Top Machine Learning Jobs in San Diego, CA

Own end-to-end strategy, roadmap, delivery, adoption, safety, and commercial readiness for AI-native cybersecurity products. Conduct customer and partner discovery, lead 0-to-1 launches, define experimentation and evaluation frameworks, and collaborate with engineering, design, sales, finance, and executives. The role requires hands-on LLM product expertise, strong judgment in ambiguous environments, and a focus on trusted AI experiences for security professionals and MSP/MSSP partners.

Supports the design, validation, and operationalization of predictive, machine learning, and AI models. Analyzes structured and unstructured data, develops algorithms, validates outcomes, creates visualizations, and communicates findings to stakeholders. Collaborates cross-functionally to integrate solutions and prepares model pipelines for business use. The role also involves statistical analysis, NLP, exploratory data analysis, feature engineering, and research into emerging technologies.

Analyze large datasets, identify meaningful patterns, develop machine learning models, and deliver actionable insights for business decisions. Collaborate with cross-functional teams to understand data needs, communicate findings clearly to stakeholders, and stay current with advances in data science and AI technologies.

Build and deploy AI-driven process optimization models for refineries and petrochemical plants. Scope customer opportunities, analyze plant time-series data, develop and validate process models, commission closed-loop optimizers, train operators, troubleshoot deployed models, and support plant-system integrations. The role also leads technical customer relationships, manages implementation projects, documents workflows, and channels field feedback to product and R&D teams.

Lead Scrum delivery for software, data, and AI/ML teams supporting NASA. Facilitate Scrum ceremonies, manage backlogs, translate strategy into sprint and release plans, remove impediments, coordinate dependencies, and provide leadership reporting. Use delivery metrics such as velocity, throughput, cycle time, defect rate, and DORA metrics to improve efficiency and quality. Establish delivery standards, coach teams, and maintain alignment across stakeholders and programs.

Develop and deploy AI solutions from problem framing through production. Responsibilities include identifying AI opportunities, leading MVP development, building data pipelines, experimenting with generative LLMs, fine-tuning NLP models, and delivering scalable features. The intern will collaborate cross-functionally, communicate technical impact to business audiences, and work with cloud platforms such as AWS or Google Cloud.

Build and operate high-throughput distributed systems for Yahoo Mail’s anti-spam protection and message delivery infrastructure. Responsibilities include writing, testing, deploying, debugging, and performance-tuning backend services; designing reliable components; using AI-assisted development tools; reviewing code; and making independent technical decisions. The role requires expertise in Java, Go, or C++, cloud platforms, containers, Kubernetes, Linux, networking, machine learning, and scalable distributed systems.

Lead Client Legal Services analytics strategy and team development. Own Power BI reporting products, Microsoft Fabric data solutions, governance, predictive modeling, responsible AI adoption, ROI measurement, and executive insights. Partner cross-functionally to improve legal operations, litigation outcomes, staffing, capacity, cost management, quality, and workflow optimization while building scalable analytics capabilities and institutional knowledge.

Support partner sales opportunities through discovery calls, product demonstrations, technical responses, solution scoping, project planning, proof-of-concept coordination, RFI/RFP responses, and security questionnaires. Collaborate with sales, professional services, product, engineering, and delivery teams while building partner relationships and developing expertise in fraud prevention and financial crime solutions.

Lead end-to-end product design for an AI-powered women’s health platform. Responsibilities include defining UX vision, creating interaction models, information architecture, wireframes, high-fidelity interfaces, prototypes, design systems, and user research. Collaborate with product, engineering, ML, marketing, and leadership teams to translate business needs into customer-focused solutions, manage design initiatives, and measure product success through user feedback and metrics.

Perform Tier 2 cybersecurity incident analysis, threat detection, network traffic analysis, and incident response. Investigate alerts across cloud, endpoint, email, and security monitoring platforms; recommend remediation and detection improvements; configure Splunk and FirePower; manage security tools; and apply AI/ML, automation, SOAR, and threat intelligence to improve SOC effectiveness. The role supports USPS, requires overnight weekday hours, and involves obtaining Public Trust clearance.

Lead Nabla’s marketing organization and product marketing strategy across healthcare segments, buyer types, and direct and partner channels. Own positioning, messaging, launches, competitive intelligence, sales enablement, demand strategy, content prioritization, marketing operations, pipeline attribution, and team development. Manage a 6–8-person team spanning product marketing, growth content, design, and marketing operations while guiding resourcing and hiring decisions.

Build and operate high-scale internationalization infrastructure, including translation workflows, APIs, UIs, libraries, and platform tooling. Improve legacy systems through migrations while enhancing reliability, observability, latency, security, and cost efficiency. Prototype and productionize machine-learning and large-language-model capabilities, collaborate across engineering and business teams, and deliver measurable improvements in quality, adoption, developer productivity, and operational efficiency.

