Technical Staff Member – MLOps / AI Infrastructure

About GenPeach AIGenPeach AI stands at the forefront of innovation, transforming how individuals create and engage with AI-driven technology. Our product-focused research lab is dedicated to developing advanced multimodal AI that resonates emotionally with users.We specialize in constructing vertical foundation models that generate hyper-realistic representations of humans in both image and video formats. Our technological framework includes utilizing vast proprietary datasets, formulating cutting-edge model architectures, and training these models effectively on substantial GPU clusters, all while seamlessly integrating them into user-facing products.With our focus on training and deploying large-scale models, we bridge the gap between research-grade AI and production-quality systems engineering, ensuring our solutions are not just theoretical but are actively contributing to real-world applications.About the RoleWe are searching for a Member of Technical Staff (MTS) who will take ownership of and enhance the AI infrastructure that supports both our research and production systems.This pivotal infrastructure role offers significant ownership and a direct impact on model training, inference performance, and developer productivity.In this role, you willLead the AI execution and infrastructure layer utilized by our research and product teams.Design and develop high-performance Python systems for:Scalable model inferenceTraining orchestrationLarge-scale data processingCollaborate closely with research and backend engineers to implement models and expose them through APIs.Design and manage distributed pipelines and task queues for both batch and streaming workloads.Enhance GPU inference for latency, throughput, and cost efficiency.Oversee the MLOps lifecycle, including model deployment, versioning, monitoring, and alerting.Build and sustain CI/CD pipelines for services and ML workflows.Identify and resolve performance bottlenecks across Python, GPUs, networking, and storage.Contribute to the architectural design and long-term infrastructure decisions.Minimum Qualifications5+ years of professional experience in software engineering with a focus on Python.Extensive knowledge of Python, including asynchronous programming, multiprocessing, concurrency, performance profiling, and optimization techniques.

About GenPeach AIGenPeach AI is an innovative research lab focused on developing cutting-edge multimodal foundation models aimed at hyper-realistic human generation in both image and video formats. Our mission is to cultivate tools that enhance human creativity rather than replace it.We specialize in training models from the ground up, leveraging proprietary datasets at a massive scale, pioneering architectures, and custom training methodologies. We utilize extensive GPU clusters and ensure swift product integration so that our research reaches users quickly.Our technical team, consisting of around 10 experts, is guided by Directors from Google DeepMind and supported by premier AI-focused funds and influential angel investors from OpenAI, Meta AI, Microsoft AI, Project Prometheus, and Fal. Together, our team, advisors, and investors have contributed to significant models such as Meta’s Imagine/MovieGen and foundational model work that supports OpenAI’s Sora, as well as Google’s Veo and Gemini.About the RoleWe are seeking a distinguished AI Research Scientist to spearhead the next evolution of GenPeach AI foundation models. This role is categorized as a Leadership Individual Contributor, where you will influence research direction through practical experimentation, guide technical strategy across the entire stack, and mentor a select group of researchers while collaborating closely with the founding team.This position transcends mere fine-tuning of existing models; it involves constructing new capabilities through innovative architecture work, training systems, and post-training methodologies—culminating in their deployment into a production environment.Key ResponsibilitiesCollaborate in designing and training large-scale diffusion models for advanced image and video generation.Develop and refine training recipes (including pretraining, post-training, control, and preference tuning) to unlock enhanced model functionalities.Conduct rigorous ablation studies: discern effective strategies, understand their mechanisms, and communicate findings clearly to guide roadmap decisions.Evaluate speed/quality/cost trade-offs and make informed technical decisions that significantly impact training efficiency and production quality.Contribute to dataset strategy: focus on curation signals, filtering, evaluations, and feedback loops from product performance.Work in tandem with engineering and product teams to transition research into production (addressing serving constraints, stability, monitoring, and rapid iteration).Guide and elevate the skills of a small team of researchers through code reviews and maintaining research standards.

