As a Senior Consultant on the Cloud Cyber Risk team, you will deliver Azure cloud security engagements spanning governance, identity, application security, infrastructure, AI security, monitoring, and data protection. You will perform security assessments, solution design, implementations, and health checks across Azure, Microsoft Entra ID, and Microsoft 365 environments, working directly with clients to identify risks and recommend configurations.… You will develop technical deliverables including assessment reports, architecture diagrams, and remediation documentation. The role requires 4+ years of technical consulting or cloud security implementation experience, hands-on design and implementation in Azure or hybrid cloud environments, expertise with Azure Policy, Terraform, or JSON-based infrastructure configuration, and 3+ years with cloud security tools (CNAPP, CSPM, CWPP).
machine-learning jobs in San Diego
This is a senior cloud security consulting role at Deloitte focused on designing, implementing, and managing Azure cloud security solutions across governance, identity, application security, AI security, and infrastructure. The candidate will lead client engagements and cross-functional teams, translating business requirements into enterprise cloud security architectures and strategies, with hands-on experience designing controls for Azure AI services, CNAPP/CSPM/CWPP platforms, and infrastructure-as-code tools like Terraform.… Success requires 6+ years of technical consulting and solution architecture in Azure, 4+ years designing cloud security solutions and enterprise architectures, and deep expertise in Azure Policy, Terraform, JSON-based infrastructure, and Microsoft AI security frameworks.
As a Data Engineer at Booz Allen Hamilton, you will design, develop, and deploy data pipelines and platforms that organize disparate data sources to support mission-critical analytics workloads. You'll work with ETL operations, relational and non-relational databases, and collaborate with analysts, developers, and data scientists in an agile environment.… Required skills include Python, SQL, Git, Linux/Windows automation, and experience with pipeline development or systems administration. The role emphasizes building scalable, maintainable data infrastructure that transforms raw data into actionable insights.
Design and build secure cryptographic services—including key management, PKI, and secrets distribution—for a large-scale multi-tenant SaaS platform. Apply ML/AI techniques to detect cryptographic misuse and anomalies in near real time.… Operate services on Kubernetes, manage CI/CD pipelines, and respond to security incidents. Requires 4+ years of production software engineering experience, advanced knowledge of distributed systems and cryptographic primitives, and demonstrated security-conscious coding practices.
Design and implement computer vision features and on-device prototyping using the Snapdragon Vision API for mobile, autonomous vehicles, IoT, and AR/VR platforms. Lead CV feature development from algorithm through commercialization, collaborating with hardware, software, and product teams.… Develop technical documentation and sample materials for developer enablement. Requires 3–5 years of hands-on computer vision application development with strong C/C++ and Python proficiency and deep understanding of CV algorithms and deep-learning pipelines.
Design, develop, and optimize algorithms for image and video compression across multiple formats (2D, multiview, 360-degree, point cloud, light field). Develop novel algorithms for file formats, system architectures, and transport protocols, and contribute to multimedia standardization forums (MPEG, DASH, 3GPP, JVET, AVS).… Research image/video processing techniques and quality evaluation metrics, with responsibilities including drafting standard contributions, patent applications, and academic papers. Requires a PhD in computer science or related field, strong fundamentals in algorithms and data structures, published conference/journal papers, and experience with multimedia standards and C/C++.
This role blends data science expertise with hands-on automation engineering to design and deploy intelligent process automation solutions across business units. You will build, train, and validate both classical ML and LLM-based models — including fine-tuning and RAG — and architect end-to-end systems connecting CRM, APIs, and AI services on AWS infrastructure.… Responsibilities span solution design, CI/CD implementation with Jenkins, Python development, agentic AI capabilities, and business translation, with emphasis on measurable business outcomes and compliance.
Design and build secure cryptographic services (key management, PKI, secrets distribution) for ServiceNow's multi-tenant SaaS platform, ensuring FIPS compliance and regulated-environment requirements. Apply ML/statistical techniques to detect cryptographic misuse, anomalies in key usage, and suspicious access patterns in near real-time.… Operate services on Kubernetes, manage CI/CD pipelines, handle on-call duties, and collaborate with security architects to translate compliance requirements into production code. Requires 4+ years of production software engineering (Java, Go, or equivalent OO language), deep knowledge of distributed systems and cryptographic primitives, and hands-on Kubernetes deployment experience.
