Bioinformatics Engineer - Spatial AIJoin LatchBio, where our innovative AI agents empower over 4,000 scientists to effectively analyze and interpret complex data generated from cutting-edge spatial and multi-omic tools within the biotech industry.We are on the lookout for proficient bioinformatics engineers with a robust background in both computational and experimental aspects of spatial biology. Your role will be pivotal in shaping the future of agentic analysis tools.Your ResponsibilitiesLead comprehensive spatial transcriptomics analyses for various projects, from processing raw platform outputs to quality control, cell segmentation, cell typing, differential expression/enrichment, and spatial inference, ultimately substantiating biological claims.Develop reproducible workflows that provide transparent decision traces detailing filters applied, rationale behind them, and factors that could alter conclusions.Engage in advanced spatial reasoning techniques beyond standard clustering, focusing on neighborhood and adjacency enrichment, spatial gradients, spatial differential expression, and analyses that account for spatial autocorrelation.Tackle platform and data challenges with accuracy, transforming ambiguous results into clear hypotheses, conducting sanity checks, and creating systematic debugging plans.Essential QualificationsProven experience in end-to-end data analysis using one or more spatial technologies such as Seeker, Trekker (Slide-seq), MERFISH, DBiT-seq, Xenium, Visium, Stereo-seq, GeoMx, CosMx, or equivalent assays.Experience analyzing 3 or more datasets from raw data to actionable insights for publications or industry-related experiments.Strong understanding of kit-specific quality control thresholds and the ability to discern meaningful numerical outcomes.Familiarity with computational biology tools tailored for spatial tasks, such as cell segmentation, cell typing, and ligand-receptor interaction analysis.Preferred QualificationsPublished work utilizing contemporary spatial biology methodologies.Experience in developing tools or software packages for spatial biology applications.Background in generating training data for AI agents or foundational models.Who You AreYou are a scientifically adept engineer who seamlessly integrates experimentation with computational analysis. You embrace the possibility of being incorrect, adapt your views based on evidence, and document your decisions to enable reproducibility and constructive critique. Your communication skills are exceptional, and you are committed to maintaining the integrity of your work.

Senior Bioinformatics EngineerJoin LatchBio, where we are pioneering AI agents that empower over 4,000 scientists in analyzing and interpreting data from cutting-edge spatial and multi-omic tools in the biotechnology sector.We are looking for a highly skilled Senior Bioinformatics Engineer with a robust computational background—ideally, your expertise lies in computer science, mathematics, or statistics, complemented by a strong grasp of biological concepts. In this pivotal role, you will not only perform complex analyses but also establish quality benchmarks for your peers: reviewing analytical processes, identifying errors, and ensuring that all outputs are scientifically sound and defensible.Your ResponsibilitiesLead comprehensive biological data analyses across various projects, guiding data from raw platform outputs through QC, dimensionality reduction, cell typing, and differential expression to robust biological claims.Oversee and evaluate the work of fellow bioinformatics engineers, ensuring analytical integrity and that all documentation meets gold-standard quality.Develop reproducible workflows and maintain clear decision logs detailing filtering processes and rationale, changes in conclusions, and criteria for falsifying claims.Design and implement computational tools or packages that enhance analysis efficiency within the team.Essential QualificationsA solid understanding of algorithms for high-dimensional data analysis (e.g., PCA, UMAP, neighborhood graphs, spectral methods) and the ability to discern their appropriate applications.Proficient in statistical inference concepts: hypothesis testing, confidence intervals, estimators, and corrections for multiple testing.Demonstrated experience in publishing or deploying computational tools or packages utilized by external users (open-source libraries, internal platforms, or production pipelines).Successfully analyzed 3 or more datasets from raw data to actionable insights, suitable for publications or impactful industry experiments.Knowledge of the landscape of computational biology tools for prevalent analysis tasks (e.g., clustering, cell typing, differential expression, enrichment).Preferred ExperienceExperience with comprehensive spatial transcriptomics analysis for technologies such as Seeker, Trekker (Slide-seq), MERFISH, DBiT-seq, Xenium, Visium, Stereo-seq, GeoMx, CosMx, or similar assays.Advanced spatial reasoning skills beyond standard clustering, including neighborhood and adjacency enrichment, spatial gradients and niches, spatial differential expression, and spatial autocorrelation.

