The Application Modernization Platform (AMP) team is addressing one of the most significant challenges in the tech industry: utilizing Generative AI to convert outdated, legacy applications into modern, microservices-driven architectures that harness the power of MongoDB. A primary obstacle in transforming legacy code is ensuring that the new application's business logic remains equivalent, allowing it to function seamlessly and efficiently within reliable and scalable MongoDB data ecosystems. The success of this initiative heavily depends on the essential tools crafted by the CodeGen team. We are seeking a highly skilled Senior Lead Software Engineer with a robust background in database ecosystems, capable of reshaping complex, large-scale services while demonstrating strong team leadership. In this role, you will guide a talented team in developing a sophisticated product suite that leverages GenAI capabilities. The perfect candidate will be a hands-on technical leader, able to influence architectural decisions, mentor engineers, and work closely with product management to develop solutions that address our customers' most intricate application transformation challenges. This position is based in the West Coast of North America and supports a hybrid working model.

At code-metal, we are on a mission to revolutionize hardware deployment by matching the rapid pace of software development. Our innovative work focuses on automatic code transpilation and optimization for diverse hardware applications.As an AI Research Engineer, you will work alongside a dynamic team of researchers, tackling groundbreaking projects in generative AI and reinforcement learning.Core Responsibilities:Independently design, execute, and analyze complex experiments.Contribute to the development of core models and frameworks.Generate high-quality datasets, both real-world and synthetic.Conduct literature reviews and implement cutting-edge techniques from research papers.Engage in the publication process and present findings at conferences and workshops.Research Areas of Interest:Our current and near-term research focuses include:Contrastive representation learningSteerability and guided decodingTractable probability modelsCode-specific architecturesLLM fine-tuning, post-training, RLHF

Join Code Metal AI's elite team, comprised of talents from MIT, OpenAI, and other esteemed organizations, as we lead the charge in pioneering large language models (LLMs) and advanced code generation techniques. Our innovative projects engage with top-tier chip manufacturers, leveraging cutting-edge AI to tackle significant, real-world challenges.This position serves as a critical link between two essential domains:Production Responsibilities:Establish and uphold resilient distributed training systems utilizing PyTorch (2+ years of experience required).Design and execute scalable data curation and quality assurance pipelines to ensure high-quality training datasets.Create orchestration tools that streamline complex workflows for large-scale AI model training and evaluation.Research Responsibilities:Lead the innovation in developing evaluation frameworks and reinforcement learning solutions, emphasizing recent advancements in Reinforcement Learning with Human Feedback (RLHF).Engage with cutting-edge research through open-source contributions and potential publications, focusing on applying RLHF to LLMs, particularly in code generation tasks.Qualifications:Minimum of 2 years of experience in distributed training, preferably using PyTorch.Strong foundation in reinforcement learning, with recent RLHF experience being highly preferred.Demonstrated ability to construct data curation and quality assurance pipelines.Experience in developing evaluation frameworks.Ideally, familiarity with both data pipeline and orchestration aspects.Eligibility for TS/SCI clearance.Preferred Qualifications:Contributions to open-source AI or ML initiatives.Published research or experience in relevant fields.Hands-on experience implementing RLHF to LLMs, especially for code generation.Experience in large-scale synthetic data generation.Benefits:Comprehensive healthcare plan with 100% premium coverage, including medical, dental, and vision.401k plan with 5% matching contribution.Unlimited Paid Time Off, along with Sick leave and Public Holidays.Flexible hybrid work arrangement.Relocation assistance for eligible employees.

OverviewJoin our dynamic team at code-metal as a Senior Field-Applications Engineer, where you will be at the forefront of deploying cutting-edge AI-driven code translation tools. This exciting opportunity allows you to work remotely from anywhere in the United States while helping our clients leverage modern verification techniques.In this pivotal role, you will be responsible for integrating innovative code generation pipelines that utilize a blend of Generative AI and Static Analysis within secure customer environments. Occasional travel to customer sites may be required for on-premises deployment and troubleshooting.ResponsibilitiesFacilitate the deployment and management of containerized services using Docker.Implement and operate Python-based Generative AI pipelines that interact with locally deployed Large Language Models.Deploy Large Language Models and inference endpoints in secure networks.Empower customers to seamlessly utilize the translation pipeline for their code-generation workflows, including translating C++ to Rust.Diagnose local issues, generating summaries for the engineering team to assist with remote debugging.

