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Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling.

Role: ML/AI Engineers (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 You’ll 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

We are looking for a data scientist who will bring a deep understanding of our sportswriting, our in-game experience, and the way our subscribers use The Athletic to help us make our best-in-class product even better.In this role, you will work closely with our data, product, growth, and engineering

Entefy’s Senior Data Scientist is a highly visible position both internally and externally.Join the intelligence revolution, where we can push the state-of-the-art boundaries of data science.This is where deep experience and multi-dimensional insights intersect with an amazing opportunity to shape

GoodAtNumbers is building an always-on decision intelligence platform that is trying to replace what a data scientist, data analyst and a business analyst does. We are hiring a strong software engineering intern to help turn that architecture into polished, reliable product experiences. We are hiring a Software Engineer Intern (Product & Backend) for a paid 12-week summer internship from May through July 2026. This is a remote role based in the United States and is expected to be 40 hours per week. Compensation for this internship is $23/hour. This role is best for someone who enjoys building product features end-to-end, writing clean backend logic, improving code quality, and shipping systems that users can rely on. You will help build and refine core workflows across the platform while working closely with the rest of the engineering team. What you’ll work on • Build product features across areas such as workspace setup, dataset and document workflows, semantic model workflows, metrics, investigations, evidence views, decision workflows, and operator-facing product surfaces, • Design and implement backend services, APIs, data models, and application logic, • Improve code quality through testing, refactoring, documentation, and better engineering practices, • Help connect deterministic tools and backend systems to user-facing workflows in a reliable and maintainable way, • Improve performance, usability, and overall engineering quality in the core product, • Collaborate across product, platform, and ML workstreams to ship production-ready features What success looks like by the end of the internship • Meaningful product features are shipped to a high standard, • Core backend code is cleaner, better tested, and easier to extend, • The product becomes more polished, more reliable, and more ready for production use What we’re looking for • 3+ years of relevant software development experience preferred through internships, startups, research labs, open-source work, or production projects, • Strong software engineering fundamentals, problem-solving ability, and ownership, • Experience with backend development, APIs, and relational databases preferred, • Experience with modern frontend frameworks and/or full-stack application development preferred, • Experience with testing, code review, debugging, and maintainable application design preferred, • Experience with Python and/or JavaScript/TypeScript preferred, • Comfort working in ambiguous product environments and translating product ideas into shipped software, • Strong communication and execution Nice to have • Experience with React, Next.js, FastAPI, Django, Node.js, or similar frameworks, • Experience with Postgres, workflow systems, dashboards, or analytics/data products, • Experience with auth, permissions, auditability, or evidence-heavy enterprise workflows, • Experience building AI-enabled product features or working alongside ML systems Work authorization Applicants must be authorized to work in the United States for the full internship period and must be based in the U.S. during the internship. We are not able to provide employment visa sponsorship for this internship. We welcome applicants from all backgrounds and evaluate candidates based on skills, execution, communication, and fit for the role.

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

Join the intelligence revolution, where we can push the state-of-the-art boundaries of data science. World-class ability to extract and communicate insights from real-world datasets. Entefy’s Senior Data Scientist is a highly visible position both internally and externally.

Renew Home is on a mission to change how we power the world by making it easier for customers to save energy and money at home as part of the largest residential virtual power plant in North America.We partner with industry-leading brands to better manage residential energy for users by prioritizing