Role Overview LatchBio is hiring a Bioinformatics Engineer focused on Single-Cell AI in San Francisco. This role centers on applying artificial intelligence to single-cell genomics data, with the goal of advancing personalized medicine. What You Will Do Analyze single-cell genomics datasets using AI methods Work with teams from different scientific backgrounds to build bioinformatics solutions Help uncover new insights into complex biological systems

Join the Prima Mente TeamAt Prima Mente, we are at the forefront of biology and artificial intelligence. Our innovative lab is dedicated to generating unique data, creating versatile biological foundation models, and translating groundbreaking discoveries into both research and clinical applications. Our primary focus is on unraveling the complexities of the brain to enhance its health, safeguard it against neurological disorders, and foster cognitive enhancement. Our diverse team of AI researchers, experimentalists, clinicians, and operations experts spans across London, San Francisco, and Dubai.Position Overview - Multi-omicsIn this role, you will be instrumental in formulating and questioning significant biological hypotheses aimed at discovering biomarkers and targets pertinent to neurological diseases.Key Responsibilities:Conduct feature engineering and prepare datasets for machine learning applications and foundational AI model training.Analyze in-house wet lab experiments to develop proprietary methods and generate data for our models.Build and optimize multi-omic bioinformatics pipelines.Establish and manage collaborative research initiatives with academic and industry partners focused on Alzheimer's disease biology.Growth ExpectationsWithin 1 month: You will independently manage your own analyses and experiments using our cloud computing environment, creating bespoke workflows to efficiently process data.Within 3 months: Your research will be seamlessly integrated into our AI models.Within 6 months: Your pipelines will be running in automated production, contributing to daily AI model training. You will collaborate closely with AI/ML engineers and lab scientists, leading the technical aspects of external partnerships.Who You AreYou aspire to push the boundaries of what is achievable at the intersection of AI and biology. You possess experience in deriving novel biological insights from multi-omic, multi-modal datasets, along with a track record of top-tier publications and/or patents.We understand that not every candidate will meet every qualification. We encourage strong applicants to apply, even if they specialize in certain areas and wish to expand their expertise in others.Preferred Qualifications:Practical experience in generating insights from biological datasets (genomics, epigenetics, transcriptomics, proteomics, ATAC-Seq).Proficient software engineering skills, including the ability to write high-quality code for operational purposes.

Join Prima Mente: A Leader in Biology AIAt Prima Mente, we are redefining the frontier of biology through artificial intelligence. Our mission is to generate unique datasets, develop versatile biological foundation models, and translate groundbreaking discoveries into impactful research and clinical outcomes. With a commitment to understanding the complexities of the brain, we aim to shield it from neurological diseases while enhancing overall health. Our diverse team of AI researchers, experimentalists, clinicians, and operational experts operates across London, San Francisco, and Dubai.Role Overview: GPU/CPU-Accelerated BioinformaticsWe are seeking a skilled Bioinformatics Software Engineer to architect and implement scalable production pipelines for processing multi-omics data. The successful candidate will enable rapid transitions from hypothesis to patent-ready solutions in a matter of months.Key Responsibilities:Design and implement bioinformatics pipelines optimized for GPU/CPU utilization utilizing tools like Flyte and Nextflow, capable of processing over 1,000 samples at scale.Optimize performance and cost efficiency by leveraging GPU/CPU acceleration where it provides the greatest benefit.Collaborate with experimental and machine learning teams to validate computational results and align processing with model requirements.Foster and manage collaborations with academic and industrial research partners.Growth Expectations1 Month: You will be deploying your workflows on GPU/CPU-accelerated cloud infrastructure to process multi-omic experiments, while building relationships with AI/ML and wet lab teams to understand their requirements.3 Months: Your optimized pipelines will be processing thousands of samples with substantial speed enhancements and reduced costs, yielding publication and patent-ready outcomes.6 Months: Your automated pipelines will support daily AI model training, and you will co-design experiments alongside AI/ML engineers, leading technical execution on external collaborations.Your ProfileYou are passionate about pushing the boundaries of AI and biology. As an engineer rather than an analyst, you thrive on enhancing performance and efficiency while architecting robust systems. You are comfortable making rapid technical decisions and iterate quickly.Desired QualificationsExperience in bioinformatics, computational biology, or a related field.Proficiency in software engineering, particularly in developing scalable data processing pipelines.Strong understanding of multi-omics data and methods.Familiarity with GPU/CPU acceleration techniques.Excellent communication and collaboration skills.

