Director of Asset Management

About Us Mentis AI operates at the exciting intersection of institutional investment expertise and cutting-edge AI technologies. Our team merges extensive asset management experience from prestigious firms like Lazard and Partners Group with advanced machine learning and AI research. With offices in London and San Francisco, we partner with leading AI laboratories to enhance model reasoning, generalization, and decision-making in high-stakes financial scenarios.The Opportunity We invite senior research analysts and portfolio managers to join our AI Residency program. This part-time opportunity offers invaluable exposure to the transformative role of AI in your field, allowing you to gain practical experience with advanced AI systems.Your Responsibilities:Prompt Development: Create and refine realistic prompts that could be utilized by junior analysts to evaluate the relevance and quality of AI-generated insights.Human vs. Machine Evaluation: Methodically assess the differences between professional investment reasoning and AI outputs across equities, fixed income, and multi-asset contexts.Framework Design: Adapt the methodologies employed by institutional investors for security evaluation, portfolio construction, and risk management into challenges that stretch the capabilities of AI reasoning.Benchmark Construction: Develop and validate real-world investment cases and frameworks for securities analysis and portfolio management that can be used to evaluate frontier AI systems.Why This Experience MattersGain hands-on exposure to how AI is revolutionizing investment workflows, from fundamental research and portfolio construction to client interactions and risk attribution.Be among the first institutional investment professionals to directly engage with how frontier AI models interpret public markets and portfolio management.Your Profile4+ years of experience with a leading long-only institutional manager (e.g., BlackRock, Vanguard, Fidelity, Capital Group, T. Rowe Price, Wellington, PIMCO, MFS, Neuberger Berman, Jennison, Artisan Partners).Positioned at the level of Senior Research Analyst or Portfolio Manager.In-depth expertise in equities, fixed income, or multi-asset portfolio management.Proficient in conducting fundamental analysis, writing investment reports, and managing portfolio strategies.

About Us: At Mentis AI, we operate at the forefront of institutional finance and cutting-edge AI technology. Our dynamic team merges extensive expertise from financial powerhouses like Lazard and Partners Group with innovative machine learning and applied AI research initiatives. Based in London and San Francisco, we partner with top-tier AI laboratories to enhance the reasoning, generalization, and decision-making capabilities of AI models within critical financial settings.The Opportunity: As AI technology increasingly integrates into essential real estate investment processes—ranging from acquisitions and underwriting to asset management and debt structuring—this part-time residency offers institutional real estate private equity professionals invaluable early exposure to the development, assessment, and enhancement of advanced AI systems tailored for REPE investment across diverse property types and risk profiles.Your Responsibilities:Develop Expert Benchmarks: Construct and validate real-world underwriting models, return analyses, and investment cases to assess frontier AI systems.Evaluate Model Reasoning: Identify weaknesses in AI-generated real estate analyses, pinpointing where logic, assumptions, or market intuition may falter.Create Evaluation Frameworks: Transform how REPE professionals assess acquisitions, structure transactions, and manage assets throughout the investment lifecycle into challenges that push AI reasoning boundaries.Analyze Human vs. Machine Judgment: Methodically compare discrepancies between expert real estate judgments and AI outputs across asset classes, risk levels, and fund models.Why This Experience MattersJoin a pioneering cohort of real estate investment professionals engaged directly with how advanced AI models interpret acquisitions, underwriting, and asset management.Establish a unique profile for those aiming to bridge the fields of real estate and AI—whether within a fund, an AI firm, or through entrepreneurial ventures.Gain hands-on experience in how AI is revolutionizing real estate workflows, from deal screening and underwriting to joint venture structuring, asset management, and limited partner reporting.

