AI Summary / Key Details
- Role: Remote Artificial Intelligence Engineer – Join a Cutting‑Edge AI Lab!
- Compensation: $25 - $45 / hr
- Location: Remote
- How to apply: Click the Apply Now button on this page to submit your resume.
Recent Activity
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Are you passionate about turning data into intelligent products that change the way people work and live? Our fast‑growing AI Lab is looking for a visionary engineer to design, build, and scale state‑of‑the‑art machine‑learning pipelines—all from the comfort of your home office.
Salary Range
$110,000 – $150,000 USD per year (based on experience, skill set, and geographic cost‑of‑living adjustments). This range reflects current market benchmarks for senior AI engineering talent in the United States.
About the Role
As a Remote Artificial Intelligence Engineer, you will partner with product managers, data scientists, and software architects to create end‑to‑end AI solutions. You’ll own the full lifecycle of machine‑learning models—from data ingestion and feature engineering to model deployment, monitoring, and continuous improvement.
Key Responsibilities
- Design, develop, and productionize scalable ML models for computer vision, NLP, and predictive analytics.
- Build robust data pipelines using tools such as Apache Airflow, Kafka, or AWS Step Functions.
- Implement model‑serving infrastructure with Docker, Kubernetes, and TensorFlow Serving or TorchServe.
- Collaborate with cross‑functional teams to translate business requirements into technical specifications.
- Maintain model performance dashboards, set up automated alerts, and conduct root‑cause analysis of drift.
- Write clean, testable Python/Scala code and contribute to shared libraries and open‑source components.
- Stay current with the latest AI research and evaluate emerging frameworks for potential adoption.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mathematics, or a related field.
- 5+ years of professional experience building and deploying machine‑learning models at scale.
- Proficiency in Python and at least one deep‑learning library (TensorFlow, PyTorch, JAX).
- Hands‑on experience with cloud platforms (AWS, GCP, or Azure) and IaC tools (Terraform, CloudFormation).
- Strong understanding of data structures, algorithms, and software engineering best practices.
- Familiarity with MLOps concepts: CI/CD for ML, model versioning (MLflow, DVC), and monitoring.
- Excellent communication skills and a proven ability to work autonomously in a fully remote environment.
Preferred Extras
- Publications or contributions to AI conferences (NeurIPS, ICML, CVPR).
- Experience with reinforcement learning or generative AI (GANs, diffusion models).
- Knowledge of edge‑AI deployment (TensorRT, ONNX Runtime).
- Background in a regulated industry (healthcare, finance) and familiarity with compliance frameworks.
Benefits & Perks
- Fully remote work with a flexible schedule—work when you’re most productive.
- Generous health, dental, and vision coverage for you and your dependents.
- 401(k) matching up to 5% of salary.
- Annual professional development stipend ($3,000) for courses, conferences, or certifications.
- Home‑office allowance (up to $1,500) for ergonomic chairs, monitors, and high‑speed internet.
- Unlimited paid time off plus company‑wide holidays.
- Access to a global community of AI experts through monthly tech talks, hackathons, and mentorship programs.
Why Join Our AI Lab?
We are a boutique, venture‑backed AI studio that partners with Fortune 500 brands to solve their toughest problems using custom machine‑learning solutions. Our remote‑first culture empowers engineers to own their projects, experiment boldly, and see their work ship to production within weeks—not months. If you thrive on solving ambiguous challenges and love collaborating across time zones, you’ll feel right at home here.
How to Stand Out
When you submit your application, include a short portfolio that highlights:
- A live demo or GitHub repo of an end‑to‑end ML pipeline you built.
- Metrics that showcase model impact (e.g., accuracy improvement, latency reduction).
- A brief write‑up of a technical challenge you overcame while working remotely.
Next Steps
Ready to push the boundaries of artificial intelligence from anywhere in the United States? Review the qualifications above, prepare your portfolio, and get ready to start a career where innovation meets flexibility.
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