Join Scale AI's rapidly expanding Generative AI division as a Strategic Projects Lead (SPL). In this pivotal role, you will spearhead initiatives poised to generate over $XXM in new revenue. As an SPL, expect a dynamic environment where you will engage in diverse operational dimensions, showcasing your entrepreneurial spirit while navigating complex challenges. This is an opportunity to undertake impactful work that accelerates your career progression.Your Responsibilities:Take full ownership of high-impact customer pipelines, influencing data quality, operational efficiency, revenue, and profit margins.Analyze customer requirements and design optimal data taxonomies tailored for enhanced model performance.Develop pipeline infrastructure to ensure operational excellence.Lead, mentor, and manage diverse global teams.Create analytics frameworks for data-driven decision-making.Collaborate with cross-functional teams (Engineering, Product, Operations, and Go-to-Market) to tackle challenges that drive advancements for the world's leading LLMs.Provide regular updates to Scale's executive leadership.Your Qualifications:A robust technical background is essential, preferably with a degree in Machine Learning Engineering, Computer Science, or Software Engineering. Proficiency in data analytics using SQL and Python, coupled with a deep understanding of Software Engineering processes, is required.3+ years of experience in leading teams/projects and managing operational processes, or equivalent experience as a Software Engineer.Exceptional problem-solving skills in technical environments, with the ability to devise innovative solutions for complex operational and technical challenges.Entrepreneurial mindset with a passion for building solutions from the ground up, demonstrating agility in identifying and addressing issues.

AI Trainer: Code Generation SpecialistOverviewJoin our dynamic team at embedding-vc, where we are dedicated to advancing the capabilities of large language models in understanding and generating real-world code. Our focus lies in evaluating and enhancing multi-step reasoning pathways derived from actual GitHub repositories, with the aim of delivering high-quality and reliable code generation outputs.This long-term initiative requires engineers who possess strong engineering judgment and a deep understanding of complex coding environments. You will engage with intricate code paths and reasoning flows across various platforms.Your ResponsibilitiesAs an AI Trainer, you will assess and enhance multi-step reasoning trajectories generated from live production repositories. Your key tasks will include:Reviewing and analyzing model-generated reasoning sequencesIdentifying logical inconsistencies or weak reasoning stepsImproving trajectory structures to yield robust, production-grade outputsEvaluating reasoning quality across diverse programming environmentsThis role is more aligned with debugging model logic and reasoning systems than traditional annotation tasks.Qualifications We SeekWe are in search of engineers with extensive hands-on development experience and a robust familiarity with real codebases. Ideal candidates will:Be proficient in at least two mainstream programming languages, such as Python, C++, Java, TypeScript, or JavaScriptHave practical development experience in areas including backend systems, frontend applications, algorithms, testing, and infrastructureBe adept at navigating and reasoning through large GitHub repositoriesPossess strong written communication skillsExperience contributing to highly visible or popular GitHub repositories is a significant advantage.Additional InformationWe plan to onboard approximately 10 to 20 engineers for this ongoing initiative. A brief qualification exercise may be required prior to joining.

Job TitleLead Principal Software Engineer - Python AI PipelinesOverviewJoin our innovative team at code-metal, where we are pioneering the next generation of transpilation tools powered by artificial intelligence and cutting-edge verification techniques. Our mission is to seamlessly connect the realms of algorithm development and deployment for embedded systems.In this pivotal role, you will be at the forefront of designing and implementing advanced code generation pipelines. Our methodologies incorporate a blend of Generative AI, Static Analysis, and Formal Verification to facilitate the translation of code from one programming language to another.

