Lead Research Scientist in Manipulation & Autonomy

Job DescriptionJoin Fauna Robotics as a Lead Research Scientist and spearhead the advancement of innovative manipulation and autonomy systems tailored for humanoid robots navigating intricate, real-world environments. This position is ideal for a distinguished technical leader with a robust research background and a fervent desire to transform pioneering concepts into functional robotic solutions.In this pivotal role, you will be instrumental in shaping the technical strategy of our manipulation and autonomy framework, encompassing problem identification, algorithm development, system integration, and real-world implementation. While this position requires a hands-on, technical approach, it is also envisioned to evolve into a role focused on technical leadership and team development.We are flexible regarding titles for the right candidate, considering Staff, Principal, or VP-level positions, with responsibilities aligned with your experience and potential impact.

Join our dynamic team at Anthropic as a Research Engineer or Research Scientist specializing in Tokens. In this role, you will engage in groundbreaking research and development, contributing to the advancement of our token systems and enhancing their capabilities. Your work will be pivotal in shaping the future of our technology and driving innovation in our projects.

The City of New York seeks a City Research Scientist to assist with research projects that inform public policy and improve city services. This position plays a part in supporting data-driven work across several municipal departments. Role overview This role focuses on conducting research and analysis that helps guide decisions within city agencies. The work directly impacts how policies are developed and how services are delivered to residents. Key responsibilities Support research projects for city departments Contribute to data analysis that shapes public policy Help strengthen city services through evidence-based recommendations Location This position is based in New York City.

Who We AreAt Percepta, our mission is to revolutionize essential sectors through applied AI. We are dedicated to ensuring that key industries, such as healthcare, manufacturing, and energy, leverage cutting-edge technology. By collaborating with industry leaders, we facilitate AI transformation.Expertise in engineering, product development, and research.Mosaic, our proprietary toolkit for swift deployment of agentic workflows.Strategic alliances with companies such as Anthropic, McKinsey, AWS, and others in the General Catalyst portfolio.Our team is rapidly expanding, consisting of Applied AI Engineers, Embedded Product Managers, and Researchers who are passionate about integrating AI advancements into our daily lives. Percepta is a direct partnership with General Catalyst, a global leader in transformation and investment.About the RoleAs a Research Engineer/Scientist (Optimization) at Percepta, you will play a crucial role at the convergence of AI research and impactful real-world applications. You will push the boundaries of decision-making in vital industries by integrating state-of-the-art machine learning with robust optimization research. Collaborate closely with our Embedded Product Managers (EPMs) and engineers to ensure that our advanced decision systems are both innovative and practically beneficial for transforming organizational operations.ResponsibilitiesEstablish and lead ambitious research initiatives that broaden the horizons of data-driven decision-making.Develop innovative optimization and machine learning methodologies for significant challenges such as planning, scheduling, routing, pricing, and inventory management.Create high-fidelity simulators and comprehensive benchmarks that accurately reflect real-world constraints, uncertainties, and multi-objective trade-offs.Translate research into practical applications by partnering with engineers to swiftly prototype solutions and effectively implement research insights.You May Be a Great Fit If YouHold a degree in Computer Science, Operations Research, Industrial Engineering, or Applied Mathematics (MS/PhD preferred) or possess equivalent research or industry experience.Have demonstrated experience in optimization and machine learning.Exhibit a strong ability to collaborate and communicate effectively across multidisciplinary teams.

Join our dynamic team at abridge as a Research Scientist specializing in Measurement and Evaluation. In this pivotal role, you will be responsible for designing and conducting research studies that assess the effectiveness of our healthcare solutions. You will leverage your expertise to analyze data, interpret findings, and contribute to the advancement of our mission to improve patient outcomes through innovative solutions.