Become a Key Player at blp – The Leading Solution for ERP AutomationAt blp, an innovative spin-off from ETH and HSG, we are revolutionizing ERP automation through AI technology. Our mission is to tackle significant enterprise challenges with state-of-the-art solutions and a dedicated approach. With our product already in operation in over 40 countries and utilized by more than 20,000 daily active users, we automate over 70,000 processes each day.Our AI-powered ERP automation is reshaping sectors like finance, procurement, logistics, and sales. As one of Switzerland’s most rapidly expanding SaaS companies, we take pride in being self-financed and fully employee-owned.Our growth is fueled by profound technological and business process expertise, allowing us to deliver an exceptional product that resonates with our clients, including Fortune 500 companies.Recognized with the LinkedIn Top Startup Award, our journey has just begun. Our headquarters are located on Zurich's prestigious Bahnhofstrasse, a perfect setting for a company that is redefining business operations.Are you ready to shape the future? Join blp today.We are in search of a Chief of Staff to the Founder / CTO who will be instrumental in scaling our dynamic enterprise SaaS organization at the forefront of ERP automation, AI agents, and large-scale enterprise software.This is a unique opportunity for an individual with both strong technical acumen and strategic business insight. You will delve deeply into various functions of the organization, identify excellence benchmarks, and assist in developing the processes, systems, and AI agents necessary to achieve these standards. Working closely with the Founder (who also serves as CTO, CPO, and CIO), you will engage in engineering, product development, AI, and overarching company initiatives.This position transcends mere coordination; it is a builder, operator, and strategist role, perfectly suited for someone aspiring to become a Founder, CTO, or VP of Engineering.Key Responsibilities:Design and scale the engineering organization: structure, hiring, processesEnsure alignment of technical initiatives across engineering, product, and AI teamsOversee cross-team programs (e.g., PLG platform, internal AI tools, developer productivity)Establish new teams from the ground up and transition them to long-term managementEliminate management bottlenecks and propel execution on primary company goalsRequirements:Degree in Computer Science or a related field

About Flexion Robotics Flexion Robotics is building the intelligence framework for tomorrow’s humanoid robots. The company’s mission is to move from early prototypes to fully functional humanoid systems. Founded by leading scientists in robot reinforcement learning (with backgrounds at Nvidia and ETH Zürich) and backed by top international venture capital, Flexion Robotics has quickly progressed from first lines of code to deploying real humanoid capabilities. Role Overview The Machine Learning Infrastructure Engineer will help shape the core computing and data systems that support cognitive development for humanoid robots. This position focuses on building and maintaining the platforms needed to train large foundational models on substantial datasets. The work involves designing training clusters, architecting data pipelines to move information from simulators and robots into model training, and creating tools that enable AI engineers to train, evaluate, and iterate efficiently. This is a senior, on-site position based in Zürich. The Infrastructure team includes engineers with experience at Google, Meta, and Amazon. The role offers broad responsibility for systems supporting data collection, training, and experimentation workflows, including infrastructure strategy, cluster orchestration, distributed training, data platforms, CI, and experimentation tools. What You Will Do Design, deploy, and maintain GPU compute clusters for large-scale model training across multiple cloud providers, including job scheduling with Slurm and Kubernetes. Build data platforms and pipelines: set up storage, processing, and serving layers to manage data from simulator outputs and robot telemetry to training datasets. This includes infrastructure using object storage (S3), parallel filesystems (Lustre), and data formats such as Parquet, WebDataset, and LeRobot. Use distributed processing tools like Ray and Spark to transform and validate data at scale. Work with AI engineers to optimize distributed training on multi-node GPU clusters, focusing on throughput, device utilization, and communication efficiency. Improve distributed IsaacLab-based sim-to-real training workflows. Evaluate and select new platforms: assess cloud providers, GPU-as-a-Service options, and new tools, taking ownership of decisions as computing needs grow. Location This role is on-site at Flexion Robotics’ Zürich office.