Join Mithrl as a Lead Bioinformatics EngineerAt Mithrl, we envision a future where groundbreaking medicines are swiftly delivered to patients, transforming the landscape of health care.Mithrl is pioneering the world's first commercially available AI Co-Scientist, a revolutionary discovery engine that converts complex biological data into actionable insights in mere minutes. By simply asking questions in natural language, scientists receive immediate responses with comprehensive analyses, innovative targets, hypotheses, and patent-ready reports.Our impressive growth trajectory includes:12X year-over-year revenue growthTrusted by top-tier biotech firms and major pharmaceutical companies across three continentsFacilitating real breakthroughs from target discovery to patient outcomes.About the RoleWe are in search of an innovative Lead Bioinformatics Pipeline Engineer to architect and expand Mithrl’s multimodal scientific processing pipelines. You will be responsible for developing workflows that convert raw biological data into clean, reproducible outputs that fuel Mithrl’s AI Co-Scientist. Your work will encompass a range of modalities including microarray, imaging, spatial transcriptomics, genomics, epigenomics, flow cytometry, and more.This pivotal role lies at the core of our technical infrastructure. You will design Nextflow and nf-core style pipelines, implement modality-specific validation and quality control layers, and collaborate closely with our Tabular Data Team and Knowledge Curation Team to ensure seamless data harmonization, variable ID mapping, and schema alignment. Your contributions will enable scientists to pose inquiries and receive accurate, data-driven answers instantaneously.If you are passionate about constructing robust scientific workflows and tackling high-impact challenges, you will find your place here.

Join Prima Mente as a Bioinformatics EngineerAt Prima Mente, we are pioneers in the field of biology and artificial intelligence. Our mission is to generate novel data, create versatile biological foundation models, and turn groundbreaking discoveries into impactful research and clinical applications. Our primary focus is on understanding the human brain—protecting it from neurological diseases while enhancing its capabilities for better health. With teams located in London, San Francisco, and Dubai, we are committed to pushing the boundaries of AI and biology.Role Overview - Multi-omicsAs a Bioinformatics Engineer, you will play a crucial role in formulating and testing significant biological hypotheses aimed at discovering markers and targets related to neurological disorders.Key Responsibilities:Develop multi-omic bioinformatics pipelines.Conduct feature engineering and prepare datasets for downstream machine learning, foundational AI training, and applications.Analyze in-house wet lab experiments to create proprietary methods and data for our models.Growth ExpectationsWithin 1 month: You will manage your analyses and experiments using our cloud computing environment, developing workflows to process your data efficiently.Within 3 months: You will independently own and optimize an analysis or data processing pipeline, producing results suitable for patenting and publication.Within 6 months: You will have integrated your research findings into our AI models.Who You AreYou are eager to redefine the possibilities at the intersection of AI and biology. You possess experience in deriving insights from multi-omic and multi-modal data, contributing to top-tier publications.We understand that not every candidate will meet all the criteria. Ideal applicants will have strengths in some areas and a desire to develop in others.Ideal Qualifications:Experience generating insights from biological datasets (including genomics, epigenetics, transcriptomics, proteomics, and ATAC-Seq).Strong software engineering skills, with the ability to produce high-quality code that supports our software infrastructure.Familiarity with data wrangling, engineering, analysis, and visualization libraries in Python or Julia, as well as frameworks like Spark, Hadoop, and NoSQL.