About Mirage Mirage builds an AI-powered video platform that brings production and editing together through natural language. The team focuses on models with strong contextual understanding, aiming to match the creative decisions of skilled editors. This approach boosts productivity for experienced teams and makes advanced video creation accessible to a wider audience. Learn More Product: Captions by Mirage Research: Seeing Voices (technical white paper) Updates: Mirage on X / Twitter Press: TechCrunch, Forbes AI 50, Fast Company Investors Mirage is backed by leading investors and entrepreneurs, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, and General Catalyst. Role Overview: Research Scientist, Video Generation This position is based at Mirage’s headquarters in Union Square, New York City. In-person attendance is required. Mirage seeks a Research Scientist with a focus on video generation. As an early member of the team, this person will help address foundational challenges in generative media. The role involves developing new modeling techniques, designing training methods, and scaling large video models for real-world use. Work in this area shapes systems used by millions of creators. What You Will Do Advance the quality, controllability, and realism of video generation models Focus on areas such as facial expression synthesis and scene understanding Develop and refine modeling and training strategies for large-scale video systems Collaborate with an interdisciplinary team to solve technical and creative challenges in generative media

About UsAt Percepta, we are on a mission to revolutionize pivotal industries through applied AI. Our focus is on ensuring that the sectors that drive our world, including healthcare, manufacturing, and energy, harness the power of cutting-edge technology. To achieve this, we closely collaborate with top-tier clients to facilitate AI transformation. We unite:Expertise in engineering, product, and research that is deployed at the forefront of innovation.Mosaic, our proprietary toolkit designed for the rapid implementation of intelligent workflows.Strategic alliances with leading firms such as Anthropic, McKinsey, AWS, and others within the General Catalyst portfolio.Our team consists of a dynamic group of Applied AI Engineers, Embedded Product Managers, and Researchers who are passionate about integrating AI to enhance everyday experiences. Percepta is a proud partner of General Catalyst, a global leader in transformation and investment.Role OverviewAs a Research Engineer/Scientist specializing in LLM Modeling at Percepta, you will be at the forefront of developing and deploying large-scale language models. You will engage in pre-training, post-training (including instruction tuning, alignment, and distillation), reinforcement learning, and the crafting of specialized architectures to enhance reasoning, decision-making, and adaptability across critical sectors.Collaboration is key as you will work closely with Embedded Product Managers and engineers to create innovative yet practical decision systems that significantly transform business operations.Identify significant challenges and formulate research strategies encompassing pre-training, post-training, RL, and specialized model development.Prototype and scale training pipelines for large language models, experimenting with architectures, optimization methods, and post-training tactics.Contribute to the infrastructure necessary for high-performance distributed training.Conduct extensive real-world evaluations that yield millions in value.Collaborate with applied AI engineers to transition successful research findings into actionable features within our Mosaic platform.Effectively communicate research outcomes to both technical and non-technical stakeholders, ensuring clarity on the implications of research and its applications.

Hello! I'm Brian, Co-Founder of Egra. We are thrilled to announce that we have successfully raised $5.5 million to develop foundational models for interpreting brain signals, and we are eager to welcome our inaugural research scientist to our innovative team.In this role, you will be empowered to take complete ownership of your projects from the outset. Say goodbye to prolonged onboarding processes, the need for excessive approvals, and bureaucratic hurdles. You will collaborate directly with the founders, tackling complex technical challenges and utilizing the resources available to drive solutions. You will have the unique opportunity to shape the research vision, make key architectural choices, and lay the groundwork for our core technology. If you're someone who thrives in an environment that offers high autonomy and desires to make a significant impact on the direction of a pioneering company, this role is perfect for you.Key ResponsibilitiesEEG (electroencephalography) is one of the most challenging real-world signal modalities in machine learning due to its low signal-to-noise ratio, vast subject variability, and inconsistencies across devices. Many shy away from this domain for these reasons.As our founding research scientist, you will collaborate closely with us to discover effective methodologies. Here’s a glimpse into the projects you will spearhead:Developing self-supervised pretraining objectives that enhance generalization across various subjects, devices, and recording conditions.Critically evaluating existing methods (including recent EEG foundation model studies) to identify their limitations across datasets and conditions, particularly under distribution shifts.Creating robust evaluation protocols that effectively differentiate genuine progress from noise, ensuring we maintain rigorous benchmarks.Documenting internal research findings through comprehensive memos that contribute to the lab's collective knowledge — addressing questions like "why model X fails on dataset Y" and "what Z dataset misleads us about".This position is about cultivating a thorough understanding of a modality that remains largely unexplored with modern machine learning approaches and transforming this insight into impactful advancements.Vision for the FutureWe are striving towards a future where thought serves as a direct interface.Imagine composing a message silently as it types itself or navigating an AR environment without any physical interaction. Software that adapts to your cognitive state in real-time. We are developing a universal interface connecting human cognition with digital actions.Our product development encompasses three pivotal layers:A Neural Encoder: a foundational model designed to translate raw EEG data into resilient, reusable embeddings that function seamlessly across diverse devices and recording environments.

