Remote Artificial Intelligence Engineer – United States – Drive Cutting‑Edge AI Solutions

Join a forward‑thinking tech team where you’ll design, build, and deploy intelligent systems that solve real‑world problems. This fully remote role offers competitive pay, flexible hours, and the chance to work on groundbreaking projects from anywhere in the U.S. You’ll collaborate with data scientists, product managers, and software engineers to turn research prototypes into production‑grade AI services.

About the Role

As an Artificial Intelligence Engineer, you will be responsible for the end‑to‑end lifecycle of AI models—from data acquisition and preprocessing to model training, evaluation, and deployment. You will work closely with cross‑functional partners to understand business needs, translate them into technical specifications, and deliver scalable solutions that improve product performance and user experience. The position is 100% remote, requiring a reliable internet connection and a proactive communication style.

Key Responsibilities

Model Development

• Design and implement machine learning and deep learning models using Python, TensorFlow, PyTorch, or similar frameworks.
• Perform feature engineering, hyperparameter tuning, and model validation to ensure robustness and accuracy.
• Stay current with the latest AI research and incorporate novel techniques into production pipelines.

Data & Infrastructure

• Build ETL pipelines to collect, clean, and label large datasets from diverse sources.
• Optimize data storage and retrieval for efficient model training (e.g., using SQL, NoSQL, or cloud data lakes).
• Containerize models with Docker and orchestrate deployments via Kubernetes or serverless platforms.

Collaboration & Delivery

• Partner with product and engineering teams to integrate AI components into web and mobile applications.
• Document model architecture, training procedures, and performance metrics for knowledge sharing.
• Participate in code reviews, agile ceremonies, and continuous improvement initiatives.

Requirements

Technical Skills

• Strong proficiency in Python and experience with ML libraries (scikit‑learn, TensorFlow, PyTorch, Keras).
• Solid understanding of algorithms, statistics, linear algebra, and probability.
• Hands‑on experience with cloud AI services (AWS SageMaker, Google AI Platform, Azure ML) or equivalent.
• Familiarity with version control (Git), CI/CD pipelines, and automated testing.

Experience

• Minimum 3 years of professional experience developing and deploying machine learning models in a production environment.
• Proven track record of delivering AI‑driven features that impacted key business metrics.
• Experience working in remote or distributed teams is highly preferred.

Soft Skills

• Excellent problem‑solving abilities and a curiosity for learning emerging technologies.
• Strong communication skills to convey complex concepts to both technical and non‑technical stakeholders.
• Self‑motivated, organized, and capable of managing multiple priorities with minimal supervision.

Benefits

• Competitive salary range: $130,000 – $170,000 USD per year (based on experience and location).
• Fully remote work flexibility – work from any U.S. state with a stable internet connection.
• Generous paid time off, holidays, and parental leave.
• Comprehensive health, dental, and vision insurance plans.
• 401(k) plan with company matching.
• Annual learning stipend for conferences, courses, and certifications.
• Home office setup allowance and ergonomic equipment.
• Regular virtual team‑building events and wellness programs.

Salary Range

Based on industry standards for mid‑senior AI engineers in the United States, the expected compensation for this role falls between $130,000 and $170,000 USD annually, with additional performance‑based bonuses and equity opportunities available for top performers.