AI Engineer (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AI Engineer in the United States.

In this role, you will be part of a team driving innovation in educational technology through the integration of advanced AI solutions. You will design, develop, and deploy machine learning and generative AI models that enhance learning products and internal processes. Collaborating closely with researchers, product managers, engineers, and content experts, you will help translate complex AI concepts into actionable, practical applications. The role provides opportunities to experiment with cutting-edge AI techniques, influence product strategy, and contribute to solutions that impact millions of students. This position encourages creativity, cross-functional collaboration, and staying ahead of AI advancements while maintaining a focus on ethical, responsible AI use in educational contexts.

Accountabilities:

• Develop and implement AI and machine learning solutions to improve educational products and internal processes.
• Design, train, and deploy complex models, ensuring performance, scalability, and accuracy.
• Collaborate cross-functionally with data scientists, engineers, product managers, learning scientists, and content experts to integrate AI effectively.
• Communicate technical concepts clearly to both technical and non-technical stakeholders; produce thorough documentation.
• Stay current with AI advancements and integrate new methods into products and workflows.
• Share knowledge across teams to support understanding of generative AI applications and limitations.

• MS degree in Computer Science, AI, Machine Learning, or related field with strong programming skills.
• 3+ years of experience in AI development and software engineering in a commercial environment.
• Experience in ethical AI design, including fairness, accountability, and data privacy considerations, especially in education.
• Proficiency in Python, Java, R, or similar programming languages.
• Strong experience with PyTorch, TensorFlow, or other ML frameworks.
• Experience with cloud platforms (AWS, Google Cloud, etc.) for AI deployment and related DevOps tooling.
• Excellent communication skills and the ability to explain complex AI concepts to non-technical audiences.
• Proven ability to work independently, creatively, and collaboratively in small teams.
• Passion for advancing educational technology and contributing to student learning outcomes.

Preferred Qualifications:

• PhD in AI, Machine Learning, or a relevant field.
• Advanced knowledge of deep learning frameworks (TensorFlow, PyTorch, Keras).
• Experience with natural language processing and related AI fields.
• Familiarity with the education sector or EdTech industry.

• Competitive salary: $135,000 – $175,000 USD, plus annual discretionary bonus.
• 401(k) retirement plan.
• Comprehensive health, dental, and vision insurance.
• Paid parental leave and flexible paid time off.
• Life insurance and mental health support programs.
• Professional development opportunities and stipends.
• Remote-first work environment with occasional in-person collaboration.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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