MLOps Engineer – Munich (Hybrid) Salary: €100,000 Hybrid: 3 days per week in our Munich office We are seeking an MLOps Engineer to join a pioneering company building technology that makes AI models more efficient, accessible, and sustainable. Our mission is to democratize AI - reducing its environmental impact while empowering people to do more with less. You’ll join a collaborative, research-driven environment where engineers, scientists, and product experts work together to push the boundaries of efficient machine learning. What You’ll DoDevelop and maintain a scalable SaaS cloud platform for model compression and benchmarking.Build and optimize backend services and responsive, user-friendly interfaces.Manage and improve our R&D cluster, including AWS-based compute infrastructure for ML experiments and development.Collaborate closely with ML researchers, engineers, and product teams to ensure seamless workflows and robust system performance.Support the go-to-market team by experimenting with new tools and solutions for the ML community.What We’re Looking ForStrong understanding of machine learning algorithms and MLOps principles.Proficiency in Python, C++, or Java.Experience with infrastructure-as-code tools (Terraform, CloudFormation, etc.).Expertise in cloud platforms and containerization technologies (e.g., Docker, Kubernetes).Experience designing and managing CI/CD pipelines and automated deployments.Strong communication skills and ability to collaborate across teams.A proactive mindset with ownership over projects and results.Bonus PointsExperience with deep learning frameworks (e.g., PyTorch, TensorFlow).Contributions to open-source MLOps or ML infrastructure projects.What We OfferMeaningful work at the intersection of AI and sustainability.Comprehensive benefits, including meal vouchers, wellness programs, mobility support, and a remote work stipend.Collaborative culture built on trust, inclusion, and continuous learning.Transparent and fair hiring process designed to be flexible and accessible to all candidates.Our ValuesDecide Wisely: Data-driven, customer-focused decision-making.Trust by Default: Open communication and mutual respect.Foster Inclusion: A diverse, supportive workplace where everyone belongs.Grow Together: Continuous feedback and shared learning.Learn Relentlessly: Adaptability and curiosity in a fast-moving field.Apply now to help shape a more efficient, sustainable future for AI.

AI/ML Engineer – Berlin (Hybrid) Salary: €70,000–€90,000 + Bonus Hybrid: 3 days per week in our Berlin office We are looking for an AI/ML Engineers to join a fast-growing consultancy at the forefront of applied artificial intelligence. Join a team of 30 engineers and innovators works with NGOs, Mittelstand companies, and scale-ups to create meaningful AI breakthroughs - from fast-paced MVPs to large-scale transformations. What You’ll DoShape and deliver fast-paced AI projects that move from proof-of-concept to production-ready MVPs.Build data pipelines, design and run ML workflows, and develop and deploy scalable web services.Collaborate with clients to integrate solutions into their systems and drive real business impact.Work across diverse sectors — from corporates and scale-ups to NGOs and the public sector.Contribute to a growing, high-impact company and help shape its culture and direction.What We’re Looking ForStrong experience building scalable software systems in a professional setting.Hands-on experience implementing AI/ML solutions in production environments.Solid technical foundation in Python and modern software engineering practices.Ability to deal with ambiguity, find practical solutions, and deliver high-quality results.Strong communication skills and ability to interact with clients in German (B1 level or higher).Ideally, You Also BringExperience with data science tools (e.g. pandas, matplotlib, scikit-learn).Experience working with large language models (OpenAI, Claude, etc.).Knowledge of front-end development and/or Docker.Experience integrating web services with SAP.Willingness to travel to client sites 2–3 times per month.What We OfferOpportunity to do the best work of your career with autonomy and real impact.Challenging and meaningful AI projects with room for growth and experimentation.Professional yet flexible environment built on trust, collaboration, and curiosity.Family-friendly policies, flexible hours, and commitment to diversity and inclusion.Equal opportunities and active support for women in tech through mentorship and leadership programs.

