machine-learning jobs in San Diego

Staff Data Scientist leading analytics strategy for Intuit's Connected Accounts product, responsible for owning the analytics agenda end-to-end from account linking through engagement. The role requires applying ML and causal inference techniques to solve connected-accounts-specific problems, designing and running A/B tests and quasi-experimental designs, building member segmentation, and identifying AI/ML opportunities.…See more You will partner closely with Product, Engineering, and Design leadership on roadmap prioritization, mentor other data scientists, and use AI-native tools to synthesize analyses ranging from experiment readouts to churn deep dives.

Design, build, and deploy production agentic AI solutions powered by Claude for enterprise clients, from proof-of-concept through production. Implement multi-agent systems that automate business processes, integrate with enterprise tools, and operate within defined autonomy and guardrails.…See more Modernize existing AI/ML platforms with generative AI capabilities including RAG and agent-based orchestration. Advise clients on generative AI adoption strategy, responsible AI practices, and model selection while partnering with technology, data, and business stakeholders to scope and deliver solutions.

Lead enterprise generative AI architecture and solution design on Oracle Cloud Infrastructure (OCI), focusing on agentic workflows, retrieval-augmented generation pipelines, and Oracle application integrations. Define governance, security, and compliance standards for AI/ML initiatives across the enterprise.…See more Mentor delivery teams on prompt engineering, model selection, and optimization; identify high-value AI use cases and guide pilot deployments that drive business outcomes.

As an AI and Data Science Engineer III, you will translate business goals into machine learning use cases and develop predictive models for marketing and advertising applications. You'll perform exploratory data analysis, apply clustering and feature transformation techniques, build proofs of concept, and validate solutions.…See more The role requires 5+ years of industry experience applying data science or machine learning methods, with a strong foundation in translating business requirements into model design approaches and collaborating across analytics and data engineering teams.

Develop Python solutions for natural language processing and machine learning, including text analytics, topic modeling, embedding-based classification, and entity extraction. Build network-analysis capabilities such as knowledge graphs and GraphRAG-like systems, deploy APIs, integrate data feeds, and adapt to new technical environments with limited supervision.…See more Requires 4+ years of Python development experience, an active Secret clearance, and active Security+ certification. Experience with TypeScript front-end development and API deployment is required.

Join XiFin's Advanced Data Analytics team as an Associate Machine Learning Engineer to design, develop, and deploy machine learning models with a focus on LLMs, Generative AI, and Agentic AI in healthcare and revenue cycle domains. You will contribute to MLOps pipelines, perform data preparation and prompt engineering, collaborate with cross-functional teams, and validate models for production use.…See more The role requires a Bachelor's degree in Computer Science, Data Science, or related field, with proficiency in Python, ML libraries (scikit-learn, TensorFlow, PyTorch), and foundational knowledge of GenAI architectures, vector databases, and LLM orchestration frameworks.

As an Autonomy Engineer focused on VLA (Vision-Language-Action) pre-training, you will develop and train deep learning policies for humanoid robots, owning the full pipeline from data collection and curation to model deployment. You'll pre-train base models on diverse multi-embodiment trajectory corpora, fine-tune policies for specific tasks, work with MLOps teams to scale distributed training, and build continuous pipelines that ingest synthetic data and teleop logs.…See more This is primarily a deep learning role requiring 3+ years of experience shipping neural network models, hands-on expertise with LLMs, VLMs, or generative models, and strong proficiency in Python and PyTorch or JAX.

Senior AI Engineer role focused on designing and leading scalable, high-performance data architecture solutions that support AI/GenAI use cases. The role involves building and optimizing data pipelines, defining database schemas (Graph, SQL, NoSQL), and leading infrastructure for AI model deployment across cloud and on-premises environments.…See more Requires 4+ years in data engineering/MLOps with hands-on AWS/Azure/GCP experience, 2+ years managing technical teams, and expertise in DevOps, CI/CD, containerization (Kubernetes, Docker), and ML deployment frameworks. The position includes mentoring junior engineers and driving technology modernization initiatives.

Senior forward-deployed engineer at Deloitte GPS responsible for developing scalable AI engineering patterns and production-quality GenAI/LLM solutions for government clients. Must have 7+ years software/data engineering experience, 1+ years hands-on with Palantir (Foundry, AIP, or Maven), and 1+ years building and deploying LLM-powered solutions in production.…See more Role emphasizes architecture balancing quality, safety, latency, cost, and model risk; delivering well-tested, documented code with strong CI/CD practices; and translating business problems into AI solutions while leading technical workstreams.

This is a hands-on Solution Architect role for an AI-enabled Managed Services team, requiring deep technical expertise in designing end-to-end application architectures spanning UI, APIs, services, data, and AI components. The role combines hands-on coding and prototyping with architecture ownership, emphasizing active participation in codebases, AI tool evaluation, and guiding engineering teams through complex technical decisions.…See more Key responsibilities include designing reference architectures for AI patterns (RAG, vector search, prompt orchestration), defining non-functional requirements (performance, reliability, security), architecting CI/CD pipelines, and ensuring production readiness. The ideal candidate has 8+ years of software engineering experience, strong cloud-native and modern application architecture knowledge, practical AI feature development, and comfort working directly in code and infrastructure.

AfterQuery seeks software engineers with 2+ years of real-world experience to complete AI model training and evaluation projects on a remote, asynchronous basis. Responsibilities include code review, model output evaluation, and original task creation across a range of AI training initiatives.…See more Work is fully independent and project-based, with hourly rates ranging from $50–$100 depending on project qualification.

AfterQuery seeks experienced software engineers to complete remote, project-based work training and evaluating AI models. Responsibilities include code review, model output evaluation, and task creation across various AI training projects.…See more Candidates must have 2+ years of software engineering experience, strong programming fundamentals, and the ability to work independently and deliver well-documented work.

AfterQuery seeks experienced full-stack engineers to participate in remote, project-based AI model training and evaluation work. Responsibilities include completing software engineering tasks, reviewing code and model outputs for correctness, and delivering well-documented work independently.…See more Requires 2+ years of real-world software engineering experience and strong fundamentals in at least one major programming language.

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.…See more 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).

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.…See more 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.…See more 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.…See more 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.…See more 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).…See more 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.…See more 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.…See more 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.…See more 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.…See more 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.…See more 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.…See more 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.