Join our innovative team at anybotics as the Head of Software Infrastructure where you will lead cutting-edge projects and drive the development of our software systems. You will oversee the architecture, design, and implementation of robust software solutions that support our advanced robotics technology. Your leadership will be pivotal in enhancing our infrastructure capabilities and ensuring optimal performance.

Join Eight Advisory, a leading firm founded in 2009 in France by a team of seasoned professionals from Arthur Andersen and other Big4 companies, specializing in Transaction Services, Restructuring, and Strategy. With a workforce exceeding 950 employees across various countries, including France, the UK, Belgium, the Netherlands, the USA (New York), Spain, Germany, and Switzerland, we are part of the Eight International Network, which boasts over 650 employees in more than 20 countries. We cater to a growing demand for financial consulting services from private equity firms, medium- to large-sized corporates, and investment banks.We are seeking a highly motivated and detail-oriented individual to join our Strategy team in either Paris or Zurich as a Manager with expertise in Energy and Infrastructure.In this pivotal role, you will:Operate in a fast-paced and exclusive environment, crafting and executing strategic plans, M&A transactions, including carve-outs, integrations, and joint ventures, while tackling complex business transformations such as reorganizations and value creation strategies for both national and global clients in the corporate and private equity sectors.Oversee project teams and guide workstreams to formulate Strategy at a European level.Engage with specialists in transformation, restructuring, valuations, tax, and transaction services, concentrating on the strategic and operational dimensions of transformation initiatives.Interact directly with senior management of our clients, taking on responsibilities for business development and marketing efforts, while actively contributing to our impressive growth trajectory.In return for your exceptional performance, you will receive competitive remuneration, outstanding career advancement opportunities in the consulting industry, and a healthy work-life balance.

Speechify seeks a Software Engineer specializing in Data Infrastructure and Acquisition for its Zurich office. The position centers on building and refining systems that enable effective data acquisition. The primary goal is to raise data quality and provide strong support for algorithm development. Key Responsibilities Design, develop, and optimize infrastructure to collect and process data efficiently Collaborate with fellow engineers to enhance algorithms using reliable, high-quality data Contribute to projects that have a direct impact on Speechify’s products and services Collaboration and Impact This role works closely with a talented team that values fresh perspectives and practical solutions. Efforts in this position directly improve how Speechify acquires and manages its data, shaping the foundation for future product development.

Join Eight Advisory, a leading firm established in 2009 by former partners of Arthur Andersen and other Big4 companies, specializing in Transaction Services, Restructuring, and Transformation. With over 950 employees across multiple countries, we provide tailored financial solutions to investment funds, medium to large corporations, and investment banks.We are expanding our Strategy and Operations practice and are looking for a motivated Analyst to join our Zurich team. You will be immersed in the energy and infrastructure sectors, engaging in strategic and commercial due diligence projects, providing insights and support in a dynamic and collaborative environment.As an Analyst, you will:Actively participate in strategic, operational, and commercial due diligence projects for international clients.Focus on infrastructure sectors including energy, waste, water, and mobility.Collaborate with diverse teams, contributing to project success.Prepare detailed reports and presentations for clients and senior management.Work alongside senior team members to analyze data and conduct research.Engage in client meetings to develop your client interaction skills.Receive personalized coaching for your continuous personal and professional growth.

Skydio stands at the forefront of the drone industry, recognized as the premier US drone company and global leader in autonomous flight technology, which is vital for the future of aerial mobility. Our team is comprised of experts in artificial intelligence, innovative hardware and software development, operational excellence, and an unwavering commitment to customer satisfaction. We empower a diverse range of drone users, from utility inspectors and first responders to military personnel on the battlefield and beyond.About the Role:We invite applications for a seasoned software engineer to spearhead the creation of tools that enhance each phase of the autonomy lifecycle. You will play a pivotal role in developing and refining essential internal platforms that enable engineers to explore new concepts, analyze system behaviors, and comprehend intricate interactions between software and the physical environment.This position merges backend systems development with frontend visualization, necessitating a robust understanding of software design, developer experience, and a genuine passion for empowering colleagues through effective tooling. The systems you create will be utilized daily by autonomy developers, test engineers, and various other stakeholders within the organization.

