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Google Platform Engineer We're partnering with a leading financial services client in NYC to hire a hands-on Google Platform Engineer. This role focuses on building, automating, and scaling a GCP environment that supports critical trading and transaction processing systems. Ideal candidates will bring strong cloud engineering experience along with an understanding of financial systems and data flows. Responsibilities • Design, build, and maintain scalable infrastructure in Google Cloud Platform (GCP), • Support platforms tied to trading systems and transaction processing workflows, • Manage and optimize core GCP services including Compute Engine, GKE, Cloud Storage, and BigQuery, • Develop Infrastructure as Code using Terraform or similar tools, • Build and maintain CI/CD pipelines for reliable deployments, • Monitor performance, troubleshoot issues, and ensure high availability, • Partner with security teams to enforce cloud best practices and compliance standards, • 5+ years of experience in cloud or platform engineering, • Strong hands-on experience with Google Cloud Platform (GCP), • Experience with Kubernetes (GKE preferred) and containerized environments, • Proficiency with Terraform or other IaC tools, • Experience with CI/CD tools (GitHub Actions, Jenkins, etc.), • Strong scripting skills (Python, Bash, or similar), • Experience working in financial services environments, • Exposure to trading systems or transaction processing platforms strongly preferred, • Experience with data platforms such as BigQuery, • 12-month contract with potential for extension, • Hybrid role based in New York City

AI/ML Software Engineer At Gallatin, we are rebuilding defense logistics for the warfighters of the United States and allied forces. We take an AI-first approach to improve defense readiness through software products that streamline and modernize logistics operations from factory to foxhole and result in better decisions and outcomes. We believe that you won't change the world by phoning it in and as such we work from our office in El Segundo, California or Austin, Texas. About the Role We're looking for an AI/ML Software Engineer to play a foundational role in developing and deploying AI-powered solutions for our core product. You'll work across the full AI/ML lifecycle—from defining and building models to evaluating and deploying large scale ML pipelines and real-time inference systems—while collaborating with cross-functional teams to deliver impactful, real-world AI applications. What You'll Do * Build and Deploy AI/ML Models * Own and develop an AI model aligned with our core product needs within the first three months. * Validate AI-driven product features through real-world testing and feedback from warfighters. * Establish scalable MLOps pipelines and real-time inference services to streamline model training, deployment, runtime, and monitoring. * Own high model reliability and uptime by implementing monitoring across your work. * Data Collection & Processing * Identify and integrate structured, unstructured, real-time, and batch data sources. * Work with internal logs, APIs, user interactions, and third-party datasets to improve model training quality. * Continuous Improvement & Best Practices * Stay ahead of AI trends and emerging technologies to improve model performance. * Document and share best practices for AI/ML development. * Contribute to the hiring and mentoring of AI/ML talent as we grow our team. * Teach the wider team about the latest trends and significance in novel approaches in AI. What We're Looking For * Strong Programming Skills * Expertise in at least one: Python, C++, or C. * ML Framework Proficiency * Hands-on experience with AI/ML training and fine-tuning frameworks, including: * PyTorch, TensorFlow, CUDA, Jupyter Notebooks * Large Language Models (LLMs) and Open-Source Models (Llama, Anthropic, Mistral) * LangChain, Retrieval-Augmented Generation (RAG), Hugging Face, Exo Labs * MLOps & Data Engineering Knowledge * Experience with data processing and pipeline frameworks such as Apache Kafka, Apache Airflow, AWS Kinesis, pandas, and dbt. * Understanding of AI model performance monitoring, data drift detection, and observability tools like Grafana or Kibana. * AI Fundamentals & Security Awareness * Deep understanding of deep neural networks (DNNs), LLMs, over/underfitting, prompt engineering, and LLM security (jailbreaking risks and protections). * Growth Mindset * Passion for continuous learning and staying current with the latest advancements in AI/ML, as well as teaching others Bonus Points * Experience mentoring and upskilling junior engineers. * Familiarity with legacy systems and working with public sector customers. * Contributions to open-source (AI/ML) projects. Why Gallatin? * Join a mission-driven, high-impact, and fast-moving startup where your work directly improves defense logistics readiness for the warfighters of the United States and allied forces. * Work alongside a team of passionate engineers, designers, and industry experts. * Competitive compensation incl. generous options grant, 100% employer-paid health insurance premiums, 401k, opportunities for rapid career growth, unlimited PTO, free lunches and snacks in the office. This position requires the ability to obtain and maintain relevant security clearances. The successful candidate must be able to work in a classified environment when necessary. If you're not excited about working hard, and solving the hard problems of building AI decisions-support systems that enhance our warfighters, don't apply. The following ranges are based on the cost of labor across US geographic areas. The base ranges from our lowest geographic market to our highest geographic market. Software Engineer I $80,000-$120,000 Software Engineer II $84,000-$175,000 SR Software Engineer $134,000-$210,000

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As a Senior Enterprise Platform Engineer at Baseten, you'll architect and lead development of infrastructure and platform features for our enterprise customers and cloud partners. This includes enabling self-hosted and single tenant clusters, region-aware request routing, enterprise-grade data and security integrations, and more. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Infrastructure team: • Multi-cloud capacity management, • Inference on B200 GPUs, • Multi-node inference, • Fractional H100 GPUs for efficient model serving RESPONSIBILITIES, • Architect and develop infrastructure and platform features tailored for enterprise customers, including self-hosted clusters, single-tenant environments, and cross-cloud workload orchestration., • Lead technical initiatives to productize secure and scalable private connectivity solutions., • Design and implement solutions addressing the complex regulatory and compliance requirements of our customers, including data residency, auditability, and enterprise data protection., • Advance our self-hosted infrastructure offerings, focusing on capacity management, release management, and observability tooling., • Collaborate on partner-focused initiatives to deliver secure, minimal Baseten deployments within partner environments., • Evaluate and implement emerging virtualization technologies to enhance platform isolation and security., • Independently develop technical specifications, collaborate cross-functionally to define product requirements, and drive projects from conception through execution., • Provide mentorship and leadership on enterprise infrastructure best practices, fostering knowledge-sharing across engineering teams. REQUIREMENTS, • Bachelor's degree or higher in Computer Science or related field, • 5+ years of experience building distributed systems, cloud infrastructure, or Kubernetes-based solutions in production environments, • Past experience working with enterprise security, compliance, and privacy requirements, • Advanced understanding of distributed systems concepts, cloud architectures, and performance optimization, • Demonstrated ability to independently manage technical projects, from planning and specification through implementation, • Excellent collaboration and communication skills, with experience coordinating across functional teams and directly with customers, • Preferred experience working with AI/ML systems or familiarity with MLOps practices BENEFITS, • Competitive compensation, including meaningful equity., • 100% coverage of medical, dental, and vision insurance for employee and dependents, • Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!), • Paid parental leave, • Fertility and family-building stipend through Carrot, • Company-facilitated 401(k) At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Are you looking to Optimize your life? Start your exciting path to a rewarding career today! We are Optimum, a leader in the fast-paced world of connectivity, and we're seeking driven and enthusiastic professionals to join our team, empower lives, fuel businesses, and drive innovation. Connectivity is now longer a luxury, but a necessity. A career at Optimum means you'll be enabling progress and enhancing lives by providing reliable, high-speed connectivity solutions that keep the world connected. Our successes, now and in the future, are powered by our amazing product, a commitment to our people and culture, and the connections we make in our communities. If you are resourceful, collaborative, and passionate about delivering consistent excellence, Optimum is for you! Machine Learning Engineers work to deploy end-to-end solutions to business problems leveraging AI and/or ML principles as needed to create those solutions. MLEs will take requests from stakeholders, define the components required for the project, gather data necessary for project EDA and training, then work with stakeholders to develop a plan around the productionized use of the solution, and work to put that solution into final production. • Consult with stakeholders to gather business requirements, translate them into agentic AI and data solutions, design high-level agent and model architechures, and demonstrate deep expertise in advanced analytics LLMs and AI/ML techniques to design, prototype, and build production-grade solutions to business problems., • Architect, build, and deploy agentic AI systems (single-agent and multi-agent workflows) on Google Cloud, leveraging Google's Customer Engagement Suite (CES), Vertex AI Agent Builder, and Gemini-family models to automate enterprise workflows in customer engagement, sales, marketing, and operations., • Design, integrate, and orchestrate the tools, APIs, function calls, retrieval pipelines (RAG), memory stores, and guardrails that extend agent capabilities, and own the end-to-end deployment, observability, evaluation, and lifecycle management of these agents in production., • Lead communication with other stakeholders to drive agentic use case development and manage expectations on model and agent limitations, latency, cost, and lead times., • Analyze data to identify useful relations, patterns and features that are predictive of user behaviors, preferences, intents, and interests, and use these signals to ground and personalize agent behavior., • Manage and execute entire projects from start to finish, including cross-functional project management; data collection and manipulation, analysis and modeling; communication of insights and recommendations; productionalization of final model and agent products., • Share findings with stakeholders to improve business decisions and/or influence strategic direction., • Monitor and stay updated with industry trends and emerging technologies in agentic AI, foundation models, and MLOps/AgentOps to identify opportunities for innovation and improvement., • Develop and maintain end-to-end modeling and agent code, and standardize the code for reusability in the production environment., • Profile users including customer segmentation to help the marketing team target specific audiences for upgrading services and for user retention, and operationalize these insights through agent-driven engagement. Graduate Degree in a quantitative discipline, such as Data Science, Applied Mathematics, Statistics, Economics, Operations Research, Computer Science, Mathematics, Physics, Biology, Chemistry or Engineering. Phd is a plus * 3-5 years of work experience in classification, regression, clustering, natural language processing (NLP), experiments, and optimization. * Hands-on experience with Google's Customer Engagement Suite (CES) is required and non-negotiable, including building, configuring, and deploying solutions across CES components (e.g., Conversational Agents / Dialogflow CX, Agent Assist, Conversational Insights) for enterprise customer engagement use cases. * Demonstrated experience building agentic AI systems in production - including single-agent and multi-agent architectures, planning and reasoning loops, tool/function calling, and orchestration with frameworks such as Vertex AI Agent Builder, ADK (Agent Development Kit), LangGraph, LangChain, CrewAI, or AutoGen. * Proven ability to integrate new tools and external systems (REST/GraphQL APIs, internal microservices, databases, vector stores, knowledge bases, MCP servers) to extend agent capabilities, and to own deployment, CI/CD, monitoring, evaluation, and guardrails for agents running in production. * Ability to apply Bayesian inference, frequentist statistics, causal modeling, and/or machine learning techniques. * Experience with any of these: customer segmentation, A/B experiments, quasi-experiments, sales forecasting, churn propensity modeling, customer lifetime value analysis, credit risk, geospatial analytics, survey key-drivers, marketing mix modeling, multi-touch attribution, or recommender systems. At Optimum, every action and interaction we take part in, is driven by our three Guiding Principles: Do What's Right, Drive One Optimum, and Make It Happen. These aren't just words, they help us build trust, create real community, and embrace new ways of thinking. Our employees are empowered to do the right thing for our customers and co-workers and to recognize and reward these behaviors when we see them. It's all part of the bigger picture of "Be The Difference" where each employee knows they have the power to enact real change, share new ideas, and understand that learning never stops. If you have the drive to succeed and are ready to embark on a thrilling career, seize this opportunity today, and join our winning team. Together, we'll shape the future of connectivity. All job descriptions and required skills, qualifications and responsibilities for a particular position are subject to modification by the Company from time to time, in the Company's discretion based on business necessity. We are an Equal Opportunity Employer committed to recruiting, hiring and promoting qualified people of all backgrounds regardless of gender, race, color, creed, national origin, religion, age, marital status, pregnancy, physical or mental disability, sexual orientation, gender identity, military or veteran status, or any other basis protected by federal, state, or local law. The Company collects personal information about its applicants for employment that may include personal identifiers, professional or employment related information, photos, education information and/or protected classifications under federal and state law. This information is collected for employment purposes, including identification, work authorization, FCRA-compliant background screening, human resource administration and compliance with federal, state and local law. Applicants for employment with The Company will never be asked to provide money (even if reimbursable) as part of the job application or hiring process. Please review our ___for further details. Pay is competitive and based on a number of job-related factors, including skills and experience. The starting pay rate/range at time of hire for this position in the posted location is $156,774.00-$198,273.00/ year. The rate/range provided herein is the anticipated pay at the time of hire, and does not reflect future job opportunity. We appreciate your interest in this opportunity. Applicants must be authorized to work for ANY employer in the U.S. Please note that at this time, we do not provide visa sponsorship for employment.

