Staff Research Engineer

Role overview Decagon seeks a Staff Research Engineer based in New York City. This position helps guide research efforts and supports the development of technical solutions that serve a range of industries. The Staff Research Engineer works alongside a skilled team, taking projects from early ideas through to working implementations. What you will do Advance research initiatives at Decagon through direct engineering contributions Collaborate with team members to design and build new technical solutions Apply technical expertise to projects that impact several sectors Requirements Solid background in both research and engineering Interest in tackling complex technical problems Strong collaborator who values team-based problem solving

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.

About CampusCampus is transforming the landscape of higher education with a bold mission: to accelerate the development of tomorrow's talent and redefine the college experience for today’s aspiring students. As college expenses soar, the outcomes remain stagnant, leaving students in a lurch. We believe that traditional education must evolve to meet the ambitions of modern learners who cannot afford to wait.At Campus, we offer a cutting-edge, accredited two-year college program where students engage with esteemed professors from top-tier universities such as Princeton, Stanford, and Howard through dynamic, live online classes. Our graduates emerge equipped with essential business and AI skills, prepared to embark on their careers or transfer to prestigious four-year institutions. Our innovative approach is built upon a state-of-the-art technology platform and a meticulously researched model of student success that ensures each learner receives personalized guidance and on-demand academic support. We are honored to be recognized as one of Fast Company's Most Innovative Companies of 2024.Supported by an exceptional group of investors who share our passion for the future of education—including General Catalyst, Founders Fund, Bloomberg Beta, 8VC, Rethink Education, and notable figures like Sam Altman and Shaquille O’Neal—we are poised to lead the charge in educational innovation.As the landscape of higher education evolves, we are at the forefront of change. Join us in shaping the future!About the RoleWe are in search of a Senior Staff AI Research Engineer who is passionate about making Campus the leading organization in AI-driven learning. This pivotal role calls for extensive technical expertise in machine learning and a fervor for creating innovative systems that enhance and personalize the student experience. You will spearhead research initiatives, develop production-ready AI features, and contribute to scholarly publications that push the boundaries of AI in education.Your Journey with Us Will Involve:Designing and developing groundbreaking AI systems to enrich the Campus learning experienceConducting thorough experiments to validate the efficacy of these systems...

Decagon seeks a Senior Research Engineer based in New York City. This role centers on driving research initiatives and developing new technologies that align with the company’s objectives. Role overview The Senior Research Engineer collaborates with team members from various disciplines. The work involves designing experiments, analyzing outcomes, and creating solutions for complex challenges. Key responsibilities Advance research projects that contribute to Decagon’s goals Build and refine technologies to address technical problems Work with colleagues from diverse backgrounds to design experiments and interpret findings

Voleon Securities is seeking a highly skilled and experienced Senior Member of Research Staff to join our dynamic team in New York City. In this pivotal role, you will leverage advanced quantitative techniques and cutting-edge data analysis to drive our research initiatives forward. You will collaborate with a talented group of professionals to develop innovative algorithms and models that enhance our trading strategies and improve overall performance.As a Senior Member of Research Staff, you will be expected to mentor junior researchers, contribute to the intellectual growth of the team, and lead critical research projects. Your expertise will play a crucial role in shaping our research direction and ensuring the success of our strategic objectives.

Our MissionAt Reflection AI, we are dedicated to creating open superintelligence that is accessible to everyone.Our innovative team is developing open weight models tailored for individuals, agents, enterprises, and even nation states. Our group of AI researchers and industry pioneers hail from top organizations including DeepMind, OpenAI, Google Brain, Meta, Character.AI, and Anthropic.Your Role's MissionAs a crucial member of our team, you will play a pivotal role in bridging the divide between research and production by converting advanced algorithms into scalable training systems. Your expertise will help design and optimize the foundational infrastructure that supports cutting-edge AI models — including reinforcement learning training loops, distributed GPU training, and extensive data pipelines.Our systems are engineered to train models across thousands of GPUs while managing petabyte-scale datasets. We prioritize numerical stability, high throughput, and reproducibility in our processes.Team OverviewThis team is responsible for the evolution and management of the core infrastructure that underpins our training systems.Our focus areas include:Reinforcement learning training infrastructureDistributed training and inference systemsExperiment infrastructure and reproducibilityLarge-scale data pipelinesOur goal is to construct an engineering foundation that enables researchers to iterate swiftly while training models at a massive scale.Role OverviewYou will be responsible for architecting and optimizing the core training infrastructure that powers our models, including RL training loops, distributed GPU systems, and large-scale data pipelines.Collaborating closely with researchers, you will assist in transforming innovative ideas into reliable, scalable training systems.Key Responsibilities:Design and optimize large-scale training loops and data pipelines.Implement cutting-edge techniques while ensuring numerical stability and computational efficiency.Develop internal tools for launching, monitoring, and reproducing complex experiments.Identify and resolve deep bottlenecks across the training stack (e.g., GPU memory issues, communication overhead, dataloader stalls).Translate research prototypes into reusable, production-grade infrastructure.