Join Box as an AI EvangelistAt Box (NYSE:BOX), we are at the forefront of Intelligent Content Management. Our innovative platform empowers organizations to enhance collaboration, manage the content lifecycle, secure essential information, and redefine business workflows through enterprise AI. Established in 2005 and headquartered in Redwood City, CA, we serve leading global enterprises such as JLL, Morgan Stanley, and Nationwide.By joining our team, you will play a pivotal role in advancing our platform. Content is the backbone of modern work, encompassing contracts, invoices, employee records, financial data, product specifications, marketing content, and much more. Our mission is to infuse intelligence into content management and enable our customers to radically transform their workflows. With the integration of AI and enterprise content, the potential for innovation has never been greater, and you will be at the forefront of this evolution.Why We Need YouIn the rapidly evolving realm of AI, new models and capabilities are released weekly. We seek an individual who can stay ahead of the curve, understand the implications for knowledge workers, and respond promptly. As a member of Box's content marketing team, your primary responsibility will be to create concise video content that demonstrates how knowledge workers can leverage the latest AI tools to enhance their productivity. You will connect these tools with Box's platform, clearly illustrating new releases and their applications.As our AI Evangelist, you will be immersed in every AI launch—downloading every new tool, rigorously testing capabilities, and producing quick, authoritative videos that showcase how these innovations can transform enterprise workflows, primarily through Box. This role prioritizes authenticity, deep AI knowledge, and rapid delivery over production polish.

About Stack AIStack AI is an innovative no-code platform that empowers users to design, test, and deploy AI workflows using large language models. Our intuitive drag-and-drop interface enables teams to seamlessly connect data sources with AI models, facilitating the development of production-grade applications such as chatbots, document processing pipelines, and database Q&A tools, all without the need for coding.As we transition from thousands to millions of users, we require a dedicated technical leader to enhance our backend systems. This is where you come into play.The RoleWe are in search of a Staff Backend Engineer to take ownership of our platform's core infrastructure. In this pivotal technical leadership role, you will influence our architectural framework, define engineering standards, and make key infrastructure decisions that will shape the scalability of Stack AI.You will collaborate directly with our founders and product leaders, navigating the balance between speed and sustainability within our fast-paced startup environment, where your contributions will have a significant impact on the entire product.What You'll DoDesign and scale core systems — Architect, develop, and manage the backend services that drive our no-code AI platform, encompassing everything from the API layer to the data pipeline.Lead identity and authentication infrastructure — Oversee our SSO, SAML, and OIDC integrations, ensuring our authentication framework meets enterprise-level standards and scales with our growing customer base.Establish technical direction — Set forth design patterns, service boundaries, data modeling strategies, and long-term infrastructure plans.Mentor and uplift the team — Enhance team performance through design reviews, collaborative coding sessions, knowledge sharing, and the establishment of best practices throughout backend engineering.Enhance reliability and observability — Proactively identify performance bottlenecks, optimize efficiency, and advance our infrastructure to prevent issues before they escalate.What We're Looking ForRequired Qualifications6+ years of backend engineering experience, demonstrating a history of operating at the Staff level or serving as a technical lead on complex, production systems.Extensive knowledge of SSO, SAML, and OIDC — with hands-on experience in building or managing identity and authentication systems.Comprehensive understanding of identity provider (IdP) architecture and enterprise authentication methodologies.

Join Code Metal, where we are at the forefront of developing innovative AI-powered transpilation tools that seamlessly connect algorithm development with deployment for embedded systems. As a Senior Software Engineer specializing in Agentic AI, you will be instrumental in designing and executing sophisticated code generation pipelines that incorporate Generative AI, Static Analysis, and Formal Verification methodologies. This role provides a unique opportunity to influence the evolution of automated, AI-driven software translation for critical applications.Architect and implement intricate workflows utilizing state machines, message queues, and distributed processing.Leverage Docker and related technologies to maintain dependable and reproducible environments.Develop robust, modular codebases for code translation products that are thoroughly tested.Collaborate with domain experts to integrate verification techniques into AI-enabled code generation processes.Guarantee high availability and scalability of AI services through cloud platforms and distributed system architectures.

About AnthropicAnthropic is dedicated to developing reliable, interpretable, and steerable AI systems aimed at ensuring AI is both safe and beneficial for users and society. Our rapidly expanding team consists of passionate researchers, engineers, policy experts, and business leaders who collaborate to create advantageous AI systems.About the Role:As a Claude Evangelist, you will be the primary representative of Anthropic within the startup ecosystem, fostering awareness and engagement among founders and their technical teams. Your primary goal is to energize the startup developer community, encouraging builders to actively engage with and develop on the Claude Developer Platform.This position operates at the crossroads of startup ecosystem development and direct technical engagement. Your main responsibility is to drive adoption throughout the startup pipeline, transforming ecosystem interactions into active developers who are building on Anthropic's platform. You will collaborate closely with the Startups GTM team to convert relationships with VCs, accelerators, and founder communities into engaged developers.

