Machine Learning Engineer - Remote

Overview

We’re looking for a Machine Learning Engineer to join our growing Data & AI team. In this role, you’ll help design, build, and deploy intelligent models and ML-powered workflows that solve real-world challenges at scale. You’ll work closely with data engineers, product owners, and AI specialists to turn ideas into production-ready solutions, embedding AI seamlessly into business processes.

In Short

• Model Development: Design, train, and refine machine learning models that tackle real business problems, ensuring they scale effectively in production environments.
• Data Pipeline Engineering: Build and maintain robust data ingestion, preprocessing, and transformation pipelines for diverse data sources (structured and unstructured).
• AI Workflow Integration: Contribute to end-to-end ML workflows—from serving and monitoring models to evaluating and iterating on their performance.
• Advanced AI Techniques: Apply state-of-the-art approaches, including transformers, LLMs, RAG, embeddings, vector databases, predictive modeling, and reinforcement learning, to push the boundaries of what’s possible.
• Model Monitoring & Optimization: Support ongoing evaluation and tuning of models to improve accuracy, efficiency, and reliability in production.
• MLOps: Help establish best practices for CI/CD, testing, and automated deployment of AI models.
• Agile Collaboration: Partner effectively with cross-functional teams in an agile setting, contributing to sprint planning, reviews, and collaborative problem-solving.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field.
• 3+ years of experience in machine learning engineering, applied AI development, or a similar role.
• Strong, hands-on experience with ML frameworks such as TensorFlow or PyTorch, from prototyping to deployment.
• Familiarity with cloud platforms (AWS, Azure, or Databricks) and experience delivering solutions at scale.
• Solid understanding of working with large, complex datasets spanning structured and unstructured formats.
• Sharp analytical and problem-solving skills with attention to data quality and model performance metrics.
• Strong communication and collaboration abilities—you’re a team player who can explain technical concepts clearly and drive projects forward.

Benefits

• Join a team of outdoor enthusiasts and experienced growth hackers.
• Opportunity to work on challenging problems and contribute to meaningful solutions.
• Collaborative and agile work environment.
• Equal Opportunity Employer.