Senior Android Engineer at Inflection AI | Palo Alto, CA

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 (I…

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.

Join Wealthfront as an Android Engineer and be part of our dynamic team! Collaborating within a cross-functional scrum team, you will be instrumental in designing and implementing innovative investment account and cash account features for our Android application. Your role will encompass not only app development but also the creation of automated tests and the integration of our proprietary design systems with our backend API. Help us realize our goal of making investing effortlessly simple and comprehensible for our clients!

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.

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.

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.

Speechify seeks a Tech Lead for its Android Core Product team in Palo Alto, CA. This leadership role centers on guiding the development and enhancement of Android applications that form the backbone of the Speechify platform. The focus is on delivering reliable app performance and a smooth user experience. Role responsibilities Lead a team of Android engineers through every phase of product development Shape and influence architectural choices for the Android product suite Work closely with cross-functional partners to clarify goals and coordinate deliverables Mentor junior team members and support their technical growth Promote software development best practices throughout the team Requirements Proven experience leading Android development teams Deep understanding of Android application architecture and performance tuning Comfort collaborating with product, design, and engineering partners Interest in speech technology and motivation to create meaningful impact This position is located in Palo Alto, CA.

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.

Join our dynamic team as a Staff Software Engineer - Android in a hybrid work environment based in our Palo Alto office, where attendance is required on Tuesdays and Thursdays.What makes this opportunity exciting?Be an integral part of developing the next iteration of the Grindr app! Collaborating with our talented Android team, you’ll tackle complex challenges, harness cutting-edge technologies, and contribute to an innovative platform that serves the LGBTQ+ community on a grand scale.Your responsibilities will include:Collaborating with a brilliant cross-functional and cross-timezone team to enhance the Grindr user experience.Navigating multiple work streams and embracing ambiguity to foster high-level strategic thinking.Driving innovation through data-informed decisions that lead to the adoption of new technologies and workflows.Elevating team technical skills by introducing new tools and methodologies.Building robust Android applications with a focus on:Proficiency in Kotlin programming.Managing extensive codebases while ensuring clarity and maintainability.Optimizing performance for complex applications to enhance user satisfaction.Designing scalable applications from the ground up.Implementing software engineering best practices and design patterns such as MVVM, Coordinator, one-way data flow, and modular architecture.What we admire about you:You take initiative and can drive changes beyond your immediate team.You possess at least 6 years of experience in developing complex Android applications.Your technical expertise inspires creativity and innovation among your peers.You have experience in product leadership and can make sound decisions that balance product needs and technical constraints.Your collaborative nature enables you to work effectively with diverse teams.

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 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.

DataHub is a pioneering AI & Data Context Platform utilized by over 3,000 leading enterprises, including giants like Apple, CVS Health, Netflix, and Visa. Developed in collaboration with a vibrant open-source community comprising over 13,000 members, DataHub's metadata graph offers profound context about AI and data assets, ensuring unparalleled scalability and extensibility.Our enterprise SaaS product, DataHub Cloud, provides a fully managed solution equipped with AI-driven discovery, observability, and governance capabilities. Organizations depend on DataHub's offerings to expedite their data investments' return, guarantee AI system reliability, and enforce unified governance, allowing AI and data to harmonize and restore order to data chaos.The ChallengeAs AI and data products become integral to business operations, enterprises grapple with a metadata crisis:A lack of a unified approach to tracking the intricate data supply chain supporting AI systems.Engineering teams face hurdles in data discovery, lineage, and governance.Organizations require machine-scale metadata management beyond mere human-browsable catalogs.Why This MattersThis is where infrastructure meets impact. The metadata layer you create will directly fuel the next generation of AI systems at an unprecedented scale. Your contributions will determine how securely and efficiently thousands of organizations deploy AI, influencing millions of users globally.The RoleWe seek an outstanding Backend Engineer to spearhead the development of DataHub's Platform framework – the backbone that connects various data systems and drives our metadata collection functionalities.You’ll BuildScalable, fault-tolerant ingestion systems for enterprise-grade metadata.Clean, intuitive APIs for our connector ecosystem.Event-driven architectures for real-time metadata processing.Schema mapping between diverse systems and DataHub's unified model.Versioning systems for AI assets (training data, model weights, embeddings).

About FlowAt Flow, we are redefining the essence of living, working, and connecting. We are more than just a real estate company; Flow is a pioneering brand, a sophisticated technology platform, and a dynamic operational ecosystem encompassing condominiums, hotels, multifamily residences, and office spaces. Our goal is to create a transformative living experience that emphasizes flexibility, connectivity, and authentic community, delivering real value to everyone who calls Flow home.Our mission embodies oneness: prioritizing our residents and their experiences while nurturing connections with ourselves, each other, and the environment. By placing people at the heart of our endeavors, we are cultivating vibrant, human-centric communities where life, work, creativity, and leisure seamlessly coexist.Position OverviewAs an integral part of our engineering team, you will play a pivotal role in shaping the technical landscape at Flow. We are actively seeking a Senior Platform Engineer who is passionate about designing, developing, and deploying robust platform solutions while ensuring the reliability, scalability, and security of our infrastructure. Your expertise will be crucial in propelling Flow towards its objectives and enhancing the productivity of our product engineering team.At Flow, we are committed to leveraging cutting-edge technology to refine decision-making processes within the organization. As trailblazers in our sector, we aim not just to adapt to the swiftly evolving realm of platform engineering but to lead its advancement.

Join our mission to revolutionize healthcare.At Qualified Health, we are at the forefront of transforming healthcare through the innovative use of Generative AI. Our robust infrastructure ensures safe AI governance, the creation of healthcare-specific agents, and real-time algorithm monitoring, collaborating with leading health systems to foster significant change.This role is more than just employment; it’s a chance to mold the future of AI in healthcare, tackle intricate challenges, and create a profound impact on patient care. If you are driven, creative, and eager to work in a fast-paced environment, we want you to join our team.Be part of shaping the future of healthcare. Position Overview:We are seeking an experienced Platform Engineer to enhance our Gen AI for Healthcare SaaS platform. As a pivotal member of our initial engineering team, you will significantly influence the development and upkeep of our advanced healthcare AI solution's core services, working closely with the team to guarantee the platform's success.Key Responsibilities:Develop and uphold core platform services, ensuring flawless integration with the overall architecture.Create clean, efficient, and maintainable code adhering to industry best practices.Collaborate with team members to produce and update technical documentation.Contribute to automation of infrastructure, monitoring, and alerting strategies.Assist in managing project timelines, milestones, and deliverables.Engage in code reviews, providing constructive feedback and suggestions for enhancements.Support and troubleshoot issues in production environments.

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.

Mudflap is revolutionizing the $800 billion trucking industry, which serves as a vital pillar of the U.S. economy. Our innovative payment solutions empower truckers to save significantly on their primary operational cost: fuel. Additionally, we connect our network of fuel stop partners with new, hard-to-reach clients. As a rapidly expanding marketplace, we are on the lookout for a passionate, customer-focused individual to join our dynamic team.In this pivotal role as a Senior Data Engineer, you will be instrumental in crafting the data infrastructure that enables faster and smarter decision-making across our organization. You will design, scale, and manage our modern, cloud-based data platform, ensuring that our data flows seamlessly and is effectively utilized by teams throughout the company.This is a rare opportunity to establish data standards, influence technical direction, and guarantee the quality, consistency, and scalability of the data platform relied upon by hundreds of thousands of small and medium-sized trucking companies each day.Our Palo Alto office offers a hybrid work environment that encourages collaboration in the office while also providing the flexibility to work remotely.