data-science jobs in San Diego

Design and build large-scale multimodal foundation models that integrate high-dimensional biomedical imaging with molecular and language data. You will implement cross-domain data fusion strategies, develop high-performance ML pipelines for petabyte-scale datasets, and collaborate with scientists and engineers to translate biological complexity into scalable, production-ready code.…See more The role requires deep expertise in Computer Vision architectures, distributed training frameworks, and expert Python proficiency. You will contribute through high-impact publications or open-source work and demonstrated ability to handle the noise and sparsity inherent in biological data.

As a Product Software Engineer, you will develop and integrate software for Qualcomm products spanning smartphones, computing devices, automotive infotainment, and IoT systems. You will own software integration tasks including component integration, build automation, version control management, and baseline releases.…See more You will perform sanity testing on-target and in simulation environments, debug failures using tools like JTAG and ADB, automate test scenarios, and collaborate with cross-functional engineering teams on design and code reviews.

Qualcomm seeks a Machine Learning R&D leader to design and deliver Agentic AI systems for hardware design automation. The role combines hands-on technical execution with team leadership, requiring deep expertise in generative AI, large language models, and ML/AI product development.…See more Responsibilities include architecting end-to-end ML solutions, coaching an interdisciplinary team of researchers and engineers, and bridging research prototypes into production design tools. The ideal candidate brings PhD-level credentials, 2+ years of industry ML/GenAI experience, and proven expertise in agentic AI frameworks, foundation models, and complex ML software pipelines.

This intermediate-level role develops AI-enhanced decision systems for government sponsors, applying machine learning, large language models, and decision science to mission-critical problems. You will design, prototype, and evaluate AI solutions in cross-functional teams, lead R&D initiatives, and work hands-on with modern AI techniques including deep learning, reinforcement learning, generative AI, and multi-agent systems.…See more The role requires 2+ years of hands-on ML experience (or 1 year with a Master's degree) and proficiency in Python and/or C++, with the ability to communicate complex technical concepts to both technical and non-technical audiences.

Business Systems Analyst responsible for architecting and maintaining custom automation tools across the Google ecosystem (Apps Script, Sheets, Docs, Forms) and integrating third-party platforms like Asana, HubSpot, Slack, and Looker Studio. You will identify and build production AI workflows using LLMs (Gemini, Claude, ChatGPT) for tasks like client feedback categorization and document parsing, while eliminating manual data entry and automating end-to-end processes such as client onboarding and reporting pipelines.…See more You'll drive adoption through documentation, training, and governance, and partner with IT on infrastructure and access controls. The role requires translating vague business problems into shippable solutions, challenging stakeholders on process redesign vs. automation, and shipping high-impact MVPs iteratively.

Design and optimize video analysis, quality assessment, and encoding algorithms for hardware-accelerated video codec solutions (FPGA/ASIC). Develop C-models and firmware for real-time video processing, implementing algorithms for ROI detection, content understanding, frame-level rate control, and objective quality metrics.…See more Collaborate with infrastructure and platform teams to integrate algorithms into production VOD and live-streaming workflows, validate performance through A/B testing, and optimize end-to-end video quality. The role requires strong programming skills in C/C++ or Python, knowledge of video quality standards (VMAF, PSNR, SSIM), and ideally experience with deep learning frameworks, video codecs, or embedded real-time systems.

Configuration Management Analyst supporting Naval Air Systems Command at NAS North Island, responsible for developing and maintaining configuration management systems, CM plans, and cybersecurity toolsets for RDT&E lab environments. Duties include lifecycle management of hardware and software configuration items, maintaining a configuration management library (lab accreditation artifacts, change control, network diagrams, incident reports), and collaborating with IT operations to ensure accurate configuration information.…See more Requires 3+ years of configuration management experience, proficiency with Atlassian Jira, Microsoft SharePoint, Planner, Office 365, and Power Apps, plus strong organizational and analytical skills.

Junior AI Software Developer supporting Navy cybersecurity and mission operations in San Diego. You will participate in problem discovery with mission stakeholders, contribute to technical solution design, and deliver hands-on implementation of scripts, APIs, automation, and AI/LLM-enabled workflows.…See more Work involves integrating systems via REST/HTTP APIs, writing and testing Python code, using version control, and documenting technical solutions for both technical and non-technical audiences while adhering to RMF, security controls, and responsible AI practices in classified or controlled environments.