About Us Mentis AI operates at the dynamic intersection of institutional finance and cutting-edge AI technologies. Our diverse team, with backgrounds from top firms such as Lazard and Partners Group, brings together extensive financial services expertise and advanced machine learning research. We maintain a presence in both London and San Francisco, partnering with leading AI laboratories to enhance the reasoning, generalization, and decision-making capabilities of models in critical financial scenarios.The Opportunity As AI becomes an integral part of venture capital processes—from deal sourcing to portfolio management—this residency offers a unique opportunity for venture capital professionals to gain hands-on experience in how sophisticated AI systems are developed, assessed, and refined within the context of early and growth-stage funding.In this role, you will:Construct Expert Benchmarks: Develop and validate investment memos, market analyses, and evaluation frameworks for assessing frontier AI systems.Stress-Test Model Reasoning: Identify and diagnose weaknesses in AI-generated analyses, pinpointing where logic and intuition may falter.Design Frameworks: Translate venture capital evaluation criteria into challenges that test AI reasoning capabilities across various investment stages and sectors.Compare Human vs. Machine Judgment: Systematically assess the differences between professional venture judgment and AI outputs in deal evaluation, term sheet structuring, and portfolio management contexts.Why This Experience Is ValuableBe among the pioneers in venture capital, directly engaging with how advanced AI models approach early-stage investment and founder assessment.Develop a distinctive profile at the crossroads of venture capital and AI, whether within a fund, an AI-focused company, or as an entrepreneur.Gain hands-on experience in how AI is transforming venture workflows, including sourcing, due diligence, investment memo preparation, board interactions, and portfolio oversight.Who You Are4+ years of experience in venture capital investing at a prestigious VC fund (e.g., Sequoia Capital, Andreessen Horowitz, Accel, Index Ventures, etc.).

About Us At Mentis AI, we operate at the dynamic intersection of institutional finance and cutting-edge AI technology. Our diverse team, comprising veterans from esteemed institutions like Lazard and Partners Group, leverages deep financial expertise with advanced machine learning and AI research. With our presence in both London and San Francisco, we collaborate with premier AI labs to revolutionize decision-making processes in high-stakes financial environments.The Opportunity In the face of AI's rapid integration into private credit workflows—from underwriting and credit approvals to documentation and portfolio management—this part-time residency program invites seasoned direct lending and private credit professionals. Join us for a hands-on experience in understanding how sophisticated AI systems are developed, assessed, and optimized within middle-market lending and credit fund operations.Your Responsibilities:Develop Expert Benchmarks: Create and validate practical credit analyses, underwriting scenarios, and portfolio monitoring frameworks essential for evaluating advanced AI systems.Evaluate Model Reasoning: Identify and address weaknesses in AI-generated credit assessments, focusing on logical inconsistencies and gaps in underwriting intuition.Framework Design: Convert the methodologies of credit professionals in evaluating borrowers and structuring deals into challenges that test AI's reasoning capabilities.Assess Human vs. AI Judgment: Conduct systematic comparisons of professional credit assessments and AI outputs across various credit scenarios.Why This Experience Matters:Be among the pioneering private credit professionals exploring how advanced AI models analyze credit underwriting and manage portfolios.Cultivate a unique profile at the crossroads of private credit and AI—ideal for careers in credit funds, AI firms, or entrepreneurial ventures.Gain firsthand experience in how AI transforms credit workflows—from underwriting to portfolio monitoring and beyond.

Join mentis as an AI Resident in our Wealth Management department, where you will have the opportunity to work at the intersection of finance and artificial intelligence. This innovative role is designed for individuals passionate about leveraging AI to enhance financial strategies and client experiences. You will collaborate with experts in the field, engage in hands-on projects, and contribute to the development of cutting-edge AI solutions tailored to wealth management.

About Us: Mentis AI operates at the cutting-edge of private markets and frontier AI technology. Our team melds deep expertise from institutional finance (including firms like Lazard and Partners Group) with advanced machine learning and AI research. With a presence in both London and San Francisco, we partner with top AI laboratories to enhance decision-making processes in critical financial environments.The Opportunity: As AI becomes integral to investment practices, this residency offers private equity and growth equity experts a unique chance to gain firsthand experience in the development, assessment, and enhancement of sophisticated AI systems. Your responsibilities will include:Developing expert benchmarks: Construct and validate financial models and return analyses used in evaluating advanced AI systems.Testing model reasoning: Identify and address weaknesses in AI-generated analyses, focusing on logic, assumptions, and market intuition.Creating frameworks: Convert investor strategies for navigating uncertainty and structuring transactions into challenges that test AI reasoning capabilities.Assessing human versus machine judgment: Systematically compare professional investment analysis with AI outputs.Why Join Us?Be one of the first investment professionals to directly engage with how frontier AI models interpret private markets.Enhance your profile in the intersection of investing and AI, preparing you for roles in funds, AI firms, or entrepreneurial ventures.Gain practical insights into the transformative impact of AI on deal workflows, from screening and due diligence to portfolio management and exit strategies.Who We Seek:3 to 7 years of experience in private equity or growth equity at a respected large-cap or upper-middle-market fund in Europe or the U.S.Positioned as an Associate, VP, or Principal; industry-agnostic.Exceptional modeling and valuation skills with comprehensive experience throughout the deal lifecycle.A genuine passion for AI and its application in finance.

