machine-learning jobs in San Diego

Research Scientist Graduate role focused on designing and developing novel video codec algorithms for image and video compression across multiple formats (2D, multiview, 360-degree, point cloud, light field). Responsibilities include algorithm optimization, file format and transport protocol development, quality evaluation metrics, participation in standardization forums (MPEG, DASH, 3GPP, JVET, AVS), and publication of research papers and patent applications.…See more Requires a PhD in computer science or related field, strong fundamentals in algorithms and data structures, published research in top venues, and hands-on experience with C/C++ and multimedia compression standards.

Lead AI software strategy and architecture for Qualcomm's automotive platform, directing deployment of computer vision, perception systems, LLMs, and generative AI workloads. Drive architectural decisions across multiple products and customer programs while mentoring cross-functional teams.…See more Ensure solutions meet automotive safety, performance, and reliability standards. Requires 8+ years of software/systems engineering experience with deep expertise in AI/ML, C/C++, and automotive software environments.

Lead large-dataset analysis projects for lending clients, cleaning and analyzing millions of loan-origination records while maintaining rigorous data quality and defensible methodology. Design analyses around customer business goals, translate findings into clear ROI narratives for both technical and executive audiences, and present results directly to stakeholders.…See more Build reusable queries, templates, and documentation to improve study consistency and speed. Spend 20% of time supporting sales through discovery calls, product demos, and creating sales materials.

Senior Software Engineer at ServiceNow building enterprise-grade, AI-integrated conversational platforms and large-scale server-side systems. You'll design and implement highly interactive, performant applications; apply AI/ML concepts to enhance platform functionality; and write clean, scalable code following best practices in architecture, testing, and code review.…See more The role requires expertise in backend (Java, Spring, Hibernate, REST, SQL), frontend (JavaScript, Python), and machine learning/NLP systems including Large Language Models, with collaboration across product and engineering teams from design through delivery.

Founding Product Engineer to build a greenfield Physical AI product for fleet safety and operations. The role spans full-stack development across cloud infrastructure (AWS, containers, CI/CD), multi-tenant backend systems with RBAC and SSO, real-time dashboards, compliance analytics, and AI-agentic features for alert triage and coaching workflows.…See more You'll own end-to-end problems from edge devices to cloud to user experience, shipping fast with direct customer feedback, and working across backend (Go, Python, Java), frontend (TypeScript/JavaScript), infrastructure, and AI integration. Requires 7+ years of software engineering with demonstrated range across multiple technical disciplines.

Principal Software Engineer leading AI software strategy and architecture for Qualcomm's automotive platform. Responsibilities include architecting and deploying advanced AI workloads (computer vision, LLMs, multimodal models, generative AI) on automotive systems, driving cross-functional technical decisions across AI, automotive engineering, and platform teams, mentoring engineers organization-wide, and ensuring solutions meet automotive safety, performance, and reliability requirements.…See more Requires 8+ years of software/systems engineering experience (or equivalent with advanced degree); preferred qualifications include 15+ years in AI/ML, embedded systems, or automotive software, expert C/C++ proficiency, and demonstrated experience with automotive safety standards (ISO 26262, ASPICE), edge AI inference, and Qualcomm AI frameworks.

ByteDance seeks a Research Scientist Graduate with a PhD to work on multimedia standards, specifically image/video coding and processing. The role requires proficiency in Python and PyTorch for research and development.…See more This is an entry-level research position within ByteDance's Global Frontier Tech Recruitment Program, starting in 2027.

Staff-level engineer leading technical vision and architecture for the Resident Concierge product, a SaaS platform for property managers and residents. Responsible for designing and scaling distributed systems to handle 10x traffic growth, mentoring engineers, and collaborating with product, design, and ML teams to integrate generative AI capabilities.…See more Requires 8+ years building and scaling web applications, proven leadership on high-stakes projects, and hands-on experience adopting AI tools; will own the full lifecycle from discovery through production.

Join ByteDance's multimedia research lab as a Research Scientist to analyze, model, and optimize large-scale streaming systems serving billions of users. You will design novel algorithms and architectures for next-generation immersive media formats (360-degree video, volumetric video, light field), develop QoE evaluation metrics and methodologies, and conduct research at the intersection of multimedia, distributed systems, and networking.…See more Success requires a PhD in Computer Science, Electrical Engineering, or related discipline; strong fundamentals in algorithms, data structures, systems, and networking; and a proven publication track record in multimedia, networking, or systems research.