About Mistral AIAt Mistral AI, we harness the transformative potential of artificial intelligence to streamline processes, enhance creativity, and save valuable time. Our cutting-edge technology is meticulously crafted to seamlessly integrate into everyday workflows, making AI accessible and beneficial for everyone.We are dedicated to democratizing AI by offering high-performance, optimized, open-source models, products, and solutions. Our comprehensive AI platform caters to both enterprise and individual needs, featuring innovative offerings such as Le Chat, La Plateforme, Mistral Code, and Mistral Compute. These solutions empower users with frontier-level intelligence.As a dynamic and collaborative team, we are passionate about the potential of AI to revolutionize society. Our diverse workforce thrives in competitive environments, driving innovation across our distributed teams in France, the USA, the UK, Germany, and Singapore. We pride ourselves on our creativity, humility, and strong team spirit.Join us at Mistral AI and help shape the future of artificial intelligence. Together, we can create impactful solutions that matter. Discover more about our culture at mistral.ai/careers.Mistral AI participates in the E-Verify program.

About Us:DeepJudge is the premier AI and ICT scale-up in Switzerland, revolutionizing the way law firms and legal departments access and utilize their knowledge. Established by former Google search engineers with PhDs in AI from ETH Zurich, and supported by leading Silicon Valley investors, we are creating the intelligence framework that drives the legal industry.While every firm can license identical AI models, each firm possesses distinct institutional knowledge. Years of expertise, work products, and precedents are often siloed within systems, underutilized and hard to access. DeepJudge transforms this knowledge into immediate availability through state-of-the-art enterprise search and AI infrastructure, allowing firms to automate processes, develop knowledge-centric applications, and leverage experience as a competitive advantage.Our technology is relied upon by many of the world’s leading law firms, including Freshfields, Gunderson Dettmer, Holland & Knight, Arent Fox, and Cozen O’Connor. With our headquarters in Switzerland and a growing presence across North America, we are rapidly expanding and redefining how professional knowledge is discovered and utilized.At DeepJudge, we prioritize speed, rigorous thinking, and a deep commitment to quality in our products. We blend cutting-edge research with close collaboration with our clients to create solutions that have a meaningful impact. If you’re eager to be part of a team that’s shaping the future of AI in high-stakes knowledge work, this is the place for you.About the Role:We are seeking an Applied AI Engineer to join our dynamic team. You will engage directly with customers to understand their operations, identify high-impact opportunities, and develop AI-driven solutions to tackle real-world challenges. A significant aspect of your role will involve utilizing our platform and internal tools to translate product capabilities into high-value customer experiences. This position is not confined to narrow research or pure implementation; it is ideal for individuals who are curious, resourceful, and enthusiastic about building exceptional solutions using the DeepJudge platform.Your Responsibilities Will Include:Taking ownership of customer-specific AI solutions from inception to completion, including problem understanding, approach shaping, solution building, deployment, evaluation, and ongoing improvement.Enhancing our platform and internal tools to develop reusable AI-powered solutions that can be generalized across various customers, serving thousands of end users reliably.Collaborating closely with engineering and machine learning teams to refine AI models and enhance product functionality.

About Pinterest:Join millions around the globe who turn to our platform for creative inspiration, fresh ideas, and the planning of unforgettable memories. At Pinterest, our mission is to empower everyone to discover inspiration that leads to a fulfilling life, starting with our incredible team behind the product.Explore a career where you can spark innovation for millions, turn your passions into growth opportunities, and celebrate each other’s unique experiences while embracing flexibility to excel in your work. Crafting a career you love is within reach.Pinterest serves over 500 million users worldwide, processing billions of requests daily. Our Cloud Platform team is responsible for the fundamental infrastructure technology that supports Pinterest's entire ecosystem. We are developing PinCompute, a next-generation Kubernetes-based platform designed to manage all of Pinterest’s workloads and services, representing a significant transformation in our deployment and operational practices at scale.We are seeking an exceptional Staff Software Engineer to spearhead the technical strategy and execution of our cloud infrastructure initiatives. You will influence how our engineers build and deploy services, driving innovation in areas such as container orchestration, service mesh, developer experience, and cloud-native architectures at internet scale.

