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Job Description About the Role: We are seeking an exceptional Senior Full Stack Engineer to join our elite team. In this role, you will play a pivotal part in building both the frontend and backend services for Brkfst. Your responsibilities will extend to collaborating with our data science team to host models and deliver them through APIs. We are looking for engineers who can demonstrate a "bias to ship" mindset and a strong sense of urgency. Our goal is to assemble small teams of highly talented individuals who can independently solve problems and self-organize to achieve our objectives. Responsibilities include but are not limited to; • Full Stack Development: Lead the development of both frontend and backend services for Brkfst's innovative solutions., • RESTful Design: Create robust and scalable APIs following RESTful design principles., • Microservices Architecture: Design and implement microservices architecture to ensure flexibility and scalability., • Collaboration: Collaborate closely with product managers, data scientists, and TPMs to understand requirements and deliver high-impact solutions., • Model Hosting: Work with the data science team to host machine learning models and deliver them through APIs for integration into our products., • Autonomy: Operate with a high degree of autonomy and self-organization to drive projects forward without extensive oversight., • Bachelor's or Master's degree in a related field., • Proven experience as a Full Stack Engineer with a track record of delivering high-quality software., • 5+ years of experience in coding and programming with TypeScript, Python, or similar languages., • 3+ years of experience working with relational databases like MySQL or PostgreSQL., • 3+ years of experience working with front-end JavaScript libraries such as React, Angular, or Vue., • Proficiency in Docker containerization., • Hands-on experience with CI/CD pipelines and tools such as Azure Pipelines, Jenkins, or GitHub Actions., • Knowledge of cloud platforms (AWS, Azure, GCP)., • Experience with Scrum & Agile Methodologies., • Proficiency in RESTful API design and microservices architecture., • Excellent communication skills and the ability to work collaboratively in a cross-functional team., • Self-motivated, proactive, and able to work independently with minimal supervision., • Ability to quickly understand complex problems and devise effective solutions., • Familiarity with Event-Driven Architecture is a plus., • Unlimited vacation policy, • Monthly Phone Stipend, • Comprehensive Medical, Dental, and Vision insurance options, • 401(K) plan with matching, • Dog friendly office, • Hybrid work opportunity, • Professional Development Program, • Level 1 - $141,000-$171,300, • Possesses essential capabilities, • Level 2 - $171,300-$201,600, • Possesses developing capabilities, • Level 3 - $201,600-$231,900 Possesses notable capabilities. • Level 4 - $231,900-$262,200, • Possesses strong capabilities, • Level 5 - $262,200-$292,500, • Possesses advanced capabilities. About WITHIN & Brkfst.io WITHIN is the world's first Performance Branding company, partnering with some of the biggest brands in the world to drive business growth through innovative marketing strategies. Our integrated operating model collapses the traditional marketing silos between creative and media, performance and brand, and across media channels. With a full suite of offerings including media, creative, SEO, Lifecycle, Retail Media, Affiliate and Influencer, we're able to work with our brand partners in an integrated fashion, allowing us to align marketing strategies back to core business objectives. Client teams at WITHIN are trained on how to always act as a trusted business partner, acting as a fiduciary to client needs above our own. Teams at WITHIN have the ability to work with iconic brands such as The North Face, Timberland, Ben and Jerry's and Jose Cuervo. Everyone at WITHIN wants to grow and be challenged. It's a collaborative place made up of small, closely knit and versatile teams that are fast and adaptive to solve problems and build systems. Check out some of our work! Brkfst.io is an incubated venture within WITHIN, focused on connecting creators with major brands to produce impactful ads at scale. We are, and we connect creators with big brands to make impactful ads at scale. We have a network of thousands of content creators with a variety of different skill-sets, and we're looking to build a program that empowers them to create great ads for brands like Corkcicle, Perfume.com, Casper Mattresses, & more! This is a very ambitious project and our roadmap is full of exciting features, so we're looking for people who love innovation and want to be challenged. We're a small team of scrappy individuals who are growing fast, and we're looking for someone to grow with us. We weave AI into everything we do, using the latest tech across all teams to innovate, work smarter, and make better decisions. Whether it's in creative, operations, or anything else, AI helps us level up and do things at a whole new scale. We expect our people to use AI in their daily work, fully embracing it as a critical tool to help us succeed. Join Our Network! Stay connected with us and be the first to know about new opportunities, industry insights, and updates. Follow us on: • LinkedIn, • WhatsApp Community, • Instagram, • New York City: 43-01 22nd St, Suite 602, Queens, NY 11101, United States, • Bogotá: WeWork Av. Carrera 19 #100-45 Usaquén, Piso (Floor) 10, Bogotá, Distrito Capital de Bogotá 110111, Colombia, • Mexico City: Av. Paseo de la Reforma 296, Piso (Floor) 25, Oficina 111, Ciudad de México, CDMX 06500, México

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.

Job Description The Future Runs on Bitfarms As demand for AI and high-performance computing (HPC) accelerates, Bitfarms is building the infrastructure to meet the moment. Our U.S. expansion and global operations are laying the foundation for scalable, energy-optimized compute designed to support next generation workloads and long-term growth. Who We Are Bitfarms (NASDAQ/TSX: BITF) is a global energy and compute infrastructure company that develops, owns, and operates high-performance data centers. With data centers across North and South America, we manage every stage of development from securing energy, producing power, and designing facilities to running world-class operations. This vertically integrated approach allows us to innovate faster, operate more efficiently, and deliver infrastructure that can scale with the future of compute. Why Join Us At Bitfarms, voted a Great Place to Work, you will be part of a team shaping the next generation of digital infrastructure. We are at the intersection of energy and technology, two industries undergoing massive transformation. Here, your work will have real impact, powering advanced workloads that are driving AI, machine learning, and the digital economy forward. We value people who are curious, collaborative, and committed to building solutions that last. With offices in New York City, Pittsburgh, Montreal, and Buenos Aires, and operations across the Americas, Bitfarms offers the chance to grow your career while helping power AI and shape the future of high-performance computing. What You Can Expect at Bitfarms • A fast-moving environment where innovation and execution go hand in hand, • Opportunities to work on cutting-edge projects in HPC, AI, and energy infrastructure, • A collaborative, cross-border team that thrives on solving complex challenges, • A commitment to efficiency, operational excellence, and long-term value creation Bitfarms is more than a workplace. It is where people come together to power the future. Interested? This is a great opportunity to work for a young and dynamic company! We are currently looking for a VP - Data Center Engineering to join our team Compensation Expected Salary (NYC): $275,000 - $325,000 USD Purpose of the role This is a greenfield leadership hire. The Vice President of Data Center Engineering will be the founding leader of the company's in-house engineering and design function, building the team, integrity of all data center development — from conceptual design through commissioning and handoff. The ideal candidate brings deep domain expertise in a primary engineering discipline (electrical or mechanical) with sufficient breadth to lead across the full scope of data center infrastructure. They will be expected to build a team of 3–5 engineers within the first 12–18 months, establishing the engineering function as a core pillar of the development organization. Key Responsibilities Engineering Strategy & Standards • Define and own the company's data center engineering strategy, design standards, and technical specifications across all development programs., • Establish engineering governance including design review processes, quality gates, and documentation standards for both powered-shell and turnkey build-to-suit delivery models., • Drive innovation in energy efficiency, sustainability, and emerging technologies including AI/HPC readiness, liquid cooling, and modular construction methods., • Lead end-to-end engineering and design for new builds, expansions, and retrofits — owning scope from conceptual and schematic design through construction documents., • Manage and direct external engineering consultants, ensuring design deliverables meet company standards, project specifications, and applicable codes., • Maintain design standards aligned with Tier III/Tier IV (or equivalent) reliability targets for power, cooling, and structural systems., • Approve major design decisions and drive vendor/equipment selection for critical infrastructure systems., • Ensure compliance with all applicable building codes, safety regulations, environmental standards, and industry best practices., • In coordination with the Permitting lead, develop and execute comprehensive permitting strategies, regulatory timelines, and compliance roadmaps., • Provide engineering support through construction, including RFI resolution, design clarifications, submittal review, and field engineering coordination., • Work with project management and general contractors to ensure projects are delivered on schedule, within budget, and to specification., • Oversee commissioning processes, including management of the Commissioning Authority (CxA) in coordination with the Project Manager and the VP of HPC Operations, ensuring systems are tested, validated, and handed off to operations., • Establish reliability and performance engineering standards in partnership with operations leadership, including KPIs for uptime, MTBF, MTTR, PUE, and WUE., • Lead root-cause analysis for major infrastructure events and feed lessons learned back into design standards., • Recruit, hire, and develop a high-performing engineering team of 3–5 professionals within the first 12–18 months., • Define the organizational structure, role profiles, and capability roadmap for the engineering function., • Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a closely related discipline. Master's degree preferred., • 15+ years of progressive engineering experience in data center or mission-critical facility environments, with at least 5 years in a senior leadership role., • Deep domain expertise in a primary discipline (electrical power systems or mechanical/cooling systems) with demonstrated ability to lead across the full MEP scope., • Proven track record leading engineering and design for large-scale data center programs (hyperscale, enterprise, or colocation) — including multi-hundred-million-dollar delivery programs., • Experience managing external engineering consultants and integrating their output into a cohesive delivery program., • Strong command of data center reliability standards, applicable codes (NEC, NFPA, ASHRAE, IMC), and regulatory requirements., • Professional Engineer (PE) license., • Direct experience with AI/HPC infrastructure, including high-density power delivery and liquid cooling systems., • Experience in powered-shell or build-to-suit data center development models., • Background in cloud, colocation, or hyperscale operating environments., • Project Management Professional (PMP) certification or equivalent program management experience., • Accomplished leader of multidisciplinary teams in fast-paced, capital-intensive environments., • Exceptional stakeholder management, cross-functional communication, and partnership-building skills., • Strong financial acumen: budgeting, capital forecasts, and risk management for multi-hundred-million-dollar power portfolios., • NYC Office presence required at least 4 days per week with frequent travel to US and Canadian project sites for hands-on oversight, stakeholder engagement, and technical leadership.NYC$275,000—$325,000 USD

Job Description At TWG Global Holdings, LLC (“TWG Global”), we drive innovation and business transformation across a range of industries—including financial services, insurance, technology, media, and sports—by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role: We are seeking an Executive Director, Software & AI Engineering to serve as a hands-on technical leader and enterprise architect across TWG Global’s AI and software initiatives. This role is responsible for threading architecture, engineering execution, and technical decision-making across multiple concurrent projects, acting as a senior individual contributor and people leader who ensures systems are designed to scale, delivered to completion, and aligned to business outcomes. Key Responsibilities: • Lead architecture and hands-on engineering across multiple TWG Global AI and software initiatives, making critical decisions on system design, technology selection, and integration across complex environments., • Serve as a senior technical owner across projects, providing oversight and guidance while directly contributing to core engineering work in high-impact areas, including AI-driven workflows, digital employee systems, and complex data platforms., • Hands-on technical experience as a senior software engineer and architect, with demonstrated success designing, building, and finishing complex systems across multiple technology stacks in production environments., • Hands-on expertise with modern cloud platforms and data ecosystems, including Azure-based architectures, enterprise analytics platforms (for example, Palantir), and core backend technologies such as Java, PostgreSQL, Redis, and distributed systems., • Strong architectural judgment and technical maturity, with the ability to make high-stakes decisions around system design, scalability, performance, and long-term maintainability across multiple concurrent projects., • Experience managing and mentoring small, highly skilled engineering teams, while remaining a deeply technical individual contributor., • Demonstrated ability to operate in high-pressure, deadline-driven environments across multiple industries, including client-facing or consulting-style engagements where execution speed and delivery quality are critical., • Record of successfully orchestrating and integrating multiple technology stacks and vendors into cohesive, production-ready platforms that support complex workflows and AI-driven decision-making., • Strong communication skills with the ability to translate complex technical concepts to senior business leaders and non-technical stakeholders, influencing outcomes and driving alignment across the organization., • Experience evaluating, selecting, and integrating emerging technologies, with a practical, execution-focused mindset that prioritizes shipping durable solutions over experimentation without delivery. Position Location This position can be based in Santa Monica, CA; New York, NY; or remotely for an exceptional candidate. Compensation The base pay for this position is $350,000 - $409,000. A bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and other benefits. TWG is an equal opportunity employer. All applicants will be considered for employment without attention to age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Job DescriptionSenior Systems Engineer /Core Infrastructure, VMware *US Citizens or GC Holders *On-site daily in Jersey City, NJ Position Overview We are seeking a highly skilled and experienced Senior Systems Engineer to join our IT Infrastructure team. This role focuses on the design, implementation, management, and optimization of core infrastructure systems with a specialization in VMware and related technologies. The Senior Systems Engineer will play a key role in ensuring the stability, scalability, and security of the organization’s IT infrastructure. Key Responsibilities • Core Infrastructure Management, • Design, deploy, and manage enterprise infrastructure, including servers, storage, and networking components., • Monitor system performance, troubleshoot issues, and implement improvements to ensure high availability and reliability., • Lead infrastructure-related projects, including upgrades, migrations, and system integrations., • VMware Administration, • Architect, implement, and maintain VMware vSphere environments, including ESXi hosts and vCenter servers., • Optimize virtual infrastructure for performance, scalability, and cost-effectiveness., • Manage virtual machine provisioning, snapshots, and backups., • Configuration Management, • Develop and maintain scripts (PowerShell, PowerCLI, Python, etc.) for system automation and process improvements., • Automate repetitive tasks, enhance monitoring capabilities, and ensure system configurations adhere to best practices., • Implement and maintain security measures to protect core infrastructure systems., • Ensure compliance with organizational policies, industry standards, and regulatory requirements., • Collaboration and Leadership, • Work closely with cross-functional teams, including network engineers, database administrators, and application developers., • Mentor junior team members and provide technical leadership. Core Systems and Infrastructure: • Windows Servers: Configuration, management, and performance tuning, • Active Directory (AD): Management of users, groups, and roles, • Group Policy (GPO): Administration and customization, • DNS and DHCP: Configuration and troubleshooting, • Public Key Infrastructure (PKI): Implementation and management, • VMware vSphere, ESXi, and vCenter, • Backup and replication tools: Veeam, Rubrik, Zerto, CommVault, • High-availability design, clustering, and disaster recovery (D.R.) solutions, • SAN, NAS, and Storage Spaces Direct, • Familiarity with NetApp, Dell EMC, and HPE storage solutions, • Tools: SolarWinds, SCOM, PRTG, • Synthetic transactions and real-time alerting, • Performance tuning for Windows servers and virtual environments, • Root cause analysis for recurring performance issues Qualifications • Education: Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience)., • Experience: Minimum of 7 years of experience in IT infrastructure engineering, with at least 5 years focused on VMware technologies., • Certifications:, • VMware certifications (e.g., VCP, VCAP, or VCDX) are strongly preferred., • Excellent problem-solving and analytical abilities., • Strong communication skills, both written and verbal., • Ability to work independently and collaboratively in a fast-paced environment., • Commitment to continuous learning and professional development.

