Senior Machine Learning Scientist
Company: Flagship Pioneering
Location: Cambridge
Posted on: April 6, 2025
Job Description:
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
- 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 PioneeringFlagship 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 .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 AgenciesFlagship 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.
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Keywords: Flagship Pioneering, Cambridge , Senior Machine Learning Scientist, Other , Cambridge, Massachusetts
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