solutions
• Collaborate with other engineers, Product and Business Teams to identify new ways to improve our product and drive growth
• Establish a data-driven development culture by driving the definition, tracking, and operationalizing of feature, product, and company-level metrics

Minimum Qualifications:

• Master’s or PhD degree in Computer Science or a related field
• Experience with building and evolving ML Training and Inferencing systems at significant scale with a purpose of solving real-world problems.
• 2+ years of prior experience designing, building and scaling systems for training, testing, and running Machine Learning models at scale
• Have a track records of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects
• Proficiency in Python, C/C++ (or equivalent)
• Ability to create self-contained, reusable, and testable modules and passionate about prototyping

Preferred Qualifications:

• Prior experience with AzureML, GCP Vertex, AWS Sagemaker or similar platforms
• Hands-on experience in deploying and tuning Generative AI models in cloud or on local system is a plus
• Experience working at a high-growth startup or tech company
• Publications and research experiences in ML venues and/or vision/language applications are a plus