Associate Scientist at mindlance2 | San Francisco

About Latent Health Latent Health is building personalized clinical intelligence to make healthcare more accessible and effective for everyone. The company’s mission is to ensure medical history is connected and actionable, not fragmented or reserved for a privileged few. By combining broad clinical knowledge with detailed patient histories, Latent Health aims to improve care for all populations. The team works with a diverse dataset that includes complex and chronic cases, providing deep insight into a wide spectrum of clinical scenarios. Their models are designed to answer nuanced clinical questions and offer patient-specific reasoning. Machine Learning at Latent Health The Machine Learning group integrates advanced systems directly into clinical workflows. Current projects include: Scaling verifiable reinforcement learning Mid-training and post-training foundational models Creating new objectives from longitudinal patient data Team members work in a small, agile environment, taking responsibility for major systems and seeing research through from early-stage problem definition to validated, real-world results. Role Overview: Research Scientist The Research Scientist will design and develop new modeling techniques that advance clinical intelligence. This role leads research efforts from ambiguous starting points to validated solutions, shaping how models learn from patient data and influencing the future of healthcare delivery. Location San Francisco

About Latent HealthAt Latent Health, we are revolutionizing healthcare with our innovative AI-driven platform. Our technology streamlines clinical workflows, alleviates administrative tasks, and enhances both operational and financial outcomes for healthcare systems through safe, explainable, and scalable applied LLM technology.We collaborate with top-tier hospital systems to improve patient outcomes efficiently, giving clinicians, care teams, and operational leaders more time to focus on what matters most — patient care.As a rapidly expanding Series B company backed by distinguished investors, we are looking for passionate individuals who thrive in dynamic environments and are committed to advancing healthcare on a large scale.About the RoleIn the position of Customer Enablement Trainer, you will be vital in empowering our customers and speeding up their journey to realizing value from our platform. Your role will involve crafting and delivering engaging training experiences that effectively translate Latent’s advanced AI tools into practical, real-world applications in clinical and operational settings.You will engage directly with clinicians, pharmacists, operational leaders, and IT teams, facilitating their seamless adoption of Latent’s technology and driving measurable success. This role is integral to our teams, working closely with Implementation, Account Management, Sales, Product, and Clinical divisions.Your ResponsibilitiesTraining Delivery & FacilitationLead live virtual and on-site training sessions tailored for clinical and operational user groups.Provide role-specific training that enhances skill proficiency and reinforces best practices.Conduct hands-on product demonstrations, Q&A sessions, and office hours.Manage the execution of go-live training to ensure customers are fully prepared for successful launches.Curriculum & Content DevelopmentDevelop engaging training materials, including presentations, quick-start guides, videos, e-learning modules, and job aids.Tailor training programs to suit clinical workflows, customer scenarios, and user roles.Collaborate with Product and Product Marketing to ensure training content aligns with product updates.Customer Readiness & AdoptionAct as a product expert on Latent’s features, workflows, and applicable use cases.Evaluate customer training requirements and suggest an optimal blend of live and asynchronous learning.Facilitate the adoption of our platform to maximize customer satisfaction and success.

Join latent as a Product Manager and play a pivotal role in shaping our innovative product offerings. You will collaborate with cross-functional teams to define product vision, strategy, and roadmap while ensuring market success.In this dynamic position, you will leverage your analytical skills to gather insights, prioritize features, and drive product development from concept to launch. Your expertise will be critical in enhancing user experiences and achieving business objectives.