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.

Anthropic is looking for a Research Engineer focused on model evaluations. This position involves research and development to assess and strengthen the performance of AI models. Teams are based in San Francisco and New York City, and the role supports remote work with required travel. Key responsibilities Design and implement evaluations for Anthropic's AI models Collaborate with team members to enhance model performance Contribute to research that pushes the boundaries of AI systems Location Remote-friendly (travel required) San Francisco, CA New York City, NY

Our VisionAt Reflection AI, we are dedicated to the mission of creating open superintelligence and ensuring it is accessible to everyone. Our team is committed to developing open weight models that cater to individuals, agents, enterprises, and even nation-states. Our diverse group of AI researchers and innovators hail from esteemed organizations such as DeepMind, OpenAI, Google Brain, Meta, Character.AI, and Anthropic.Foundational ObjectivesVision:We aim to establish and manage a company-wide foundational platform that enhances every team’s productivity by delivering dependable, scalable developer infrastructure, site reliability engineering capabilities, and high-throughput data ingestion tools—empowering Reflection AI to progress swiftly as we expand.Team ResponsibilitiesOur team is responsible for constructing and managing essential shared services that fuel our research, training, and production environments. These systems form the backbone that supports various teams in model development, deployment, and evaluation, integrating data, compute, and workflow management while facilitating rapid experimentation and robust production systems.Design and manage shared services that multiple teams utilize across research and production workflows.Establish and maintain reliability targets through Service Level Indicators (SLIs), Service Level Objectives (SLOs), and effective on-call practices.Ensure operational readiness through comprehensive runbooks, incident playbooks, and capacity planning.Guarantee correctness and performance under load, addressing issues like consistency, tail latency, and failure modes.Create APIs, SDKs, and internal platforms that support high-velocity experimentation and iteration.Minimize operational burden through enhanced tooling, standardization, and scalable platform patterns across teams.Technologies You'll Engage WithContainer Abstractions: Containers-as-a-Service, Kubernetes abstraction layers, container orchestration, reproducible environments, multi-tenant isolation.Distributed Systems Architecture: Sharding, replication, coordination services, high-concurrency systems, concurrency control.Service Development Stack: gRPC, Protobuf, Go, Rust, C++.Reliability & Performance: Idempotency, retries, backpressure, SLI/SLO design, tail latency optimization, service reliability engineering.Your ProfileWe are looking for a talented individual with a solid background in distributed systems and a passion for building scalable solutions.

About Anthropic Anthropic builds AI systems with a focus on reliability, interpretability, and steerability. The company’s mission centers on making AI safe and beneficial for both users and society. Teams at Anthropic include researchers, engineers, policy specialists, and business leaders who work together to advance AI for the greater good. Safeguards Labs Team Safeguards Labs operates where research meets engineering. The team explores new safety methods to protect Claude and its users. Members design and prototype approaches for model safety, usage controls, and production reliability. Before moving ideas into production, the team tests concepts through offline analysis and controlled traffic trials. Safeguards Labs collaborates with groups focused on account abuse prevention and model behavior safeguards, serving as the research arm that turns complex safety challenges into practical defenses. Role Overview: Research Engineer Research Engineers in Safeguards Labs shape and execute the team’s research agenda. This role involves scoping independent projects, running experiments end to end, and deciding when a concept is ready for production or should be set aside. The team is intentionally small, with about three researchers for every software engineer. This structure gives each person broad autonomy and a strong voice in the direction of the group. Location San Francisco, CA or New York City, NY