Daymark Solutions is an experienced technology integration and solutions provider that helps organizations effectively architect, implement, and deploy customized solutions using best of breed technologies. Specializing in cloud solutions and datacenter technologies, Daymark’s unique combination of in-depth technical knowledge, extensive experience, and proven methodologies enable our customers to successfully address even the most difficult business and technology challenges. The Role We’re looking for an M365 Architect who thrives on solving real business challenges and shaping how modern workplaces operate. As a senior member of our Professional Services team in the Modern Work practice, you’ll lead high-impact discovery and pre-sales engagements—partnering with clients to uncover their needs, define the right solutions, and clearly articulate the value behind them. You don’t just design solutions; you influence decisions. This role is a true blend of pre-sales (50%) and post-sales (50%) consulting, giving you full ownership from the first conversation through successful delivery. You’ll architect, scope, and implement Microsoft 365 solutions while serving as a trusted advisor every step of the way, guiding clients through complex decisions and ensuring outcomes that are both technically sound and business-driven. Responsibilities • Lead technical discovery and pre-sales engagements, translating customer business needs into solution architectures, scope definitions, and compelling value propositions in partnership with the sales team., • Design, configure, and implement cloud and technology solutions while delivering documentation and knowledge transfer to customer stakeholders., • Serve as a trusted advisor throughout the project lifecycle, driving successful deployments, resolving complex technical challenges, and ensuring customer satisfaction and adoption goals are met., • Advise customers on best practices, whether with industry standards or your own recommendations, around Microsoft 365 including tenant configuration, security, integrations, endpoint management, data governance, and Artificial Intelligence., • Contribute to expanding our Microsoft partnership & Modern Work practice through growth in CSP and Professional Services revenue, the development of new technical skills & focus areas, and building relationships with key Microsoft resources., • Participate in knowledge exchanges with coworkers, regularly sharing and receiving knowledge to enhance our Microsoft 365 services, including best practices, implementation strategies, complex architectures., • Collaborate with team members to define and implement/document standards and methodologies for Professional Services engagements., • Learn security and compliance frameworks including but not limited to Cybersecurity Maturity Model Certification (CMMC) 2.0 for Defense Industrial Base customers leveraging Microsoft Azure Government and Microsoft 365 GGC High. Technical Requirements Experience with the Microsoft Partner ecosystem including Solution Partner designations, Advanced Specializations, and how to achieve them. Insight into Microsoft programs and customer funding mechanisms including ECIF. Knowledge and experience with many of the following technologies as possible: Core Microsoft 365 services including Exchange Online, SharePoint Online, Entra ID Microsoft Teams, and OneDrive for Business. Microsoft 365 GCC High in support of regulated environments specifically the Defense Industrial Base. Installation, configuration, and optimization of Entra ID Connect in large complex AD environments. Microsoft Purview, including Information Protection and Rights Management. Microsoft Intune for Mobile and Windows Autopilot, app deployment, device lifecycle, configuration profiles. Microsoft Defender Suite, including Defender for Endpoint, Defender for Cloud Apps, and Defender for Identity. Microsoft 365 Copilot and Copilot Studio. Power Platform, including Power Automate and Copilot Agents. Azure Virtual Desktop and Windows 365 Endpoint management. Quest On Demand Migration tools and/or 3rd party migration solutions. Microsoft Certifications or the ability to achieve them during the first 6-12 months: Microsoft 365 Certified: Administrator Expert (MS-102) Cybersecurity Architect Expert (SC-100) Security Operations Analyst Associate (SC-200) Identity and Access Administrator Associate (SC-300) Information Protection Administrator Associate (SC-401) Azure Administrator Associate (AZ-104) Additional Requirements • A business and technology mindset that can identify ways to grow our org and expand our capabilities., • Proven experience in identifying business challenges and requirements, building and delivering compelling presentations, crafting detailed statements of work, and clearly and concisely conveying solutions to both engineers and C-suite stakeholders., • The ability to lead multiple pre-sales engagements simultaneously and identify ways to drive repeatability and innovation within the team., • Strong organizational skills and the ability to own customer engagements end-to-end, including pre-sales architecture and design, scope and license planning, solution implementation, project management, communication, and documentation., • Strong written and verbal communication skills and the ability to clearly articulate both business and technology topics., • Excellent problem-solving and troubleshooting skills including the ability to manage communications internally and with the customer during challenging situations., • Important: U.S. citizenship is required due to access requirements for Azure Government, Microsoft 365 GCC High, and Defense Industrial Base environments. Preferred Qualifications • Relationships with Microsoft Sales, Technical Specialists, Product Managers, Program Managers, MVPs., • Deep experience with Cybersecurity Maturity Model Certification (CMMC) 2.0, • Deep knowledge of developing advanced PowerShell scripts for automating critical tasks during implementations, migrations and assessments., • The ability to help develop and refine our growing Data & AI practice leveraging your experience with Microsoft Fabric, Microsoft Foundry, Dataverse, and/or Copilot Studio including currently holding or the ability to achieve the following certifications: Azure AI Engineer Associate (AI-102), Azure Data Scientist Associate (DP-100), Azure Data Engineer Associate (DP-203), and/or Azure Database Administrator Associate (DP-300)., • The ability to help build and grow our Microsoft Power Platform practice including currently holding or the ability to achieve any of the following certifications: Power Platform Functional Consultant Associate (PL-200), Power BI Data Analyst Associate (PL-300), Power Platform Developer Associate (PL-400), Power Automate RPA Developer Associate (PL-500), and/or Power Platform Solution Architect Expert (PL-600)., • Any experience with 3rd party solutions that integrate with Microsoft 365 environments including but not limited to Varonis, Okta, Mimecast, Proofpoint, Druva and/or AvePoint., • Experience with any highly regulated environments and the associated frameworks for Banking, Life Sciences, Government, Cyber Security, etc. HR Information Full-time, permanent role Base Salary: $200,000 annually (up to $230,000 in On-Target Earnings) Comprehensive employee benefits plan Fully remote work

Cinder provides a cutting-edge platform to protect the internet. Trust & Safety teams at the world’s most influential companies need powerful solutions that allow them to innovate and adapt as quickly as the threats they face. Companies rely on our software to make policies, label, moderate, enforce, investigate, and disrupt threats like hate groups and state-sponsored disinformation campaigns. We’re seeking an Account Executive to join our team. We’re building an enterprise-grade platform to make the internet safer and we need highly curious, hard-working self-starters. We operate as a fully remote company with teammates in NY, DC, London, Austin, and SF, among other cities. This role will operate primarily in US Eastern time zone. We believe in the value of frequent in-person meet-ups and learning face to face. We offer health, vision & dental benefits and a 401(k) plan with employer matching. Work closely with new and existing customers to deeply understand their Trust & Safety challenges and goals. Work directly with the founding team, and in a team selling environment: investors, advisors, employees, founders. Everyone pitches in. Be relentless and intentional about building pipeline. Identify and empathize with key partner needs to launch and grow partnerships. Drive engagement with technical and non-technical buyers. Vertically integrate your work experience—to drive sales strategy and manage the nuts and bolts in Salesforce, Apollo etc to manage and grow a robust sales pipeline. Work closely with customer engineering teams to prioritize product improvements and new features to keep our existing product offerings sharp and relevant. Work closely with Cinder product designers and investigations experts to craft a consumer-grade experience for our customers. 2+ years of experience selling B2B SaaS to enterprise accounts with at minimum high five-figure deals. Wide-ranging curiosity. We are creating a category and shipping a product with little precedent. Strong candidates do not need experience with platform governance, but they must demonstrate curiosity and humility in learning a new space so they can communicate effectively with our buyers and user base. Experience successfully selling and winning complex, multi-month+ sales cycles. Comfortable operating at a small company—you’ve created or tweaked a successful sales motion, and seen one built from the ground up. Experience successfully navigating and leveraging partnership agreements. Experience with sales in a fluid category creation motion with multiple buyer personas Comfort with ambiguity and an ability to take initiative. Relentless optimism balanced with realism: assume the best, prepare for the worst, and never leave anything to chance. Familiarity with and understanding of how the internet and other technical tools can be used for harm. Excellent written and spoken English communication skills. Experience working for a social media, marketplace, or media company with knowledge of how attackers abuse these systems. Previous sales experience at a company known for producing sales talent who successfully close six-figure enterprise deals. Experience as a software developer, data scientist, or other technical background. Familiarity in information security, online safety, or other knowledge of how bad actors operate online. Experience selling software designed to empower teams defending against clear adversaries. As an Account Executive at Cinder, you’ll be central to Cinder’s growth and getting our product into the hands of the people who need it the most. We’re building and implementing the most advanced content safety system, and your customers and partner organizations are some of the world’s largest enterprises. Expect a front row seat in tackling the hardest problems for some of the most sensitive, impactful issues.

