Senior Staff Technical Data Analyst responsible for data exploration, quality assessment, and governance across Finance Technology initiatives, including AI/ML pipelines and SOX-compliant financial reporting. Design and build end-to-end BI solutions using SQL, Python, Qlik, Databricks, and Tableau while identifying where GenAI and agentic approaches can modernize financial controls, anomaly detection, and self-service analytics.… Partner with Finance stakeholders (FP&A, Accounting, Revenue) to translate business requirements into technical solutions, and mentor junior analysts on craft standards for data quality and documentation. Requires 10+ years in data analytics or BI supporting Finance, Accounting, or regulated compliance functions, with proven expertise in cloud data platforms, data governance frameworks, SOX controls, and active hands-on experience with generative AI tools.
machine-learning jobs in San Diego
Data Analyst role focused on supply chain performance and insights at a global medical device company. The analyst will build dashboards and reporting solutions using Tableau/Power BI, query large datasets with SQL, and develop self-service and AI-enabled analytics capabilities to support distribution, logistics, and supply chain stakeholders across multiple regions.… The role requires 3+ years of analytics experience, strong Excel and SQL skills, demonstrated AI literacy, and the ability to translate business questions into actionable insights. Candidates should be comfortable supporting global teams across time zones and identifying operational trends that drive decision-making.
Lead a team of security engineers (staff, senior staff, principal levels) owning product security across Intuit's ecosystem, including security reviews, design consults, and risk evaluations. Transform security processes from manual to automation/agent-first, defining baseline controls and security standards for cloud platforms (AWS, GCP, Azure) while raising the bar for AI/agentic systems.… Partner with business and engineering leaders to surface risks early, inform decisions, and drive adoption of security controls across large organizations. Requires 8+ years in security engineering, 3+ years managing managers, deep technical expertise in application security and threat modeling, and demonstrated experience rebuilding security programs with hands-on automation.
Design, develop, and optimize machine learning systems for production AI platforms, focusing on model development, inference optimization, and scalable ML infrastructure. Responsibilities include building ML pipelines and frameworks, optimizing model inference for latency and cost, integrating LLMs into APIs and microservices, and designing data pipelines for preprocessing and feature engineering.… The role requires strong software engineering fundamentals combined with deep ML expertise, working across PyTorch/TensorFlow, model-serving systems, distributed computing, and GPU environments.
Design, develop, and optimize production machine learning systems including model development, inference optimization, and scalable ML infrastructure. Build end-to-end ML pipelines from training through deployment, optimize model inference for latency and cost, integrate LLM/ML models into APIs and microservices, and engineer data pipelines for preprocessing and validation.… Requires strong software engineering fundamentals with deep ML expertise, proficiency in Python and systems languages, and experience with ML frameworks, model serving, and distributed computing.
Senior Technical Integration Lead responsible for integrating machine learning and AI capabilities into operational defense software systems. The role requires expertise in modern software architecture (MOSA, API-first, edge computing), DevSecOps, CI/CD practices, cybersecurity frameworks (RMF), and product management principles.… The person will work across Government and development stakeholders at NIWC-Pacific, managing rapid capability delivery and iterative acquisition approaches within secure, on-site environments.
This is a paid summer internship for undergraduates or graduate students to design, develop, and enhance automated test frameworks and AI-powered testing solutions for medical device software. The role involves developing automation scripts in languages like C#, Python, or Java; supporting AI agents and generative AI/ML technologies for test automation; executing test suites and analyzing results; and troubleshooting software, hardware, and integration issues across cross-functional teams.… Candidates should have at least 3 years of study in Computer Science, Software Engineering, or related fields, with hands-on experience in one or more programming languages and source control systems.
Build and ship production ML systems end-to-end for autonomous medical coding in a SaaS platform, from problem framing through deployment and monitoring. Own the full lifecycle—data discovery, feature engineering, training, evaluation, and iteration—working with LLMs, deep learning, and modern MLOps tooling to handle millions of medical charts daily.… Design robust, low-latency architectures, establish rigorous evaluation strategies, and implement model observability, drift detection, and bias assessments. Collaborate across product, data, and platform teams to translate business goals into measurable ML outcomes.
