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Remote 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 ...

Huzzle

AI Engineer - Remote

Fine-tune machine learning models and improve model performance. * Work with structured and ... edge AI automation projects with real business impact Strong growth opportunity into senior AI ...

Kake Group

Senior AI Talent Sourcer

Austin, TX · Remote

... edge AI initiatives. If you thrive in complex talent markets, enjoy uncovering hard-to-find ... Core Requirements * 5+ years of experience sourcing AI , machine learning , LLM , research ...

Paylocity

Machine Learning Engineer

This is a fully remote position, allowing you to work from home or location of record within the U ... Our team is: • Building infrastructure that can power ML and AI features for millions of users ...

Anytime AI

Machine Learning Engineer

OR · Remote

$100K - $200K/yr

... most cutting-edge Generative AI technologies. We empower attorneys by automating essential ... Position Overview As a Machine Learning Engineer, you will be instrumental in crafting and refining ...

BeiGene USA

Associate Director, AI and Machine Learning

$60K - $60K/yr

Lead the strategy, design, and implementation of AI and machine learning solutions to support R&D digital transformation and operational efficiency. * Drive the adoption of AI across R&D by ...

Jobgether

This is a remote opportunity for an experienced Machine Learning Specialist to design and deliver data-driven products and AI solutions. You will work across machine learning, data science, analytics ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Lead

Ashburn, VA · On-site +1

$104K - $138K/yr

Remote Work: Hybrid Job Number: R0246710 Location: Ashburn,VA,US Share job via: Share AI/ML ... As an AI/Machine Learning Engineer, you'll lead the design, development, and deployment of advanced ...

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 ...

Home Depot

Senior AI Engineer (Remote)

Atlanta, GA · On-site +1

$99K - $136K/yr

... edge AI capabilities from concept to production. Required skills * Experience: 6+ years of experience in AI, Machine Learning Engineering, or Software Engineering with strong Python development ...

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Remote Edge Ai Machine Learning information

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$25.5K

$42.6K

$88K

How much do remote edge ai machine learning jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote edge ai machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Edge Ai Machine Learning vs Data Scientist?

AspectRemote Edge Ai Machine LearningData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with ML frameworksBachelor's or Master's in Statistics, CS, or related fields; strong analytical skills
Work EnvironmentRemote, often on edge devices or IoT systemsTypically office or remote, analyzing data in cloud or on-premises
Industry UsageAI development, IoT, autonomous systemsBusiness analytics, research, product development

Remote Edge Ai Machine Learning specialists focus on deploying ML models on edge devices, often requiring knowledge of embedded systems. Data Scientists analyze large datasets to extract insights, usually working in cloud environments. While both roles require strong ML fundamentals, their work environments and application areas differ significantly.

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Remote Edge Ai Machine Learning jobs near you
Infographic showing various Remote 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 $42,584 per year, or $20.5 per hour.

Machine Learning Engineer

Spear AI

Remote

Full-time

Re-posted 15 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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