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Entry Level Edge Ai Machine Learning Jobs (NOW HIRING)

Spear AI

Machine Learning Engineer

Spear AI is a growing defense contracting company dedicated to delivering cutting-edge solutions that support our nation's security. They are seeking a skilled Machine Learning Engineer to build and ...

Weekday AI

Machine Learning & NLP Expert

$80 - $110/hr

This role is for one of our clients Compensation: $80-$110 per hour Join a cutting-edge AI research ... We are seeking experienced Machine Learning & NLP Experts to contribute their technical expertise ...

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

Nace AI is a company focused on machine learning solutions, and they are seeking a Machine Learning Engineer to translate cutting-edge research into scalable, production-ready solutions. The role ...

Roboflow

Machine Learning Research Engineer

Required : • Masters / PhD in AI, machine learning, computer vision, robotics, or similar ... for edge hardware and training models on distributed infrastructure • Expertise in PyTorch ...

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine ... AI's strategic objectives. Key Responsibilities: * Design, build, and maintain end-to-end ML ...

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

Spear AI is a growing defense contracting company dedicated to delivering cutting-edge solutions ... Integrate machine learning models into real-time and batch processing systems * Optimize model ...

Roboflow

Machine Learning Research Engineer

Required : • Masters / PhD in AI, machine learning, computer vision, robotics, or similar ... for edge hardware and training models on distributed infrastructure • Expertise in PyTorch ...

Accelint

Machine Learning Engineer

... edge. Solutions are designed by operators who understand the mission, engineered for the conditions ... Bachelor's degree in Computer Science, Data Science, AI/Machine Learning, or a related technical ...

Devitechs

WI · On-site

$90 - $130/hr

Design, develop, and deploy scalable machine learning models to solve real-world business problems ... Research and stay updated with the latest advancements in AI, ML, and data science technologies

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... AI)/Machine Learning (ML) models Essential Duties & Responsibilities Research, analyze, support, and implement machine learning solutions on the Snowflake Cloud data warehouse platform using the ...

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As of Aug 17, 2026, the average hourly pay for entry level edge ai machine learning in the United States is $17.46, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $18.99 per hour, depending on experience, location, and employer.
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Infographic showing various Entry Level Edge Ai Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $36,327 per year, or $17.5 per hour.

Machine Learning Engineer

Spear AI

Remote

Full-time

Re-posted 16 days ago

Job description

Job Summary:
Spear AI is a growing defense contracting company dedicated to delivering cutting-edge solutions that support our nation's security. They are seeking a skilled Machine Learning Engineer to build and deploy production ML systems for maritime domain awareness, working on real-world projects that impact warfighter capabilities.
Responsibilities:
• Design, train, and optimize machine learning models using PyTorch
• Deploy models to production environments in the cloud and at the edge
• Build and maintain ML pipelines for training, evaluation, and inference
• Integrate machine learning models into real-time and batch processing systems
• Optimize model performance for accuracy, latency, and resource constraints
• Implement model monitoring, versioning, and deployment strategies
• Work with signal processing data and time-series analysis
• Improve local development and CI/CD for ML workflows using modern tooling and GitHub Actions
Qualifications:
Required:
• Several years of experience with Python and machine learning frameworks
• Expertise in PyTorch for building and training neural networks
• Experience training and serving models in cloud environments (AWS, Azure, GCP)
• Proficiency with MLOps practices including experiment tracking, model versioning, and deployment
• Experience with model optimization for production performance and scale
• Knowledge of Docker and Kubernetes for containerized deployments
• Familiarity with REST APIs and model serving frameworks
• Understanding of CI/CD pipelines for ML systems
• Strong fundamentals in machine learning including model architecture design, training strategies, and evaluation
• You're fanatical about polish. Every detail matters. You love to make sure your code is linted, formatted, fully typed, and has comprehensive test coverage.
• You care about correctness. You take pride in the fact that your models perform reliably and downstream consumers trust your predictions.
• You obsess over performance. You daydream about model latency, throughput, and efficient inference pipelines.
• You dive deep. It's important for you to really know how things work. You're always building prototypes and setting up experiments to reinforce your understanding.
• You live on the bleeding edge. You've got a long list of upcoming ML techniques and frameworks you're excited about and can't wait to experiment with new approaches.
• You're a great teacher. You know how to break down complex ML concepts for a specific audience and make it click with them in a way that gets them excited.
• You must be willing to receive a Secret or Top Secret/SCI security clearance.
Preferred:
• Experience with reinforcement learning algorithms and applications
• Digital signal processing experience
• Background in time-series analysis or sensor data processing
• Experience with edge deployment and model optimization for resource-constrained environments
• Familiarity with distributed training across multiple GPUs/nodes
• Experience with model compression techniques (quantization, pruning, distillation)
• Contributions to open-source ML projects or research publications
• Experience in defense, aerospace, or other regulated industries
Company:
Spear AI develops AI-powered software and hardware for maritime operations. Founded in 2021, the company is headquartered in Washington, USA, with a team of 51-200 employees. The company is currently Growth Stage.
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About Spear AI

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

11 - 50 Employees

Headquarters location

Washington, DC, US

Year founded

2020

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