Remote Dev Jobs
9 jobs available
ToptalRemote8h ago
Headquarters: Remote URL: https://www.toptal.com/ About the Role We're looking for a Technical Project Manager to lead delivery on AI and data product initiatives built on Databricks. This role blends technical project and program management with data product management and change management — you'll drive execution across technical teams while ensuring the organization actually adopts and adapts to what's being built. If you can manage a delivery roadmap and a change curve with equal fluency, this role is built for that. What You'll Do Own technical project and program management for AI and data initiatives, including planning, scheduling, and resource coordination Manage delivery across data and AI workstreams built on Databricks, coordinating cross-functional technical teams Apply data product management principles to help define scope, prioritization, and roadmap for data/AI products Lead change management efforts to drive adoption of new AI-enabled tools, workflows, or data products across the organization Translate business objectives into structured project plans, milestones, and delivery roadmaps Identify and manage project risks, dependencies, and cross-team blockers Facilitate stakeholder communication, including status reporting, roadmap updates, and executive updates Coordinate across engineering, data science, and business stakeholders to maintain alignment on priorities Support governance and structured delivery practices across AI and data programs What You Bring Proven experience in technical project management and/or program management, ideally on AI or data-focused initiatives Working knowledge of artificial intelligence concepts and how AI projects are typically delivered Experience with or strong familiarity with the Databricks platform and data/AI project workflows Experience in data product management, including scoping and prioritizing data-driven initiatives Demonstrated change management experience, driving adoption of new tools, processes,
Ginas Tech Jobs · 🇺🇸 United StatesRemote2w ago
Job Description Staff Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home As the Staff Machine Learning Engineer, you own the execution layer of intelligence. You translate research direction into reliable, scalable, production-grade Machine Learning (ML) systems. This role sits at the intersection of research, infrastructure, and product. You are responsible for making models trainable, deployable, observable, and performant under real-world constraints. This posit…
Ginas Tech Jobs · 🇺🇸 United StatesRemote2w ago
Job Description Principal Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home As a Principal Machine Learning Engineer, you are a deep technical authority responsible for designing and evolving the most critical ML systems in the company. The Principal Machine Learning Engineer will operate across training, inference, evaluation, and infrastructure, solving the hardest architectural and performance problems. While Technical Leads may own execution at the team level,…
Flower Labs GmbH · JobRemote57y ago
Do you want to push the boundaries of what frontier AI models can be? Join as one of the founding members of the Flower Frontier Model Team, a new group at Flower Labs charged with building category-defining models that blend the bleeding-edge in existing practices together with Flower’s pioneering decentralized learning methods . This is a fundamentally different direction than the one vanilla frontier labs are taking, one that not only eases the path to GPU scaling but also unlocks new data silos currently unable to be leveraged for frontier model training. We will ship models with superhuman capabilities in domains spanning science, health, finance, drug discovery, and more. This is an opportunity to help invent and build the training paradigms that will define the next decade of AI, and to work on technologies that others will study, emulate, and build upon. About the Role (Preference given to candidates with post-training expertise. But any talented individual with a track record of exceptional drive and determination are encouraged to apply regardless of prior experience.) As a founding ML Engineer in this new team, you will play a critical role in building SOTA LLMs and foundation models within a small, high-impact team composed of contributors that have a mix of both research and engineering backgrounds. This role combines fast-paced development with disciplined software engineering: you will help build a reliable, maintainable and scalable software stack and use this to produce world-leading models that are open-sourced and integrated into new Flower Lab products. You will design, implement and optimize core components across the full spectrum of stages relevant to frontier model building: data curation, evals, pre-training, post-training — everything is in scope as the team seeks to release its first series of models. Experience in these areas is obviously welcome, but a general expectation of problem solving, learning on the job and working collaborativel