Daymark Solutions is an experienced technology integration and solutions provider that helps organizations effectively architect, implement, and deploy customized solutions using best of breed technologies. Specializing in cloud solutions and datacenter technologies, Daymark’s unique combination of in-depth technical knowledge, extensive experience, and proven methodologies enable our customers to successfully address even the most difficult business and technology challenges. The Role We’re looking for an Azure Architect who thrives on solving real business challenges and shaping how modern workplaces operate. As a senior member of our Professional Services team in the Cloud Platform practice, you’ll lead high-impact discovery and pre-sales engagements—partnering with clients to uncover their needs, define the right solutions, and clearly articulate the value behind them. You don’t just design solutions; you influence decisions. This role is a true blend of pre-sales (50%) and post-sales (50%) consulting, giving you full ownership from the first conversation through successful delivery. You’ll architect, scope, and implement Azure solutions while serving as a trusted advisor every step of the way, guiding clients through complex decisions and ensuring outcomes that are both technically sound and business-driven. Responsibilities Lead technical discovery and pre-sales engagements, translating customer business needs into solution architectures, scope definitions, and compelling value propositions in partnership with the sales team. Design, configure, and implement cloud and technology solutions while delivering documentation and knowledge transfer to customer stakeholders. Serve as a trusted advisor throughout the project lifecycle, driving successful deployments, resolving complex technical challenges, and ensuring customer satisfaction and adoption goals are met. Advise customers on best practices, whether with industry standards or your own recommendations, around Microsoft Azure including security, networking, applications services, Artificial Intelligence and data management. Contribute to expanding our Microsoft partnership & Azure practice through growth in CSP and Professional Services revenue, the development of new technical skills & focus areas, and building relationships with key Microsoft resources. Participate in knowledge exchanges with coworkers, regularly sharing and receiving knowledge to enhance our Microsoft Azure services, including best practices, implementation strategies, and complex architectures. Collaborate with team members to define and implement/document standards and methodologies for Professional Services engagements. Learn security and compliance frameworks including but not limited to Cybersecurity Maturity Model Certification (CMMC) 2.0 for Defense Industrial Base customers leveraging Microsoft Azure Government and Microsoft 365 GGC High. Technical Requirements Experience with the Microsoft Partner ecosystem including Solution Partner designations, Advanced Specializations, and how to achieve them. Insight into Microsoft programs and customer funding mechanisms including ECIF. Knowledge and experience with many of the following technologies as possible: Azure PaaS & SaaS offerings including Azure SQL Service, Azure App Services. Azure Resource Manager (ARM) templates, Azure CLI, and Terraform. Azure Virtual WAN, Azure Firewalls, and Virtual Networks plus general networking including TCP/IP, DNS, VPN, dynamic routing, and load balancing. PowerShell, Azure CLI, Python, or other scripting languages. Azure Sentinel and Azure Security Center. Azure Cost Manager dashboards and methodologies to optimize costs. Containerization and orchestration technologies, such as Docker and Kubernetes. DevOps and CI/CD tools, such as Azure DevOps Microsoft Fabric, Databricks, and/or Azure database services, such as Azure SQL Database or Azure Cosmos DB. Microsoft Certifications or the ability to achieve them during the first 6-12 months: Azure Administrator Associate (AZ-104) Azure Solutions Architect Expert (AZ-305) Azure Network Engineer Associate (AZ-700) Azure Security Engineer Associate (AZ-500) Azure Developer Associate (AZ-204) Azure DevOps Engineer Expert (AZ-400) Additional Requirements A business and technology mindset that can identify ways to grow our org and expand our capabilities. Proven experience in identifying business challenges and requirements, building and delivering compelling presentations, crafting detailed statements of work, and clearly and concisely conveying solutions to both engineers and C-suite stakeholders. The ability to lead multiple pre-sales engagements simultaneously and identify ways to drive repeatability and innovation within the team. Strong organizational skills and the ability to own customer engagements including pre-sales architecture and design, scoping and Azure consumption estimates, solution implementations, project management, communications, and documentation. Strong written and verbal communication skills and the ability to clearly articulate both business and technology topics. Excellent problem-solving and troubleshooting skills including the ability to manage communications internally and with the customer during challenging situations. Important: U.S. citizenship is required due to access requirements for Azure Government, Microsoft 365 GCC High, and Defense Industrial Base environments. Preferred Qualifications Relationships with Microsoft Sales, Technical Specialists, Product Managers, Program Managers, MVPs. Experience building datacenter solutions that include compute, storage, networking and virtualization that provide the ability to translate on prem solutions into cloud solutions and/or hybrid solutions. Deep experience with Cybersecurity Maturity Model Certification (CMMC) 2.0. Experience with Microsoft Azure Government, and/or Microsoft 365 GCC High in support of regulated environments including the Defense Industrial Base. Deep knowledge of developing advanced PowerShell and/or Azure CLI scripts for automating critical tasks during implementations, migrations and assessments. The ability to help develop and refine our growing Data & AI practice leveraging your experience with Microsoft Fabric, Microsoft Foundry, Dataverse, and/or Copilot Studio including currently holding or the ability to achieve the following certifications: Azure AI Engineer Associate (AI-102), Azure Data Scientist Associate (DP-100), Azure Data Engineer Associate (DP-203), and/or Azure Database Administrator Associate (DP-300). The ability to help build and grow our Microsoft Power Platform practice including currently holding or the ability to achieve any of the following certifications: Power Platform Functional Consultant Associate (PL-200), Power BI Data Analyst Associate (PL-300), Power Platform Developer Associate (PL-400), Power Automate RPA Developer Associate (PL-500), and/or Power Platform Solution Architect Expert (PL-600). Any experience with 3rd party solutions that integrate with Microsoft Azure including but not limited to Palo Alto Networks, F5, Okta, Cloudflare, Rubrik and/or Zerto. HR Information Full-time, permanent role Base Salary: $200,000 annually (up to $230,000 in On-Target Earnings) Comprehensive employee benefits plan Fully remote work