Leads the transformation of Sophos’s pricing operations by building a centralized function, establishing pricing governance and review cadences, developing AI-assisted competitive and discount analysis capabilities, and aligning pricing across SecOps and Network Security. The role provides executive market visibility, defines performance metrics, supports organizational change, and builds a high-performing team serving sales, finance, and customer-facing stakeholders.

The Tarbell Fellowship combines three months of remote training in AI and journalism fundamentals with a nine-month newsroom placement as an artificial intelligence reporter. Fellows write and investigate AI-related topics, build journalism skills, complete coursework and assignments, and attend a weeklong in-person summit. The program is full-time and intended for candidates with journalism or AI expertise, strong writing ability, persistence, curiosity, and open-mindedness. Senior fellowships are available to candidates with at least seven years of experience and exceptional prior work.

Leads the Machine Learning Sciences team applying machine learning to ADMET/PK prediction and small-molecule design. Sets scientific strategy, manages and mentors scientists, partners with computational scientists and drug discovery functions, improves model predictivity through validation against experimental data, evaluates emerging methods and technologies, and communicates strategy and results to senior leadership.

Own the strategy, roadmap, and investment priorities for foundational agricultural data products, including pipelines, data models, APIs, and shared services. Partner with engineering, architecture, data science, and product teams to deliver scalable, governed, high-quality data capabilities. Prioritize initiatives based on customer and commercial value, define success metrics, resolve cross-team tradeoffs, and expand data support for analytics, predictive modeling, machine learning, and AI applications.

Lead end-to-end LLM inference performance across serving systems, models, GPU hardware, and workloads. Define rigorous benchmarks, diagnose bottlenecks from scheduling through kernels and interconnects, optimize single- and multi-node deployments, and deliver production-ready runtimes and configurations. Collaborate with product and infrastructure teams, evaluate inference technologies, and implement runtime fixes. The role requires strong Python engineering, production experience with serving engines such as vLLM or SGLang, GPU profiling, and knowledge of modern inference optimization techniques.

Build and deploy production machine learning systems that optimize Samsara’s global hardware supply chain. Responsibilities include demand, inventory, lead-time, spend, and supplier-risk forecasting; anomaly detection; feature engineering and ETL; real-time inference; MLOps; data infrastructure improvements; governance; and model monitoring. The role defines the AI transformation roadmap, partners with executive and cross-functional stakeholders, mentors scientists, and drives adoption of AI-enabled operational workflows.

Lead client engagements from data onboarding through production, plan studies that demonstrate business value, and build automated machine learning workflows using Python, scikit-learn, pandas, and Spark. Translate client business questions into data solutions, manage stakeholder relationships, evaluate model performance, and inform product planning. Requires healthcare or life sciences data experience and end-to-end delivery of sophisticated data or machine learning solutions.

Lead UX design initiatives across a healthcare product suite, solving complex user and business problems through research, prototyping, interaction and visual design. Mentor designers, influence cross-functional teams, contribute to the design system, and establish scalable design standards. Collaborate with engineering, product, leadership, and data science teams to integrate ML features and deliver intuitive, consumer-quality healthcare experiences.

Lead UX design initiatives across a healthcare product suite, solving complex problems through prototyping, user research, and strategic design. Collaborate with engineering, product, leadership, and data science teams to create consumer-quality experiences, integrate ML features, and evolve scalable design systems. Mentor designers, resolve stakeholder feedback, establish design standards, and drive innovation across large-scale projects.

Lead atmospheric research for a rainfall enhancement startup, directing meteorological science, WRF modeling, data assimilation, deployment evaluation, and operational forecasting. Integrate radar, satellite, sounding, surface, and field-sensor data; develop cloud and HPC modeling workflows; assess AI weather models; and communicate uncertainty. Recruit and lead scientific and engineering teams while building partnerships with universities and research institutions. Frequent travel is required.

Leads a clinical support team delivering patient engagement and medication adherence programs. Responsibilities include developing intervention strategies, managing productivity and timelines, ensuring quality standards, representing clinical care in customer meetings, hiring and training staff, conducting performance reviews, addressing patient and provider questions, and complying with healthcare regulations.

Leads Yahoo’s centralized CRM organization and owns the performance, strategy, governance, operations, innovation, and roadmap for email, push, SMS, newsletters, and other messaging channels. Oversees engagement, retention, revenue, deliverability, personalization, experimentation, quality, compliance, budgets, vendors, and cross-functional partnerships with Product, Engineering, Analytics, Legal, and Marketing. Develops senior leaders and scales AI-enabled CRM capabilities across Yahoo’s global consumer products.