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Director Of Teaching And Learning Jobs in Silver Spring, MD

Jobtailor

Director of Machine Learning

Washington, DC · On-site

$180 - $260/hr

* Lead the Machine Learning Engineering team * Architect robust, scalable applications using sound ... Understanding of full-stack software development, DevSecOps, and AI systems holistically

Socket.dev

Director of Learning & Development

Ashburn, VA · On-site

$120 - $180/hr

Director of Learning & Development About Company: Precision Tune Auto Care began as a small tune up shop in Beaumont, TX in 1976 and has grown to more than 320 service centers operating in six ...

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Director Of Teaching And Learning information

See Silver Spring, MD salary details

$49.1K

$109.7K

$153.5K

How much do director of teaching and learning jobs pay per year?

As of Aug 21, 2026, the average yearly pay for director of teaching and learning in Silver Spring, MD is $109,699.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,900.00 and $131,800.00 per year, depending on experience, location, and employer.

What does a director of teaching and learning do?

As a director of teaching and learning, you are primarily responsible for ensuring that curriculum development meets high standards and that the delivery method is effective. You are also in charge of designing and implementing faculty development programs. In this career, you may work in a college, university, elementary, or secondary school. Your focus as the director of teaching and learning is to observe, assess, and analyze teaching practices. Your duties include working closely with faculty to improve and modify curriculum to stay up-to-date on new research-based methods. Your responsibilities also include being an advocate for change and helping the faculty to become more effective educators.

What does a director of teaching and learning do?

A Director of Teaching and Learning oversees the development, implementation, and evaluation of educational programs and instructional practices within a school or district. They work closely with teachers, administrators, and curriculum specialists to ensure that teaching methods and educational materials meet current standards and support student achievement. This role often involves leading professional development, analyzing academic data, and promoting innovative teaching strategies. Ultimately, the Director of Teaching and Learning ensures that educational goals align with the institution's mission and enhance student learning outcomes.

What are the key skills and qualifications needed to thrive as a director of teaching and learning, and why are they important?

To thrive as a Director of Teaching and Learning, you need expertise in curriculum development, instructional leadership, and educational assessment, typically supported by an advanced degree in education and administrative certification. Familiarity with learning management systems (LMS), data analysis tools, and current educational technologies is crucial. Strong communication, collaborative leadership, and strategic thinking are standout soft skills for this role. These abilities ensure the effective implementation of educational programs, drive instructional improvement, and foster a culture of continuous learning within schools or districts.

What are some common challenges faced by a director of teaching and learning, and how can they be addressed?

Directors of Teaching and Learning often encounter challenges such as aligning curriculum across multiple grade levels, supporting diverse teaching styles, and implementing new instructional technologies. Addressing these requires strong collaboration with teachers, ongoing professional development, and effective communication with school leadership. Building a culture of continuous improvement and fostering open feedback channels can help ensure successful curriculum integration and instructional consistency across departments.

What is the difference between Director Of Teaching And Learning vs Curriculum Coordinator?

AspectDirector Of Teaching And LearningCurriculum Coordinator
CredentialsTypically requires a master's degree in education or related field, with teaching certification and leadership experienceUsually requires a bachelor's or master's degree in education, with teaching experience and curriculum development knowledge
Work EnvironmentWorks in school districts or educational institutions overseeing teaching strategies and staff developmentWorks within schools or districts focusing on curriculum design, implementation, and resource management
Employer & Industry UsageCommonly employed in K-12 education, colleges, and universitiesPrimarily found in K-12 schools and educational organizations

The main difference is that the Director Of Teaching And Learning has broader leadership responsibilities, overseeing teaching quality and staff development, while the Curriculum Coordinator focuses specifically on curriculum planning and implementation. Both roles require educational credentials and experience but differ in scope and strategic influence.

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Director Of Teaching And Learning jobs near you
Infographic showing various Director Of Teaching And Learning job openings in Silver Spring, MD as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $109,699 per year, or $52.7 per hour.

Director of Machine Learning

Virtualitics, Inc

Washington, DC • On-site

Full-time

Posted 11 days ago

Job description

 
Director of Machine Learning Engineering (Secret Cleared, DMV)
 
About Virtualitics:

Virtualitics is a fast-growing, Caltech-born defense tech company (~120 people) dedicated to reversing
the decline in military readiness. Virtualitics builds AI-native readiness intelligence for the US and allied
nations’ defense sector. Virtualitics Iris transforms how defense organizations act on maintenance,
logistics, personnel, and global force management data. Our team is actively refining agentic workflows,
composable AI agents, and generative interfaces to replace static dashboards with dynamic,
conversational intelligence.

What You Will Do:
  • Lead the Machine Learning Engineering team.
  • Provide guidance on how to architect robust, scalable applications using sound engineering
    principles, managing the complete data lifecycle from acquisition to model inference and
    postprocessing.
  • Tackle runtime performance and optimize data access patterns for highly responsive applications.
  • Collaborate across the delivery team (e.g. Product, Customer Success, DevOps, and QA) to align
    engineering deliverables with strategic customer commitments.
  • Tackle key issues across Delivery and Platform teams and flag pain points to help influence the
     roadmap.
  • Set the technical hiring bar and mentor engineers, ensuring teams are well-staffed and capable.
  • Clearly communicate technical progress, risks, and ROI, directly linking AI team output to
    revenue, mission impact both up and down as well as internally and externally.
Core Requirements:
  • Clearance & Location: Must hold at least a U.S. Secret security clearance and be willing to
    upgrade to a TS/SCI if needed. Must be willing to travel to customer locations as needed.
  • Engineering Fundamentals: A degree in Computer Science or related field and 8+ years of
    software engineering experience. We target candidates with a strong background in software
    engineering and production deployment, rather than strictly research-oriented backgrounds.
  • AI & Systems: A proven track record of deploying software into production environments. Has
    shipped production-grade AI / agentic systems.
  • GPU Fluency: Has experience with offloading compute for AI systems to GPUs and is
    comfortable with designing training and inference pipelines.
  • Full Stack & DevSecOps: Understands full stack software development, DevSecOps, and AI
    systems holistically. Familiarity with Docker, Kubernetes, and Git.
  • Data Ecosystem: Proficiency in Python with a solid understanding of the Python Data Stack
    (pandas, NumPy, scikit-learn, PyTorch, Matplotlib, etc.). Experience working with a wide variety of
    data (both structured and unstructured) from different sources.
  • Culture & Values: Embody Virtualitics core values by bringing a positive attitude, fostering a
    highly collaborative environment, and always being ready to "lean in" to tackle complex
    challenges alongside the team.
Preferred Qualifications (Pluses):
 
  • Has built and cultivated a high functioning Machine Learning Engineering team before.
  • Has contributed to building engineering excellence and has top-tier engineering experience.
  • Experience with big data technologies and frameworks (Spark, Databricks, Snowflake, etc.).

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.