About Tuesday LabAt Tuesday Lab, we are passionate about creating innovative robots that enhance daily life, making it easier and more enjoyable. If you find joy in watching robots assist with household tasks, love experimenting with new policies on robotic systems, and draw inspiration from the realms of science fiction, we invite you to join our team.Our diverse team of engineers, researchers, and builders thrives in an environment where we can bring our robotic creations to life. We believe in making the enchanting world of animated objects accessible to everyone.Graduate Student Manipulation InternshipWe are on the lookout for a dedicated graduate student to join our Manipulation Internship Program. During your 12+ weeks with us, you will play a pivotal role in enhancing and deploying interpretable robot policies, merging classical robotics with advanced models for perception and planning.This position is ideal for individuals who are excited to see their models in action on real robots, rather than just in simulations. You will be instrumental in connecting large-scale AI with practical, helpful, and delightful robotic behavior. If you’ve ever fine-tuned an open-source model to automate a morning coffee for yourself, you are exactly the right fit for us.

Mirage builds an AI-native platform for video production and editing, centered in Union Square, New York City. The platform uses natural language to guide intelligent orchestration, allowing advanced models to understand context and mimic the creative decisions of experienced editors. This approach aims to boost productivity for professional teams and open up video creation to a wider audience. About the Team The team at Mirage brings together people from a range of backgrounds, blending technical and artistic skills to solve tough challenges in generative media. The work goes beyond routine model development, focusing on problems that remain unsolved across the industry. Role Overview: Research Scientist, Large Language Models This early team role offers the chance to shape the core technology behind Mirage. The position involves tackling foundational questions in generative AI and creative tooling, with the potential to influence how people create and edit video for years to come.

Position OverviewArtificial Intelligence stands as one of humanity’s most transformative inventions. At Google DeepMind, our interdisciplinary team of scientists, engineers, and machine learning specialists is dedicated to pushing the boundaries of AI technology. We harness our innovations for widespread societal benefits and scientific advancements, collaborating with partners to tackle critical challenges while prioritizing safety and ethical considerations.About Our TeamWe are on the lookout for talented Research Scientists to join our Robotics division, where our mission is to responsibly develop embodied AI that positively impacts the physical world. This position focuses on ensuring the safe operation of humanoid robots through agentic reasoning, human-robot interaction (HRI) scenarios, and physical safety using VLA models.Role ResponsibilitiesAs a Research Scientist, you will engage in a dynamic variety of projects, including the creation of innovative algorithms and prototype applications, as well as real-world testing with robots both in laboratory settings and practical environments. You will collaborate with large teams to achieve groundbreaking advancements in Robotics AI. We believe that large foundational models, like our Gemini Robotics models, will revolutionize general-purpose robotics. Your work will be integral to shaping the future of robotics technology.Key Responsibilities Include:Designing, implementing, training, and evaluating large-scale models and algorithms for humanoid robotics.Making significant advancements in humanoid safety capabilities with a focus on:Development of algorithms and models to enhance a robot's self-awareness and VLA capabilities.Creating learned policies for effective interactions with humans and handling atypical scenarios, such as actuator malfunctions; Human-Robot Interaction.Writing software to implement and refine research concepts swiftly.Utilizing your expertise across various research domains, including simulation learning, reinforcement learning, vision-language-action models, and humanoid robot control.Collaborating effectively within a large team to meet ambitious research objectives in a fast-paced environment.Generating innovative ideas, designing experiments, and articulating research findings clearly for both internal and external audiences.

