Model Training Engineer at Inflection AI | Palo Alto, CA

At Inflection AI, we are dedicated to leveraging the transformative capabilities of artificial intelligence to enhance human well-being and productivity.The future of AI will be characterized by agents we can trust to act on our behalf.We are at the forefront of this evolution with our human-centric AI models that integrate emotional intelligence (EQ) with cognitive intelligence (IQ), shifting interactions from mere transactions to meaningful relationships, thereby generating lasting value for individuals and organizations alike.Our initiatives manifest in two primary forms:Pi, your personal AI, designed to be a compassionate companion that enriches everyday life through practical support and insights.Platform — large language models (LLMs) and APIs that empower developers, agents, and enterprises to infuse Pi-level emotional intelligence into experiences where empathy and understanding are crucial.We are building towards a future of AI agents that foster trust, enhance understanding, and create aligned, long-term value for everyone.About the RoleAs a Model Training Engineer, you will be responsible for designing, building, and scaling post-training pipelines that transform general LLMs into brand-fluent, production-ready assistants. Your innovations in fine-tuning and preference optimization techniques (RLHF, DPO, GRPO, RLAIF) will significantly enhance reliability, alignment, and cost-effectiveness.

At Inflection AI, we are driven by a public benefit mission to harness the transformative power of AI for enhancing human well-being and productivity.We envision a future where AI agents earn our trust and act on our behalf.Our pioneering efforts focus on creating human-centered AI models that blend emotional intelligence (EQ) with analytical intelligence (IQ), evolving interactions from mere transactions to meaningful relationships, thus delivering lasting value for both individuals and organizations.Our work manifests in two key areas:Pi, your personal AI, designed as a compassionate and supportive companion, enriching daily life through practical assistance and insightful perspectives.Platform — a suite of large-language models (LLMs) and APIs that empower developers, agents, and enterprises to incorporate Pi’s emotional intelligence into experiences that prioritize empathy and human understanding.Join us as we build towards a future of AI agents that cultivate trust, deepen understanding, and generate aligned, long-term value for all.About the RoleWe are on the lookout for passionate and skilled Android Engineers to join our mission of delivering outstanding app experiences for our users.Your enthusiasm, creativity, and unwavering focus on user experience will be essential in a team dedicated to designing and implementing innovative features. We welcome your input in shaping the technologies, patterns, and processes we adopt as a collaborative unit.What You’ll DoDesign and develop feature-rich Android applicationsLead the delivery of full-stack Android features and projects from initial concept to productionEnsure application reliability, stability, and qualityCollaborate with and mentor fellow Android engineers to enhance team velocity, technical quality, and best engineering practicesResearch and implement tooling improvements to foster safe and predictable feature deliveryWork cross-functionally with colleagues in product, design, sales, and support to align technical solutions with business objectivesWhat We’re Looking ForAn innovative startup mindset paired with a pragmatic approach to problem-solvingStrong expertise in modern Android application development using Kotlin and Compose

At Rhoda AI, we are pioneering a comprehensive platform for the next generation of humanoid robots. Our cutting-edge technology encompasses high-performance, software-defined hardware alongside sophisticated foundational models and video world models. Our robots are crafted to be versatile and capable of navigating complex, real-world scenarios that may not be covered in traditional training. We are at the forefront of large-scale learning, robotics, and systems integration, boasting a research team that includes esteemed professionals from Stanford, Berkeley, Harvard, and other prestigious institutions. With over $400 million raised, we are committed to significantly investing in research and development, hardware innovation, and scaling up our manufacturing processes to realize our vision.We are seeking a talented mid-to-senior Application Engineer who will be instrumental in translating real-world customer use cases into effective intelligent robot deployments. You will engage in the design, prototyping, and enhancement of grippers, end-of-arm tooling, workstations, and integration hardware. Additionally, you will develop efficient strategies for robot learning and data collection, operating at the confluence of robotics, artificial intelligence, hardware, and deployment operations.