Job Description Location: New York Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on behalf of a high-growth AI cybersecurity company backed by top-tier investors and strategic AI leaders. The company is building the security layer for the AI era, protecting enterprises against AI-powered threats such as deepfakes, smishing, and synthetic voice attacks. Following a major Series B funding round led by industry-leading AI and venture partners, the company is entering a critical growth phase. Trusted by major banks, technology companies, and healthcare organizations, they are scaling rapidly to meet enterprise demand in a $200B+ market opportunity. We are looking for a Director of Machine Learning to define and build the companys ML capabilities from the ground up. ML is central to the product vision. This role is not about incremental optimization — it is about owning the strategy, infrastructure, and execution of machine learning across the organization. There is currently no dedicated ML infrastructure or ML team. You will establish the foundations: define where ML drives product value, design production systems end-to-end, and set the technical direction for how ML evolves across the company. This is a high-impact, highly autonomous role suited for someone who has built ML systems in production and is ready to architect an ML function from zero to scale. What Youll Do * Define the companys ML strategy: where ML should be applied across products, what infrastructure is required, and how to approach build vs. buy decisions. * Design and build production ML systems end-to-end — including data pipelines, model training workflows, evaluation frameworks, and inference serving. * Establish rigorous evaluation methodology to measure model quality, detect regressions, and support data-driven iteration. * Own the data strategy: determine what data is needed, how it should be labeled, how feedback loops are structured, and how models continuously improve. * Partner closely with product and backend engineers to integrate ML into customer-facing systems. * Write production-quality code within the existing codebase and contribute to architectural decisions. * Over time, help recruit, mentor, and lead the ML team as the function expands. What Were Looking For * 8+ years of experience building ML systems in production environments. * Experience standing up ML infrastructure at an early-stage startup or serving as the senior/lead ML engineer at a company. * Strong software engineering fundamentals with production experience in languages such as Python, Java, or TypeScript. * Experience with cloud-based ML infrastructure (e.g., SageMaker, Bedrock, Modal, Baseten, or similar platforms). * Hands-on experience with ML and data frameworks such as PyTorch, TensorFlow, Spark, or equivalent tools. * Comfortable working across the stack — infrastructure, backend systems, and data platforms. * Demonstrated ability to mentor engineers and elevate technical standards within a team. * High autonomy and ownership mindset, with the ability to define direction and execute without predefined playbooks. Bonus Points * Experience building ML systems for security, fraud detection, or adversarial environments. * Experience working with LLMs in production (evaluation, fine-tuning, retrieval systems, guardrails). * Background in real-time inference systems or high-throughput distributed systems. * Experience making strategic build vs. buy infrastructure decisions. * Previous startup experience in high-growth environments. Why This Role Will Pivot Your Career * Strategic AI backing: Supported by leading AI and venture investors shaping the future of AI infrastructure and cybersecurity. * Founding-level impact: Build and define the ML function from zero in a company where ML is core to product value. * Enterprise traction: Products already trusted by major banks, tech firms, and healthcare organizations. * Massive market opportunity: Positioned in a rapidly expanding AI cybersecurity space. * Leadership path: Opportunity to evolve into Head of ML as the organization scales. * Ownership & autonomy: Direct influence over architecture, infrastructure, and long-term technical direction. Benefits * Competitive salary & equity options * Health, Dental, and Vision * 401k * Hybrid flexibility Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Job Description CVector’s mission is to bring real time economic optimization and AI prediction to every energy and manufacturing plant. Industrial facilities make decisions every minute that determine cost, reliability, and margin, but the signals that matter live in different worlds: live asset constraints and process reality on one side, feedstock prices, product prices, demand, and market dynamics on the other. We fuse those worlds into one decision layer that continuously forecasts what is coming, simulates what could happen, and optimizes what to do next, so plants can run closer to their true economic potential every day. This position works from our New York City office four days per week. CVector has customers across the United States and operates real-world systems in demanding industrial environments. Role Overview As a Senior Software Engineer - Backend & AI Infra focus, you will play a critical role in evolving CVector’s core backend platform. You will work on time-series data systems, AI-assisted analytics, cloud infrastructure, and data ingestion pipelines that power our customer-facing applications and internal modeling platforms. This role is well-suited for an engineer who enjoys working close to the data and infrastructure layers, has strong architectural judgment, and is excited to operate across AI systems, databases, and distributed backend services. You will take ownership of complex systems, drive major technical migrations, and help shape how intelligence is embedded into industrial energy workflows. You will collaborate closely with product, modeling, and frontend engineers, and you will have significant influence over platform direction, reliability, and long-term scalability. Key Responsibilities As a Senior Software Engineer, you will contribute across several interconnected areas: Intelligent Systems • Map customer domains and operational workflows into effective prompts and AI system interfaces, • Design, execute, and iterate on evals for AI outputs, • Incorporate customer feedback and reinforcement signals to improve system behavior, • Refine context selection, retrieval, and trace collection to improve output quality, • Fine-tune smaller models using collected traces to reduce latency while preserving performance, • Evaluate and integrate new AI platforms and models as they become available, • Support training and deployment of large, time-series-focused modelsBackend Platform & Data Infrastructure, • Lead migrations and upgrades of our time-series data schemas and storage engines, • Upgrade and maintain PostgreSQL and related database infrastructure, • Develop and maintain data connectors for industrial and third-party systems, • Lead MQTT-based data ingestion pipeline improvements, • Transition PostgREST to GraphQL-based framework and evolve our API architecture, • Improve TigerData to next-gen time series design and simplify multi-tenant provisioning workflowsDatabase & Analytics Systems, • Optimize performance and reliability of high-volume time-series data stores, • Design and execute architecture plans for TigerData, • Augment analytical workloads using Parquet and/or Iceberg-based storage formats, • Balance real-time and historical query performance across operational and analytical use casesModeling Platform Support, • Improve and consolidate internal machine learning systems, • Enable parallelized and distributed model training workflows, • Implement message brokers and orchestration mechanisms for multi-stage learning pipelines, • Improve reproducibility, traceability, and coordination across modeling stagesReliability & Developer Experience, • Strengthen cloud infrastructure uptime, observability, and deployment reliability, • Standardize build, test, and release processes across services, • Improve developer tooling and internal platform ergonomics, • Port backend services from bun to Node.js where appropriate, • Track and improve DORA metrics (deployment frequency, lead time, change failure rate, recovery time), • Ensuring CVector's modeling and analysis ecosystem supports and enhances our AI Agent experience, • Developing and integrating with market data APIs for energy and commodity prices, carbon intensity, and weather forecasts., • Implementing a host of time series analysis techniques including AI/ML-drive methods for energy forecasting and predictive failure., • Developing and using our algorithm training architecture to ensure quality results for our customers., • Developing and deploying TEA and LP models to optimize equipment and facility operations., • Preparing and delivering TEA and LP model results to customers to inform their development and facility expansion plans., • Collaborating directly with customers to refine and deploy solutions tailored to their project operational needs., • Analyze customer data with a host of statistical methods and tools to distill actionable recommendations for customers. Our current technology stack includes Python, TypeScript, Supabase, PostgreSQL, MQTT, TigerData, InfluxDB, AWS, and GitHub-based CI/CD workflows. A strong candidate will bring: • A relevant engineering degree or equivalent professional experience with a strong computer science foundation, • 5+ years experience building and operating production backend systems, • Strong proficiency in Python and/or TypeScript for backend development, • Experience with databases, especially PostgreSQL and time-series or analytical data stores, • Familiarity with event-driven systems, streaming data, or message brokers, • Experience designing or supporting AI/ML systems in production is a strong plus, • Comfort working on infrastructure, data pipelines, and evolving system architectures, • Strong communication skills and the ability to collaborate in a high-ownership environment, • Experience working in a startup or fast-moving product organization CVector provides team members with: • A competitive compensation package with meaningful equity upside, • A robust selection of health, dental, and vision insurance options, • Optional Health Flexible Spending Account (FSA), • Unlimited PTO with a three week minimum per year, plus additional sick days, • Top of the line work equipment and IT setup, including high performance laptops and a modern developer stack, • Unlimited access to the latest AI agent systems and productivity tools to help you move faster and build better, • Visa support for candidates currently based in the US, including employer sponsored visa applications where applicable Why This Role Matters at CVector This role sits at the intersection of AI systems, time-series data, and real-world energy infrastructure. Your work will directly impact system reliability, customer trust, and CVector’s ability to scale intelligent energy management across industries. If you enjoy solving deep backend problems, shaping platform foundations, and embedding intelligence into physical systems, this role offers both technical challenge and real-world impact.

Job Description Location: New York Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on behalf of a high-growth AI cybersecurity company backed by top-tier investors and strategic AI leaders. The company is building the security layer for the AI era, protecting enterprises against AI-powered threats such as deepfakes, smishing, and synthetic voice attacks. Following a major Series B funding round led by industry-leading AI and venture partners, the company is entering a critical growth phase. Trusted by major banks, technology companies, and healthcare organizations, they are scaling rapidly to meet enterprise demand in a $200B+ market opportunity. We are looking for a Head of Machine Learning to define and build the companys ML capabilities from the ground up. ML is central to the product vision. This role is not about incremental optimization — it is about owning the strategy, infrastructure, and execution of machine learning across the organization. There is currently no dedicated ML infrastructure or ML team. You will establish the foundations: define where ML drives product value, design production systems end-to-end, and set the technical direction for how ML evolves across the company. This is a high-impact, highly autonomous role suited for someone who has built ML systems in production and is ready to architect an ML function from zero to scale. What Youll Do * Define the companys ML strategy: where ML should be applied across products, what infrastructure is required, and how to approach build vs. buy decisions. * Design and build production ML systems end-to-end — including data pipelines, model training workflows, evaluation frameworks, and inference serving. * Establish rigorous evaluation methodology to measure model quality, detect regressions, and support data-driven iteration. * Own the data strategy: determine what data is needed, how it should be labeled, how feedback loops are structured, and how models continuously improve. * Partner closely with product and backend engineers to integrate ML into customer-facing systems. * Write production-quality code within the existing codebase and contribute to architectural decisions. * Over time, help recruit, mentor, and lead the ML team as the function expands. What Were Looking For * 8+ years of experience building ML systems in production environments. * Experience standing up ML infrastructure at an early-stage startup or serving as the senior/lead ML engineer at a company. * Strong software engineering fundamentals with production experience in languages such as Python, Java, or TypeScript. * Experience with cloud-based ML infrastructure (e.g., SageMaker, Bedrock, Modal, Baseten, or similar platforms). * Hands-on experience with ML and data frameworks such as PyTorch, TensorFlow, Spark, or equivalent tools. * Comfortable working across the stack — infrastructure, backend systems, and data platforms. * Demonstrated ability to mentor engineers and elevate technical standards within a team. * High autonomy and ownership mindset, with the ability to define direction and execute without predefined playbooks. Bonus Points * Experience building ML systems for security, fraud detection, or adversarial environments. * Experience working with LLMs in production (evaluation, fine-tuning, retrieval systems, guardrails). * Background in real-time inference systems or high-throughput distributed systems. * Experience making strategic build vs. buy infrastructure decisions. * Previous startup experience in high-growth environments. Why This Role Will Pivot Your Career * Strategic AI backing: Supported by leading AI and venture investors shaping the future of AI infrastructure and cybersecurity. * Founding-level impact: Build and define the ML function from zero in a company where ML is core to product value. * Enterprise traction: Products already trusted by major banks, tech firms, and healthcare organizations. * Massive market opportunity: Positioned in a rapidly expanding AI cybersecurity space. * Leadership path: Opportunity to evolve into Head of ML as the organization scales. * Ownership & autonomy: Direct influence over architecture, infrastructure, and long-term technical direction. Benefits * Competitive salary & equity options * Health, Dental, and Vision * 401k * Hybrid flexibility Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Job DescriptionSalary: We are looking for aSolutions Engineer, specialising in Search, or GenAI, or DevOps with strong Python skills, and with relevant work experience in a software product company. You'll be helping to deploy, customize and support the Squirro platform onUnix systems. Squirros Insight Engine platform uses state-of-the-art machine learning algorithms and natural-language processing tools to analyseunstructured data.We offer a flexible work environment. This position, within the global delivery team, will implement Squirros Search and Insights applications which also integrate Large Language Models (e.g. chatGPT) using real-world client data. About the role We are looking for someone who wants to use their affinity for technology in a business context where AI solutions bring massive business value. In this role, you might facecorporate bankers who are sourcing the next big M&A opportunity, or business stakeholderswho translate business requirements into technological products. We need someone who brings the enthusiasm and interest to grow into this role. Responsibilities: * Work with partners and customers on an operational level throughout the stages of solution qualification, implementation, and support. • Implement innovative digital transformation projects, primarily in the Finance & Public Sectors., • Collaborate with Business and Engineering team members on customer use cases to deliver the solution design with the aim of meeting or exceeding the business expectations., • Provide technical expertise and run tests on the requirements and suitability of Squirros modules and features with regards to the solution scopes from customers and partners., • Engage with technical users of all levels from Squirros ecosystem of partners and customers to provide technical guidance on the development, implementation and support of solution using Squirros modules., • Extending Squirros platform with custom backend components in Python and Bash within the platforms operational sphere., • Collaborate with Engineering team members on product features required by the market and contribute towards product development., • Deploying solutions on hybrid infrastructure within Linux environment, using infrastructure code tools such as Ansible., • Advocate the adoption of our Frontend BI dashboards and execute potential custom extensions to meet users strategic objectives for Insights from Squirros platform., • Drive the generation and maintenance of documentations throughout a Waterfall or Agile project lifecycle as part of Squirros knowledge sharing policies and culture., • Drive or support project management tasks in projects that are delivered by Squirro or our partners., • Ensure high-quality delivery of Squirros solutions and proactively manage risk and dependencies. Preferred experience: • Minimum 5 years intechnical consulting,software engineering, and/or DevOps engineering roles., • Minimum 3 years in aclient-facingrole as a point-of-contact for technical and non-technical users., • Experience in implementing a full project lifecycle based on Waterfall and Agile methodologies. Projectmanagement would be an advantage., • Experienced in working with Elasticsearch in production deployments. This involves things like relevancy-tuning Elasticsearch, efficient data modelling, optimizing search and indexing performance., • Experience in writing server-side web application logic and implementingREST APIs., • Experience testing code, debugging programs and integrating applications with third- party web services., • Experience inRedisand/orPostgres/MySQL/MariaDBdatabase management., • Experience performing system administration tasks onLinuxand shell scripting., • Experience working with application development usingmicroservices architecture., • End-to-end project delivery, including the setup and deployment of IT solutions for clients, data loading, data enrichment and analysis, data visualisation, and integration. Ideally, you also have: • Unstructured data on a previous project or role., • Natural Language ProcessingandMachine Learningknowledge., • Ability to communicate and coach complex technical concepts to various levels of external technical users such as from customers and partners., • Experience in building and maintaining project documentations to support implementations executed internally or by partners., • Experience in managing and communicating product documentations to an external ecosystem would be an advantage. Who you are: • You are a smart, open-minded and curious person., • You can deal with challenges and are able to find the best technical solution., • You can identify the root cause of a problem and name it., • Strong programming experience in Python., • Experience with using Linux, • Proven track record in software systems design, implementation and coaching., • Good communication skills and an easily adaptable team player. Our tools: • Core software: Python, JavaScript, GNU/Linux, • Data storage: Elasticsearch, Postgres/MySQL/MariaDB, Redis, • Web components: Flask, FastAPI, NGINX, • Frontend components: React, • Other: Atlassian (Jira, Confluence), Git What we offer: * A start-up like environment and culture, fast-paced and agile with quick decision-making. • An environment where team members at all levels can make a difference., • Opportunity to work on search and AI projects using cutting edge technologies., • Ongoing feedback as part of our working culture to grow and develop., • We believe in life-long learning and supporting the development of our staff. About Squirro Businesses capitalize on new opportunities, improve client relations, and optimize decision-making capabilities using Squirros vertical-specific Augmented Intelligence solutions, which combine human intelligence with powerful AI. An Insight Engine at its core, we deliver contextualized insights from your most relevant data sources and displays them directly, via workbench integrations, or through self-service applications. Squirro works with global organizations, primarily in the Financial Services, Insurance, Telecommunications, and Manufacturing industries. Customers include Bank of England, Standard Chartered Bank, the European Central Bank, Henkel, and Candriam (A New York Life company). Founded in 2012, Squirro is currently present in Zrich, London, Munich, New York, and Singapore. Further information about AI-driven business insights can be found at

