(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.
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.
AI Applications Engineer QuadricAI Applications EngineerBurlingame, CAThe AI Application Engineer will [1] integrate Quadric product and software stack into AI/LLM frameworks and ecosystem; [2] develop AI applications based on Quadric products; [3] lead technical customer/developer support initiatives in collaboration with field application engineers, Business Development, Product, and Engineering teams; and [4] develop technical materials to support the use of Quadric product. 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.
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.
Software Engineer, Gen AI Scale AI, Inc.Software Engineer, Gen AISan Francisco, CA$179,400–$224,250 / 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. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.
AI Advisory Principal Scale AI, Inc.AI Advisory PrincipalSan Francisco, CA$207,200–$259,000 / 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. You build the approach, lead the Advisory portion of key pre-sales meetings, bring industry roadmap examples from buyer peers, and qualify opportunities with Account Executives - and you represent Scale and Advisory at industry events.
Principal System Software Engineer, AI Inference Execution D-MatrixPrincipal System Software Engineer, AI Inference ExecutionSanta Clara, CAWhat you will bring: Minimum: BS in Computer Science, Engineering, Math, Physics, or related degree with 12+ years of industry software development experience and MS in Computer Science, Engineering, Math, Physics, or related degree preferred with 6+ years. You have had past experience working across all aspects of the full-stack toolchain and understand the nuances of what it takes to optimize and trade-off various aspects of hardware-software co-design.
AI Infrastructure Engineer, Sandbox Platform Scale AI, Inc.AI Infrastructure Engineer, Sandbox PlatformSan Francisco, CA$180,000–$225,000 / yearAs a Software Engineer on the AI Infrastructure team, you'll help build and evolve our agent sandboxing platform - the secure, high-performance code execution layer powering our agentic workflows, deployed across both internal and customer-managed environments. 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.
CW AI Researcher for Mobility Artech LLCCW AI Researcher for MobilityMountain View, CA$60–$71.67 / hourThe successful candidate will conduct cutting-edge research at the intersection of large language models (LLMs), agentic AI, multi-agent systems, world models, reinforcement learning, and knowledge distillation, enabling efficient AI deployment across cloud, edge, and embedded platforms for intelligent mobility and autonomous systems. Description: *** is seeking a PhD graduate in Computer Science, Electrical Engineering, Mechanical Engineering, or a related engineering discipline to work on Agentic AI systems for mobility.
Applied AI Technical Evangelist, Startup Ecosystem AnthropicApplied AI Technical Evangelist, Startup EcosystemSan Francisco, CAThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Create production-quality technical resources and products - working code samples, reference architectures, tutorial repos, and blog posts - that help a 2-person team ship with Claude in under a week.
Lead AI Strategist DistylLead AI StrategistSan Francisco, CA$200,000–$250,000 / yearYou work alongside CIOs, COOs, and their leadership teams on the technology and business strategy that reshapes how a company operates - and that partnership becomes some of Distyl's deepest, fastest-growing relationships. 10-15+ years of experience in management consulting, an operational/ transformation leadership role within large enterprises, or product leadership role within enterprise technology companies.
AI Strategist (All Levels) DistylAI Strategist (All Levels)San Francisco, CA$150,000–$250,000 / yearOperational Experience: A proven record in managing complex projects or strategic leadership roles, with demonstrable experience in client-facing positions within AI or technology integration. Because we care about driving real value, your engagement doesn't stop with delivery of the system - you are also responsible for driving user adoption and iterating to make sure this product is valuable to the end user.
AI Advisory Consultant Scale AI, Inc.AI Advisory ConsultantSan Francisco, CA$141,600–$177,000 / 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. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.