We are looking for a Software Engineer, with a focus on MLOps, to join our Machine Learning Platform team to help solve creative challenges around Machine Learning infrastructure for the New York Times. Machine Learning (ML) at the New York Times enhances the experience of our 150 million digital re

Job Description Senior Data Engineer – Cloud & AI Platforms Location: US / Canada (Remote/Hybrid) Type: Contract / Full-Time Overview: We are hiring a Senior Data Engineer to support large-scale data modernization and AI-driven transformation programs. This role focuses on building robust, scalable cloud data platforms and enabling advanced analytics and AI use cases. Key Responsibilities: • Architect and develop scalable data pipelines and cloud-native data solutions, • Collaborate with data scientists, analysts, and business stakeholders, • Strong experience in data engineering and cloud-based architectures, • Hands-on expertise with platforms like Databricks, Snowflake, Azure Synapse, or BigQuery, • Experience with ML/AI pipelines (Python, PyTorch, MLOps), • Exposure to GenAI frameworks such as LangChain or agent-based systems

Job Description Tagup is a defense technology company founded at MIT that is delivering logistics decision advantage with next-generation AI. We’re growing rapidly and are looking for change-makers passionate about delivering innovative technologies to solve the most challenging problems in the world’s highest stakes environments. This is an exciting opportunity to engage in meaningful work that strengthens national security and contributes to the success of U.S. and allied forces. Join us in shaping the future of defense logistics for a safer tomorrow. We are seeking a Machine Learning Engineer to join our Salt Lake City team and help shape the next generation of AI-driven defense and aviation systems. In this role, you’ll go beyond building models — you’ll design, deploy, and scale AI solutions that directly support mission-critical operations. This is not a typical ML position. You’ll work at the intersection of cutting-edge research and real-world application, creating models and infrastructure that deliver measurable improvements in reliability, efficiency, and performance. If you’re motivated by solving complex technical challenges and want your work to make a tangible impact on national security and aviation safety, we want to hear from you.What You’ll Do • Develop, train, and optimize ML models for large-scale applications., • Build pipelines for data ingestion and model deployment., • Work with engineers and subject-matter experts to refine solutions., • Conduct testing and validation to ensure reliability., • Co-author technical reports on data analysis and model performance., • Continuously improve ML infrastructure and workflows., • Collaborate with customers to identify new data sources and the industrial processes they will support; some customer travel may be required.What We’re Looking For, • 4+ years of machine learning experience, with strong Python skills and proficiency in frameworks such as PyTorch or TensorFlow., • Proven ability to deploy ML models into production and work with large, complex datasets., • Hands-on experience with MLOps tools and practices, including Kubernetes, MLflow, and CI/CD pipelines., • Experience building and managing cloud infrastructure as code (AWS, Azure, or GCP) with tools such as Terraform or Ansible. Tagup is an equal opportunity employer and individuals seeking employment with us are considered without regard to race, color, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic protected by law. Citizenship: Due to the nature of our work with the U.S. Department of Defense, applicants must be authorized to work for any employer in the U.S. We are unable to sponsor visas at this time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFusemachines is a 10+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world. About the Role: We are seeking a Director of Engineering with strong expertise in both core software engineering and applied AI/Machine Learning to lead the development of innovative, production-grade products. This is a hands-on leadership role requiring a highly technical individual who can actively contribute to system design, coding, and architecture while also guiding a team. The ideal candidate combines deep engineering execution with the ability to set technical direction and drive delivery in a fast-paced B2B environment. This role operates with a 60% focus on technical execution and 40% on leadership and oversight. Key Responsibilities: Hands-On Technical Leadership • Serve as a hands-on technical leader, spending the majority of time coding, reviewing code, and designing systems, • Operate at a senior/principal engineering level while setting technical direction, • Lead by example in building production-grade software across backend, frontend, and infrastructureAI & Data Systems Development, • Design, build, and deploy AI-enabled products end-to-end, including:, • Statistical and predictive models, • LLM-based systems (e.g., LLaMA, Qwen, Mistral), • Fine-tune and integrate models into customer-facing B2B applications, • Focus on shipping AI into production, not research, • Collaborate effectively with AI/ML specialistsSoftware Engineering Excellence, • Contribute as a core software engineer across backend and frontend systems, • Build high-quality applications with emphasis on:, • Clean architecture, • Performance and scalability, • Reliability and maintainabilityBackend, Platform & Infrastructure, • Develop backend services using Golang, • Work extensively with Kubernetes, including:, • Service architecture, • Deployment and scaling, • Debugging, observability, and production operationsFull-Stack Development, • Build and review end-to-end product features using:, • React, • NestJS, • Contribute across the full stack as neededTeam Leadership & Collaboration, • Lead and mentor a small-to-mid-sized engineering team while remaining hands-on, • Provide code reviews, technical mentorship, and architectural guidance, • Establish engineering standards and best practices with minimal process overhead, • Partner with Product and business stakeholders to drive outcomesProduct & Business Impact, • Build and scale B2B products, • Make engineering decisions with a clear understanding of:, • Customer impact, • Delivery timelines, • Revenue implications, • Experience: At least 5 years of technology experience, with experience in leadership roles managing teams that specialize in both ML/MLOps and core software engineering. Experience with ML metrics observability, workflow orchestration, service release automation, notebook development, and LLM deployment is a plus., • Education: Advanced degree in Computer Science, Engineering, or a related field, with a strong background in both AI/machine learning and software engineering., • Technical Expertise: A deep understanding of Enterprise Software architecture, design patterns, and modern programming languages coupled with a strong foundation in machine learning algorithms, data modeling, and MLOps practices across the major cloud providers (AWS, Azure, GCP)., • Leadership and Vision: Proven ability to lead, inspire, and grow multidisciplinary engineering teams. A Strategic thinker with the capacity to balance short-term goals with long-term vision., • Collaborative Skills: Excellent communication and collaboration skills, capable of fostering positive relationships across engineering teams and with other business units. Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Powered by JazzHR deRuOve3G5

Job Description Senior Cloud Architect – Data, AI & GenAI Platforms Location: US / Canada (Remote/Hybrid) Type: Contract / Full-Time Overview: We are hiring a Senior Cloud Architect to drive the design and implementation of modern data and AI platforms. This role will enable enterprise adoption of AI/ML and GenAI solutions through scalable cloud architectures. Key Responsibilities: • Build and scale cloud-native data and AI platforms, • Architect data pipelines and AI/ML integration frameworks, • Ensure governance, security, and operational excellence, • Strong experience in cloud architecture (AWS, Azure, GCP), • Expertise in large-scale data platform design and implementation, • Data platforms: Databricks, Snowflake, Azure Synapse, BigQuery, • ML/AI Engineering: Python, PyTorch, MLOps pipelines, • GenAI: Experience with LangChain, LLM orchestration, agentic AI

Location: Remote – European Union Contract Type: B2B Contract Experience Level: Mid to Senior About the Role Codertal is seeking an experienced NLP Engineer to join our AI team and develop state‑of‑the‑art language understanding models. You’ll collaborate with data scientists, MLOps engine

Lead enterprise data architecture and data warehousing (DW) strategy, designing scalable data models, database structures, and high-performance data engineering solutions. Enable advanced analytics, data mining, and ML/MLOps capabilities, supporting data-driven decision-making and digital transforma

Experience delivering AI engineering solutions and handling user requirements. Develops strong working relationships across Development, Engineering and Architecture teams. Up-to-date in latest AI/ML Engineering, Generative AI, Agentic platforms and MLOps.

Job Description About Syllo Syllo is on a mission to transform litigation. Our product is an AI-powered litigation workspace that enables lawyers and paralegals to safely harness the power of language models throughout the litigation life cycle. Since going to market, we have gained a diverse group of enterprise customers, including some of the biggest law firms in the country, and we are quickly expanding. By reducing the expense of litigation industry-wide, we aim to improve access to high-quality representation and promote the alignment of legal outcomes with merit. We are a mission-driven venture and recognize the enormous societal benefits that will result from a legal system that works better for everyone. We are seeking a skilled and fast-moving Senior AI Engineer to join our team. This role is focused on the practical application of AI, specifically leveraging Large Language Models (LLMs), to build robust, scalable, and impactful user-facing features. This is an engineering-centric role—you will be an expert at building and integrating production systems, not primarily a research scientist. The Responsibilities • System Design & Implementation: Design and build high-performance, production-level AI-powered features and services, with a focus on reliability and scalability., • Develop robust engineering solutions to mitigate the inherent unreliability of LLMs. This includes implementing effective guardrails, validation pipelines, error handling, caching, and failover/fallback mechanisms to ensure a high-quality user experience even when the model misbehaves., • Focus on optimizing latency, throughput, and cost efficiency for all AI-powered services., • Serve as an engineering expert in integrating models and data feeds with existing business logic and APIs., • Engineering Best Practices & Quality:, • Champion and enforce high standards for code quality, architectural design, and system documentation., • Implement rigorous testing strategies, including unit, integration, and performance testing, to ensure the robustness of AI features before and after deployment., • Participate actively in peer code reviews to maintain a high bar for engineering standards across the team., • Feature Delivery & Ownership:, • Take ownership of the full lifecycle of new AI features, from initial design and prototyping to testing and deployment into the production environment., • Own the end-to-end development of new features, including API design, integration with front-end services, persistent data storage, and comprehensive monitoring/alerting., • Work closely with product managers and other engineers to scope, estimate, and deliver features on a fast iterative cycle., • Pipeline Enhancement: Quickly onboard onto our existing codebase to understand, maintain, and significantly enhance existing data and feature pipelines, improving their efficiency and robustness., • Tooling & Velocity: Embrace and utilize AI-powered developer tools (such as GitHub Copilot) to maximize your efficiency, demonstrate a commitment to continuous learning, and set a high bar for engineering velocity. Qualifications • Deep Engineering Fluency & Quality Focus: Proven ability to build and deploy complex, high-quality software systems with an emphasis on maintainable code, rigorous testing, and engineering best practices., • Python Proficiency: Fluent in Python and its ecosystem for backend services and data processing., • System Design Expertise: Strong grasp of system design principles, including distributed systems and API design., • Demonstrated ability to design scalable distributed systems, including expertise in microservices architecture., • Codebase Agility: Excellent ability to read, understand, and navigate an unfamiliar codebase quickly., • Fast Learner: A demonstrable history of rapidly acquiring new technical skills and applying them to solve business problems. Great to Have • AI/ML Feature Experience: Experience directly building, shipping, and maintaining AI-powered products, agents, or intelligent features in a commercial setting., • LLM/Generative AI Exposure: Familiarity with the unique engineering challenges of integrating Large Language Models into a production environment., • Hands-on experience with LLM operationalization challenges (MLOps for LLMs), including prompt engineering, working with vector databases, RAG systems, or managing context windows., • Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) for deploying and managing services. United States - Remote Pay Range$170,000—$220,000 USD

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The opportunityAs an ML Engineer at Radical AI, you will be responsible for developing machine learning systems, data pipelines, and large-scale training infrastructure. You will orchestrate entire machine learning lifecycles, but also data ingestion, enrichment, model exporting and serving, and much more. Your work will directly impact the development of an end-to-end AI-driven approach to materials discovery and development. Positions are available at various levels of seniority: Senior, Staff, and Principal.Mission • Develop, train, and deploy machine learning models to solve complex problems in materials science and lab automation., • Experiment with cutting-edge ML algorithms and techniques to improve performance and scalability., • Collaborate with researchers on the pre- and post-training stages of model development., • Conduct production-level deployments of our machine learning models and infrastructure., • Continually evaluate model performance and maintain production integrity., • Ensure reproducibility and traceability of models by leveraging version control systems and orchestration tools., • Contribute to research initiatives and participate in knowledge-sharing across teams., • Document workflows, experiments, and deployment procedures for future reference., • Tackle challenging problems with new and different ideas, creativity and contrarian thinking., • Mentor and guide junior team members and interns, promoting an environment of continuous learning and innovation.About you, • Ph.D., M.S., or B.S. in Computer Science, AI, Machine Learning, Applied Maths, Engineering or a closely related field, or equivalent practical experience., • Proven record of accomplishment in building machine learning systems, working with large generative and/or language models, • An excellent understanding of machine learning infrastructure and systems fundamentals., • Strong background in algorithms, data structures, and software engineering principles., • Working knowledge of various generative AI architectures, including transformers, diffusion models, CNFs, and flow matching., • Proficiency in Python and relevant ML libraries (e.g., PyTorch), as well as tools for deploying ML models (e.g., MLflow, K8s, Docker)., • Passion for staying current with the latest trends in AI/ML technologies., • Excellent collaboration and communication skills, capable of articulating complex technical ideas clearly and effectively.Pluses, • Familiarity with distributed computing frameworks such as Ray, Spark, etc., • Strong fundamental knowledge and practical experience using Linux systems, including working with large-scale computing clusters., • Hands-on experience with MLOps tools (e.g., Kubeflow, Seldon, CI/CD pipelines for ML)., • Familiarity with serverless architecture and cost optimization for ML workflows., • Strong publication record in top-tier AI/ML conferences or journals.What we offer, • A competitive compensation package also includes the best in benefits:, • Medical, dental, and vision insurance for you and your family, • Mental health and wellness support, • Unlimited PTO and 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

A tech company specializing in AI is seeking a Remote Deep Learning Engineer to design, train, and deploy state-of-the-art models. The role involves collaboration with data scientists and MLOps engineers, impacting global projects.

Job DescriptionAbout Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise as well as personal needs. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute - a suite that brings frontier intelligence to end-users. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on . Role Summary This role focuses on building and operating the next generation of data infrastructure at Mistral AI. You will be a core contributor to our evolution, helping us design and scale massive compute fleets and storage systems designed for high performance and scalability. You will help us move toward a future of decoupled control and data planes, scaling big data compute and storage platforms while ensuring secure and governed data access for MLOps and research. You will take full lifecycle ownership: from architecting the migration away from legacy orchestrators to implementing production-grade pipelines and participating in on-call rotations for critical training jobs. What will you do • Build & Scale: Help us reach our goal of operating massive distributed compute and storage systems• Global Orchestration: Architect and maintain multi-cluster orchestration layers to optimize workload placement across diverse hardware and regions. • Design Future-Proof Storage: Architect our transition to modern storage formats to handle fine-tuning datasets at a scale that anticipates exabyte growth., • Platform Engineering: Contribute to the development of our internal training platform, ensuring seamless model training and fine-tuning capabilities across Kubernetes and SLURM based environments., • Metadata & Lineage: Implement and manage systems to provide clear visibility and lineage as our data and model pipelines grow in complexity., • Operational Excellence: Use modern deployment workflows to manage cloud-native deployments, ensuring our data platform can scale by o About you • Have 4+ years of experience in Data Infrastructure, MLOps, or Infrastructure Engineering., • Have experience or a strong interest in supporting foundational compute and storage platforms., • Are proficient in Python and enjoy solving the "brittle data lake" problem with modern, columnar storage standards., • Are well-versed in Kubernetes-native tooling and excited to debug large-scale distributed systems across multi-cluster environments., • Take pride in building and operating scalable, reliable, and secure systems from the ground up., • Are comfortable with ambiguity and the challenges of building high-scale infrastructure in a rapid-growth AI environment. What we offer • \uD83D\uDCB0 Competitive salary and equity., • \uD83D\uDE91 Healthcare: Medical/Dental/Vision covered for you and your family., • \uD83D\uDC74\uD83C\uDFFB Pension : 401K (6% matching), • \uD83C\uDFDD️ PTO : 18 days, • \uD83D\uDE97 Transportation: Reimburse office parking charges, or $120/month for public transport, • \uD83C\uDFC0 Sport: $120/month reimbursement for gym membership, • \uD83E\uDD55 Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger), • \uD83C\uDF0E Visa sponsorship, • \uD83E\uDD1D Coaching: we offer BetterUp coaching on a voluntary basis By applying, you agree to our Applicant Privacy Policy.