Join Cyara, the global frontrunner in AI-driven customer experience assurance, dedicated to eliminating poor customer experiences. Our unique platform enables ongoing testing and monitoring across various channels—voice, digital, messaging, and conversational AI—empowering leading brands to optimize over 350 million customer journeys annually. As enterprises increasingly integrate adaptive AI systems that learn and make autonomous decisions in real time, Cyara provides a critical assurance layer, transforming pilot projects into full-production deployments by testing AI agents with AI agents to uncover potential flaws that scripted tests might miss. From comprehensive journey visibility to AI governance, trust validation, and compliance, Cyara guarantees impeccable touchpoints and effective AI interactions that resolve customer issues while delighting them. We enable businesses to deliver secure, seamless, and high-quality customer experiences at scale. Interested in learning more? Visit us at: www.cyara.com

Join our innovative team at Datadog, where we are developing cutting-edge AI-driven tools designed to enhance the productivity of our developers. Our mission is to autonomously generate tests, resolve bugs, and optimize performance, enabling our users to excel in their roles.We are seeking a versatile, product-focused engineer who can help us swiftly define, build, and deliver features that transform our Datadog customers into exceptionally efficient developers.At Datadog, we cherish our office culture, which fosters collaboration, creativity, and strong relationships. Our hybrid workplace model ensures that our team members can achieve a work-life balance tailored to their needs.

Join Lemurian Labs on our ambitious mission to harness the potential of artificial intelligence while minimizing our ecological impact. Our commitment to responsible innovation drives us to create sustainable AI solutions that benefit society and the environment alike. After all, innovation should empower the world, not compromise it.We are developing a cutting-edge, high-performance compiler that enables developers to 'build once, deploy anywhere.' This means seamless cross-platform compatibility, allowing you to train your models in the cloud and deploy them at the edge—all while ensuring optimal resource efficiency and scalability.If you are passionate about scaling AI sustainably and making AI development both powerful and accessible, we invite you to be a part of our team at Lemurian Labs. Collaborate with us as we build the future responsibly and innovatively.

Welcome to Moonlake, where we leverage AI to craft immersive world simulations.Mission: Join us as an Applied AI Research Engineer focused on designing and coding intelligent agents (post-training and systems).Scope of Work:Design agentic systems: Develop tool catalogs, function calls, program synthesis, repair loops, and control mechanisms such as ReAct, Reflexion, ToT, and LangGraph, along with self-verification and sandboxed execution.Evaluation mindset: Create comprehensive task suites for multi-step coding, including full-stack LLM engineering, prompt libraries, routing, retrieval, KV-cache management, streaming, and telemetry.Security and isolation: Implement Docker/firejail, manage network egress controls, maintain secrets hygiene, and ensure dependency pinning for supply-chain integrity.Strong post-training capabilities: Conduct supervised fine-tuning, preference and trace reinforcement learning (DPO/RLAIF/RLHF), dataset curation, reward shaping, and safety filtering.Technical Signals:Experience shipping agents that successfully navigate real repository test suites from start to finish.Published research in the fields of agentic systems and code generation, contributing to frameworks or open-source evaluations such as LangGraph, AutoGen, Guidance, LEAP, and SWE-bench variants.Developed datasets from execution traces, demonstrating significant enhancements from data over parameters.We are committed to maintaining an on-site, collaborative team environment based in San Mateo.

Correlation One is at the forefront of developing workforce skills for the AI-driven economy. We collaborate with enterprises and government entities to cultivate talent and bridge critical gaps in data, digital, and technological skills. Our global initiatives include training programs and data competitions that also empower underrepresented communities, facilitating career acceleration. Our mission is to ensure equitable access to the data-centric jobs of tomorrow. We work alongside leading employers and government institutions such as Amazon, Coca-Cola, Johnson & Johnson, the U.S. State Department, and the U.S. Department of Defense to turn this vision into reality. All of our skill development programs are completely free for participants and are conducted online by industry professionals, thereby reducing traditional barriers to career advancement. We are dedicated to fostering supportive, human-centered group learning environments that enhance technical skills and build confidence among learners. Join us in shaping the AI Economy!