At Pathway we are shaking the foundations of artificial intelligence by introducing the world’s first post-transformer model that adapts and thinks just like humans. Our breakthrough architecture outperforms Transformer and provides the enterprise with full visibility into how the model works. Combining the foundational model with the fastest data processing engine on the market, Pathway enables enterprises to move beyond incremental optimization and toward truly contextualized, experience-driven intelligence. We are trusted by organizations such as NATO, La Poste, and Formula 1 racing teams. Pathway is led by co-founder & CEO Zuzanna Stamirowska, a complexity scientist who created a team consisting of AI pioneers, including CTO Jan Chorowski who was the first person to apply Attention to speech and worked with Nobel laureate Geoff Hinton at Google Brain, as well as CSO Adrian Kosowski, a leading computer scientist and quantum physicist who obtained his PhD at the age of 20. The company is backed by leading investors and advisors, including Lukasz Kaiser, co-author of the Transformer (“the T” in ChatGPT) and a key researcher behind OpenAI’s reasoning models. Pathway is headquartered in Palo Alto, California. We are currently searching for 2 ML/AI Engineers with a solid software engineering backbone who are able to prototype, evaluate, improve, and productionize end-to-end Machine Learning projects with enterprise data. For representative examples of the type of projects you would be expected to create or deliver, see our _. If you would consider it would be fun to create a hybrid Vector/Graph index that beats the state of the art on a RAG benchmark, to deliver a working AI pipeline to a client in a critical industry, or to pre-process datasets in a way which would boost LLM accuracy in inference & training - this is the job for you! • help design experimental end-to-end ML/AI pipelines, • contribute to addressing new use cases, beyond state of the art, • improve/adapt AI pipelines for production, working directly with client data (often live data streams), • invent ways to pre-process data sources and perform tweaks (reranking, model paramater configuration...) for optimal performance of AI pipelines., • design benchmark tasks and perform experiments., • build unit tests and implement model monitoring., • contribute high-quality production code to our developer frameworks, used by thousands of developers., • help to pre-process data sets for LLM training. The results of your work will play a crucial role in the success of both our developer offering and client delivery. It's always a pleasure to say hi! If you could leave us 2-3 lines, we'd really appreciate that. • A graduate of a 4+-year university degree in Computer Science, where you have received A-grades in both foundational courses (Algorithms, Computational Complexity, Graph Theory,...) and Machine Learning courses., • Passionate about delivering high-quality code and solutions that work., • Good with data & engineering innovation in practice - you know how to put things together so that they don't blow up., • Experienced at hands-on Machine Learning / Data Science work in the Python stack (notebooks, etc.)., • Experienced with model monitoring, git, build systems, and CI/CD., • Respectful of others, • Curious of new technology - an avid reader of HN, arXiv feeds, AI digests, ..., • Fluent in English, • Successful track-record in algorithms (ICPC / IOI), data science contests (Kaggle), or a HuggingFace leaderboard., • Showing a code portfolio., • PhD in Computer Science., • Authoring a paper at major Machine Learning conference., • You like playing/tinkering with new tools in the LLM stack., • You are already a part of the Pathway community, or have been recognized for your work in one of our bootcamps., • Join an intellectually stimulating work environment., • Be a technology innovator that makes a difference: your code gets delivered to a community of thousands of developers, and to clients processing billions of records of data., • Work in one of the hottest AI startups, that believes in impactful research and foundational changes., • Type of contract: Full-time, permanent, • Preferable joining date: January 2025. The positions are open until filled – please apply immediately., • Compensation: competitive base salary (80th to 99th percentile) based on profile and location + Employee Stock Option Plan + possible bonuses if working on client projects. The stated lower band of EUR 72k/ USD 75k for the salary base concerns senior candidates; mid-senior or mid candidates may be considered with adapted salary bands., • Location: Remote work. Possibility to work or meet with other team members in one of our offices: Palo Alto, CA; Paris, France or Wroclaw, Poland. As a general rule, permanent residence will be required in the EU, UK, US, or Canada. (Note for candidates based in India: We are proud to be part of the current as well as a partner of ICPC India. Top IIT/IIIT graduates are more than welcome to apply regardless of current location.) If you meet our broad requirements but are missing some experience, don’t hesitate to reach out to us.