Join Hudson River Trading (HRT) as an AI Research Scientist in our cutting-edge HAIL (HRT AI Labs) team. This team is dedicated to creating and refining advanced models that empower our trading operations, significantly influencing our market strategies. We are on a mission to develop 'foundation models for markets' that analyze extensive market data to forecast future trends. As an integral member of our small, agile team, you will have the freedom to explore innovative research paths and contribute to impactful solutions. Our state-of-the-art research infrastructure, featuring high GPU-to-researcher ratios, and our robust support teams will enable you to bring your vision to life. Your contributions will directly affect our business outcomes, tackling complex challenges without straightforward solutions. You will engage in enhancing every aspect of our models, from data featurization to architectural design and training methodologies, ultimately influencing trading decision-making.

Application Deadline: We are actively interviewing candidates and aim to fill this position promptly with the right individual.ABOUT THE ROLEAt Apollo Research, we conduct evaluations that meticulously assess the risks associated with advanced AI systems. Collaborating with leading laboratories such as OpenAI, Anthropic, and Google DeepMind, you will have the unique opportunity to engage with cutting-edge AI models ahead of their public release. The ideal candidate possesses a passion for rigorously testing state-of-the-art AI technologies and excels in creating and automating efficient evaluation pipelines.YOUR RESPONSIBILITIES WILL INCLUDE- Conducting pre-deployment evaluation campaigns on the world's most advanced AI systems. Our partnerships with various labs provide access to a wide range of models that no single lab can offer, allowing you to be among the first to engage with new models.- Exploring AI cognition by analyzing extensive model transcripts to identify novel behavioral patterns that have yet to be documented. These insights can be both surprising and enlightening, including phenomena like non-standard language and reward-seeking reasoning as discussed in our anti-scheming paper.- Developing new evaluations for frontier risks, creating innovative test environments, and scaling these across multiple scenarios.- Collaborating with leading AI developers to share your insights, receive feedback, and ensure your evaluations influence the deployment strategies of the most advanced AI systems.- Optimizing and automating the evaluation pipeline. We utilize automation in building, executing, and analyzing evaluations. As agent capabilities evolve rapidly, you will have the autonomy to reshape the pipeline to keep pace with these advancements.KEY REQUIREMENTS

About MoneyboxAt Moneybox, we strive to empower individuals to enrich their lives. We believe that wealth is not merely about money but rather about having the resources for more—more freedom, opportunities, and peace of mind. As an award-winning wealth management platform, we assist over 1.5 million users in building their financial futures through saving, investing, purchasing homes, and planning for retirement.Job OverviewWe are developing Aurora, an innovative AI system aimed at guiding customers to achieve optimal financial outcomes. This role presents a significant technical challenge: how to effectively provide reliable guidance to customers who may have incomplete or uncertain information regarding their financial situations and goals, all while navigating a regulated environment where decisions must be auditable and traceable.Key challenges include efficiently addressing uncertainties in customer data through active information gathering, formulating questions at the right times without overwhelming users, and translating natural language policies and regulations into formal optimization logic that is both accurate and inspectable.Additionally, you will need to integrate learned and symbolic components to ensure that the overall system operates reliably, degrades gracefully, and remains comprehensible to human users, all without incurring excessive engineering costs on the specialized elements of the system.We hold strong hypotheses and established architectural plans for these challenges, yet we remain open to revising our approaches when presented with compelling arguments or new evidence. If you have insights that could improve our strategies, we welcome your input.Our models primarily operate internally. Our development process utilizes Databricks on Azure, with deployments conducted via Databricks or directly on Azure Kubernetes Service (AKS).This role represents the pinnacle of research within our ML team. You will report directly to the Director of AI and Decision Intelligence and collaborate with a principal data scientist, senior ML engineer, senior data scientist, and two ML engineers.

