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, validation, and performance optimization. Evaluate novel deep learning architectures (CNNs, RNNs, Transformers) for radar data analysis and optimize models for real-time embedded deployment under latency, memory, and power constraints.…See more Bridge research and production by translating state-of-the-art ML techniques into scalable algorithms for radar-based detection, classification, and tracking, with strong requirements in signal processing, statistical analysis, and Python/PyTorch/TensorFlow proficiency.

Sr. SQA Engineer responsible for designing, developing, and executing comprehensive test plans for Pyxa™ Instrument software, including thick-client C# applications, web and cloud applications, and bioinformatics pipelines.…See more The role involves functional, regression, integration, and performance testing of software interfacing with hardware systems, test automation using tools like Selenium and NUnit, defect tracking in Azure DevOps, and collaboration across software, mechanical, electrical, systems, and bioinformatics teams. Requires 6–8 years of SQA experience, ideally with genomics pipelines and cloud applications, proficiency in Windows/Linux/Azure environments, and strong automation and problem-solving skills.

Sr. SQA Engineer will design, develop, and execute comprehensive test plans for thick-client C# applications, web applications, cloud applications, and bioinformatics pipelines.…See more Responsibilities include functional, regression, integration, and performance testing on software interfacing with hardware systems; automating test cases using tools like Selenium and NUnit; identifying and tracking defects in Azure DevOps; and collaborating with software, mechanical, electrical, and bioinformatics engineers. Requires 6–8 years of SQA experience, preferably with genomics pipelines and cloud applications; strong proficiency in Windows, Linux, and Azure; and expertise with test automation frameworks.

Design, develop, test, and maintain scalable backend applications and services using Python for an enterprise technology organization. Build RESTful APIs, optimize application performance, and work with databases and cloud platforms.…See more Collaborate with DevOps teams on CI/CD and production support, participate in code reviews, and mentor junior developers within an Agile environment.

Develop and maintain user-facing applications, dashboards, and workflows within Palantir Foundry, building interactive visualizations and analytics tools that transform complex data into actionable insights. Collaborate with Solutions Architects and data engineers to understand data pipelines and surface data effectively; work directly with Navy stakeholders to gather requirements and iterate on designs.…See more Implement frontend components using Foundry's Workshop, Slate, or similar tools; write and optimize SQL and Python queries to retrieve and transform data. Ensure applications meet usability, performance, and security standards while participating in Agile ceremonies and supporting testing and deployment in production.

The Senior Machine Learning Engineer will design and develop advanced ML models for automotive radar signal processing, including end-to-end pipelines from data preprocessing through model training and optimization. The role requires expertise in deep learning architectures (CNNs, RNNs, Transformers), radar signal analysis, and deploying models for real-time embedded systems with constraints on latency, memory, and power.…See more Responsibilities include evaluating state-of-the-art ML techniques, optimizing models for production, and translating research into scalable algorithms. The position demands a Master's or PhD in a quantitative field, 3+ years of ML research experience, strong proficiency in Python and frameworks like PyTorch or TensorFlow, and foundational knowledge of radar fundamentals.

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.