Silicon Research Engineering Lead

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

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.

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

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

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...

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

DailyPay is reshaping payroll for employees across the United States through an on-demand pay platform. With headquarters in New York City and operations extending to Belfast, the company focuses on supporting employee motivation and financial well-being. More information is available at DailyPay's Press Center. The Senior Product Researcher will play a central role in building DailyPay’s flagship consumer financial product, aimed at helping millions of workers manage their earned wages. This position works within a collaborative product strategy team and serves as the primary advocate for user perspectives across product, design, engineering, and marketing groups. The role emphasizes applying user-centered design principles at scale to deliver meaningful financial experiences. What you will do Champion the needs and perspectives of DailyPay users throughout product, design, engineering, and marketing initiatives. Design and conduct qualitative research such as in-depth interviews, ethnographic studies, and diary studies. Plan and execute quantitative research to complement or challenge qualitative insights. Spot new product opportunities by analyzing user needs, market trends, and behavioral data, with a strong focus on mobile interfaces. Create personas, behavioral archetypes, journey maps, and service blueprints to foster team understanding and highlight key opportunities. Work with product teams to reframe concepts as testable hypotheses. Prototype and organize concept testing with users, targeting essential product flows. Lead workshops to synthesize research findings and develop creative solutions. Participate in user-centered design sprints with cross-functional partners. What we look for Curiosity and an entrepreneurial approach to problem solving. Expertise in a variety of research methods, both qualitative and quantitative. Strong understanding of user behavior and the ability to turn insights into actionable product improvements. Experience identifying and implementing enhancements to consumer financial products.

Our mission: to eliminate every barrier to mental health.At Spring Health, we’re dedicated to transforming mental healthcare by dismantling every obstacle that hinders individuals from receiving timely assistance. Our clinically validated technology, Precision Mental Healthcare, enables us to provide personalized care—whether it's therapy, coaching, medication, or more—designed to meet each person's unique requirements.We proudly collaborate with over 450 organizations, ranging from emerging startups to established Fortune 500 companies, as a premier provider of mental health services, supporting the well-being of 10 million individuals. Our esteemed clients include well-known brands such as Microsoft, Target, and Delta Airlines, all of whom rely on us for exceptional outcomes for their global workforce. Through our innovative platform, we have achieved a net positive ROI for employers and are the sole provider in our sector to have received external validation for delivering net savings to our customers.With significant investments from notable entities like Generation Investment, Kinnevik, Tiger Global, and Northzone, we have secured our latest Series E funding, bringing our valuation to $3.3 billion. The journey to make mental healthcare universally accessible is just beginning—join us!Spring Health is on the lookout for a Senior UX Researcher whose insights will enhance the experience for individuals seeking mental health services for themselves and their families. You will be part of an engaged cross-functional Product team, focused on measurable outcomes, and empowered to influence key performance indicators and business results. As a hands-on, collaborative researcher, you will take ownership and drive impact alongside our expanding UX Research team.Please note this is a hybrid role based in New York City, with an expectation to work in the office 2-3 days a week.What you’ll be doing:

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 JuniorAt Junior, we are on a mission to revolutionize the investment research process for private market investors through innovative LLM-powered tools. Our esteemed clients include some of the top 10 private equity and consulting firms globally, collectively managing billions in investments annually. As a profitable and bootstrapped startup, we have a dynamic team of 24 professionals based in London and New York City.Learn more about our mission and values here. Role OverviewAs a Senior Backend Engineer, you will play a pivotal role in building and scaling the systems that drive our AI-enhanced research platform. This systems-level position is a perfect fit for engineers passionate about data flows, orchestration, and optimizing performance across complex distributed environments.Being one of our initial engineering hires, you will have the exceptional opportunity to:Deliver solutions rapidlyDesign and scale backend systems that facilitate high-throughput LLM interactions, vector searches, and multi-agent orchestration.Integrate AI infrastructure across various model providers, data stores, and internal APIs to construct cohesive and high-performing systems.Enhance reliability and observability, aiding in the evolution of our database systems (Postgres / ClickHouse) and job orchestration mechanisms.Prototype new backend functionalities (retrieval pipelines, caching layers, async task queues) to expedite our development processes.Influence our engineering culture About YouWe seek product-focused backend engineers who:Are based in NYC, as we operate 5 days a week in the office.Are enthusiastic about the fusion of AI infrastructure and systems design.Possess experience in leading projects from inception to completion.Are eager to influence product decisions.Are proficient in our technology stack: Next.js, TypeScript, PostgreSQL.Feel a constant drive to build faster.