Site Reliability EngineerLocation: San Francisco, CA (5 Days In-Office)As a Site Reliability Engineer at Latent, you will be the backbone of our infrastructure, ensuring the exceptional stability and performance of our cutting-edge clinical AI platform that serves major health systems. Your role is pivotal in enhancing operational excellence, directly impacting patient access to critical treatments.What Makes a Great Engineer at LatentWe seek individuals who are not just technically skilled but also passionate about ownership and high standards. You will thrive in our dynamic, in-office culture where teamwork and a winning mentality are key.Tool Proficiency: You are highly adept with your tools, fluent in command line operations, and skilled in keyboard shortcuts.Ownership: You take pride in managing complex systems and have a successful history of scaling mission-critical deployments.Automation Drive: You have a passion for automation, consistently seeking innovative methods to enhance efficiency and establish operational excellence.Problem Solver: You proactively address challenges, stepping in to resolve issues without waiting for others.Your ResponsibilitiesAs our SRE, you will take full ownership of the production environment and enhance the developer experience:Infrastructure Ownership: Design, implement, and maintain a robust production environment, having experience with over 500 machine deployments.Kubernetes Mastery: Utilize your expertise in Kubernetes and Helm to manage our containerized infrastructure, ensuring optimal deployment, scalability, and operational health.CI/CD & Deployment Optimization: Streamline the deployment pipelines for TypeScript and Python/ML, supporting rapid feature releases while upholding top-notch reliability.DevX Support: Enhance developer workflows by supporting Developer Experience (DevX) initiatives to improve tool proficiency and CI/CD systems.Infrastructure as Code (IaC): Manage infrastructure definitions using Terraform.

Join the Center for AI Safety (CAIS), a pioneering research and advocacy organization dedicated to addressing the societal-scale risks posed by artificial intelligence. We tackle the most pressing challenges in AI through rigorous technical research, innovative field-building initiatives, and proactive policy engagement, in collaboration with our sister organization, the Center for AI Safety Action Fund.As a Research Scientist, you will spearhead and conduct transformative research aimed at enhancing the safety and dependability of cutting-edge AI systems. Your responsibilities will include designing and executing experiments on large language models, developing the necessary tools for training and evaluating models at scale, and converting your findings into publishable research. You will work closely with CAIS researchers and external partners from academia and industry, utilizing our compute cluster for large-scale model training and evaluation. Your research will focus on critical areas such as AI honesty, robustness, transparency, and the detection of trojan/backdoor behaviors, all aimed at mitigating real-world risks associated with advanced AI technologies.

About the RoleLatent is on a mission to develop an exceptional Go-To-Market (GTM) engine, and we need a unique individual to join our team. As a GTM Engineer, you will function as a product manager dedicated to the GTM organization.Your Key Responsibilities:Collaborate across marketing, sales, solutions, and post-sales teams.Gain insights into the current processes of GTM execution.Design and implement internal tools, automations, systems, and micro-products that dramatically enhance the productivity of the GTM team.Leverage AI, workflow design, and streamlined tools to transform chaotic, high-volume data into organized, repeatable, and measurable workflows.By excelling in this role, you will significantly impact Latent’s growth trajectory and take on a pivotal role in scaling our GTM operations.Your ResponsibilitiesThe GTM team at Latent generates a wealth of raw data, including executive conversations, CPO initiatives, Gong calls, product content, ROI models, and live deal insights. Currently, we are only capturing a fraction of this value.Your primary objective will be to convert this raw GTM information into a structured, compounding system that guides team members on their daily focus and enhances marketing, sales, and solutions with every engagement.In the Long Run, You Will Expand Your Focus To:Events and webinarsAccount-based initiativesPaid and owned channelsProduct marketingPartnership developmentSales playbook automationPipeline diagnostics and forecasting processesYour ultimate aim is to ensure that every GTM contributor operates at their utmost efficiency.Key Ownership Responsibilities1. Complete Lifecycle Management of Internal “Products”You will manage the entire lifecycle from discovery through specification, building, rollout, adoption, and iteration. Engage with internal users (AEs, SDRs, AMs, Marketing), analyze usage data, and continuously refine processes.2. Development of Internal Tools, Automations, and Micro-ProductsUtilizing no-code, low-code, or light code tools (such as Zapier, Make, n8n, Notion, Airtable, Supabase, Retool, Webflow, scripts, and AI agents), you will deliver systems that:Streamline operationsEnhance productivityFacilitate data-driven decision-making

