machine-learning jobs in San Diego

Senior Machine Learning Engineer to design and ship production voice and conversational AI agents within AppFolio's Realm-X platform. You will architect real-time, multi-turn agent pipelines that balance reasoning depth against latency, lead a small pod of ML and platform engineers, and define quality metrics and evaluation harnesses.…See more Required expertise includes shipped production experience with agent frameworks (LangChain, LangGraph), voice stacks (STT/TTS/Voice-to-Voice models), LLM reasoning and tool use, Twilio, AWS, expert Python with async and WebSocket streaming, and demonstrated team leadership.

Build applied AI systems for Crucible, Firestorm's manufacturing operations software. You'll productionize ML and optimization models, integrate foundation models and LLMs into workflows, and design end-to-end AI capabilities—from model selection and evaluation through reliable production deployment across cloud, air-gapped, and edge environments.…See more This is a hands-on engineering role requiring 5+ years shipping production ML/AI systems, strong Python and software engineering fundamentals, and deep experience with LLMs, transformer models, and production ML monitoring.

Design, develop, and optimize modem firmware and software for 5G-Advanced and early 6G protocol stacks on Qualcomm's Snapdragon chipset. Work across L1/L2/L3 protocol layers to implement 3GPP-compliant features, develop real-time scheduling and resource management algorithms, and use custom scripting to dynamically reconfigure modems based on network conditions and AI-driven signals.…See more Requires strong C/C++ embedded systems expertise, real-time OS experience (RTOS), wireless communication principles, and the ability to debug complex field issues and optimize performance in latency-critical environments.

Staff Quality Analyst role responsible for building dashboards and analytics that surface defect signals and drive leadership decision-making at scale. The role combines hands-on data analysis (SQL, Python, statistics) with AI-native workflows to accelerate defect detection and root cause analysis, plus structured change management to land measurement and process changes across large stakeholder groups.…See more Required skills include strong SQL/Python proficiency, applied statistics, experience with defect frameworks (DPMO), contact center operations familiarity, and demonstrated ability to communicate data findings credibly to executives and manage organizational change.

Senior Software Engineer role focused on building and scaling full-stack client and internal servicing applications for millions of homeowners. You'll own features end-to-end—from problem definition through design, implementation, deployment, and iteration—using AI as a core part of the development workflow.…See more The role requires 5+ years of production full-stack experience with Next.js/React front ends, NestJS GraphQL integration, and AWS/EKS infrastructure. You'll work across distributed teams, mentor engineers, and help define AI-native engineering practices.

Design, develop, and optimize modem firmware and real-time embedded software for 5G/6G protocol stacks (L1/L2/L3) on Qualcomm's Snapdragon chipset, implementing 3GPP-compliant features and real-time scheduling algorithms. Work across protocol layers to develop adaptive algorithms that respond to network conditions and AI-driven optimization signals, and architect frameworks enabling OEM and operator partners to deliver differentiated wireless experiences.…See more Debug complex field issues using protocol logs and trace tools, write and maintain unit and integration tests, and collaborate with systems, architecture, and hardware teams on modem bring-up and performance optimization. Requires strong C/C++ foundation, deep wireless communication principles knowledge, embedded systems expertise, and familiarity with real-time operating systems.

Staff Software Engineer role leading technical strategy and architecture for TurboTax and Tax Experiences products at Intuit. You'll drive end-to-end technology initiatives across customer-facing and backend systems, architecting highly scalable applications that handle massive seasonal traffic while integrating AI capabilities like intelligent guidance and document extraction.…See more Responsibilities include setting technical direction, mentoring engineers, designing resilient distributed systems, and collaborating cross-functionally with product, design, data science, and compliance teams to solve complex tax fintech problems at scale.

A Forward Deployed Data Engineer will lead discovery workshops with North American fleet management customers to understand their business problems, then translate those into scoped data, analytics, and AI solutions. You'll own engagements end-to-end—from scoping and estimation through prototype development and delivery—working closely with Sales, Product, and Engineering.…See more The role requires 5+ years of hands-on data engineering or analytics engineering, strong SQL and Python skills, depth with Snowflake or equivalent cloud data warehouse, dbt or similar transformation frameworks, and proven ability to present technical findings to executive stakeholders.

Principal Software Engineer role on Qualcomm's Cloud AI team focused on LLM serving and inference acceleration. The engineer will design, optimize, and deploy high-performance software across the product lifecycle, from R&D through commercial deployment, with expertise in serving frameworks (vLLM), PyTorch, neural network optimization, and multi-core/SoC architecture performance modeling.…See more Strong C++/Python development skills, deep LLM/multi-modal model understanding, and experience with machine learning accelerators are required; experience with compiler technology, performance analysis, and commercial software delivery at scale is essential.