Senior Data Scientist As a Senior Data Scientist, you’ll work at the intersection of advanced sensing, optics, electronics, and computation, pushing the limits of what can be detected and understood. You’ll take ownership of the complete data analysis pipeline for our next-generation microscopy platform: from sensor characterization and noise modelling to algorithm development and physical data interpretation. Your goal is to extract robust insights from complex experimental datasets and turn them into smarter instruments, faster measurements, and tangible value for the semiconductor industry. Your ResponsibilitiesAnalyse large and noisy experimental datasets from high-precision microscopes, design robust algorithms, and extract physics-based insights.Develop and validate advanced signal-processing and statistical-analysis methods that enhance the resolution, speed, and robustness of our sensing platform.Design and interpret experiments involving optics, electronics, and digital systems to identify and mitigate performance bottlenecks.Translate analytical findings into actionable improvements for both hardware and software, working closely with engineering teams to implement them.Mentor junior team members, ensuring best practices in analysis, reproducibility, and documentation.Communicate results clearly to both technical peers and external industry partners.Your ProfilePhD in Physics, Electrical/Optical Engineering, Applied Mathematics, or a related discipline (exceptional MSc candidates with 6+ years of relevant R&D experience welcome).Minimum 4 years of experience applying data science in experimental or instrumentation-driven environments (semiconductors, photonics, imaging, or sensing).Proven expertise in statistical data analysis, experimental design, and advanced signal processing.Track record of developing and deploying algorithms using version control and reproducible workflows.Hands-on mindset and comfort working closely with hardware in the lab.Excellent communication skills; able to turn complex data into clear, actionable insights.(Nice to have) Background in quantum measurement techniques, advanced microscopy, or semiconductor device physics.Our BenefitsCompetitive salary with equity participation30 days of paid vacation plus public holidaysCompany-sponsored Well pass membershipAnnual learning & development budgetRegular team events and off sites

ML & Cloud Infrastructure EngineerLocation: MunichType: HybridSalary: Up to €90,000Join a startup creating a revolutionary 3D AI model. This model will change how industries like robotics, gaming, and AR/VR work with 3D content.Your core job is to design, build, and maintain all the computing systems (infrastructure) that develop and run our AI models.What You Will DoCreate scalable cloud infrastructure for training and running our ML APIs. Deploy and optimize major platforms like AWS, Azure, and GCP. Use Docker, Kubernetes, and Terraform to manage and scale our applications. Optimise storage for the large datasets needed for ML. Respond to cloud incidents, find the root cause, and implement permanent fixes. What You Need (Requirements)3+ years in an ML related cloud role.  Strong proficiency in cloud platforms (AWS, GCP, Azure). Strong proficiency in Docker and Kubernetes. Able to write scripts (Python, Bash, etc.) to automate tasks.

Member of Technical Staff - Pre-Training (Remote US)This is an opportunity to join one of the smartest, most ambitious teams in the AI space. Founded in 2023, this fast-growing research and product company is already being talked about alongside some of the biggest names in foundational model development. They’re building powerful, intelligent agent systems and frontier-scale models - and they believe software engineering is the most direct path toward achieving AGI.With major backing from industry leaders, significant compute infrastructure, and a focus on mission-critical enterprise and public-sector environments, they’re tackling some of the hardest AI challenges out there.The RoleAs a Member of Technical Staff (Pre-Training / Data), you’ll be part of a high-performing Data team inside the Applied Research machinery that powers the company’s pre-training and reinforcement learning breakthroughs. Your goal: build the datasets that make better models possible. This is a hands-on, deeply technical role at the intersection of data engineering, research, and large-scale systems.What You’ll DoBuild, scale, and refine huge datasets made up of natural language and source code to train next-gen language modelsWork closely with pre-training, RL, and infrastructure teams to validate your work through fast feedback loopsStay ahead of the curve on data generation, curation, and pre-training strategiesDevelop systems to ingest, filter, and structure billions of tokens across diverse sourcesDesign controlled experiments that help uncover what works and what doesn’tBe a core voice in shaping how the team approaches data for model training - a vital part of their long-term AGI missionWhat You BringSolid hands-on experience with large language models or large-scale ML systemsStrong track record building or working with massive datasets - from raw extraction through to filtering and packagingExposure to training models from scratch - ideally using distributed GPU clustersProficient in Python and ML frameworks like PyTorch or JAX, plus confidence working in Linux, Git, Docker, and cloud/HPC environmentsGreat if you also have some C++/CUDA, Triton kernels, or GPU debugging backgroundYou’re a thinker and a builder - someone who can read the latest paper and turn it into something real, quicklyWhat’s In It for YouFully remote US37 days of paid time off annuallyComprehensive health cover for you and your dependentsMonthly team meetups - travel, accommodation, and even family attendance coveredHome office and wellbeing budgetA competitive salary plus meaningful equityThe chance to work with some of the brightest minds in AGI and do genuinely original workWhat the Process Looks LikeRecruiter intro callFirst technical interview focused on LLMs, performance, or core engineering skillsSecond technical deep dive into your domain (pre-training, data, scaling, etc.)Culture conversation with the founding engineersFinal discussion on compensation and alignmentIf you’re driven by building systems that could reshape how intelligence works - and you want to be surrounded by people who share that fire - this team is where you belong.