Why Join Zania?At Zania, we are on a mission to revolutionize Governance, Risk, and Compliance (GRC) through innovative technology. With enterprises investing millions in GRC, the sector is primed for transformation. Our cutting-edge agentic AI is designed to tackle the complexities of compliance and risk management effectively, setting new benchmarks in the industry.We are experiencing rapid growth and are looking for talented individuals to join our team. Here are some compelling reasons to consider a career with us:Prestigious Clientele: Collaborate with leading global enterprises such as FAANG and top-tier firms.Strong Financial Backing: Supported by a top-tier venture capital firm, enabling us to build a legacy company.Exceptional Team: Work alongside industry leaders from renowned companies like Airbnb, Microsoft, and Deloitte.Innovative Technology: Engage in pioneering applied AI projects that are shaping the future of compliance.Rapid Expansion: Join us as we celebrate a remarkable 10x growth in annual recurring revenue over the past year.Attractive Compensation: We offer competitive salaries and equity options.Position OverviewAs an Applied AI Engineer at Zania, you will spearhead the development of advanced AI systems that surpass traditional methods in GRC. Your focus will be on building production-level AI solutions with an emphasis on accuracy, innovation, and ethical considerations. This position is located in our Palo Alto office, and we provide relocation assistance for qualified candidates.Your ResponsibilitiesModel Development: Fine-tune foundational AI models using proprietary datasets and implement cutting-edge techniques to enhance precision in GRC tasks.AI Workflow Creation: Design and develop intricate agentic workflows that optimize compliance processes.

About UsAt Hippocratic AI, we are pioneers in the realm of generative AI for healthcare. Our innovative system enables safe and autonomous clinical dialogues with patients, achieving over 99.9% accuracy through our proprietary large language models (LLMs) within the Polaris constellation.Why Join Our TeamTransform healthcare with safety in mind. We are developing the world’s first healthcare-specific, safety-centric LLM, a revolutionary platform aimed at enhancing patient outcomes globally. This represents a new category in healthcare technology.Collaborate with industry leaders. Co-founded by CEO Munjal Shah alongside a team of esteemed physicians, hospital executives, AI innovators, and researchers from top institutions such as El Camino Health, Johns Hopkins, Stanford, Google, and NVIDIA.Supported by premier investors. Recently, we secured $126M in Series C funding at a $3.5B valuation, led by Avenir Growth, contributing to a total funding of $404M from notable investors including CapitalG, General Catalyst, and a16z.Work with the best minds in healthcare and AI. Join a team dedicated to improving healthcare, advancing science, and creating transformative technologies that ensure our platform is powerful and trusted.About the RoleAs an AI Engineer at Hippocratic AI, you will be instrumental in advancing voice-based generative AI in healthcare. Your responsibilities will include designing and developing intelligent systems that power our clinically safe healthcare agents, integrating large language models with real-time voice technology and human-centered design.This is a hands-on, cross-functional position, requiring close collaboration with AI researchers, product managers, and clinical experts to deploy advanced language and speech models. Your contributions will significantly shape how patients and providers interact safely with generative AI.

At genbio, located in the heart of Silicon Valley, we are an innovative start-up driven by a team of visionary scientists, engineers, and entrepreneurs. Our mission is to revolutionize biology and medicine with the transformative capabilities of Generative AI. We unite some of the most brilliant minds in AI and Biological Science, challenging the limits of what can be achieved. Our commitment is to holistically decode biology and create a new era of life-changing solutions. As pioneers in the field of pan-modal Large Biological Models (LBM), we are at the forefront of biomedicine, leveraging LBM training to facilitate groundbreaking advancements in healthcare. With an exceptionally robust R&D team, we are positioned to lead in LLM and generative AI technologies, making a global impact from our headquarters in California and our branch office in Paris. Join us on this exciting journey to redefine the future of biology and medicine.

