Remote AI ML Engineer Jobs in New York

🌟 Introduction: A Future-Driven Opportunity Awaits

Imagine a place where your machine learning models fuel real-world impact, where your AI algorithms shape innovation, and where your code isn't just functional—it's foundational. We are a boundary-pushing organization reimagining how artificial intelligence transforms the world of tomorrow. This fully remote opportunity for an AI/ML Engineer opens the gateway to joining a vibrant team committed to advancing intelligent systems with heart, precision, and creativity.

The digital frontier is rapidly evolving, and we’re not just keeping up—we’re leading the way. If you're someone who thrives at the intersection of algorithmic sophistication and real-world application, then this might be the challenge you've been waiting for. We empower engineers to dream, code, and build beyond limits. Here, your ideas matter.

🚀 Key Responsibilities: Crafting the Future with Intelligence

As a Remote AI/ML Engineer, you’ll be at the helm of inventive projects. Your role blends strategic development, experimentation, and deployment of machine learning models across diverse ecosystems.

• Design, develop, and optimize machine learning algorithms to solve unique real-world problems.
• Train predictive models on structured and unstructured datasets using supervised and unsupervised learning techniques.
• Work closely with diverse stakeholders from product, tech, and data domains to uncover impactful applications for AI innovation.
• Ensure model explainability, interpretability, and fairness.
• Integrate AI solutions into scalable APIs and microservices.
• Monitor model drift and maintain accuracy through continuous validation.
• Utilize transfer learning, reinforcement learning, and NLP where applicable.
• Stay updated on emerging ML trends, frameworks, and tools.

💼 Work Environment: Remote, Connected, and Creative

While you work from your preferred location, you’ll be immersed in an environment that nurtures innovation, celebrates inclusivity, and values every perspective. Collaboration doesn't stop at our screens—our culture thrives through digital creativity hubs, virtual hackathons, and synchronous brainstorming marathons.

• Freedom to ideate and iterate without bureaucracy.
• A flat structure where voice and vision hold equal weight.
• Transparent feedback culture focused on mentorship and growth.
• Slack channels are buzzing with memes, machine learning breakthroughs, and Friday trivia.

🧠 Tools & Technologies: A Playground of Innovation

We believe in using the right tool for the right task, and we support engineers in exploring the edge.

• Languages: Python, Scala, JavaScript (Node.js for deployment tasks)
• Frameworks: TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers
• Pipelines: Airflow, MLflow, Kubeflow
• Cloud Platforms: AWS SageMaker, Azure ML Studio, Google Vertex AI
• Data Stores: PostgreSQL, BigQuery, MongoDB
• Visualization: Streamlit, Plotly, Dash for internal AI dashboards

This isn’t about matching a checklist. It’s about playing with possibility.

📚 Qualifications: Curiosity, Expertise & Spark

We don’t just look at degrees. We look at the drive. But to hit the ground running, these foundations will help:

• At least four years of hands-on practice building and operationalizing machine learning models in real-world settings.
• Strong background in statistics, data structures, and linear algebra.
• Real-world experience with deep learning architectures such as CNNs, RNNs, and transformers.
• Proven ability to translate data patterns into actionable insights.
• Comfortable working with large-scale datasets and distributed systems.
• Ability to document, present, and communicate technical solutions to diverse audiences.
• A love for testing hypotheses and building things that last.

Bonus points if you’ve:

• Published research in AI journals or conferences.
• Contributed to open-source AI/ML libraries.
• Built AI models for production environments in high-stakes industries.

💸 Salary & Perks: Competitive, Transparent, Rewarding

You deserve to be rewarded for your brilliance. This role offers an annual salary of $184,560, in addition to perks designed for balance and well-being.

• 100% remote flexibility
• Comprehensive health, dental, and vision insurance
• Annual tech stipend for home office upgrades
• Generous paid leave and holidays
• Learning and development budget
• Access to AI summits, conferences, and virtual masterclasses
• Equity participation opportunities for long-term impact

🌍 Impact & Growth: Where Passion Meets Purpose

We’re not just coding for the sake of lines on a screen. Our mission is to build ethical, responsible, and high-impact AI that transforms how industries operate—from climate resilience tools to intelligent financial systems and accessible healthcare platforms.

As part of our AI team, your work won’t be buried in a pipeline. It will be launched, celebrated, iterated, and scaled. You’ll have the chance to:

• Mentor junior engineers and shape AI development practices.
• Contribute to groundbreaking internal AI libraries.
• Solve challenges with real-world consequences and reach.
• Stay agile through consistent upskilling and exploration.

📣 Ready to Build What's Next? Apply Now

This isn’t just another remote job posting. It’s an invitation to shape what tomorrow looks like.

We’re looking for thinkers, builders, and tinkerers who don’t settle for the status quo. If you’re passionate about artificial intelligence, love solving meaningful problems, and are excited by the freedom to experiment, we want to hear from you.

Push boundaries. Train smarter systems. Let your work speak volumes.

👉 Apply now and become the force behind the next intelligent breakthrough.