Role Description Own recommendation, search, ranking, retrieval, and discovery for a consumer content ecosystem. - Build recommendation and search across feed, discovery, search, and content continuation. - Own retrieval and ranking systems, including candidate generation, embeddings, two-tower models, feature engineering, and serving quality. - Design, launch, and analyze recommendation and search experiments. Qualifications - 5+ years of industry experience building production ML systems with senior-level ownership. - Hands-on experience with recommendation, search, ranking, ads ranking, feed ranking, or content discovery systems. - Experience working on consumer applications, entertainment, social media, gaming, creator platforms, or other engagement-driven products. - Strong knowledge of two-tower models, embedding retrieval, candidate generation, ranking systems, and online/offline evaluation. - Fluency in Chinese (Mandarin) is required. Requirements - 5+ years of industry experience building production ML systems with senior-level ownership. - Hands-on experience with recommendation, search, ranking, ads ranking, feed ranking, or content discovery systems. - Experience with consumer applications, entertainment, social, gaming, creator, or engagement-driven products. - Expertise in two-tower models, embedding retrieval, candidate generation, ranking, and online/offline evaluation. Bonus Signals - 5+ years of production ML experience. - Strong background in recommendation systems. - Experience with search ranking. - Experience with embedding retrieval. Anti-Signals - Cannot demonstrate core Senior Machine Learning Engineer experience focused on recommendation systems. - Not comfortable with the specified remote work arrangement. - Primarily coordination-focused with limited technical ownership or no shipped production examples. Interview Process - Initial recruiter screen. - Senior Machine Learning Engineer (Recommendation) technical/product deep dive. - Team/founder conversation. Culture - AI-native, fast-paced startup environment with strong ownership expectations. - Focus on building consumer AI products at the intersection of AI, social, mobile, and interactive entertainment. - Looking for engineers who ship quickly, learn from users, and take end-to-end ownership.

Role Description Design, develop, and train advanced machine learning models, including: - Deep neural networks - Transformer-based architectures - Reinforcement learning systems To power large-scale online advertising ranking and optimization platforms. Responsibilities include: - Lead the development and optimization of complex feature representations, including: - High-dimensional embeddings - Contextual and temporal signals - Cross-session user behavior modeling - Drive end-to-end model lifecycle execution, including: - System architecture design - Large-scale experimentation - Model deployment - Performance monitoring - Iterative infrastructure improvements in production environments - Collaborate closely with product, data, and infrastructure engineering teams to: - Translate business objectives into scalable, statistically rigorous modeling solutions - Conduct advanced experiment design and causal analysis to: - Evaluate model impact - Inform strategic decisions - Provide technical leadership and mentorship to machine learning engineers - Contribute to organization-wide modeling standards, best practices, and long-term technical strategy - Shape the long-term modeling vision across multiple advertising domains, including: - Conversion optimization - Application advertising - Shopping - Brand advertising Full-time telecommuting is an option. Qualifications - Master’s degree in Computer Science, Engineering (any field) or related quantitative discipline - 3 years of experience in the job offered or related occupation Requirements - Python, Java, and Scala - C++, Go, or Rust - Major machine learning frameworks and libraries - Applied statistics, hypothesis testing, and experiment design for online machine learning systems - Large-scale data processing and analytics frameworks - Deployment and operation of production systems in containerized and distributed environments - Designing and training advanced models, including deep neural networks, transformer-based architectures, and reinforcement learning models - Marketplace dynamics, such as real-time bidding (RTB) or pacing control systems - Developing and optimizing online advertising systems, including ad ranking, targeting, and marketplace - Providing technical leadership, mentorship, or guidance to other machine learning engineers - Any suitable combination of education, training, and/or experience is acceptable Benefits - Comprehensive Healthcare Benefits and Income Replacement Programs - 401k with Employer Match - Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support - Family Planning Support - Gender-Affirming Care - Mental Health & Coaching Benefits - Flexible Vacation & Paid Volunteer Time Off - Generous Paid Parental Leave

