Remote Machine Learning Scientist

Job Overview

Location: New York City (Remote)
Salary: $134,280 annually
Job Type: Full-time, Remote

Introduction to the Role

Our team believes in leading with heart and intellect in a world where innovation accelerates faster than ever. We're on a mission to build intelligent systems that don't just transform industries, but also uplift the people who power them. As a Remote Machine Learning Scientist, you’ll be at the center of groundbreaking work, applying advanced ML techniques to real-world problems while being part of a diverse team that values respect, creativity, and belonging.

We know that behind every dataset and model is a person with ambition, curiosity, and lived experience. That’s why we’ve created a remote-first, people-centered workplace designed for your growth, wellness, and balance. Whether collaborating on a predictive model or mentoring a new colleague, your impact will ripple far beyond code.

Key Responsibilities and Duties

Core Functions

• Design, prototype, and deploy scalable machine learning models that solve complex business challenges.
• Research to advance state-of-the-art algorithms in deep learning, natural language processing, and probabilistic modeling.
• Work closely with platform engineers and development teams to embed machine learning models into robust production systems.

Business Impact and Communication

• Translate business goals into ML-driven solutions through hypothesis testing, experimentation, and rigorous evaluation metrics.
• Present insights and analytical outcomes effectively to colleagues with diverse technical backgrounds, ensuring clarity and actionable results.
• Continuously evaluate model performance and implement retraining strategies to ensure long-term relevance and accuracy.

Inclusive Workplace and Team Culture

Diversity and Belonging

Every innovation starts with inclusion. We are committed to fostering a workplace that honors diverse perspectives and backgrounds. Our organization champions equal access and advancement for all individuals.

We invite candidates of all identities, cultures, and experiences to bring their whole selves to work, whether you're a self-taught programmer from a rural town or a PhD graduate from a major university.

Here, your voice matters. We’ve cultivated a remote work environment where psychological safety, open dialogue, and mutual respect come first. Your identity will be celebrated, your values will be honored, and your ideas will help shape the future.

Stories of Support and Success

• One of our team members, a parent returning to tech after a five-year gap, was mentored through a personalized re-onboarding plan. Today, they lead a core AI initiative.
• Another colleague, who identifies as non-binary, played a pivotal role in evolving our internal practices to foster greater inclusivity and belonging across global teams.

We don’t just talk about inclusion—we live it, measure it, and improve it daily.

Qualifications and Requirements

Technical Expertise

• Proven experience in machine learning, with hands-on contributions to real-world ML applications.
• Strong knowledge of algorithms, data structures, and applied statistics.
• Proficiency in Python (and libraries like TensorFlow, PyTorch, or scikit-learn), focusing on reproducible and maintainable code.

Tools and Platforms

• Familiarity with MLOps practices, including version control, containerization, and continuous integration.
• Experience working with cloud-based ML infrastructure (AWS SageMaker, GCP AI Platform, or similar).
• Comfortable working in a remote analytics setting with distributed teams.
• Strong interpersonal communication and a genuine dedication to responsible and fair AI development.

Technology Stack and Toolset

Languages and Frameworks

• Languages: Python, SQL
• Frameworks: TensorFlow, PyTorch, scikit-learn

Cloud and Data Tools

• Cloud Platforms: AWS, Google Cloud Platform
• Data Tools: Apache Spark, Pandas, Airflow

Collaboration Software

• Collaboration: GitHub, Slack, Notion

While we value technical acumen, we equally prize creativity, adaptability, and your ability to work well within a diverse team.

Remote Work Environment and Flexibility

Remote Culture and Schedule

This is a fully remote role, centered in New York City but open to candidates across time zones who can maintain some overlap with EST hours. We offer autonomy without isolation—our virtual doors are always open, and our support networks are only a message away.

Support and Resources

We trust you to manage your time, care for your mental health, and define your workflow sensibly. We provide all the resources you need to succeed from home—a new monitor, a learning stipend, or a well-being coach.

Career Growth and Development

Learning and Mobility

Your journey with us doesn’t stop at this role. We’re deeply invested in continuous learning and leadership development. You’ll have access to:

• Personalized learning paths
• Biannual career growth check-ins
• Inclusive mentorship and peer review programs
• Internal mobility across departments and projects

We want you to thrive here, not just as a Machine Learning Scientist, but as a learner, mentor, and changemaker.

Join an Inclusive and Purpose-Driven Team

Empowerment and Belonging

You’ll join a team where collaboration is key and every voice helps shape the roadmap. Here, you won’t be expected to “fit in”—you’ll be empowered to stand out. From our community initiatives to our internal justice, equity, diversity, and inclusion programs, we’re building a workplace that reflects the world we want to live in.

Whether you’re passionate about ethical machine learning, eager to explore new modeling techniques, or simply seeking a role that values you as a whole person, this is where your next chapter begins.

Apply Now and Make a Difference

If you're looking for a remote opportunity where you can innovate fearlessly, grow authentically, and contribute to a genuinely inclusive workplace, we would love to hear from you.

Apply today and help us build intelligent systems with a human heart.

Let’s shape the future—together.