Director of Engineering – Machine Learning & AI Products AdobeDirector of Engineering – Machine Learning & AI ProductsSan Jose, California$265,700–$384,675 / yearAdobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. In California, the pay range for this position is $265,700 - $384,675 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans.
Applied AI Engineer Abby CareApplied AI EngineerSan Francisco, CaliforniaReporting to the Director, Applied AI, you will work on practical, high-impact problems such as collecting and interpreting clinical documents, automating intake and prior authorization work, assisting caregivers and nurses, detecting operational or billing risks, and routing exceptions to the right person. As we expand our capacity to support more family caregivers at scale, we’re looking for an Applied AI Engineer to build AI-powered products and workflow automation that help caregivers, clinicians, and operational teams deliver better care.
Research Engineer, AI Safety & Alignment Character AIResearch Engineer, AI Safety & AlignmentRedwood City, CAAs a Research Engineer, you will bridge the gap between theoretical research and practical application, writing high-quality code to test hypotheses and integrating successful safety solutions directly into our products. Analyze and mitigate biases, toxicity, and other harmful behaviors in large language models through techniques like reinforcement learning from human feedback (RLHF) and fine-tuning.
AI Engineer HockeyStackAI EngineerSan Francisco, California$180,000–$220,000 / yearSince launching late 2023, we have grown to 8-figures in ARR , process over 60 TB of revenue data monthly , and we are working with some of the largest B2B companies in the world like Microsoft, Harvey, New Relic, Collibra , etc. As part of our San Francisco, California-based team, the salary range for this role is $180,000- $220,000 USD base pay annually , depending on experience and qualifications.
Director of Product – AI Underwriting AriveDirector of Product – AI UnderwritingSan Ramon, CaliforniaRemoteRoadmap & Launch Partnership: Shape the AI Underwriting roadmap and partner closely with Product, Engineering, Sales, Onboarding, Support, Compliance, and Executive Leadership to successfully launch new capabilities, integrations, and strategic initiativesMetrics & Quality: Define and report the domain’s quality KPIs — rule accuracy, false findings, condition quality, and lender acceptance of Pre-Underwrite outputs. Lender & Agency Validation: Work directly with lender credit and underwriting teams, and with the agencies as applicable, to confirm rule accuracy and correctness — run validation reviews, leverage findings, reconcile interpretation differences, and maintain lender-specific rule sets as the source of truth.
AI Deployment Strategist Nirvana InsuranceAI Deployment StrategistSan Francisco, CaliforniaCooper works directly inside the tools teams already use, turning these workflows into fast, automated experiences that save hours every day and unlock meaningful efficiency gains. As an AI-powered platform Cooper automates the operational workflows that slow down insurance carriers and brokers, and replace them with real-time AI that helps teams run faster, safer, and smarter.
AI Kernel Engineer QuadricAI Kernel EngineerBurlingame, CAThe AI Kernel Engineer at Quadric will [1] develop a highly efficient Quadric kernel library for a variety of AI/LLM models; [2] analyze the performance and optimize the kernel for different hardware configurations; This senior technical role demands deep knowledge of hardware architecture, compiler toolchain and optimization techniques. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems.
Software Engineer, AI PylonSoftware Engineer, AISan Francisco, CaliforniaUnlike platforms built before the AI era, Pylon enriches every interaction with deep account-level context, automates the low impact customer work, and surfaces answers before your team even has to ask. For leaders scaling AI-native support teams, Pylon lets humans and agents collaborate on customer work – investigating, resolving, and acting on every signal across every channel that matters.
Director of Partnerships, AI Model and Ecosystem HiggsfieldDirector of Partnerships, AI Model and EcosystemSan Francisco, CaliforniaTeam members are expected to work from our San Francisco office three full days per week , with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. This is a highly cross-functional role focused on identifying partnership opportunities, developing commercial strategies, negotiating agreements, and serving as the primary relationship owner for key infrastructure partners.
(Mid/Senior Fullstack Engineer (Ambient AI) lovefreedom-solution.com(Mid/Senior Fullstack Engineer (Ambient AI)Mountain View, CaliforniaBacked by leading investors including General Catalyst, Sequoia, and Y Combinator, valued at $6B+, and growing rapidly, Commure is building technology that supports clinicians, improves patient care, and modernizes the systems healthcare teams rely on every day. Lovefreedom Solution is partnering with a Fortune Future 50 healthcare AI company to identify a high-impact Senior Full-Stack Engineer to help build the next generation of AI-native healthcare infrastructure.