Senior AI Software Developer who will design, implement, and integrate AI/LLM-enabled solutions and automation for Navy cybersecurity and mission workflows. You'll work in small, multidisciplinary teams translating mission requirements into technical approaches, delivering hands-on code (Python, APIs, data integration), and ensuring solutions align with RMF, security controls, and compliance boundaries.…See more The role blends advisory conversations with focused implementation of secure, deployable systems that reduce cyber risk and improve operational efficiency. Success requires 4+ years of software development or integration experience, Python proficiency, API and data store expertise, cloud or enterprise deployment knowledge, and ability to communicate across technical and non-technical stakeholders.

As a client-facing data analyst, you'll work with Department of the Navy clients to understand their data needs, transform complex structured and unstructured data into actionable insights, and advise on how findings impact DoD acquisition programs and IT modernization. You'll use tools like Tableau, Python, R, or SQL for data manipulation; Databricks or Spark for data engineering; and Power Apps/Power Automate for automation.…See more You must hold or be able to obtain a Secret clearance and have 4+ years of DoD client experience.

As a Cybersecurity Engineer and Risk Analyst, you will develop and implement security solutions to protect military systems, performing vulnerability assessments, risk analysis, and security compliance testing across networks, systems, and applications. You'll work with DoD Risk Management Framework (RMF) processes, manage security assessment and authorization activities, and use tools like eMASS, ACAS, and STIG scanning to identify threats and implement infrastructure controls.…See more The role requires 4+ years of IT experience with a DoD or government agency, 4+ years leading Navy RMF activities, and 3+ years implementing security controls and performing vulnerability remediation. You'll communicate security complexities to technical and non-technical audiences while supporting critical Navy mission areas.

Senior individual contributor responsible for end-to-end demand forecasting across Intuit's Global Business Solutions Group portfolio. Build and maintain predictive models incorporating time-series analysis, regression, causal inference, and ML techniques to translate business signals into accurate, decision-ready demand forecasts at multiple granularities.…See more Conduct A/B/n experiments to validate modeling choices, quantify forecast risk through scenario analysis, and act as trusted partner between technical teams and business stakeholders (Workforce Management, Capacity Planning, Finance, Marketing, Product) to ensure forecasts drive downstream capacity and expense planning. Continuously advance forecasting methodology, evaluate where AI/ML meaningfully improves accuracy, and support real-time in-season re-forecasting and analytics.

An AI Software Developer at Booz Allen Hamilton will design, implement, and integrate AI-enabled automation and analytics solutions for Navy cybersecurity and mission workflows. The role requires hands-on Python development, API integration, and secure system design in classified or controlled environments, with close collaboration between cybersecurity specialists, engineers, and mission stakeholders.…See more Success demands translating mission requirements into technical tasks, delivering credible implementations (not slide-only recommendations), and operating within RMF, compliance, and secure engineering practices. The ideal candidate combines software engineering rigor (version control, code review, testing) with AI/LLM experience and the ability to work in small, structured teams on multidisciplinary problem-solving.

Join Axos Bank's Data Engineer Rotational Program as a first-career technologist gaining multi-platform exposure in data engineering. You will focus on SQL-based solutions, creating SSIS packages for data transformation, writing and maintaining SQL jobs and stored procedures, and performing data quality validation and testing.…See more Through rotations across database development, data quality, and business intelligence reporting, you'll develop enterprise-level solutions while working with cross-functional teams on Salesforce, Marketing Cloud, and omnichannel platforms. The role requires a bachelor's degree in IT, Computer Science, or related field, with basic to intermediate SQL Server knowledge.

As a Sr. Staff Software Engineer on Qualcomm's AI Software team, you will design and develop the Qualcomm AI Runtime (QAIRT) SDK for IoT platforms, enabling efficient execution of deep neural networks, LLMs, and modern AI architectures.…See more You will lead feature development, mentor junior engineers, and collaborate across cross-functional teams to deliver scalable AI software solutions. The role requires 8+ years of software development experience with strong C/C++ and Linux proficiency, hands-on technical leadership, and the ability to keep pace with rapid industry and academic advances in machine learning and software engineering.

Senior Software Engineer/Research Scientist applying advanced mathematical and algorithmic expertise to defense technology development. Responsibilities include algorithm development in probability, statistics, estimation theory, machine learning, and optimization; designing and maintaining C++ software applications in Linux environments; prototyping AI/ML solutions in MATLAB, Python, and TensorFlow; and managing DevOps workflows using GitLab, Docker, and Podman.…See more Requires 10+ years of engineering experience, a B.S. in engineering/mathematics, and ability to obtain a DoD Secret clearance.