Kepler: AI You Can Trust and VerifyAt Kepler, we recognize that every AI tool comes with its challenges, particularly when it comes to data interpretation. Traditional models often guess numbers, fabricate sources, and provide inconsistent answers, which is unacceptable for professionals making multimillion-dollar decisions.Our proprietary architecture eliminates the problem of hallucination by ensuring that AI accurately interprets intent. Deterministic code retrieves precise figures from source documents, ensuring that our model never produces a number that could be incorrect. Every output is traceable to specific filings, with transparent calculations that are defensible.Currently operational with over 950,000 SEC filings, 14,000 companies, and 40 million documents across 27 global markets, we are trusted by firms that cannot afford to be wrong.While our architecture is domain-independent, our initial focus is on finance—where the need for accuracy is most critical. Future expansions include healthcare, legal, and insurance sectors, utilizing the same system with new data sources. Our vision transcends a single finance product; we are constructing the verification layer for the entire AI ecosystem.Founded by industry veterans Vinoo Ganesh (7 years at Palantir, former Head of Business Engineering at Citadel) and Dr. John McRaven (11 years at Palantir, creator of the analytics engine behind over $100 million in contracts with BP and Airbus, Ph.D. in Physics), we are backed by pioneers from OpenAI, Facebook AI Research, MotherDuck, dbt, and Outerbounds.The RoleAs a Senior Forward Deployed Software Engineer at Kepler, you will serve as the technical architect for our most significant client relationships. Collaborating directly on-site with our key customers—including sophisticated financial firms and research organizations—you will deploy, customize, and optimize our AI-native research platform to meet their unique workflows and requirements.This role embodies our core principle: 'Forward-Deployed with Product DNA.' By embedding directly with clients, you will not only own their outcomes but also contribute to the platform that serves the entire market. Your coding decisions will significantly impact high-stakes research outcomes.Within the first 90 days, you will:Quickly build and develop vertical applications atop our core platform.Engage with Portfolio Managers at institutions managing over $10 billion in assets under management (AUM) to define and construct workflows.Cultivate profound expertise in agentic tooling, products, and technologies.Take ownership of customer engagements from inception to completion.This position is ideal for individuals eager to shape the future of financial research while working closely with the world's leading analysts.

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.

Who We Are:At Percepta, our mission is to revolutionize critical sectors through applied AI. We believe in leveraging cutting-edge technology to enhance industries that are foundational to our world, including healthcare, manufacturing, and energy. Our approach involves closely collaborating with industry-leading clients to facilitate AI transformation. Our strengths include:Expertise in engineering, product development, and research deployed at the forefrontMosaic, our proprietary toolkit designed for the swift implementation of intelligent workflowsStrategic alliances with renowned organizations such as Anthropic, McKinsey, AWS, and others within the General Catalyst portfolioOur rapidly expanding team consists of Applied AI Engineers, Embedded Product Managers, and Researchers dedicated to translating the potential of AI into tangible improvements in everyday life.Percepta proudly operates as a direct partnership with General Catalyst, a global leader in transformation and investment.About the Role:As an Embedded Research Engineer/Scientist at Percepta, you will push the boundaries of AI research while collaborating closely with clients to create significant real-world impact. Your work will encompass post-training reinforcement learning, agentic modeling, and specialized architectures, with an emphasis on translating research advancements into production systems that revolutionize operations in crucial sectors.In contrast to conventional research roles, you will be integrated within client teams, gaining insights into business challenges, formulating research strategies that meet actual needs, and rapidly iterating based on field feedback. You will collaborate with our Embedded Product Managers, Research Product Managers, and Applied AI Engineers to ensure your research yields measurable value and is effectively deployed into active production.What You'll Do:Engage directly with clients to pinpoint high-impact research challenges that align frontier AI capabilities with critical business demands.Develop and implement research strategies focusing on LLM post-training, reinforcement learning, agentic modeling, and tailored model development that address client-specific issues.Create prototypes and scale training pipelines, experimenting with model architectures, optimization techniques, and post-training methodologies while quickly adapting based on client feedback.Conduct extensive customer evaluations that clearly demonstrate business value and foster AI adoption.