Responsibilities include designing computational STEM problems, Python programming, and verifying solutions.

A leading healthcare solutions provider in the United States seeks an ML Engineer passionate about MLOps and data reliability.You will build and maintain pipelines for AI in Healthcare Information Systems, deploy ML models securely, and develop ETL processes.The ideal candidate holds a Bachelor's or

Company description Publicis Groupe is a global leader in communication and is positioned at every step of the value chain, from consulting to execution, combining marketing transformation and digital business transformation. Through a unified and fluid organization, Publicis Groupe partners with its clients across communication, media, data and technology to ensure access to the full breadth of capabilities in every market. Present in over 100 countries, Publicis Groupe employs around 103,000 professionals. Overview Why Work with Us? The Performics function strategizes and provides digital activation services for global advertisers in over 57+ markets around the world with the aim to deliver the optimal outcome. Our Performance Centre of Excellence drives performance solutions across several channels including social, social, programmatic, commerce and affiliates. We have 30 different nationalities in our teams and work closely with teams from Google, Meta, TradeDesk and Amazon to deliver innovative solutions that helps deliver business results to our clients. About the Role We are seeking a passionate and experienced Director of Technology to join our Data Foundation Platform team, working closely to architect and implement scalable data ingestion, processing, and storage solutions for a specific marketing channel (Search, Social, Programmatic, or Commerce). This individual will play a crucial role in building the data infrastructure that powers OneSuite's AI-driven insights while bringing AI-native thinking to data platform design. Our application suite helps Publicis Groupe Performance experts drive holistic search, social, programmatic, and commerce marketing strategies for our global clients. This role offers a clear growth path into AI Orchestration or Agent Studio leadership as the platform evolves. Your Impact This role blends deep technical expertise in data engineering with AI awareness and leadership potential. You will be designing and implementing the data foundation that powers OneSuite's intelligent marketing platform while fostering AI-first approaches to data architecture. Your understanding of scalable data systems, combined with AI/LLM awareness, will directly translate into enhanced performance, intelligence, and scalability for our applications. This position offers significant growth opportunities into AI Orchestration team leadership, making it ideal for someone looking to transition from data engineering into AI platform leadership. Your work will directly influence the data quality, accessibility, and AI-readiness of our global platform, driving measurable impact for our clients. Responsibilities * Lead data architecture design and implementation for assigned marketing channel (Search, Social, Programmatic, or Commerce), ensuring scalable and AI-optimized data flows. * Own the technical roadmap for data foundation platform components, aligning with overall OneSuite product strategy and AI orchestration requirements. * Design and implement robust data ingestion pipelines from marketing APIs, third-party sources, and campaign management platforms, with specific focus on data formats optimized for AI/LLM consumption. * Architect scalable data processing workflows for both real-time streaming and batch analytics, including: * Campaign performance data aggregation and transformation * Customer journey data processing and enrichment * Marketing attribution and conversion tracking * AI training dataset preparation and feature engineering * Build enterprise-grade data storage solutions optimized for both traditional analytics and AI/ML model training and inference. * Establish comprehensive data quality frameworks with automated monitoring, validation, lineage tracking, and alerting systems. * Drive AI-native data platform design, integrating vector-ready processing for embedding generation, similarity search, and RAG system optimization. * Collaborate closely with Rebecca on cross-channel data platform strategy, architecture standards, and integration patterns across Search, Social, Programmatic, and Commerce channels. * Provide technical guidance and mentorship to junior data engineers, fostering a culture of best practices in both data engineering and AI integration. * Lead cross-functional collaboration with AI Orchestration, Agent Studio, and frontend teams to ensure seamless data integration and optimal performance. * Implement data security, privacy, and compliance frameworks for enterprise marketing data handling across global markets. * Research and evaluate emerging AI-enhanced data processing tools, vector databases, and data platform technologies for continuous platform improvement. * Design and implement high-performance data APIs that serve both traditional analytics dashboards and AI agent workflows with sub-100ms response times. * Establish comprehensive monitoring and observability for data pipelines, ensuring 99.9% uptime and proactive issue detection. Qualifications • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field., • 5+ years experience in data engineering with emphasis on high-volume marketing data processing and real-time analytics., • 2+ years experience in technical leadership roles, including mentoring team members and driving architectural decisions., • Production experience building and maintaining data pipelines processing millions of marketing events daily., • Strong expertise in data ingestion from marketing platforms (Google Ads, Facebook Ads, programmatic DSPs, Amazon Advertising)., • Advanced knowledge of data processing frameworks including Apache Spark, Kafka, Airflow, and modern streaming technologies., • Expert-level proficiency in Python and SQL, with hands-on experience in at least one additional language (Scala, Java, or Go)., • 1+ years demonstrable experience working with AI/ML systems, including understanding of data requirements for LLMs, RAG architectures, and vector processing., • Deep understanding of cloud data infrastructure (AWS, GCP) including data lakes, warehouses, and real-time processing services., • Strong experience with both SQL and NoSQL databases (PostgreSQL, MongoDB, Redis, Elasticsearch) and data modeling for analytics., • Familiarity with AI data patterns including embedding generation, vector similarity search, and data preparation for model training., • Experience with containerization technologies like Docker and Kubernetes for data service deployment., • Strong advocate for data quality, testing methodologies, and CI/CD pipelines for data platform development., • Solid understanding of data structures, algorithms, and distributed systems design principles., • Excellent communication and collaboration skills, with ability to work effectively with both technical and business stakeholders. Bonus Points • Understanding of performance marketing concepts, campaign optimization strategies, and marketing attribution models., • Experience with vector databases (Pinecone, Weaviate, Chroma) and embedding pipeline optimization., • Real-time data streaming experience with sub-second latency requirements for campaign optimization., • Machine learning model deployment and MLOps experience in production environments., • Open-source contributions to data engineering, AI, or marketing technology projects. Additional information About Publicis Performics: Are you ready to re-invent digital marketing? At Performics, we’re accelerating the great missions of our clients in the ever-evolving world of Social engine marketing, programmatic, social media, Commerce and affiliates. If you’re ready to move at the speed of Google, Facebook, and Amazon, have an entrepreneurial spirit, get excited about finding smarter ways to do things, and demand performance for your clients, we’d love to meet you. We’ll give you the tools, support, and freedom to lead, innovate, and grow. We hire exceptional people for our global headquarters in the US alongside major cities across the world. Our international presence spans 57 markets (and growing) including regional hubs in London, Dubai, and Singapore. Our Publicis Groupe motto “Viva La Différence” means we’re better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent. Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off. If you require accommodation or assistance with the application or onboarding process specifically, please contact . All your information will be kept confidential according to EEO guidelines. Compensation Range: $132,715.00 - $208,840.00 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 04/01/2026. #LI-MB5 #DNI

Cloud Data Architect / Banking / Financial Domain. Lead enterprise data architecture and data warehousing (DW) strategy, designing scalable data models, database structures, and high-performance data engineering solutions. Building solution architecture for business flows implementation for cloud jo

At Franklin Templeton, we're advancing our industry forward by developing new and innovative ways to help our clients achieve their investment goals. Our dynamic firm spans asset management, wealth management, and fintech, offering many ways to help investors make progress toward their goals. Our talented teams working around the globe bring expertise that's both broad and unique. From our welcoming, inclusive, and flexible culture to our global and diverse business, we provide opportunities to help you reach your potential while helping our clients reach theirs. Come join us in delivering better outcomes for our clients around the world! The Head of Data Science will lead the development of a globally scalable, AI-enabled data science capability within Investment Technology Solutions (ITS), delivering advanced analytics and machine learning solutions that directly enhance investment outcomes across asset classes. Reporting to the Head of ITS, this role will bridge front-office investment teams and enterprise technology-ensuring that data science capabilities are platform-based, industrialized, and embedded into portfolio construction, risk management, and investment operations workflows. The mandate combines three core objectives: Deliver measurable impact to investment performance and risk management. Build and scale an enterprise-grade data science and AI platform. Establish a globally collaborative operating model aligned to ITS strategy. Key Responsibilities Investment-Focused Delivery • Partner closely with CIOs, Portfolio Managers, and Research Heads to translate investment challenges into scalable analytical solutions., • Develop and productionalize alpha signals, risk models, optimization engines, liquidity analytics, and scenario modelling capabilities., • Ensure analytics are embedded within portfolio construction, trading, and risk systems (e.g., Aladdin, Wall Street Office, Axioma or equivalent platforms)., • Drive quantifiable improvements in performance attribution, risk-adjusted returns, drawdown management, and portfolio efficiency. Data Science Platform & Architecture, • Design and implement a robust, cloud-enabled data science platform supporting:, • Research and experimentation environments, • Feature stores and reusable signal libraries, • Model development, validation, and testing frameworks, • MLOps and model lifecycle management, • Deployment pipelines into investment and risk platforms, • Ensure architecture supports cross-asset reuse, security, auditability, and regulatory compliance., • Align platform standards with broader ITS data and infrastructure strategy. Enterprise & Cross-Functional AI Enablement, • Collaborate with Risk, Finance, Operations, and Distribution teams to extend AI capabilities where aligned to investment technology priorities., • Contribute to enterprise AI initiatives including stress testing automation, operational intelligence, and advanced reporting analytics., • Represent ITS Data Science in enterprise AI governance and model risk forums., • Promote responsible AI principles including explainability, transparency, and bias mitigation. Organizational Build & Global Scale, • Establish and scale a high-performing global data science organization embedded within ITS., • Develop a federated delivery model supporting regional investment teams across market hours., • Create clear differentiation between quantitative research, data science, AI engineering, and ML platform engineering roles., • Implement strong talent development pathways to build deep capital markets and vendor platform expertise. Product Mindset & Value Realization, • Operate data science as a product capability, with defined roadmaps, prioritization frameworks, and measurable value tracking., • Establish adoption metrics and performance KPIs for all deployed solutions., • Balance near-term market support needs with longer-term platform innovation. Governance & Controls, • Implement robust model validation, monitoring, and lifecycle management processes., • Ensure compliance with model risk management standards and regulatory expectations., • Maintain data lineage transparency and documentation standards aligned with ITS governance frameworks. Candidate Profile Experience • 10+ years' experience in asset management, capital markets, or quantitative investment technology environments., • Demonstrated leadership building and scaling data science or quantitative analytics teams within a technology-enabled operating model., • Proven track record delivering production-grade AI/ML solutions embedded in investment platforms., • Experience operating in regulated financial services environments. Capital Markets Expertise, • Deep understanding of:, • Multi-asset portfolio construction and optimization, • Risk modelling and stress testing, • Market structure, liquidity dynamics, and execution considerations, • CFA designation strongly preferred., • Advanced degree (PhD/MSc) in quantitative finance, statistics, mathematics, computer science, or related discipline desirable. Technical & Platform Expertise, • Strong command of statistical modelling, machine learning, and time-series analysis., • Experience integrating alternative datasets into investment workflows., • Familiarity with cloud-native data architectures, distributed compute, and MLOps frameworks., • Experience working with enterprise investment platforms (e.g., Aladdin, Wall Street Office, Axioma) strongly preferred. Leadership & Operating Style, • Technology-forward leader with strong investment credibility., • Product-oriented and outcome-driven., • Comfortable operating in a global, matrixed ITS organization., • Strong communicator capable of influencing senior investment and technology stakeholders. Franklin Templeton offers employees a competitive and valuable range of total rewards-monetary and non-monetary - designed to support their well-being and recognize their time, talents, and results. Along with base compensation, employees are eligible for an annual discretionary bonus, a 401(k) plan with a generous match, and recognition rewards. We also offer a comprehensive benefits package, which includes a range of competitive healthcare options, insurance, and disability benefits, employee stock investment program, learning resources, career development programs, reimbursement for certain education expenses, paid time off (vacation / holidays / sick / leave / parental & caregiving leave / bereavement / volunteering / floating holidays) and a motivational wellbeing program. We expect the annual salary for this position to range between $208,000 - $270,000, depending on location and level of relevant experience, plus discretionary bonus. #EXECUTIVE #LI-Hybrid Experience our welcoming culture and reach your professional and personal potential! Our culture is shaped by the variety of perspectives and experiences brought by talent from around the world. Regardless of your interests, lifestyle, or background, there's a place for you at Franklin Templeton. We provide employees with the tools, resources, and learning opportunities to help them excel in their career and personal life. By joining us, you will become part of a culture that focuses on employee well-being and provides multidimensional support for a positive and healthy lifestyle. We understand that benefits are at the core of employee well-being and may vary depending on individual needs. Whether you need support for maintaining your physical and mental health, saving for life's adventures, taking care of your family members, or making a positive impact in your community, we aim to have your needs covered. Learn more about the wide range of benefits we offer at Franklin Templeton. Highlights of our benefits include: • Three weeks paid time off the first year, • Medical, dental and vision insurance, • 401(k) Retirement Plan with 85% company match on your pre-tax and/or Roth contributions, up to the IRS limits, • Employee Stock Investment Program, • Tuition Assistance Program, • Purchase of company funds with no sales charge, • Onsite fitness center and recreation center*, • Onsite cafeteria* *Only applicable at certain locations Learn more about the wide range of benefits we offer at Franklin Templeton Franklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation. If you believe that you need an accommodation or adjustment to search for or apply for one of our positions, please send an email to . In your email, please include the accommodation or adjustment you are requesting, the job title, and the job number you are applying for. It may take up to three business days to receive a response to your request. Please note that only accommodation requests will receive a response.