Join Veracyte, a leader in transforming cancer care through innovative diagnostics that empower patients and clinicians alike. At Veracyte, we provide an inspiring work environment where you can make a significant impact on patients' lives while advancing your career. Our culture, known as the Veracyte way, emphasizes collaboration, resilience, and a commitment to excellence.Our Core Values:We Seek A Better Way: We boldly innovate and learn from challenges to improve cancer care.We Make It Happen: We prioritize urgency, quality, and enjoyment in our work.We Are Stronger Together: We foster open collaboration and celebrate our collective successes.We Care Deeply: We honor our diverse backgrounds and support each other in doing what is right.The Role:We are on the lookout for an enthusiastic Bioinformatics Research Scientist to join our Translational Bioinformatics group within the Bioinformatics and Data Science Team. This pivotal role involves leveraging computational and statistical techniques on extensive transcriptomic and genomic datasets, particularly focusing on prostate cancer biology and its clinical implications. The ideal candidate will play a key role in identifying clinically relevant molecular signatures that enhance disease stratification, prognosis, and the development of diagnostics, while effectively communicating findings to both scientific and clinical audiences. This position offers a unique opportunity to bridge the realms of data science, biology, and clinical research through close collaboration with scientists, clinicians, and cross-functional teams to convert complex data into actionable insights.

Join Our Innovative Team at ArcadeAt Arcade, we are revolutionizing the way physical products are created with our cutting-edge AI platform. We empower individuals to turn their creative ideas into tangible products seamlessly, utilizing natural language and generative AI. Our mission is to democratize product design, making it as effortless as sharing a post online.Backed by a remarkable $42M in funding from industry-leading investors including Reid Hoffman and Ashton Kutcher, our company is a rising star in the tech landscape. Guided by our founder Mariam Naficy and a team steeped in AI and design expertise, we are at the forefront of a new frontier that merges AI, personal expression, and on-demand manufacturing.Your Role as an Applied AI EngineerWe are on the lookout for an Applied AI Engineer to enhance our generative AI capabilities. This position combines hands-on model development with the integration of advanced AI techniques into our production systems. You will collaborate with diverse teams to conduct research, experiment with models, and implement AI-driven products.

Merge Labs is a pioneering research laboratory dedicated to merging biological and artificial intelligence to enhance human potential, autonomy, and experiences. Our mission is to advance this integration through the creation of innovative brain-computer interfaces that communicate with the brain at high bandwidth, seamlessly incorporate cutting-edge AI technology, and are designed to be safe and accessible for all users.About the TeamOur Bio team is at the forefront of designing, constructing, and evaluating the biotechnologies that underpin the next generation of brain-computer interfaces. We leverage molecular engineering, synthetic biology, neuroscience, and advanced physical methods like ultrasound to establish minimally invasive, high-bandwidth connections with neurons. The Bio team develops core molecular technologies, rigorously tests their performance both in vitro and in vivo, and showcases their advanced functionalities in animal models. We create custom experimental setups and pipelines while collaborating closely with engineers and data scientists, fostering interdisciplinary innovation to tackle complex challenges in biotechnology.About the RoleAs an Imaging Research Associate, you will play a crucial role in both the execution and innovation of our research initiatives. Your responsibilities will include the preparation of high-quality biological samples and the management of advanced microscopy systems, ensuring the delivery of consistent and well-characterized imaging data. This role demands technical precision, a systems-oriented mindset, and meticulous attention to reproducibility, transforming complex experimental protocols into reliable workflows that drive discovery across the organization.As you gain expertise with these systems, you will have opportunities to contribute to methodological innovations in partnership with functional team leaders. This may involve designing and validating new imaging protocols, exploring unique sample preparation techniques, and assisting in the development of novel hardware configurations tailored to Merge’s technologies. Ultimately, this position allows for significant innovation in imaging methodologies and technologies, broadening the experimental capabilities of the organization.