Job Description Company Overview: NRS is a leading provider of transportation & supply chain solutions. As a family-owned and operated company, NRS has delivered smart logistics solutions to numerous Fortune 500 companies spanning over 70 years. Whether it’s NRT, Keystone, Keystone Fresh, or Keystone Capacity, our innovative energy drives us towards new and valuable solutions for our clients, even as we continuously grow and strengthen our network. We are dedicated to creating a culture that empowers the individual and offers our associates the opportunity to apply their unique skill to the challenges facing our clients. In the office, the warehouse, or on the road, it is this commitment to our innovative spirit that unites us in common mission to push boundaries in the logistics industry. Job Overview: As a member of the Data & Analytics team within the Information Technology organization, reporting to the Manager of Data & Analytics, the Data Platform Engineer is directly responsible for building, operating, and automating internal platforms that abstract infrastructure, tooling, and operational complexity into reliable, self-service capabilities for data engineers, analysts, and data scientists. This individual will play a critical role in scaling enterprise data platforms and tools, standardizing CI/CD processes, ML Ops and deployment frameworks, monitoring and optimizing systems to ensure performance and reduce costs, as well as streamlining data management activities for our data owners and stewards, such as data quality and metadata management automations within the platform. Why this job’s a big deal: As part of a small Data and Analytics team you will have the opportunity to perform a wide range of tasks and manage a modern data technology stack including Snowflake on AWS, Fivetran, dbt, Github, Power BI, and related integrations. You will be the point person for the configuration and operation of all the data platforms and tools, responsible for security administration, cost management, integration, monitoring, resiliency, DataOps processes, MLOps processes, and automations using Python and SQL scripts. You’ll also wear multiple hats on the team, backing up team members in their responsibilities including data engineering tasks and helping translate business needs into technical solutions consistent with enterprise architecture best practices. We value ownership and accountability while building our external products to be the best in the world for our customers. We need an innovator that will solve complex technical problems, drive new data initiatives and introduce positive change in a highly engaged, collaborative environment, helping us leverage the value of data for our customers, partners, and employees. Job Description: Lead, Manage, and hold Accountable • Support and promote the company values, culture, and HR processes, • Establish technical standards, best practices, and architectural guidelines for data and analytics, • Provide thought leadership on emerging technologies, tools, and methodologies in data engineering, platform engineering, and analytics., • Mentor and develop team members in good data engineering principles and platform features, fostering technical growth and career development., • Ensure adherence to data governance, security, and compliance policies across all data and platform initiatives., • Architect and maintain enterprise-scale data pipelines, ingestion, storage, and transformation processes using Fivetran, dbt, and Github., • Implement and enforce data quality, lineage, observability, and certification processes with the platform., • Integrate metadata from across the platform to support data quality, metadata management, and end-to-end observability., • Integrate and automate activities and processes to help data architects and owners manage security approvals, retention, master data, metadata, and reference data policies., • Oversee deployment and operationalization of analytics, reporting, and machine learning platforms., • Monitor, support, and troubleshoot issues with data platforms, tools, connections, pipelines, security, and data users., • Identify opportunities to leverage data and analytics for business impact and operational efficiency., • Design and deliver scalable, reusable data products and platforms that enable self-service analytics., • Prototype and evaluate emerging technologies, frameworks, and tools for adoption in enterprise data platforms., • Automate manual processes and standardize workflows to reduce friction and improve agility., • Collaborate with business and team to understand data needs, translate requirements, and prioritize initiatives., • Serve as a trusted advisor for analytics strategy and platform capabilities., • Communicate progress, challenges, and risks to leadership and business stakeholders in a clear and actionable manner., • Foster strong partnerships with cross-functional teams, including IT, finance, and operations., • Advocate for data-driven decision-making across the organization., • In the first 15 months:, • Decrease data product development time by 25% through automation of manual processes, • Automate platform administration tasks by 80% through integrations and stored procedures, • Decrease data ingestion and compute costs by 20% through optimization and improved ingestion processes, • Automate capture of 10 data quality metrics in Snowflake for all data products, • Standardize 7 data quality test package in dbt for data engineers to add to all data products, • Bachelor’s degree in Computer Science, or a related field, or equivalent practical experience., • 5+ years of experience in platform engineering, database administration, or related technical roles., • 3+ years of experience in data engineering, • 5+ years of Python., • 5+ years of SQL., • 2+ years of dbt, with demonstrated ability to design modular, decoupled, and reusable systems using sound software engineering principles., • 2+ years of AWS experience, including Lambda, S3, Step Functions, Glue, Athena, SNS, EventBridge, or other relevant data-related services., • Exposure to machine learning platforms or advanced analytics use cases (preferred)., • Familiarity with Power BI tenant administration and security (preferred)., • Design and operate enterprise-scale data platforms (data warehouses, lakehouses, or hybrid architectures); proficiency with Snowflake is a plus., • Build self-service platforms, reusable frameworks, or internal developer tools., • Strong understanding of distributed systems, columnar performance tuning, and scalability considerations., • Familiarity with security best practices, including IAM, secrets management, and least-privileged access., • Conceptual understanding of networking and server infrastructure (enough to integrate with networking/infrastructure teams)., • Excellent written documentation and code commenting., • Excellent verbal communication and interpersonal skills., • Understanding of data governance and management principles., • Continuous learning mindset; stays updated with emerging data analytics technologies and techniques. NRS is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. #NRSIND

Job Description Senior Frontend EngineerWe’re looking for a Senior Frontend Engineer to lead the development of modern, high-performance user interfaces for a fast-scaling, AI-enabled SaaS platform. In this role, you’ll take ownership of our UI architecture, contribute to a growing design system, and deliver pixel-perfect experiences across browsers and devices.You’ll work closely with product and design teams to shape intuitive, accessible, and responsive interfaces that elevate the user experience. If you're passionate about clean, scalable UI and excited to build next-gen features powered by AI, we’d love to connect. Responsibilities: • Own the implementation and evolution of UI components, styling architecture, and design tokens, • Lead frontend efforts to enhance accessibility, performance, and responsiveness, • Collaborate with product and design teams to explore and validate interface patterns early in development, • Deliver pixel-perfect implementations that work seamlessly across all modern browsers and screen sizes, • Mentor frontend developers on best practices around CSS architecture, responsive design, and accessibility, • Help expand and maintain the internal design system (e.g., with tools like Figma, Storybook, etc.), • Conduct UX/UI audits and recommend improvements to drive a better user experience Required Skills:, • 5+ years of experience building modern web application UIs, • Deep expertise in HTML5, CSS3/SASS, JavaScript, Typescript, and React, • Strong experience working with and scaling design systems, • Solid understanding of responsive design, cross-browser compatibility, and mobile-first development, • Experience integrating with AI or machine learning APIs, • Skilled in translating designs into code with pixel-level accuracy, • A passion for interaction design, consistency, and building scalable component libraries Compensation:, • $150,000 - $180,000 base salary + equity

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 We're seeking a talented and experienced Senior Engineer for Network Observability to join our Network Observability team. In this role, you will be a key player in designing, developing, and maintaining the monitoring, telemetry, and observability systems that keep CoreWeave's GPU cloud network operating reliably and at scale. You'll focus on building solutions that provide real-time insights into network performance, ensuring that issues are detected proactively and resolved quickly. Your mission? To empower CoreWeave's network with advanced observability: robust metrics, powerful analytics, and automated alerting—so well-tuned that any anomalies become clear before they ever impact our customers. • Develop, optimize, and maintain network observability platforms. Use your skills in Python and Golang to create and automate collectors, exporters, and dashboards that provide deep visibility into network health and performance., • Collaborate with Network Engineering and Platform teams to ingest and unify logs, metrics, and events from a variety of platforms (Arista EOS, NVIDIA Cumulus Linux, Nokia SR OS, SR Linux, etc.) into a single observability pipeline., • Design and implement scalable telemetry solutions using protocols like gNMI, SNMP, and streaming analytics. Ensure advanced alerting and anomaly detection with tools such as Prometheus, Grafana, and Alertmanager., • Work closely with network developers, site reliability engineers, and security teams to integrate observability solutions across the broader infrastructure. Participate in design discussions, RFCs, and architectural decisions., • Join a rotating on-call schedule to troubleshoot and resolve observability-related issues. Provide timely support to operations teams, quickly isolating and fixing problems when they arise., • Deep familiarity with Prometheus, Grafana, Alertmanager, gNMI, and SNMP. Experience writing or extending custom metric collectors/exporters is a plus., • Experience as a Network Engineer, SRE, Software Developer, or Systems Administrator in large-scale environments. A track record of building and operating robust telemetry and monitoring solutions is a plus., • Passion for automating tasks and processes. You find satisfaction in creating workflows that handle repetitive tasks and reduce human error to near zero., • Comfortable containerizing solutions in Kubernetes, designing, building, and deploying container-based workloads efficiently., • Proficient with Python, Go, and Bash, plus familiarity with configuration management and templating tools (e.g., Ansible, Jinja2). ., • Strong knowledge of Linux systems and IP networking concepts, with hands-on experience in routing, switching, and network troubleshooting., • Practical knowledge with a variety of platforms, including Arista EOS, NVIDIA Cumulus Linux, Nokia SR OS, and SR Linux., • College Education: Bachelor's degree in Computer Science or a related field., • Machine Learning for Anomaly Detection: Hands-on experience applying ML techniques or tools (e.g., TensorFlow, scikit-learn) to proactively detect performance or security anomalies in network traffic., • Network Certifications: Certifications like CCNA, CCNP, or similar., • Advanced Metrics & Analytics: Hands-on experience with data pipelines, event correlation, or anomaly detection in large-scale environments., • 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 $139,000 to $204,000. 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 Description Basic Qualifications: • Knowledge of different compilation steps (and ability to fix) in languages such as Go, C, C++, or Java., • Excellent communication skills and the ability to collaborate effectively with cross-functional teams, • Ability to mentor and grow a group of other Software Engineers, • Ability to lead projects with several cross-org dependencies and design complexities, • Large-scale training using data structures and algorithms, • Modern machine learning algorithms (e.g., tree-based techniques, supervised, deep, or probabilistic learning) Preferred Qualifications • PhD or equivalent in Computer Science, Engineering, Mathematics or related field, • 8+ years of experience in professional software development experience, developing and deploying systems in production environments, • Machine Learning Software such as Tensorflow/Pytorch, Caffe, Scikit-Learn, or Spark MLLib, • Excellent communication skills and the ability to collaborate effectively with cross-functional teams, • Ability to mentor and grow a group of other Software Engineers, • Anomaly Detection Techniques, • Deep Learning, • Scalable ML architecture, • Feature management, • Causal ML, • Reinforcement learning Anticipated base 250-280k + bonus + equity and comprehensive benefits

Job Description Software Engineer -Senior and Principal levels (multiple openings) Our client is a well-established, growing software company. Their Linux application is developed using Scrum Agile methodology. Most development is done in C language; some Python is used. As the company experiences this period of growth we are looking for talented individuals who are motivated by overcoming difficult technical challenges in a collaborative environment to join the team. Ideal candidates for these positions will love to code and have extensive experience developing algorithms and data structures for multi-threaded high performance software in C on Linux platforms. Experience developing software for data protection, backup or data storage applications is desired. Hybrid position working in the office 3 days per week. Responsibilities: • Work as a member of a Scrum team on the design and maintenance of software, • Develop and assist in definition of new product features and requirements, • Integrate software modules and ensure the system operates to meet requirements, • Develop and implement unit automated tests and quality improvements, support QA testing, • Be a key contributor in this small, challenging and collaborative environment, • reverse engineer complex data formats a plus, • manage your work and time with a hybrid work model, • BS or MS in Computer Science or other technical discipline or equivalent experience, • Strong skills in C programming and development on Linux platforms, • Extensive knowledge of data structures and algorithms, • A lot of focus is on performance and optimization. Experience developing high-performance algorithms and analyzing code to optimize is desired, • Experience with Python scripting is greatly preferred. Bash is a plus, • Team player with strong interpersonal skills, • Familiarity with Microsoft development environments a plus, • Experience with any of the following is a plus: data protection, backup, data storage; pthread; security; ransomware; embedded systems development with C; parallel, distributed or complex system programing project experience; machine learning; writing software that manipulates data at the bit and byte level.

Job Description At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role As the Staff Data Scientist (VP) on the AI Science team, you will be responsible for designing and leading high-impact data science initiatives that drive business value across the enterprise. Reporting to the Executive Director of AI Science, you will play a critical role in shaping data-driven strategy, developing advanced statistical and machine learning models, and delivering insights that inform decision-making, optimize operations, and uncover new growth opportunities. You will act as both a technical thought leader and a strategic partner, fostering a culture of rigorous experimentation, reproducibility, and responsible AI adoption while mentoring the next generation of data scientists. Key Responsibilities: • Lead the design and execution of data science projects that solve complex business problems across critical workflows., • Develop and apply advanced AI/ML methods including statistical modeling, causal inference, forecasting, optimization, and machine learning., • Partner with stakeholders to translate business challenges into analytical frameworks, ensuring results are actionable and aligned with strategic priorities., • Drive the adoption of emerging analytical techniques and tools (e.g., generative AI, LLM-based analytics, simulation modeling, RAG for knowledge discovery)., • Collaborate with ML engineers to scale prototypes into production-ready systems, ensuring reliability, fairness, and generalizability., • Design and maintain metrics and experiments (A/B testing, uplift modeling, KPI design) to measure model and business impact., • Communicate findings through compelling data storytelling, dashboards, and executive-level presentations., • Provide thought leadership in responsible AI practices, ensuring transparency, fairness, and compliance with internal governance and external regulations. Qualifications: • 8+ years of experience in data science or applied statistics roles, with a proven track record of driving measurable business impact., • Expertise in one or more of supervised and unsupervised machine learning, deep learning, time series analysis, causal inference, and statistical modeling., • Experience leading end-to-end data science projects from ideation to delivery, including business scoping and stakeholder management., • Strong proficiency in Python (or R), with deep experience using modern data science libraries (e.g., Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Statsmodels)., • Solid foundation in SQL and data wrangling across large, complex datasets., • Hands-on experience with experimentation platforms, data visualization, and dashboarding tools (e.g., Tableau, Power BI, Plotly)., • Familiarity with cloud-based data platforms (AWS, GCP, Azure) and collaborative tools (Databricks, Snowflake) is a plus., • Exceptional ability to translate technical results into clear, actionable insights for senior executives and non-technical audiences., • Master's or PhD in Statistics, Data Science, Computer Science, Economics, or a closely related discipline. Preferred Qualifications: • Experience working with Palantir platforms (Foundry, AIP, Ontology) to develop, analyze, and operationalize data-driven insights within enterprise-scale environments., • PhD in Data Science, Statistics, Computer Science, or a related quantitative discipline. Publications in top-tier AI/ML or data science conferences or journals (e.g., NeurIPS, ICML, KDD, AAAI, ACL, JASA)., • Recognized contributions to the open-source data science / ML ecosystem (e.g., libraries, frameworks, toolkits, widely adopted notebooks)., • Track record of thought leadership through invited talks, keynote presentations, or leadership roles in professional societies, conferences, or meetups., • Experience mentoring teams at scale and establishing standards for reproducibility, experimentation, and responsible AI., • Familiarity with vector databases, knowledge graphs, and LLM application frameworks for advanced analytics. Position Location This is an onsite position, with flexibility, based in our New York City office. Compensation The base salary for this position is $290,000-$299,000. A discretionary bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description Engagement Type: Independent Contractor Work Mode: Fully Remote Contract Type: Project-Based (Short-Term, Extendable) Role Overview: collaborating with a leading AI research lab to support the evaluation of advanced machine learning systems. We are seeking experienced machine learning engineers and researchers to contribute to the design of high-quality evaluation suites that measure AI performance on real-world machine learning engineering tasks. The work focuses on translating practical ML research and engineering workflows into structured benchmarks for frontier models. This is a project-based, remote opportunity suited for experts with hands-on ML research experience. Key responsibilities * Design and write detailed evaluation suites for machine learning engineering tasks * Assess AI-generated solutions across areas such as model training, debugging, optimization, and experimentation Ideal qualifications * 3+ years of experience in machine learning engineering or applied ML research * Hands-on experience with model development, experimentation, and evaluation * Background in ML research (industry lab or academic setting strongly preferred) * Strong ability to reason about ML system design choices and tradeoffs * Clear written communication and high attention to technical detail We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request. Contract and Payment Terms • You will be engaged as an independent contractor., • This is a fully remote role that can be completed on your own schedule., • Projects can be extended, shortened, or concluded early depending on needs and performance., • Your work atwill not involve access to confidential or proprietary information from any employer, client, or institution., • Payments are weekly on Stripe or Wise based on services rendered.