Why join Faculty?Founded in 2014, Faculty is on a mission to harness the transformative power of AI, believing it to be the most pivotal technology of our era. With a diverse portfolio of over 350 global clients, we have consistently driven performance improvements through human-centric AI solutions. Discover our tangible impacts here.We focus on responsible AI development rather than chasing trends. Our team excels in innovating, building, and deploying AI solutions that truly matter. We offer unmatched expertise in technology, product development, and service delivery across various sectors including government, finance, retail, energy, life sciences, and defense.As our reputation grows, so does our commitment to finding individuals who share our passion for intellectual curiosity and the ambition to create a positive legacy through technology.AI defines this epoch; join us in exploring its most impactful applications and turning them into reality.About Our TeamOur dedicated team at Faculty engages in vital red teaming and creates evaluations for misuse capabilities in critical domains such as CBRN, cybersecurity, and international security. Our contributions have been recognized, notably in OpenAI's system card for o1.We are committed to conducting foundational research on mitigation strategies, sharing our findings through peer-reviewed conferences, and with national security institutions. Furthermore, we design evaluations for model developers focusing on safety and societal impacts of advanced AI models, showcasing our extensive expertise in the safety domain.About The RoleAs the Principal Research Scientist for AI Safety, you will lead Faculty's dynamic research team, influencing the future of safe AI systems. Your role will encompass overseeing the scientific research agenda centered on large language models and other significant systems. You will guide fellow researchers, spearhead external publications, and align your efforts with Faculty’s mission to develop trustworthy AI, allowing you to make a substantial impact in this fast-evolving field.

Join our team as a Senior AI Product & Research Engineer, where you will spearhead the development and deployment of cutting-edge enterprise AI products. You will leverage your expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), fine-tuning, and embeddings to create innovative solutions. Your practical experience with AI coding agents in production will be invaluable as you assess technical feasibility, business value, and user experience (UX) to ensure product success.

About Xaira TherapeuticsXaira Therapeutics is a pioneering biotech startup dedicated to harnessing the power of artificial intelligence to revolutionize drug discovery and development. We are at the forefront of creating generative AI models aimed at designing protein and antibody therapeutics, facilitating the development of treatments for historically challenging molecular targets. Our innovative approach also includes the development of foundational models for biological processes and diseases, enhancing target identification and patient stratification. Through these groundbreaking technologies, we strive to unlock novel therapies and improve drug development success rates. With headquarters in the San Francisco Bay Area, Seattle, and London, we are positioned to make a significant impact in the biotech field.Position OverviewWe are on the lookout for passionate and driven individuals to join our team as AI Research Engineers. We embrace candidates from diverse backgrounds and experiences, believing that varied perspectives strengthen our ability to solve complex challenges. Our London office, located near Old Street, fosters a highly collaborative environment where teamwork is essential to our success. We promote a hybrid work culture built on trust, with team members typically working in the office three days a week.Key ResponsibilitiesDemonstrate industry experience as a research engineer within an AI-focused organization.Exhibit enthusiasm for collaboration, learning, and teaching while tackling complex problems as part of a team.Desirable QualificationsWe value diverse experiences and recognize that each individual’s journey is unique. While the following qualifications are ideal, they are not mandatory:Master’s degree or PhD in an AI-related discipline.Contributions to public codebases or GitHub repositories.Experience in building and training neural networks.Familiarity with distributed training and inference.Expertise in profiling and optimizing large-scale AI models.Knowledge in BioAI or related fields.If you possess a strong drive to utilize AI in advancing drug discovery and enhancing human health, we invite you to apply and join us in our mission to create a positive impact in the world.