About the RoleJoin our innovative team at saris-ai, a pioneering applied AI startup based in San Francisco and Montreal. We are on a mission to redefine the banking industry by addressing a $100 billion annual challenge that is rapidly evolving. Our cutting-edge multi-turn AI agentic systems are at the forefront of this transformation.Our objective is to develop automated solutions that require sophisticated long-context reasoning, seamless tool integration across legacy systems, and stringent compliance mechanisms, particularly in scenarios where conventional answers are elusive.With successful real-world deployments and a rapidly expanding client base, we are seeking passionate and technically adept builders eager to make a significant impact from the start.We are in search of an AI Sales Engineer who will play a pivotal role in enhancing productivity and efficiency within financial institutions through innovative AI solutions. In this role, you will lead discovery calls with various departments to identify workflow challenges and design impactful AI-driven solutions. You will serve as the technical authority during sales cycles, assisting clients in recognizing problems, framing solutions, and articulating ROI.This position combines elements of customer engagement and workflow analysis.Your Key Responsibilities Include:Conduct discovery and technical scoping calls with potential clients to uncover operational inefficiencies in financial institutions.Develop workflow maps and reports to identify bottlenecks and pinpoint opportunities for agentic AI automation.Collaborate with the Sales team to co-manage the pre-sales process from initial discovery to proposal delivery.Engage with executive stakeholders, presenting clear and compelling insights on how Agentic AI can deliver measurable ROI and transform operations at scale.Work closely with cross-functional teams including sales, customer success, and product to ensure customer satisfaction and success.

About Retell AIAt Retell AI, we are pioneering the future of call centers through innovative voice AI technology. Our cutting-edge solutions are transforming how companies engage with customers.In just 18 months since our inception, we've empowered thousands of businesses with our AI voice agents that efficiently manage sales, support, and logistics calls, significantly reducing the need for large teams of human agents. Supported by industry-leading investors including Y Combinator and Alt Capital, we've grown our annual recurring revenue from $5M to an impressive $36M while expanding our team from 5 to 20 talented individuals since 2025.Our ambitious vision for 2026 is to develop a state-of-the-art customer experience platform where entire contact centers are driven by AI. Unlike basic automation requiring constant human oversight, we’re engineering intelligent AI “workers” capable of serving as frontline agents, quality assurance analysts, and managerial roles, all while optimizing customer interactions continuously.We are rapidly expanding and seeking driven builders who thrive on solving complex technical challenges, act decisively, and wish to make a tangible impact in one of the fastest-growing voice AI startups.Join us in shaping the future!Recognized as a top 50 AI application in the a16z list: https://tinyurl.com/5853dt2xRanked #4 in Brex's Fast-Growing Software Vendors of 2025: https://www.brex.com/journal/brex-benchmark-december-2025Featured among the top startups on: https://leanaileaderboard.com/