About EliseAIEliseAI is dedicated to transforming the critical sectors of housing and healthcare. We recognize that securing a home and accessing quality healthcare are essential yet often challenging tasks. By seamlessly integrating AI agents into existing workflows, we enhance efficiency, reduce costs, and significantly improve user experiences.Housing: Our platform simplifies the processes for renters—making apartment tours, lease signings, maintenance requests, and communication with property teams effortlessly manageable, all from a centralized hub.Healthcare: We streamline appointment scheduling, intake forms, and patient-provider communication, allowing all parties to prioritize health over administrative burdens.At EliseAI, organizations can decrease manual workloads, enhance accessibility, and create a seamless experience across vital services. Recently, we secured a $250 million Series E funding led by Andreessen Horowitz to further advance our mission.About The RoleWe are in search of exceptional Machine Learning experts to join our dynamic research team. Ideal candidates will possess strong mathematical and quantitative backgrounds, advanced programming skills, and impressive academic credentials, including but not limited to mathematicians, theoretical physicists, and computer scientists, all with a passion for applying their expertise to tackle real-world problems.As a Senior Research Scientist, you will explore cutting-edge challenges in machine learning and large language models, develop predictive algorithms to enhance our AI capabilities, and conduct systematic analyses of extensive datasets. You will lead comprehensive research initiatives aimed at advancing EliseAI's core models and play a pivotal role in shaping our research agenda. If you are eager to leverage your academic experience in a fast-paced startup setting, we invite you to apply.Key ResponsibilitiesIdentify pressing questions in tenant engagement, conversational AI, and LLM safety; convert them into structured projects.Design and execute experiments, develop prototypes, and manage large-scale data analysis.

The New York City Department of Environmental Protection (DEP) is dedicated to safeguarding public health and the environment through the provision of clean drinking water, efficient wastewater treatment, and the reduction of pollution from air, noise, and hazardous materials. As the largest combined municipal water and wastewater utility in the nation, employing nearly 6,000 professionals, DEP is committed to delivering 1.1 billion gallons of high-quality drinking water daily to over 8.3 million residents in New York City and more than 1 million in Upstate New York. Additionally, we manage the collection and treatment of approximately 1.3 billion gallons of wastewater each day.DEP collaborates with various City agencies to implement distributed stormwater management practices, known as “green infrastructure,” throughout the City’s public streets and sidewalks. These innovative practices, including rain gardens, infiltration basins, and porous pavements, are designed to enhance stormwater storage and facilitate the natural infiltration of stormwater into surrounding soils. The in-house Green Infrastructure Maintenance Unit, part of the Bureau of Environmental Planning & Analysis, oversees the operations and maintenance of these facilities, currently managing over 10,000 green infrastructure installations across the boroughs of Queens, Brooklyn, and the Bronx. More details about the NYC Green Infrastructure Program and its various practices can be found online: NYC Green Infrastructure Program.We are seeking a City Research Scientist to join our team and contribute to research on green infrastructure maintenance, data analysis, operational planning, Geographic Information Systems (GIS) mapping, program evaluations, and other related initiatives.Key Responsibilities Include:- Supporting GIS mapping and data management for DEP’s green infrastructure maintenance program.- Generating reports, charts, and graphs for leadership evaluation.- Assisting senior managers with special projects, including in-depth operational data studies and project management for major departmental initiatives.- Utilizing big data, statistical, and visualization tools to analyze complex datasets from various sources, and presenting findings through written reports and presentations.- Timely reviewing and responding to data requests, and assisting with mandated compliance reporting.- Participating in research and development studies regarding green infrastructure maintenance best practices.- Implementing data research projects to address inquiries from senior management concerning green infrastructure maintenance operations.- Making operational recommendations based on existing and projected green infrastructure asset data and locations.Job ID: CITY RESEARCH SCIENTIST - 21744

About EliseAIAt EliseAI, we are dedicated to transforming essential industries such as housing and healthcare. We understand that finding a home and receiving quality healthcare are fundamental needs, yet they can often be challenging to secure. By integrating advanced AI agents into existing workflows, we enhance efficiency, lower costs, and elevate the overall experience for everyone involved.Housing: Our platform streamlines the process for renters to tour apartments, sign leases, submit maintenance requests, and stay connected with property management—all in one convenient location.Healthcare: We simplify scheduling appointments, completing intake forms, and facilitate communication between patients and providers, allowing everyone to focus on health rather than paperwork.With EliseAI, organizations can minimize manual tasks, enhance accessibility, and provide a seamless experience across vital services. Recently, we secured a $250 million Series E funding led by Andreessen Horowitz to propel our mission forward.About the RoleWe are seeking exceptional professionals in Machine Learning and related fields to join our innovative team at EliseAI. This role is ideal for individuals with a strong foundation in mathematics and quantitative analysis—such as mathematicians, theoretical physicists, and computer scientists—who are eager to tackle real-world challenges. As a Junior Research Scientist, you will collaborate with a dynamic team of leading researchers on pioneering projects involving machine learning and large language models, developing predictive models to enhance our AI capabilities and much more. If you thrive in a fast-paced startup environment and are enthusiastic about applying your academic expertise in transformative applications, we would love to hear from you.Note: This position includes a 1-month trial period before transitioning to full-time employment.Key ResponsibilitiesDesign and optimize machine learning architectures to enhance conversational flow.Conduct thorough analyses to inform decision-making and boost the effectiveness of our AI solutions.Collaborate with cross-functional teams to integrate machine learning solutions into our products.

