Remote Machine Learning Engineer
Scopic is seeking a talented Remote Machine Learning Engineer to join its global team. This full-time role is ideal for professionals passionate about AI/ML, Python, and cloud-based architectures. The successful candidate will design, develop, and maintain scalable, fault-tolerant ML services while contributing to cutting-edge research and production-grade systems. You’ll work independently yet collaboratively with a distributed team, using modern tools to build innovative solutions in a flexible, fully remote environment. Scopic values growth, recognition, and professional development, offering opportunities to learn, innovate, and be rewarded for your contributions. This role is perfect for someone who thrives on problem-solving, enjoys tackling complex challenges, and wants the freedom to work from anywhere in the world.
Salary: Not specified by Scopic. Estimated global pay is between US $25 - $150 per hour, based on freelance and industry benchmarks for junior - senior Machine Learning Engineers. Actual pay may vary depending on experience, location, and your qualification.
Application accepted until position is filled
Requirements
1. 3+ years hands-on experience with Python.
2. 4+ years of experience with machine learning, deep learning, LLMs, or foundational models.
3. Experience with cloud architectures (AWS), AI/ML pipelines, and production deployment.
4. Skilled in automated data preparation, curation, annotation, and secure scalable storage.
5. Experience fine-tuning, training, validating, testing, and deploying ML models.
6. Vision-based AI experience, including object detection, image segmentation, and automated labeling.
7. Preferred: NVIDIA Enterprise AI, AWS SageMaker/Bedrock/Clean Rooms, Data Lakes.
8. Preferred: Media & Entertainment formats (IMF, Pro Tools, MXF, 3D).
9. Strong problem-solving, communication, and collaboration skills.
Benefits
1. Flexible schedule and location - work from anywhere in your preferred time zone.
2. Paid training and professional growth opportunities.
3. Competitive hourly pay with annual performance-based increases.
4. Consistent, engaging workload with cutting-edge projects.
5. Recognition and reward for diligence and high performance.
The application process will continue on the employer's website.
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