Software Engineer - AI Security Product Obsidian SecuritySoftware Engineer - AI Security ProductPalo Alto, CA$155,000–$180,000 / yearCopilot, ChatGPT Enterprise, Gemini, Claude, and a wave of agentic tools are being wired into corporate SaaS faster than security teams can keep up — with broad OAuth scopes, opaque data flows, and non-human identities acting on behalf of employees. We protect 200+ organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand, including many of the world's largest Fortune 1000 and Global 2000 companies.
Principal Product Manager, Core AI Twin HealthPrincipal Product Manager, Core AIMenlo Park, CA$205,000–$240,000 / yearTwin has an ambitious vision to empower people to live healthier and happier lives, and to achieve this purpose, we need the very best people to enhance our cutting-edge technology and medical science, deliver the best possible care, and turn our passion into value for our members, partners and investors. Guided by a dedicated clinical care team, our members have lowered their A1C below the diabetes range, achieved lasting weight loss, and reduced or even eliminated medications, all while living healthier, happier lives.
Senior Staff AI Data Infrastructure/Pipeline Engineer XPeng MotorsSenior Staff AI Data Infrastructure/Pipeline EngineerSanta Clara, CA$203,450–$344,300 / yearAs a core member of our AI Infrastructure team , you will be responsible for building the end-to-end data pipeline for autonomous driving, covering the entire chain from onboard data upload cloud-based preprocessing dataset production model training / simulation input. Hands-on project experience in at least two of the following areas: Design and development of large-scale data pipelines / ETL systems, with end-to-end experience in data cleaning, transformation, and loading.
AI Product Marketing Manager PlayerZeroAI Product Marketing ManagerSan Francisco, CaliforniaPlayerZero builds a living model of production reality from code, telemetry, tickets, and deployment history giving every tier of the organization - dev, SRE, support, product - shared context, persistent memory, and infinite leverage on a live system. Experience in DevOps, Observability, Platform Engineering, Infrastructure, AI/ML, Data Platforms, Developer Tools, Security, or related technical domains.
Staff ML Engineer - Embodied AI Evaluation Foundations General Motors CoStaff ML Engineer - Embodied AI Evaluation FoundationsSunnyvale, CARemote$189,400–$300,600 / yearWork closely with modeling and data scaling teams building our Compound AI driving models to design and implement large-scale evaluation workflows-utilizing model-based metrics, end-to-end simulation, and tooling that connects evaluation signals back to data selection, training, and launch decisions. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
AI Operations & GTM Engineer LogicMonitorAI Operations & GTM EngineerSan Francisco, CA$158,400–$217,800 / yearWhat You'll Need: 5+ years in customer operations, lifecycle operations, CX operations, RevOps, Sales Ops, BizOps, Product Ops, data engineering, analytics engineering, systems engineering, or GTM engineering. By anticipating issues before they strike, optimizing resources in real time, and enabling faster, smarter decisions, LogicMonitor helps IT and business leaders protect margins, accelerate innovation, and deliver exceptional digital experiences without compromise.
Product Manager, Applied AI MercorProduct Manager, Applied AISan Francisco, CaliforniaOwn Customer Integrations : Set the roadmap for integrations with customer platforms and data systems, expanding the integration surfaces that unblock new revenue and driving toward seamless, reliable delivery regardless of customer infrastructure. Lead Customer Implementations : Assemble the right solution for every committed project - composing the teams, resources, and bandwidth it will take to deliver - and coordinate across Product, Engineering, GTM, and customer stakeholders to ensure successful launches.
Sr. Product Manager, AI KiddomSr. Product Manager, AISan Francisco, CAChampion outcomes, not features- Ensure AI delivers clear value: saving teachers time, helping students progress, and improving institutional decision-making. This role suits a PM with strong AI/ML fluency who thrives in ambiguity, moves fast through experimentation, and can bridge technical and non-technical teams while embedding trust, fairness, and responsibility into every feature.
Director Of Engineering, Physical AI Scale AI, Inc.Director Of Engineering, Physical AISan Francisco, CA$302,400–$378,000 / yearLead a multidisciplinary engineering organization-spanning engineering managers, software engineers, ML engineers, and ML research scientists-while designing the organizational structure, talent strategy, and culture required to scale rapidly without compromising on quality or strategic alignment. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training.
Software Engineer, Frontier AI Infrastructure Scale AI, Inc.Software Engineer, Frontier AI InfrastructureSan Francisco, CA$184,000–$259,440 / yearThe range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. As a part of this team, you will own the model inference layer - enabling state of the art models, debugging the latest AI tools, managing networking, debugging latency, and tracking pricing/usage metrics for AI models.