Join abridge as a Senior Research Data Scientist and play a key role in shaping the future of healthcare technology. You will leverage advanced data analytics and machine learning techniques to extract insights from complex datasets, driving innovation in our products and services.Your work will directly impact patient care and improve health outcomes through data-driven decision-making. Collaborate with cross-functional teams to design and implement research projects that contribute to our mission of transforming healthcare.

Normal Computing creates core software and hardware for the semiconductor industry, AI infrastructure, and other critical systems. The team operates in New York City, San Francisco, Copenhagen, Seoul, and London. Role overview The Silicon Research Engineering Lead will focus on pushing the boundaries of computing hardware and exploring the physical limits of computation. This role aims to unlock new levels of performance and efficiency that go beyond conventional architectures. Key responsibilities Guide early-stage concepts through research, evaluating which ideas are ready for production and which should change direction or pause. Stay informed about new silicon technology developments and bring in advances that align with Normal Computing’s strategy. Deliver designs that are well-characterized, feasible, and support company objectives, without direct involvement in SoC architecture or tapeout. Lead and mentor the silicon research team, collaborating with experts in device physics, analog circuits, and emerging computing architectures. Manage and grow partnerships with research collaborators, directing joint projects and maintaining effective relationships. Work closely with the silicon implementation team to connect research with practical development. Requirements Background in mathematics or physics and a strong research orientation. Extensive experience with non-traditional compute domains, such as analog, photonic, or neuromorphic technologies. Proven ability to move unconventional ideas toward practical, real-world use. Location This position is based in New York City.

Jaan Health is hiring a Lead Data Scientist with a focus on causal inference and clinical outcomes. This position supports a clinical outcomes study for Silver Cross Medical Group (SCMG), evaluating the effects of Advanced Primary Care Management (APCM) and Chronic Care Management (CCM) programs. The main goal: determine whether these programs reduce hospital readmissions and improve follow-up rates after discharge. What you will do Design and implement longitudinal studies to measure clinical outcomes and program effectiveness. Work with complex healthcare claims and EHR data to build an actuarial-grade causal inference framework. Audit and interpret work from a previous analytics vendor to help close out their engagement. Communicate complex statistical findings to both technical and non-technical stakeholders. Key requirements Expertise in causal inference and clinical outcomes research. Experience handling healthcare claims and EHR data. Background in health technology. Strong communication skills for explaining statistical results to stakeholders. Position details Location: Remote (Jaan Health is based in New York City) Job type: Contract or full-time (flexible) Duration: 16 weeks, from May 7, 2026 through August 27, 2026 Reports to: Director of Business Intelligence Compensation: $100 – $155 per hour Jaan Health develops AI-powered care management tools that help clinicians deliver personalized care for chronic conditions. Their proprietary platform, Phamily, supports proactive care and fair provider compensation. Learn more at phamily.com.

About UsPomelo Care is at the forefront of evidence-based healthcare for women and children across the nation. We provide personalized, high-quality clinical interventions from reproductive health and pregnancy to pediatric care and hormonal health management through perimenopause and menopause. Our approach emphasizes long-term preventive care and effective management of medical conditions. With a commitment to 24/7 multispecialty care, we address the medical, behavioral, and social determinants that significantly affect health outcomes for women and children. Partnering with payers, employers, and healthcare providers, we strive to enhance access to quality healthcare throughout the system.Role OverviewYour Mission: To develop innovative, data-centric products that enhance patient engagement and retention, ultimately improving the lives of mothers and their children.We are seeking a seasoned Staff Data Scientist to spearhead the data strategy within our Growth and Patient Experience team. This pivotal role focuses on two key areas: refining our top-of-funnel strategy to drive patient enrollment and advancing the creation of next-generation products that maintain patient engagement throughout their healthcare journey. Key responsibilities include:Developing expertise in patient behaviors, engagement patterns, and retention factors, while taking ownership of the team’s data science roadmap and influencing Pomelo's patient experience strategy.Collaborating intensively with the Marketing team to craft and optimize a multi-channel enrollment strategy, including building attribution models, analyzing funnel conversion rates, and determining the most effective resource allocation for patient enrollment.Defining and iterating on essential business health metrics, such as enrollment and retention rates, and presenting insights to Pomelo’s leadership team.Conducting exploratory analyses to inform the development of features aimed at enhancing enrollment and engagement, such as categorizing conversation topics and segmenting patient journeys.Establishing robust data pipelines and analytics infrastructures to integrate external, marketing, and product usage data, creating a cohesive view of the patient journey.Leading the team’s A/B testing strategy across marketing and product initiatives to accurately measure impact.Working closely with Product, Clinical, and Engineering teams to translate patient insights into actionable improvements and new feature developments.