Principal-level individual contributor role leading AI/ML architecture and engineering strategy at scale. Requires 13+ years across ML, data engineering, and distributed systems, with 3+ years shipping production Generative/Agentic AI systems.…See more Hands-on expertise in RAG, vector databases, LLM optimization, agentic orchestration, and MLOps/LLMOps practice. Will set technical direction, own architecture decisions, drive platform initiatives, and raise engineering standards across the organization without direct people-management responsibility.

Engineering Lead responsible for designing, developing, and deploying production ML models for live trading environments while leading day-to-day technical execution across the engineering team. You will work with leadership to shape the research agenda, mentor engineers, drive adoption of AI tools to accelerate engineering workflows, and build/improve core ML infrastructure including data pipelines, training workflows, and inference systems.…See more The role requires 4–6 years of applied ML/AI experience with 1–2 years leading technical projects or teams, strong proficiency in Python and PyTorch, and a track record of shipping ML systems where model performance directly impacts business outcomes.

Lead end-to-end model optimization and transformation for large language models, vision language models, diffusion, and multimodal models on Qualcomm inference accelerators. Architect PyTorch-based optimization strategies, drive graph capture and deployment using PyTorch/ONNX/torch.compile, and design fusion kernels using Triton or similar DSLs.…See more Partner with compiler, performance, and accuracy teams to co-design lowering strategies, optimize transformer-specific patterns (KVcache, decoding, long context), and scale distributed inference across multi-core and multi-device systems. Requires expert-level PyTorch proficiency, deep transformer architecture knowledge, hands-on experience with torch.compile/TorchDynamo, and strong foundation in ML accelerators and distributed systems.

As a Staff AI Engineer, you will lead the design and evolution of Teradata's enterprise AI platforms, owning architecture decisions for agentic AI, LLM systems, RAG pipelines, and vector stores. You will operate with high autonomy, partner with product and architecture leadership, and drive technical strategy across multiple engineering teams.…See more The role requires 8+ years building backend services, distributed systems, or data/AI platforms, with strong proficiency in Java, Go, or Python and deep expertise in distributed system design, cloud-native architectures, and production AI systems. You will also mentor senior engineers, establish engineering standards, and serve as a technical escalation point for complex system design and reliability challenges.

Lead a data engineering team responsible for building scalable data pipelines, trusted datasets, and reusable data products powering analytics, experimentation, and AI across Scribd. This role blends technical leadership with hands-on architecture guidance; you'll establish engineering standards, drive design reviews, mentor engineers, and partner cross-functionally to translate business needs into production-grade data solutions.…See more Requires 10+ years in data engineering or data platforms, 3+ years leading engineering teams, deep expertise in dimensional modeling and scalable data architectures, and strong SQL plus Python/Scala skills. You'll work with modern cloud data platforms like Databricks, Snowflake, and BigQuery, and distributed processing frameworks like Spark.

As a senior-level systems engineer on Qualcomm's System Performance Team, you will optimize and validate power, performance, and thermal behavior of Snapdragon chipsets across mobile, compute, automotive, IoT, and data-center AI platforms. You will profile and analyze complex concurrent system use-cases in emulation and software environments (Android/Linux/Windows), define performance and power analysis plans across CPU, GPU, and AI/ML workloads, identify optimization opportunities in SoC hardware and software architectures, and triage root-cause issues for stakeholders.…See more You will provide technical leadership and mentorship to junior engineers, collaborate with cross-functional teams to implement solutions, and develop automation to improve team efficiency. The role requires 10+ years of post-silicon power and performance analysis experience, strong programming skills (Python, C/C++), and deep knowledge of ARM SoC architecture, memory hierarchies, system interconnects, and modern AI/LLM workloads.

Staff-level AWS cloud security engineer responsible for designing, implementing, and enhancing security controls across AWS environments. The role involves monitoring and responding to security threats, conducting assessments, developing security standards and policies, and supporting AI/ML platforms and data pipelines.…See more Requires 8+ years of cybersecurity experience, 3+ years hands-on AWS security expertise, and an AWS Security certification, with strong knowledge of IAM, CloudTrail, Security Hub, GuardDuty, KMS, and VPC.