About UsAt Latent Labs, we are at the forefront of developing advanced models that delve into the core principles of biology. Our ambitious pursuits are driven by curiosity and a steadfast commitment to scientific excellence. The team behind Latent Labs previously co-developed DeepMind's Nobel Prize-winning AlphaFold, pioneered latent diffusion technology, and created groundbreaking laboratory data management systems alongside high-throughput protein screening platforms. By joining us, you will collaborate with some of the brightest minds in the fields of generative AI and biology.We believe in fostering interdisciplinary collaboration, continuous learning, and teamwork. Our team offsites are designed to cultivate a culture of trust between our London and San Francisco locations.We're on the lookout for innovators who are passionate about solving complex challenges and making a positive global impact. Be part of our monumental mission!Your RoleWe are excited to invite a Research Scientist to join our team, working at the intersection of generative AI and biology. The ideal candidate will have a solid background in molecular biology, biochemistry, mammalian cell culture, and high-throughput screening techniques. You will collaborate with colleagues and work independently to develop and implement screening assays aimed at functionally testing and characterizing novel proteins generated through our proprietary models.This is a unique opportunity to contribute to an organization that advances artificial intelligence in addressing long-standing scientific challenges. A strong technical skill set, adaptability, organizational prowess, and exceptional communication abilities are essential, as is the capability to thrive both independently and as part of a dynamic, collaborative team.

Frontend Software EngineerLocation: San Francisco, CAJoin us at Latent as we pioneer the future of AI-driven clinical systems, transcending the outdated Electronic Health Record (EHR) framework. Your innovative designs will empower healthcare providers and patients to intuitively access vital information, thereby enhancing treatment efficiency and overall patient care.Ideal Candidate ProfileWe seek a Frontend Engineer who is passionate about transforming complex backend and AI functionalities into clear and impactful user experiences. You will thrive in our dynamic, collaborative office environment and possess a keen desire to understand the intricate technical and healthcare landscapes that underpin our solutions.High Standards: You maintain exemplary standards for code quality and user experience.Domain Curiosity: You are eager to learn about new technologies and the complex healthcare regulations we navigate (e.g., Prior Authorizations).Bias for Action: You proactively tackle challenges and take initiative to solve problems without waiting for direction.Tool Proficiency: You are highly skilled with your tools, adept at using the command line and keyboard shortcuts.Key ResponsibilitiesAs a Frontend Engineer, you will be responsible for the user interface and frontend architecture of our primary product:UX Architecture: Design a robust and adaptable React ecosystem tailored for complex, mission-critical healthcare applications and user-centric AI tools.Intuitive Design: Create high-level UI/UX solutions that enable providers and operational teams to seamlessly access clinical data and AI-generated insights for workflows such as Prior Authorizations and Appeals.Frontline Impact: Develop interfaces that are essential for Patient Interaction workflows, ensuring clarity and efficiency in design.Collaboration: Collaborate closely with Full Stack and Backend Engineers to define interfaces and APIs that facilitate rapid product development and iteration.

Genmo is a pioneering research laboratory dedicated to advancing cutting-edge models for video generation, with the mission of unlocking the creative potential of Artificial General Intelligence (AGI). We invite you to be a part of our innovative team, where you can contribute to shaping the future of AI and expanding the horizons of video generation technology.Role Overview:We are on the lookout for a talented Research Scientist to join our dynamic team, specializing in alignment and post-training methodologies for large-scale video generation models. In this pivotal role, you will be instrumental in ensuring our diffusion-based video models consistently deliver high-quality, physically accurate, and safe outputs that align with human values and preferences.Key Responsibilities:Lead groundbreaking research initiatives in alignment and post-training strategies for video generation models, prioritizing enhanced quality, reliability, and alignment with human intent.Design and implement supervised fine-tuning and reinforcement learning from human feedback (RLHF) pipelines for video generation models.Establish robust evaluation frameworks to assess model alignment, safety, and output quality.Create and optimize data collection pipelines for capturing human feedback and preferences.Conduct experiments to validate alignment techniques and their scalability.Collaborate with cross-functional teams to incorporate alignment enhancements into our production workflow.Stay abreast of the latest developments by reviewing academic literature in generative AI and alignment.Mentor junior researchers and promote a culture of responsible AI development.Partner closely with product teams to ensure that alignment methods enhance model capabilities.Qualifications:Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.Demonstrated excellence with a strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR) focusing on reinforcement learning, alignment, or generative models.Extensive experience in implementing and optimizing large-scale training pipelines utilizing PyTorch.In-depth understanding of reinforcement learning techniques, especially RLHF.Proficient in distributed training systems and conducting large-scale experiments.Proven ability to design and implement robust evaluation strategies for models.