Staff Machine Learning Engineer to drive AI/ML-based automation across Qualcomm's Automotive SoC Cybersecurity and Safety engineering. The role focuses on building intelligent, scalable solutions using LLMs, GenAI, and agentic AI systems to streamline cybersecurity workflows, functional safety processes, and silicon verification.…See more Responsibilities include designing end-to-end ML pipelines, developing document-understanding and review-automation systems, and applying AI to security analysis and compliance monitoring across the product development lifecycle. Required: strong ML/AI background, Python or C++ proficiency, production ML experience; preferred: knowledge of automotive standards (ISO/SAE 21434, ISO 26262), hardware security, or RTL/verification workflows.

Qualcomm seeks an embedded software engineer to design, develop, and validate real-time sensors software for mobile and IoT devices. You will architect scalable, high-performance systems integrating sensors, audio, location, camera, and connectivity technologies, working cross-functionally with hardware and systems teams.…See more The role requires proficiency in C/C++, embedded RTOS, Linux/Android, and software debugging tools, with potential contributions in digital signal processing, machine learning, and AI. You will manage complex projects independently, optimize performance, and produce technical documentation while ensuring architectural decisions align with business and technical requirements.

Lead discovery workshops with North American fleet management customers to translate business problems into scoped data, analytics, and AI solutions. Own customer engagements end-to-end—from discovery through delivery—including scoping, estimates, and risk management.…See more Build and prototype applied AI use cases, present findings to technical and executive stakeholders, and work closely with Sales, Product, and Engineering teams. Requires 5+ years of hands-on data engineering or analytics engineering experience, strong SQL proficiency, cloud data warehouse expertise (Snowflake preferred), Python or equivalent programming language, dbt or transformation framework experience, and demonstrated comfort presenting to executive audiences.

Research Programmer III will develop machine learning and computational methods to understand behavior and neural activity in the Kennedy Lab at Scripps Research. The role involves building and training deep neural networks for supervised, unsupervised, and reinforcement learning problems, applying computer vision for high-throughput animal phenotyping, and contributing to scientific papers.…See more Candidates must have 4+ years of software development experience in Python with demonstrated expertise in deep learning, version control (git/GitHub), and software engineering principles. The position offers opportunities to lead independent research projects on datasets from collaborating institutions and is ideal for those building toward graduate studies in computational neuroscience or machine learning.

Senior Data Architect with 15+ years of experience designing and implementing enterprise data platforms that support modern AI/ML and Generative AI applications. Must have strong hands-on expertise in ETL/ELT, Python, SQL, and enterprise data warehousing, with production experience in Treasure Data, real-time analytics, streaming pipelines (Apache Kafka), and AI-ready data architectures including RAG, vector databases, and LLM integrations (LangChain, LangGraph, Azure OpenAI, AWS Bedrock).…See more Will design batch and real-time enterprise data architectures on cloud platforms (AWS, Azure, GCP, Snowflake, Databricks) with CDC/Debezium incremental processing capabilities.

Qualcomm seeks a Software Engineer to develop power and limits management software for chipsets and SoCs. The role involves analyzing requirements, designing software solutions optimized for power efficiency, performing detailed analysis of existing software to improve performance and memory utilization, and developing profiling and debugging tools.…See more Candidates will work across pre-silicon to commercialization, collaborating with system, power, hardware, and software engineers, and may scope hardware acceleration opportunities.

Build, deploy, and continuously improve MITRE ATT&CK–aligned threat detections across cloud, endpoint, identity, email, and application telemetry. Own the full detection lifecycle from hypothesis and data validation through deployment, tuning, and retirement, advancing a detection-as-code platform with version control, peer review, automated testing, and CI/CD.…See more Evaluate AI-powered security capabilities including LLMs, anomaly detection, and response automation. Partner with Security Operations on investigations, incidents, and detection maintenance.

Qualcomm seeks a Software Engineer to develop end-to-end solutions across the Android Stack and Linux kernel, working in both user space and kernel space. The role involves collaborating with systems and architecture teams to build system-level software adhering to Android framework and Linux kernel principles.…See more Required expertise includes OS fundamentals, Linux kernel, device driver models, and hands-on experience with Java, C++, Python, Android Application Framework, native services, and debugging tools (gdb, T32, crash analysis). Experience with Linux kernel driver development and AI/ML software development is preferred.

