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AI/ML Research Engineer

archer aviation • United States
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Archer Aviation is hiring an AI/ML Research Engineer to design, implement, and evaluate novel machine learning and deep learning algorithms for its advanced air mobility platform. The role involves prototyping complex solutions, conducting experiments, developing research tools, and transitioning prototypes into production-ready systems. Candidates need an M.S. or PhD in Computer Science/Engineering with strong AI/ML emphasis, expertise in PyTorch or TensorFlow, and deep knowledge of Transformer architectures and modern ML techniques.

Key Highlights
Design and evaluate novel ML/DL algorithms
Prototype and validate complex solutions from academic literature
Transition research prototypes into production-ready systems
M.S. or PhD in CS/CE with strong AI/ML emphasis
Strong proficiency in PyTorch or TensorFlow
Key Responsibilities
Design, implement, and evaluate novel machine learning and deep learning algorithms
Iterate on AI model development from data and architecture through evaluation and deployment
Collaborate with researcher engineers to prototype and validate complex solutions from academic literature
Conduct experiments to benchmark new techniques and evaluate model behavior
Develop tools and frameworks for scalable and reproducible research and development
Communicate research findings to leadership
Stay current with latest AI/ML developments and identify relevant innovations
Assist in transitioning research prototypes into production-ready systems
Technical Skills Required
Machine Learning Deep Learning PyTorch
Nice to Have
Experience with Reinforcement Learning, self-supervised training, and imitation learning
Experience developing VLA models for robotic manipulation and mobility
Experience developing production AI models
Publications at top conferences

Job Description

Headquartered in Silicon Valley, California, Archer is a leader in the next-gen aerospace sector building an end-to-end advanced air mobility platform that delivers air taxis, unmanned aircraft systems ("UAS"), aviation-related physical artificial intelligence ("AI") solutions, and other technologies to customers worldwide across the commercial aerospace and defense sectors.

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