RoleAs a Research Scientist at OpenEvidence, you will explore the potential of cutting-edge models, leveraging a strong research foundation to build practical systems rather than merely publishing papers. You will take ownership of projects from conception to execution, valuing evaluation and quantitative validation as integral components of your work.We seek exceptional innovators who are not confined to narrow specializations. Our engineers and scientists collaborate across diverse products and projects, driving impactful work wherever their skills can shine.About UsOpenEvidence is the leading medical AI platform globally, rapidly adopted by over 40% of US clinicians within just one year through organic, product-driven growth. With a valuation of $12B, our engineering team comprises 30 talented individuals from prestigious institutions like MIT, Harvard, and Stanford. We believe that transformative products emerge from a select group of exceptional builders who are empowered to take initiative and work swiftly toward focused goals. Join us as we embark on a unique opportunity to establish the standard platform for medical AI.CultureWe hold that work should engage at a world-class level. Building from 0 to 1 and scaling from 1 to 1000 is akin to a professional sport, where uncompromising excellence is the standard. We assert that the creation of unprecedented technologies requires complete ownership, and significant achievements arise when individuals commit to them.Who Are You?If your goal is to clock in and out with minimal engagement, this role is not for you. If you prefer to write papers rather than roll up your sleeves and get involved in creating impactful solutions that influence millions, this position may be your calling. The ideal candidate is a remarkable builder—intelligent, ambitious, resourceful, self-driven, meticulous, motivated, diligent, and humble. We recognize this profile is rare, which is why we have only identified 30 such individuals and are eager to find more.LocationAll engineering roles are in-person, requiring attendance five days a week in either San Francisco or Miami.

Join the Center for AI Safety (CAIS), a premier research and advocacy organization dedicated to addressing the complex societal challenges posed by artificial intelligence (AI). Our mission focuses on mitigating large-scale risks associated with AI through groundbreaking technical research, strategic initiatives, and proactive policy engagement, in collaboration with our sister organization, the Center for AI Safety Action Fund. As a Senior Research Scientist at CAIS, you will spearhead and execute transformative research aimed at enhancing the safety and reliability of advanced AI systems. You will take ownership of significant open challenges, driving them to successful publication. We seek individuals who set a high standard for research excellence and contribute innovative ideas to elevate our collective understanding. Your role will involve designing and conducting experiments on large language models, developing the necessary tools for large-scale model training and evaluation, and translating findings into publishable research. Close collaboration with CAIS researchers and external academic and industry partners will be essential, utilizing our compute cluster for extensive training and evaluation projects. Research areas include AI honesty, robustness, transparency, and mitigating trojan/backdoor behaviors, all geared towards reducing real-world risks from sophisticated AI systems.

The RoleBecome a key player in the evolution of healthcare with Hinge Health, a pioneer in crafting a patient-focused digital clinic that enhances clinical outcomes while yielding substantial financial benefits. As a seasoned Data Scientist in the ROI Identification & Measurement Pod, you will be instrumental in shaping our value proposition. Your role will extend beyond mere data analysis; you will design automated systems and predictive models that highlight our economic impact for major employers and health plans globally. If you are enthusiastic about leveraging causal inference and extensive datasets to influence company-wide strategies, this is your chance to create the

Role Overview Hinge Health is hiring a Senior Data Scientist in San Francisco. This role focuses on developing and applying machine learning and data analysis techniques to improve digital healthcare solutions, particularly in musculoskeletal care. What You Will Do Apply advanced machine learning methods and data analysis to healthcare challenges Collaborate with a skilled team to strengthen data capabilities Support projects that align with Hinge Health’s mission to transform musculoskeletal care Location This position is based at Hinge Health’s San Francisco headquarters.

