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Experience Level
Experience
Qualifications
To succeed in this role, you should possess:
Strong programming skills in languages such as Python or Java.
Experience with machine learning frameworks and libraries.
A solid understanding of data structures, algorithms, and software development best practices.
Excellent problem-solving abilities and a passion for AI research.
A degree in Computer Science, Data Science, or a related field is preferred.
About the job
As an AI Research Engineer at Datadog, you will collaborate closely with our research scientists to transform innovative research concepts into functional systems. You will play a vital role in developing the data, tools, and infrastructure necessary for rapid iteration, thorough evaluation, and seamless transition from prototype to production.
Building on our successful history of AI-driven solutions such as Bits AI, Watchdog, and Toto, Datadog AI Research is dedicated to tackling ambitious projects that address real-world challenges in cloud observability and security.
Our current research focuses on three key areas:
Observability Foundation Models – Creating advanced models for forecasting, anomaly detection, and multi-modal telemetry analysis (including logs, metrics, traces, etc.). These models will serve as the foundation for our agents to analyze telemetry data natively.
High-Impact AI Projects – Engaging in projects that push the boundaries of AI applications in observability and security.
Collaborative Research – Partnering with cross-functional teams to enhance our AI capabilities.
About Datadog, Inc.
Datadog is a leading monitoring and analytics platform for developers, IT operations teams, and business users. We provide observability solutions that empower organizations to enhance their cloud infrastructure and applications.
Full-time|$236K/yr - $295K/yr|On-site|New York, NY
Role Overview Ridgeline is looking for a Senior Staff AI Research Engineer to join the AI Platform team in New York, NY. This group focuses on advancing AI research and building practical solutions for complex, real-world problems. The position centers on evaluating machine learning models and large language models (LLMs) to improve their performance and imp…
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Join Databricks as a Staff Software Engineer focused on AI Research Infrastructure, where you will play a pivotal role in advancing cutting-edge AI technologies. Your expertise will contribute to building robust systems that support our research initiatives and drive innovation in the AI field.
Full-time|On-site|New York City, New York; San Francisco, California
Join Databricks as a Staff Software Engineer focused on AI Research Infrastructure. In this pivotal role, you will contribute to the development of cutting-edge AI technologies that push the boundaries of innovation. Collaborate with a team of experts to design and build scalable solutions that empower organizations to harness the full potential of AI.
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Full-time|Hybrid|Hybrid, San Francisco, Los Angeles, New York
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Scribd, Inc. brings together products like Scribd®, Slideshare®, Everand™, and Fable, all focused on moving people beyond basic access to information toward deeper understanding and hands-on expertise. Workplace Culture Authenticity and bold thinking shape daily work at Scribd. The team values open debate, welcomes fresh challenges, and keeps customer needs central to decisions. Through the Scribd Flex program, employees enjoy a blend of remote work and intentional in-person gatherings. While most tasks happen remotely, occasional onsite meetings help strengthen collaboration and community ties. Scribd seeks individuals who demonstrate “GRIT”: passion and perseverance in pursuit of long-term goals. This mindset guides how teams set objectives, deliver on commitments, and solve problems together. Developer Tooling Team This group designs and maintains the tools, frameworks, and platforms that support Scribd’s engineers throughout the software development lifecycle. Their work includes updating infrastructure, refining build and deployment processes, and introducing collaborative AI features that enable developers to work with AI agents. These efforts directly improve productivity and enhance the developer experience across the company. Role overview The Staff Software Engineer for the AI Developer Platform plays a key role in shaping how Scribd approaches software development in an AI-first environment. This position sets the technical direction for the agentic engineering platform, guiding hundreds of engineers as they use coding agents to write, review, and deploy code across Scribd’s technology stack. The role also focuses on improving the development environment to enable effective collaboration between AI agents and human engineers. Developing the agentic engineering strategy requires close partnership with senior leadership to ensure alignment with company goals.
Full-time|$140K/yr - $400K/yr|On-site|New York, New York, USA
As an AI Research Engineer at Datadog, you will collaborate closely with our research scientists to transform innovative research concepts into functional systems. You will play a vital role in developing the data, tools, and infrastructure necessary for rapid iteration, thorough evaluation, and seamless transition from prototype to production. Building on our successful history of AI-driven solutions such as Bits AI, Watchdog, and Toto, Datadog AI Research is dedicated to tackling ambitious projects that address real-world challenges in cloud observability and security. Our current research focuses on three key areas: Observability Foundation Models – Creating advanced models for forecasting, anomaly detection, and multi-modal telemetry analysis (including logs, metrics, traces, etc.). These models will serve as the foundation for our agents to analyze telemetry data natively. High-Impact AI Projects – Engaging in projects that push the boundaries of AI applications in observability and security. Collaborative Research – Partnering with cross-functional teams to enhance our AI capabilities.
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We are seeking a talented Senior Platform Engineer to join our dynamic team at Blackbird Labs Inc. in New York. In this pivotal role, you will leverage your expertise in infrastructure and artificial intelligence to build and enhance our platforms, ensuring they are robust, scalable, and efficient.You will work closely with cross-functional teams to architect solutions that drive innovation and enhance performance. This is an excellent opportunity for an experienced engineer looking to make a significant impact in a fast-paced environment.
Full-time|$145K/yr - $200K/yr|On-site|New York Office
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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.
About BasisBasis is a pioneering nonprofit organization dedicated to applied AI research. Our mission is twofold: to deepen our understanding of intelligence and to empower society in solving complex, challenging problems.Our first objective is to comprehend and construct intelligence. This involves establishing foundational mathematical principles for reasoning, learning, decision-making, comprehension, and explanation, while also developing software that embodies these principles.Secondly, we aim to enhance society’s capability to tackle intractable issues. This includes broadening the scope and complexity of problems we can address today and accelerating our future problem-solving abilities.To accomplish these objectives, we are creating a technological infrastructure inspired by human reasoning and fostering a collaborative organization that prioritizes human values.About the RoleAs a Research Scientist, you will spearhead Basis’ initiatives to unravel the conceptual, mathematical, and computational foundations of intelligence. We seek individuals with exceptional technical skills who are eager to explore foundational concepts. Our research scientists and engineers are committed to conducting rigorous, high-quality scientific investigations, while also embracing the opportunity to experiment, learn from errors, and explore innovative ideas.Collaboration is integral to our work, both internally and with external partners. We are searching for individuals who thrive in team settings, tackling challenges that transcend individual capabilities.Key Expectations:Proven ability to conduct high-quality scientific research, demonstrated through publications, technical reports, or software projects.Preferred Qualifications:PhD or equivalent experience in relevant fields such as statistics, programming languages, machine learning, computational neuroscience, cognitive science, physics, or mathematics.Enthusiasm for addressing real-world challenges and contributing to positive societal change.ResponsibilitiesDevelop and investigate computational theories of intelligence, encompassing reasoning, learning, and decision-making.Collaborate closely with domain experts, both within Basis and externally, to contribute to solving scientific problems.