About Glean:Established in 2019, Glean is a pioneering AI-driven knowledge management platform that empowers organizations to swiftly locate, organize, and disseminate information across their teams. By seamlessly integrating with tools such as Google Drive, Slack, and Microsoft Teams, Glean guarantees that employees access pertinent knowledge at optimal times, thereby enhancing productivity and collaboration. Our state-of-the-art AI technology streamlines knowledge discovery, facilitating quicker and more efficient utilization of collective intelligence among teams.Glean's origin stems from Founder & CEO Arvind Jain's profound understanding of the obstacles employees encounter while searching for and comprehending information at work. Witnessing firsthand how fragmented knowledge and a plethora of SaaS tools hinder productivity, he endeavored to create an innovative solution - an AI-powered enterprise search platform that enables individuals to swiftly and intuitively access the information they require. Since then, Glean has evolved into the foremost Work AI platform, amalgamating enterprise-grade search, an AI assistant, and robust application and agent-building capabilities to fundamentally transform employee workflows.Position Overview:Glean is on the lookout for passionate engineers ready to tackle cutting-edge challenges in data and AI security and governance. In a rapidly expanding startup environment, this role requires understanding customer needs, delving into domain-related problems and research, and devising innovative solutions. Engineers will collaborate closely with product managers and designers to navigate engineering constraints while meeting requirements, ultimately delivering intuitive experiences that enterprises can trust to keep their users secure.

Join mindrobotics as a Data Engineer, where you will play a pivotal role in developing the data systems that drive large-scale AI training for robots. This position is centered around transforming extensive data into well-organized, high-quality datasets. You will take ownership of data pipelines, labeling workflows, storage, and cloud infrastructure from start to finish. If you thrive in scaling environments, enjoy creating bespoke tools when existing solutions are inadequate, and aim to enhance data reliability for rapid iteration, you'll find a welcoming home here. Collaborate closely with researchers and engineers to ensure that our data propels swift and impactful advancements in robot training and evaluation.

Join the innovative team at OPPO US Research Center as a full-time AI/LLM Test Engineer. In this pivotal role, you'll assess the performance, reliability, and safety of Large Language Models (LLMs) within real-world applications while testing comprehensive generative AI solutions. Your efforts will directly enhance user experiences with AI-driven features by ensuring their robustness, accuracy, and alignment with product goals. This is a unique chance to lead the development of testing methodologies for groundbreaking AI technologies.Additionally, we are looking for a Contractor LLM Evaluation & QA Engineer to assist in the evaluation and validation of LLM-powered applications. You will play a key role in implementing testing strategies, executing evaluation workflows, and validating model performance across various generative AI scenarios.This contract position is perfect for individuals with hands-on experience in AI/ML evaluation, QA engineering, or data analysis who are eager to expand their knowledge of generative AI systems.

Pivotal is at the forefront of the rapidly evolving electric Vertical Takeoff and Landing (eVTOL) aircraft industry. We specialize in the design, development, and manufacturing of light eVTOL aircraft, gaining recognition for the BlackFly, the world's first light eVTOL to successfully carry out manned missions and enter the consumer market.Our aircraft are efficient, compact, and user-friendly, suitable for various applications including consumer use, public service, and defense. With over a decade of flight experience, our innovative tilt-aircraft architecture and scalable platform have proven their capability. We are excited to introduce our next-generation aircraft, the Helix, which is on track for general release and scalable production by early 2026.As mobility continues to be a key focus area in modern technology investments, Pivotal is strategically positioned in the right market at the right time. If you are ready for an adventurous career, we invite you to join our dynamic team and grow alongside us.Pivotal is searching for an individual to take ownership of our BlackFly and Helix training programs from inception to execution. This role seamlessly integrates hands-on flying and instruction with program management, curriculum design, and cross-functional teamwork. You will collaborate closely with teams in Flight, Marketing, and Sales to create a training experience that is not only safe and scalable but also enjoyable for our customers.