Join a pioneering team of former Google engineers who have developed ground-breaking defensive technologies, such as Safe Browsing and reCAPTCHA. We are on a mission to confront an urgent challenge: combating the rising tide of adversarial AI attacks that threaten organizations globally.Operating in stealth mode, we are targeting a lucrative $5B+ market that is primed for innovation. Conventional detection methodologies are proving inadequate against the speed and sophistication of AI-driven assaults. Current adversaries are leveraging AI to engineer tailored, high-evasion attacks, leaving traditional systems vulnerable.Your Role:You will design a network of AI agents that are rapid, cost-effective, and precise, collaborating to identify and neutralize emerging threats. Your work will dive deep into real-time threat data, continuously evolving your agents in a fast-paced environment. These agents will function under an orchestration layer that fosters quick adaptation and learning.The Excitement of the ChallengeRapidly Evolving Models: The landscape changes daily; solutions that worked yesterday may be outdated today.Intelligent Adversaries: We are engaged in a real-time arms race against cunning, AI-enhanced attackers crafting sophisticated payloads.No Existing Playbook: We are forging new detection paradigms as swiftly as threats evolve. This high-stakes work places you in the heart of the action from day one.If you thrive on solving challenging problems with rapid feedback, this is your opportunity.Why We Are Positioned to SucceedExpansive Market: The market is vast at $5B and expanding quickly, while established players struggle to adapt.Proven Track Record: Our team has previously developed the foundational technology for Safe Browsing (serving over 5B users) and reCAPTCHA (protecting more than 5M websites) during our time at Google.Experienced Team: This is our third endeavor in creating a category-defining security enterprise, and we know how to scale our technology and our organization effectively.Deeply Integrated AI and Security: We embed AI from the outset rather than layering it on top.Top Talent: We hire only the highest achievers; many on our team were in the top 1% of engineers at Google. If you excelled in your previous role, you will fit right in.Agility: We prioritize speed and efficiency in everything we do.

About World Labs: At World Labs, we are pioneers in developing foundational world models capable of perceiving, generating, reasoning, and interacting with the 3D world. Our mission is to unlock the full potential of AI through spatial intelligence, transforming vision into action, perception into reasoning, and imagination into innovation. We envision a future where spatial intelligence opens new avenues for storytelling, creativity, design, simulation, and immersive experiences across virtual and physical realms. Our team comprises top experts united by a shared curiosity and passion for technology, ranging from AI research to systems engineering and product design. This synergy creates a dynamic feedback loop between our state-of-the-art research and the products that empower our users. Role Overview We are seeking a SLAM Specialist to conceptualize, develop, and enhance cutting-edge simultaneous localization and mapping systems, ensuring accurate and resilient spatial understanding derived from real-world sensor data. Your focus will be on modern SLAM techniques, encompassing both classical and learning-based methodologies, with an emphasis on scalable state estimation, sensor fusion, and long-term mapping within complex, dynamic environments. This role is hands-on and research-oriented, perfect for someone who thrives at the intersection of robotics, computer vision, and probabilistic inference. You will work closely with research scientists, ML engineers, and systems teams to translate advanced SLAM concepts into production-ready capabilities that serve as the backbone of our world modeling stack. What You Will Do: Design and implement advanced SLAM systems for real-world scenarios, including visual, visual-inertial, lidar, or multi-sensor configurations. Develop robust localization and mapping pipelines, focusing on pose estimation, map management, loop closure, and global optimization. Research and prototype innovative learning-based or hybrid SLAM approaches that synergize classical geometry with contemporary machine learning techniques. Construct and maintain scalable state estimation frameworks, including factor graph optimization, filtering, and smoothing methodologies. Devise sensor fusion strategies that incorporate cameras, IMUs, depth sensors, lidar, or various modalities to enhance robustness and precision. Examine failure modes in real-world SLAM applications (e.g., perceptual aliasing, dynamic scenes, drift) and develop principled solutions. Create evaluation frameworks, benchmarks, and metrics to assess SLAM accuracy, robustness, and performance across extensive datasets. Optimize performance throughout the stack, including adherence to real-time constraints.

About the RoleWe are on the lookout for a skilled Forward Deployed AI Engineer to join our dynamic team at Stack AI. This position is crucial for implementing enterprise-level AI solutions with an emphasis on Retrieval-Augmented Generation (RAG) pipelines and large language model (LLM) workflows. Your contributions will significantly enhance our offerings to Fortune 500 companies and enterprises across diverse sectors.Role Overview:In this role, you will seamlessly integrate large language models into enterprise systems, collaborating with strategic accounts to tailor solutions that meet their technical needs. Utilizing the Stack AI platform, you’ll engage with clients to co-create innovative solutions that address their evolving challenges.Key Responsibilities:Enhance and maintain solutions for strategic accounts using the Stack AI platform.Analyze and document requirements and relationships within target enterprise offices.Identify opportunities and provide insights to shape our go-to-market strategy.Directly contribute to the Stack AI codebase, transforming customer feedback into enhancements for the Python backend and React/Next.js TypeScript frontend.Project future opportunities and secure high-value contracts.Draft proposals, present to stakeholders, and lead engaging product demonstrations.Promote Stack AI at enterprise conferences and events.

