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Senior Machine Learning Scientist - Cambridge Massachusetts
Company: Flagship Pioneering
Location: Cambridge, Massachusetts
Posted On: 05/05/2025
FL100, Inc. is a privately held, early-stage company pioneering the use of artificial intelligence-based agents to build an integrated, end-to-end platform for AI-driven product innovation. FL100 has created intelligent and reliable AI agent-powered workflows for emergent product innovation. Emergent product innovation leads to new products with breakthrough market adoption that generate new sources of value by solving for large unmet consumer needs and creating demand that did not exist previously.We're leveraging multi-agent systems to accelerate growth, speed up product design innovation, and automate e-commerce operations. Our vision is to create a multi-platform service that empowers anyone to build and operate an e-commerce business efficiently. Currently, we offer a Shopify app that demonstrates our capabilities, with plans to expand across various e-commerce platforms and online marketplaces.FL100 is backed by Flagship Pioneering, an innovation enterprise that conceives, creates, resources, and builds companies that invent breakthrough technologies to transform health care, agriculture, and sustainability. Flagship has created over 100 groundbreaking companies since 2000, including Moderna.The RoleWe're seeking a Senior Machine Learning Research Scientist to drive the development of cutting-edge AI models powering our multi-agent e-commerce automation platform. In this role, you will lead fundamental research in large-scale machine learning, focusing on training and deploying LLMs to optimize small business operations, product launches, and supply chain automation. You will collaborate with a world-class product and engineering team to translate research into impactful AI-driven solutions.Key Responsibilities - Lead cutting-edge research in machine learning and AI for multi-agent systems, with a focus on e-commerce automation.
- Develop and train foundational models tailored for small business operations, including product launches, consumer research, and B2B sourcing.
- Collaborate with product and engineering teams to identify and implement high-impact ML innovations.
- Design and conduct model benchmarks to evaluate model performance, iterating based on findings.
- Utilize proprietary consumer and product data to train models that provide actionable insights and automation capabilities.
- Mentor and guide junior researchers and engineers in best practices for machine learning research and implementation.Qualifications
- Ph.D. or equivalent experience in Machine Learning, Computer Science, or a related field.
- 5+ years of industry research experience in machine learning or AI.
- Strong track record of research contributions, demonstrated through publications in top AI/ML conferences (e.g., NeurIPS, ICML, CVPR, ACL).
- Expertise in large language models (LLMs), including training, fine-tuning, and deploying transformer-based architectures.
- Experience working with large-scale datasets and training models with billions of parameters on distributed computing infrastructure.
- Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or JAX.
- Hands-on experience with large distributed training jobs using frameworks such as DeepSpeed or FSDP.
- Strong problem-solving skills and ability to translate research into real-world applications.
- Excellent written and verbal communication skills, with the ability to present technical concepts to diverse audiences.Preferred Qualifications
- Experience in AI-driven automation for e-commerce, supply chain optimization, or related fields.
- Prior experience in developing AI-powered agent-based systems.
- Exposure to startup environments and a willingness to work in a fast-paced, dynamic setting.
- Background in applied ML research within an industry setting.Values and Behaviors
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