Hippocratic AI is building generative AI systems for healthcare, focused on safe, autonomous clinical conversations. The company’s proprietary large language models (LLMs) power these interactions, achieving an accuracy rate above 99.9%. This team is developing a healthcare-exclusive, safety-first LLM platform with the goal of improving patient outcomes worldwide. The company is led by CEO Munjal Shah and a group of physicians, hospital executives, AI researchers, and engineers from organizations such as El Camino Health, Johns Hopkins, Stanford, Google, Meta, Microsoft, and NVIDIA. Hippocratic AI is backed by leading investors in healthcare and AI, including Avenir Growth, CapitalG, General Catalyst, and a16z. The company recently completed a $126 million Series C round, reaching a $3.5 billion valuation and $404 million in total funding. Role overview The Staff AI Engineer will shape the technical direction for voice-based generative AI in healthcare. This position involves designing intelligent systems that enable clinically safe healthcare agents, blending expertise in large language models, real-time voice interaction, and user-centered product development. This is a hands-on role with significant impact. The Staff AI Engineer will oversee one or more core AI domains, such as retrieval-augmented generation (RAG), agent orchestration, evaluation, or real-time voice. Collaboration with AI researchers, product managers, and clinical experts is central, as is mentoring engineers across the organization. Contributions in this role will influence how patients and providers interact with generative AI at scale. Hippocratic AI seeks experienced technical leaders who want to apply AI to real-world healthcare challenges and set high standards for technical excellence. Location requirement This position is based in Palo Alto and requires in-person attendance at the office five days a week unless otherwise specified.

About Hippocratic AI Hippocratic AI develops generative AI technology for healthcare, focusing on safe, autonomous clinical conversations with patients. The company’s proprietary large language models (LLMs), part of the Polaris constellation, have achieved over 99.9% accuracy in clinical interactions. Our Mission and Team The goal at Hippocratic AI is to build the first healthcare-exclusive, safety-focused LLM platform to improve patient outcomes worldwide. The company was co-founded by CEO Munjal Shah, alongside physicians, hospital leaders, AI researchers, and scholars from institutions such as El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA. Hippocratic AI is backed by leading healthcare and AI investors. The company recently closed a $126M Series C round at a $3.5B valuation, bringing total funding to $404M. Investors include Avenir Growth, CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, and individuals like John Doerr and Rick Klausner. Role Overview: Performance Engineer The Performance Engineer will own performance across the entire technology stack. This role involves building automated testing harnesses to uphold system integrity, regularly evaluating models, microservices, and infrastructure. The position also includes responsibility for VoIP quality characterization. The scope covers machine learning infrastructure, backend services, and real-time communications. Key Responsibilities Design and maintain automated performance testing frameworks for the full system, including LLM inference, REST/gRPC microservices, and infrastructure components (PostgreSQL, Redis, message queues, object storage). Integrate performance testing suites into CI/CD pipelines to monitor deployments for latency and throughput regressions. Define SLIs and SLOs, and build dashboards (such as Grafana) to give engineering teams real-time visibility into system health. Location This position is based in Palo Alto.

