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AI Engineer - job 1 of 2

liETtVLaARqgmMEbYzHNNLIzUPcdfPrwhYtVK7Qa.png Fast Facts

Amplify is seeking an AI Engineer to develop and implement innovative AI solutions for its K-12 educational programs, focusing on enhancing product functionality and efficiency through machine learning and cutting-edge AI technologies.

liETtVLaARqgmMEbYzHNNLIzUPcdfPrwhYtVK7Qa.png Responsibilities: Key responsibilities include developing AI solutions, deploying machine learning models, collaborating with diverse teams, communicating technical concepts, and integrating AI advancements into products.

liETtVLaARqgmMEbYzHNNLIzUPcdfPrwhYtVK7Qa.png Skills: Required skills include proficiency in Python, Java, R, experience with PyTorch and TensorFlow, and strong communication skills; experience in addressing ethical implications of AI is also necessary.

liETtVLaARqgmMEbYzHNNLIzUPcdfPrwhYtVK7Qa.png Qualifications: Preferred qualifications include a PhD in a related field and advanced proficiency in deep learning frameworks, along with knowledge of natural language processing and the education sector.

liETtVLaARqgmMEbYzHNNLIzUPcdfPrwhYtVK7Qa.png Location: This is a fully remote position based in the United States; no travel is required.

liETtVLaARqgmMEbYzHNNLIzUPcdfPrwhYtVK7Qa.png Compensation: $135000 - $175000 / Annually



A pioneer in K–12 education since 2000, Amplify is leading the way in next-generation curriculum and assessment. Our core and supplemental programs in ELA, math, and science engage all students in rigorous learning and inspire them to think deeply, creatively, and for themselves. Our formative assessment products help teachers identify the targeted instruction students need to build a strong foundation in early reading and math. All of our programs provide educators with powerful tools that help them understand and respond to the needs of every student. Today, Amplify serves more than 15 million students in all 50 states. For more information, visit amplify.com.

Our Research and Measurement team is looking for an AI Engineer. The Research and Measurement team experiments with and develops cutting-edge statistical techniques to power Amplify’s instruction and assessments programs. The AI Engineer is crucial for integrating sophisticated AI technologies, including generative AI, into our products and internal processes.

Essential Responsibilities

  • AI Solutions Engineering: Develop and implement cutting-edge AI solutions to augment our product suite, focusing on functionality and efficiency.
  • Machine Learning Implementation: Design and deploy intricate machine learning models to address complex challenges, contributing to product development and strategy.
  • Cross-functional Collaboration: Work closely with diverse teams including learning scientists, data scientists, content experts, product managers, and engineers.
  • Technical Communication: Effectively communicate AI concepts and implementations to diverse audiences; create clear and understandable technical documentation.
  • Innovation and Growth: Stay current with AI advancements and integrate these into our models and strategies.
  • Knowledge Sharing: Help other teams at Amplify understand generative AI's applications and limitations.

Required Qualifications:

  • MS degree in Computer Science, AI, Machine Learning, or related field with a strong programming background.
  • 3+ years of experience in AI and software development in a commercial environment.
  • Understanding of ethical implications of AI, including fairness, accountability, data privacy concerns, especially as they pertain to educational environments
  • Demonstrated experience in applying AI solutions to a variety of problem domains.
  • Proficiency in languages like Python, Java, R, etc.
  • Proven experience with PyTorch, TensorFlow, and similar machine learning frameworks is essential.
  • Experience with cloud platforms (AWS, Google Cloud, etc.) for AI development and deployment, and with devops tooling.
  • Strong ability to communicate complex technical concepts to non-technical audiences.
  • Lifelong interest in contributing to the field of education.
  • Demonstrated ability to work in small teams, independently, creatively, with a “can-do” attitude.

Preferred Qualifications:

  • PhD in a relevant field.
  • Advanced proficiency in deep learning frameworks (TensorFlow, PyTorch, Keras, etc.).
  • Knowledge of natural language processing and related fields.
  • Exposure to or knowledge of the education sector or EdTech industry.

What we offer:

Salary is only one component of the Amplify Total Rewards package, which includes a 401(k) plan, competitive health insurance and mental health options, basic life insurance, paid time off, parental leave, and access to best-in-class development programs. The gross salary range for this role is $135,000 - $175,000. This role is eligible to earn an annual discretionary bonus that rewards individual and company performance.

Amplify is an Equal Opportunity Employer. Amplify makes employment decisions based on qualifications and merit, and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, veteran status, or any other legally protected characteristic or status.

Amplify is committed to providing reasonable accommodations for qualified individuals with disabilities, including disabled veterans. If you have a disability and need an accommodation in connection with the application or hiring process, please email [email protected].

.  

If you are selected for employment, a background check will be required. As required by state and local laws and district policies, you may be required to provide additional documentation, such as proof of vaccination, or submit to enhanced background screening, such as fingerprinting.

Amplify is an E-Verify participant.

Average salary estimate

$155000 / YEARLY (est.)
min
max
$135000K
$175000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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Full-time, remote
DATE POSTED
August 12, 2025
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