Senior AIS Analyst role overseeing Navy logistics IT systems, conducting functional analysis, operational research, and audits to support fleet readiness and supply operations. Responsibilities include testing and reviewing logistics applications (NTCSS, NOBLE, Navy ERP, etc.), system administration, user access management, troubleshooting Tier 2 support issues, and supporting data science initiatives involving machine learning and statistical modeling.… The role requires managing subordinate AIS analysts, coordinating cross-functional requirements generation and business process reengineering, and ensuring database accuracy and compliance with cybersecurity standards.
Design and optimize modem software for embedded systems, focusing on performance analysis, architectural trade-offs, and real-world workload optimization. Conduct pre-silicon evaluations, profile silicon behavior, and develop debugging and validation tools.… Apply data-driven analysis and machine-learning techniques to identify bottlenecks across multiple chipset generations and implement solutions through software optimization, cache tuning, and memory management.
Lead system-level validation strategy and test content development for Qualcomm's next-generation AI accelerator platform, spanning emulation and silicon phases. Own bare-metal software development, hardware–software integration, and multi-processor system testing with focus on concurrency, clock/power management, and low-level hardware interfaces.… Debug complex SoCs with limited visibility, support pre-silicon (simulation, emulation, FPGA) and post-silicon bring-up, and lead geographically distributed engineering teams to deliver high-quality validation solutions at scale.
Senior Embedded Software Engineer at Qualcomm's Data Center Business Unit, developing software and firmware for cloud edge and data center ML acceleration on high-performance silicon. The role requires deep embedded systems expertise including BSP, device driver development, RTOS, secure boot, TrustZone, and low-level peripheral interfaces (I2C/SPI/UART), combined with knowledge of ML frameworks and data movement optimization.… You will work on critical technologies like ML acceleration, in-memory processing, memory management, and virtualization across cross-functional international teams. Requires 2+ years of low-level C programming, proficiency with GNU/LLVM tools, embedded Linux, JTAG/SWD debugging, and multi-threaded SoC architecture understanding.
Build production AI features and workflows powered by large language models, including retrieval-augmented generation (RAG), agentic orchestration, and tool/function calling integrations. You will design and implement scalable microservices in Python or Java that connect foundation model APIs to business data and internal systems, with responsibility for AI quality, evaluation, observability, and safe deployment on AWS.… Collaborate with cross-functional teams to prototype solutions, measure outcomes, and move proven capabilities into production while maintaining reliability, security, and auditability.
Design and optimize video analysis, quality assessment, and encoding algorithms for hardware-accelerated video codec solutions (FPGA/ASIC). Develop C-models and firmware implementing deep learning techniques (CNNs, Transformers, MLLMs) for video processing, ROI detection, and frame-level rate control.… Collaborate with infrastructure teams to integrate algorithms into production VOD and live-streaming pipelines, validate performance through A/B testing, and participate in objective video quality evaluation using metrics like VMAF, PSNR, and SSIM.
The Software Test Engineer will design, build, test, and deliver integrated software solutions for complex, mission-critical DoD systems. Responsibilities include testing software across mission systems, gathering requirements, developing test plans, and building/maintaining CI/CD pipelines for containerized deployments.… The role requires 3+ years of experience with version control, programming languages (C++, Python, Java, JavaScript), containers (Docker/OCI), SQL/relational databases, and Linux command-line usage, plus ability to work with modern frontend frameworks and DevSecOps practices.
Lead the scientific vision and execution of a generative AI platform for protein foundation models, starting with antibody and VHH design. You will build and manage a team of AI researchers and ML infrastructure engineers, define pretraining and post-training strategies across self-supervised learning, reinforcement learning, and transfer learning, and design confidence heads with out-of-distribution detection.… This is a founding role requiring deep expertise in structure-based generative modeling, multi-node GPU training, and the ability to shape cutting-edge computational approaches for therapeutic molecule discovery.
Senior Embedded Software Engineer role focused on designing and developing software/firmware for cloud edge and data center ML accelerators on Qualcomm silicon. The engineer will work on ML acceleration, memory management, virtualization, and board support packages (BSP), device drivers, RTOS, secure boot, and peripheral interfaces (PCIe, I2C/SPI/UART, DMA).… Requires 2+ years of low-level C programming on embedded platforms with proficiency in BSP development, device driver work, Embedded Linux, RTOS, and debugging tools (JTAG/SWD). Preferred experience includes ML frameworks (PyTorch, JAX), QuRT RTOS, and Qualcomm-specific middleware.