Role Description We’re building the most innovative and active pan-European online medtech eCommerce platform which will connect our production and integration services with hospitals, medical practices, laboratories, and research centers. Qualifications - 4+ years of professional experience in Data Science, Machine Learning, or AI-related roles, delivering data-driven solutions in business environments. - Excellent proficiency in Python and common Data Science libraries and frameworks such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. - Very good command of English; knowledge of German and French is a plus. Requirements - Experience designing end-to-end AI solutions, including software, infrastructure, and hardware components. - Solid understanding of networking concepts, API integrations, security, and system interoperability. - Solid understanding of machine learning algorithms, data preprocessing, and model training workflows. - Knowledge of computer vision systems, image acquisition pipelines, and camera-based automation solutions. - Experience with Azure cloud services, hybrid architectures, and on-premise deployments. - Ability to evaluate, select, and manage hardware vendors and technology partners. - Ability to design and implement end-to-end ML pipelines, including data ingestion, feature engineering, and deployment. - Strong analytical skills with a focus on solving complex problems in a structured and efficient manner. - Enthusiastic about exploring new challenges and delivering innovative solutions. - Solid understanding of MLOps principles and model lifecycle management, including monitoring, retraining, and performance optimization. - Strong analytical and problem-solving skills, with the ability to communicate complex findings clearly to both technical and non-technical stakeholders. - Passion for innovation and continuous learning in the fields of AI, Machine Learning, and Data Science. Responsibilities - Design and own end-to-end AI solution architectures, covering data pipelines, AI services, integrations, and infrastructure requirements. - Define camera setups, imaging requirements, and hardware specifications for computer vision use cases. - Coordinate installations and integrations with internal teams. - Collaborate with Digital, IT Infrastructure, Software Engineering, and Master Data teams to ensure scalable and maintainable solutions. - Develop and deploy AI models on edge devices where low latency or offline processing is required. - Create and optimize conversational AI for natural language interactions and improved user experiences. - Continuously explore and incorporate emerging AI/ML technologies to enhance the efficiency and scalability of solutions. - Monitor model performance and conduct regular evaluations to maintain accuracy and reliability. - Contribute to bi-weekly brainstorming and team innovation sessions to propose new ideas and solutions. Benefits - Comfortable environment, challenging tasks and a long-term interesting project; - Covered 20 days of vacation and 10 days of sick leave; - Health insurance with premium-level clinics; - Working with top notch equipment; - Bookkeeping by a professional accountant; - Help and support from our caring HR-team; - Regular business trips to Switzerland.

Role Description As a Software Engineer on our Data Infrastructure team, you will contribute to scaling and advancing our entire data infrastructure. This includes: - Building data-related infrastructure and tooling. - Collaborating closely with various teams to facilitate and improve their usage of data. - Working with our team lead to design, scope, and deliver large scale projects within the team. - Collaborating closely with a diverse group of engineers to impact the team's productivity and successful delivery. - Defining the team's technical roadmap towards achieving strategic-level engineering goals. - Participating in mentorship and development of other engineers on the team. - Shaping our company's engineering culture. We seek brilliant thinkers who are passionate about taming complexity and solving problems through innovation and rigorous engineering. You’ll work in a collaborative environment that encourages creative thinking and experimentation, and values efficiency and attention to detail. Qualifications - Computer Science / Engineering bachelor’s degree (or equivalent). - 3+ years of relevant software engineering experience. - Proven track record of software design and implementation with focus on correctness, robustness, efficiency, and scale. - Experience working with large codebases and building modular, extensible, and maintainable software. - Expertise in a modern programming language, such as Python, Go, Java or C++. - Hands-on experience developing in a Linux/UNIX environment. - Design and implementation of scalable services and APIs, highly-available systems, and/or large-scale data infrastructure. - Strong communication skills and a knack for explaining complex ideas with clarity and simplicity. Requirements - Familiarity with cluster management and containerization technologies (e.g. Kubernetes, Docker). - Familiarity with cloud storage, querying, and processing technologies (e.g. Iceberg, BigQuery, Snowflake, DynamoDB, Trino/Athena). - Familiarity with job scheduling and orchestration technologies (e.g. Airflow, Slurm). - Experience building data platforms with a developer experience lens — designing APIs, access patterns, or tooling that abstracts infrastructure complexity from end users. Benefits - Highly competitive compensation and benefits packages. - Technology talks by our experts. - A beautiful modern office. - Daily catered lunches. Company Description Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. The people who shape our company come from other backgrounds, including concert music performances, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together.