Join us on the journey to get to net zero At Carbon Direct, we dedicate our scientific, software, and business expertise to empower organizations around the world to take climate action. Our Mission Enable organizations to reduce, remove, and utilize their emissions with carbon science We are a purpose-driven carbon management firm dedicated to helping organizations around the world reach their climate goals. We make carbon science accessible and actionable with our end-to-end platform. Global citizens with global impact Whether a scientist, developer, or carbon markets expert, we are united by our mission to take climate action now. We are experts in our fields and we act with confidence. Located across 4 countries and in states all across the U.S., we offer both remote-friendly work options and dynamic, in-person experiences with offices located in Seattle, WA, Oakland, CA, and NYC. Diverse backgrounds bring diverse perspectives We recognize that teams with diverse backgrounds and different experiences are powerful. Bringing together a variety of perspectives only enhances how we can effectively address the climate crisis. Together, we are creating an environment where everyone is celebrated and anyone can succeed. Overview Carbon Direct is seeking a highly skilled and motivated Hybrid Decarbonization Scientist to join our team. In this role, you will be responsible for supporting deep diligences and conducting scientific assessments of decarbonization technologies, strategies, and projects. You will play a critical role in ensuring the scientific rigor and integrity of our advisory services, working closely with clients to evaluate solutions that effectively reduce greenhouse gas emissions. A significant part of this role involves translating deep expertise in Bioenergy with Carbon Capture and Storage (BECCS), biomass with carbon removal and storage (BiCRS), and biochar projects into recommendations for a range of clients. Responsibilities • Support comprehensive scientific evaluations of hybrid decarbonization technologies and strategies, including BECCS, BiCRS, and biochar., • Perform in-depth technical and operational due diligence on decarbonization projects and initiatives to assess feasibility, risks, and potential impact., • Conduct life cycle assessments (LCAs) to evaluate the environmental performance and carbon accounting of decarbonization projects, ensuring methodological rigor and alignment with industry standards., • Apply expertise in sustainable biomass sourcing principles and supply chain considerations to evaluate feedstock viability and environmental integrity for relevant projects., • Develop and maintain a deep understanding of the latest advancements in climate science, technology, and policy relevant to decarbonization efforts., • Collaborate with cross-functional teams, including engineers, economists, and policy experts, to integrate scientific insights into client recommendations and strategies., • Prepare detailed reports, presentations, and technical documents to communicate findings and recommendations to clients and stakeholders., • Stay abreast of emerging trends and developments in the field of decarbonization, participating in conferences, workshops, and professional networks to continuously enhance expertise. Qualifications • Proven experience in conducting scientific research and assessments in the field of decarbonization, with a strong track record of published or disseminated work., • Ph.D. or Master’s degree in a relevant field such as Environmental Science, Climate Science, Engineering, or a related discipline (not required, but nice to have)., • Extensive knowledge of decarbonization technologies and strategies, including their technical, economic, and environmental aspects., • Ability to effectively interface with external clients and internal stakeholders, providing excellent, responsive service, • Specific expertise in BECCS and biochar projects, including their development, implementation, and assessment., • Strong analytical and problem-solving skills, with the ability to conduct rigorous technical and financial evaluations., • Excellent communication skills, both written and verbal, with the ability to effectively convey complex scientific concepts to diverse audiences., • Demonstrated ability to work collaboratively in a multidisciplinary team environment., • Proficiency in relevant software and tools for data analysis, modeling, and simulation., • Commitment to staying current with industry trends, scientific advancements, and best practices in decarbonization., • Experience in consulting or advisory roles, particularly in the climate or environmental sectors., • Project management skills, with the ability to manage multiple projects and priorities effectively. Salary Range $133,000-$163,000 a year Benefits While we love our work, our lives aren’t defined by it. At Carbon Direct, we offer a robust benefits package that considers the whole person, their partners, and their families – and we’re always looking to improve. Our U.S. benefits* include: • Comprehensive nationwide medical, dental, and vision coverage. _., • Time off as needed: Flexible vacation policy and ten company-wide holidays, plus annual winter break between Christmas and New Year's, • 16 weeks of fully paid parental and family leave with no tenure requirement, • Remote-friendly work culture with annual company-wide retreats, • Reimbursement for your work-from-home setup and monthly work-from-home stipend *Please note that the benefits described apply to _ employees only. For our international employees, our benefits package varies by each country and its statutory requirements. Equal Opportunity Employer Carbon Direct is an equal opportunity employer and does not discriminate on the basis of race, color, gender, religion, age, sexual orientation, national or ethnic origin, disability, marital status, veteran status, or any other occupationally irrelevant criteria. We adhere rigorously to our equal employment opportunity policies in connection with all employment decisions, including hiring, compensation and promotion.

Role: ML/AI Engineers (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 You’ll 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

We’re transforming the United States Government and we know that takes a dream team. We believe customer experience starts with employee experience, so we take care of our employees. We offer competitive pay and benefits, invest in employee growth, and offer a culture you can’t find anywhere else. At Rise8, we continuously achieve unreached heights through next-level tech, and on-the-level collaboration. Together, we create continuous impact. We turn breakdowns into breakthroughs, make small steps into giant leaps, and deliver game-changing products through culture-changing process. We pair Risers with their customer counterparts and practice pairing at every moment to elevate people and teams and deliver results fast and forever. We work in small teams and rotate between them frequently so that we are able to meet new challenges and explore new ideas. Our methodology is about experimenting and learning, and our culture is empowering. We subscribe to an ethos of kindness. We make a point to bring empathy to each and every project and are guided by a promise and a purpose: to deploy critical outcomes to prod in order to drive relentless progress. Not just an idea. But an outcome. A better world. A world where every day, fewer bad things happen because of bad software. Rise8 is certified as_ with 100% of employees saying they love working here. • You want to make tomorrow better than today., • You enjoy daily decision making and real product delivery on a balanced team of product management, design, and engineering., • You help ensure project success and client satisfaction., • You enjoy collaborative teams, pairing with team members, and inviting your clients to participate., • You like to work alongside, and learn from, lean and agile leaders., • You are a creative problem solver who is comfortable with uncertainty and can lead the design effort to make better product decisions., • You’re a curious and keen learner who thrives on enhancing your (and our) practices and knowledge. The Department of Defense (DoD) SkillBridge internship program is for military service members transitioning from federal service to commercial industry only. For DoD SkillBridge participants, we offer a 40 hr/wk apprenticeship where you will work alongside one of our professionals on product or in business operations. Length: 120-180 days preferred Location: Remote or on-site (Tampa or LA) Product Roles: Cloud Infrastructure/Cloud Platform, Security, and Application Development Roles: Product Manager, UX Designer, Software Engineer, Cloud Engineer, Platform Engineer, Security Engineer/Security Analyst, Data Engineer/Data Scientist Business Operation Roles: Brand, Marketing, Sales, Administration, Executive Leadership • Currently on active duty and eligible for SkillBridge, • Possess a growth mindset., • Demonstrated grit, resilience, and determination to overcome obstacles and achieve goals., • Entry level experience or certifications for the role you are applying for. All of Rise8’s work in this area is with Federal Government customers that require our employees involved with their projects be U.S. citizens. As such, this role requires U.S. citizenship. If hired, you would also be required to go through a background investigation. Rise8 is an Equal Employment Opportunity employer that will consider you for this role regardless of race, color, religion, gender, sexual orientation, marital status, gender identity or expression, national origin, genetics, age, disability status, protected veteran status, or any other characteristic protected by applicable law.