If you have 4+ years of commercial software development experience and are proficient in any of the following areas: React & Node, React & Python, Node & Python, Swift & SwiftUI, Unreal Engine, WordPress, Svelte & TypeScript, Svelte & Node, Svelte & Python, Golang, Shopify & JavaScript, Rust, MLOps,

You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine

The mission () of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. About the Role, Mission or Department Overview The New AI Products and Platforms mission is a central hub for new, high-ambition AI opportunities and services at The Times. We are hiring a Senior Software Engineer to help build the backend services and infrastructure that will form our internal AI Platform. This platform will enable teams across the company to build, deploy, and manage applications that use large language models (LLMs) to advance our journalism and our business. You will report to the Director of AI Platforms and work with a team of engineers, designers, product and project managers, data scientists, and newsroom stakeholders to make investments in AI possible across The Times. This is a hybrid position based in our New York City headquarters. You can typically expect to come into the office two days per week. Responsibilities: * Design, build, and maintain scalable and reliable backend services and APIs for a central platform used by teams building AI applications across our journalism and our business. * Take ownership of core platform components and integrations, including systems for prompt and workflow management, evaluation and tracing, and monitoring for cost, usage, and performance. * Build and operate vector database and retrieval infrastructure to support search and AI-powered discovery experiences. * Design and develop retrieval-augmented generation (RAG) pipelines and agentic workflows that connect our content, data, and AI models. * Build orchestration layers for multi-step AI workflows, managing the coordination of LLM calls, retrieval, and business logic. * Develop the infrastructure that enables teams to create and manage their AI applications, complete with metadata, observability, and access controls. * Architect and implement data pipelines and storage solutions to support our AI systems. * Write high-quality, maintainable, and well-tested code, primarily in backend languages like Python or Go. * Ensure a high degree of code quality, security, and system observability. * Collaborate with editorial, product, ML, and data teams to translate requirements into platform capabilities. * Review code written by other software engineers on the team and provide feedback. * Contribute to and advocate for robust testing strategies to ensure service reliability. * Be a mentor to other software engineers to enable their growth. * Demonstrate support and understanding of our value of journalistic independence () and a strong commitment to our mission to seek the truth and help people understand the world. Basic Qualifications: * 5+ years of software engineering experience, with a strong focus on backend development. * 5+ years of experience in one or more backend programming languages such as Python or Go. * 5+ years of experience designing, building, and operating distributed systems and APIs at scale. * 1+ years of experience building applications with Large Language Models (LLMs) and familiarity with the surrounding ecosystem (e.g., orchestration, retrieval-augmented generation). Preferred Qualifications: * Experience with MLOps, including building systems for model and prompt evaluation, tracing, and monitoring. * Experience with vector databases and embedding models or services. * Experience with information retrieval or search systems. * Experience building RAG systems or agentic AI workflows. * Experience with prompt engineering and prompt management systems. * Familiarity with containerization and orchestration technologies like Docker and Kubernetes. * Experience with infrastructure as code (e.g., Terraform, CloudFormation). * Deep experience with cloud computing platforms like GCP or AWS and their associated services (e.g., Cloud Functions, S3, RDS). * Experience with event-driven architectures and technologies such as Kafka or Pub/Sub. * Familiarity with LLM orchestration and agentic frameworks. * Experience with GraphQL. This role requires limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables. #LI-Hybrid REQ-019837 The annual base pay range for this role is between: $140,000 — $160,000 USD For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs. For roles outside of the U.S., information on benefits will be provided during the interview process. The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply. We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available here () . The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email . Emails sent for unrelated issues, such as following up on an application, will not receive a response. The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For information about The New York Times' privacy practices for job applicants click here () . Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site () . The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times. If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at . You can also file a report with the Federal Trade Commission () or your state attorney general () .

The ideal candidate will have a strong background in machine learning, software engineering, MLOps, AWS, API, and prototype development. Are you passionate about AI, machine learning, and software engineering? Do you have a knack for developing prototypes that could potentially revolutionize the tec

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at you'll do As a Staff Software Engineer on the Identity & Access Management (IAM) team, you will be a primary architect of CoreWeave's IAM strategy as we rapidly expand the platform. You will leverage your deep expertise in identity systems to design, extend, and harden a platform that secures our high-performance cloud infrastructure. This is a high-impact leadership role where you will balance rapid execution with the long-term technical vision necessary to meet the demands of our global enterprise customers. About the role • Technical Strategy & Vision: Partner with Product and Engineering Leadership to translate complex requirements into a multi-year technical roadmap that balances immediate business needs with long-term architectural integrity, • System Architecture: Lead the design and implementation of high-throughput, low-latency distributed systems for authentication and authorization across all CoreWeave services, • Platform Evolution: Architect customer-facing experiences for identity lifecycle management, IdP integration (SAML/OIDC), and granular permissioning models, • Engineering Excellence: Champion a security-first mindset across the organization, establishing rigorous standards for code quality, design reviews, and threat modeling, • Operational Leadership: Elevate the team's operational maturity by defining SLOs, enhancing deep-stack observability, and driving automation to eliminate systemic toil, • Technical Mentorship: Act as a force multiplier by mentoring Senior engineers and fostering a culture of continuous learning and high-performance engineering, • Cross-Functional Influence: Drive alignment on critical security initiatives across the broader engineering organization, articulating complex technical trade-offs to stakeholdersWho you are, • 10+ Years of Experience building and operating large-scale distributed systems in a production environment using one or more of Go, TypeScript, or React, • 5+ Years of IAM Domain Expertise: Proven track record of developing identity products and a deep mastery of standards including OIDC, OAuth2.0, SAML, and JWT, • Technical Leadership: Demonstrated experience leading large, cross-functional projects from inception to planet-scale deployment with measurable business impact, • Cloud-Native Mastery: Deep understanding of Kubernetes, microservices architecture at scale, and advanced CI/CD patterns, • Enterprise Security Acumen: Solid knowledge of the security, compliance (SOC2, HIPAA, etc.), and governance needs of sophisticated enterprise customers, • Strategic Communication: Superb ability to synthesize ambiguous requirements into clear technical designs and communicate trade-offs to both executive and technical audiences, • Analytical Problem Solving: Expert-level ability to debug complex, intermittent issues within distributed environmentsPreferred, • Architectural Transformation: Experience leading the decomposition of monolithic architectures into high-performance microservices, • AI-Augmented Development: Familiarity with leveraging AI agents (e.g., Claude, Cursor) to accelerate the software development lifecycle, • Emerging Tech Knowledge: Familiarity with AI/ML workloads, GPU-based infrastructure, and the unique security challenges of MLOps at scale, • Policy-as-Code: Experience with modern authorization frameworks such as Open Policy Agent (OPA) or Cedar Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. • You love to solve complex problems and build high-scale, low-latency distributed systems., • You're curious about how to evolve cloud platforms and scale infrastructure globally for the next generation of AI workloads., • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences, • Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionCareer Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus equity.We are the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis. Our breakthrough DeepStain™ and ReStain™ technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities. About the Role We are seeking an experienced Senior ML Engineer to join our team who owns the representation-learning and generative modeling stack that powers Pictor’s virtual staining. The ideal candidate will have deep expertise in Machine Learning and building generalizable, production-ready models, and evaluations that stand up in clinical workflows. Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative improvements Develop and advance ML models leveraging Vision Transformers, Diffusion Models, GANs, and generative architectures for image-to-image translation tasks Apply classical and learned image enhancement, denoising, and semantic segmentation techniques to histopathology imaging challenges Explore image representation in latent space for efficient, high-fidelity virtual staining Stay current with state-of-the-art research, identifying opportunities to apply novel techniques to PictorLabs’ product roadmap Collaboration Collaborate with ML Engineering and software teams to translate research prototypes into production-ready systems meeting latency and throughput requirements Work with large-scale pathology datasets to train, validate, and fine-tune foundation models and custom architectures Partner with software engineers, data scientists, and pathology domain experts to integrate research into production systems Contribute to best practices for data engineering, data governance, and data quality across research and production pipelines Leverage AI coding and ideation tools to accelerate research velocity and prototype new approaches Required Qualifications PhD (preferred) or Master’s degree in Computer Science, Electrical Engineering, or a related field Deep expertise in computer vision and deep learning, with hands-on experience in one or more of: Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement and denoising Expert proficiency in Python and PyTorch and other scientific computing environments a plus Strong mathematical foundation in linear algebra, probability, and optimization Experience with large-scale model training, distributed computing, or cloud ML infrastructure (AWS, GCP, or Azure) Knowledge of handling large scale image data, data version controls, model registry, has experience dealing with ML lifecycles Experience with feature search, data balancing, and data curation pipelines. Knowledge of software engineering best practices including version control (Git) and CI/CD pipelines Excellent collaboration and communication skills, with the ability to work effectively in a fast-paced, cross-functional international startup environment Extensive use of AI tools for coding, optimization, and ideation Preferred Qualifications Experience with medical imaging, digital pathology, or whole slide image (WSI) processing Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and the Hugging face ecosystem Background in generative models and fine-tuning of foundation models Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton Experience with hosting computer vision model inference on NVIDIA DGX Spark. Understanding of FDA regulatory requirements for AI/ML in medical devices Experience with MLOps tools (MLflow, Kubeflow) and model versioning practices Develop tools and frameworks to streamline ML research workflows, experimentation, and reproducibility What We Offer The opportunity to work on technology that directly improves patient outcomes and transforms clinical diagnostics, alongside a talented team of engineers and researchers pushing the boundaries of AI in healthcare. You will have the freedom to pursue high-impact research while seeing your work deployed at scale in real clinical environments.

