Lead Engineer, Machine Learning (India)

Our Ai/ML engineering team ensures Code and Theory delivers innovative, immersive web experiences that delight our clients and their customers. We are always striving to balance the demanding nature of working on cutting-edge technologies with the real-world demands of high performance, high security, and accessibility. Working in collaboration with our multi-disciplinary engineering, design, and quality assurance teams, you will build software that solves real-world problems for incredible clients. 

We seek a highly skilled and experienced Lead Machine Learning Engineer with a PhD and extensive expertise in large language models (LLMs), multi-agent systems, and flow engineering. The ideal candidate will not only have a strong technical background but also the drive to mentor and educate our machine learning team and advocate for the adoption of new and emerging technologies. As a Lead Machine Learning Engineer at Code and Theory, you’ll be in a high-visibility role, working with all sorts of clients both internally and externally to deliver scalable, precise, and – most importantly – interesting machine learning solutions. Our work stretches from audience segmentation to dynamic content generation, from spell-checking to large language modeling and beyond.

WHAT YOU’LL DO:

• You will be a technical leader who drives innovation, builds strong relationships, and ensures the successful development and deployment of LLMs.
• Collaborate with other teams and stakeholders to integrate our LLMs into various applications and workflows, providing technical guidance and support as needed.
• Develop and execute comprehensive testing strategies to ensure the performance and effectiveness of our LLMs in various applications and workflows.
• Design and develop novel LLM architectures that meet specific business requirements or identify opportunities for improvement in existing models. 
• Explore new techniques, algorithms, and tools to stay ahead of the curve.
• Identify and curate high-quality datasets that align with business objectives and are suitable for training, validating, and testing LLMs.
• Explore alternative data sources, create synthetic data, and develop custom data generation techniques.

WHAT YOU’LL NEED:

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Proven experience in developing and deploying large language models (LLMs) and a deep understanding of their architectures and applications.
• Strong background in multi-agent systems, flow engineering, and related AI technologies.
• Demonstrated ability to lead and mentor a team of machine learning engineers and data scientists.
• Excellent communication and presentation skills, with the ability to articulate complex concepts clearly.
• Professional experience developing Python libraries for machine-learning applications. Strong background in Pytorch, HuggingFace, and other ML libraries.
• Strong problem-solving skills and the ability to think critically and creatively.
• A track record of published research in reputable journals or conferences is a plus.

ABOUT US

Born in 2001, Code and Theory is a digital-first creative agency that sits at the center of creativity and technology. We pride ourselves on not only solving consumer and business problems, but also helping to establish new capabilities for our clients. With a global client roster of Fortune 100s and start-ups alike, we crave the hardest problems to solve. With a remote-first approach to our people, we have teams distributed across North America, South America, Europe, and Asia. The Code and Theory global network of agencies is growing and includes Kettle, Instrument, Left Field Labs, Mediacurrent, Rhythm, and TrueLogic.

Striving never to be pigeonholed, we work across every major category: from tech to CPG, financial services to travel & hospitality, government and education to media and publishing. We value the collaboration with our client partners, including but not limited to Adidas, Amazon, Con Edison, Diageo, EY, J.P. Morgan Chase, Lenovo, Marriott, Mars, Microsoft, Thomson Reuters, and TikTok.

The Code and Theory network comprises nearly 2,000 people with 50% engineers and 50% creative talent. We’re always on the lookout for smart, driven, and forward-thinking people to join our team.