Skydio stands at the forefront of autonomous flight technology, redefining the future of drones and aerial mobility. As the leading US drone manufacturer, our team blends unrivaled expertise in artificial intelligence with top-tier hardware and software development, operational excellence, and a commitment to customer satisfaction. We empower a diverse range of drone users, from utility inspectors and first responders to military personnel on the battlefield and beyond.About the Role:At Skydio, our autonomy system relies on advanced semantic and geometric comprehension of the world through visual data. We are pushing the limits of real-time deep learning networks to enhance intelligent mobile robotics. If you are passionate about utilizing vast structured video datasets to tackle challenges in Computer Vision (CV), including object detection, tracking, optical flow estimation, and segmentation, we want to connect with you.As a Deep Learning Infrastructure Engineer, you will play a pivotal role in constructing and scaling the infrastructure that underpins Skydio’s Deep Learning (DL) and AI initiatives. Collaborating closely with our autonomy, embedded, and cloud teams, you will deliver innovative capabilities and support the deep learning team.Your Impact:Develop high-performance solutions for deep learning inference tailored to CV workloads, ensuring high throughput and low latency across various hardware platforms.Analyze the performance of CV and Vision Language Models (VLMs) to pinpoint bottlenecks and opportunities for optimization and enhanced power efficiency.Design and implement comprehensive MLOps workflows for model deployment, monitoring, and retraining processes.Apply your advanced machine learning knowledge to improve system performance through training or runtime frameworks and model efficiency tools.Innovate new methods to enhance training efficiency.Develop GPU kernels for custom architectures and optimized inference.Create SDKs that facilitate customer and external developer engagement in building autonomous workflows utilizing Machine Learning (ML).Utilize your expertise and adherence to best practices to uphold and enhance Skydio’s engineering standards.Qualifications:Hands-on experience with MLOps, ML inference acceleration/optimization, and edge deployment.Proficiency in deep learning frameworks and tools.Strong understanding of computer vision principles and practices.Excellent problem-solving skills and attention to detail.

Role overview Benchling seeks a Technical Solution Architect in Zurich, Switzerland. The position centers on shaping and delivering solutions that respond directly to client needs. Success relies on a mix of technical expertise and the ability to approach software architecture with a strategic mindset. What you will do Design and implement software solutions that fit specific client requirements. Collaborate with colleagues from different disciplines to ensure solutions align with industry standards. Translate complex business and technical requirements into clear architectural plans. Set technical direction and priorities to guide project teams. Promote continuous improvement and maintain high standards within project teams. Requirements Solid background in software architecture. Ability to work effectively with cross-functional teams. Comfort balancing technical considerations with broader strategic goals. Experience ensuring solutions meet industry best practices.

Join us at anybotics as a Visual AI Data Engineering Intern, where you'll have the opportunity to work on cutting-edge projects that shape the future of AI technology. This internship offers you a unique chance to collaborate with our talented team and gain hands-on experience in data engineering, focusing on visual AI solutions.

Join Benchling as a Technical Account Manager and play a pivotal role in helping our clients achieve success through our innovative platform. You will be the main point of contact for our customers, ensuring they are fully supported and are leveraging our tools to their fullest potential. Your expertise will help drive customer satisfaction and retention while collaborating with our engineering and product teams to address customer needs.

