numpy jobs in San Diego

Design and develop advanced machine learning models for automotive radar signal processing, including end-to-end ML pipelines from data preprocessing through model training and optimization. Evaluate novel deep learning architectures (CNNs, RNNs, Transformers) applied to radar data in time-domain, frequency-domain, and range–Doppler representations.…See more Optimize models for real-time embedded deployment under latency, memory, and power constraints, and translate research outcomes into scalable, production-ready algorithms. Requires a Master's or PhD in a quantitative field, 3+ years of ML research experience, strong radar and signal processing fundamentals, and proficiency in Python, PyTorch/TensorFlow, and cloud platforms.

Senior Engineer, Machine Learning at Element Biosciences will design, develop, and optimize deep learning models (CNNs, Vision Transformers, U-Net) for biological image analysis and deploy them to production on AWS or imaging instruments. Responsibilities include building end-to-end ML pipelines from data ingestion through inference, applying advanced image processing and computer vision techniques to multimodal biological images, and analyzing single-cell and multiomic data.…See more The role requires 5–7 years of experience with a Master's degree (or 0–3 years with a PhD) and hands-on proficiency in PyTorch, Python, and cloud deployment, with strong preference for experience in biomedical image modalities.

Principal Machine Learning Engineer at AppFolio to architect and lead mission-critical AI systems across the Realm-X property management platform. You'll design advanced AI agentic systems combining reasoning, planning, and execution; establish ML platform primitives for end-to-end production workflows; and drive the transition toward autonomous property management using LLMs, fine-tuning, and reinforcement learning.…See more Requires 10+ years building software systems with deep expertise in traditional ML, deep learning, generative AI, LLM post-training (SFT, RLHF, DPO, RL), and production ML at scale—plus a Master's or Ph.D. in Computer Science or related field.

Lead hardware and firmware integration for Tesla's cell manufacturing equipment, performing system validation from PCBA design through production deployment. Debug complex HW/SW interactions across power electronics and battery systems, create automated test infrastructure, and drive root-cause analysis on field escalations.…See more Partner cross-functionally with electrical, manufacturing, and process engineering teams to ensure functional, performance, safety, and reliability requirements are met across Formation and Cell Qualification equipment.

Join Singular Genomics' core software team as a generalist Software Engineer contributing to the sequencing analysis pipeline, operational tooling, and field support. You'll work across Python development, CI/CD infrastructure (Jenkins, Bitbucket), HPC job execution, and diagnostic troubleshooting of production failures on genomic sequencers.…See more Responsibilities include pipeline bug fixes and features, build system maintenance, field triage, data handling logic, and developing lightweight web services and internal APIs. You need 2–5 years of professional experience, solid Python fundamentals, Linux/HPC familiarity, and the ability to debug and move fast across a large, real production codebase.