Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
Position: Machine Learning Expert
Type: Contract
Compensation: $150–$200/hour
Location: Remote
Role Responsibilities
Develop challenging machine learning engineering tasks for a long-horizon AI research project .
Design tasks that challenge frontier models, ensuring they are solved in no more than 2 out of 8 attempts.
Focus on inference, evaluation, and systems work rather than heavy model training. Tasks run on both GPU and CPU .
Clearly explain why each problem is difficult for a frontier model.
Contribute ideas without needing to build or review the tasks yourself.
Qualifications
Must-Have
Current or recent role as an ML research engineer , research scientist , or applied scientist .
Experience with training, fine-tuning, or optimizing models in PyTorch or JAX .
Deep knowledge in at least one area: LLMs , GPU inference and performance , Reinforcement learning (RL) , or Scientific ML .
Ability to explain why a problem is hard for a frontier model.
Preferred
Experience writing benchmark or evaluation questions.
PhD in ML , CS , or physics , or an MSc with strong research output.
Publications.
Prior Mercor contracts with strong performance.
Application Process (Takes 20–30 mins to complete)
Upload resume
AI interview based on your resume
Submit form
Resources & Support
For details about the interview process and platform information, please check:
... Current or recent role as an ML research engineer , research scientist , or applied scientist . - Experience with training, fine-tuning, or optimizing models in PyTorch or JAX . - Deep knowledge in at least one area: LLMs , GPU inference and performance , Reinforcement learning (RL) , or Scientific ML . - Ability to explain ...
About the Role:You will own a research direction (STT, TTS or speech-to-speech) end to end. That means designing new architectures, pre-training foundation models from scratch on large multilingual audio, and getting them into production, while mentoring engineers on the https://jobeax.com/link/8hhwx0Db9xb1PsdQ you will ...
... customer experience. Our solutions are deployed across various platforms, impacting millions of users https://jobeax.com/link/IqeIpjsbiT2dmPhf Overview :As an ML Engineer at Elgebra, you will be responsible for designing, developing, and deploying machine learning models that drive critical business decisions. You will ...
... customer experience. Our solutions are deployed across various platforms, impacting millions of users https://jobeax.com/link/IqeIpjsbiT2dmPhf Overview :As an ML Engineer at Elgebra, you will be responsible for designing, developing, and deploying machine learning models that drive critical business decisions. You will ...
... Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one's of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the ...
... Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the ...
... iteration, with measurable outcomes. ● Programming. Expert Python, deep PyTorch and/or TensorFlow/Keras, and working proficiency in NumPy, scikit-learn and OpenCV. ● ML depth. Strong command of deep learning, computer vision, classical ML, statistics, calibration and experimental design. ● Production engineering. Linux, Git, Docker, ...
... https://jobeax.com/link/SS1ePMo4gAHXOsDu :- Design, develop, and deploy Machine Learning and Deep Learning models for business use cases.- Perform data analysis, feature engineering, model development, validation, and performance optimization.- Build predictive models using algorithms such as Regression, Classification, Clustering, Random ...
... the end of the program are converted to full-time AI/ML Engineer roles. What you'll do - Build and maintain Python services and REST APIs using FastAPI to serve ML models in production - Work on computer vision problems, image classification, object detection, segmentation, using PyTorch/TensorFlow and OpenCV - Work on NLP ...
... Engineer Intern to join our growing AI and Engineering team. This internship is ideal for students and freshers who want hands-on experience building real-world AI/ML systems, recommendation engines, intelligent automation tools, and scalable data-driven applications. - As an ML Engineer Intern, you will work closely with developers, ...