As an AI/ML advisor for biotherapeutics at Eli Lilly, you will lead training and fine-tuning experiments on proprietary infrastructure (LillyPod), curate and process biological data (sequences, structures, assays), and build evaluations that connect model outputs to experimental results. You will diagnose model failures, collaborate cross-functionally with protein scientists and wet-lab teams, and communicate findings to both computational and experimental audiences.… The role requires a Ph.D. in a quantitative field (or M.S. with 3+ years experience) and strong hands-on expertise in Python, PyTorch, and deep learning on GPUs, with preference for experience in geometric deep learning, protein language models, diffusion/flow-matching, and published ML applications to molecular data.
Staff HRIS Analyst responsible for configuring and supporting Workday Time Tracking, Absence, Benefits, and payroll integrations in a complex global organization. The role requires hands-on Workday configuration expertise, defining data mappings and reconciliation for payroll and benefits interfaces, leading end-to-end solution design, and planning releases with comprehensive testing strategies.… Responsibilities include diagnosing complex system and interface issues, leading HR technology initiatives from requirements through stabilization, and coaching team members on functional design and controls. The candidate must have 8+ years of related experience (or equivalent with advanced degree) with substantial Workday hands-on expertise and strong analytical and communication skills.
Lead enterprise CRM transformation programs for Life Sciences organizations, owning complex Salesforce and Veeva implementations from strategy through delivery. Direct large, geographically distributed teams across solutioning, commercial operations, field force effectiveness, and omnichannel engagement.… Drive sales cycles end to end—from pipeline building through RFP response, pricing, and negotiation—while identifying and scaling AI/ML use cases for customer insights, targeting, and commercial decision-making. Accountable for scope, quality, financial performance, and business outcomes on multi-year transformations.
As a Software Test Engineer Intern, you will integrate and test software solutions across Innovative Defense Technologies' Integrated Mission Systems, working with developers, systems engineers, and subject matter experts to ensure high-quality, fully performing software. You will gather user requirements, define system functionality, and develop comprehensive test plans for applications written in Java, C++, Python, and JavaScript.… The role requires a strong foundation in application development with Java or C++ in Linux or Windows environments, along with the ability to provide actionable feedback to improve software quality and system integration.
Design, develop, and optimize algorithms for image and video compression (2D, multiview, 360-degree, point cloud, light field) across multiple formats and codecs. Research novel approaches to file formats, transport protocols, and quality evaluation metrics.… Participate in standardization bodies (MPEG, JVET, AVS, 3GPP) and publish findings in top-tier venues. Requires a PhD in computer science or related discipline, strong fundamentals in algorithms and data structures, published research record, and hands-on experience with video coding standards.
Senior AI/ML Engineer responsible for shipping end-to-end production ML systems that enable autonomous medical coding in a SaaS platform. Will design robust ML architectures with low-latency inference, build reliable data and model pipelines using modern MLOps practices (CI/CD, model registries, experiment tracking), establish evaluation strategies with statistical rigor, and implement model observability and governance including drift detection and bias assessments.… Requires 5+ years of industry experience building and operating ML systems in production, 3+ years with C# or Python, 3+ years on Azure, and 1+ years of LLMOps expertise including prompt engineering and RAG.
As an ML engineer at Booz Allen Hamilton, you'll design, build, and deploy production-grade AI/ML systems for Defense and Intelligence clients. You'll work across the full ML lifecycle—from model development in deep learning, computer vision, NLP, and signal processing through MLOps, containerization, and cloud deployment.… The role requires 2+ years of ML engineering or data science experience, proficiency with frameworks like TensorFlow and PyTorch, and the ability to obtain a Secret clearance.
Senior Bioinformatics Engineer responsible for designing, building, and operating production-grade, end-to-end bioinformatics pipelines that process and interpret large-scale genome cohorts. The role involves deep expertise in genome assembly, variant calling, structural-variant calling, haplotype phasing, and pangenome analysis, with the ability to select, adapt, and benchmark state-of-the-art algorithms.… Requires proficiency in Python and compiled languages (C++/Rust/Go), containerization (Docker/Singularity), workflow managers (Nextflow/Snakemake/WDL), and cloud environments (AWS/GCP). The position combines applied research—exploring AI approaches for biological insight—with continuous improvement of algorithms, code, and computational infrastructure, while mentoring junior staff in a startup environment.