Machine Learning Software Engineer
Descrizione dell'offerta
About Us: Swan delivers the future of defense and industry through scalable autonomous products. Swan is backed by leading defense VCs including a16z's American Dynamism fund. Role Overview: We are seeking an expert Machine Learning Engineer with deep experience in computer vision, model optimization, and deployment on low-cost embedded systems. The ideal candidate will have a strong background in designing, training, and optimizing deep learning models for real-time applications. This role requires expertise in efficient neural network architectures, quantization, model compression, and hardware acceleration techniques to run ML models on resource-constrained devices. Key Responsibilities: Design, develop, and optimize computer vision models for real-time applications on embedded systems. Implement model compression techniques such as quantization, pruning, and knowledge distillation to improve performance on low-power hardware. Deploy machine learning models on embedded platforms, including ARM, NVIDIA Jetson, Qualcomm, or custom ASICs. Write clean, efficient, and well-documented code in Python and C++, leveraging ML frameworks like TensorFlow, PyTorch, and ONNX. Develop and fine-tune SLAM, object detection, tracking, and feature extraction models for high efficiency. Collaborate with cross-functional teams to integrate ML models into production systems, optimizing for latency, accuracy, and power consumption. Benchmark and profile ML models to identify and implement optimizations for inference on embedded hardware. Research and apply cutting-edge ML techniques to improve real-time performance in resource-constrained environments. Qualifications and Skills: Master’s or Ph.D. in Computer Science, Electrical Engineering, Machine Learning, or a related field. 5+ years of experience in machine learning, deep learning, and computer vision. Extensive experience in designing and deploying optimized deep learning models for real-world applications. Proficiency in TensorFl
Dettagli
- Azienda: Swan
- Sede: Remoto
- Tipo di contratto: Tempo pieno
- Fonte: ashby
- Valido fino al: 10 ottobre 2026
Offerte simili
Come funziona la candidatura con LavorAI
- Carichi il CV una volta: LavorAI lo riscrive per ogni annuncio, in formato leggibile dagli ATS.
- Scegli ruoli e città: ogni giorno troviamo le offerte compatibili e prepariamo la candidatura.
- Le risposte dei recruiter arrivano nella tua Inbox e sulla tua email.