Why join Freenome? Freenome is a high-growth biotech company developing tests to detect cancer using a standard blood draw. To do this, Freenome uses a multiomics platform that combines tumor and non-tumor signals with machine learning to find cancer in its earliest, most-treatable stages. Cancer is relentless. This is why Freenome is building the clinical, economic, and operational evidence to drive cancer screening and save lives. Our first screening test is for colorectal cancer (CRC) and advanced adenomas, and it’s just the beginning. Founded in 2014, Freenome has ~400 employees and continues to grow to match the scope of our ambitions to provide access to better screening and earlier cancer detection. At Freenome, we aim to impact patients by empowering everyone to prevent, detect, and treat their disease. This, together with our high-performing culture of respect and cross-collaboration, is what motivates us to make every day count. Become a Freenomer Do you have what it takes to be a Freenomer? A “Freenomer” is a determined, mission-driven, results-oriented employee fueled by the opportunity to change the landscape of cancer and make a positive impact on patients’ lives. Freenomers bring their diverse experience, expertise, and personal perspective to solve problems and push to achieve what’s possible, one breakthrough at a time. About this opportunity: At Freenome, we are seeking a Staff Machine Learning Scientist to help grow the Machine Learning Science team, within the Computational Science department. The ideal candidate has a strong knowledge of artificial intelligence (AI), including machine learning (ML) fundamentals and extensive experience with deep learning (DL) methods, a track record of successfully using these methods to answer complex research questions, the ability to drive independent research and thrive in a highly cross-functional environment. They will be responsible for the development of algorithms for early, blood-based detection tests for cancer. They will build on a foundation of ML/DL and statistical skills to develop models for identifying molecular signals from blood. They will also work with computational biologists, molecular biologists and ML engineers to design and drive research experiments, and will have a significant impact on the continued growth of an organization dedicated to changing the entire landscape of cancer. The role reports to the Director, Machine Learning Science. This role can be a Hybrid role based in our Brisbane, California headquarters (2-3 days per week in office), or remote. What you’ll do: • Independently pursue cutting edge research in AI applied to biological problems (including cancer research, genomics, computational biology, immunology, etc.), • Build new models or fine-tune existing models to identify biological changes resulting from disease, • Build models that achieve high accuracy and that generalize robustly to new data, • Apply contemporary interpretability techniques to provide a deeper understanding of the underlying signal identified by the model, ideally suggesting potential biological mechanisms, • Work closely with ML Engineering partners to ensure that Freenome’s computational infrastructure supports optimal model training and iteration, • Take a mindful, transparent, and humane approach to your work Must haves: • PhD or equivalent research experience with an AI emphasis and in a relevant, quantitative field such as Computer Science, Statistics, Mathematics, Engineering, Computational Biology, or Bioinformatics, • 6+ years of postdoc or post-PhD industry experience achieving impactful results using relevant modeling techniques, • Expertise demonstrated by research publications or industry achievements, in driving independent research in applied machine learning, deep learning and complex data modeling, • Practical and theoretical understanding of fundamental ML models like generalized linear models, kernel machines, decision trees and forests, neural networks, boosting and model aggregation, • Practical and theoretical understanding of DL models like large language models or other foundation models, • Extensive experience with training paradigms like supervised learning, self-supervised learning, and contrastive learning, • Proficient in current state of the art in ML/DL approaches in different domains, with an ability to envision their applications in biological data, • Proficiency in a general-purpose programming language: Python, R, Java, C, C++, etc., • Proficiency in one or more ML frameworks such as; Pytorch, Tensorflow and Jax; and ML platforms like Hugging Face, • Experience in ML analysis and developer tools like TensorBoard, MLflow or Weights & Biases, • Excellent ability to communicate across disciplines, work collaboratively, and make progress in smaller steps via experimental iterations, • Proficient at productive cross-functional scientific communication and collaboration with software engineers and computational biologists, • A passion for innovation and demonstrated initiative in tackling new areas of research Nice to haves: • Deep domain-specific experience in computational biology, genomics, proteomics or a related field, • Experience in building DL models for genomic data, with knowledge of state-of-the-art DNA foundation models, • Experience in NGS data analysis and bioinformatic pipelines, • Experience with containerized cloud computing environments such as Docker in GCP, Azure, or AWS, • Experience in a production software engineering environment, including the use of automated regression testing, version control, and deployment systems Benefits and additional information: The US target range of our base salary for new hires is $199,675 - $302,400. You will also be eligible to receive pre-IPO equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered. Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ _ for additional company information. Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. Applicants have rights under Federal Employment Laws. • _, • _, • _ #LI-Remote

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

Job DescriptionCareer Renew is recruiting for one of its clients a Technical Product Manager, Data and Internal Products - this is a fully remote position for US-based candidates. Salary range: 180-230K USD plus benefits plus equity.We are the leading provider of innovative identity and risk solutions, empowers institutions and individuals to transact confidently with one another by preventing synthetic fraud, identity theft, and emerging forms of first party fraud at the point of account application. Its solutions enable these secure transactions by leveraging a deep understanding of identity and risk, and are informed by machine learning models and insights from a team of top risk analysts. We proudly serve a broad array of financial institutions, from the largest U.S. banks to leading credit unions and fintech unicorns to help stop fraud at account opening and beyond. Headquartered in San Francisco, the company was founded in 2017 by Naftali Harris and Max Blumenfeld and it has raised $85M to date from investors including Andreessen Horowitz, Craft Ventures, and NYCA Partners, among others. We are looking for a Data Product Manager with 5+ years of experience to lead internal initiatives within our Tech organization. This person will build and maintain our core internal technology, spanning critical datasets, internal services, and the underlying platforms that support our products and analytics. What will you be doing? Own the product vision, roadmap, and execution for internal technical initiatives, with a strong focus on dataintensive systems. Lead cross-functional efforts to improve the quality, reliability, and usability of internal systems, including datasets and shared services. Drive long-term initiatives to future-proof internal data and technology assets, ensuring they scale with evolving needs. Partner with engineering, data science, solutions analytics, and product stakeholders to understand use cases and clarify requirements. Manage prioritization across competing internal demands, balancing immediate impact with long-term strategic value. Key Requirements 5+ years of experience with data-heavy or platform-oriented products, with a focus on ML/Data Science strongly preferred. Hands-on experience working with large datasets (e.g., Spark, Databricks, BigQuery, Snowflake). Strong understanding of big data concepts, data pipelines, data cleaning/normalization, and data modeling. Demonstrated ability to partner effectively with engineering, data science, and analytics teams on deeply technical problems. Experience driving large internal initiatives with multiple stakeholders and managing cross-functional dependencies. Tech stackSpark, Databricks, BigQuery, Snowflake Requirements: 5+ years of experience PM, founder, or equivalent cross-functional product role (Mandatory) Resume must show both big data product work and internal tooling experience with specific projects named (Mandatory) At least 1 year at a Series B/C startup; current or most recent role must be at a startup, not big tech (Mandatory) Prior engineering title required (SWE, data scientist, ML engineer, or highly technical data analyst) (Mandatory) Data pipeline experience required: production-level work with data ingestion, cleaning/normalization, and modeling with specific tools cited (Mandatory) Python and AWS familiarity required; big data tooling (Spark, Databricks, BigQuery, Snowflake, or Redshift) must be explicitly named on resume (Mandatory) Domain experience in fintech, payments, fraud, or identity is a significant differentiator (Nice-to-have) Located and authorized to work in the United States. (Mandatory) Why you should join Market-leading fraud prevention company - We're the go-to identity verification solution for major US banks, credit unions, and fintech unicorns, processing hundreds of millions of identities. $85M raised from top-tier investors - Backed by Andreessen Horowitz, Craft Ventures, and NYCA Partners with strong financial runway. Forbes Fintech 50 recognition - Named to the prestigious list every year since 2023, plus we made history as the first eCBSV provider. Competitive compensation package - $180K-$230K base salary plus equity and comprehensive benefits including employer-paid health insurance for you and dependents. Remote-first culture - Work from anywhere in the US with flexible PTO and regular company-wide in-person events.