Title: Senior AI ManagerType: PermanentLocation: Barcelona or ZürichAbout UsAt Visium, we empower enterprise leaders to shape their AI and Data strategies, spearhead large-scale transformations, and seamlessly integrate AI into operations. Our aim is to ensure organizations are resilient and prepared for the future.With our proficiency in strategy, architecture, cloud engineering, analytics, artificial intelligence, and machine learning, we enable clients to harness and scale the potential of their data.Join us in our mission to create a brighter future and build ethical, future-ready organizations. We welcome the curious, ambitious, and those with a heart for making a difference – our Visumees.Ready to join our team?Role OverviewAs a Senior AI Manager, you will engage directly with clients, overseeing multiple collaborations aimed at delivering substantial value. Your responsibilities will include:Delivering Excellence:Leading by example and empowering your teams.Guiding the development of impactful AI solutions that meet client needs.Contributing to the engagement strategy's structure, content, and direction.Focusing on stakeholder management, nurturing client relationships, and leading teams.Addressing and overcoming obstacles to unlock business benefits and ROI for clients.Continuously monitoring and measuring the delivery of client benefits throughout the engagement.Taking charge of corrective actions on delivery challenges and making informed tactical decisions.Exhibiting commercial awareness and managing engagement delivery against project milestones, financial performance, utilization, and internal KPIs.Nurturing Client Relationships:Building strong partnerships with clients, identifying new avenues for value creation, and developing innovative initiatives to enhance client value.Fostering a diverse portfolio of clients, establishing relationships with key stakeholders, and conceptualizing potential offerings for new clients.Expanding your network of external contacts.

Join Avaloq, a leader in the fintech industry, as an AI Software Engineer. In this pivotal role, you will leverage cutting-edge technologies to develop innovative AI solutions that drive our business forward. Collaborate with a talented team of engineers and data scientists to create robust, scalable applications that enhance user experience and operational efficiency.

Axelera AI is expanding its team in Zurich after the Polymesse event on March 23, 2026. The company is interested in meeting individuals who bring new perspectives and want to contribute to the advancement of AI technology. Who should consider this This search is open to people eager to share fresh ideas and play a part in shaping the direction of AI. Candidates with a genuine interest in technology and innovation are encouraged to express their interest. Application process Submit your interest by Thursday, April 30 at 10 PM CEST. Applications received by this deadline will be considered for roles related to the Polymesse 2026 event. This opportunity is based on-site in Zurich.

About GenPeach AIGenPeach AI is a pioneering research lab dedicated to developing vertical multimodal foundation models aimed at creating hyper-realistic human representations in images and videos. Our mission is to empower human creativity through advanced AI tools rather than replace it.We build our models from the ground up, utilizing proprietary datasets at an expansive scale, innovative architectures and training methodologies, extensive GPU resources, and seamless product integration to expedite the delivery of our research to end users.Our team consists of approximately 10 highly skilled professionals, guided by advisors from Google DeepMind and supported by prominent AI-focused investors and advisors from OpenAI, Meta AI, Microsoft AI, Project Prometheus, and Fal. Collectively, our team and advisors have significantly contributed to groundbreaking models such as Meta’s Imagine/MovieGen, OpenAI’s Sora, Google’s Veo, and Gemini.About the TeamYou will become a key member of the research team, focused on advancing image/video generation and multimodal understanding. Collaborating closely with fellow Research Engineers, Scientists, and Founders, you will transform innovative research into scalable training processes, robust evaluations, and production-ready systems.About the RoleWe are seeking an AI Research Engineer to contribute to the end-to-end development and scaling of GenPeach’s foundational models. Your responsibilities will include the implementation of new model concepts and training methodologies, managing critical aspects of the training stack that influence quality and efficiency, and navigating production constraints.This role is hands-on with a high degree of ownership, where you will write research-quality code that is vital for production.In this role, you willDevelop and refine image/video generative model concepts (architecture, loss functions, conditioning, sampling, distillation, post-training adjustments)Oversee training performance comprehensively (distributed training, throughput, memory management, stability, debugging scaling issues)Establish and enhance the experimental workflow (evaluations, ablation studies, reproducibility tools, reporting, decision-making processes)Create and optimize VLMs for image/video captioning (data preparation, training strategies, model variations, evaluation)Conduct high-frequency research: review literature as needed, implement concepts, and validate findings empirically