Design and implement software integrations connecting lab automation infrastructure (liquid handlers, plate readers, robotic workstations, analytical instruments) with orchestration layers and digital workflows. Build production-grade Python applications and containerized services using Docker and Kubernetes, deploy CI/CD pipelines, and maintain LIMS integrations.…See more Explore AI-driven decision-making and autonomous orchestration capabilities, staying current with LLM tooling and agent frameworks. Provide technical leadership and mentorship to the automation engineering team while shaping the roadmap for closed-loop autonomous discovery systems.

As an AI Software Engineer at Qualcomm, you will develop and optimize machine learning software for the Qualcomm AI Stack (QAIRT and Genie SDKs), enabling efficient execution of large language models and deep neural networks on Snapdragon platforms. You will validate and optimize performance of generative AI models, debug complex issues, and collaborate across teams to deliver robust AI solutions.…See more The role requires strong software design, programming, and debugging skills, with expertise in machine learning frameworks, embedded systems optimization, and languages like Python or C++. You will work with minimal supervision, participate in design reviews, and contribute to a culture of technical excellence.

Design, build, and scale ETL/ELT pipelines and cloud data warehouse infrastructure using Python, SQL, and modern orchestration tools like Apache Airflow or Prefect. Own the end-to-end data infrastructure that powers business intelligence and operational reporting, including data quality checks, anomaly detection, and performance optimization.…See more Collaborate with analytics and software engineering teams to define data modeling standards and maintain infrastructure-as-code deployments using Terraform and CI/CD. Requires 3–6 years of data engineering or backend development experience with advanced SQL, Python, and hands-on work with cloud data warehouses like Snowflake or BigQuery.

Senior Applied AI Engineer at West Health will design, build, and deploy production-quality AI-powered tools and workflows using large language models, multi-agent architectures, and orchestration platforms. The role involves building intelligent automation pipelines with tools like n8n, LangChain/LangGraph, and Microsoft Copilot Studio, integrating AI capabilities with existing data infrastructure (Snowflake, Python), and conducting data analysis to identify high-impact AI opportunities.…See more The ideal candidate combines deep practical expertise in applied AI with the ability to rapidly move from concept to fully working, well-documented applications that create measurable value for healthcare delivery and senior care initiatives.

Senior Database Engineer II will build and maintain scalable data pipelines using Azure Data Factory, Databricks, Azure Synapse Analytics, and Snowflake. The role requires designing and implementing conceptual, logical, and physical data models, leading system integration efforts, and architecting multi-tenant database solutions for the medical device industry.…See more You'll provide technical leadership on data engineering standards, conduct code and design reviews, and collaborate across geographically dispersed teams in an Agile environment. The position demands 7+ years of database design and software development experience, with a strong focus on healthcare compliance and data governance.

Design and develop advanced Power BI dashboards using DAX, Power Query, and complex data modeling techniques. Consolidate and transform data from APIs, files, and SQL databases into reliable reporting models using ETL workflows with SSIS and T-SQL.…See more Build scalable reporting solutions and partner with business users to translate requirements into technical implementations in a fast-paced, multi-project environment. Requires 3+ years of hands-on experience with DAX, Power Query, T-SQL, SSIS, and strong SQL development skills including stored procedures and query optimization.

Lead end-to-end development of AI agents and autonomous engineering tools for Teradata's enterprise platform, managing multiple global engineering teams. Shape engineering strategy for agent platforms, LLM gateways, vector stores, observability frameworks, and low-code/no-code/pro-code agent frameworks.…See more Drive architecture standardization, governance practices, operationalization pipelines, and ROI metrics while partnering with product, architecture, and AI platform teams. Requires 12+ years software engineering experience with 5+ years in technical leadership, hands-on expertise with LLMs, agent frameworks, distributed systems, cloud platforms (AWS, Azure, GCP), and modern CI/CD tools.

Design, build, and maintain enterprise data pipelines using Microsoft Fabric and Azure Synapse, handling ingestion, transformation, and orchestration from ERP and supply chain systems. Develop and manage Fabric Lakehouse and Warehouse architectures, apply data modeling best practices, and ensure data quality and reliability.…See more Collaborate with analytics, BI, and IT teams to create governed, scalable analytical data assets that support Power BI and downstream consumers. Requires a bachelor's degree in a quantitative field, strong SQL and Python skills, and hands-on experience with Microsoft Fabric and Azure Synapse.

Lead the entire engineering team at a VC-backed AI trading firm, combining hands-on ML research and model development with technical leadership. Own the end-to-end development of production AI systems deployed in live financial markets, including model design, training, evaluation, and infrastructure.…See more Set technical direction across ML and software engineers, drive hiring and team development, and translate research into measurable real-world trading performance. Require 5–8 years of applied ML/AI experience with 3+ years managing full engineering teams.