Join Saris AI as an AI Systems Engineer, where you will play a pivotal role in designing and implementing innovative solutions that leverage artificial intelligence technologies. You will collaborate closely with cross-functional teams to develop AI systems that enhance our products and services, driving impactful results for our clients.

Role OverviewLocation: San Francisco, CA Work Model: In-officeAbout Effective AIAt Effective AI, we are pioneering the future of work, focusing on sophisticated AI solutions for complex knowledge tasks rather than simple, repetitive functions. Our goal is to develop advanced AI Teammates that excel in intricate workflows and collaborate seamlessly with human professionals. Our initial challenge is to revolutionize the trillion-dollar U.S. Property & Casualty insurance sector, an area rich in data and complexity, ideal for our innovative approach.We have successfully secured $10 million in seed funding from prominent investors including Lightspeed Ventures and Valor Equity Partners.Our passionate team operates out of San Francisco, where we value in-person collaboration to address these pressing challenges.Your ResponsibilitiesAs a Founding Software Engineer, you will be an integral member of our founding team, significantly influencing the design and development of our core product from inception. You will confront critical challenges in agentic AI, crafting Teammates capable of managing essential insurance functions such as underwriting and claims processing.Specifically, you will:Facilitate long-term task completion by creating the foundational architecture for AI agents to plan and execute multi-step processes reliably over prolonged interactions.Develop advanced reasoning functionalities, enabling agents to make informed decisions based on ambiguous or incomplete information, akin to human experts.Create intelligent, tool-utilizing agents capable of selecting and employing a variety of external tools—APIs, databases, web searches, and Excel-based pricing algorithms—to gather information and take decisive actions.Design adaptive and learning systems, equipping our AI Teammates to learn from feedback and adjust to evolving conditions such as regulatory changes or market dynamics.Your ProfileWe seek an innovative and driven builder excited to tackle substantial challenges.You possess a solid foundation in computer science and remarkable problem-solving capabilities, evidenced by impactful projects or previous experience.Your genuine enthusiasm for AI fuels your passion for tackling complex issues.

At World Labs, we are pioneering the development of Large World Models—advanced AI systems designed to comprehend, reason, and engage with the physical environment. Our initiatives are at the cutting-edge of spatial intelligence, robotics, and multimodal AI, with an objective to empower machines to perceive and operate effectively in intricate real-world settings.We are curating a global team of researchers, engineers, and innovators dedicated to transcending the existing boundaries of artificial intelligence. If you are eager to work on transformative technology that will redefine machine perception and enhance human-AI interaction, this role is tailored for you.About World Labs:World Labs is an AI research and development company committed to creating spatially intelligent systems capable of modeling, reasoning, and acting in the real world. We envision a future where AI transcends text or pixels to thrive in three-dimensional, dynamic environments, and we are constructing the foundational models that will make this a reality.Our team unites expertise in machine learning, robotics, computer vision, simulation, and systems engineering. We operate with the agility of a startup combined with the vision of a research lab, tackling long-term challenges that require creativity, rigor, and resilience.Our mission is to develop the most advanced world models and leverage them to empower individuals, industries, and society.Role Overview:We are seeking a Tech Lead for 3D Modeling & Reconstruction to establish technical direction and drive execution for our essential 3D modeling initiatives. This position is suited for someone with a strong background in research science (RS) or research engineering (RE) who has made significant contributions to the field of 3D reconstruction and/or modeling—evidenced by academic publications, widely adopted open-source projects, or large-scale production systems.This is a hands-on leadership role where you will merge profound technical expertise with the ability to guide a high-impact team, influencing both the research roadmap and the production systems that integrate contemporary 3D modeling techniques into tangible products. You will collaborate closely with research, engineering, and product teams to convert innovative concepts into dependable, scalable solutions.

