Remote Machine Learning Engineer

Arc.dev curates remote Machine Learning roles at global tech companies, connecting engineers with opportunities ranging from freelance contracts to full-time positions. As a Machine Learning Engineer on one of these distributed teams, you will design, train, and deploy models that power intelligent products used by customers worldwide. You will collaborate with data scientists, software engineers, and product managers across time zones to take models from research to production, optimize inference performance, and maintain reliable ML pipelines.

Day-to-day work includes building data pipelines, experimenting with model architectures, evaluating performance against business metrics, and shipping features into customer-facing applications. You will work in a remote-first culture that values asynchronous communication, clear documentation, and ownership of end-to-end delivery. Roles are available across a variety of industries and tech stacks, giving candidates flexibility to find a team aligned with their interests and expertise.

Whether you are looking for a long-term full-time role or a shorter freelance engagement, Arc.dev's marketplace surfaces vetted opportunities with competitive compensation and flexible working arrangements. Successful candidates are expected to be self-directed, comfortable working independently, and able to communicate technical concepts clearly to both technical and non-technical stakeholders.

• 3+ years of experience building and deploying machine learning models in production
• Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn
• Experience with data engineering, feature stores, and model serving infrastructure
• Solid understanding of statistics, linear algebra, and model evaluation techniques
• Ability to work autonomously in a remote, async-first environment
• Excellent written and verbal communication skills
• Bachelor's degree in Computer Science, Statistics, or a related field (or equivalent experience)