About Lyric

Why we built Lyric: supply chains are as critical & complex as ever → every day, large enterprises are faced with trillions of possibilities for their supply chain → powerful algorithms are required to optimize these supply chain decisions (i.e. AI) → large enterprises are unable to leverage supply chain AI at scale due to (a) the rigidity & limited scope of point solutions (“buy”) and (b) the immense investment required to develop in-house (“build”).......until now (cue dramatic music in the background)......

Enter Lyric: an enterprise AI platform for supply chains - when enterprises evaluate whether to buy or build decision-making engines for their supply chains, we provide the best of both worlds thanks to:

1. Our deep catalog of supply chain AI products that are available out-the-box to optimize networks, allocate inventory, schedule routes, plan fulfillment capacity, promise orders, propagate demand, build predictions, analyze scenarios, and much more (buy)

2. Our platform-first approach enables business & technical users end-to-end composability for supply chain decision science with no-code, their code, or even forking our code (build).

At Lyric we’re building a new era in supply chain, with the team best equipped to build it. We’ve been at the intersection of supply chain & algorithms for 20+ years, which led us to a deep conviction that global supply chains needed something like Lyric. We’re proud to say that since our inception in Dec. 2021, this conviction has now been validated many times over. This is thanks to our double-digit number of Fortune 500 Customers (Smurfit WestRock, Estee Lauder, Coca-Cola, Nike, and more) who are innovating on their own terms every day on Lyric. After an incredible 2024, we expect 2025 to be even more of a rocket ship, and we can’t wait to see what our current & future customers are empowered to build with us next.

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:

1. 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.

2. 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.

3. 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.

4. 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.

5. 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.

6. 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.