Remote Machine Learning Engineer Jobs ($99K to $226K)

Are you an experienced Machine Learning Engineer looking for a remote position? This role offers the flexibility to work from anywhere while contributing to cutting‑edge AI projects. You will design, develop, and deploy machine learning models that drive business value, collaborating with cross‑functional teams including data scientists, software engineers, and product managers. The position involves end‑to‑end model lifecycle management, from data preprocessing and feature engineering to model training, evaluation, and production monitoring. You’ll work with large‑scale datasets, optimize inference speed, and ensure model fairness and compliance. The ideal candidate has a strong foundation in statistics, algorithms, and software engineering practices, and is comfortable with cloud platforms such as AWS, GCP, or Azure. In addition, you will research novel model architectures, contribute to open‑source projects, and mentor junior team members. The role provides access to robust infrastructure, including GPU clusters, and a comprehensive MLOps stack for CI/CD. This remote opportunity provides a competitive salary range between $99K and $226K, depending on experience and location. Join a dynamic team that values innovation, continuous learning, and work‑life balance.

• Bachelor’s degree in Computer Science, Engineering, or related field
• 3+ years of experience in machine learning or data science
• Proficiency in Python, TensorFlow or PyTorch
• Experience with model deployment and MLOps tools
• Strong understanding of statistics and algorithms
• Ability to work remotely and collaborate across time zones
• Experience with cloud platforms (AWS, GCP, Azure)
• Excellent communication and problem‑solving skills