Senior Staff Engineer to develop end-to-end embedded AI software for deploying generative AI models on Qualcomm's edge AI accelerators. You will design and optimize ML/AI software stacks, kernels, and runtime software for power and memory efficiency, collaborate with hardware teams on new ML operators, and build debugging/profiling tools and SDKs.… Requires 6+ years of hardware, software, or systems engineering experience (or equivalent with advanced degree) and strong expertise in machine learning frameworks, neural network training/quantization, and languages like Python or C++.
Experienced System Administrator to support and maintain DoD technology infrastructure, systems, and networks in a Department of Defense environment. The role involves monitoring performance, troubleshooting complex issues, deploying and sustaining AI/ML applications and their computing environments, maintaining DoD cybersecurity controls, and serving as a technical liaison between Greystones, Navy/DoD customers, internal teams, and OEMs.… Requires 10+ years of systems/network/IT administration or systems engineering experience, a Bachelor's degree in IT/Computer Science/Engineering (or equivalent military experience), active Secret clearance, and understanding of AI/ML concepts and platforms.
Join Amazon Private Brands' Selection Guidance team as a Data Scientist II to develop generative AI, machine learning, and statistical solutions for product assortment and business decisions. You will investigate business problems, invent novel solutions and prototypes, and guide other scientists on their designs and implementations.… Current research areas include named entity recognition, product substitutes, pricing optimization, agentic AI, and large language models. You'll partner with business stakeholders, perform data analysis and build pipelines, deploy production software, and publish research across Amazon.
As a Data Scientist II, you will partner with business stakeholders to frame and solve private brands product assortment and pricing problems using generative AI, machine learning, and statistical modeling. You'll investigate business problems using data, invent novel solutions and prototypes, and deploy production software while reviewing and guiding science solutions across the team.… The role requires strong expertise in data querying, machine learning, statistical modeling, and the ability to communicate complex concepts and publish research both internally and externally.
Support large-scale 4G LTE and 5G NR modem validation and software integration by monitoring wireless test infrastructure, performing technical triage and failure analysis, and developing Python-based automation tools and AI-enabled workflows. Analyze logs, crash dumps, and test results to identify issues; develop and execute integration test strategies for functional and system-level validation of MPSS images across platform bring-ups and feature releases.… Collaborate with cross-functional teams to improve platform reliability, generate operational metrics, and support on-time delivery of modem release milestones.
Lead end-to-end AI platform architecture and infrastructure at enterprise scale, designing and implementing generative AI capabilities including LLMs, RAG systems, and agentic AI with a focus on model serving, inference optimization, and production deployment. Establish MLOps/LLMOps best practices, build automated CI/CD pipelines tailored for AI/ML applications, and architect vector database integration and cloud AI/ML services.… Mentor engineering teams, drive cross-functional collaboration between software, product, and data teams, and continuously evaluate and optimize AI platform performance, scalability, and reliability.
Verification Software Engineer at Qualcomm's Modem/Chiplet Validation & Emulation team, responsible for developing system-level validation content and automation frameworks for SoC silicon across pre- and post-silicon phases. The role requires low-level programming in C/C++, Python, and Assembly, combined with hardware-software co-debug across modem, RF, and SERDES interfaces, performance/power analysis, and lab debug tools (JTAG, logic analyzers, oscilloscopes).… Engineers will design scalable test frameworks, bare-metal validation content, and infrastructure for functional, concurrency, and stress testing, with exposure to cutting-edge mobile and data-center SoCs.
Principal System Architect responsible for designing and maintaining a complex enterprise automation ecosystem spanning RPA, Machine Learning, and GenAI across multiple business units. The role requires architecting data pipelines integrating diverse systems (SAP, ERP, QMS, PLM tools like Windchill), leading automated workflow solutions (ECPs, QA defect prediction, EVMS reporting), and ensuring end-to-end cybersecurity compliance with DoD standards, CMMC, and Zero Trust architectures.… This is a senior technical leadership position requiring 14+ years of IT system architecture experience, deep expertise in intelligent automation and ML/AI, and the ability to mentor teams and present technical strategies to executive stakeholders.
Mid-level software engineer building AI/ML capabilities for a defense customer. You'll develop NLP and machine learning pipelines in Python (text analytics, topic modeling, embeddings, entity extraction), design knowledge graphs and network-analysis tools, develop collaborative TypeScript front-end applications, and deploy APIs and production systems.… Requires 4+ years Python development or equivalent front-end experience plus 2 years Python, hands-on NLP/ML experience, and ability to work with limited supervision.