About UsAt Contra Labs, we are a pioneering research lab dedicated to exploring the intersection of creativity and artificial intelligence. Our mission is to comprehend how creatives leverage AI, enhance AI tools to better meet creative demands, and uphold the diversity and originality that characterize exceptional creative work in an increasingly standardized world.We bridge a global network of elite creative professionals with cutting-edge AI laboratories and product companies. By embedding our research in authentic creative workflows, we establish benchmarks for excellence across various mediums including design, video, and imagery. Our findings directly inform the benchmarking, evaluation, and post-training processes for leading AI models and applications.As a subsidiary of Contra, the professional network for independent creatives, Contra Labs transforms human insights into the training and evaluation framework that empowers AI tools to serve their users effectively. Our focus remains steadfastly on the creative community.Role OverviewAs Contra Labs expands its client engagements in areas such as dataset creation, benchmarking, and evaluation partnerships, we are in search of a dedicated HCI Researcher. This role will entail overseeing the research and delivery processes from inception to completion. You will work across various projects involving AI labs, creative tool companies, and research teams, each with unique requirements and timelines. Your responsibilities will include scoping methodologies, designing evaluation protocols, assembling evaluator teams, maintaining quality standards, and ensuring the delivery of actionable insights.Key ResponsibilitiesDesign and lead comprehensive research studies, including annotation protocols, rubrics, and evaluation methodologies for multifaceted creative outputs.Conduct qualitative and quantitative analyses, synthesizing results into actionable insights and recommendations for our clients.Collaborate with creative domain experts, manage evaluator teams, and ensure consistent quality through real-time adjustments.Establish and standardize protocols for annotation, data quality, and inter-rater reliability across various projects.Effectively communicate research findings to stakeholders through comprehensive reports, engaging presentations, and interactive workshops.Work closely with engineering teams to address tooling requirements and contribute to Contra Labs' visibility through case studies and benchmark publications.Translate client objectives into meticulously crafted research plans, managing multiple concurrent projects with varying timelines and requirements.

Quick FactsRole: Quantitative ResearcherLocation: 5 days/week @ NYC HQBase Salary: $200K to $325KEquity: Competitive initial grant plus annual performance-based bonusesAbout MomentMoment is at the forefront of developing innovative trading and portfolio management technology. Our flagship product suite encompasses high-throughput market data pipelines, automated smart order routing algorithms, real-time portfolio ledgering and position tracking, as well as advanced portfolio optimization techniques.Founded in 2023 by a dynamic team of quantitative traders and researchers from Citadel and Jane Street, we have successfully secured over $100 million in funding from notable investors including Andreessen Horowitz and Index Ventures. Our technology supports critical operations for financial institutions managing assets exceeding $8 trillion.The Research Team at Moment tackles complex challenges such as:Executing over 100K variable portfolio optimizations within seconds.Creating machine learning models to predict relative value and future performance of fixed income securities.Formulating risk models to assess the tracking error across portfolios.Developing AI agents to conduct credit research, construct custom portfolios, and automate essential portfolio management functions.You're a Great Fit If...You are a quantitative researcher or trader, with a willingness to consider strong candidates from other fields.You possess a bachelor's degree or PhD in Mathematics, Physics, Statistics, Economics, or Computer Science.You have experience writing production-ready code in Python.You are resourceful and eager to tackle challenges.You enjoy collaborating closely with clients; at Moment, researchers also act as product managers.Preferred QualificationsExperience in fixed income quantitative research.Familiarity with numerical optimization techniques.Knowledge of factor and risk models.Experience with Polars.Proficiency in machine learning pipelines.Experience with multi-modal LLMs.BenefitsHealth Insurance401k