Job Description WHO WE ARE At Trustly, we're building a smarter, faster, and more secure financial future by revolutionizing the world of payments. As a global leader in Open Banking Payments, we are establishing Pay by Bank as the new standard at checkout, providing unparalleled freedom, speed, and ease to millions of consumers and merchants worldwide. Our Ambition: To build the world’s most disruptive payment network and redefine what the payment experience should feel like. Trustly is a global team of innovators, collaborators, and doers. If you are driven by a strong sense of purpose and thrive in a dynamic, entrepreneurial, and high-growth environment, join us and be part of a team that’s transforming the way the world pays. About the team The Data team at Trustly is the backbone of our decision-making and product innovation. We are a global, multidisciplinary collective of Software Engineers, Data Engineers, Machine Learning Specialists, Scientists, and Analysts who believe that data is more than just rows and columns - it is the fuel for a more transparent financial ecosystem. We operate at the intersection of high-scale engineering and deep financial intelligence. Our team processes millions of transactions in real time, turning complex Open Banking signals into seamless payment experiences. We pride ourselves on a culture of intellectual curiosity, technical excellence, and extreme ownership. About the role Reporting directly to the Global CTO, the Chief Data Officer (CDO) will serve as Trustly’s most senior data executive, responsible for the strategy, architecture, and execution of the company’s global data program. This is a broad, high-impact mandate: you will own the data platform that underpins our products and operations, the datasets that drive business decisions, the analytics capabilities that serve our internal and external stakeholders, and the machine learning and artificial intelligence initiatives that will define Trustly’s competitive edge in the years ahead. You will be a key member of the extended C-suite, partnering with the CTO, CPO, CFO, and business leaders across the company to turn data into product, revenue, and risk advantage. You will set the vision for how Trustly thinks about data as a first-class asset, while building and leading the engineering, science, and analytics teams to deliver on that vision at scale. What you’ll do Global Data Platform & Infrastructure • Define and execute the strategy for Trustly’s global data platform, including data lakehouse architecture, streaming and batch pipelines, data cataloging, observability, and correctness., • Own the end-to-end data engineering function, ensuring reliable, scalable, and cost-efficient data infrastructure that serves product, analytics, risk, and compliance use cases across all geographies., • Drive the evolution of Trustly’s data stack, making deliberate build-vs.-buy decisions and managing a best-in-class ecosystem of data tools and vendors., • Establish and enforce data standards, taxonomy, and governance frameworks that enable self-service access without sacrificing data quality or integrity., • Identify, develop, and steward Trustly’s highest-value proprietary datasets, including transaction-level payment data, bank account intelligence, consumer behavioral signals, and merchant performance data., • Define a long-term data strategy that turns Trustly’s unique data assets into durable competitive advantages - for risk management, product differentiation, and potential new revenue streams., • Oversee data governance, data lineage, and master data management programs, ensuring a single source of truth across the organization., • Champion data quality and reliability as foundational standards, implementing frameworks that ensure confidence in data used for business-critical decisions., • Collaborate with Legal, Compliance, and Privacy teams to ensure responsible and lawful use of data across all jurisdictions, including under GDPR, CCPA, and relevant open banking data regulations.Analytics & Business Intelligence, • Build and lead a world-class analytics function that delivers actionable insight to business stakeholders across Product, Finance, Risk, Operations, Sales, and the C-suite., • Establish a self-service analytics culture, enabling non-technical teams to access, explore, and act on data confidently and safely., • Own the development of key performance metrics, executive dashboards, and board-level reporting, ensuring data is accessible, accurate, and impactful at every level of the organization., • Lead Trustly’s machine learning and AI program, setting the technical vision and organizational structure for applied ML across fraud detection, risk scoring, payment success optimization, personalization, and operational automation., • Build and grow a team of machine learning engineers and data scientists, establishing rigorous practices for model development, validation, deployment, and monitoring., • Drive the responsible adoption of generative AI and large language models where they can create meaningful productivity or product value, with appropriate governance and oversight., • Define and maintain Trustly’s AI ethics and model risk management framework, ensuring fairness, explainability, and regulatory compliance across all deployed models., • Recruit, develop, and lead a high-performing, global team of data engineers, analytics engineers, data scientists, ML engineers, and BI analysts., • Foster a data-driven culture across Trustly, partnering with senior leaders to raise the overall level of data literacy and analytical rigor in decision-making., • Represent Trustly’s data capabilities externally with partners, regulators, and the broader industry, where relevant., • Contribute to the broader technology leadership team, collaborating with the CTO and peer executives on cross-cutting strategy and resource allocation.Who you are, • 15+ years of progressive experience in data engineering, data science, analytics, or a closely related technical discipline, with at least 5 years in a senior leadership role., • Demonstrated success building and scaling data platforms and teams in high-growth, data-intensive technology or financial services environments., • Deep expertise in modern data architecture: cloud data warehouses (Snowflake, BigQuery, Redshift), data lakes, streaming platforms (Kafka, Flink), and orchestration frameworks., • Hands-on understanding of machine learning and AI methodologies, with experience overseeing applied ML programs in production at scale., • Strong command of data governance, data quality, and regulatory compliance requirements relevant to financial services and global data privacy law (GDPR, CCPA)., • Track record of translating complex data strategy into business outcomes, with the communication skills to influence C-suite and Board-level audiences., • Experience managing geographically distributed, cross-functional data teams in a global organization., • Prior CDO, VP of Data, or equivalent executive title at a technology company, payments platform, or regulated fintech., • Experience in payments, open banking, financial services, or another highly regulated, data-rich industry., • Familiarity with transaction-level payment data, fraud modeling, credit risk scoring, or consumer behavioral analytics in a financial context., • Proven experience building or scaling ML platforms and MLOps infrastructure for production model deployment and monitoring., • Experience with generative AI and large language model deployment in an enterprise context., • Advanced degree (M.S. or Ph.D.) in Computer Science, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience. LOCATION & WORKPLACE This is a hybrid role based out of our San Francisco or New York hubs. We look for team members to be in the office Tuesday through Thursday. SALARY RANGES IN US-BASED ROLE POSTING Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Recruiters can share more information with applicants about the specific salary range for preferred locations during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only and do not include other perks and benefits. WHAT WE OFFER At Trustly, you will have the chance to solve meaningful challenges alongside some of the brightest minds in FinTech. Together, we are shaping the future of payments in an environment that celebrates curiosity, collaboration, and innovation. You will be challenged and empowered to grow, making a real impact every step of the way. Our team is as diverse as the global footprint we serve, with colleagues across Silicon Valley, the U.S., Canada, Brazil, Europe, and beyond. At Trustly, we foster a workplace where everyone feels they belong—a place where teamwork thrives, ideas flourish, and we never forget to have fun along the way. We offer innovative perks and benefits packages that include: • Flexible paid time off & generous PTO accrual plans, • Comprehensive medical, dental, vision, and other insurances, • FSA & HSA plans for medical and dependent care, • Home office set-up allowance, • Internet stipend, • Retirement plan match for 401k and RRSP At Trustly, we embrace and celebrate diversity of all forms and the value it brings to our employees and customers. We are proud and committed to being an Equal Opportunity Employer and believe an open and inclusive environment enables people to do their best work. All decisions regarding hiring, advancement, and any other aspects of employment are made solely on the basis of qualifications, merit, and business need. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionCompany Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube. Job Description As Data Science and AI Lead overseeing Platform, Governance, and Delivery for Data Science and AI solutions at AbbVie, you will lead a diverse team of data scientists responsible for designing, executing, and scaling data science solutions across the enterprise. Reporting into Operations Business Insights (OBI), you will establish and execute the vision and roadmap for a robust, agile, and compliant data science platform, ensuring strong governance practices and operational excellence in delivering impactful data science to drive innovation, performance, and agility company wide. Leading a multifaceted team, you will have end-to-end accountability for platform strategy, stakeholder engagement, project delivery, and talent development. You will be expected to set the standard for technical and consulting excellence, foster a culture of continuous learning, and promote effective collaboration within and outside your group, including functional data scientists, business partners, academic collaborators, and technology leaders. Key Responsibilities: • Provide leadership in developing, maintaining, and governing the data science platform to enable secure, scalable, and compliant analytics throughout AbbVie’s global operations, spanning Supply Chain, Quality, Procurement, Manufacturing, and Science & Technology., • Oversee the delivery lifecycle from requirements discovery, solution design, and modeling through deployment and monitoring of productionized data science applications, studies, and proofs of concept by leading teams of diverse data scientists and analysts., • Lead and champion best practices in data governance, stewardship, and quality, ensuring compliance with regulatory and organizational standards (e.g., GxP, master data management, data lineage, model validation, etc.)., • Push forward with semantic engineering and agentic engineering, best practices and capability delivery to support more advanced AI use cases. Oversee architects involved in semantic and agentic engineering and solutioning., • Develop and promote advanced analytics capability, including supervised/unsupervised machine learning, deep learning, AI/ML platform services, and the enablement of novel AI applications such as RAG and semantic layering for human-in-the-loop systems., • Foster strategic partnerships with senior functional leaders, technology stakeholders, and external collaborators to accelerate the transfer of advanced methods into high-value business solutions., • Collaborate on group strategy and roadmap, enable cross-functional GenAI initiatives, and serve as a thought leader for education, awareness, and innovation in enterprise data science., • Ensure robust consulting, communication, and change management plans are in place to drive adoption of data science solutions at all organizational levels, including executive leadership. Required: • Bachelor's Degree with 9 years’ experience; Master's Degree with 8 years’ experience; PhD with 4 years’ experience., • Significant experience leading multi-disciplinary teams delivering enterprise-scale data science platforms and applications, preferably in regulated industries such as pharmaceuticals, life sciences, or healthcare operations., • Deep expertise in data science methods (ML, AI, statistics), modern data engineering (cloud, big data, pipeline orchestration), and business analytics, with mastery of tools such as Python, R, Dataiku, AWS SageMaker, Spark, Tableau, etc., • Demonstrated ability to define and execute governance frameworks for data quality, master data, model lifecycle management, and regulatory compliance., • Extensive consulting and stakeholder management experience, including effective communication of complex technical solutions to executive audiences and cross-functional business partners., • Proven ability to drive innovation (strategy, whitepapers, roadmaps), develop cross-functional partnerships, and lead technology transfer initiatives to embed analytics into core business processes., • Experience mentoring and growing diverse teams, with a focus on inclusion, equity, and continuous learning., • Experience delivering data science solutions in industry (non-academic settings strongly preferred), with demonstrated progression in leadership roles., • Experience with data-driven transformation in Quality, Supply Chain, Procurement, or Central Operations within a large pharmaceutical or life sciences organization, and deep understanding of GxP practices., • Background in technology innovation, MLOps, platform architecture, or boutique/strategy consulting with measurable stakeholder impact. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: * The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this postingbased on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more orless than the posted range. This range may be modified in the future. * We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. * This job is eligible to participate in our short-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission,incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paidand may be modified at the Company’s sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do: We are looking for a highly experienced and strategic Principal Engineer, Observability to lead the architecture, development, and operations of our Observability platform. In this role, you will define how customers monitor, troubleshoot, and operate their AI workloads at scale on CoreWeave. You will work directly with customers and partner closely with engineering leaders across multiple teams to drive a unified Observability experience across CoreWeave products—spanning metrics, logs, traces, and customer-facing insights. About the role: • Lead the Observability strategy and roadmap, ensuring clear alignment with business goals, product direction, and performance/SLA objectives, • Design and implement low-latency, high-scale telemetry pipelines and data stores solutions that power observability across all CoreWeave products, • Build customer-facing experiences—dashboards, alerts, and workflows—that enable rapid troubleshooting and deep insight into AI workloads and platform health, • Drive reliability, durability, and self-healing across the Observability stack, owning key services in production and setting a high bar for operational excellence, • Shape customer experience for visibility by defining standards for metrics, SLOs, and dashboards that expose system performance and reliability in a clear, actionable way, • Analyze production telemetry to identify and prioritize improvements in performance, reliability, and efficiency across the platform, • Act as a trusted advisor to senior leadership, bringing perspective on observability trends and advocating for the right long-term technology investments, • Partner with engineering, infrastructure, and product teams to ensure Observability is deeply integrated into evolving architectures, APIs, and customer features, • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience, • 15+ years of experience building and operating distributed systems at scale, with a strong track record of reliability-focused engineering, • Proven experience leading Observability platform engineering initiatives and delivering products that directly address customer needs, • Strong proficiency in one or more programming languages such as Go, Python, or Rust, and comfort working in large-scale production environments, • Deep understanding of distributed observability systems and telemetry pipelines (e.g., ClickHouse or similar technologies for telemetry at scale), • Strong understanding of cloud-native infrastructure—Kubernetes, scalable architectures, automation, and modern CI/CD and deployment practices, • Excellent analytical and problem-solving skills, including the ability to synthesize ambiguous customer and system signals into clear problem statements and designs, • Exceptional communication and collaboration skills, able to articulate observability strategies, trade-offs, and best practices to both technical and non-technical stakeholders At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $206,000 to $303,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: Mid - Senior Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence:Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. Requirements: Degree in Computer Science, Engineering, Statistics, or a related technical field. Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings. Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems. Strong foundational understanding of algorithmic complexity and data structure optimization. Excellent problem-solving, collaboration, and communication abilities. Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects. Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices. Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team. Ensure all AI implementations are compliant with ethical guidelines and data privacy standards. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Job DescriptionCompany Description VERSANT is a leading force in news, sports and entertainment - home to iconic and trusted brands that inspire, inform, and delight audiences. Our unique combination of content, technology and services enriches the cultural fabric, igniting passions, sparking conversations, and connecting people to what they love most. As an independent, publicly traded company, VERSANT brings together powerhouse cable networks - including USA Network, CNBC, MS NOW (formerly MSNBC), Oxygen, E!, SYFY, and Golf Channel - with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. Together, these businesses reflect our commitment to delivering exceptional experiences across every screen and service. VERSANT is an industry-changing media company fueled by innovation and an entrepreneurial spirit. With a strong foundation and a forward-looking vision, VERSANT empowers creativity, embraces change, and drives connection in an ever-evolving world. Job Description The Data Engineering team is seeking a Senior Data Engineer to help design, build, and scale the modern data platform that powers analytics, data science, and data products across Versant brands. In this role, you’ll collaborate closely with Data Product, Data Science, Analytics, and Engineering teams to deliver reliable, high-impact data solutions used by hundreds of internal users. We're looking for engineers who enjoy hands-on development, take ownership of production systems, and influence implementation through collaboration and technical expertise. Key Responsibilities • Design and implement lakehouse architecture using Delta Lake, including medallion pipeline patterns (Bronze/Silver/Gold), schema enforcement, and time travel, • Build and operate batch and real-time ingestion pipelines leveraging Databricks Auto Loader, Structured Streaming, and Change Data Capture patterns, • Optimize performance and manage costs through FinOps strategies, including cluster sizing, workload tagging, Spark tuning, and Photon acceleration, • Design, implement, and maintain CI/CD pipelines and orchestration workflows using Databricks Workflows, Delta Live Tables, and tools such as Airflow, • Provide technical mentorship through code reviews, pairing and knowledge sharingQualifications, • Bachelor’s degree in Computer Science, Data Engineering, or equivalent practical experience, • 5+ years of experience building production-grade data pipelines in cloud environments using Spark-based platforms (e.g., Databricks, EMR, Dataproc, open-source Spark), • Expertise in PySpark, SQL, and Spark-based data processing, with experience operating pipelines at scale in production, • Hands-on experience building batch or streaming production data pipelines using distributed processing frameworks (e.g., Spark, Flink) and query engines such as Presto, • Proficiency with orchestration tools such as Apache Airflow or Dagster, with hands-on experience in CI/CD, monitoring, alerting, and data quality for production systems, • Experience working with modern data architectures, including event-driven and distributed systems, • Proficiency with Git and collaborative development workflows, • Build and operate batch and real-time ingestion pipelines using Spark based batch and streaming patterns (e.g., Structured Streaming, CDC), with experience on Databricks or comparable platforms, • Experience building Lakehouse platforms and medallion pipelines in Databricks, • Familiarity with Unity Catalog, data governance, and compliance frameworks (e.g., PCI), • Hands-on experience with CI/CD pipelines, orchestration tools, and infrastructure-as-code, • Experience with Lakeflow Spark Declarative Pipelines (SDP), MLflow, feature stores, and MLOps practices, • Background in media and entertainment data (e.g., video metadata, ad tech, audience analytics), • Experience working with large-scale analytical datasets (e.g., event logs, clickstream data, audience metrics), • Comfortable using AI-assisted development tools (e.g., ChatGPT), • Passion for clean, reliable, and scalable data systems, • Strong communication and collaboration skills, • Ability to balance near-term delivery with thoughtful technical design, • Curiosity and a growth mindset, • Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week from our NYC office., • Salary: $140,000 - $160,000. This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other benefits and perks., • As part of our selection process, candidates may be required to attend an in-person interview with a VERSANT employee in New York. VERSANT's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law., • VERSANT is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.