Job Description About Cleerly We're Cleerly – a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time.Cleerly is committed to providing safe and effective medical software that meets customer needs and our intended use. The adherence to all applicable regulatory and statutory requirements establishes a clear framework for setting measurable quality objectives. Our commitment to continually improving our products and processes proactively manages risks, ensuring ongoing compliance throughout the entire software lifecycle. Understanding this role's relevance and importance is critical to achieving Cleerly's quality objectives. About the Opportunity We are seeking a highly skilled Senior Scientist to lead the design, development, validation of innovative clinical workflow that can directly impact the diagnosis and treatment for heart disease. In this senior-level role, you are responsible for architecting a cutting-edge product that integrates our existing technologies while pushing the boundary of innovation in cardiac vascular imaging. You will also represent the company in strategic research collaborations with leading academic and clinical institutions, driving innovation at the intersection of AI and cardiovascular health. About the Team You will join our expert Computational Imaging team, where we develop sophisticated algorithms to enhance and improve medical imaging. We are focused on improving the quality and clinical value of medical images, creating powerful, extra software components that correct artifacts, standardize data, and ensure the utmost precision before the final analysis. Our work is essential for elevating the reliability and accuracy of Cleerly's regulated products. Responsibilities • Research and develop state-of-the-art AI and non-AI algorithms for coronary CT imaging applications., • Translate product and clinical requirements into algorithmic specifications in collaboration with Product and Clinical teams., • Partner with Regulatory Affairs to support regulatory submissions (e.g., 510(k), De Novo,PCCP), including generating evidence and documentation., • Collaborate with engineering teams to deploy AI and non-AI based solutions in clinical practice., • Communicate findings and strategy to internal stakeholders through clear technical documentation, presentations, and demos., • Contribute to intellectual property development through patents and scientific publications. Requirements • Ph.D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field, with 3+ years combined postdoc and/or industry experience; OR an M.S. with 5+ years of relevant experience., • R&D experience in medical image processing, demonstrating subject matter expertise in deep learning methods for image quality enhancements, optical flow analysis and CT harmonization., • Proven track record of publications in top-tier medical imaging or computer vision conferences and journals (e.g., MICCAI, IEEE TMI, CVPR, Medical Image Analysis)., • Strong experience in Python, Tensorflow and pytorch., • Prior experience with ITK, OpenCV, VTK., • Excellent interpersonal, cross-functional, and cross-cultural collaboration skills. Preferred qualifications • 3+ years of industry experience in AI-based medical device development or clinical deployment., • Experience supporting FDA regulatory submissions for ML-based software, including familiarity with De Novo, 510(k), and PCCP pathways., • Deep domain knowledge in cardiovascular imaging and CT interpretation workflows. The base salary range for this role varies by location and is aligned to market benchmarks. • Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range., • Final compensation is determined based on location, experience, skills, and internal equity. This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges: • Base Salary: $186,000 - $212,000, • TTC: $214,000 - $245,000 *Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards. Working at Cleerly takes HEART. Discover our Core Values: • H: Humility- be a servant leader, • E: Excellence- deliver world-changing results, • A: Accountability- do what you say; expect the same from others, • R: Remarkable- inspire & innovate with impact, • T: Teamwork- together we win Don't meet 100 percent of the qualifications? Apply anyway and help us diversify our candidate pool and workforce. We value experience, whether gained formally or informally on the job or through other experiences. Job duties, activities and responsibilities are subject to change by our company. OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. For more information see our Privacy Policy (https://cleerlyhealth.com/privacy-policy). All official emails will come from @cleerlyhealth.com email accounts. #Cleerly

