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Full Time Monitoring Evaluation Learning Jobs (NOW HIRING)

EQA Schools

Real World Learning Coordinator

New Orleans, LA · On-site

$50K - $65K/yr

... monitoring and evaluation, workplanning, and execution * Flexible and learning mindset dedicated to effectively & innovatively problem solving Details * Schedule: All full time NET positions are year ...

Kira Learning

AI Learning Scientist

New York, NY · On-site

$130K - $180K/yr

This is a full-time position that frequently requires flexibility outside regular business hours ... You have experience designing and evaluating learning interventions, ideally with quantitative ...

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All JobsFull Time Monitoring Evaluation Learning Jobs

Full Time Monitoring Evaluation Learning information

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$31K

$77.4K

$130K

How much do full time monitoring evaluation learning jobs pay per year?

As of Jun 9, 2026, the average yearly pay for full time monitoring evaluation learning in the United States is $77,379.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $87,500.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Monitoring Evaluation Learning vs Monitoring and Evaluation Officer?

AspectFull Time Monitoring Evaluation LearningMonitoring and Evaluation Officer
CredentialsRelevant degrees in M&E, development, or related fieldsSimilar educational background, often with certifications in M&E
Work EnvironmentTypically in NGOs, government agencies, or international organizationsSame as above, often working on project sites or offices
Job FocusOversees multiple projects, develops M&E frameworks, and reports on program impactConducts data collection, analysis, and reporting for specific projects

Full Time Monitoring Evaluation Learning roles generally involve strategic oversight and broader program evaluation, while Monitoring and Evaluation Officers focus on data collection and reporting for individual projects. Both roles require similar qualifications and work environments, but differ in scope and responsibilities.

What cities are hiring for Full Time Monitoring Evaluation Learning jobs? Cities with the most Full Time Monitoring Evaluation Learning job openings:
What are the most commonly searched types of Monitoring Evaluation Learning jobs? The most popular types of Monitoring Evaluation Learning jobs are:
What states have the most Full Time Monitoring Evaluation Learning jobs? States with the most job openings for Full Time Monitoring Evaluation Learning jobs include:
What job categories do people searching Full Time Monitoring Evaluation Learning jobs look for? The top searched job categories for Full Time Monitoring Evaluation Learning jobs are:
Full Time Monitoring Evaluation Learning jobs near you
Infographic showing various Full Time Monitoring Evaluation Learning job openings in the United States as of May 2026, with employment types broken down into 4% As Needed, 88% Full Time, 4% Part Time, and 4% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $77,379 per year, or $37.2 per hour.
Machine Learning Engineer - Computer Vision & Data Systems

Machine Learning Engineer - Computer Vision & Data Systems

Apple

Sunnyvale, CA • On-site

$134K - $161K/yr

Full-time

Posted 24 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

At Apple, we are dedicated to creating technologies that enrich people's lives. Our teams develop products and experiences that empower millions of users globally, by combining world-class engineering with a deep commitment to innovation, quality, and privacy...We are seeking a Machine Learning Engineer with strong expertise in computer vision and large-scale data processing. In this role, you will contribute to the development of next-generation real-time sensing and data intelligence systems by designing algorithms, building scalable data pipelines, and collaborating with multi-functional teams to deliver high-impact, production-quality solutions.
As a Machine Learning Engineer, you will:- Design, build, and maintain large-scale data processing workflows, ensuring efficiency, scalability, and reliability across diverse data sources and modalities.- Develop and optimize computer vision models that power core product experiences, including areas such as image understanding, multi-view geometry, 3D reconstruction, and visual recognition.- Partner closely with engineering, research, and data teams to translate product requirements into technical solutions. This includes prototyping models, running large-scale experiments, improving data quality, and ensuring seamless integration of algorithms into production systems.- Explore emerging areas such as LLM-based agents, retrieval-augmented systems, and tool-oriented reasoning to improve internal workflows or data operations.
Strong foundation in computer vision, including experience with deep learning-based vision models and at least one area such as detection, segmentation, 3D vision, geometric methods, tracking, or self-supervised learning.Hands-on experience developing machine learning models using frameworks such as PyTorch or TensorFlow.Experience building or optimizing large-scale data pipelines (e.g., distributed ETL, dataset generation, annotation workflows, data validation, or high-throughput processing).Proficiency in Python or C++ for algorithm development and data processing.Experience working with distributed computing frameworks (e.g., Spark, Ray, or equivalent).
PhD in a relevant field with research directly related to computer vision, large-scale data systems, or multimodal learning.Experience designing or evaluating agentic systems, including LLM-powered tools, RAG pipelines, or automated data reasoning workflows.Familiarity with prompt engineering, tool-use patterns, and LLM model behavior.Experience deploying ML models at scale, including monitoring, evaluation, and continuous improvement.Knowledge of data quality assessment, dataset curation methodologies, and evaluation frameworks.Experience with GPU-based optimization, large-batch training, or distributed training.Strong multi-functional collaboration skills and the ability to lead technical initiatives.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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