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Gradient Learning Jobs (NOW HIRING)

Required : • Expertise in Python (including NumPy, pandas, and other packages) • Experience with either PyTorch or TensorFlow • Deep understanding of machine learning fundamentals (gradient ...

Automation Engineer

San Francisco, CA · On-site

$130K - $170K/yr

Gradient builds the autonomous robots that make it possible. Partnered with the world's largest AI ... machine learning specialists to control the robot Minimum Qualifications * Have designed an ...

Required : • Expertise in Python (including NumPy, pandas, and other packages) • Experience with either PyTorch or TensorFlow • Deep understanding of machine learning fundamentals (gradient ...

Automation Engineer

San Francisco, CA · On-site

$120 - $160/hr

Gradient builds the autonomous robots that make it possible. Partnered with the world's largest AI ... machine learning specialists to control the robot Minimum Qualifications * Have designed an ...

Deep understanding of machine learning fundamentals (gradient descent, cross-validation, ROC curves, confusion matrices) are necessary. Knowledge of classical machine learning (e.g., support-vector ...

Sr. Engineer, Machine Learning

Redwood City, CA · On-site

$127K - $175K/yr

LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc. * Should have excellent understanding of ML lifecycle * Good understanding of system architecture. Have knowledge of big ...

LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc. * Should have excellent understanding of ML lifecycle * Good understanding of system architecture. Have knowledge of big ...

... gradient-boosted trees, or sophisticated ensemble methods - to aid decision-making so we apply the ... learning package * A proven ability to create and maintain an organized research codebase that ...

Sr. Engineer, Machine Learning

Redwood City, CA · On-site

$127K - $175K/yr

LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc. • Should have excellent understanding of ML lifecycle • Good understanding of system architecture. Have knowledge of ...

Showing results 21-40

Gradient Learning information

What is Gradient Learning?

Gradient Learning is an education-focused nonprofit organization that partners with schools and educators to develop innovative teaching tools and learning models. Their mission is to support student-centered education by providing resources such as curriculum content, professional development, and technology platforms. Gradient Learning is known for initiatives like the Summit Learning program, which emphasizes personalized learning, project-based instruction, and strong teacher-student relationships. They collaborate with schools to improve educational outcomes and empower teachers to tailor learning experiences to individual student needs.

How does a Gradient Learning professional collaborate with educators and technology teams to implement personalized learning solutions?

Professionals working in Gradient Learning roles often serve as a bridge between educators and technology teams, ensuring that personalized learning platforms are effectively integrated into classroom environments. They collaborate with teachers to understand classroom needs, provide training, and gather feedback to refine digital tools. Simultaneously, they work closely with developers and product managers to relay user insights and help prioritize features that enhance student learning experiences. This cross-functional collaboration is essential for creating solutions that are both pedagogically sound and technically robust.

What are the key skills and qualifications needed to thrive as a Gradient Learning specialist, and why are they important?

To thrive as a Gradient Learning specialist, you need expertise in instructional design, educational technology integration, and a background in teaching or curriculum development, often supported by a relevant degree. Familiarity with learning management systems (LMS), digital assessment tools, and platforms like Google Classroom is common in this role. Strong communication, collaboration, and problem-solving skills are essential for engaging educators and supporting student-centered learning. These skills ensure the effective implementation of personalized learning strategies and foster successful educational outcomes.
More about Gradient Learning jobs

What states have the most Gradient Learning jobs?

States with the most job openings for Gradient Learning jobs include:

Infographic showing various Gradient Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Machine Learning Engineer

CoVar

Durham, NC • On-site

Full-time

Re-posted 4 days ago


Job description

Job Summary:
CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. The Machine Learning Engineer will develop software and machine learning algorithms to address real-world customer issues and will have opportunities to present their work to high-level customers.
Responsibilities:
• help CoVar develop software and machine learning algorithms to solve real-world customer problems
• work with data, develop algorithms, evaluate results, and write the production code that goes onto real-world systems
• present your work to high-level customers in the DoD and in the industry
• publish novel work in both classified and unclassified settings
Qualifications:
Required:
• Expertise in Python (including NumPy, pandas, and other packages)
• Experience with either PyTorch or TensorFlow
• Deep understanding of machine learning fundamentals (gradient descent, cross-validation, ROC curves, confusion matrices)
• Knowledge of classical machine learning (e.g., support-vector-machines, logistic regression)
• Familiarity with computer vision algorithms like object detection networks (e.g., YOLO, CenterNet) and modern image classification techniques
• B.S., preferably M.S. or Ph.D in engineering, math, computer science, or related field
• Excellent technical communication skills
• Ability to work in Durham, NC (relocation assistance available)
• Eligibility for US security clearance (US citizenship is required)
Preferred:
• Deep knowledge of state-of-the-art in computer vision
• Department of Defense project experience
• Active US security clearance (secret or higher)
Company:
CoVar is a leader in machine learning and artificial intelligence solutions. Founded in 2011, the company is headquartered in Mclean, USA, with a team of 11-50 employees. The company is currently Early Stage.