Design, develop, and optimize Windows camera drivers and imaging solutions on Qualcomm Snapdragon platforms, including kernel-mode and user-mode drivers, camera frameworks, image signal processing, and AI-enhanced features. Collaborate with OEMs, hardware teams, silicon engineers, and Microsoft to deliver high-quality camera experiences.… Lead camera sensor bring-up, debug complex system and hardware issues across the camera stack, and mentor junior engineers while influencing architecture decisions.
Design and architect RISC-V System-on-Chip (SoC) platforms, leveraging deep expertise in heterogeneous compute, interconnect, memory systems, security, and power management. Develop and improve analysis tools including functional/performance simulators and profilers using C++ and Python.… Apply systems engineering rigor to define SoC-level architectures across boot, debug, timebase management, and real-time control components. Candidates should have 4+ years of systems engineering or SoC/IP architecture experience and demonstrate proficiency in behavioral/performance modeling and analytical techniques.
Design, develop, and optimize Windows camera drivers and imaging solutions for Qualcomm Snapdragon platforms, working across kernel-mode and user-mode drivers, image signal processing, and AI-enhanced camera features. Lead camera sensor bring-up, hardware integration, and debug complex issues across the camera stack.… Collaborate with OEMs, hardware teams, silicon engineers, and Microsoft to deliver high-quality camera experiences. Mentor junior engineers and influence camera architecture decisions across product generations.
Senior technical leader responsible for integrating AI/ML systems into secure, scalable DoD-compliant environments. Will architect AI system deployments, establish DevSecOps practices, ensure compliance with RMF/NIST 800-53/DISA STIG standards, and provide technical guidance across engineering teams.… Requires deep expertise in AI/ML production systems, containerization, CI/CD, and cybersecurity controls, with hands-on experience in Python, Kubernetes, and modern infrastructure tooling.
Lead a team of data scientists at Insulet's Analytics Center of Excellence, managing the execution of global analytics and AI initiatives while maintaining hands-on expertise in data science work. You will mentor scientists, guide development of cloud-based analytics pipelines and automated machine learning solutions, and coordinate with cross-functional stakeholders across R&D, clinical, quality, and manufacturing to identify and deliver high-value data science opportunities.… The role requires a Master's degree with 5+ years in data science (or PhD with 3+), 2+ years in machine learning/AI, direct team management experience, and proficiency in Python/R, SQL, cloud platforms (Azure/AWS/GCP), and big data technologies like Spark/Databricks. You'll perform statistical analysis, predictive modeling, and communicate insights to executives while owning the data products portfolio and managing annual budgets.
Senior Data Engineer at Sony to design, build, and maintain scalable data pipelines, dashboards, and reporting solutions supporting PlayStation's payments, subscription, and fraud-prevention systems. Will develop AI-ready data products for analytics, automation, and machine-learning workflows in close partnership with data scientists, analysts, and global payments stakeholders.… Requires 7+ years in data engineering or related software/systems work, strong SQL and data modeling, proficiency in Python/Java/scripting languages, and experience operationalizing data for ML and governance. Will mentor team members, communicate technical architectures to executives, and drive platform reliability and security.
Staff Data Engineer at Qualcomm responsible for designing, building, and maintaining scalable batch and streaming data pipelines on AWS and Databricks. Develop reusable data engineering frameworks, libraries, and templates while implementing AI-driven automation for schema inference, data quality checks, pipeline orchestration, and self-healing mechanisms.… Lead reliability and operations efforts by defining SLIs/SLOs, participating in incident response, and driving performance tuning and cost optimization. Mentor junior engineers, collaborate across analytics and platform teams, and drive adoption of standardized data frameworks and best practices.
Senior engineer responsible for designing, building, and optimizing large-scale AI platforms for wireless, 5G, and connected devices. You will architect end-to-end AI/ML pipelines, integrate models into chipsets and cloud/edge environments, and deliver scalable inference services, tools, and SDKs.… Key responsibilities include model deployment, performance tuning on heterogeneous hardware, MLOps automation, and monitoring across silicon, software, and product teams.