Remote Artificial Intelligence Engineer: Architect Scalable AI Systems for Global Impact

Join a pioneering AI research firm as a key engineer on our fully distributed team, where you’ll design and deploy robust machine learning pipelines that solve real-world problems. This remote role offers unparalleled autonomy to innovate, a mission-driven culture, and the chance to see your code power products used by millions worldwide.

Compensation & Role Overview

We believe in transparent and competitive pay. For this senior-level remote position, the estimated salary range is $135,000 – $190,000 USD/year, finalized based on your proven experience, technical depth, and the impact you’ve had in prior AI engineering roles. This is a full-time, W-2 employee position with full benefits, not a contract.

About the Role: Engineering Intelligence at Scale

As an Artificial Intelligence Engineer, you will move beyond prototypes to production. You’ll be responsible for the full lifecycle of AI model development—from data ingestion and feature engineering to training, rigorous evaluation, and seamless deployment in cloud-based or edge environments. Your work will directly feed into our core product suite, enhancing recommendation engines, predictive analytics, and natural language processing systems.

Key Responsibilities

• Design, build, and maintain scalable, efficient machine learning pipelines using MLOps best practices.
• Develop and optimize deep learning models (CNNs, RNNs, Transformers) for our core applications in computer vision and NLP.
• Collaborate closely with Data Scientists to translate experimental models into production-grade, well-documented, and monitored services.
• Write clean, testable, and performant code in Python, primarily using frameworks like PyTorch, TensorFlow, and Scikit-learn.
• Own the technical infrastructure for model training and inference, leveraging AWS SageMaker, Google Vertex AI, or Azure ML.
• Champion code quality and engineering rigor through peer reviews, automated testing, and continuous integration.

Day-to-Day Impact

Your typical day is a blend of deep focus and collaborative sprint. You might spend the morning optimizing a transformer model’s inference latency, then join a cross-functional sync with product and research teams to define the next quarter’s AI roadmap. You will have the ownership to propose new architectural approaches and the support to implement them, with your success measured by the reliability and business value of the systems you build.

What You Bring: The Ideal Profile

We are looking for a pragmatic engineer who loves complex challenges. You have a strong foundation in software engineering principles and a proven track record of shipping AI-powered features.

Must-Have Expertise

• Experience: 4+ years of professional software engineering experience, with at least 2+ years dedicated to building and deploying ML models in a production environment.
• Technical Skills: Expert proficiency in Python and core ML/DL libraries (PyTorch/TensorFlow, NumPy, Pandas). Solid understanding of data structures, algorithms, and software design patterns.
• ML Ops: Hands-on experience with model serving (TensorFlow Serving, TorchServe), containerization (Docker), and orchestration (Kubernetes). Familiarity with CI/CD pipelines for ML is a plus.
• Cloud: Proven experience with at least one major cloud provider’s AI/ML stack (AWS, GCP, or Azure).
• Communication: Excellent written and verbal skills to document complex systems and collaborate effectively across time zones in a remote setting.

Preferred Skills & Experience

• Experience with large-scale data processing (Spark, Dask, BigQuery) and feature stores (Feast, Tecton).
• Background in one or more specialized domains: NLP (LLMs, embeddings, fine-tuning), Computer Vision (object detection, segmentation), or Recommender Systems.
• Contributions to open-source ML projects or a strong public GitHub portfolio.
• An advanced degree (MS or PhD) in Computer Science, Machine Learning, Statistics, or a related quantitative field.

Why Join Us? Remote-First Benefits & Growth

We are a fully distributed company because we believe talent is global and flexibility fuels innovation. We’ve built our culture and processes from the ground up to support remote excellence.

Remote-First Perks & Package

• Location Independent: Work from anywhere. We provide a generous annual home office stipend to optimize your workspace.
• Health & Wealth: Comprehensive medical, dental, and vision insurance (US-based employees) or health stipend (international). 401(k) match and equity participation.
• Time Off: Unlimited flexible PTO plus company-wide holidays and a sabbatical program.
• Connect & Grow: Annual team retreats (when safe), a dedicated learning & conference budget, and access to premium learning platforms.
• Tools: Top-tier equipment of your choice and a stipend for high-speed internet.

Growth & Impact

You will tackle some of the hardest problems in AI alongside a world-class, supportive team. We invest heavily in your professional development with clear career ladders and regular mentorship. Your work will have a tangible, measurable impact on our products and our customers’ experiences.

The Next Steps

If you are a passionate AI Engineer who thrives in a remote, high-ownership environment and wants to build systems that matter, we want to hear from you. Please submit your resume and a brief explanation of the most impactful ML system you have designed and deployed. Include a link to your GitHub or portfolio if available. We review every application and will contact qualified candidates for a multi-stage interview process that includes technical assessments and team meetings.