Join Our Innovative Team at David AIDavid AI is pioneering the audio data research landscape. We adopt a rigorous R&D methodology for developing datasets that parallels the standards upheld by leading AI laboratories. Our vision is to seamlessly integrate AI into everyday experiences, with audio serving as the perfect conduit. The evolution of audio AI is rapidly unfolding, yet the availability of high-quality training data remains a critical challenge. This is where David AI steps in.Founded in 2024 by a talented group of former engineers and operators from Scale AI, we have quickly become a trusted partner to numerous FAANG companies and AI research labs. Recently, we secured $50 million in a Series B funding round with notable investors, including Meritech, NVIDIA, and Alt Capital.Our culture is built on sharp intellect, humility, ambition, and a close-knit community. We invite exceptional minds in research, engineering, product development, and operations to join us as we advance the field of audio AI.Research Team OverviewAt David AI, we are convinced that superior model capabilities stem from high-quality, differentiated data. Our research team is dedicated to conducting ambitious, long-term studies into audio technology while collaborating with both internal and external partners to implement cutting-edge research insights into practical applications.Your Role as a Founding Audio AI Research EngineerIn this position, you will establish the research framework that influences how premier AI labs develop their audio models. You will have access to a top-tier team of human AI trainers, robust computing resources, and the autonomy to shape your research agenda.Key ResponsibilitiesCreate and implement comprehensive evaluation frameworks for assessing audio AI capabilities in areas such as speech, emotion detection, conversational dynamics, and acoustic patterns.Investigate and prototype innovative methodologies for audio quality assessment, automated labeling, and optimizing data collection processes.Design focused data collection pipelines aimed at capturing novel, high-value audio capabilities.Develop automated systems for ongoing classifier enhancement and prompt engineering evaluation.Assess cutting-edge models and formulate actionable research strategies.Publish your findings in prestigious conferences.

Job Category: AI & RoboticsAbout Avala AIAvala AI is a pioneering AI Data Infrastructure company at the forefront of real-world AI and its integration with the labor economy. We excel in delivering high-quality data labeling, comprehensive dataset management, and insightful data visualization, providing 4D labeling solutions tailored for autonomous vehicles, humanoid robots, and drone applications. Our mission is to empower AI-driven sectors—ranging from AV companies to robotics innovators and drone enterprises—by equipping them with the essential data infrastructure to propel the next generation of intelligent systems while offering dignified digital employment opportunities globally.The RoleIn your capacity as a 3D Computer Vision Engineer at Avala AI, you will be responsible for designing and implementing cutting-edge solutions for both offline and online 3D reconstruction and scene understanding, ensuring robustness, accuracy, and performance. You will collaborate on a world-class spatial computing platform deployed extensively in autonomous vehicles, advanced robotic systems, and drone technologies. Your contributions will advance the capabilities of real-world AI while utilizing the latest advancements in deep learning and 3D computer vision techniques.What You’ll DoSpatial Computing & Reconstruction: Innovate through the application of NeRFs, Diffusion Models, Gaussian Splatting, Multiview Stereo, TSDF Fusion, Structure from Motion, and SLAM methodologies.Mission-Critical Perception: Develop robust 3D perception systems and scene understanding frameworks that enhance safety and operational performance across various robotics and AV applications.4D Data Labeling & Visualization: Work collaboratively with cross-functional teams to enhance and expand Avala’s 4D labeling platform for automobiles, humanoid robots, and drones.Software Engineering Best Practices: Apply strong coding, testing, and deployment methodologies to ensure rapid, safe, and efficient development of innovative solutions.Boundary-Pushing Innovation: Actively explore new methodologies and technologies that advance the field of 3D vision, neural rendering, and large-scale data processing.