Job Description Do you want to be part of the core team that is building the next one-of-a-kind tech companies that can potentially change your career's trajectory?! We are striving to build the future of AI for consumer enterprises, and our founders need your help as we are growing. Come join us and leave your mark! Our founders are looking for a highly ambitious and highly technical Head of Technology to lead the strategy, development, and integration of AI systems across all layers of the AI stack. This senior executive role requires deep technical expertise in both AI/ML and full-stack development, combined with strong leadership, strategic vision, and business acumen. They are familiar with startup environments and bridge the gap between technical teams and business stakeholders to drive innovation and deliver robust, scalable, and ethical AI-powered products. RESPONSIBILITIES • Hands-on Technical Implementation, Architecting, and Oversight, • Design and implement end-to-end systems: Guide and implement the AI-Native platform of Verneek, as well as its solution suite, fullstack: from backend infrastructure to data ingestion, model training and inference, to front-end interfaces and applications., • Architect scalable solutions: Ensure the development of robust, scalable, secure, and maintainable full-stack systems that can deploy and run AI models in production at scale., • Evaluate and select technology: Assess and recommend the use of appropriate AI frameworks (e.g., PyTorch, TensorFlow), cloud platforms (e.g., AWS, Azure), and other tools and vendors., • Enforce best practices: Drive and enforce coding standards, technical architecture patterns (e.g., microservices), and quality control mechanisms., • Strategic leadership and overall vision, • Define and execute the technology strategy: Set the vision, roadmap, and strategic priorities for how Verneek’s fullstack technologies will create business value, improve products, and drive operational efficiency., • Align with business objectives: Collaborate with senior leadership and product teams to translate business needs into technical specifications and viable AI solutions., • Team leadership and management, • Manage projects: Oversee project planning, resource allocation, and budget management to ensure successful, on-time, and high-quality delivery., • Build and mentor teams: Recruit, develop, and manage high-performing teams of Software/AI/ML engineers, full-stack developers, and MLOps specialists, and beyond., • Foster a culture of innovation while delivering quickly: Encourage experimentation, continuous learning, and adaptability to emerging technologies and trends. Requirements • Advanced hands-on technical expertise: Demonstrated hands-on expertise in both AI/ML engineering (including LLMs, computer vision, NLP, etc.) and modern full-stack development as an individual contributor., • Experience with cloud and MLOps: Proficiency with cloud environments (AWS, GCP, Azure) and scaling MLOps for model training, deployment, inference, and monitoring., • Leadership experience: Proven track record of leading and managing engineering or AI/ML teams., • Strategic thinking: Ability to develop a long-term technical vision and align it with overall product and business strategy., • Excellent internal and external communication: The ability to communicate complex technical concepts to both technical and non-technical audiences, including executive leadership and Verneek partners., • Startup Experience:. Prior track record of having helped built series of technologies at a deeply technical startup. MINIMUM QUALIFICATIONS • Bachelor’s Degree in CS/CE/AI other technical fields, • Work authorization in the USA at the time of hire At Verneek, we are very determined to build a company that promotes diversity of thought that comes from the diversity of the individuals on the team! Candidates from any gender identity, race, color, religion, sexual orientation, national origin, veteran, or disability status are highly encouraged to apply. Benefits Stellar medical, dental, vision, disability, and life insurance Daily private Chef lunch, curated to personal diets Transportation Benefits 401K matching contributions Flexible PTO Visa/Green Card Sponsorship Career growth support through sponsoring learning opportunities and mentorship About Verneek Verneek is an early-stage deep-tech AI startup, based in the NYC area, founded by a team of leading AI research scientists and backed by a group of world-renowned business and scientific luminaries. Our mission is to build the most helpful AI for anyone, anywhere, at anytime. We are obsessed with what we do and we have fun doing it. Read more about verneek here: and make sure to watch all our introductory videos and yearly recaps here: . Verneek Culture It’s often hard to put “culture” into words, perhaps you can get a visual sense of our culture here: . We all obsessively love what we do, care about each other, share all sorts of meals together, celebrate all kinds of events together, and work tirelessly with the excitement of making a difference through AI innovation. We are enjoying the journey, and going through all the ups and downs together. Although we have come a very long way in setting the foundations of our unique company, but we still have ways to go and you can help shape our culture! The core Verneek team plays a crucial role in further shaping the culture of the company moving forward. We are looking for highly ambitious and tremendously driven individuals who can take the lead in driving various aspects of the company, and help us shape its lasting impact. Annual Salary Range: [tbd]

Job Description Solution Director: Data & AI Location: East Coast (NY/NJ, Atlanta, Charlotte, or South Florida) Who We Are AND Digital is a tech company dedicated to accelerating digital delivery and closing the digital skills gap. Since 2014, we have supported organisations in building better digital products and stronger digital teams. We believe our work should always create a remarkable impact for our clients. Through our regional offices, known as ‘Clubs,’ we build strong relationships with our partners, ensuring they are prioritised by teams located nearby. This unique model has driven success for both our clients and ourselves, reflected in our remarkable organic growth since 2014. Today, we are over 1,300 people strong, with Clubs across the UK, Europe, and the USA—and plans for global expansion in the coming years. Join us and help fulfil our mission to close the world’s digital skills gap. Solution Director – Data & AI As a Technical Solution Director within our central Practice Area, you will play a pivotal role in shaping and driving the growth of AND Digital’s Data & AI business. Reporting directly to the US President, you’ll define and execute our go-to-market strategy, build strong ecosystem partnerships, and guide solution delivery through AND’s unique club model. Acting as a senior advisor to clients, you will design and lead the delivery of transformative enterprise-grade Data & AI solutions, leveraging deep expertise across AWS, Snowflake, and other modern data platforms. As part of a rapidly scaling US operation—growing over 400% year-over-year—you’ll collaborate with global powerhouses and C-Suite leaders across industries such as Financial Services, Travel, and beyond. In addition to driving client success, you’ll help shape AND Digital’s AI capability across North America, fostering technical excellence and growing internal capability to meet the expanding demand for intelligent data-driven transformation. What You’ll Do 1. Engage with clients • Act as a trusted advisor to C-suite stakeholders (CTO/CDO/CPO)., • Build relationships that uncover client challenges and opportunities., • Show the art of the possible in Data & AI, connecting innovation to measurable outcomes. 2. Shape solutions • Translate complex business needs into compelling, value-driven Data & AI solutions., • Guide teams to deliver against vision and ensure robust, outcome-focused delivery., • Support business case development and pre-sales. 3. Technical & Delivery Oversight • Client-facing AI architecture, technology-agnostic solutioning (AWS, Google, Microsoft) and technical delivery oversight - The gate keeper for all things AI., • Oversee architecture quality and delivery outcomes across multiple engagements., • Ensure projects align to measurable client KPIs and business results., • Drive automation, MLOps, and engineering best practices through coaching and governance. 4. Drive growth • Identify, qualify, and shape new opportunities across AND., • Partner with Client Teams to develop deals, coach others, and influence outcomes., • Collaborate closely with partners (e.g. AWS) to co-sell and co-market solutions., • Help define go-to-market strategy and reusable accelerators for AI and data offerings., • Represent AND Digital’s AI capability in the market externally, contributing to proposals, events, and industry forums., • Achieve a leveraged revenue impact target of around $2.5m+. 5. Lead our propositions and Practice IP • Own and evolve AND’s Data & AI proposition, partnerships, and thought leadership., • Be a visible leader in the Data & AI community—driving consistency, quality, and innovation., • Develop training and mentoring to grow internal capability. 6. Lead and inspire • Provide senior oversight, coaching, and technical challenge across engagements., • Champion excellence and act as a role model for proactive, positive leadership., • Mentor AI and data engineers across the US and nearshore teams., • Shape the foundation of AND Digital’s AI practice in the US., • Contribute to US recruitment, onboarding, and capability growth across AI, Data and Platform Engineering, as well as more broadly. Key Evaluation Criteria • Minimum 2+ years in recent leadership roles within AI OR a hands-on, client facing individual who is looking for a step up., • Has led teams shipping AI-driven software into production with measurable impact., • Balances deep technical fluency with strong client-facing and commercial ability., • Demonstrated experience embedding AI into client products or workflows., • Has worked with hyperscale clientele and/or consultancies., • Experienced in architecture reviews, code quality, and system design governance., • Proven success in consulting or digital delivery environments, ideally bridging product and services., • Comfortable in fast-paced, outcome-based commercial models (fixed-price and outcome-driven)., • Experienced in coaching, scaling, and enabling teams across multiple geographies., • 10 to 15 years in technology or consulting, with 6+ years in Data and AI delivery., • Proven record of leading enterprise AI or data programs for Fortune 1000 or mid-market clients., • Strong technical background in AWS, Snowflake, and other modern data platforms., • For example, able to lead solution architecture and delivery across AWS AI technologies - including Bedrock, SageMaker, and Connect, whilst maintaining a technology-agnostic approach when required., • Strong commercial and stakeholder management skills., • Excellent communication and storytelling ability - credible with both engineers and executives., • Must reside on the East Coast (NY/NJ, Atlanta, or South Florida). Why join AND Digital? We have three core values: wonder, share, and delight. These values inform how we work with clients, and our culture: what it feels like to work for AND. We believe collaboration, ambition, curiosity and fun can drive innovation by creating a better environment for problem-solving. By joining AND, we’ll provide: • Opportunities to work on projects with big clients and produce meaningful work that makes a genuine difference to people’s lives., • A “Blended Working” model, meaning you will be able to work in a range of locations from; your home, in your clubhouse, on a client, as well as just a change of scenery., • The benefits of having a small company feel through being part of an autonomous Club, while being able to take in the benefits of a larger organisation., • A dedicated career scrum team, designed to help you reach your career goals and develop the skills you need to be your best self., • A safe environment for you to be yourself and challenge yourself. Equal Opportunities Statement At AND Digital we embrace diversity and are committed to equal opportunities. We are actively recruiting for a diverse and inclusive workforce so want to ensure we do everything we can to support your application. We want you to feel safe and empowered to let us know if you require any adjustments to be made to your application or interview process so please speak to our recruitment team.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at the Role: CoreWeave is seeking a Staff AI Security Engineer to define and operationalize security across our AI ecosystem. This role sits at the intersection of AI/ML, cloud infrastructure, and security engineering. You'll build secure-by-default foundations for AI development, agentic workflows, and enterprise AI adoption, balancing velocity with strong security guarantees. You will also partner closely with enterprise security and IT teams to manage AI-adjacent risks across the corporate environment, including shadow AI, data exfiltration through AI tooling, and SaaS security posture for AI-enabled platforms. What You'll Do: • Design and implement security controls across AI/ML infrastructure, including model artifact storage, data lineage and integrity, model signing and provenance, and ML pipeline security (MLOps/MLSecOps), • Develop AI security policies, standards, and threat models covering model development, training pipelines, data ingestion, inference environments, and agentic systems, • Build security guardrails for agentic workflows: tool access and permissioning, input/output validation, execution boundaries, sandboxing, and auditability of agent actions, • Lead secure adoption of AI tools across engineering, security, operations, and enterprise functions. Evaluate AI vendors, copilots, and integrations. Define policies for data sharing, model usage boundaries, and sensitive data handling in prompts and outputs, • Partner with enterprise security and IT on AI-related risks across the corporate environment, including endpoint posture, corporate identity, and SaaS security for AI-enabled platforms, • Conduct threat modeling and adversarial testing of AI systems, covering prompt injection, data poisoning, model extraction, and backdoored models. Build and maintain a CoreWeave-specific AI threat taxonomy, • 10+ years of experience in security engineering (cloud, application, or infrastructure), • Experience with AI/ML systems: LLMs, training pipelines, inference systems, or MLOps, • Strong, demonstrable experience building and securing large-scale distributed systems, • Strong coding skills in Go, Python, or similar, • Familiarity with Kubernetes, containerized environments, and cloud platforms (AWS, GCP, Azure), • Understanding of AI-specific threats: prompt injection, data leakage, model misuse, supply chain risks in models and datasets, • Track record of driving cross-team technical initiatives and influencing architecture decisions at the org levelPreferred:, • Experience building or securing LLM-based systems, agent frameworks (LangChain, etc.), or AI-powered internal tools, • Background in adversarial ML or red teaming AI systems, • Experience with secure model deployment pipelines or confidential computing / secure enclaves, • Familiarity with identity and access control systems, • Experience in high-performance or GPU-centric environments Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

A global entertainment company in New York City is seeking a Senior Manager, Machine Learning Engineering to lead a team focused on building and operating production ML systems. The ideal candidate will possess over 10 years of experience in machine learning, with a strong proficiency in Python and