At Moonvalley AI, our cutting-edge laboratory operates at the forefront of world models, video generation, and robotics. We are dedicated to developing sophisticated systems that accurately represent intricate environments, intelligently reason about objects and their dynamics, and seamlessly translate high-level AI objectives into smooth, efficient, safe, and responsive actions across a diverse range of robotic platforms.What You Will Be Responsible For:Spearheading the design and implementation of our robotics research agenda within the AI domain.Recruiting, mentoring, and overseeing a small team of talented research scientists and engineers in our London laboratory.Collaborating closely with world model and simulation teams to create state-of-the-art training platforms for robotics.Directing the development of persistent 3D/4D scene representations along with advanced embodied AI methodologies.Leading research initiatives in scene understanding, sim-to-real transfer, and advanced planning techniques.Building and sustaining partnerships with leading machine learning researchers, hardware experts, and external collaborators.Contributing to the establishment of the lab's technical culture and enhancing its external reputation.Areas of Expertise We Seek: We are particularly interested in candidates who are passionate about working on:World models tailored for embodied systems.3D/4D generative models.Scene reconstruction and comprehension.Embodied AI technologies.Object-level and semantic SLAM methodologies.Multimodal AI applications.Desired Qualifications:Solid foundation in robotics, computer vision, or closely related fields.Experience in leading or managing small technical or research teams.Practical expertise in 3D perception, scene representations, world models, or simulations.Exceptional programming skills in Python, C++, or similar languages.An entrepreneurial mindset and enthusiasm for developing projects in a startup or early-stage lab setting.Proven ability to collaborate effectively across the fields of machine learning, perception, and robotics.Outstanding communication and team-building abilities.What We Offer:Highly competitive salary and equity options.Comprehensive private health insurance.

Application Deadline: We are actively interviewing candidates and seek to fill this position promptly with a suitable applicant. THE OPPORTUNITYBecome a vital member of our groundbreaking AGI safety product team and play a key role in transforming intricate AI research into actionable tools aimed at minimizing AI-related risks. In your role as an applied researcher, you will collaborate closely with our CEO (who also acts as Head of Product), product engineers, and the Evals team’s software engineers to develop solutions that enhance AI agent safety for our clients. Currently, we are concentrating on the oversight of AI coding agents to identify failures in safety and security. You will be part of a compact team, which allows you to significantly influence both team dynamics and technological approaches while quickly assuming greater responsibilities. This position is perfect for you if you have a fervent desire to employ empirical research methodologies to enhance the safety of AI systems in practical applications. If you relish the challenge of converting theoretical AI risks into tangible detection mechanisms, thrive in fast-paced environments, and are eager to see your research make a meaningful impact on real-world AI safety, then we would love to hear from you.KEY RESPONSIBILITIESResearch & Development- Collect and catalog coding agent failure modes systematically from real-world instances, public examples, research literature, and theoretical predictions.- Design and execute experiments to evaluate monitor effectiveness across various failure modes and agent behaviors.- Develop and maintain evaluation frameworks to track advancements in monitoring capabilities.- Refine monitoring strategies based on empirical findings, optimizing detection accuracy alongside computational efficiency.- Stay updated with the latest research in AI safety, agent failures, and detection methodologies.- Keep abreast of advancements in coding security and safety vulnerabilities.Monitor Design & Optimization- Create a comprehensive library of monitoring prompts tailored to specific failure modes (e.g., security vulnerabilities, goal misalignment, deceptive behaviors).- Experiment with various reasoning strategies and output formats to enhance monitor reliability.- Design and evaluate hierarchical monitoring architectures and ensemble approaches.

Join our cutting-edge AI team at hyperexponential as a Research Engineer. In this role, you will be at the forefront of developing innovative AI solutions that drive efficiency and transformation across various sectors.As a Research Engineer, you will collaborate closely with data scientists, software engineers, and domain experts to design, implement, and optimize AI algorithms. Your insights will directly contribute to advancing our product offerings and enhancing client experiences.If you are passionate about harnessing AI technology to solve real-world problems, we want to hear from you!