Senior Staff Software Engineer leading a small team to develop end-to-end solutions across the Android stack and Linux kernel, working on both user space and kernel space components. The role requires deep expertise in operating systems, Android frameworks, and Linux kernel programming, with collaboration across systems, multimedia, and architecture teams.…See more Candidates must have 6+ years of software engineering experience (or equivalent with advanced degree) and 3+ years hands-on programming in C, C++, Java, or Python, with preferred experience in Android Application Framework, kernel drivers, debugging tools, and system-level programming.

Build and scale evaluation tooling to measure how well AI-powered software development tools perform. Develop evaluation harnesses, automate benchmark runs, and ensure reproducibility through versioned processes with pinned dependencies and containerized environments.…See more Validate evaluation approaches against human judgment, analyze results for variance and failure patterns, and work with engineering teams to improve automation workflows. This role requires strong software engineering foundations in automation and testing, hands-on experience with AI coding agents, and proficiency in Python, Java, or JavaScript.

As a Machine Learning Engineer at Qualcomm, you will design, develop, and deploy AI and Generative AI solutions for the Nimbus product line, focusing on network optimization, Digital Twin technologies, and LLM-based applications. You will collaborate with cross-functional engineering, product, and domain teams to translate business requirements into production-ready AI-enabled solutions, staying current with emerging AI technologies and best practices.…See more The role requires hands-on experience with model development, evaluation, deployment, and operationalization, along with strong software engineering practices for scalable and maintainable systems. You must communicate technical concepts effectively to both technical and non-technical audiences.

Staff or Senior Staff Software Engineer role leading design and development of Qualcomm's AI Stack (QAIRT/Genie) to enable efficient execution of generative AI models and large language models on low-power Snapdragon platforms. Responsibilities include developing core runtime components for resource-constrained inference systems, optimizing performance/accuracy/power consumption, debugging complex issues, and mentoring junior engineers.…See more Requires 5–8+ years of software development experience with strong C/C++ and Linux proficiency, plus knowledge of hardware acceleration and embedded AI deployment.

Build and deploy production-ready AI solutions using LLM orchestration platforms (LangChain, LangGraph, CrewAI, n8n) and agentic workflows that integrate with existing data infrastructure like Snowflake. Develop sophisticated prompt engineering and RAG systems with vector databases, conduct independent data analysis to identify AI opportunities, and translate technical work into clear insights for leadership.…See more Move solutions from concept to deployed, maintainable tools with proper documentation and intuitive interfaces. Collaborate cross-functionally with data scientists, analysts, and stakeholders to drive organizational impact.

This Staff AI Engineer role focuses on architecting and implementing secure, scalable frameworks for autonomous AI agents at enterprise scale. The engineer will lead the technical roadmap for agent management—from provisioning and orchestration to compliance and retirement—while ensuring AI agents are secure by design with built-in visibility and guardrails.…See more The role requires 8+ years of software architecture and backend systems experience, deep knowledge of autonomous agent frameworks (LangChain, AutoGen, CrewAI), and expertise in cloud infrastructure (AWS, Azure, GCP) and Kubernetes. You'll collaborate cross-functionally with researchers, platform engineers, and product teams to bring agentic AI capabilities to production while establishing best practices for agent safety, observability, and ethical deployment.

As an Applied AI & Optimization Engineer, you will own optimization algorithms and ML systems for a manufacturing intelligence platform spanning planning, simulation, and AI assistance. You'll design scheduling and resource-allocation solvers, build analytics layers for operational intelligence, and lead LLM integration for both cloud and air-gapped DoD deployments.…See more The role requires 5+ years shipping production optimization or ML systems, deep Python proficiency, hands-on experience with MILP/constraint solvers or OR-Tools, and strong applied math skills in combinatorial optimization and statistical modeling.

Lead hands-on modernization of legacy SSIS/SSRS ETL workloads into cloud-native Lakehouse pipelines using Databricks, dbt, Fivetran, and Airflow. Design and enforce standardized data frameworks (ingestion, transformation, curation, consumption), drive CI/CD and observability practices, and mentor engineers on modern data engineering patterns.…See more Evaluate emerging technologies (Delta Live Tables, Iceberg, streaming, AI-driven observability) through POCs and POVs, and leverage AI-assisted tools (Databricks Assistant, GitHub Copilot, Cursor AI) to accelerate development and reduce technical debt. Optimize Spark workloads and orchestration across Azure and GCP environments while partnering with architects, platform engineers, and business stakeholders.