Join the Innovative Team at FLORAAt FLORA, we empower the new creative class with cutting-edge tools that redefine creative expression. Our intelligent canvas integrates advanced AI models to facilitate professional-grade craftsmanship. Backed by $52 million in funding from top-tier investors like Redpoint Ventures and Menlo Ventures, we are a dynamic team of around 20 dedicated to serving a diverse clientele, including renowned brands like Pentagram, Lionsgate, and Nike.About the PositionWe are in search of a Staff Product Engineer who will take ownership of essential elements of FLORA's product. As a technical leader, you will influence our frontend systems, focusing on canvas rendering, intricate workflow interactions, and the media layer crucial for image and video editing.We need a candidate who is passionate about their craft, delivers polished work swiftly, and continuously enhances it until it stands out. You will have significant influence over the technical direction and the opportunity to shape the future of our product engineering team.In This Role, You Will:Create canvas and workflow systems that simplify complexity, enabling users to effortlessly manage intricate, multi-step pipelines.Enhance our media control layer to expand image and video editing functionalities.Deliver high-performance, visually stunning UI that meets the expectations of creative professionals.Make architectural decisions throughout our frontend stack (Next.js, Zustand, React Flow, Convex, Vercel).Implement features that encompass the entire stack.Ideal Candidates Will Have:7+ years of experience developing web applications, with a proven track record of delivering polished products at scale.5+ years of extensive experience with React and TypeScript, possessing strong views on component architecture, state management, and performance optimization.Hands-on experience in creating high-performance, visually appealing web applications.Experience in building successful products from the ground up.Demonstrated technical leadership skills: guiding direction, making architectural choices, and uplifting fellow engineers.Exceptional Candidates Might Also Possess:Experience with AI-driven applications.Familiarity with specialized web media APIs: WebGL (@react-three/fiber), WebGPU, WebCodecs, or WebAssembly.

Join Crosby as a Staff Frontend Engineer, where you will lead the development of innovative web applications that enhance user experiences. Collaborate with cross-functional teams to design, implement, and maintain scalable software solutions. Your role will involve mentoring junior developers, conducting code reviews, and ensuring best practices in frontend development.

Join Campus as a Staff Platform Engineer, where you'll play a crucial role in shaping our platform’s architecture and enhancing our technological capabilities. You will collaborate with cross-functional teams to design, develop, and maintain scalable solutions that power our innovative educational initiatives.

Playground builds software to help child care providers manage their businesses more efficiently. The platform supports thousands of schools across the United States, with a focus on making high-quality child care more accessible. The company has secured millions in funding and holds several statewide contracts, reflecting strong momentum in the education technology space. Playground’s founders have been recognized on the Forbes 30 Under 30 list for their work in child care technology. The team values a culture where ownership and collaboration are central. Engineers at Playground regularly work together on challenging projects that have a direct impact on customers and the broader child care sector. Role overview This Staff Software Engineer position is based in New York City. The role centers on building and improving Playground’s core products as the company grows. Engineers here contribute to significant technical decisions and help shape the future of the platform. What you will do Work on complex software projects that support child care businesses nationwide Collaborate closely with other engineers and teams to deliver high-impact solutions Take ownership of technical challenges and contribute to a culture of shared responsibility Requirements Experience leading or contributing to large-scale software projects Ability to work effectively in a collaborative, team-driven environment Based in or willing to work from New York City

About SecurityScorecard: SecurityScorecard is the premier authority in cybersecurity ratings, continually assessing over 12 million companies across 64 countries. Established in 2013 by cybersecurity pioneers Dr. Alex Yampolskiy and Sam Kassoumeh and backed by top-tier investors, our innovative rating technology is utilized by more than 25,000 organizations for self-assessment, third-party risk management, board reporting, and cyber insurance underwriting. Our mission is to enhance the resilience of organizations by simplifying the identification and remediation of cybersecurity vulnerabilities throughout their digital landscape. Based in New York City, our workplace culture has earned accolades from Inc Magazine as a "Best Workplace," and recognition from Crain’s NY as one of the "Best Places to Work in NYC." We are proud to have been listed among the 10 hottest SaaS startups in New York for two consecutive years. Recently, SecurityScorecard was featured on Fast Company’s annual list of the World’s Most Innovative Companies for 2023 and received the Achievers 50 Most Engaged Workplaces award in 2023, highlighting our commitment to employee engagement. We are grateful for the support of our esteemed investors, including Silver Lake Waterman, Moody’s, Sequoia Capital, GV, and Riverwood Capital.

OverviewAt OXMAN, a pioneering nature-focused research and design firm based in Manhattan, we leverage nature-centric solutions to tackle pressing challenges at the intersection of Nature and Humanity. Our interdisciplinary approach spans various sectors, fostering innovative concepts that redefine the interaction between the built environment and the natural ecosystem.Our initiative, EDEN, is dedicated to applied ecological systems operating on architectural, urban, and landscape scales. We are at the forefront of creating a digital design framework that engineers biodiverse and resilient ecosystems by developing software that empowers designers and engineers to incorporate essential ecosystem services—such as carbon sequestration, thermal buffering, and biodiversity—into their master planning and design processes. Our mission is to elevate ecosystem services from undervalued byproducts to vital infrastructure elements. We invite talented professionals to join us in revolutionizing the future of nature-centric design.We are currently seeking a Machine Learning Research Engineer to integrate into our dynamic design team in New York City. This role will be pivotal in supporting our efforts to deliver exceptional, data-driven design proposals utilizing EDEN’s innovative suite of ecosystem engineering tools.

