Machine Learning Jobs in Sunnyvale, CA

The Sr. Solution Engineer collaborates with Sales to advance enterprise opportunities, conducting demos, workshops, and assessments to align with customer needs and position Aera's Decision Intelligence platform as a transformative solution.

Lead and evolve Coupang's core search experience using AI and machine learning, driving innovation, product direction, and measurable business impacts.

The Software Engineer, Perception develops autonomous aircraft systems to detect and manage wildfires using real-time data processing and machine learning techniques.

Lead threat intelligence research, build cyber labs and demos, develop CTFs, perform malware reverse engineering and threat hunting, and support presales and executive briefings. Produce thought leadership, train and mentor SEs, and enable SecOps engagements to showcase Fortinet/FortiGuard defenses and adversarial AI mitigations.

Serve as a FortiGuard threat intelligence SME to engage executives, support sales, create labs/CTFs, perform malware analysis/reverse engineering, develop demos and training, and present thought leadership. Collaborate with FortiGuard R&D and SE teams to position Fortinet solutions, enable SecOps engagements, and drive major account opportunities while traveling frequently and mentoring internal teams.

The V&V Test Engineer will evaluate autonomy performance in autonomous driving systems, develop validation strategies, and analyze data for safety evaluations.

Lead performance measurement and release management for the core autonomy stack across passenger, trucking, and mining programs. Define reliability metrics and forecasts, coordinate end-to-end releases to downstream teams, prioritize engineering projects to improve driving performance, and build reporting and dashboards for engineering and customer-facing teams.

Senior pre-sales engineer partnering with sales and channel partners to run technical demos, lead POCs, design solutions, and close large deals. Present to executives and technical audiences, build cloud ML/generative AI solutions, and advise on data architecture and Snowflake positioning.

Develop data-analysis pipelines bridging ultrasound, synthetic biology, imaging and sequencing. Collaborate with wet-lab and ML teams to define objectives, encode priors, run ML pipelines for de-novo design and closed-loop active learning, and produce actionable insights to accelerate molecule discovery and device optimization.

Lead Wayve's new Application Engineering team to develop autonomous driving technology for the US market, focusing on robotics and machine learning systems.

As a Founding AI Engineer, you will develop an AI-powered knowledge platform, focusing on backend systems, machine learning data pipelines, and optimizing tech stack for performance while participating in the entire product lifecycle.

As an Automation Engineer, you'll build automation pipelines, collaborate on experimental needs, program instrumentation, and integrate with data science, enhancing research capabilities.

As a Social Media Intern at Inception, you will manage social content across platforms, engage with AI discussions, participate in product launches, and create engaging video content. Aimed at students with a passion for AI and strong writing skills, the role offers direct access to the founding team and the potential for full-time conversion.

Lead integration of learned models into the autonomous behavior planning stack. Collaborate with ML and autonomy teams to design, validate, monitor, and deploy learned planning components while ensuring safety, fallback strategies, debuggability, and production readiness. Mentor engineers and drive cross-functional technical designs using simulation, logs, and real-world data.

Design and implement perception capabilities within a core simulation engine to detect uncertainty, degradation, and failures. Build multi-fidelity sensor simulation and workflows, define uncertainty signals that trigger safe fallback behavior, collaborate with infrastructure and sensor teams, and deploy production systems affecting vehicle safety and ODD expansion.

The Senior ML/Research Scientist will develop wearable neurotechnologies, focusing on digital biomarkers and applications for neurological conditions through research and collaboration.

The Director of Data Science leads data-driven initiatives, focusing on strategy, technical execution, and cross-functional collaboration to drive business impact through advanced models and teamwork.

The Senior B2B Marketer will develop and execute marketing strategies, collaborate with Sales, create marketing materials, conduct research, and optimize marketing effectiveness to drive growth in the gaming and 3D industries.

Lead the Sensing Resilience product roadmap for calibration scalability, multi-platform sensing validation, fault recovery, and safe degraded-system driving. Coordinate cross-functional partners (Perception, Hardware, Systems, Simulation, Operations) to translate company goals into deliverables and long-term needs that advance product, business, and safety objectives.

Lead strategic ISV partnerships to integrate NVIDIA software and SDKs into partner data platforms. Drive technical and GTM alignment, influence product strategy, recruit and lead cross-functional teams, promote NVIDIA solutions to architect and developer communities, and surface partner needs to internal product and engineering teams.

Design and develop scalable, high-performance data and API infrastructure for real-time processing. Mentor engineers and collaborate with teams to enhance AI model evaluations.

Responsible for designing experiments to evaluate AI models, developing evaluation methodologies, analyzing performance data, and collaborating on production insights.

Serve as a strategic talent partner advising executives on hiring strategy, organizational design, and workforce planning. Lead full-cycle recruiting for engineering, AI/ML, infrastructure, and leadership roles while improving recruiting operations, sourcing automation, and candidate experience. Coach managers across the employee lifecycle and use talent intelligence to influence business decisions.

Lead full-cycle technical recruiting for engineering and AI teams, owning sourcing, interview design, stakeholder advising, and offer management. Build proactive pipelines, advise on market compensation and hiring strategy, champion recruiting operations and AI-enabled sourcing tools, and continuously improve hiring metrics and candidate experience for senior and principal-level technical hires.

Designs, builds, and evaluates language models for AI security products. Responsibilities include dataset curation, preprocessing, LLM experimentation, safety and robustness evaluation, dashboards, knowledge graphs, model fine-tuning, production integration, monitoring, CI/CD, and ML tooling. Collaborates with researchers and data scientists to automate quality assurance and guardrails while delivering reliable, scalable, and interpretable models.