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. As a Software Engineer working on platform, you'll design and build the internal backbone that makes Radical AI run: the services, frameworks, deployment primitives, developer workflows, and reliability systems that allow product engineers, scientists, and ML teams to ship faster - without breaking things. This is not a "tickets and toil" DevOps role. We're looking for a strong backend engineer who's spent years building real systems, and now wants to own the platform that makes every team faster.Mission • Build and operate core platform services that power production systems, • Design internal APIs, service patterns, and shared libraries that enable teams to ship quickly and safely, • Own reliability in real-world environments: deployments, failures, observability, incident response, and debugging, • Improve our developer experience: CI/CD, testing workflows, environment management, and self-serve tooling, • Aid in production hardening: rollout strategies, safe migrations, incident playbooks, reliability testing, • Service orchestration primitives: queues, schedulers, retries, idempotency, cancellations, and long-running workflows, • Partner closely with backend, ML, robotics, and science teams to turn platform needs into clean abstractionsAbout you, • 5+ years of experience building backend systems in production environments., • Strong software engineering fundamentals (design, implementation, testing, reliability)., • Fluency in at least one backend language: e.g., Python, Go, Rust, TypeScript, etc., • Experience with Infrastructure-as-Code (IaC) tools such as Terraform or CloudFormation., • Comfort operating services in the real world: on-call, debugging, performance bottlenecks, failure modes., • Experience with CI/CD tools (e.g., GitHub Actions, Jenkins, CircleCI) and integrating security checks within them., • Ability to build clean abstractions that other engineers actually want to use., • Solid understanding of Linux/Unix systems administration., • Experience with monitoring, logging, and tracing tools (Datadog, Prometheus, Grafana, Splunk, ELK, etc.)., • Understanding of network security concepts (e.g., firewalls, VPNs, network segmentation, Tailscale)., • Strong ownership and bias toward action: you find the sharp edges and sand them down.Pluses, • Exposure to machine learning lifecycles or MLOps concepts., • Experience with distributed systems (queues, schedulers, event-driven architectures, consistency tradeoffs)., • Background in scientific computing, robotics, or automation-heavy environments., • Solid understanding of security principles, practices, and common security tools (e.g., vulnerability scanners, intrusion detection systems)., • Experience with security and compliance software (e.g., Drata, Apptega).What we offer, • A competitive compensation package also includes the best in benefits:, • Medical, dental, and vision insurance for you and your family covered at 100%, • Mental health and wellness support, • Unlimited PTO and 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job Description Stuut is transforming accounts receivable for B2B companies—making collections smarter and faster for companies that have historically relied on manual processes that are labor intensive and costly. Our platform is gaining traction with finance teams across industrials, chemicals, and manufacturing sectors from Fortune 10 brands to scaling midmarkets. We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures and Page One. The Role We’re hiring a Member of Technical Staff – AI/ML to design, build, and deploy AI-powered systems that solve real-world financial operations challenges. You’ll take state-of-the-art AI research and translate it into production-grade features that deliver measurable customer impact. From intelligent invoice matching to automated payment reconciliation, you’ll create scalable, reliable AI applications that integrate seamlessly into our platform. This is a hands-on role for an engineer who thrives at the intersection of AI innovation and practical business application — turning cutting-edge models into real-world value for midmarket CFOs What You’ll Do * Build & Deploy: Create production-ready AI applications that directly address customer financial workflow challenges. * Optimize AI Features: Implement and refine capabilities like invoice matching, payment reconciliation, and financial document processing. * Adapt & Fine-Tune Models: Apply and optimize LLMs, RAG systems, and other AI architectures for specific financial use cases. * Engineer for Scale: Develop robust AI pipelines from data ingestion through inference, ensuring reliability, scalability, and maintainability. * Automate Workflows: Design AI-powered automations that reduce manual effort in finance operations. * Collaborate Cross-Functionally: Partner with Product, Engineering, and customers to translate business needs into effective AI solutions. * Measure Impact: Create evaluation frameworks to track AI system performance and quantify business outcomes. You Might Be a Fit If You… * Have 5+ years of software engineering experience, with at least 2 years focused on applied AI/ML in production environments. * Have integrated and fine-tuned LLMs for real-world applications. * Have built retrieval-augmented generation (RAG) systems for document-intensive workflows. * Understand MLOps best practices, from model deployment pipelines to monitoring and A/B testing. * Are fluent in Python and experienced with PyTorch, TensorFlow, and Transformers. * Have shipped AI products that solved real business problems — not just prototypes. * Have strong experience with data preprocessing and feature engineering for AI. * Can translate business requirements into clear, impactful technical solutions. * Have experience integrating AI systems into existing enterprise platforms. Compensation * Top-of-market salary and equity package * Benefits (for U.S.-based full-time employees) * Medical, dental & vision insurance coverage for you * 401(k) & Match * Equity * Flexible PTO * Parental Leave Compensation Range: $220K - $375K

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role At Hinge, the recommendation engine is a central part of our product. Every interaction users have with each other on our app begins with the systems your team builds and owns. As the engineering manager of this team, you will help drive the strategy and execution behind the infrastructure and features that power our recommendations. You’ll work closely with machine learning engineers, product managers, data scientists, and data engineers to build systems that balance personalization, fairness, and user experience at scale, from low-latency match-serving pipelines to the candidate retrieval and ranking systems that determine who users see and when. Our ability to provide good recommendations is central to achieving trust, engagement, and, most importantly, whether people can find who they’re looking for on Hinge. Responsibilities * Lead, mentor, and grow a team of 6-8 engineers building recommendation services * Partner with ML to productionize recommendation models and ensure low-latency, high-availability serving infrastructure * Own the technical roadmap for the recommender platform, balancing new capabilities with reliability and performance improvements * Drive architecture decisions for recommendation and search infrastructure * Establish and maintain engineering standards for code quality, testing, observability, and incident response * Collaborate with Product, Design, and cross-functional engineering teams to define and deliver product-facing recommendation features * Manage hiring, performance reviews, career development, and team culture What We're Looking For * 8+ years of software engineering experience, with 4+ years in an engineering management role * Strong backend systems expertise – you've built or operated large-scale distributed systems in production * Experience with recommendation systems, search ranking, personalization, or adjacent ML-serving infrastructure * Proficiency in one or more backend languages (ideally Go) * Familiarity with data processing architectures, feature stores, and model-serving technologies (e.g., Kafka, Spark, ElasticSearch, etc) * Track record of hiring, developing, and retaining high-performing engineering teams * Ability to communicate technical trade-offs clearly to both engineers and non-technical stakeholders Nice to Have * Experience with ML frameworks (TensorFlow, PyTorch) or MLOps tooling (MLflow, Kubeflow, Airflow) * Hands-on experience with cloud infrastructure (AWS, GCP, or Azure) and container orchestration (Kubernetes) * Background in A/B testing and experimentation platforms * Prior work at scale (millions of daily active users or equivalent throughput) Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in New York City. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.As a member of our team, you’ll enjoy: 401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year. Professional Growth: Get an annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day. Parental Leave & Planning: When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.) Fertility Support: You’ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide a stipend towards fertility preservation. You and your spouse/domestic partner are both eligible. Date Stipend: All Hinge employees receive a $100 monthly stipend for epic dates– Romantic or otherwise. Hinge Premium is also free for employees and their loved ones. ERGs: We have eight Employee Resource Groups (ERGs)—Asian, Unapologetic, Disability, LGBTQIA+, Raices, Women/Nonbinary, Parents —that hold regular meetings, host events, and provide dedicated support to the organization & its community. At Hinge, our core values are… Authenticity: We share, never hide, our words, actions and intentions. Courage: We embrace lofty goals and tough challenges. Empathy: We deeply consider the perspective of others. Diversity inspires innovation Hinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know. #Hinge .

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role Joining Hinge’s AI Platform Core team offers a unique opportunity to help define and contribute to a growing ML platform with the goal of accelerating the development, deployment, and operations of AI enabled features on Hinge. If you are excited by the idea of working on challenges ranging from maturing and scaling our training and serving frameworks to enable millisecond real-time predictions and models that continually learn at scale, providing automatic model performance monitoring & debug frameworks, and building Platforms for architecting and evaluating generative AI & Agentic systems, then read on! With a mission to democratize AI for Hinge, ensuring it remains easily accessible, robust, scalable, cost-efficient, and trusted. You'll collaborate across our product and platform teams, as well as with external stakeholders like data science and backend engineering. You will meet our internal customers where they are and optimize towards their needs by delivering value incrementally and coupled to their problems. Being part of a small yet impactful team means having a broad scope of responsibility. As the role of ML at Hinge is only becoming more impactful, this role provides you with a chance to grow in impact and scope across the company. This is an exciting opportunity to own and help define the future of machine learning within a growing and maturing team!Responsibilities • Own or contribute to technical designs for the feature platform, training platform, serving platform, AI observability platform and GenAI Platform and underlying operational infrastructure to enable Product impact., • Develop, maintain, and enhance frameworks for AI/ML model development and deployment while establishing and driving best practices in MLOps / GenAI engineering., • Design, advocate, and implement for usability, reliability, scalability, operational excellence, and cost management while delivering incrementally., • Collaborate closely with ML Engineers, Data Scientists, Data Engineers and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process., • Mentor and educate ML Engineers, Backend Engineers and Product Managers on current and up and coming tools and technologies for ML operations & GenAI product development through presentations and documentation., • Help design and architect an AI platform that adheres to the principles of responsible AI (Authenticity, Transparency, Equity) and builds privacy compliance into the platform., • Lead build vs buy discussions on technologies that underpin the Platforms we serve., • Participate in on-call and Incident Management processes.What We're Looking For, • 4+ years of experience, depending on education, as an ML, backend, data, or platform engineer developing and working with large scale, complex systems., • 2+ years of experience working on a cloud environment such as GCP, AWS, Azure, and with dev-ops tooling such as Kubernetes, • 1+ year of experience leading projects with at least 1 other team member through completion., • 1+ year of experience for Senior designing and developing online and production grade ML systems., • A degree in computer science, engineering, or a related field., • Strong programming skills: Proficiency in languages like Python, Go, or Java., • System design & architecture: Ability to design scalable and efficient ML systems., • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure., • ML knowledge: A basic understanding of ML algorithms, techniques, and best practices., • Data engineering knowledge: Skills in handling and managing large datasets including, data cleaning, preprocessing, and storage, • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds.., • Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation #Hinge .

Job Description At HelloFresh, we want to change the way people eat forever by offering our customers high-quality food and recipes for different meal occasions. Over the past 10 years, we've seen this mission spread around the world and beyond our wildest dreams. Now, we are a global food solutions group and the world's leading meal kit company, active in 18 countries across 3 continents. So, how did we do it? Our weekly boxes full of exciting recipes and fresh ingredients have blossomed into a community of customers looking for delicious, healthy, and sustainable options. The HelloFresh Group now includes our core brand, HelloFresh, as well as: Green Chef, EveryPlate, Chefs Plate, Factor_, and Youfoodz. The Role We're looking for a Staff Backend Engineer to join our Customer Value Optimization (CVO) tribe at HelloFresh. This is a high-impact individual contributor role sitting at the intersection of Data Science and Backend Engineering — you'll be the technical bridge that turns ML models into reliable, scalable production systems. You'll work across squads within the CVO tribe, partnering closely with Data Scientists and Backend Engineers to define how we serve ML models at scale, raise the technical bar, and accelerate the tribe's ability to deliver value to our customers. What you'll do • Design, build, and own robust, scalable infrastructure for live serving of ML models in production, • Act as the technical bridge between Data Science and Backend Engineering teams within the CVO tribe — translating DS needs into scalable engineering solutions, • Define and drive best practices for model serving, APIs, and system design across squads, • Lead cross-squad technical initiatives, from architecture decisions to hands-on implementation, • Partner with Data Scientists to ensure models are production-ready — performant, observable, and maintainable, • Contribute to tribe-wide engineering standards and shape the technical roadmap, • Mentor and support engineers across squads without direct line management responsibilityWhat you'll bring, • 7+ years of backend engineering experience, with a strong foundation in Python, • Proven experience building and operating ML model serving systems or ML platforms in production, • Deep understanding of distributed systems, APIs, and microservices architecture, • Strong track record of working across team boundaries to deliver complex, cross-functional projects, • Excellent communication skills — able to work fluently with Data Scientists, Machine Learning Engineers, and Data Engineers, • A collaborative, low-ego approach with strong technical judgmentNice to Have, • Experience with ML frameworks and serving tools, • Familiarity with feature stores, model registries, or MLOps tooling At HelloFresh, we embrace diversity and inclusion. We are an equal-opportunity employer and do not discriminate on the basis of an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. As part of the Company’s commitment to equal employment opportunity, we provide reasonable accommodations, up to the point of undue hardship, to candidates at any stage, including to individuals with disabilities. We want to adapt our processes and create a safe space that welcomes everyone so please let us know how we can accommodate our process. In case you have any accessibility requirements you can share that with us in the application form. To learn more about what it's like working inside HelloFresh, follow us on Instagram and LinkedIn. HelloFresh is committed to the principles of equal employment opportunity and providing reasonable accommodations to candidates with disabilities. If you need an accommodation during the application process, please reach out to us at:

Job DescriptionRole Description We're looking for a talented and ambitious machine learning engineer with 5+ years of experience building production AI systems who's excited to tackle one of the toughest challenges in healthcare: automatically resolving claim denials. You'll be the technical lead for their agentic AI platform that autonomously researches, understands, and resolves insurance claim denials, helping healthcare practices recover millions in lost revenue. Insurance claim denials cost healthcare practices $125 billion annually, and resolving them requires deep expertise in medical billing, payer rules, and claim documentation. Today, billing managers spend hours manually researching each denial, gathering supporting documentation, and crafting appeals. We're building an agentic AI system that automates this entire workflow - from denial classification and root cause analysis, to evidence gathering and appeal letter generation. As a machine learning engineer, you'll architect and build the intelligent agents that power this system. You'll design multi-agent workflows that collaborate to interpret complex denial reasons, retrieve relevant clinical and billing information through RAG systems, reason about payer policies, and generate compelling appeals. This is a greenfield opportunity to build a production agentic system that will directly impact the financial health of healthcare practices. you can You should be comfortable (and excited!) about working in a fast-paced, early-stage startup environment where you can wear many hats and take on new challenges as they arise. This is a great opportunity for someone who wants to work on a highly challenging project at the intersection of AI and healthcare. THIS ROLE IS FULL-TIME. We're looking for candidates based in NYC. NO RELOCATION What you'll do • Design and build the architecture for our agentic AI system that autonomously resolves insurance claim denials, • Develop specialized AI agents for denial classification, root cause analysis, evidence retrieval, policy reasoning, and appeal generation, • Implement multi-agent orchestration frameworks that coordinate complex workflows across research, decision-making, and document generation, • Build and optimize RAG systems to retrieve relevant clinical documentation, billing records, and payer policy information, • Create evaluation frameworks and feedback loops to continuously improve agent performance and reliability, • Design prompt engineering strategies and fine-tuning approaches to optimize LLM behavior for healthcare billing workflows, • Work closely with billing managers to understand denial resolution workflows and translate them into agent behaviors, • Collaborate with the engineering team on production infrastructure for deploying and monitoring AI agents at scale, • Actively contribute to building the team's AI/ML vision and technical roadmap, • Collaborate on code reviews and technical design documents to ensure code quality and distribute knowledgeWe’d love to hear from you if…, • You’re passionate about Healthcare AI/ML – you want to solve real, pressing problems for providers and put them in control of their businesses. You naturally empathize with users and enjoy designing solutions with their needs in mind., • You’re excited to shape the future of our engineering team and lead by example – as an early team member, you’ll have the chance to influence everything from our technical roadmap to our company culture. You have a radical sense of ownership with the ability and desire to own technical roadmaps and refine ambiguous problems. You also have a low ego, a growth mindset, and a desire to see the product and team scale with your impact., • You have a love for your craft and strong technical execution - You view coding as a craft, not just a task, and you're excited about using technology to create meaningful impact. Your technical skills go beyond coding; you care about building a product that works at scale, with the user at the forefront. Must have 5+ years of experience in machine learning engineering, with a focus on building production AI systems and deploying models at scale. Strong experience with machine learning frameworks (PyTorch, TensorFlow, or JAX) Experience working with healthcare data or understanding of medical billing workflows is a plus Must be Proficiency in: • Python and modern ML frameworks (PyTorch, TensorFlow, or JAX), • LLM technologies, including prompt engineering, fine-tuning, and RAG systems, • Vector databases and semantic search systems, • Building reliable, production-grade AI systems with proper evaluation and monitoring, • MLOps practices, including model versioning, A/B testing, and performance tracking Joining a meaningful team means the opportunity to make a direct, meaningful impact on clinicians' lives and the financial health of their practices. Here’s what you can expect from working with us: Meaningful Impact You’ll be tackling one of the most complex challenges in healthcare, helping practices thrive in a chaotic financial landscape. Your work will directly help solve one of the most hair-on-fire problems for providers, ensuring they can focus on what they do best: caring for patients. Autonomy & Ownership As an early team member, you’ll have significant autonomy and the chance to shape our company from the ground up. You’ll have ownership over your work and the freedom to challenge the status quo in an environment that values initiative and creativity. Growth & Learning We’re a small, ambitious team with big goals, which means you’ll be constantly learning and growing. You’ll take on new challenges, expand your skill set, and have direct access to experienced founders and advisors who are invested in your development. We also offer stipends for professional development courses & books (which we often take together!) so we can all continue to grow.

Job Description Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world. We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization. Requirements Key Responsibilities • Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc., • Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics, reporting, and AI-driven use cases., • Build and maintain orchestration workflows using Apache Airflow to automate data pipeline execution, scheduling, and monitoring., • Support data preparation and ingestion for AI/ML and Generative AI workloads, including handling structured and unstructured datasets., • Enable data pipelines that support LLM-based applications, vector embeddings, and knowledge retrieval systems., • Lead the migration of legacy data systems to modern cloud-based data architectures., • Develop and maintain CI/CD pipelines for data workflows and platform automation., • Collaborate with data scientists, ML engineers, and AI teams to ensure data availability for model training, inference, and GenAI applications., • 8+ years experience as a Data Engineer working with AWS cloud services., • Hands-on experience with AWS services such as S3, Glue, Lambda, Redshift, and related data platform tools., • Experience building data pipelines using Databricks, Apache Spark, and SQL., • Experience with Apache Airflow for workflow orchestration., • Strong understanding of data modeling, data lake/lakehouse architectures, and ETL/ELT frameworks., • Experience with CI/CD pipelines and version control systems (Git)., • Exposure to Generative AI or LLM-based applications., • Experience supporting data pipelines for AI/ML workloads., • Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures., • Experience working with LLM APIs or AI frameworks such as LangChain. Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do: The Observability team builds and operates CoreWeave's logging, tracing, and metrics platforms, along with the high-throughput data pipelines that power them. This team enables both internal engineers and customers to monitor, troubleshoot, and optimize AI workloads running on GPU-dense infrastructure at massive scale. About the role: As a Software Engineer on the Observability team, you will design, build, and maintain scalable systems that process and surface telemetry data across distributed environments. You'll contribute production-quality code in languages like Go and Python, while improving system reliability through enhanced monitoring, alerting, and incident response practices. Day to day, you'll collaborate with cross-functional engineering teams to implement observability best practices, support production systems, and help optimize performance across large-scale infrastructure. You will also participate in on-call rotations and contribute to continuous improvements based on real-world system behavior. Who You Are: • 2+ years of experience in Software Engineering, Site Reliability Engineering, DevOps, or a related field, • Proficiency in at least one programming or scripting language (e.g., Python, Go), • Experience working with Kubernetes, containerization, and microservices architectures, • Experience participating in on-call rotations, including triaging and escalating production issues, • Experience operating observability platforms or databases (e.g., ClickHouse, Elastic, Loki, VictoriaMetrics, Prometheus, Thanos, OpenTelemetry, Grafana), • Familiarity with infrastructure-as-code tools such as Terraform, • Experience with modern testing frameworks and deployment strategies (e.g., canary, blue-green), • Experience with data streaming technologies (e.g., Kafka, Kafka Connect) At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $109,000 to $145,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionCompany Description At Data Intellect it has never been just about data or technology, they are our tools. It’s about human intellect, collaboration and providing solutions for the most complex of challenges. We do this by living the [DI] code: We are Problem Solvers who are Humble, possess a Can-do Attitude with a focus on Togetherness. “We are not big on egos, but we’re not for the faint-hearted either” – Steve Turner, CEO Job Description We are partnering with a fast-moving AI-driven platform company transforming how businesses interact with data and automate workflows. Our technology enables seamless integration, real-time automation, and AI-powered decision-making. We’re seeking a Field Solutions Engineer to design and deliver scalable solutions for enterprise clients, blending engineering expertise with consultative architecture thinking. What You’ll Do • Solution Build-Outs (Core Focus): Design and implement workflows, connectors, and APIs (REST/GraphQL) that scale., • Software Engineering (60%): Develop robust solutions using Python or Java, leveraging AI agents for code generation while reviewing and owning the final code., • Solutions Architecture (30%):, • Assess gaps and define outcomes for client projects., • Map system architecture, draw specifications, and design scalable workflows., • Apply traditional solution architecture principles to ensure reliability and performance., • Client Engagement (10%): Lead technical workshops, communicate recommendations clearly, and maintain a consultative approach throughout delivery., • Data Expertise: Manage data pipelines and apply strong knowledge of data principles, including data warehousing and data lakes., • Continuous Improvement: Feed deployment learnings into product roadmap and documentation.Qualifications, • Experience: 5–10 years in software engineering and solution architecture for B2B platforms (data/AI/automation preferred)., • Technical Skills:, • Proficiency in Python or Java., • Strong understanding of data principles (warehousing and data lakes)., • Familiarity with APIs, event-driven patterns, and secure configuration management., • Consulting Mindset: Ability to assess gaps, define outcomes, and recommend changes for evolving projects., • Architecture Thinking: Skilled at drawing system designs and workflows that scale., • Soft Skills: Excellent communication, client-facing confidence, and ability to thrive in high-stakes delivery environments., • Nice-to-Have: Exposure to AI agents, LLM/RAG pipelines, and MLOps. Additional Information A little background on DI Simply put – we turn big data problems into smart data solutions At our core, Data Intellect is a data and technology consultancy firm. Our key area of expertise is financial and capital markets technology solutions. However, the utility of these solutions allow us to apply fintech data expertise to other industries such as smart energy and healthcare. This proprietary offering is complemented by a wealth of experience in data engineering, electronic trading systems, data capture applications, regulatory and compliance systems and middle and back-office enterprise web solutions. Fair employment and equal opportunities Data Intellect is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available on request throughout the assessment and selection process. Welcome to Data Intellect. #ChallengeAccepted

Job Description Role Summary Lexeo is at an inflection point where AI and advanced analytics can materially accelerate decision-making across discovery, development, and operational execution. This Sr. Director will set direction and deliver applied AI/ML solutions across internal workflows and externally facing outputs, ranging from R&D insights to partner-ready analyses, while partnering closely with scientific teams and, when needed, external vendors/partners to solve real problems. This role is intentionally hands-on and outcome-driven: a leader who can build, validate, and operationalize models using real-world biopharma data to raise the signal-to-noise ratio in small or unstructured datasets (including synthetic control arm approaches where appropriate). Key Responsibilities AI/ML Strategy + Delivery • Define and execute Lexeo’s applied AI/ML roadmap across discovery and development, prioritizing use cases that improve speed, quality, and decision confidence., • Deliver solutions that are internal-only (e.g., scientific decision support, operational forecasting) and those that are generated internally but external-facing (e.g., partner-ready analyses (regulatory dossiers, briefing books, protocols etc.), validated dashboards, and decision materials)., • Lead development and selection of appropriate ML approaches (e.g., XGBoost, Random Forest, SVMs, and other advanced models) based on problem framing, data constraints, interpretability needs, and deployment context., • Apply techniques to amplify signal-to-noise in smaller datasets (e.g., regularization, Bayesian methods, hierarchical modeling, augmentation, multimodal integration, careful feature engineering, uncertainty quantification)., • Translate drug discovery and translational questions into testable analytical hypotheses; partner with bench scientists to design data capture that enables strong modeling., • Partner with stakeholders across R&D, CMC, Clinical, Safety, and IT/Security to implement scalable data pipelines and AI-enabled workflows., • Improve internal processes through automation and analytics, focusing on measurable impact (cycle time, error reduction, throughput, decision latency)., • Establish practical governance for data quality, documentation, and fit-for-use standards aligned with the realities of biopharma environments (including where regulated practices apply). What Success Looks like (First 6-12 Months), • A prioritized AI/analytics roadmap tied to measurable R&D outcomes; clear ownership and delivery cadence., • 2–4 production-grade analytics solutions adopted by teams (internal and/or external-facing outputs as needed)., • A repeatable approach for small datasets and high-noise signals; documented modeling standards and review practices., • Strong partner engagement model: vendors/partners used strategically, with internal capability building and durable outcomes. Required Skills and Qualifications, • Advanced degree in a quantitative or scientific discipline (PhD strongly preferred; MS with exceptional experience considered)., • 10+ years of relevant experience across applied data science/ML in life sciences/biopharma (or adjacent domain with direct drug discovery translation), including 5+ years leading teams and influencing senior stakeholders., • Deep familiarity with advanced ML methods (including XGBoost, Random Forest, SVMs) and the judgment to select and justify the right tool for the job., • Demonstrated experience building predictive models with real-world, imperfect datasets and delivering them into production or decision workflows., • Proven ability to improve processes and operationalize analytics—moving beyond prototypes to adoption., • Strong cross-functional communication: can partner with scientists, engineers, and executives; can explain model performance and limitations clearly. Preferred Skills and Qualifications, • Direct experience in drug discovery, translational research, and/or R&D decision support (target ID/validation, MoA, biomarker strategy, preclinical data integration)., • Experience with small data strategies, causality-aware thinking, and synthetic control arms or closely related methodologies., • Experience operating in regulated/quality-sensitive environments and building documentation practices that scale (particularly relevant where validation and traceability are required).

Job Description Tiger Analytics is seeking a highly skilled Senior AI Engineer to join our dynamic team. In this role, you will design, develop, and implement cutting-edge AI solutions that drive business value for our clients. You will leverage advanced machine learning techniques, frameworks, and large datasets to create innovative products and solutions. As a Senior AI Engineer, you will work closely with cross-functional teams to identify project requirements, define success metrics, and maintain high-quality standards. Your expertise in AI will play a critical role in shaping our product offerings and ensuring the successful deployment of AI models in production. The successful candidate will have a solid background in artificial intelligence, experience with various ML frameworks, and a passion for solving complex business problems. Requirements Key Responsibilities: • Design and implement AI algorithms and models to solve real-world problems., • Collaborate with data scientists, data engineers, and business analysts to understand project requirements and propose relevant AI solutions., • Monitor and analyze the performance of AI models in production and iterate on them to improve outcomes., • Develop technical documentation as well as customer-facing documentation and presentations., • Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field., • 5+ years of experience in AI/ML development with demonstrated success in deploying machine learning models to production., • Proficiency in programming languages such as Python and familiarity with libraries such as TensorFlow, PyTorch, and Scikit-learn., • Experience with cloud-based AI services such as AWS, Google Cloud, or Azure., • Strong analytical and problem-solving skills, with a proven ability to interpret business requirements into technical solutions., • Experience with natural language processing (NLP) or computer vision applications., • Knowledge of MLOps principles and tools. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. #LI-remote

Job DescriptionAbout Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise as well as personal needs. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute - a suite that brings frontier intelligence to end-users. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on . About The Job: Technical Lead, Applied AI Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases. You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings. As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision. What you will do - Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions.- Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries.- Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders.- Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives.- Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.- Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle. About you- You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field.- You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions.- You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation.- You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.- You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus.- You have strong software engineering skills, including API design, backend/full-stack development, and system architecture.- You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers.- You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent. Ideally, you have:- Contributed to open-source projects, particularly in the LLM or AI space.- Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption.- A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities. Why join us? You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you! By applying, you agree to our Applicant Privacy Policy. What we offer • \uD83D\uDCB0 Competitive salary and equity., • \uD83D\uDE91 Healthcare: Medical/Dental/Vision covered for you and your family., • \uD83D\uDC74\uD83C\uDFFB Pension : 401K (6% matching), • \uD83C\uDFDD️ PTO : 18 days, • \uD83D\uDE97 Transportation: Reimburse office parking charges, or $120/month for public transport, • \uD83C\uDFC0 Sport: $120/month reimbursement for gym membership, • \uD83E\uDD55 Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger), • \uD83C\uDF0E Visa sponsorship, • \uD83E\uDD1D Coaching: we offer BetterUp coaching on a voluntary basis By applying, you agree to our Applicant Privacy Policy.