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.
Build auditable data pipelines for large clinical, diagnostic, and medical imaging datasets in the cloud.
Hostaway is seeking a highly motivated Senior Backend Engineer to join the Core team.
Join our GPU simulation team and build the simulator that trains our reinforcement-learning agents for air autonomy.
As a Senior AI Engineer at Typeform, you will be instrumental in building and evolving the AI capabilities behind Research Flow, alongside o
Wir schreiben dir, sobald eine neue geprüfte Stelle zu Remote dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
Drive Technical Strategy: Define the multi-quarter strategy and architecture for Toloka’s post-training stack, ensuring our fine-tuning, RL,
Who We Are Hi, we re DuckDuckGo, the online protection company and remote-first team of 400+ on a mission to raise the standard of trust online.
Baut und betreibt Python-Backend-Services mit FastAPI, integriert LLMs und entwickelt MCP-Server für externe KI-Agenten, dazu ETL-Pipelines.
Throughput. Latency. Cold starts.
Every request gets a decision: which model serves it.
We’re looking for a Junior Data Scientist to join our tech team and help build the future of neuro-contextual advertising at global scale.
We’re looking for a Senior Agentic Platform Engineer to join our tech team and help build the future of neuro-contextual advertising at global scale.
We’re looking for an Agentic Platform Engineer to join our tech team and help build the future of neuro-contextual advertising at global scale.
We’re looking for an MLOps Engineer to join our tech team and help build the future of neuro-contextual advertising at global scale.
Your Mission This is a company built for growth.
Your Mission This is a company built for growth.
We’re looking for a Senior Software Engineer to join our tech team and help build the future of neuro-contextual advertising at global scale.
Du berätst zu KI-Strategien für den digitalen Arbeitsplatz: Use Cases identifizieren, bewerten und in eine Roadmap überführen Du konzipierst
Virtusan is a Swiss based health coaching platform for sleep, stress and recovery that works with any wearable, including our own smart ring.
Du machst Machine Learning produktionsreif: Du entwickelst skalierbare Daten- und Modell-Pipelines auf AWS und bringst Machine-Learning-Mode
Build the agent runtime. Sandboxed execution, tool orchestration, memory, the closed loop where the agent checks its own work.
German (C1+) and English required You make sure 10+ software companies get real value out of AI.
Analyse und Identifikation von AI-Use-Cases in Kundenumgebungen Bewertung aktueller AI-Technologien und -Plattformen, prüfen von Lösungskonz
ILP aufbauen: Du besprichst mit dem PO die nächsten Schritte der Weiterentwicklung und arbeitest erfolgreich mit den Kollegen am Aufbau der Plattform.
Agentische Systeme bauen: Du entwickelst die Agent-Architektur von paddy weiter.
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
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