Join Zania: A Catalyst for ChangeAt Zania, we are revolutionizing Governance, Risk, and Compliance (GRC) solutions, tackling the challenges that enterprises face in this critical area. Despite spending millions, many organizations grapple with outdated systems that fail to deliver satisfaction, making this an opportune moment for innovation.Our ambition is to create agentic AI for Governance, Risk, and Compliance, addressing these pressing issues. As we soar on a trajectory of rapid growth, we are developing intelligent agents capable of automating complex risk and compliance workflows. Here’s what makes Zania an incredible place to build your career:Prestigious Clientele: Our customers include some of the leading global enterprises, such as FAANG companies and top-tier firms.Strong Financial Backing: Supported by a prominent Tier 1 venture capital fund, we have the resources necessary to build a sustainable future.Elite Team: Our workforce comprises top-tier AI and Security experts from renowned companies like Airbnb, Microsoft, and Deloitte.Cutting-Edge Technology: Our engineers are at the forefront of applied AI, developing next-gen systems that will redefine compliance.Rapid Expansion: With a 10x increase in ARR over the past year, we are scaling at an unprecedented pace.Attractive Compensation: We offer competitive salaries and equity options.Your Role:As an Engineering Manager at Zania, you will assume a pivotal player-coach role, guiding a high-performing engineering team in developing our core AI platform. We are looking for a technically adept leader who is hands-on, dedicating a significant portion of your time to coding and making key architectural decisions. You will balance technical execution with team leadership, ensuring we maintain our rapid development pace while building a robust, scalable, and secure product for leading enterprises.Your Responsibilities:Code Contributions: Lead technical initiatives by dedicating over 50% of your time to coding, reviewing pull requests, and solving complex engineering challenges.

AI Research Engineer, Scaling | InfrastructureLocation: Palo Alto, CA (on-site)At 1X, we are pioneering the development of humanoid robots designed to collaborate with humans, addressing labor shortages and fostering abundance across various sectors.The Role: As an AI Research Engineer specializing in Scaling, you will be responsible for architecting and implementing robust infrastructure that facilitates large-scale training, evaluation, and deployment for our fleet of robots. Your contributions will be essential in transitioning experimental systems into production-ready platforms, optimized for throughput, latency, and overall performance in both datacenter and edge environments. This role will significantly impact the efficiency of learning and inference processes, directly influencing the capabilities of our general-purpose humanoid robots.

Join us at Rhoda AI, where we are pioneering the full-stack foundation for the next generation of humanoid robots. Our mission encompasses everything from high-performance, software-defined hardware to the foundational models and video-based world models that govern them. Our robots are designed to navigate complex, real-world environments and tackle scenarios that have not been encountered during training. We are a collective of top-tier researchers from esteemed institutions like Stanford, Berkeley, and Harvard, focusing on the intersection of large-scale learning, robotics, and systems. With over $400M raised, we are committed to substantial investments in R&D, hardware development, and scaling manufacturing to bring our vision to life.As a Robotics Software Engineer, you will play a crucial role in developing and maintaining the software that drives our robots. Your primary focus will be on integrating sensors and perception systems to facilitate reliable operations in varied customer environments.

Join us in transforming healthcare through AI.At Qualified Health, we are at the forefront of innovation, harnessing the power of Generative AI to revolutionize the healthcare landscape. Our robust infrastructure ensures safe AI governance, facilitates the creation of healthcare-specific agents, and enables real-time algorithm monitoring—partnering with leading health systems to effect meaningful change.This is not merely a position; it is a chance to shape the future of AI in healthcare, tackle intricate challenges, and significantly enhance patient care. If you are driven, creative, and eager to accelerate progress, we invite you to become a part of our team.Help us define the future of healthcare. Job Overview:We are seeking a dedicated Applied AI Engineer who will be pivotal in developing and scaling AI workflows that are practical and impactful. This role is tailored for engineers who are adept at deploying generative AI applications. You will primarily focus on constructing agentic workflows and integrating production-grade solutions across various product lines.Collaboration with product and engineering teams will be key as you design, deploy, and enhance AI-driven applications that address real-world healthcare issues.Key Responsibilities:Create and implement agentic workflows and automation pipelines (approximately 60% of the role).Develop and sustain production-ready services, REST APIs, and integrations (approximately 30%).Deliver production solutions swiftly, emphasizing agility and efficiency.Collaborate with product, engineering, and design teams to provide comprehensive AI-powered features.Assess and integrate cutting-edge LLMs (OpenAI, Anthropic, Mistral, etc.) for production use cases.Contribute to the development of a scalable workflow infrastructure capable of supporting 100+ workflows.Required Qualifications:Bachelor’s degree with 4 years of experience OR Master’s degree with 2 years in Computer Science, Engineering, or a related field.Robust software engineering foundation (Python is essential; adherence to strong coding practices is a must).Experience in developing AI-powered applications within the last 1–2 years utilizing technologies such as ChatGPT, Claude, Anthropic, or Mistral.Practical experience in REST API development and service deployment in cloud environments (preferably GCP).Solid understanding of MLOps, model deployment, and ...

