Remote AI/ML Researcher (Math Focus)

Shape the Future of AI—From Anywhere

What happens when deep mathematics meets artificial intelligence? Boundaries shift, and new tools emerge that redefine what’s possible. If the idea of designing groundbreaking machine learning models excites you, and if you see equations as a language for innovation—not just calculation—this remote AI/ML Researcher role is your next challenge. With an annual salary of $120,000, you’ll be empowered to explore, experiment, and advance AI research in an entirely virtual, globally connected environment.

Why This Role Matters

Every day, your mathematical creativity will be applied to unravel real-world problems—think optimization, prediction, and pattern discovery that can revolutionize industries. You’ll drive the design of machine learning algorithms rooted in advanced mathematics, making a tangible impact across projects from deep learning architecture to statistical inference for high-impact applications. Here, your contributions won’t disappear into a pipeline—they’ll become the foundation for products and solutions that touch thousands.

Your Daily Impact

Ready to move past templates and into territory where your ideas set the direction? You’ll:

• Invent and Prototype: Design new models for unsolved problems—whether it’s a unique neural network, a probabilistic graphical approach, or a hybrid ensemble. Tinker with deep learning frameworks and mathematical modeling tools that let you turn theory into working code fast.
• Turn Math into Momentum: You’ll apply advanced concepts from linear algebra, probability, optimization, and information theory—your mathematical fluency will unlock solutions for massive datasets, noisy signals, and evolving business needs.
• Influence at Scale: Your research outputs guide engineering teams, inform product decisions, and lead to real-world deployment. Collaborate asynchronously with teammates worldwide—your insights become part of daily workflows, not just academic papers.
• Energize Collaboration: It’s not just about heads-down research. You’ll present findings to diverse teams, translate technical concepts into actionable strategies, and spark discussion that drives the roadmap forward. You simplify complex ideas—whether it’s over Zoom or Slack.
• Measure What Matters: Run meaningful experiments. Design evaluation protocols that push the boundary of what “good” looks like, and help teams make bold, data-backed decisions. Your recommendations will directly shape project outcomes and feature launches.

Tools & Technologies

You’ll have access to everything you need for high-impact research and development:

• Remote collaboration stack: GitHub, Jupyter, Slack, and Notion.
• ML & math libraries: PyTorch, TensorFlow, NumPy, SciPy, Scikit-learn.
• Experimentation platforms: MLflow, Weights & Biases, custom pipelines.
• Visualization and reporting: Matplotlib, Plotly, Tableau.

You’re encouraged to propose new tools, explore emerging technologies, and push the boundaries of how remote AI research gets done. We move quickly, but you’ll always have space to focus intensely.

Growth-Oriented Environment

Here, you’ll never feel siloed or limited. You’ll partner with engineering, product, and design teams to launch solutions that reach thousands of users globally. Curiosity and initiative are valued over a rigid process. Share your story, your passions, and your vision—you’ll find peers ready to co-create and challenge you.

• Ongoing Learning: Join a culture of continuous improvement, where you can attend workshops, enroll in online courses, and participate in journal clubs.
• Mentorship and Thought Leadership: Lead internal sessions, publish research, or mentor junior colleagues. Your expertise is valued and amplified.
• Remote-first by design: Work wherever you do your best thinking—whether that’s a quiet home office, a co-working space, or on the move.

What Sets You Apart

• You see mathematical models as creative tools, not just checklists.
• You’re energized by ambiguity and thrive when given autonomy.
• You know how to translate abstract theory into clear, practical outcomes that impact product design and user experience.
• Experience designing and validating ML models, especially those grounded in rigorous mathematical foundations.
• A strong foundation in higher mathematics, computational sciences, or quantitative disciplines sets you apart. Formal credentials such as a master’s or doctorate are valued, but if your track record includes exceptional contributions or innovative research from unconventional backgrounds, we want to hear your story.
• You communicate in a way that makes others care about the “why” behind your work, not just the “how.”

What You’ll Need to Succeed

• Demonstrated fluency in math-driven machine learning—optimization, deep learning, Bayesian statistics, or related areas.
• Ability to independently structure research questions and follow them to concrete, deployable solutions.
• Curiosity for exploring new tools, frameworks, and research papers—plus the initiative to bring ideas from prototype to impact.
• A knack for working remotely and asynchronously, balancing independent focus with collaborative problem-solving.

The Opportunity

Here’s your chance to pioneer solutions that matter. Your work won’t just improve a model’s accuracy; it’ll create new capabilities and inspire a wider community of researchers and builders. You’ll have the flexibility to explore, the support to go deep, and the stage to share what you learn.

Ready to Build What’s Next?

If you’re ready to challenge conventions and make an impact from day one, we’re prepared to meet you. Let’s build something meaningful together.

Annual Salary: $120,000.