Flower Labs GmbH · JobRemote57y ago
Do you want to push the boundaries of what frontier AI models can be? Join as one of the founding members of the Flower Frontier Model Team, a new group at Flower Labs charged with building category-defining models that blend the bleeding-edge in existing practices together with Flower’s pioneering decentralized learning methods . This is a fundamentally different direction than the one vanilla frontier labs are taking, one that not only eases the path to GPU scaling but also unlocks new data silos currently unable to be leveraged for frontier model training. We will ship models with superhuman capabilities in domains spanning science, health, finance, drug discovery, and more. This is an opportunity to help invent and build the training paradigms that will define the next decade of AI, and to work on technologies that others will study, emulate, and build upon. About the Role (Preference given to candidates with post-training expertise. But any talented individual with a track record of exceptional drive and determination are encouraged to apply regardless of prior experience.) As a founding Research Engineer in this new team, you will play a critical role in building SOTA LLMs and foundation models within a small, high-impact team composed of contributors that have a mix of both research and engineering backgrounds. This role will provide the opportunity to shape every part of the scientific foundation of our frontier models. You’ll be deeply hands-on, turning your best ideas into working systems and collaborating with the team to scale the approaches that prove most effective. The methods you develop will be used to produce world-leading models that are open-sourced and integrated into new Flower Lab products. We expect you to bring to the team creativity, balanced against systematic experiments, and a keen awareness of the latest result from other AI labs. This will feed into how you design and implement techniques and run experiments across the spectrum of stag
Jobgether · 🇩🇪 GermanyRemote57y ago
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Director - Machine Learning based in Germany. This role offers the opportunity to lead advanced AI and machine learning initiatives within a highly innovative engineering environment. You will shape the strategy, development, and implementation of AI-driven solutions designed to transform creative workflows and unlock new possibilities. Working at the intersection of research, engineering, and product innovation, you will guide teams in exploring emerging AI technologies and turning ideas into impactful solutions. The position requires a visionary technical leader who can combine deep machine learning expertise with strong communication and collaboration skills. You will play a key role in defining AI capabilities, establishing best practices, and driving experimentation in a fast-moving, remote-first environment. Accountabilities Lead the research, development, prototyping, and implementation of machine learning solutions to support innovative product experiences. Oversee AI and ML initiatives, including intelligent systems development, workflow optimization, and experimental prototypes. Identify opportunities to integrate generative AI technologies across production processes and translate concepts into actionable strategies. Collaborate with cross-functional teams to gather AI-related needs, prioritize opportunities, and deliver impactful solutions. Explore and develop AI models trained on internal data, including experimentation with local and specialized machine learning systems. Establish guidelines, frameworks, and best practices for agentic AI systems and emerging AI technologies. Educate technical and non-technical stakeholders on AI capabilities, limitations, and practical applications. Monitor advancements in AI research, models, tools, and industry trends to ensure continued innovation and technical excellence. Provide tec
Jobgether · 🇩🇪 GermanyRemote57y ago
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Researcher — AI Architecture Research based in Germany. Join a research-driven team dedicated to advancing the next generation of artificial intelligence through innovative model architecture design. In this role, you'll explore novel approaches to machine learning, bridging cutting-edge theoretical research with practical deployment in production environments. You'll collaborate with experienced researchers and engineers to develop, evaluate, and optimize new AI architectures that push the boundaries of performance, scalability, and efficiency. This is an exciting opportunity for researchers who are passionate about publishing impactful work while seeing their ideas translated into real-world AI systems. If you thrive in a highly technical, fast-paced environment and enjoy tackling fundamental AI challenges, this role offers exceptional scope for innovation and professional