About the Role Anthropic is hiring a Software Engineer to support our Research Data Platform. This position is based in San Francisco, CA or New York City, NY. The team works closely with engineers and researchers to create data solutions that strengthen our research efforts. The work directly supports Anthropic’s mission to develop safe and beneficial AI.

Join Kepler AI: Redefining Trust in AI.At Kepler, we understand the critical nature of data integrity in AI tools. Our innovative architecture eliminates the possibility of hallucination, ensuring that every output is derived from verifiable sources. This means dependable answers for those making high-stakes decisions.With over 950,000 SEC filings, 14,000 companies, and 40 million documents across 27 global markets, our platform is trusted by firms that cannot afford to be wrong.We aim to provide a universal verification layer for AI, starting with finance and expanding into healthcare, legal, and insurance sectors. Our founders bring extensive expertise from industry leaders like Palantir, Citadel, and OpenAI.The RoleAs a Forward Deployed Engineer at Kepler, you will play a pivotal role in shaping our relationships with key clients. Your responsibilities will include deploying and customizing our AI-native research platform to meet the unique workflows of sophisticated financial firms and research organizations.This role embodies our principle of being "Forward-Deployed with Product DNA," meaning you will directly collaborate with clients to ensure their success while enhancing our platform for broader market use. Your code will influence significant financial outcomes.In your first 90 days, you will:Quickly create and refine vertical applications built on our core platform.Collaborate with Portfolio Managers managing over $10 billion in assets to design and implement tailored workflows.Gain deep insights into agentic tools, products, and technologies.Take ownership of the customer engagement process from start to finish.This is the ideal position for individuals eager to innovate in the future of financial research.

About Mirage Mirage builds an AI-powered video platform in Union Square, New York City. The team focuses on transforming video production and editing by applying natural language processing. Their models aim to capture the creative decisions professional editors make, helping skilled teams work faster and making video creation accessible to more people. Role Overview: Research Engineer, Video Generation This role joins an interdisciplinary group working on technical and creative problems in generative media. As an early member of the engineering team, the position involves shaping core solutions to industry-wide challenges. The work directly influences how creative expression evolves in video production.

About RWA.xyzAt the forefront of capital market innovation, RWA.xyz leads the charge in the tokenization of financial assets. Our platform capitalizes on the transformative potential of blockchain technology, facilitating programmable and instantaneous settlements. The tokenization market, now valued at over $25 billion, is witnessing an exponential growth rate of 300% year-over-year, yet it represents less than 0.01% of the total $500+ trillion global financial assets.We proudly serve as the trusted data partner to esteemed financial institutions such as Goldman Sachs, J.P. Morgan, the U.S. Treasury, and the IMF, among others. Backed by premier investors across traditional finance and the crypto sector—including Archetype, Jump, and Solana—our team comprises top-tier talent drawn from Silicon Valley and Wall Street.OverviewTeam: Research | Type: Individual Contributor | Level: Mid-Career (3-5 years of experience) | Compensation: $130k-170k salary + 0.25%-0.75% equity, depending on experience | Location: Hybrid in NYCWhat You’ll DoAs a Senior Research Analyst, you will cement RWA.xyz as the definitive authority in tokenized markets. Through your research and analysis, you will educate institutions on this emerging asset class, converting our unique datasets into compelling narratives that enhance organic visibility, attract media coverage, and establish essential reading material for stakeholders interested in tokenization.Your responsibilities will include:Publishing Pioneering Research — Craft monthly reports addressing market trends, comprehensive asset class analyses, and data-driven insights that set industry standards for tokenization.Engaging with Media — Foster relationships with journalists from Bloomberg, Reuters, and the Financial Times; proactively pitch data-driven stories and position yourself as an expert source.Enhancing Content through Data Journalism — Collaborate with engineering teams to create programmatic SEO pages for thousands of assets, generating self-updating content that dominates search rankings.Boosting Viral Engagement — Develop embeddable visualizations and insightful charts that are shareable across platforms like LinkedIn, Twitter, and research publications.Creating Sustainable Knowledge — Build a repository of industry knowledge that reinforces our position as leaders in the tokenization space.