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Flagship Pioneering

Senior Machine Learning Scientist

Job Posted 22 Days Ago Posted 22 Days Ago
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Cambridge, MA
Senior level
Cambridge, MA
Senior level
Lead research and development of AI models for e-commerce automation, focusing on large-scale machine learning and collaboration with product teams.
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The Company

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 marketplace.

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 Role We’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

  • Constant Learner: Proactively explores emerging AI/ML research and incorporates the latest advances.
  • Customer-Obsessed: Designs solutions that add measurable value to users and solve real-world problems.
  • Mission-Oriented: Dedicated to driving breakthroughs in AI for e-commerce and product innovation.
  • Entrepreneurial Spirit: Comfortable experimenting with new methods, embracing ambiguity, and iterating quickly.
  • Works with Velocity & Urgency: Moves swiftly while maintaining attention to detail and quality.
  • Collaborative: Communicates effectively with cross-functional teams, fostering a positive environment.
  • Accountable: Takes ownership of projects and commits to delivering measurable outcomes.
  • Growth Mindset: Welcomes feedback, iterates on ideas, and pushes for continual improvement.
  • Innovative: Looks for opportunities to apply novel approaches and technologies.

More About Flagship Pioneering

Flagship Pioneering is a bioplatform innovation company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in more than $90 billion in aggregate value. Many of the companies Flagship has founded have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture.  Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies, and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com.

Flagship Pioneering and our ecosystem companies are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background.

Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.

Top Skills

Deepspeed
Fsdp
Jax
Python
PyTorch
TensorFlow
HQ

Flagship Pioneering Cambridge, Massachusetts, USA Office

55 Cambridge Parkway, Suite 800E, Cambridge, MA, United States, 02142

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