Member of Technical Staff – Frontend (React.js, Next.js)Location: Toronto, Canada (Hybrid)Type: Full-time, Permanent OverviewOur client (Series A, GenAI Content Platform) is hiring a core frontend engineer in Toronto to architect and scale their browser-based animation and video generation interface. You’ll own the React.js / Next.js web app powering AI-driven content creation for a fast-growing global user base. ResponsibilitiesLead frontend feature development using React.js and Next.js (SSR, ISR, SSG).Implement state management patterns (Zustand, Redux, Jotai, etc.).Integrate with REST/GraphQL APIs and real-time ML-driven backend endpoints.Optimise bundle size, rendering, hydration, and caching across devices and network profiles.Build robust testing pipelines (Jest, React Testing Library, Cypress / Playwright).Establish observability for UI performance, error tracking, and release health.Refactor and modularise code for scaling and improved developer experience.Collaborate closely with backend and ML teams on product UX and performance. Requirements5+ years’ professional frontend experience.Expert-level skills in React.js, Next.js, TypeScript, and modern web standards (ES6+, CSS-in-JS, etc.).Track record building and deploying production-grade, customer-facing applications.Strong grasp of rendering lifecycles, VDOM internals, hydration, and frontend performance tuning.Familiarity with edge compute and deployment (Vercel, Cloudflare Workers) and caching (SWR, ISR, CDNs).Bonus: experience with browser media pipelines (Canvas, WebGL, streaming, WebCodecs).Previous start-up or 0-1 product engineering experience preferred.

Member of Technical Staff - Machine Learning Infrastructure/High Performance Inference EngineI’m working with a well-funded AI research company building the technical foundations for a new class of embodied agents and digital humans - systems designed with genuine, human-like qualities that can interact, collaborate, and form real connections with people. Their long-term aim is to scale this work into multi-agent simulations and entire societies of autonomous AI entities.As their Member of Technical Staff (ML Infrastructure), you’d design and scale the platforms that make this possible - from high-performance inference engines to distributed training pipelines and large-scale compute clusters that power intelligent, interactive AI systems. You’d work closely with researchers and product engineers to push the limits of inference performance, strengthen the foundations for agentic AI, and evolve the next generation of training and post-training pipelines.Responsibilities:Accelerate research velocity by enabling SOTA experimentation from day one.Build and optimize the full model training pipeline, including data collection, data loading, SFT, and RL.Design and optimize a high-performance inference platform leveraging both open-source and proprietary engines.Develop and scale technologies for large-scale cluster scheduling, distributed training, and high-performance AI networking.Drive engineering excellence across observability, reliability, and infrastructure performance.Partner with research and product teams to turn cutting-edge ideas into robust, production-ready systems.Qualifications:Expertise in one or more of: inference engines, GPU optimization, cluster scheduling, or cloud-native infrastructure.Proficiency with modern ML frameworks such as PyTorch, vLLM, Verl, or similar.Experience building scalable, high-performance systems used in production.Start-up mindset - adaptable, fast-moving, and high-ownership.Why This Opportunity Stands Out:Elite founding team: Engineers and researchers from MIT, Stanford, Google X, Citadel, and top AI labs.Strong funding and backing: Over $40M raised from Prosus, First Spark Ventures, Patron, and notable investors including Patrick Collison and Eric Schmidt.Serious traction: Their flagship AI companion product has already achieved significant user growth and is generating real revenue.Impact and autonomy: A flat, fast-moving environment where you’ll own critical systems and ship meaningful work within weeks.Longevity in vision: This company is not chasing quick exits - they’re deliberately building what they believe will be a historical company, with long-lasting influence on how humans and AI interact.

Senior AI Engineer (Contract – 3 Months, Remote, Start Mid-November) I’m looking for a Senior AI Engineer to join a fast-moving consulting team working on next-gen LLM applications for enterprise clients. This is a 3-month contract starting mid-November, ideal for someone who enjoys building hands-on with cutting-edge AI tools and shipping real products quickly. What you’ll do:Build and optimize AI features powered by LLMs (OpenAI models).Design and connect workflows using LangGraph and MCP.Implement robust tracking and observability with Langfuse.Collaborate closely with cross-functional teams, with clear communication is key.(Bonus) Help define and run evals to measure model quality and performance.What we’re looking for:Strong experience building with LLMs (prompting, integration, and orchestration).Hands-on experience with MCP.Great communicator who can bridge technical and non-technical discussions.(Nice to have) Experience with evals, RAG, or LLM agent frameworks.Tech stack: - Python- Langfuse- LangGraph- OpenAI models. Details:Start: Mid-NovemberDuration: 3 monthsLocation: Remote (EU-friendly timezone is a must)