Job DescriptionJob Description Summary – AI Optimization Engineer (Onsite, Jersey City, NJ) We are seeking an experienced AI Optimization Engineer to support large-scale AI/ML and Generative AI workloads for an enterprise environment. This role focuses on optimizing, deploying, and managing machine learning and large language models (LLMs) on GPU-accelerated HPC infrastructure. The ideal candidate will have strong experience in Python-based machine learning, deep learning frameworks, model optimization techniques, and scalable AI infrastructure. The engineer will work closely with AI, infrastructure, and DevOps teams to design efficient model training and inference pipelines, implement SLURM-based workload orchestration, and deploy containerized ML solutions in production environments. Responsibilities include optimizing model performance using techniques such as pruning, quantization, and knowledge distillation, managing inference workflows using Triton Inference Server, and monitoring system performance using Prometheus and Grafana. This role requires hands-on experience with HPC environments, GPU clusters, containerization technologies, and Linux system administration, along with strong knowledge of machine learning algorithms, deep learning architectures, and modern AI development tools. Experience with cloud platforms, vector embeddings, and enterprise-scale AI deployments is highly preferred. Core Responsibilities * Design and optimize AI/ML workloads on GPU-based HPC clusters. * Deploy and manage large language models (LLMs) in scalable production environments. * Implement model optimization techniques including pruning, quantization, and knowledge distillation. * Develop and manage automated job scheduling using SLURM with REST and Flask APIs. * Deploy ML models using containerized microservices architectures. * Monitor system performance using Prometheus and Grafana. * Optimize inference pipelines using Triton Inference Server and TRTLLM. * Conduct exploratory data analysis and model performance evaluation. * Collaborate with infrastructure and ML teams to improve scalability and efficiency. Skills Required The AI Optimization Engineer must have strong experience in Python-based machine learning and deep learning, including NumPy, scikit-learn, TensorFlow, PyTorch, and Keras, with hands-on knowledge of supervised and unsupervised learning, neural networks, transformer-based models, NLP, CNNs, and Generative AI concepts. The role requires expertise in AI infrastructure and optimization, including HPC environments, GPU clusters, SLURM workload management, Triton Inference Server, TRTLLM, and model optimization techniques such as pruning, quantization, and distillation for scalable LLM deployment. Candidates should also have experience with DevOps and deployment tools such as Docker, Kubernetes, MLFlow, Terraform, Jenkins, GitHub, and HuggingFace, along with strong skills in performance monitoring using Prometheus and Grafana. Additional requirements include Flask API development, Linux administration (RHEL/CentOS), container runtimes like Enroot, Pyxis, and Podman, and experience with data analysis and visualization tools such as Plotly, Seaborn, and Matplotlib.

Job Description At TWG Group Holdings, LLC (“TWG Global”), we drive innovation and business transformation across a range of industries—including financial services, insurance, technology, media, and sports—by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role As Executive Director on the AI Science team, you will lead the design and execution of high-impact AI and data science initiatives that directly shape TWG Global’s competitive advantage. Reporting to the Managing Director of AI & Data, you will act as a senior technical leader—driving enterprise-critical projects, setting technical direction, and mentoring a small team of data scientists. You will partner closely with senior executives across the firm to align data science solutions with strategic priorities, ensuring adoption of advanced AI methods in a responsible and scalable way. This role requires deep technical expertise coupled with the ability to influence decision-makers and deliver measurable outcomes at the enterprise level. Key Responsibilities: • Lead execution of flagship AI/ML projects that drive measurable value in financial services and adjacent sectors., • Act as senior technical authority on advanced AI methods (generative AI, causal inference, LLM-based analytics, RAG, simulation)., • Translate complex business challenges into enterprise-level data science solutions with tangible ROI., • Mentor and guide a small team of data scientists, fostering technical excellence, rigor, and responsible AI adoption., • Partner with business leaders, MDs, and executive committees to ensure AI initiatives align with firm-wide priorities., • Represent TWG Global in external technical forums and partnerships with universities, regulators, and technology leaders., • Define standards for experimentation, reproducibility, and governance of AI solutions. Qualifications: • 10 or more years of experience in data science or machine learning, with proven delivery of enterprise-impact projects., • Strong expertise in advanced machine learning, causal inference, deep learning, and statistical modelling., • Demonstrated success leading end-to-end projects and influencing senior stakeholders., • Hands-on technical depth in Python (or R), cloud-based platforms, and modern ML frameworks., • Experience mentoring or leading small, high-performing teams., • Master's or PhD in Data Science, Statistics, Computer Science, or a related discipline. Preferred Qualifications: • Experience working with Palantir platforms (Foundry, AIP, Ontology) to develop, analyze, and operationalize data-driven insights within enterprise-scale environments., • Experience establishing standards for reproducibility, experimentation, and responsible AI., • Familiarity with vector databases, knowledge graphs, and LLM application frameworks for advanced analytics. Position Location This is an on-site position based in Santa Monica, CA. Candidates based in New York, NY will also be considered. Relocation support is provided for qualified candidates. Compensation The expected base pay for this position is $350,000-409,000. A discretionary bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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 Mechanical Engineer at Radical AI you will design and build a suite of novel robotic and autonomous systems to drive a first of its kind material science research and discovery laboratory. Our Mechanical Engineering team owns all aspects of the physical manifestation of our technology. You will help define design requirements from a greenfield solution space and then execute on 3D design, prototyping, validating, and installing mechanical systems within our lab. You will solve a vast array of interconnected problems involving material handling, precision motion control, and refitting state of the art laboratory and metallurgical equipment for automation and programmatic control. You will take ownership of individual projects and subsystems and bring them to completion using your knowledge of rapid prototyping and low volume manufacturing techniques. Your hardware will fit in seamlessly with the Radical AI branding language and smoothly interface with peripheral systems and equipment. You’ll leverage your experience and expertise to become an indispensable contributor to collaborative engineering initiatives.Mission • Contribute to and actualize the vision of the Mechanical Engineering team as we tackle solving complex and interconnected material handling challenges, and innovate novel solutions to automating the operation of existing equipment and systems., • Use your 2D and 3D visualization skills to communicate complex ideas, designs, and geometries in group ideation sessions that include a non-technical audience., • Design complex systems and assemblies in CAD to demonstrate viable solutions to automation challenges., • Rapid prototype to prove design efficacy, then facilitate part fabrication from outside vendors to build your system and integrate it with software and controls., • Help shape the culture of the hardware team by leading from the front and demonstrating a disciplined sense of organization, eye for detail, and an impeccable level of polish and craftsmanship., • Bring an attitude of collaboration and openmindedness, to facilitate fearless and creative problem solving that empowers our team to ship world class technology at an unprecedented speed.About you, • Minimum B.S. in Mechanical Engineering or a closely related field., • 3-5 years industry experience in mechanical engineering involving part and assembly design., • Proficiency with CAD software, we use SOLIDWORKS., • Well versed in common rapid prototyping and part fabrication techniques and DFM best practices., • CNC part design, sheet metal part design, 3D printing, metal casting, etc., • Proven track record of delivering novel mechanism and machine designs. Excellent hands on fabrication and assembly skills., • Excellent communication and interpersonal skills.Pluses, • Experience in industrial automation settings and design of automation equipment., • Familiarity with 6 DOF arms cobots, and their implementation., • Experience with PLCs, motor drivers, and motion control systems. Experience with simulation and analysis tools like FEA or CFD., • Experience or exposure to the design and utilization of material handling systems., • AMRs, ASRS, conveyance systems, etc.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.

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: We are hiring a Staff Machine Learning Engineer to drive the design, development, and deployment of machine learning systems that power our core products in User Growth and Monetization. You will work on building deeply personalized user experiences that drive business growth and meet individual needs and preferences: by targeting the right users with the right products at the right time, we empower product teams to drive meaningful growth in revenue and user engagement while enhancing user satisfaction. The Growth Product Group is responsible for the development of paid features to accelerate dating outcomes, driving engagement throughout a user’s lifecycle and making Hinge the dating destination for all communities. You can expect to work on a broad range of problems, from identifying how to send the right message to the right user at the right time to optimizing the efficacy of our paid offerings. This is a fast growing team, and you will help define the vision and strategy that drives meaningful growth and accelerates machine learning at Hinge.Responsibilities: • Lead the end-to-end development of production-grade ML systems such as user targeting models that will help drive engagement, improve dating outcomes and/or improve user adoption of and engagement with paid features, • Define and own the technical roadmap for ML within your product area and align with company-wide priorities, • Collaborate closely with ML Engineers, Data Scientists, and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process, • Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering impact to our daters incrementally, • Keep abreast of and bring to Hinge applicable cutting-edge research, technologies, and best practices in the ML/AI space., • Mentor and educate ML Engineers on current and up and coming research, technologies and best practices of doing ML at scale., • Ensure the ethical and responsible use of ML/AI and compliance with privacy regulations to protect user data, • Communicate effectively to audiences of various technical and non-technical backgroundsWhat We're Looking For:, • Strong programming skills: Proficiency in Python and ML libraries such as PyTorch, • Domain expertise: Deep understanding of machine learning, deep learning, and emerging AI technologies. Proven track record of building, debugging, and fine-tuning machine learning for user facing products. Experience with causal inference, uplift modeling, and interventional data collection is a plus., • System design & architecture: Strong background in setting up and optimizing ML infrastructure, including containerization (Docker), orchestration (Kubernetes), and CI/CD workflows for ML (e.g., model versioning, automated testing)., • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, KubeFlow, or Weights & Biases is a plus., • Data engineering knowledge: Skills in handling and managing large datasets including data cleaning, preprocessing, and storage. Good understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow., • 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.., • Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes., • 5+ years of experience, depending on education, as an MLE, with at least 2 years in a senior or staff-level role, • Previous experience in User Growth or Monetization, • 3+ years of experience designing and developing end-to-end, production grade ML systems, • 4+ years of experience working in a cloud environment such as GCP, AWS, Azure, • 3+ years of experience leading projects with at least 1 other team member through completion. #Hinge

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 in the Robotics and Automation group at Radical AI you will focus on vision and perception systems to design, deploy, and scale robust vision-guided automation in fast-moving lab environments. Your experience and vision will shape both the physical and systematic implementation of lab automation. You will collaborate closely with Roboticists, Mechatronics, Mechanical Engineering and Material Scientists to meet rigorous and sometimes dynamic design requirements at a profound deployment speed. Mission • Design, implement, and deploy 2D and 3D vision systems for robotic manipulation, inspection, state verification, and sensor fusion, • Develop vision-guided automation solutions integrating cameras, lighting, optics, and robots in laboratory and industrial environments, • Implement perception pipelines for object detection, segmentation, pose estimation, and feature extraction, • Own camera calibration, and system-level accuracy validation, • Develop novel algorithms for state estimation of fluids and particle flows, • Integrate vision outputs with robot motion planning, grasping, and task execution, • Tune and harden vision systems for robustness against variability in materials, reflections, and environmental conditions, • Collaborate with software, mechatronics, and mechanical teams to translate experimental and operational needs into automated solutions, • Contribute to technical direction, architecture decisions, and best practices across the robotics, perception, and automation software stack, • Bring an attitude of collaboration and open-mindedness, to facilitate fearless and creative problem solving that empowers our team to ship world class technology at an unprecedented speed.About you, • Master’s, Doctorate (or equivalent experience) degree in Robotics, Computer Vision, Electrical Engineering, Computer Science, or a related field, • 5+ years of experience designing and deploying machine vision systems in robotics or automation environments, • Strong hands-on experience with 2D/3D cameras, lenses, lighting, and optics, • Proficiency in Python and/or C++ for production software development, • Experience with common vision libraries and frameworks, • Experience solving novel computer vision problems, • Experience with simulation, sim2real and domain randomization in a computer vision domain, • Experience integrating vision systems with industrial robots and motion platforms, • Experience with robotic control frameworks (e.g., ROS/ROS2 or equivalent custom systems), • Ability to work independently in a hands-on, development-oriented environment., • Strong communication skills and ability to collaborate across engineering and scientific disciplines.Pluses, • Deep automation experience outside of vision, • Experience in laboratory automation, materials science, or scientific instrumentation, • Prior startup experience or ownership of systems from early prototype through productionWhat 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, • 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 At E Tech Group, joining our team means joining a group of passionate and forward-thinking experts. We're one of the largest engineering and system integration firms in the United States providing value for our clients through IT automation and control solutions for more than 30 years to the Life Sciences, Mission Critical, Metals & Mining, Warehousing & Distribution, and CPG/Food & Beverage industries. Our national scale allows us to help our clients develop and implement standardized solutions at any of their facilities regardless of physical location or the local resources available at that site. We are seeking an Senior Application Engineer to be responsible for initial consultation with the customer, as well as estimating and proposal development for industrial automation solutions including food & beverage, life sciences, and chemical industries. The projects span the range of process control and machine control automation applications. You will also own and develop methods, tools, and processes in estimating and proposal development for the entire enterprise. You will: • Meet with customers to review the technical scope and engineering requirements and work with local E Tech Group Business Development Managers in the sales pursuit process., • Prepare work to be estimated by gathering proposals, blueprints, specifications, and related documents., • Quote normal Control Panel / PLC / HMI projects without much assistance, calling in engineering help only for niche cases., • Identify labor, material, and time requirements by studying proposals, blueprints, specifications, and related documents., • Compute costs by analyzing labor, material, and time requirements., • Resolve discrepancies by collecting and analyzing information., • Present prepared estimate by assembling and displaying numerical and descriptive information., • Prepare special reports by collecting, analyzing, and summarizing information and trends., • Maintain cost database by entering and backing up data., • Maintain technical knowledge by attending educational workshops and reviewing technical publications., • Contribute to team effort by accomplishing related results as needed., • Bachelor's degree in Engineering or equivalent experience and educational background, • 5+ years of Industrial Automation experience directly related to design, controls, programming, and electrical engineering, • Past experience of extensive use of the Company's Methods, Tools, and Process specific to estimating and proposal management standards., • Understanding of ERP / Project Costing Systems and parametric estimation tools., • Extensive understand of customer plans, specifications, technical documentation as well as RFQ documentation, • Strong written and verbal communication skills, • A DNA comprised of collaboration and teamwork Benefits & Perks: • 401k + match + prompt enrollment. E Tech Group employees are 100% vested upon entry., • Prompt enrollment into Medical, Dental, and Vision benefits., • Generous paid time off that includes full paid vacation, paid holidays, paid family leave and personal/sick time off.

Job Description The Senior Data Engineer reports to the Sr Director of Engineering and is responsible for defining and implementing a unified data architecture to streamline and enhance data access, storage, and reporting across the company. You will define standards and best practices for data governance, meet with and understand the data and reporting needs of various teams, and create robust reporting mechanisms. Additionally, you will lead efforts to integrate AI technologies into our data workflows to unlock predictive insights and advanced analytics capabilities. The role is open to remote work in the following states only California, Colorado, Connecticut, Florida, Illinois, Louisiana, Maryland, Nevada, New Jersey, New York, Pennsylvania, Texas, Virginia, Washington and Wisconsin. Responsibilities • Design and implement a scalable, robust, and consistent data architecture, aligned with business objectives, that supports both operational and analytical needs., • Own and support data pipelines integrating data sourced across multiple systems. Deliver a highly available data platform leveraged by business users across the enterprise., • Partner with engineering teams to integrate AI and machine learning models into the data architecture, enabling predictive analytics, automation, and improved decision-making capabilities., • Work closely with business and project stakeholders to deliver data solutions for a diverse set of problems., • Help ensure security, privacy, and compliance for all data assets and workflows., • Create comprehensive documentation for data processes, structures, and pipelines. Provide training and support to ensure best practices are followed throughout the organization. Design and develop data pipelines for data collection, analysis, and related functions., • Establish and enforce data governance standards, ensuring data consistency, accuracy, and integrity across all systems and departments., • Provide thought leadership for technical architecture design, development, and deployment to support enterprise-wide data needs., • Performs related duties as requested Experience • Bachelor's Degree in Computer Science, Data Science, Mathematics, Statistics, Econometrics, Economics, or related field, • 7+ years of experience in data architecture, data engineering, or related roles., • Strong proficiency in database management systems (SQL, NoSQL), data warehousing, and data modeling techniques including Azure data technologies such as Azure Fabric, Azure One Lake, Azure SQL, Azure Data Factory, Azure Data Lake, Azure Cosmos DB, • Solid understanding of data governance, security practices, and privacy laws (HIPAA, CCPA)., • Excellent problem-solving skills and a strategic mindset with the ability to influence key stakeholders., • Prior Experience working in healthcare, clinical experience preferred Comp & Benefits: Range: $130,000-$155,000 + Bonus + Equity This is the range of pay for candidates nationally. Sollis is a multi-state employer and this rate/range may not reflect the pay for positions that are performed solely in localities outside of this location. Furthermore, actual pay is dependent on several factors that may include but are not limited to years of experience within the job, years of experience within the required industry, location, education, etc. Our people are our greatest asset, so we designed a comprehensive compensation and benefit package that matches. Some of our offerings include: • Excellent benefits, including healthcare, dental, vision, • 401K with 3% match, • Unlimited PTO and Generous Sick Time, • 12 Observed holidays, • Free Sollis Health membership for you and your eligible family members, • Employee stock options offering, • Annual professional development allocations Sollis Health is the first and only medical membership that's on-demand 24/7, 365. We live up to the concierge promise: with just one call, our members experience unparalleled care and follow-up on their schedule and their terms. Our members never wonder if it's a "real" emergency. They simply call Sollis for immediate access to ER-trained medical teams, on-site labs and imaging, expedited specialist appointments, and care navigation that's all under one roof. With unlimited 24/7 virtual and in-person support from locations in Manhattan, the Hamptons, Los Angeles, South Florida, and San Francisco, Sollis puts our members in first class by handling all medical issues—big or small—with expert concierge care anytime, anywhere.

