Technical Project Manager, Machine Learning

Company Summary

Lila Sciences is a privately held, early-stage technology company pioneering the application of artificial intelligence to transform every aspect of the scientific method. Lila is backed by Flagship Pioneering, which brings the courage, long-term vision, and resources needed to realize unreasonable results. Join our mission-driven team and contribute to the future of science.

Our Life Sciences effort is leveraging AI and high-throughput automation for valuable therapeutic discovery and development across biological modalities.

At Lila, we are uniquely cross-functional and collaborative. We are actively reimagining the way teams work together and communicate. Therefore, we seek individuals with an inclusive mindset and a diversity of thought. Our teams thrive in unstructured and creative environments. All voices are heard because we know that experience comes in many forms, skills are transferable, and passion goes a long way.

If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, please apply.

The Role:

Lila Sciences is seeking an experienced and detail-oriented Technical Project Manager to join our innovative team. This role is critical in overseeing the effectiveness and reliability of our machine learning (ML) technology stack and ensuring the data generated aligns with our training objectives. You will work closely with cross-functional teams to guide projects from conception through implementation, optimizing our ML initiatives.

Key Responsibilities:

• Project Leadership: Lead and manage ML projects, ensuring the tech stack's stability, compatibility, and performance meet the organization's strategic goals.
• Data Management: Oversee data processes, focusing on the quality and relevance of data collected for training purposes, helping to drive model accuracy and efficiency.
• Stakeholder Engagement: Collaborate with data scientists, engineers, and other stakeholders to align project requirements with business needs and technical capabilities.
• Operational Excellence: Implement best practices for ML pipelines and data workflows, continually seeking improvements to enhance efficiency and reduce resource demands.
• Risk Management: Identify potential challenges within projects and implement proactive measures to mitigate risks, maintaining project timelines and budgets.
• Reporting and Documentation: Develop detailed project plans, status reports, and documentation, ensuring transparency and communication across teams and with executive leadership.
• Continuous Improvement: Stay abreast of emerging trends and advancements in ML technology, recommending upgrades or modifications to the tech stack as necessary to maintain competitive advantage.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, with a strong focus on AI/ML technologies.
• Demonstrated experience in project management within a technology or AI/ML-focused environment.
• Familiarity with ML frameworks and data management tools, with a track record of optimizing technology stacks to support training data efficacy.
• Strong analytical and problem-solving skills, coupled with the ability to translate complex requirements into actionable project plans.
• Excellent organizational and communication skills, with the ability to interact effectively with both technical and non-technical stakeholders.
• Experience in managing cross-functional teams and driving projects to successful completion on time and within scope.

Preferred Qualifications: 

• A proactive leader who can navigate complex technical environments and drive continuous improvement in ML technologies.
• Skilled in managing both technical and operational aspects of projects, ensuring alignment with business objectives.
• Enthusiastic about technology advancements and ready to implement innovative practices that enhance project deliverables.

Working at Lila, you would have access to advanced technology in the areas of:

• AI experimental design and simulation
• Automated custom instrumentation
• Generative molecular and material design

More About Flagship Pioneering

Flagship Pioneering is a biotechnology 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.