Join Mercor as a Data ScientistAt Mercor, we stand at the forefront of labor markets and artificial intelligence research. We collaborate with top-tier AI laboratories and businesses to infuse the human intelligence crucial for the evolution of AI.Our expansive talent network empowers frontier AI models, mirroring the way educators impart knowledge: sharing insights and experiences that transcend mere coding. Currently, our network boasts over 30,000 experts generating more than $2 million daily.We are pioneering a new work paradigm where specialized expertise drives AI progress. To realize this vision, we seek a dynamic, fast-paced, and dedicated team. You will collaborate with leading researchers, operators, and AI companies, playing a pivotal role in the systems that are reshaping society.As a profitable Series C company, Mercor is valued at $10 billion and operates from our new headquarters in San Francisco with an in-office work schedule five days a week.Your RoleIn your first year, you will implement analyses and experiments that enhance key product metrics, including match quality, time-to-hire, candidate experience, and revenue. Your responsibilities will include:Establishing north-star and feature-specific metrics for our ranking systems, interview analytics, and payout frameworks.Designing and executing A/B tests and quasi-experiments, translating results into product decisions within the same week.Creating source-of-truth dashboards and streamlined data models to enable teams to self-serve answers.Collaborating with engineers to instrument events, enhancing data quality and latency from ingestion to insights.Rapidly prototyping models (from baseline models to gradient boosting) to optimize matching and scoring.Assisting in the evaluation of LLM-powered agents through the design of rubrics, human-in-the-loop studies, and guardrail mechanisms.What Makes You a Great FitYou possess strong foundational skills in statistics, SQL, and Python, alongside projects you are eager to showcase. You adapt swiftly, frame inquiries, test hypotheses, and deliver results within a day, valuing clarity in communication as much as statistical significance. A keen interest in LLM evaluation, retrieval, and ranking is a plus; you will learn alongside professionals from renowned firms such as Jane Street, Citadel, Databricks, and Stripe.

About NudgeNudge is on a transformative mission to harness advanced technology that interfaces with the brain to enhance human life. Our pioneering focus is on creating a cutting-edge, non-invasive ultrasound device capable of stimulating and imaging the brain with unparalleled resolution. This initiative integrates innovative hardware, software, and research methodologies to develop life-changing products that can eventually benefit millions, if not billions, of individuals.About the RoleAs a Research Scientist specializing in Cell Biology at Nudge, you will:Innovate techniques to characterize the mechanisms by which ultrasound affects neural tissue.Design and conduct in vitro experiments to assess the influence of ultrasound on cellular characteristics, activity, and plasticity.Optimize ultrasound parameters to enhance cellular activity and promote plasticity.Translate findings from in vitro studies to guide human neuromodulation research.About YouWe are looking for research scientists at various stages of their careers. Regardless of your level, you should possess:A PhD or postdoctoral experience in neuroscience, molecular/cellular biology, biomedical engineering, or a related field.Expertise in neural cell culture or slice methodologies, with a preference for human neural iPSC techniques.Experience in calcium imaging, functional imaging analysis, two-photon microscopy, or other advanced imaging techniques.Proficiency in electrophysiology, voltammetry, or other neural recording methodologies.A proven track record of significant technical contributions.A commitment to high integrity and ethical research practices.