Join Our Team as a Staff Product EngineerAt Tennr, we are transforming the way healthcare referrals are managed. Today, when patients are referred to specialists, they often face long wait times due to the overwhelming number of referrals and the manual processes involved. We eliminate these delays and denials by ensuring that every referral is processed efficiently and accurately. Our cutting-edge technology, powered by RaeLM™, reads, extracts, and acts on patient information, enabling healthcare providers to capture more referrals, reduce denials, and significantly cut down on delays.Your RoleWe are seeking a Staff Product Engineer (Full Stack) who is passionate about turning ideas into impactful solutions. In this role, you will architect and implement end-to-end features across both frontend and backend environments, directly contributing to customer satisfaction. This may involve designing database schemas, developing backend APIs, or creating user-friendly frontends that healthcare professionals find delightful and easy to navigate.Collaboration is key: you will work closely with our product and design teams to gain insights into user interactions, translating them into informed product decisions. You will also liaise with sales and customer success teams to incorporate genuine customer feedback into our offerings. Embrace the latest advancements in artificial intelligence as you work in one of the most dynamic technology sectors.If you possess a founder's mindset, thrive in fast-paced environments, and take pride in owning the full lifecycle of a feature—from conception to implementation and iteration—this opportunity is for you. Additionally, you will lead performance optimization initiatives, ensuring our code remains efficient, scalable, and aligned with industry best practices as we expand.This role is ideal for a versatile engineer eager to work across the entire technology stack and dedicated to creating user experiences that positively influence the future of healthcare.Key ResponsibilitiesDesign and implement features that provide tangible value to customers across our frontend and backend systems.Adopt and apply state-of-the-art techniques in artificial intelligence to enhance our products.

Role overview Betterment seeks a Senior Staff Engineer to help shape the future of its technology. This position is based onsite at Betterment HQ in New York City. What you will do Lead complex engineering projects from initial planning through to execution Mentor junior engineers and support their technical development Collaborate with product and design teams to launch new features and refine existing ones Apply deep technical knowledge to strengthen Betterment's investment platform and create value for clients

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, the Co-Founder of Egra. We have recently secured $5.5M in funding to develop foundational models for brain signals, and we are on the hunt for our inaugural research engineer.From day one, you will possess full ownership of your projects. Forget about lengthy onboarding processes, waiting for approvals, or navigating through bureaucracies. Here, you will collaborate directly with the founders on complex technical challenges, armed with the resources necessary to address them. You will define the architecture of our infrastructure, make pivotal engineering choices, and construct the systems that drive our research forward. If you excel in an environment that values high agency and wish for your contributions to directly influence the company's direction, this is an exceptional opportunity.Key ResponsibilitiesEEG, or electrical activity of the brain recorded from the scalp, is one of the most challenging real-world signal modalities in machine learning due to its low signal-to-noise ratio, significant subject variability, and inconsistencies across devices. Most shy away from these challenges.As our founding research engineer, you will oversee the systems that facilitate our research. Specific projects you will manage include:Creating versioned and reproducible preprocessing pipelines for EEG data from various sources, including device-specific normalization, channel mapping across montages, artifact detection, and signal quality assessments. Your systems will be able to instantly respond to queries like, "Which preprocessing version generated this result?"Designing infrastructure for experiment tracking and training that allows us to conduct numerous pretraining experiments concurrently without losing track of changes in hyperparameters, data splits, preprocessing versions, and model checkpoints, ensuring everything is linked and reproducible.Developing a data ingestion system capable of assimilating various EEG formats (EDF, BDF, BIDS, proprietary device exports) and normalizing them into a clean, internal representation.Enhancing training pipelines for optimal throughput on noisy, variable-length signal data using mixed precision, intelligent batching across different recording lengths, and efficient data loading for datasets that don't conform to standard loaders.Our VisionWe are aspiring to create a world where thought serves as an interface.Imagine composing a message silently as it types itself. Or navigating an AR display without any physical interaction. Our software aims to adapt to your cognitive state in real time, establishing a universal interface between human thought and digital interaction.