At Rhoda AI, we are pioneering the development of the full-stack architecture for the future of humanoid robotics. Our innovative work spans from high-performance, software-defined hardware to foundational models and visual models that govern it. Our robots are designed as generalists, capable of navigating complex, real-world environments and addressing scenarios that were not included in their training. We collaborate at the intersection of large-scale learning, robotics, and systems, with an exceptional research team featuring experts from Stanford, Berkeley, Harvard, and other prestigious institutions. We are not merely creating a feature; we are establishing a groundbreaking computing platform for physical tasks. With over $400M raised, we are heavily investing in R&D, hardware development, and scaling up manufacturing to turn our vision into reality.We are seeking a talented Full Stack Software Engineer to contribute to the development of our crucial automation platform. This tool is vital for how we gather data, validate task performance, manage model versions, and quickly iterate on model training and deployment.

At solidcore, our coaches play a pivotal role in guiding clients through our signature 50-minute, full-body, low-impact workout sessions. They are tasked with educating clients on the proper use of our resistance-based machines while motivating them to conquer challenging workouts. Each solidcore class is intimate and focused, allowing coaches to offer personalized attention and accountability in a supportive group environment. With dimmed lights and energizing music, our community cultivates inspiration and camaraderie. Ultimately, solidcore coaches are deeply committed to empowering others to unlock their full potential.All coaches will embark on solidcore's in-depth training program. Our training cohorts are intentionally small and selective, ensuring individualized support and strong connections. Training managers are dedicated to the success of each coach-in-training, providing constructive feedback and measurable goals. Previous experience in fitness instruction or certification is not a prerequisite.As solidcore continues to expand rapidly, team members who exhibit a genuine passion for our brand will find unique opportunities for professional growth within the company.

Hippocratic AI builds generative AI technology for healthcare, focusing on safe, autonomous clinical conversations with patients. The company’s proprietary large language models, known as the Polaris constellation, drive this platform and have achieved an accuracy rate above 99.9%. As a Senior Staff AI Engineer based in Palo Alto, this role centers on advancing healthcare through a safety-first approach. The team is working to launch the first healthcare-specific, safety-centric large language model, with the goal of improving patient outcomes worldwide. Collaboration and Team The team includes experienced physicians, hospital executives, AI researchers, and innovators from leading institutions such as El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA. Co-founder and CEO Munjal Shah leads a group committed to scientific progress and reliable technology in healthcare AI. Funding and Support Hippocratic AI is backed by a strong group of healthcare and AI investors. The company recently closed a $126M Series C funding round at a $3.5B valuation, bringing total funding to $404M. Investors include Avenir Growth, CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others. Location Requirement This position requires working onsite at the Palo Alto office five days a week. The company values in-person collaboration to strengthen team culture and accelerate innovation.

Role Overview:Join Nace.AI as a Machine Learning Engineer, where you will be instrumental in transforming advanced machine learning research into scalable, production-ready applications. Collaborating with interdisciplinary teams, you will pinpoint areas where machine learning can enhance product offerings, design robust model-centric architectures, and guarantee their smooth integration into practical applications. This role demands a harmonious blend of theoretical insight and hands-on engineering, focusing on creating dependable, maintainable, and impactful AI-driven features that align with Nace.AI's strategic goals.Key Responsibilities:Develop and sustain complete ML systems, including synthetic data pipelines, model training, debugging, and performance assessment.Enhance large language models (LLMs) and utilize meta-learning strategies to boost model generalization and efficiency.Refine existing Nace.AI models by integrating breakthroughs from the latest ML research.