At Sciforium, we are at the forefront of AI infrastructure, creating next-generation multimodal AI models and a proprietary high-efficiency serving platform. With substantial backing from AMD, our team is rapidly expanding to develop the complete stack necessary for cutting-edge AI models and real-time applications.About the RoleWe are on the lookout for a talented Senior Research Scientist with expertise in advanced AI and machine learning. This role entails spearheading innovative research projects focusing on large language models, generative media, model architecture, optimization, and scalable training systems. You will engage directly with contemporary ML frameworks, publish original research, and collaborate closely with engineering teams to transition impactful models into production. This position is perfect for a driven researcher excited about pioneering breakthroughs in AI.What You'll DoLead research initiatives in advanced machine learning topics such as LLMs, generative AI, foundational modeling, optimization strategies, diffusion models, and novel Transformer architectures.Design, implement, and assess new ML algorithms using frameworks like PyTorch and JAX.Conduct large-scale distributed training experiments utilizing multi-GPU/TPU systems and cutting-edge compute infrastructure.Enhance performance through debugging frameworks, optimizing speed, and refining training pipelines.Generate high-quality research outputs including academic papers, internal reports, patents, and reproducible code.Work collaboratively with engineering and product teams to convert research prototypes into robust production systems.Stay updated with the latest research advancements to incorporate state-of-the-art techniques into Sciforium's AI roadmap.Mentor junior researchers and actively contribute to fostering a world-class AI research culture.

Become a Pioneer in Sleep FitnessAt Eight Sleep, we're dedicated to unlocking human potential through optimal sleep. As the world's first sleep fitness company, we are revolutionizing what it means to be well-rested by creating the most advanced hardware, software, and AI technology. Our innovative products enhance mental, physical, and emotional performance by transforming each night into a personalized, data-driven recovery journey. Trusted by high achievers, professional athletes, and health-conscious individuals across over 30 countries, we have been recognized by Fast Company as one of the Most Innovative Companies in 2019, 2022, and 2023, and honored twice by TIME's “Best Inventions of the Year.” Our high-performance team operates with speed, focus, and a commitment to impact. We don't just create; we refine and obsess over every detail to ensure our members sleep better and wake up stronger.Every position at Eight Sleep offers the opportunity to innovate cutting-edge technology, collaborate with exceptional talent, and contribute to a future where sleep is a powerful tool for well-being. If you're ready to break away from the ordinary and eager to build at the forefront of possibility, this is your chance to join us in reshaping how the world sleeps and what we can achieve upon waking.Our Culture: High Standards, No CompromiseOur mission demands intensity, and at Eight Sleep, we embody the mindset of the world's top performers: focused, relentless, and committed to being in the top 1% of our field. Inspired by the relentless drive of legends like Kobe Bryant, we apply that mentality to bold ideas, next-gen technology, and impeccable execution. This is not a standard 9-to-5 role; our team is dedicated, often working 60+ hours per week—not out of obligation, but out of passion. If you thrive under pressure and seek to do the most meaningful work of your career, you'll find a home here. If you prefer an easier path, this position is not for you.Your RoleAs a Machine Learning Research Scientist at Eight Sleep, you will be at the cutting edge of sleep innovation. Your mission will be to leverage innovative technology, minimalistic design, and proven clinical science to personalize and enhance sleep experiences, fundamentally changing how people sleep for the better.Our revolutionary temperature-regulated technology, the Pod, has been recognized as a game changer, enhancing health and happiness by transforming sleep. Join us in making sleep count for more.

Join Our Team as a Research ScientistAt Parallel, we are at the forefront of web infrastructure innovation, enabling businesses across sectors such as sales, marketing, insurance, and technology to harness the power of AI. Our state-of-the-art products empower users to develop superior AI agents with seamless and flexible access to the web.With significant backing of $130 million from prominent investors like Kleiner Perkins, Index Ventures, and Spark Capital, we are dedicated to redefining the web for artificial intelligence. As we expand, we're assembling a top-tier team of engineers, designers, marketers, sales experts, researchers, and operational specialists committed to our vision.Your Role: As a Research Scientist, you will tackle the challenge of training and scaling models designed to enhance web indexing capabilities.About You: You possess a profound understanding of contemporary models and training methodologies. You enjoy engaging in discussions about the convergence of search, recommendations, and transformer models, and are passionate about translating your research into impactful products and systems utilized by millions.

Join OpenAI as a Research Scientist and explore cutting-edge machine learning innovations. In this role, you will be at the forefront of developing groundbreaking techniques while advancing our team's research initiatives. Collaborate with talented peers across various teams to discover transformative ideas that scale effectively. We seek individuals who are passionate about pushing the boundaries of AI and want to contribute to our unified research vision.