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.

WHAT YOU'LL DO

• Drive innovation as a technical leader, build strong relationships and ensure 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, Langchain/LlamaIndex 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. 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, Create Group, Current, 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 is comprised of 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.

We seek a highly skilled and experienced Senior Machine Learning Engineer with extensive expertise in multimodal generative AI models, cross-modal architectures, and multimodal fusion techniques. The ideal candidate will not only have a strong technical background spanning text, vision, audio, and video modalities, but also the drive to mentor, educate, and advocate for the adoption of new and emerging technologies.

WHAT YOU'LL NEED

• 5+ years experience in machine learning engineering, with at least 1 year focussed on generative AI or multimodal systems
• Strong hands-on experience with multimodal AI models including text-to-image, image-to-text, or other cross-modal applications
• Deep practical knowledge of either computer vision or NLP, with demonstrated ability to work across modalities
• Proficiency with generative model architectures such as diffusion models, transformer-based generative models, or GANs
• Strong programming skills in Python with extensive experience in PyTorch and HuggingFace ecosystem (Transformers, Diffusers, Accelerate)
• Experience with cloud ML platforms (AWS SageMaker, GCP Vertex AI, Azure ML)
• Proven track record of deploying ML models to production with understanding of model optimization, serving, and monitoring
• Strong problem-solving skills and the ability to think critically and creatively about novel multimodal applications

NICE TO HAVE

• A track record of published research in reputable journals or conferences (NeurIPS, ICML, CVPR, ICCV, etc.)
• Understanding of prompt engineering and guidance techniques for generative models
• Experience with model fine-tuning, LoRA, and efficient adaptation methods

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. 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, Create Group, Current, 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 is comprised of 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.