Remote Deep Learning Scientist – Drive the Future of AI Innovation from Anywhere in NYC

Role Overview

Are you passionate about building intelligent systems that learn, adapt, and drive innovation? As a Remote Deep Learning Scientist, you’ll lead in crafting and implementing advanced AI models that directly influence strategic initiatives and product capabilities. This position is not just about algorithms—it's about shaping real-world outcomes through responsible, scalable artificial intelligence.

Working remotely from the vibrant and opportunity-rich ecosystem of New York City, you will collaborate with top-tier researchers, data scientists, and engineers to address sophisticated challenges in AI and machine learning. Your work will power intelligent applications across domains, enabling more thoughtful decision-making, automation, and personalization at scale.

Key Responsibilities of the Remote Deep Learning Scientist

Model Development and Optimization

• Design, train, and fine-tune deep learning architectures (CNNs, RNNs, Transformers, etc.) to solve real-world challenges in computer vision, natural language processing, recommendation systems, and more.
• Focus on performance, scalability, and interpretability across diverse datasets.

Research and Innovation in Deep Learning

• Drive novel investigations that expand the frontiers of applied AI.
• Review and integrate breakthroughs from leading machine learning publications.
• Translate academic advancements into actionable, production-ready models and solutions.

Cross-Functional AI Collaboration

• Partner with software engineers, product managers, and business analysts to align model development with product goals.
• Provide technical leadership in deep learning methodology and machine learning lifecycle management.

Evaluation and AI Deployment

• Build robust evaluation pipelines using statistical and domain-specific metrics.
• Ensure seamless deployment and continuous monitoring of models in cloud-native environments.

Scalable AI Infrastructure and Experimentation

• Design experiments and training processes that scale across distributed systems and GPUs.
• Utilize platforms like PyTorch, TensorFlow, and JAX.
• Contribute to infrastructure improvements for model training and experimentation.

Remote Work Environment and Team Culture

This remote-first position is based in New York City, offering unparalleled flexibility while staying connected to one of the world’s leading tech hubs.
You’ll enjoy a collaborative culture that celebrates curiosity, innovation, and continuous learning. Your voice and ideas will be heard, valued, and acted upon.

The team operates within a hybrid agile model with clear sprint goals, deep-dive reviews, and regular feedback loops. We embrace asynchronous communication while maintaining strong interpersonal bonds through digital meetups, virtual lab sessions, and optional in-person events.

Technologies and Tools Used in Deep Learning

AI Frameworks and Libraries

• PyTorch, TensorFlow, Hugging Face, Keras

Programming Languages for Deep Learning

• Python, C++, CUDA

AI Platforms and Infrastructure

• Google Cloud, AWS SageMaker, Docker, Kubernetes

Data and Workflow Tools

• Apache Spark, Pandas, NumPy, SQL
• Git, MLflow, DVC, Weights & Biases

Qualifications and Technical Skills Required

• Master’s or Ph.D. in Computer Science, Applied Mathematics, Data Science, or a related technical discipline.
• 3+ years of hands-on experience in deep learning development.
• Strong mathematical foundation in linear algebra, probability, statistics, and optimization.
• Proficiency in Python and deep learning frameworks (PyTorch preferred).
• Experience with real-world datasets and large-scale data processing.
• Solid understanding of model evaluation techniques and lifecycle management.
• Adept at articulating complex ideas to audiences with varying technical expertise, stakeholders.

Success Metrics and Performance Expectations

First 6 to 12 Months Goals

• Deploy multiple deep learning models into production with measurable business impact.
• Contribute to and lead innovative research projects.
• Strengthen the AI pipeline with robust MLOps practices.
• Become a go-to subject matter expert in deep learning within the organization.

Your influence will extend beyond technical delivery. You’ll become a driving force for ethical AI practices, scalable innovation, and knowledge sharing across teams.

Career Growth and Advancement Opportunities

Leadership and Mentorship Roles

• Lead high-impact research initiatives and pilot projects.
• Mentor junior scientists and contribute to team development.

Professional Development and Recognition

• Speak at industry conferences and author whitepapers or technical blogs.
• Progress into Principal Scientist or Research Lead roles.
• Influence the strategic direction of AI across core product lines.

Benefits of Joining Our Remote AI Team

• 💼 Compensation: Annual Salary of $134,280
• 🌎 Remote-first, NYC-Based Culture: Work where you thrive
• 📈 Professional Development: Budget for courses, conferences, and certifications
• 🧠 Innovative Environment: Team passionate about AI and real-world impact
• 🤝 Diversity & Inclusion: A Workplace where your voice matters

We are committed to cultivating a high-integrity, intellectually curious, and collaborative team environment where breakthroughs are not only encouraged—they’re expected.

Apply Now to Join the Future of AI

We want to hear from you if you're driven by innovation, grounded in science, and inspired to create technologies that transform lives**.**

Apply today to become a part of something bigger. Let’s shape the next generation of intelligent systems—together.