growth. Accountabilities Research, design, and evaluate novel AI model architectures beyond traditional Transformer-based approaches. Investigate new techniques to improve model scalability, computational efficiency, training stability, and inference performance. Prototype innovative architectures and validate their effectiveness through rigorous experimentation, benchmarking, and ablation studies. Author and co-author high-quality research papers for leading machine learning conferences, journals, and preprint platforms. Collaborate closely with engineering teams to translate research breakthroughs into production-ready training and inference systems. Monitor emerging advancements in artificial intelligence research and identify promising directions for future innovation. Contribute to defining the long-term research roadmap and influence the evolution of next-generation AI models. Requirements Strong academic or industrial research background in machine learning
Pacemaker · 🇩🇪 GermanyRemote57y ago
DEIN UMFELD UND TEAM Du begeisterst dich für Machine Learning, Software Engineering und den Einsatz von KI für nachhaltige Anwendungsfälle? Dann werde Teil unseres Teams der Sustainability Management Platform und unterstütze uns dabei, Sustainability Manager mit modernen ML- und LLM-basierten Systemen in ihrem Arbeitsalltag zu entlasten. Du wirkst am Aufbau von KI-Komponenten, Datenpipelines und Modellierungslogiken mit, die unseren Kunden dabei helfen, fundierte und nachhaltige Entscheidungen zu treffen. DEIN VERANTWORTUNGSBEREICH Du unterstützt die Entwicklung unserer KI-Systeme (u. a. LLM-basierte Ansätze, Embeddings und Retrieval-Methoden), um Carbon Footprints und weitere Nachhaltigkeitskennzahlen präzise zu berechnen. Du entwickelst und optimierst Python-Code für Datenpipelines, die unsere Emissionsfaktor-Datenbank in bestehende Systeme integrieren. Du arbeitest mit SQL, um Daten zu analysieren, zu validieren und für den Einsatz in Machine-Learning-Modellen aufzubereiten. Du unterstützt bei der Datenmodellierung sowie der Automatisierung von Bilanzierungsmethoden und sorgst dafür, dass diese den aktuellen Standards entsprechen. Du unterstützt unsere Product Owner und das Machine-Learning-Team bei kundenspezifischen Recherchen, Prototypen und Modellierungsaufgaben. DAS BRINGST DU MIT Du bist aktuell in einem Bachelor- oder Masterstudium der Informatik, Data Science, Mathematik, Physik oder eines vergleichbaren Studiengangs eingeschrieben und hast noch mindestens ein Jahr Studienzeit vor dir. Du verfügst über gute Python-Kenntnisse und ein solides Verständnis der Grundlagen des Machine Learnings (z. B. Modelltraining, Evaluation und gängige Algorithmen). Welches Framework du bisher genutzt hast, ist für uns weniger entscheidend als dein grundlegendes Verständnis. Du hast bereits mit Large Language Models (LLMs) gearbeitet oder eigene Projekte umgesetzt (z. B. mit Prompting, RAG-Systemen oder Embeddings) und möchtest dieses Wissen in der Praxis weiter vertiefen.
Eraneos · 🇩🇪 Hamburg, GermanyRemote57y ago
Das findest Du bei uns Wir sind ein technisches, umsetzungsorientiertes Spin-Off einer global agierenden Managementberatung. Zu unseren Kunden gehören primär DAX und Fortune Global 500 Unternehmen, die wir zu Fragen in den Bereichen Analytics, Big Data und Machine Learning beraten. Wir übernehmen in der Gruppe die Entwicklung von individuellen und datengetriebenen Lösungen, um so unsere Kunden in KI-gestützte Unternehmen zu transformieren. Wir bieten ein internationales Arbeitsumfeld mit agilen Teams und kreativen Startup-Methoden sowie eine überdurchschnittliche Vergütung und zahlreiche Zusatzleistungen. Mit unserem HQ in Hamburg und weiteren Büros in München und Düsseldorf sowie unseren Hub-Standorten in allen weiteren deutschen Großstädten (Berlin, Köln, Frankfurt und Stuttgart) stellen wir sicher, dass alle Kollegen deutschlandweit in unser Expertenteam eingebunden sind. Deine Rolle als Senior Manager in Data Analytics: Du entwickelst moderne Analytics-Plattformen. Du entwickelst gemeinsam mit unseren Kunden moderne Analytics- und Datenplattformen als Grundlage für Reporting, Self-Service Analytics und AI. Du konzipierst skalierbare Datenarchitekturen sowie analytische Datenmodelle und sorgst für eine nachhaltige Data Governance. Du begleitest Kunden bei der Modernisierung ihrer Data Warehouses und Data Lakehouses sowie beim Aufbau cloudbasierter Datenplattformen. Du etablierst Best Practices für Analytics Engineering, Datenqualität, Automatisierung und DataOps. Du verbindest Business und Daten. Du analysierst fachliche Anforderungen und übersetzt diese in skalierbare Datenmodelle und Analytics-Lösungen. Du verbindest Management, Fachbereiche und Engineering-Teams und schaffst ein gemeinsames Verständnis für datengetriebene Lösungen. Du entwickelst gemeinsam mit unseren Kunden Datenstrategien und identifizierst Potenziale für Analytics und Artificial Intelligence. Du führst anspruchsvolle Transformationsprojekte. Du verantwortest die erfolgreiche Umsetzung kompl