Job Description IT Field Service Engineer (Level II MSP Experience Required) Location: New York Metro Area Work Type: Onsite - Field-Based (Travel Required) Salary: $60 000 - $70 000 per year Step into the Future with Netsurit! Ranked #305 on Inc. 5000 Americas Fastest-Growing Private Companies and winner of the 2024 Global MSP501 Top 500 Managed Service Providers, Netsurit is not just solving IT problems, were shaping the future of AI-powered innovation. Help us design, implement, and scale intelligent solutions that empower businesses to automate processes, uncover insights, and accelerate growth. You will work with cutting-edge tools like Microsoft Copilot, Azure AI, and custom machine learning models to turn data into meaningful business outcomes. Show us your AI experience and ideas in your application we would love to see how you can help us drive what is next! What You will do • Deliver on-site and remote IT support for clients across the NJ/NY Metro area., • Implement and troubleshoot advanced technologies in networking, virtualization, and cloud environments., • Configure systems and network architecture for new and existing clients., • Install and support multi-vendor hardware: Servers, SAN, LAN, WAN, VPN., • Monitor Disaster Recovery and Business Continuity solutions., • Provide exceptional client service and document all work clearly and professionally., • Collaborate on AI-driven projects that enhance automation and efficiency. What You Bring • 5+ years of IT support experience (MSP background required)., • Strong technical skills in:, • Active Directory, Group Policy, • Microsoft Azure, Intune (Android/iOS), • VMWare / Hyper-V, LAN/WAN, Wi-Fi, Firewalls, • Windows Server OS (install, troubleshoot, maintain), • Mac OS (must-have), • Bonus: Basic Linux knowledge and any AI/automation experience., • Excellent communication and documentation skills., • Valid driver’s license and reliable vehicle for travel in NY Metro., • Industry certifications are a big plus! Why Netsurit? • Dream-Driven Culture: Your goals matter here., • Award-Winning Company: Ranked #305 on Inc. 5000 and Global MSP501 Winner., • Global Leader: 27 years of excellence serving 600+ businesses., • Career Growth: Mentorship, training, and advancement opportunities., • Competitive Perks:, • Excellent benefits package, • 401(k) with company match, • Travel reimbursement, • Paid holidays and PTO Artificial Intelligence Innovation: Join Netsurit at the forefront of AI transformation—where technology meets ambition. Help us design, implement, and scale intelligent solutions that empower our clients to automate processes, uncover insights, and accelerate growth. Leverage tools like Microsoft Copilot, Azure AI, and custom machine learning models to turn data into meaningful business outcomes. Be part of a team that’s shaping the future of AI-powered innovation. Please share your experience and knowledge in AI as part of your application we’d love to see how you can help us drive what’s next. Note to Agencies Principals only. No recruiters, no agencies, no unsolicited services. Company DescriptionU.S. Computer Connection is a Managed Service Provider that provides expertise in the design, assembly, and support of network infrastructures of all sizes, and addresses the ever-changing needs of today's businesses. Why Join U.S. Computer Connection: We pride ourselves on retaining our employees, giving them the opportunity to build their skills and expand their horizons. We also understand that the quality of work put in by our team members deserves a salary and benefits to match, therefore, our full-time employees are eligible to receive and participate in the following exceptional benefit package: • Competitive compensation, • Generous Health benefits, • Long Term and Short Term Disability Insurance, • 401k with a very generous match, • Generous paid time off, • Job related education assistance and certification program, • Excellent work environmentU.S. Computer Connection is a Managed Service Provider that provides expertise in the design, assembly, and support of network infrastructures of all sizes, and addresses the ever-changing needs of today's businesses. \r\n\r\nWhy Join U.S. Computer Connection:\r\n\r\nWe pride ourselves on retaining our employees, giving them the opportunity to build their skills and expand their horizons. We also understand that the quality of work put in by our team members deserves a salary and benefits to match, therefore, our full-time employees are eligible to receive and participate in the following exceptional benefit package:\r\n\r\n- Competitive compensation\r\n- Generous Health benefits\r\n- Long Term and Short Term Disability Insurance\r\n- 401k with a very generous match\r\n- Generous paid time off\r\n- Job related education assistance and certification program\r\n- Excellent work environment

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role Charlie Health leads the nation in high-acuity virtual behavioral care, having delivered life-saving treatment to more than 100,000 clients nationwide. Our Matching and Outcomes team builds products to measure and improve clinical outcomes, including provider recommendation systems for clients and clinical decision support tools, enabling durable and effective treatment. You'll create predictive models and workflows to match patients with the best-fit therapists and peers, and enable clinicians to tailor care to each client's individual needs. The systems you build will help clinicians condense and synthesize knowledge across our clients and providers into actionable guidance at every moment. If you care about using data-driven insights to improve outcomes, this team is for you. Responsibilities • Design, train, and evaluate machine learning models and AI systems that drive meaningful business impact, • Identify opportunities to introduce or improve data-driven algorithms and automated solutions in partnership with clinical, design, data science, and product teams, • Pioneer new approaches to measure and validate outcomes impact through advanced experimentation and causal inference techniques, • Utilize ML infrastructure to serve model inferences in real time using live data streams, • Write production code within a backend Python monolith to invoke ML predictions., • A bachelor's degree in a technical field, plus 4+ years of professional experience developing and delivering production software, including machine learning models; OR, • A master's or doctorate degree in a technical field, plus 2+ years of professional experience developing and delivering production software, including machine learning models., • Expertise in Python for ML (pandas, sklearn, etc.) and backend server development (FastAPI), • Strong SQL skills and experience navigating analytical and transactional databases to assess and curate high-quality datasets, • Experience developing agentic AI workflows is a plus, • Excellent at managing ambiguity—able to break down big, messy problems into smaller parts with tractable solutions and clear iterations, • Growth mindset and sense of humor; you welcome feedback, adapt quickly in a fast-paced environment, and foster a culture of learning and fun, • This role requires 4 days per week in our NYC office (Flatiron District). The team is entirely based out of NYC.Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $170,000-$220,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job DescriptionTagup is a defense technology company founded at MIT that is redefining logistics superiority 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.

Job Description The Future Runs on Bitfarms As demand for AI and high-performance computing (HPC) accelerates, Bitfarms is building the infrastructure to meet the moment. Our US expansion and global operations are laying the foundation for scalable, energy-optimized compute designed to support next generation workloads and long-term growth. Who We Are Bitfarms (NASDAQ/TSX: BITF) is a global energy and compute infrastructure company that develops, owns, and operates high-performance data centers. With data centers across North and South America, we manage every stage of development from securing energy, producing power, and designing facilities to running world class operations. This vertically integrated approach allows us to innovate faster, operate more efficiently, and deliver infrastructure that can scale with the future of compute. Why Join Our Team At Bitfarms, voted a Great Place to Work, you will be part of a team shaping the next generation of digital infrastructure. We are at the intersection of energy and technology, two industries undergoing massive transformation. Here, your work will have real impact, powering advanced workloads that are driving AI, machine learning, and the digital economy forward. We value people who are curious, collaborative, and committed to building solutions that last. With offices in New York City, Pittsburgh, Montreal and Buenos Aires, Bitfarms offers the chance to grow your career while helping power AI and shape the future of high-performance computing. What You Can Expect at Bitfarms • A fast-moving environment where innovation and execution go hand in hand., • Opportunities to work on cutting edge projects in HPC, AI, and energy infrastructure., • A collaborative, cross border team that thrives on solving complex challenges. What We Offer • Competitive salary and bonus opportunities along with career advancement, • Top tier group insurance plan with employer cost sharing, • Group retirement savings with employer contribution, • Employee referral program, • Telemedicine & employee assistance program (EAP), • An inclusive, safe and diverse work environment We are currently looking for a Senior Data Engineer to join our team. Compensation: Expected Salary: $120,000 - $170,000 USD What You Can Expect from This Role The Senior Data Engineer will play a critical role in designing, building, and operating Bitfarms' next-generation data platform. This role is responsible for architecting and implementing a modern Data Lakehouse, establishing a data classification program aligned with a new Data Loss Prevention (DLP) initiative, and partnering closely with business and technical stakeholders to understand, classify, and govern data across the organization. This position requires strong technical depth in data engineering and architecture, combined with the ability to translate business needs, compliance requirements, and security objectives into scalable and well-governed data solutions. Key Responsibilities Data Platform & Lakehouse Architecture • Design, implement, and maintain a scalable Data Lakehouse architecture supporting analytics, reporting, and advanced workloads., • Define data ingestion, transformation, and storage patterns for structured, semi-structured, and unstructured data., • Establish best practices for data modeling, partitioning, performance optimization, and cost efficiency., • Lead the design and implementation of a data classification framework aligned with Bitfarms' security, compliance, and business requirements., • Partner with Cybersecurity and Compliance teams to support the rollout of a Data Loss Prevention (DLP) program., • Identify, tag, and manage sensitive data (e.g., financial, operational, personal, or regulated data) throughout the data lifecycle., • Work closely with business stakeholders, IT, Security, and Compliance teams to:, • Assess existing and new data sources., • Understand data usage, criticality, and sensitivity., • Define classification levels, retention rules, and access requirements., • Translate stakeholder needs into technical data models, pipelines, and governance controls., • Implement data access controls, lineage, and auditability in alignment with internal policies and regulatory requirements., • Support SOX, ITGC, and other compliance-driven data controls as applicable., • Monitor and optimize data pipelines for performance, reliability, and cost., • Troubleshoot and resolve complex data-related issues across environments., • Continuously evaluate new tools, technologies, and patterns to improve the data ecosystem., • Mentor junior engineers and contribute to internal knowledge sharing. What We Are Looking For • 7+ years of experience in data engineering or data platform roles., • Proven experience designing and implementing data lake and/or lakehouse architectures., • Strong experience with data ingestion, ETL/ELT pipelines, and large-scale data processing., • Solid understanding of data classification, data governance, and data security concepts., • Experience collaborating with security or compliance teams on data protection initiatives (e.g., DLP, data privacy)., • Ability to communicate complex technical concepts clearly to non-technical stakeholders. More Details • Work schedule: Monday-Friday, New York City office, 4 days on-site, 1 WFH NYC$120,000—$170,000 USD

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: As a Senior Data Engineer at Hinge, you will create essential data processes and contribute to components of a modern data pipeline that will be the foundation of Hinge’s decision-making ability. The systems you help create, the problems you help solve, and the support of our analytical minds, will be pivotal to the success of Hinge. Your work will enable the organization to make data-driven decisions and drive improvements, which will affect the love lives of millions of people. As a Senior Data Engineer on the team, you will be improving core functionality and implementing critical pipelines that will not only aid the Data Engineering team but also the rest of the organization. You will be working on an actual big data architecture while concentrating on real-world problems.Responsibilities: • Work with our data teams to ensure data is flowing accurately through data creation to our presentation layers., • Improve our Data Engineering stack through containerization, data modeling, developing our ETL pipelines, and more., • Use your expertise in data modeling to design, build, and maintain our analytics data warehouse, which provides clean, accurate, and robust data sets that can be leveraged for reporting, analytics, and machine learning initiatives., • Work with stakeholders and translate their needs and expectations into action items and deliverables., • Continue to learn more about the Data Engineering discipline, utilize that knowledge in your deliverables, and identify opportunities to enhance our pipelines., • Participate in our on-call rotation to ensure system reliability, promptly addressing issues to ensure smooth operations.What We're Looking For:, • 5+ years of professional/industry experience, • Proficient in Python, SQL, DevOps, and databases., • 5+ years of professional/industry experience., • Experience delivering data products from conception to delivery and with the infrastructure that supports their underlying processes., • Experience modeling data sets for different types of sources and business processes., • Passionate about designing elegant data infrastructure, tooling, and pipelines. #Hinge

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role Charlie Health leads the nation in high-acuity virtual behavioral care, having delivered life-saving treatment to more than 100,000 clients nationwide. Our Matching and Outcomes team builds products to measure and improve clinical outcomes, including provider recommendation systems for clients and clinical decision support tools, enabling durable and effective treatment. You'll create predictive models and workflows to match patients with the best-fit therapists and peers, and enable clinicians to tailor care to each client's individual needs. The systems you build will help clinicians condense and synthesize knowledge across our clients and providers into actionable guidance at every moment. If you care about using data-driven insights to improve outcomes, this team is for you. Responsibilities • Design, train, and evaluate machine learning models and AI systems that drive meaningful business impact, • Identify opportunities to introduce or improve data-driven algorithms and automated solutions in partnership with clinical, design, data science, and product teams, • Pioneer new approaches to measure and validate outcomes impact through advanced experimentation and causal inference techniques, • Utilize ML infrastructure to serve model inferences in real time using live data streams, • Write production code within a backend Python monolith to invoke ML predictions., • A bachelor's degree in a technical field, plus 4+ years of professional experience developing and delivering production software, including machine learning models; OR, • A master's or doctorate degree in a technical field, plus 2+ years of professional experience developing and delivering production software, including machine learning models., • Expertise in Python for ML (pandas, sklearn, etc.) and backend server development (FastAPI), • Strong SQL skills and experience navigating analytical and transactional databases to assess and curate high-quality datasets, • Experience developing agentic AI workflows is a plus, • Excellent at managing ambiguity—able to break down big, messy problems into smaller parts with tractable solutions and clear iterations, • Growth mindset and sense of humor; you welcome feedback, adapt quickly in a fast-paced environment, and foster a culture of learning and fun, • This role requires 4 days per week in our NYC office (Flatiron District). The team is entirely based out of NYC.Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $170,000-$220,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job Description We are seeking an exceptional Staff Machine Learning Engineer to lead the design and development of the next generation of our AI-driven fraud detection platform. You will architect large-scale ML systems that detect and prevent fraud in real time combining deep machine learning expertise with scalable engineering and domain knowledge in financial systems. This is a hands-on technical leadership role, shaping our fraud prevention roadmap and ensuring the platform evolves to meet emerging threat patterns through automation, data intelligence, and generative AI–enhanced detection models. Responsibilities • Architect and build scalable ML systems for fraud detection, anomaly detection, and behavioral analysis., • Develop and maintain end-to-end ML pipelines: data ingestion, feature engineering, model training, deployment, and monitoring., • Leverage modern AI techniques, including generative AI, to improve fraud pattern discovery and model robustness., • Design and implement real-time decision systems, integrating with transaction or behavioral data streams., • Collaborate closely with engineering, security, and risk teams to define data strategy and labeling frameworks., • Lead experimentation on model explainability, drift detection, and adversarial robustness for fraud prevention use cases., • Promote engineering excellence — automation, CI/CD, reproducibility, observability, and model governance., • Mentor and guide ML and software engineers, fostering best practices and innovation. Requirements • 5+ years of experience building ML or AI systems in production; at least 2+ in fraud, risk, or anomaly detection domains., • Proven track record designing and maintaining ML pipelines at scale., • Expertise in Python, ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn), and CI/CD (GitHub Actions, Jenkins, or similar)., • Strong understanding of supervised / unsupervised learning, anomaly detection, and statistical modeling., • Experience with big data and distributed systems (e.g., Spark, Kafka, Flink, or similar)., • Familiarity with cloud platforms (AWS, GCP, or Azure) and containerized deployments (Docker, Kubernetes)., • Strong collaboration, communication, and cross-team leadership skills. Preferred Qualifications • Prior experience with fraud or financial crime detection, identity verification, or risk scoring systems., • Domain expertise in banking, payments, or transaction monitoring, • Experience fine-tuning or adapting generative AI / large language models for pattern generation or synthetic data augmentation., • Familiarity with streaming analytics, graph ML, or time-series anomaly detection., • Knowledge of model governance, bias mitigation, and regulatory compliance in fraud contexts., • Contributions to fraud detection research, open-source, or AI publications. Appgate is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. In furtherance of Appgate’s policy regarding affirmative action and equal employment opportunity, Appgate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company’s EEO Coordinator.

