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Staff Applied Learning Scientist

Redwood City, CA (Hybrid)

Learning Commons aims to scale proven teaching and learning practices to benefit every learner by building AI infrastructure that better connects the way students learn to the tools they learn with.

The Team

At Learning Commons, we operate at the intersection of technology, research, and philanthropy. We pair product development with grantmaking to scale proven teaching and learning practices for the benefit of every learner. We aim to bring learning science into the tools educators and students use every day.

Our work is grounded in a deep belief: when technology reflects the realities of classrooms and the science of how students learn, it can meaningfully strengthen teaching and unlock new possibilities for students. The rise of generative AI offers us a once-in-a-generation opportunity to dramatically accelerate the translation of research insights into practical, classroom-ready tools; tools that honor teachers’ expertise, adapt to students’ needs, and make effective learning practices easier to access, implement, and sustain.

In today’s fragmented edtech landscape, school districts are often left piecing together products that don’t always align with curricula or instructional needs. While AI holds enormous potential to support teachers and students, it can only deliver on that promise when grounded in research, high-quality educational data, and expert evaluation. That’s why we’re building open, public-purpose infrastructure — datasets, rubrics, and resources — that help raise the standard for educational tools and create more consistent, impactful learning experiences for all students and teachers.

The Opportunity

We are seeking an Applied Learning Scientist to support our team in translating learning science research into educational products and partnerships. This position offers the opportunity to contribute to initiatives that inform our product development strategy and support pedagogical innovation. You'll work on diverse projects and assignments while building your expertise in applied learning science within the educational technology space.

What You'll Do

  • Develop plans for and executes complex learning science work involving independent judgment and analysis while developing professional expertise in evidence-based learning practices
  • Advise on development of workstreams, initiatives or systems that impact varied components, processes and outcomes of the Learning ScienceGuide 
  • Advises on management of multiple programs and partnerships across one or more disciplines of Learning Science; applies advanced pedagogical knowledge to evaluate programs and partnerships for viability, scalability and impact
  • Evaluates learning science, feasibility, market and other inputs to make recommendations and inform product roadmaps and strategy
  • Contribute to development of project roadmaps while ensuring best pedagogical practices are integrated
  • Manages relationships and complex initiatives with multiple learning science partners
  • Evaluates complex applications of learning science principles and impact of program or project on learning outcomes; may present externally and internally
  • Develops pedagogical insights and provides feedback to cross-functional teams during development

What You'll Bring

  • Demonstrated experience in all areas of the Applied Learning Science function with in-depth specialization in some areas
  • Substantial understanding of evidence-based learning practices and principles
  • Proven experience advising and guiding development and improvement of programs and products with multiple stakeholders
  • Strong communication and presentation skills with the ability to effectively reach audiences with a range of experiences and understanding
  • Ability to work as a team consultant with skills in inclusively soliciting input to build momentum for decisions and establishing relationships across teams
  • Independent approach to recommending solutions for new assignments where projects regularly require new methods and approaches
  • Experience building relationships with diverse researchers, external agencies, nonprofits, programs and service providers to build support for evidence-based learning initiatives

Compensation

The Redwood City, CA base pay range for this role is $153,000 - $210,100. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. 

Work Mode

As we grow, we’re excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team’s manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process.

Benefits for the Whole You 

We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. 

  • Provides a generous employer match on employee 401(k) contributions to support planning for the future.
  • Annual benefit for employees that can be used most meaningfully for them and their families, such as housing, student loan repayment, childcare, commuter costs, or other life needs.
  • Life of Service Gifts are awarded to employees to “live the mission” and support the causes closest to them.
  • Paid time off to volunteer at an organization of your choice. 
  • Funding for select family-forming benefits. 
  • Relocation support for employees who need assistance moving to the Bay Area

If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.

#LI-Hybrid

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Reasonable Accommodation Notice
The organization provides (and state and federal law requires) reasonable accommodations to be provided to qualified applicants with disabilities. Your recruiter will work with you during the interview process should you require any such accommodations. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

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As set forth in the organization’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

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