About the company
Why We Built Lyric: Supply chains are more critical and complex than ever. Every day, large enterprises navigate trillions of possible decisions that could impact the bottom line. Powerful algorithms and AI can address these problems, yet most organizations struggle to leverage supply chain AI at scale - the current SCM technologies are either rigid, limited scope point solutions or require building custom solutions in-house, which demand immense expertise and investment.
That is—until now.
Enter Lyric: Lyric is an enterprise AI platform built specifically for supply chains, offering the best of both worlds:
Out-of-the-box AI solutions for optimizing networks, allocating inventory, scheduling routes, planning fulfillment capacity, promising orders, propagating demand, building predictions, analyzing scenarios, and more, plus
A platform-first approach that empowers both business and technical users with end-to-end composability—leveraging no-code tools, their own code, or even forking our code to build and refine decision intelligence
With Lyric, enterprises no longer have to choose between flexibility and speed—they get both.
The Mission: We’re building a new era in supply chain with the team best equipped to lead it. With over 20 years at the intersection of supply chain and algorithms, we developed a deep conviction that global supply chains needed something like Lyric. Since our inception in December 2021, that conviction has been validated time and time again.
Today, a growing number of Fortune 500 companies—including Smurfit WestRock, Estée Lauder, Coca-Cola, Nike, and more—are innovating on their own terms with Lyric.
We can’t wait to see what our customers—both current and future—are empowered to build with us next. Come build with us.
Position Overview:
We are seeking a Lead ML Engineer for Gen AI to drive our Generative AI initiatives. This is a strategic and highly technical role responsible for evaluating, designing, and implementing practical Gen AI solutions that will empower our internal teams and external clients. You will focus on building scalable Gen AI systems, such as a Data Copilot for Analysts and Scientists, and play a key role in shaping our Gen AI technology roadmap and architecture.
Key Responsibilities:
Model Evaluation and Selection:
Evaluate various generative AI models, including LLMs and foundational models, based on performance, scalability, and alignment with business needs.
Conduct experiments to benchmark model performance, accuracy, and reliability in real-world applications.
System Architecture and Design:
Architect Gen AI systems, ensuring they are scalable, secure, and capable of handling complex, data-intensive tasks.
Design and implement solutions such as Data Copilots for Analysts/Scientists to enhance data-driven insights and decision-making capabilities.
Gen AI Development and Integration:
Lead the development of AI-driven applications and integrate them into Lyric's existing platforms and tools.
Work closely with data science, engineering, and product teams to build and deploy AI solutions that are both innovative and practical.
Technology Roadmap and Strategy:
Define and implement a technical roadmap for Gen AI at Lyric, keeping pace with industry trends and technological advancements.
Make informed technology and infrastructure choices to support Lyric’s long-term Gen AI goals, from model deployment to scalability strategies.
Team Collaboration and Mentorship:
Collaborate with cross-functional teams, including data scientists, engineers, and product managers, to translate complex requirements into actionable Gen AI solutions.
Mentor and guide junior engineers and AI practitioners on best practices in generative AI development and deployment.
Industry Research and Thought Leadership:
Stay up-to-date with the latest developments in Gen AI, and provide insights on emerging tools, techniques, and best practices.
Contribute to Lyric's thought leadership in Gen AI through publications, presentations, and participation in industry events.
Qualifications:
Experience:
7+ years in AI/ML roles, with at least 3 years focused on Gen AI or NLP model evaluation and implementation.
Proven experience as an AI architect or technical lead in deploying scalable AI solutions.
Technical Skills:
Deep knowledge of generative AI models (LLMs, GANs, VAEs, etc.) and model architectures.
Proficiency in Python, TensorFlow, PyTorch, and other AI/ML frameworks.
Hands-on experience with model tuning, fine-tuning, prompt engineering, and performance optimization.
Domain Knowledge:
Strong understanding of data analytics, BI, and data-driven decision-making processes.
Familiarity with MLOps practices and model lifecycle management in production environments.