Job Description About Us Applecart is the leading technology company that C-suites rely on to reach business-critical decision makers. The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders who matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart's platform uses publicly available data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those who matter most to them. We are hiring a Senior Data Infrastructure Engineer in our New York City office. About the Team: The mission of the data infrastructure team at Applecart is to build secure, reliable, and cost-efficient infrastructure that powers Applecart's data ecosystem. We design and operate the core data platforms that enable data engineers, analysts, and machine learning practitioners to deliver trusted insights and data products across Applecart. Here are a few examples of what we work on: • Enabling unified data governance capabilities for all Applecart's data assets, • Scaling our compute and orchestration layer. We're looking for a seasoned engineer leader who combines deep hands-on expertise with broad strategic impact. In this role, you won't just maintain our systems; you will help architect the evolution of our data backbone. You will be responsible for ensuring our data infrastructure scales ahead of the business' needs while setting the technical standard and mentoring the engineers who build alongside you. What You'll Do: • Design, build, and operate scalable data infrastructure that serves as the foundation for Applecart's services., • Own the roadmap for core data services (Apache Iceberg, EMR, Unity Catalog, Dagster, Snowflake) ensuring maximum uptime, reliability, and performance., • Collaborate with Principal Architect to design self-service platforms that empower other teams to deploy and manage their own workflows without bottlenecks., • Drive high-level initiatives in security, cost efficiency, and developer experience across the entire data organization., • Define data reliability standards through advanced observability, proactive monitoring, and automated alerting., • Set technical protocols and scale operational quality through proactive advocacy and documentation. You are an experienced software engineer who is passionate about data infrastructure and eager to deepen your expertise in this space. You take initiative to experiment with new tools and approaches, building POCs to validate ideas before committing to implementation. You possess a growth mindset, taking pride in solving complex problems from inception to delivery while elevating team standards. You prioritize solutions that are both technically sound and commercially viable, working in lockstep with Product managers to ensure data infrastructure enables business goals. Experiences and Capabilities You Bring: • 5+ years of software engineering experience, preferably time spent supporting or leading data infrastructure initiatives., • Deep understanding of data infrastructure reliability, scalability and observability principles., • A strong sense of ownership and a drive to deliver high-impact, autonomous results autonomously., • Excellent communication skills and the ability to collaborate across cross-functional teams and influence technical roadmaps., • Hands-on experience architecting Data Lakehouse architecture and managing cloud data warehouses (Snowflake, Redshift)., • Experience with orchestration tools (Airflow, Dagster, etc) and distributed processing framework (EMR, Spark, Ray, Kubernetes)., • Familiarity with Terraform or similar infrastructure as code tools to manage complex cloud environments., • Proficiency in Python, SQL and Bash, with the ability to quickly adopt new languages like Go as the stack evolves., • Deep familiarity with the full software development lifecycle, including CI/CD, version control, and rigorous code review standards., • Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent experience). This is a hybrid role. Work from home on Monday and Friday and in Applecart's New York City office Tuesday through Thursday. Compensation: Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compensation. The base salary range for this role is between $160,000 - $200,000 based on the candidate's experience and skills relative to the requirements listed above. The salary range provided is exclusive of discretionary annual cash bonus and equity compensation. The salary range provided for this role is specific to candidates located in the New York City area. A few facts about us: • Applecart's platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD., • Applecart is growing quickly — over the last 3 years, we've increased our bookings by 10X, grown our headcount by 4X, and we're cashflow positive., • Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle's online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party's most successful pollsters and strategists, a former CRO of a high-growth tech company with hundreds of millions in ARR, and alums of top-tier organizations like Bain, Amazon and Simpson Thacher., • Our investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, CEO of TKO and Executive Chairman of WME serve on our board., • Our work has been featured on Morning Joe on MSNBC, BloombergTV and The Colbert Report, and in Axios, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

Job DescriptionWho we are:Nitra's mission is to build a more efficient healthcare system and the technology that makes it possible. Our goal is to provide an ecosystem of fintech and software solutions that help doctors better manage their practices, so they can have time back to focus on what matters to them most. Nitra offers physicians and medical clinics around the country credit and expense management products they crucially need, as well as a medical supply marketplace, in an all-in-one platform powered by machine learning technologies. Nitra was created by unicorn founders who have successfully scaled to thousands of customers and exited $1B+ public offerings. They are joined by an ambitious and experienced team from American Express, Plaid, and Goldman Sachs. The team is backed by some of the world’s leading VCs (Andreessen Horowitz, NEA, etc.) and is supported by an expert group of advisors including the cofounders of Square and Xendit, executives from Intuit, former Governors, White House senior staffers, and a co-founder of CityMD. We're looking for:A Backend Engineer with experience in Fintech or marketplaces who will be at the forefront of our mission to bring better finance solutions to millions of businesses in the United States. We need high-achieving and goal-oriented individual who will help Nitra to deliver on an ambitious roadmap of innovative banking and SaaS products.Your responsibilities will include: • Independently communicate with Customer Support to investigate and resolve customer-reported issues., • Design database schemas and APIs for small-to-medium scoped features., • Implement features following internal engineering principles and guidelines., • Provide estimates for their own work and communicate progress and risks proactively to the team.You have:, • Deep experience with and understanding of:, • JavaScript (5+ years), • Node.js (5+ years), • Express.js framework (2+ years), • APIs (5+ years)/Building fintech backend APIs (1+ years), • Databases (PostGreSQL) (2+ years), • Architecture (2+ years), • Fintech web applications (1+ years), • The ability to see challenges as opportunities to level up. High-achieving and goal-oriented. A self-starter, you are always able to understand the bigger picture, and take a leading role to impact it., • A collaborative spirit and the ability to communicate effectively with stakeholders, Highly collaborative and transparent in your work, output, and decision making., • A winning mindset and entrepreneurial spirit., • Passion for creative thinking and bold ideas for growing the business/enhancing customer experience. Always curious, ready to ask questions, and open to being questioned., • Expert time management and organizational skills., • The desire to be mentored by a unicorn founding CTO and engineers with experience at top notch companies like Facebook. We offer:, • Equity - Everyone at Nitra is an owner. When the company wins, you win, • Competitive Salary - You’re the best of the best, and your salary will reflect your experience and reward your contributions to Nitra, • Health Care - Your health comes first. We offer comprehensive health, vision, and dental insurance options.

Job DescriptionDoran Jones is looking for a hands-on Lead QA Automation Engineer to play a strong leadership role, owning automated testing across our web products and setting the QA vision for future releases. You will architect, design, build, and run comprehensive test suites, integrate them into our CI/CD toolchain, and drive quality from planning through release in a fast-paced Agile team. Responsibilities • Define and evangelize the full-stack test strategy for functional, security, integration, regression, performance, and smoke tests., • Own the QA roadmap and communicate progress to engineering leadership., • Lead and mentor QA Engineers—document standards. Champion a quality-first culture., • Manage test data and environments. Set development standards for testability., • Build and maintain comprehensive automation. Develop UI + API tests in Playwright/TypeScript. Extend existing Selenium/Python suites when needed., • Integrate with CI/CD toolchain. Embed tests in GitHub Actions / Jenkins for quick and reliable releases., • Analyze and report defects. Log, track, and verify fixes in Jira. Provide clear, actionable feedback., • Influence Agile ceremonies (planning, stand‑ups, retro, grooming) with Dev, Product, and DevOps., • Continuously improve frameworks. Apply Page Object Model (POM) and other coding best practices., • Continuously evaluate our testing tools and benchmark them against industry best practices to ensure optimal performance. Recommend and adopt upgrades to keep the automation stack modern and efficient., • Supervise quality gates. Monitor static code analysis, vulnerability scans, and performance metrics to ensure optimal system functionality., • Establish metrics and processes, track quality KPIs, and champion process improvements to drive continuous improvement., • Attend/complete assigned information security training by the designated completion date., • Complete required information security training within assigned deadlines., • Follow ISMS security policies and procedures., • Report any observed security violations or risks promptly to leadership or the IT department.Required Experience, • 7+ years in software QA, with 3+ years focused on Playwright/TypeScript automation., • Strong coding proficiency in JavaScript/TypeScript with practical experience testing modern web applications., • Experience with CI/CD pipelines, Git, and API testing frameworks (Postman, REST-assured, Playwright API)., • Exposure to performance testing tools and methodologies., • Working knowledge of SonarQube, Veracode, and defect tracking with Jira., • Skilled in test data management, environment setup, and debugging distributed systems., • Familiarity with Microsoft D365 is a plus.

Job DescriptionBustle Digital Group (BDG) is looking for a talented Data Engineer to join our growing data team. You will work alongside the Director of Data Engineering to build, optimize, and scale our data infrastructure, supporting the development of data-driven products and insights that power our advertising, affiliate sales, and editorial content strategies. This is a fantastic opportunity to work with large-scale data pipelines, cutting-edge technologies, and a dynamic team that values innovation and impact.What You'll Do • Develop & Maintain Data Pipelines: Build scalable and efficient ETL pipelines to support analytics, reporting, and machine learning initiatives., • Optimize Data Storage & Performance: Work with large datasets to improve storage solutions, query performance, and data accessibility., • Collaborate Cross-Functionally: Partner with engineering and business teams to develop data solutions that enhance advertising, affiliate sales, and editorial insights., • Ensure Data Quality & Reliability: Implement monitoring, validation, and governance processes to maintain the integrity and security of our data., • Contribute to Data Strategy: Support the Director of Data Engineering in designing and implementing scalable data architectures and best practices.Who You Are, • Experienced Data Engineer: 2+ years of experience working with data infrastructure, ETL processes, and large-scale datasets., • Proficient in SQL & Python: Strong knowledge of SQL for querying and manipulating data, and experience with Python for scripting and automation., • Cloud & Big Data Savvy: Hands-on experience with cloud platforms (AWS, GCP, or Azure), data warehouses (BigQuery, Redshift, Snowflake), and distributed processing (Spark, Airflow, or similar)., • Experience working data generating frontends in React and TypeScript., • Problem Solver & Innovator: Passionate about solving complex data challenges and improving system efficiency., • Team Player & Communicator: Strong collaboration skills, with the ability to explain technical concepts to non-technical stakeholders.BDG Benefits, • Competitive Compensation: Market-based salary with annual reviews., • Unlimited PTO: Take the time you need to recharge and stay productive., • Health & Wellness: Comprehensive medical, dental, and vision coverage for you and your dependents., • Retirement Savings: 401(k) plan.

Job DescriptionWHO WE ARE Consumer Reports is an independent, nonprofit organization dedicated to a fair and just marketplace for all. CR is known for our rigorous testing and trusted ratings on thousands of products and services. We report extensively on consumer trends and challenges, and survey millions of people in the U.S. each year. We leverage our evidence-based approach to advocate for consumer rights, working with policymakers and companies to find solutions for safer products and fair practices. Our mission starts with you. We offer medical benefits that start on your first day as a CR employee that include behavioral health coverage, family planning and a generous 401K match. Learn more about how CR advocates on behalf of our employees. OVERVIEW Data powers everything we do at CR—and it's the foundation for our AI and machine learning efforts that are transforming how we serve consumers. The Data Engineer ( AI/ML & Data Science) will play a critical role in building the data infrastructure that powers advanced AI applications, machine learning models, and analytics systems across CR. Reporting to the Associate Director, AI/M & Data Science, in this role, you will design and maintain robust data pipelines and services that support experimentation, model training, and AI application deployment. If you're passionate about solving complex data challenges, working with cutting-edge AI technologies, and enabling impactful, data-driven products that support CR's mission, this is the role for you. This is a hybrid position. This position is not eligible for sponsorship or relocation assistance. How You'll Make An Impact As a mission based organization, CR and our Software team are pursuing an AI strategy that will drive value for our customers, give our employees superpowers, and address AI harms in the digital marketplace. We're looking for an AI/ML engineer to help us execute on our multi-year roadmap around generative AI. As a Data Engineer ( AI/M & Data Science) you will: • Design, develop, and maintain ETL/ELT pipelines for structured and unstructured data to support AI/ML model and application development, evaluation, and monitoring., • Build and optimize data processing workflows in Databricks, AWS SageMaker, or similar cloud platforms., • Collaborate with AI/ML engineers to deliver clean, reliable datasets for model training and inference., • Implement data quality, observability, and lineage tracking within the ML lifecycle., • Develop Data APIs/microservices to power AI applications and reporting/analytics dashboards., • Support the deployment of AI/ML applications by building and maintaining feature stores and data pipelines optimized for production workloads., • Ensure adherence to CR's data governance, security, and compliance standards across all AI and data workflows., • Work with Product, Engineering and other stakeholders to define project requirements and deliverables. You'll Be Highly Rated If: • You have the experience. You have 3+ years of experience designing and developing data pipelines, data models/schemas, APIs, or services for analytics or ML workloads., • You have the education. You've earned a Bachelor's degree in Computer Science, Engineering, or a related field., • You have programming skills. You are skilled in Python, SQL, and have experience with PySpark on large-scale datasets., • You have experience with data orchestration tools such as Airflow, dbt and Prefect, plus CI/CD pipelines for data delivery., • You have experience with Data and AI/ML platforms such as Databricks, AWS SageMaker or similar., • You have experience working with Kubernetes on cloud platforms like - AWS, GCP, or Azure. You'll Be One of Our Top Picks If: • You are passionate about automation and continuous improvement., • You have excellent documentation and technical communication skills., • You are an analytical thinker with troubleshooting abilities., • You are self-driven and proactive in solving infrastructure bottlenecks. FAIR PAY AND A JUST WORKPLACE At Consumer Reports, we are committed to fair, transparent pay and we strive to provide competitive, market-informed compensation.The target salary range for this position is $100K-$120K. It is anticipated that most qualified candidates will fall near the middle of this range. Compensation for the successful candidate will be informed by the candidate's particular combination of knowledge, skills, competencies, and experience. We have three locations: Yonkers, NY, Washington, DC and Colchester, CT. We are registered to do business in and can only hire from the following states and federal district: Arizona, California, Connecticut, Illinois, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New York, Texas, Vermont, Virginia and Washington, DC. Salary ranges • NY/California: $120K-$140K annually, • DMV/Massachusetts: $115K-$135K annually, • Colchester, CT and additional approved CR locations: $100K-$120K annually Consumer Reports is an equal opportunity employer and does not discriminate in employment on the basis of actual or perceived race, color, creed, religion, age, national origin, ancestry, citizenship status, sex or gender (including pregnancy, childbirth, related medical conditions or lactation), gender identity and expression (including transgender status), sexual orientation, marital status, military service or veteran status, protected medical condition as defined by applicable state or local law, disability, genetic information, or any other basis protected by applicable federal, state or local laws. Consumer Reports will provide you with any reasonable assistance or accommodation for any part of the application and hiring process.