SAIC seeks a System Administrator for expeditionary systems integration, focusing on AI capabilities across sensor kits, unmanned systems, command-and-control, and TAK platforms. The role involves hands-on troubleshooting of network connectivity and OS updates on Linux edge servers, testing machine learning capabilities in field experiments, and collaborating with ML engineers and data engineers to integrate and monitor tactical data pipelines.…See more Responsibilities include building tactical systems for exercises, ensuring performant data flow between sensors and C2 systems, and working with software engineers to connect data infrastructure to operational systems. Required: 2+ years in system administration, data engineering, ML engineering, or related roles; intermediate Linux command-line proficiency; experience with edge servers, containerization (Docker/Kubernetes), and tactical system troubleshooting.

Director-level role leading a software engineering team at a life sciences company building multi-omic analysis platforms. Requires hands-on full-stack expertise (React, Go, AWS, Temporal) alongside team management, architecture ownership, and end-to-end product delivery.…See more Must drive regulated software compliance (IEC 62304, ISO 13485, FDA 21 CFR Part 820), design controls, and V&V documentation while prototyping with AI tools and scaling agentic workflows within the team.

Director of Software Engineering leading end-to-end delivery across customer-facing products and internal tooling at a life-sciences company. This role combines hands-on full-stack development (React, Go, AWS, Temporal) with team leadership, architecture ownership, and regulated software compliance (IEC 62304, ISO 13485, FDA 21 CFR Part 820).…See more Candidates should have 10+ years of software engineering with 3+ years managing teams, fluency with modern AI coding assistants, and experience shipping instrumentation, cloud SaaS, and ML/AI features.

Design and build production ETL/ELT pipelines ingesting data from databases, APIs, applications, and Microsoft 365 sources into Azure Databricks and Power BI. Own code quality, CI/CD automation, testing strategies, monitoring, and data validation across development, test, and production environments in Azure DevOps.…See more Develop transformations and curated data products for analytics and AI applications, including secure document ingestion, metadata indexing, and telemetry. Collaborate with business and technical stakeholders to communicate progress, data limitations, and risks while maintaining runbooks and technical documentation.

Design and build agentic systems that automatically acquire, clean, format, and quality-control large-scale biomedical datasets for training a multimodal transformer model. You will develop LLM-based agents that generate trustworthy pipeline code, implement automated quality-control workflows, and maintain distributed data pipelines in production.…See more The role requires strong Python engineering, hands-on experience with LLM APIs and agentic patterns, familiarity with biomedical data formats, and data engineering fundamentals including ETL design and validation at scale.

Qualcomm's Data Center Business Unit seeks a Senior Embedded Software Engineer to design and develop software/firmware solutions for cloud edge and data center ML workloads on high-performance silicon. The role focuses on ML acceleration, memory management, virtualization, and board support packages (BSP), with deep expertise required in embedded Linux, device drivers, RTOS, secure boot, TrustZone, and low-speed peripherals (I2C/SPI/UART).…See more You will collaborate across internal and cross-functional teams to advance critical technologies including process-in-memory and efficient data movement via DMA. The position requires 2+ years of low-level C programming experience and a strong foundation in SoC architecture, multi-threaded programming, and embedded development tools.

As a Senior Software Engineer in Power and Limits Management at Qualcomm, you will own or contribute to multiple aspects of software development for power-efficient chipsets across various SoC subsystems. Responsibilities include analyzing requirements, designing robust solutions, performing detailed software analysis to optimize performance and power utilization, developing profiling and debugging tools, and participating in pre-silicon evaluations.…See more You'll interface with system, power, hardware, and software engineers to develop innovative architectures and scope HW acceleration opportunities, with exposure across the full product lifecycle from pre-silicon to commercialization.

Design, build, and deploy intelligent AI agents and agentic process automation solutions using Snowflake Cortex (Agents, Analyst, Search) and Microsoft Azure. Work hands-on with clients to identify high-value AI use cases, architect scalable solutions integrated with existing infrastructure, develop POCs and pilot projects, and provide technical leadership.…See more Requires 5+ years of AI/ML solution architecture experience, deep expertise in Snowflake Cortex platform, agentic automation design, and Azure/Power Platform.

Build and scale evaluation harnesses and automation to measure how well AI-powered software development tools perform. You'll develop reproducible benchmarking systems, validate evaluation approaches against human judgment, and analyze results across repeated runs to identify variance, failure patterns, and optimization opportunities.…See more The role requires strong software engineering expertise in automation and testing, proficiency in Python and at least one other language (Java, JavaScript), and solid knowledge of Git, Docker, CI/CD pipelines, and AI/LLM evaluation methodologies.