Superside is seeking a talented Lead Creative passionate about Generative AI to drive creative excellence in branding, landing pages, advertisements, social media, print, and presentations. You will lead a global team of exceptional creatives, blending strategic oversight with hands-on artistry to produce impactful, human-centered work for prominent brands around the globe.This role is positioned at the convergence of creativity and innovation, enhancing creative quality while advancing our capabilities through the strategic application of AI tools. You will serve as both a mentor and a creator, promoting collaboration, empathy, and clarity in every project. Your leadership will be characterized by curiosity, composure, and humility, enabling others to thrive while consistently delivering exceptional creative outcomes.

At Hugging Face, we are dedicated to making AI accessible to everyone. We have developed the fastest-growing platform for AI creators, boasting over 11 million users who have collectively contributed more than 2 million models, 700,000 datasets, and 600,000 applications. Our open-source libraries have gained over 600,000 stars on GitHub.About the RoleAs a Cloud Machine Learning Evangelist, you will play a pivotal role in enhancing the influence of the Hugging Face ML Cloud team. Your mission is to educate machine learning practitioners on how they can optimize their training and inference workloads.The Hugging Face ML Cloud team collaborates strategically with leading cloud providers (AWS, GCP, Azure, Cloudflare), AI accelerators (including NVIDIA, AMD, Intel, Gaudi, Inferentia, TPU), and system integrators (Dell, Nutanix) to facilitate the use of Hugging Face models and libraries across these platforms.These partnerships are essential to our strategy as an open platform (ensuring no customer lock-in) and our monetization approach to enhance usage and revenue for our partners through commercial collaborations and product extensions.This role is distinct from marketing or business development; your focus will be on increasing visibility and usage of integrations with strategic partners through various activities such as:Writing technical blog postsEnhancing documentation and providing code examplesPresenting to both business and technical audiences at partner conferencesEngaging in or facilitating webinarsCreating and promoting demosLeading go-to-market discussions with strategic partnersYou will be at the cutting edge of Generative AI, exploring practical applications with open-source technologies. This role offers significant autonomy and creative freedom, aiming for a tenfold impact compared to similar positions in large tech companies.About YouYou are enthusiastic about ML Engineering, developing actionable AI applications, and optimizing them for the cloud. Your passion for learning new engineering concepts and technologies is evident, and you enjoy discussing these topics with peers. You value a positive Developer Experience and take pride in writing easily comprehensible code.Excellent communication skills are vital, and you are comfortable speaking publicly to technical audiences. You engage positively with the ML community, and existing involvement in platforms such as GitHub, LinkedIn, Twitter, Reddit, or other educational channels is expected. Experience in Open Source development will be advantageous.More about Hugging FaceWe are actively working to create a culture that values diversity, equity, and inclusion.We are committed to building a team that reflects a variety of backgrounds and perspectives, fostering a collaborative atmosphere where all voices are heard.

Are you a coding aficionado looking to influence the evolution of AI? As large-scale language models transition from basic chatbots to robust tools for software development, automation, and technical education, your role becomes pivotal. By providing high-quality training data, we can empower AI to democratize programming knowledge, adapt to emerging technologies, and enhance workflows for developers globally. Your expertise is the key to unlocking the next generation of AI. We seek coding specialists who are passionate about computer science, software engineering, data structures, algorithms, databases, systems programming, and web development. You will engage with advanced language models on subjects such as object-oriented programming, version control with Git, RESTful API design, debugging techniques, data pipeline construction, and secure coding practices—carefully documenting all failure modes to strengthen model reasoning. On a typical day, you will interact with the model on practical coding scenarios and theoretical computer science questions, assess factual accuracy and logical coherence, capture reproducible error traces, and propose enhancements to our prompt engineering and evaluation metrics. A bachelor's, master's, or PhD in computer science or a related technical field is preferred; professional software development experience, contributions to open-source projects, technical blog writing, or achievements in programming competitions would be advantageous. Effective metacognitive communication—demonstrating your thought process—is essential. Ready to transform your coding skills into the foundational knowledge for tomorrow's AI? Apply now and help train the model that will educate the world.