Job Description Location: US Remote Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on behalf of a high-growth AI cybersecurity company backed by top-tier investors and strategic AI leaders. The company is building the security layer for the AI era, protecting enterprises against AI-powered threats such as deepfakes, smishing, and synthetic voice attacks. Following a major Series B funding round led by industry-leading AI and venture partners, the company is entering a critical growth phase. Trusted by major banks, technology companies, and healthcare organizations, they are scaling rapidly to meet enterprise demand in a $200B+ market opportunity. We are looking for a Staff Machine Learning Engineer to define and build the companys ML capabilities from the ground up. ML is central to the product vision. This role is not about incremental optimization — it is about owning the strategy, infrastructure, and execution of machine learning across the organization. There is currently no dedicated ML infrastructure or ML team. You will establish the foundations: define where ML drives product value, design production systems end-to-end, and set the technical direction for how ML evolves across the company. This is a high-impact, highly autonomous role suited for someone who has built ML systems in production and is ready to architect an ML function from zero to scale. What Youll Do * Define the companys ML strategy: where ML should be applied across products, what infrastructure is required, and how to approach build vs. buy decisions. * Design and build production ML systems end-to-end — including data pipelines, model training workflows, evaluation frameworks, and inference serving. * Establish rigorous evaluation methodology to measure model quality, detect regressions, and support data-driven iteration. * Own the data strategy: determine what data is needed, how it should be labeled, how feedback loops are structured, and how models continuously improve. * Partner closely with product and backend engineers to integrate ML into customer-facing systems. * Write production-quality code within the existing codebase and contribute to architectural decisions. * Over time, help recruit, mentor, and lead the ML team as the function expands. What Were Looking For * 8+ years of experience building ML systems in production environments. * Experience standing up ML infrastructure at an early-stage startup or serving as the senior/lead ML engineer at a company. * Strong software engineering fundamentals with production experience in languages such as Python, Java, or TypeScript. * Experience with cloud-based ML infrastructure (e.g., SageMaker, Bedrock, Modal, Baseten, or similar platforms). * Hands-on experience with ML and data frameworks such as PyTorch, TensorFlow, Spark, or equivalent tools. * Comfortable working across the stack — infrastructure, backend systems, and data platforms. * Demonstrated ability to mentor engineers and elevate technical standards within a team. * High autonomy and ownership mindset, with the ability to define direction and execute without predefined playbooks. Bonus Points * Experience building ML systems for security, fraud detection, or adversarial environments. * Experience working with LLMs in production (evaluation, fine-tuning, retrieval systems, guardrails). * Background in real-time inference systems or high-throughput distributed systems. * Experience making strategic build vs. buy infrastructure decisions. * Previous startup experience in high-growth environments. Why This Role Will Pivot Your Career * Strategic AI backing: Supported by leading AI and venture investors shaping the future of AI infrastructure and cybersecurity. * Founding-level impact: Build and define the ML function from zero in a company where ML is core to product value. * Enterprise traction: Products already trusted by major banks, tech firms, and healthcare organizations. * Massive market opportunity: Positioned in a rapidly expanding AI cybersecurity space. * Leadership path: Opportunity to evolve into Head of ML as the organization scales. * Ownership & autonomy: Direct influence over architecture, infrastructure, and long-term technical direction. Benefits * Competitive salary & equity options * Health, Dental, and Vision * 401k * Hybrid flexibility Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Job DescriptionAHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. We are an equal opportunity employer, and do not discriminate based on 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. We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. AHEAD’s ServiceNow Solutions Engineers are the technical experts that collaborate with our AHEAD account teams to help identify, qualify, and build solutions that support our customer’s Digital Business transformation. The AHEAD ServiceNow Solutions Engineer (SSE) will be focused on ServiceNow modules across the board. The SSE is considered a subject matter expert in these areas with responsibility for selling and designing complex solutions. The SSE is also considered an organizational thought leader for their specialty area. Responsibilities • Active participation in the AHEAD SSE and service delivery teams, • Be a thought leader for AHEAD clients, responsible for designing, architecting technical solutions, • Support the sales teams during engagements by providing advice and solutions or proposals optimized to meet customer technical and business requirements, • Develop relationships with other ServiceNow SSE team members, leaders, and partners in support of sales objectives, • Strategize and execute technical sales calls, • Complete required pre-sales documentation (configurations, pricing, services, presentations, justifications, etc.) quickly and accurately, • Qualify sales opportunities in terms of customer technical requirements, decision-making process, and funding, • Present and market the design and value of proposed AHEAD solutions and business justification to customers, prospects, and AHEAD management, • Participate in the mentorship of entry-level team members, • Possess strong, detailed product/technology/industry knowledge, • Knowledge of job-associated software and applications, • Travel required up to 30%Qualifications, • Expertise as a consultant for clients, advising on technical solutions and participating in pre-sales and solution development, • Expertise in at least one ServiceNow module, • Strong functional knowledge of the ServiceNow platform across multiple modules, • ITIL Foundations v3 or higher certification and/or working knowledge of ITIL concepts, • Working knowledge of Agile/Scrum methodology, • Passion for problem-solving to solution selling, • Knowledge of web development or mobile app development, business modeling, database concepts and project management – preferably using Agile Development Methodologies, • Exceptional oral, written and presentation skills, with ability to organize and present technical material in an easily understood manner, • Deep insight on technical architectures, IT products and product positioning., • ServiceNow certifications and accreditations are strongly desired, • Experience on other SaaS platforms such as: Tanium, Atlassian, Big Panda, Splunk, Data Dog, Logic Monitor, etc, • Understanding of JavaScript, HTML and libraries/frameworks such AngularJS, jQuery, Prototype and bootstrap fundamentals a plus, • Experience with monitoring solutions, end point collection, IoT, machine learning and other emerging technologies a plus, • Understanding of web services (e.g. SOAP, REST, WSDL, XML) a plus

Job Description We are a cutting-edge technology company at the forefront of the Artificial Intelligence (AI) revolution. Our mission is to create intelligent solutions that transform industries and drive innovation. We are seeking a talented and motivated Prompt Engineer to join our dynamic team and play a pivotal role in shaping the future of AI. Role Overview: As a Prompt Engineer, you will be a key member of our AI development team, responsible for designing and developing high-quality prompts that drive our AI models and algorithms. Your expertise in crafting effective and engaging prompts will be essential in enhancing the performance and capabilities of our AI systems. Responsibilities: • Collaborate with AI researchers and developers to understand project requirements and objectives., • Design and create a diverse range of prompts tailored to specific AI tasks and applications., • Develop creative and innovative ways to generate effective prompts that improve model performance., • Conduct extensive research to identify and curate relevant data sources for prompt development., • Ensure the prompts are designed to elicit desired responses and achieve the desired outcomes., • Optimize and fine-tune prompts based on continuous testing and feedback from AI models., • Analyze AI model outputs and make data-driven adjustments to improve prompt efficacy., • Stay up-to-date with the latest advancements in natural language processing and AI technologies., • Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred., • Proven experience in working with natural language processing and AI technologies., • Strong understanding of AI models, algorithms, and neural networks., • Experience in prompt engineering, creative writing, or content creation is a plus., • Proficiency in programming languages such as Python or JavaScript., • Solid knowledge of data collection, preprocessing, and annotation for prompt development., • Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face., • Strong analytical and problem-solving skills with a keen eye for detail., • Excellent communication and collaboration skills to work effectively in a team environment.

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: The Dating Outcomes group is responsible for ensuring that people see their most compatible matches, helping them present themselves more effectively, and start meaningful conversations when they match. In short, we help people go on great dates! We are hiring Senior Machine Learning Engineers to help us build the foundations of an AI first dating experience using the latest advancements in the field, leveraging Hinge’s years of preference data. You can expect to build recommendation systems end to end, experiment with using LLMs, photo and mixed input embedding models, as well as build and deploy real-time predictive models that directly impact the experience of millions of users. This is a fast-growing team, and you will have the opportunity to own and define the strategy, vision, and plan for accelerating machine learning at Hinge.Responsibilities • Own and contribute to foundational models that power our recommendations ecosystem., • Contribute to the research and development of models powering Hinge and experiment with the latest innovations in the field of Machine Learning (e.g., LLM agents, MMoE models, VAEs, etc.), • Design, advocate for, and implement solutions that ensure availability, scalability, operational excellence, and cost management, while delivering incremental impact to our daters., • Collaborate closely with other Machine Learning engineers, Product Managers, Data Engineers, and Scientists to understand our users' needs and identify opportunities to make their experience better through machine learning., • Mentor and educate Machine Learning Engineers on current and SOA research, technologies, and best practices of practicing machine learning at scale.What We're Looking For, • Strong programming skills: Proficiency in languages like Python, Java, or C++, • System design & architecture: Proven track record of training and deploying large scale ML models, especially DNNs. Good understanding of distributed computing for learning, data processing, and inference., • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, Databricks, KubeFlow, or W&B is a plus., • ML knowledge: Deep understanding of DNN architectures, track record of building, debugging, and fine-tuning models. Familiarity with PyTorch, TF, knowledge distillation, and recommender systems is a plus., • DevOps skills: The ability to establish, manage, and use data and compute infrastructure such as Kubernetes and Terraform., • Data engineering knowledge: Skills in handling and managing large datasets, including data cleaning, preprocessing, and storage. Deep understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow., • 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, • Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes., • 4+ years of experience, depending on education, as a Machine Learning Engineer., • 2+ years of experience working in a cloud environment, such as GCP, AWS, or Azure, and with DevOps tooling, including Kubernetes., • 2+ years of experience designing and developing online and production grade machine learning systems., • 1+ year of experience leading projects with at least 1 other team member through completion. #Hinge

Job DescriptionThe Opportunity The Dispatch is building a subscription business that is structurally durable. Our growth does not depend on algorithmic arbitrage or platform tricks. It depends on deep parasocial relationships with public intellectuals, a loyal paying member base, real-world community reinforced through in-person events, and a brand built on trust, substance, and long-term engagement. That foundation is non-disruptible in ways most digital media companies are not. We are now hiring a Head of Growth Marketing to turn that foundation into a compounding revenue engine About The Dispatch: Founded in 2019, The Dispatch is a membership-driven media company built on thoughtful reporting, intellectual honesty, and a highly engaged paying audience. We occupy a distinct position in the media ecosystem: right-of-center but fiercely independent, focused on substance over outrage. We have built a durable subscription base and strong brand equity. We are now entering the next phase of growth — scaling revenue with disciplined unit economics and higher experimentation velocity. Why This Role Matters Now The Dispatch has reached a scale where growth is increasingly nonlinear. Real-time editorial events create asymmetric acquisition opportunities. Lifecycle optimization compounds over time. Paid acquisition, product experimentation, and retention must operate as one integrated system. Our upgraded data infrastructure enables deterministic attribution and cohort-level decision making. We believe an embedded, senior growth operator will unlock materially higher revenue velocity and long-term enterprise value than a scoped or fractional model. Additionally, we believe AI is collapsing functional silos. The future of growth will not be a creative team here, a paid team there, a growth engineer somewhere else, and a data analyst writing SQL in the corner. It will be one highly capable operator who has taste, understands narrative and positioning, thinks in systems, can model payback and contribution margin, and uses AI and code fluently to execute. The best growth leaders over the next five years will be creative strategists and technical executors in the same brain. That is who we are hiring. How You'll Operate Build the Unified Growth System. Integrate paid, lifecycle, CRO, and product experimentation into one accountable operating model. Ensure attribution, segmentation, and cohort modeling are robust and decision-ready. Operate at High Velocity. Continuously test creative, offers and pricing, landing pages, paywalls, onboarding sequences, lifecycle triggers, and retargeting programs. Act quickly during editorial surges and real-time traffic moments. Convert peak attention into durable membership value. Be AI-Native. You do not “use AI for ideas.” You use AI to build systems, automate workflows, accelerate creative iteration, write and analyze SQL, generate testing frameworks, and compress insight-to-execution timelines. If you are not tinkering daily with AI tools and code-based workflows, this role is not for you. Think Like an Owner. Model growth decisions at the contribution margin level. Make capital allocation decisions based on payback dynamics. Own the growth P&L in partnership with leadership. Structural Moat The Dispatch is not competing in a race to hack distribution algorithms. We are building deep loyalty with individual writers and thinkers, a high-trust paying community, real-world event touchpoints, and a recurring revenue base that compounds. This is a long-term asset, not a traffic arbitrage machine. The growth engine you build here compounds on top of something durable. We optimize for contribution margin and payback — not vanity metrics.What You'll Own • Paid acquisition strategy and budget allocation, • Offer architecture and pricing tests, • Paywall logic, • Onboarding flows, • Lifecycle marketing / CRM, • Retention and churn reduction, • LTV expansionAccountability, • CAC, • LTV, • Churn, • CAC payback period, • Contribution margin, • Net subscription revenue growthWhat Success Looks Like (First 12 Months), • Increase net subscription revenue at improved contribution margin, • Improve LTV:CAC ratio, • Shorten payback period, • Improve trial-to-paid conversion, • Reduce early-life churn, • Increase premium mix where economically rational, • Establish a weekly experimentation cadence with measurable learning velocity, • Build a unified growth operating system (paid + lifecycle + CRO) with clean dashboards and ownershipRequired Qualifications, • 8+ years in subscription growth, • Demonstrated ownership of revenue targets, • Direct accountability for CAC, LTV, churn, and revenue, • Deep experience across paid acquisition, lifecycle, CRO, onboarding, and retention, • Financial fluency (contribution margin, payback, cohort modeling)You Likely..., • Have built growth infrastructure, not just optimized campaigns, • Can move from idea to execution without waiting on engineering, • Are comfortable in the command line, not just dashboards, • Have strong taste and narrative instincts, • Think in systems, not channelsBackgrounds That Fit, • Digital media, • Consumer subscription apps, • DTC subscription commerce, • Membership-driven businessesCompensation, • Competitive base, • Performance incentives tied to revenue outcomes

Job DescriptionAbout Clair If you can send your friends money in seconds, why does it still take your employer two weeks to send your paycheck? At Clair, we are on a mission to create financial freedom for America's workers by giving them a digital banking platform that allows them to get paid as soon as they clock out of work. But we're not just another digital bank or on-demand pay provider. We meet Americans at their place of work by embedding our products within the scheduling, workforce management, and payroll apps they already use every day. Learn more about us at getclair.com/about About the Role As a Senior Data Scientist on Clair's Data Science team, you'll be responsible for developing and maintaining the next generation of credit models and predictive systems that power Clair's financial products. You'll shape how millions of hourly workers access affordable credit, leveraging cutting-edge data science to assess risk, predict repayment, and optimize credit decisions. We're looking for someone who thrives at the intersection of data science, machine learning, and fintech, and who's excited to translate messy, real-world data into clear, actionable intelligence. This role blends credit modeling with feature engineering — from designing new model features (including predictive features) based on user transaction data to deploying and monitoring production-ready ML models that drive critical product decisions. To succeed, you'll need a deep technical foundation in machine learning and statistical modeling, hands-on experience in model deployment, and strong communication skills to collaborate with engineers, product managers, and risk teams. Key Responsibilities • Develop and maintain credit risk and repayment models that directly power Clair's underwriting and decision systems., • Design and engineer predictive features using transaction-level data, including the prediction of user income flows, spending, and repayment behaviors., • Collaborate with engineering teams to deploy, monitor, and optimize models in production environments using AWS and Snowflake ML Platform., • Build prototypes of new modeling methodologies and present them to stakeholders for evaluation and feedback., • Investigate and analyze credit performance, identifying root causes of model drift or unexpected repayment behavior., • Partner cross-functionally with product, risk, and engineering teams to turn data insights into product improvements and credit strategy refinements., • Communicate technical concepts clearly to both technical and non-technical audiences., • Stay current on best practices and emerging techniques in credit modeling, explainable AI, and financial ML systems. Minimum Qualifications • 5+ years of professional experience in data science and machine learning., • Proven track record of leading end-to-end data science projects — from research and model development to deployment and monitoring., • Experience building and productionizing credit or risk assessment models., • Strong proficiency in Python and familiarity with modern ML libraries (TensorFlow, PyTorch, XGBoost, etc.)., • Strong command of SQL and experience working with large transactional and time-series datasets., • Strong communication skills and ability to translate complex findings into actionable insights., • Experience working with cross-functional teams in a fast-paced production environment.Preferred Qualifications, • Experience in fintech or credit risk modeling., • Experience with cloud-based machine learning environments (AWS, Azure, Snowflake ML Platform, etc.)., • Familiarity with model explainability techniques and compliance requirements in financial modeling. Location: This is a hybrid position based out in New York City, you will be expected to come into the office at least three days a week (Tuesdays, Wednesdays, & Thursdays) with additional days on occasion for client meetings. Compensation: The annual base salary for this role is $165,000 to $172,000. The base pay for this role is determined using many factors, such as education, skills and experience and is reflective of Clair Series stage and size. Base pay is only one part of Clair's competitive total compensation package which includes equity, benefits and additional perks. The base pay range is subject to change and may be modified in the future. Clair will only contact candidates from @getclair.com email addresses. We will never ask for payments or sensitive personal information during the hiring process. If you happen to receive anything suspicious, please ignore it. Need more convincing? Apart from getting to work with our incredible team, here are some of the benefits you can expect when you join Clair: • Medical, Dental, & Vision Coverage, with option to extend to your family, • Fully-paid parental leave, • Company-sponsored 401k, HSA, and FSA, • Unlimited vacation for salaried roles, generous PTO for hourly roles, • Work from home setup allowance, • Access to your earnings every day on Clair