Why Join Faculty?Founded in 2014, Faculty is at the forefront of artificial intelligence, believing it to be the most transformative technology of our era. Over the years, we have partnered with more than 350 clients globally, enhancing their performance through human-centered AI solutions. Our tangible impact can be explored here.We prioritize genuine innovation over fleeting trends. Our commitment lies in developing and implementing responsible AI that significantly influences outcomes. Our diverse clientele includes sectors such as government, finance, retail, energy, life sciences, and defense, all of whom benefit from our profound expertise in technology, product development, and delivery.Our rapidly expanding business and reputation drive us to seek individuals who share our passion for intellectual exploration and aspire to create a positive technological legacy.AI is a groundbreaking technology; at Faculty, you will have the freedom to conceive its most impactful applications and bring them to fruition.About Our TeamThe Research team at Faculty is dedicated to critical red teaming and developing evaluations for misuse capabilities in sensitive domains, including CBRN, cybersecurity, and international security. We collaborate with leading frontier model developers and national safety institutes, and our contributions have been recognized in OpenAI's system card for o1.We also engage in fundamental technical research focused on mitigation strategies, with our findings presented at peer-reviewed conferences and shared with national security organizations. Additionally, we create evaluations for model developers across various safety-related areas, highlighting our comprehensive expertise in the safety domain.Role OverviewWe are in search of a Senior Research Scientist to join our high-impact R&D team. You will spearhead innovative research that enhances scientific understanding and drives our goal of developing safe AI systems. This is a vital role within a small, empowered team that conducts essential red teaming and evaluations for frontier models in sensitive fields such as cybersecurity and national security, allowing you to influence the future of safe AI deployment in real-world scenarios.

Become a Catalyst for Change at Axon.At Axon, we are committed to safeguarding lives and enhancing public safety through innovative technology. As pioneers in the field, we tackle critical issues surrounding safety and justice with our comprehensive ecosystem of devices and cloud-based software solutions. Our collaborative culture thrives on open communication and diverse perspectives, both from our customers and within our teams.Working at Axon is not just a job; it's a chance to make a tangible difference. Here, you will take initiative and make a real impact while growing personally and professionally in a fast-paced, meaningful environment.Your RoleWe are looking for adept and forward-thinking Machine Learning Scientists to enhance our AI team, focusing on applications of AI, particularly in Large Language Models (LLM) and Computer Vision across Cloud, Devices, and Robotics. As an integral part of our research and development initiatives, you will significantly contribute to advancing cutting-edge technologies in LLMs, Multimodal Large Language Models (MLLMs), Computer Vision, and Generative AI for law enforcement applications and more. You will work collaboratively with multidisciplinary teams to innovate, develop, and implement advanced LLM, MLLM, and CV models, enabling intelligent reasoning and perception of multimodal data.

About Mentis AIAt Mentis AI, we are pioneering the integration of artificial intelligence with human expertise to redefine industries. Our team is comprised of seasoned professionals from prestigious firms such as Lazard and Partners Group, and we operate across global markets from our key locations in London and San Francisco. We are dedicated to developing AI systems that deeply understand finance, healthcare, and law, collaborating closely with domain experts to enhance AI training.Your RoleThis internship is an exceptional opportunity, allowing you to work alongside our founding team and experienced finance experts. You will engage in meaningful projects that impact the way AI interprets financial markets. Your responsibilities will include:Developing Financial Models: Create DCF valuations, comparable company analyses, LBO models, and credit assessments to serve as training data for AI systems.Conducting In-Depth Financial Analysis: Analyze earnings reports, dissect financial statements, evaluate credit metrics, and produce high-quality research outputs that guide AI models in understanding finance professionals' reasoning.Creating Evaluation Frameworks: Design scoring rubrics and benchmarks to assess the AI’s ability to handle real-world finance scenarios, including merger analysis, debt structuring, and equity valuation.Establishing Annotation Guidelines: Convert complex finance workflows into structured labeling instructions for AI training.Testing AI Outputs: Critically evaluate model-generated financial analyses to identify potential errors in logic and methodology.Collaborating with ML Engineers: Work cross-functionally to refine prompts, enhance data quality, and boost model performance in finance-related tasks.We are a dynamic and agile team, seeking adaptable and enthusiastic individuals eager to contribute to our growth in various capacities.

Join Anthropic as an AI Safety Fellow, where our mission is to develop reliable and interpretable AI systems that prioritize safety and societal benefits. This unique opportunity allows you to engage in cutting-edge AI safety research for four months, with guidance from leading experts in the field. You will utilize external infrastructures to undertake an empirical project aligned with our research goals, culminating in a public output such as a research paper. We foster a collaborative environment, connecting you with the broader AI safety research community, and providing generous stipends and resources to support your research endeavors.