Senior Backend Engineer: Machine Learning Infrastructure
Baut und betreibt hochlastfähige Backend-Services für ML-Infrastruktur, inklusive Model Serving (auch LLMs) und Datenpipelines für Produktteams.
Baut und betreibt hochlastfähige Backend-Services für ML-Infrastruktur, inklusive Model Serving (auch LLMs) und Datenpipelines für Produktteams.
Work in the Audio Machine Learning team of Sonos Voice Control, together with a group of experienced machine learning engineers and research
Drive applied research and technical direction across retrieval and ranking systems - Design and evolve multi-stage retrieval architectures
Huawei s Heisenberg Research Center in Munich is responsible for advanced technology research, architectural development, design and strateg
About ICIS ICIS is part of Lexis Nexis Risk a FTSE 20 company with revenues of $12.9 billion in 2025 and an employee base of over 30,000 peo
Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
work as part of our Outbound Data Science team to further optimize our innovative product based on machine learning and artificial intellige
Gestaltet und baut agentische KI-Funktionen für Handwerker mit, führt Architektur-Entscheidungen durch und prägt KI-gestützte Engineering-Praktiken.
SYSTEM DESIGN & ARCHITECTURE MANAGEMENT As Data & AI Platform Architect, you’ll lead the architecture, design, and implementation of scalabl
Role highlights: - Role: Forward Deployed AI Engineer - Department: Forward Deployed Engineering - Location: Germany - Reports to: VP, Forwa
Join our GPU simulation team and build the simulator that trains our reinforcement-learning agents for air autonomy.
We are aiming to hire someone in the the UK, Czechia or Italy.
/Preferred Qualifications Ready to Make an Impact?
/Preferred Qualifications Your impact: - Architect and implement agentic AI solutions for semiconductor applications - Develop multi-agent s
ClickHouse welcomed Langfuse, the leading open-source platform for tracing, evaluation, and observability, to strengthen its position in the
As a Forward-Deployed Engineer, you’ll own the end-to-end delivery of technically sound, low-code AI solutions for Aircall customers.
& THE TEAM The Partner Tech Applied Science team acts as the engine behind Zalando’s growth, partnering with Zalando Partners as well as int
Build and Ship AI Agents - Design and build agents that automate complex finance workflows.
Design and ship innovative UX patterns for conversational interfaces and AI-driven experiences on iOS - Architect and build Swift-first, pro
Steuert Lieferprogramme für Trainingsdaten (Text, Bild, Video, Audio) für KI-Labore und baut QC-Prozesse mit Human-in-the-Loop auf.
Mistral is looking for an AI Scientist with deep machine learning expertise and hands-on CAD experience to expand what our agentic tools can
Erforscht und trainiert Foundation-Modelle für Physiksimulation, kuratiert Simulationsdatensätze und bewertet Modelle gegen Ingenieurs-Validierungsstandards.
Bringt jedes TabPFN-Modell-Release über SAP, Cloud-Marketplaces und Kundenumgebungen live und koordiniert dafür Engineering und Partnerteams.
NVIDIA’s Worldwide Field Operations (WWFO) team is looking for a Solution Architect with expertise in Physical AI, Agentic AI, Data Science
Are you looking to have an impact on the daily life of millions of entrepreneurs in France (and tomorrow in Europe)?
Warum dieser Job gelistet ist
Ohne KI-Erwähnungen fehlt die Kernaufgabe: Das Arbeitsergebnis ist ML-Infrastruktur für Modell-Serving und ML-Pipelines, also der Betrieb von Machine Learning.. Prüfverfahren ansehen
The ML Infrastructure team builds and operates the shared backend services and platform capabilities that Constructor s ML and product teams rely on to develop, deploy, and run machine learning at scale - from model serving (including LLMs) to the specialized storages and data pipelines behind it. We are a service team by nature: our roadmap is shaped by the needs of product teams, and we succeed when they can move faster with less friction. We re looking for a Senior Backend Engineer who is comfortable with, and motivated by this dynamic, and who will take end-to-end ownership of core services.
In the near and mid-term, our focus areas include: - Making ML workloads easy to run, scale, and operate for every team - Providing self-service, configurable infrastructure components to ML and product teams - Owning and evolving core ML services and related pipelines with a high bar for reliability and performance Challenges you will tackle - Design, build, and operate high-load distributed backend services that power the company s ML infrastructure - Take end-to-end ownership of core ML services and related data pipelines: from design and implementation to deployment, observability, and continuous improvement - Partner with ML and product teams to understand their needs and turn them into reliable, reusable platform capabilities - Make and defend technical decisions: evaluate trade-offs, design first, and own the outcome - Be responsible for what you and your team do
5+ years of professional experience in backend or platform engineering - Extensive Python knowledge (our primary language) - Hands-on experience developing on a public cloud (AWS, GCP, or Azure) or with self-managed Kubernetes - AWS is our primary platform, but we re not limited to it - Experience designing and building distributed, high-load services and APIs - Strong knowledge of data structures, algorithms, and their trade-offs - Design-driven engineering mindset: we re a coding-assistant-friendly environment and expect you to use modern AI tools - but you lead with system design and a strong understanding of their applicability and trade-offs - Ownership and proactivity: you can t close your eyes to problems, but are ready to solve them and take responsibility for outcomes - You are friendly and willing to help your teammates & others
: - Experience with Rust (or C/C++/Go) - a strong plus - Experience developing or contributing to ML platforms or ML infrastructure - a strong plus - Experience setting up and operating any vector database (Qdrant, Milvus, Weaviate, OpenSearch, pgvector, etc.) - a strong plus - Experience with model serving / inference infrastructure, including LLMs - Experience with Infrastructure as Code (Terraform or similar)
- ️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year - Fully remote team - choose where you live - ️ Work from home stipend! We want you to have the resources you need to set up your home office - Apple laptops provided for new employees - Training and development budget for every employee, refreshed each year - Maternity & Paternity leave for qualified employees - Work with smart people who will help you grow and make a meaningful impact - Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results - Stock options - offered in addition to the base salary - Regular team offsites to connect and collaborate Diversity, Equity, and Inclusion at Constructor At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice. After that period your data will be deleted or anonymized.
Launched in 2019, Constructor is an AI-first e-commerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains. About
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur Originalanzeige