Job DescriptionPosition Summary The AI/Cloud Security Engineer is responsible for testing, installing, configuring, and maintaining cloud security solutions/tools. Additionally, AI/Cloud Security Engineer communicates findings, incidents, and concerns to security team members and leadership in a timely manner. The AI/Cloud Security Engineer should possess a strong background in AI usage to secure MedReview’s Cloud and AI Infrastructure. This role is onsite Monday - Thursday and remote on Fridays. Job Responsibilities: • Standardizing Azure Security best practices, processes, and procedures., • Experience using AI/ML-driven security tools for anomaly detection, behavioral analysis, bias testing, and threat intelligence correlation., • Ability to design, deploy, and tune AI-based security models to identify malicious traffic, lateral movement, and zero-day threats., • Proficiency in integrating AI-powered SIEM, SOAR, NDR, and XDR platforms to automate incident detection and response., • Knowledge of adversarial AI risks, including model poisoning, evasion attacks, and data integrity threats, and how to mitigate them., • Experience using AI to reduce false positives, prioritize alerts, and improve mean time to detect (MTTD) and respond (MTTR)., • Extensive Knowledge of utilizing and implementing Microsoft Purview and all its features. DLP, Auditing, etc., • Microsoft Entra Internet Access, Microsoft Entra Private Access, and Global Secure Access, • M365 Compliance and Security Centers, • Collaborating with team members to develop and document security standards and policies that align with industry’s best practices., • Finding gaps with the current security posture and assisting with finding new security products, installation, configuration, and policies & procedures., • Monitoring cloud infrastructure for security breaches. Security incident response and forensic investigation., • Investigations into how incidents and/or breaches occur and Root Cause Analyses (RCA) as a member of the incident response team., • Participation in security tabletop exercises.Required Experience:, • Very strong hands on 5-10 years' experience in Cloud Information Security and AI Security Engineering., • Must demonstrate hands-on experience levering AI and machine learning technologies to enhance overall security., • Strong Identity and Access Management (IAM), Role-Based access Control (RBAC) experience, • Strong Purview Environment Experience, • Experience monitoring Cloud Infrastructure and systems for security breaches or intrusions and working with SOC team to remediate., • Experience in some specific vertical industry (Healthcare) preferred., • Documentation of security tools, deployment configuration, incident reports, etc., • CISSP, CISM, CISA, CCSP, ITIL, IaaS, PaaS, SaaS, Azure Security Engineer Associate, or other related certification preferred., • Ability to communicate technical information in a clear manner, both written and verbally, to end users, • Experience with HIPAA, HITRUST, ISO 42001 ISO 27001, ISO 27002, URAC regulations and awareness and/or experience with CMS, NIST and other healthcare related regulations preferred., • Availability to work nights and weekends during (un)planned outages and other special circumstances, with 24/7 accountability., • Availability to enter on call rotation. 2nabIP2r4n

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: AI/ML (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. What Youll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. 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 Description At Angi®, we've had one simple mission for 30 years: get jobs done well. We make it happen by connecting homeowners with reliable pros who have the skills they need — and connecting pros with homeowners who have the jobs they want. Angi at a glance: • Homeowners have turned to Angi for more than 300 million projects, • 1,000+ home service tasks covered Angi® is defining the future of the home services industry, creating an environment where homeowners, pros, and employees benefit from more jobs done well. For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you. About the team Angi is seeking an exceptional Staff Machine Learning Engineer who can enable our transformation into a world-class online marketplace. The role is in our Data Science and Machine Learning team, tackling challenges such as homeowner-pro matching, search ranking, and using predictive models to optimize our product and consumer experience. This is a technical leadership role where you will apply state-of-the-art machine learning and AI techniques such as LLMs and neural rankers to both structured and unstructured data. In addition to developing models, we're also looking for someone who can deploy them at large scale with low latencies to serve our customers dynamically. What you'll do • Model Development & Data Strategy: Lead development of machine learning models and algorithms to improve our search ranking and how we match consumers with pros. Success in these areas will impact user experience & engagement, retention, and conversion rates - critical metrics for business success., • Model Deployment & MLOps: Implement robust MLOps practices to ensure the seamless deployment and scalability of machine learning models. This includes automating model training, versioning, monitoring, and deployment processes to enable fast, reliable delivery of machine learning solutions into production environments., • Collaboration with Cross-Functional Teams: Work closely with a strong team of engineers, data scientists, product managers, and designers to build scalable and high-impact machine learning systems. Collaborate on the end-to-end development process, from ideation to deployment, ensuring that data-driven solutions are seamlessly integrated into our products and services., • Innovation: Foster innovation within the team, exploring new approaches and techniques to solve complex business problems., • You have a Master's or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Mathematics, or related fields)., • You have 7+ years of experience in data science & machine learning, with a focus on real-time ML models, ideally within the tech industry & marketplace environments., • You are an expert in machine learning and deep learning, and have a good working knowledge of large language models., • You have a proven track record of deploying highly impactful machine learning models into production environments., • You are proficient in SQL and Python, and have experience with cloud ML solutions. We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences. Our hiring process may utilize artificial intelligence (AI) tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making. Compensation & Benefits • The salary band for this position ranges from $200,000 - $280,000 commensurate with experience and performance. Compensation may vary based on factors such as cost of living., • This position will be eligible for a competitive year end performance bonus & equity package., • Full medical, dental, vision package to fit your needs, • Flexible vacation policy; work hard and take time when you need it, • Pet discount plans & retirement plan with company match (401K), • The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world #LI-Remote

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: CoreWeave is seeking a highly skilled and motivated Systems Kernel Engineer to join our HAVOCK Team, reporting into the Manager of Systems Engineering. In this role, you will be a key contributor to the stability, performance, and evolution of CoreWeave's Linux based infrastructure. As a kernel generalist, you will be responsible for debugging kernel-level issues, analyzing and fixing crashes, panics, dumps, and upstreaming fixes and features that improves the performance and reliability of our stack. This position is ideal for someone who thrives in low-level systems engineering, and understands how modern workloads stress kernels, and is excited to work across a diverse hardware/software ecosystem including CPUs, GPUs, DPUs, networking, and storage. Kernel Hardware - Acceleration - Virtualization - Operating Systems - Containerization - Kubelet Our Team's Stack: • Python, Go, bash/sh, C, • Prometheus, Victoria Metrics, Grafana, • Linux Kernel (custom build), Ubuntu, • Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs, • Kernel Debugging – Analyze kernel crashes, oopses, panics, and dumps to identify root causes and propose fixes., • Upstream Contributions – Develop patches for the Linux kernel and upstream them where applicable (networking, storage, virtualization, GPU/DPU enablement)., • Stack-Wide Support – Ensure kernel support and stability across:, • Virtualization (KubeVirt, QEMU, vFIO), • Container runtimes (containerd, nydus, kubelet), • HPC/AI workloads (CUDA, GPUDirect, RoCE/InfiniBand), • Kernel-Hardware Enablement – Support new hardware bring-up across Intel, AMD, ARM CPUs, NVIDIA GPUs, DPUs, and NICs., • Performance & Stability – Tune kernel subsystems for latency, throughput, and scalability in distributed HPC/AI clusters.About the role:, • Triage and fix kernel crashes and performance regressions., • Develop, test, and upstream kernel patches relevant to CoreWeave's hardware/software environment., • Collaborate with hardware vendors and the Linux community on feature enablement., • Implement diagnostics and tooling for kernel-level observability., • Work closely with HPC and Fleet teams to ensure kernel readiness for production workloads., • Provide kernel-level expertise during incident response and root-cause investigations.Who You Are:, • 5+ years of professional experience in Linux kernel engineering or systems-level development., • Deep understanding of kernel internals (memory management, scheduling, networking, storage, drivers)., • Experience debugging kernel crashes, dumps, and panics using tools like crash, gdb, kdump., • Strong C programming skills with the ability to write maintainable and upstream-quality code., • Experience working with kernel modules, drivers, and subsystems., • Contributions to the Linux kernel or related open-source projects., • Familiarity with virtualization (KVM, QEMU, VFIO) and container runtimes., • Networking stack expertise (InfiniBand, RoCE, TCP/IP performance tuning)., • GPU/DPU bring-up and driver experience., • Experience in HPC or large-scale distributed systems., • Familiarity with QA/QE best practices, • Experience working in Cloud environments, • Experience as a software engineer writing large-scale applications, • Experience with machine learning is a huge bonus The base salary range for this role is $165,000 to $242,000. 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 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 a Software Engineer in the Robotics and Automation group at Radical AI, you will design and deploy systems to automate our material science research and discovery laboratory. You will specialize in robotics, automation, and perception software development. Your experience and vision will shape both the physical and systematic implementation of lab automation. You will collaborate closely with Mechatronics, Mechanical Engineering and Material Scientists to meet rigorous and sometimes dynamic design requirements at a profound deployment speed. Mission • Architect and develop software systems that control and orchestrate robotic workcells for autonomous materials experimentation, • Design scalable control frameworks for flexible automation involving robots, motion systems, sensors, and lab instruments, • Collaborate with hardware, mechatronics, and science teams to translate experimental workflows into reliable automated processes, • Build and maintain APIs and services for scheduling, execution, monitoring, and data capture, • Develop simulation, testing, and validation tools to accelerate development and ensure system reliability, • Integrate 2D and 3D vision systems (cameras, lighting, depth sensors) with robotic manipulation, motion planning, and execution, • Optimize system performance, robustness, and throughput under rapid iteration cycles, • Contribute to technical direction, architecture decisions, and best practices across the robotics, perception, and automation software stack, • Mentor junior engineers and help establish engineering standards in a fast-growing organization, • Bring an attitude of collaboration and open-mindedness, to facilitate fearless and creative problem solving skills that empowers our team to ship world class technology at an unprecedented speed.About you, • Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field, • Four+ years of professional software engineering experience, with significant work in robotics or automation systems, • Strong proficiency in modern programming languages such as Python and C++, • Experience with robotic control frameworks (e.g., ROS/ROS2 or equivalent custom systems), • Experience with physical simulation environments (e.g. MuJoCo, IsaacSim), and hardware-in-the-loop testing, • Solid understanding of motion planning, state machines, real-time or near-real-time control systems, • Experience integrating hardware systems including robots, sensors, vision systems, and industrial equipment, • Ability to work independently in a hands-on, development-oriented environment., • Strong communication skills and ability to collaborate across engineering and scientific disciplines.Pluses, • Experience deploying autonomous systems in laboratory, manufacturing, or industrial environments, • Experience deploying autonomous mobile robots and working with simultaneous localization and mapping (SLAM), • Experience with reinforcement learning and computer vision applied to robotics, • Familiarity with machine learning applied to robotics, experimentation, or optimization, • Prior startup experience or ownership of systems from early prototype through productionWhat 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, • 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 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 Join Hinge as a Staff AI Engineer for Trust & Safety Operations, where you’ll lay the cornerstone of our agent-powered future. You will architect the foundational workflows, guardrails, and tooling that turn AI agents into everyday teammates for our Moderation, Appeals, and Support operators. Think of it as building the “operating system” for AI within Trust & Safety: establishing the orchestration layer, standardizing tool schemas, automating the agent lifecycle, instrumenting real-time monitoring, and ensuring every solution is robust, scalable, efficient, and responsible. You’ll collaborate closely with operations professionals and engineers, meet non-technical stakeholders where they are, and deliver value in tight, incremental loops tied directly to solving their biggest problems. Because we’re still early in our agent journey, you’ll enjoy a broad scope with an expectation of mentoring peers, shaping best practices, and defining the north star for AI-native operations at Hinge. If you’re energized by building green-field systems that leverage AI to solve challenging problems, this is your invitation to help write the next chapter of Trust & Safety to create a safer and more meaningful user experience on their journey to find an intimate connection.Responsibilities • Own the technical roadmap for AI automation across Moderation, Appeals, and Support workflows, driving discovery and prioritization of high-impact AI automation opportunities while providing hands-on technical leadership from concept to production., • Prototype agentic solutions using the latest platforms and frameworks and integrate them with existing internal and third-party tools and systems., • Deliver reliable, scalable, and robust automations with the appropriate evaluations, guardrails, human oversight, and clear performance monitoring., • Drive adoption by producing documentation, running hands-on training and enablement sessions for non-technical operators, and curating prompt libraries and playbooks that empower self-service iteration., • Collaborate closely with Data Scientists, Data Engineers, Product Managers, Backend Engineers, and the AI Platform Team to ensure a comprehensive and coordinated approach to improving operational efficiency., • Embed safety, privacy, auditability, and responsible-AI standards into every workflow in partnership with Legal and Security teams., • Agentic & workflow-orchestration expertise: Proven ability to design, build, and operate multi-step LLM agents with modern coordination frameworks., • Applied AI engineering & prompt craft: Deep Python skills plus hands-on experience integrating foundation models and crafting robust prompts and utilizing vector databases., • Rapid prototyping & experimentation: Comfortable shipping quick proofs of concept, running A/B or shadow launches, and iterating based on data., • Backend, data-systems & tool integration: Skilled at wiring external services and internal data into agent workflows through well-designed APIs and schemas., • Human-in-the-loop system design: Able to blend automation with human oversight through clear escalation paths, review checkpoints, and moderator tooling., • Operator enablement & training: Talent for translating technical workflows into clear, actionable training for non-technical teams and supporting their day-to-day adoption., • 7+ years of software or machine-learning engineering experience, with a recent focus on AI-driven automation or agentic systems., • 2+ years delivering solutions that combine automated decision support with human-in-the-loop review, ideally in Trust & Safety, customer support, or adjacent domains., • 2+ years designing and tracking operational metrics that demonstrate ROI, accuracy, and user-experience improvements for automated workflows., • 1+ years of hands-on work prototyping or operating agentic workflows (e.g., MCP, Agentspace, n8n) in real-world or open-source projects. #Hinge

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 Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. About the role: As a Solutions Architect at CoreWeave, you will play a vital and dynamic role. You will have the opportunity to demonstrate thought leadership and engage hands-on throughout our customers' entire lifecycle. From establishing their Kubernetes environment to developing proofs of concept, onboarding, and optimizing workloads, you will lead innovation at every turn. If you're driven by innovation, thrilled by the possibilities of what specialized compute can enable, and eager to be part of a team that's shaping the future, then CoreWeave is the place for you. Join us and let's embark on this adventure together! In this role, you will: • Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on Kubernetes solutions within high-performance compute (HPC) environments, • Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements., • Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments., • Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise., • Act as a virtual member of CoreWeave's Kubernetes product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions., • Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture., • Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions., • Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders., • Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption., • B.S. in Computer Science or a related technical discipline, or equivalent experience, • 7+ years of proven experience as a Solutions Architect, engineer, researcher, or technical account manager in cloud infrastructure, focusing on building distributed systems or HPC/cloud services, with an expertise focused on scalable Kubernetes solutions, • Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions, • Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences, • Familiar with NVIDIA GPUs typically used in AI/ML applications and associated technologies such as Infiniband and NVIDIA Collective Communications Library (NCCL), • Code contributions to open-source inference frameworks, • Experience with scripting and automation related to Kubernetes clusters and workloads, • Experience with building solutions across multi-cloud environments, • You love to help solve challenging technical problems, • You're curious about the latest and greatest technologies in the AI space 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 $165,000 to $220,000. 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.