Job DescriptionAbout Dyania Health Dyania Health is a venture-backed company founded in 2019 which has developed Synapsis AI, an end-to-end system that combines a medically post-trained LLM with a physician-driven algorithmic reasoning engine to understand and assess clinical characteristics in electronic medical records. Synapsis AI is designed for installation within the healthcare system's computing environment or on healthcare system private clouds to automate manual chart review of EMRs without removing any data from the healthcare system. Synapsis AI completes pre-screening on both unstructured and structured patient data, deploying medical logic with temporal sensitivity to dynamically match changing patient characteristics to complex clinical trial criteria within the exact window when a given EMR may qualify for study protocol criteria. The Role We are seeking a Staff or Senior Staff Research Scientist to lead the design, development, and implementation of advanced AI/ML and LLM-based models for clinical data understanding. This is a senior, hands-on research role. You will build and customize models, design architectures, and drive ML innovation from concept through production. This is not a data science or analytics role—we are looking for someone who deeply understands how models work internally and can independently solve complex, open-ended problems. Leveling is based on experience: • Staff Research Scientist: 7+ years of relevant experience, • Senior Staff Research Scientist: 10+ years, including technical leadership responsibilities What We’re Looking For • A senior researcher who builds models, not dashboards, • A hands-on technologist who understands model architecture, training, and optimization, • Someone who can define strategy, lead initiatives, and still write production-quality code, • A strong independent problem solver comfortable with ambiguity and research-driven development, • A technical leader who can mentor others while delivering individually Key ResponsibilitiesResearch, Development & Implementation • Design, build, train, and deploy AI/ML and LLM-based models, • Own the full model lifecycle: problem definition, research, prototyping, training, evaluation, and deployment, • Apply strong understanding of ML and AI fundamentals to real-world biomedical problems, • Develop and optimize models using Python and modern ML frameworks, • Research emerging techniques and propose innovative solutions aligned with product and business needs Problem Solving & Strategy, • Independently analyze complex, ambiguous problems and determine appropriate modeling approaches, • Evaluate and recommend technical solutions and system architectures, • Translate research concepts into scalable, production-ready systems, • Contribute to long-term ML and AI strategy and technical vision Leadership, • Lead cross-project research and development initiatives, • Provide technical mentorship and guidance to junior researchers and engineers, • Establish best practices for experimentation, model development, and deployment, • Influence technical roadmaps and architectural decisions Requirements Required Qualifications • 7+ years (Staff) or 10+ years (Senior Staff) of experience in AI/ML research or ML engineering, • Graduate degree in Computer Science, Engineering, or a related technical field, • Strong hands-on experience building, training, and deploying ML and AI models, including LLMs, • Deep understanding of model fundamentals and architecture design, • Proven ability to solve problems end-to-end, from research through implementation, • Advanced proficiency in Python for model development and training, • Experience customizing models rather than relying solely on pre-built solutions, • Ability to independently research, evaluate, and propose technical approaches Preferred Qualifications • Publication record in top-tier AI, NLP, or ML conferences, • Experience working with EMR or other complex clinical datasets, • Experience with multi-modal AI systems, • Prior senior or lead-level technical experience, • Familiarity with regulatory considerations for clinical AI systems, • Experience contributing to long-term technical strategy or system architecture, • PhD is welcome but not required Team Culture: • We lead with empathy for patients and our teammates, • We value small egos, self-awareness, and humility in our teammates, • We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift, • We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team, • We value open dialogue and brainstorming across multidisciplinary teams Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws. Benefits • Competitive Salary, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Generous Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Training & Professional Development Support, • Remote work

Job Description Summary: PLEASE NOTE - This is NOT a technical role for a Data Analyst, Data Scientist or someone with an IT background. Candidates MUST have experience in the Market Data realm and be able to administer Market Data contracts. Please read the description before you apply The Market Data Analyst at S4 Market Data will oversee client projects and be responsible for the overall service delivery of our managed services with respective clients. This position will manage market data service inquiries and projects from clients as well as manage a market data administrator within the projects to ensure administrative tasks are being completed in an accurate and timely manner. The ideal candidate will have market data vendor management and administrative experience; sourcing and negotiating contracts, managing procurement/sourcing requests throughout the spend life cycle, speaking with internal business units and stakeholders (legal, finance, IT, etc.) to procure goods/services for our clients. The candidate needs to be located in the US, this is a fully remote position. Responsibilities: • Handle day-to-day demand management or vendor management and administrative inquiries from internal business units, including but not limited to; data/sourcing requests, contract negotiation, entitlement administration, exchange reporting, moves/adds/changes requests, inventory management, procurement/legal approval, expense allocation, invoices reconciliation, and spend reporting., • Interact with the client’s various internal stakeholders and business units; technology, legal, accounting/finance, human resources, and investment managers., • Oversee the inventory management process of leavers/joiners, ensure current inventory is accurate and up-to-date. Oversee the reconciliation invoices and validation of monthly allocations/expenses., • Conduct monthly/quarterly exchange reporting and ensure exchange policies and data compliance across the client’s end-users and applications. Administer their datafeeds (EMRS, DACS, Etc.), • Review spend and enact cost savings and avoidance initiatives. Provide respective business units with an overview for their costs; understand their products/services and respond to any inquires as needed. Maintain reports on costs and identify ways to consolidate spend., • Conducts regular internal team meetings to report on client SLA’s and to ensure all client service deliverables are being met and completed. Qualifications: • Bachelor’s degree in MIS, Business, or related degree and 3-5 years of relevant experience in financial services or market data. Relevant work experience in consulting is preferred., • Experience working with Market Data vendors such as Bloomberg, FactSet, Exchanges (NYSE, ICE, etc.)., • Knowledge of FITS and MDSL inventory systems is preferred., • Excellent communication and project management skills and experience in working closely with internal client business units and senior stakeholders., • An entrepreneurial and self-regulating mind-set. Display a high level of time management skills to manage multiple and elaborate requests simultaneously., • Have high energy and be a self-starter with the ability to work independently and as part of a team. Powered by JazzHR CqzWdPMF1h

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. The Role We're seeking a Senior Data Scientist to lead the science behind a best-in-class ticketing experience for fans, with a focus on the operational journey from ticket purchase through event entry. In this role, you will own and develop predictive and decisioning models that proactively identify and mitigate fulfillment issues, strengthen inventory validation, and optimize customer service policies — all while balancing fan experience with operational constraints. You will work on problems where getting it right matters: predicting issues before they impact fans, identifying emerging pain points at scale, and turning moments of potential failure into opportunities to build trust and loyalty. This includes building and productionizing models on both structured and unstructured data, such as LLM-backed pipelines that extract actionable signals from customer communications and support interactions. You will partner closely with product managers, analytics engineers, operations leaders, and other data scientists to translate ambiguous business problems into durable, production-ready data products, and to influence decisions that measurably improve the fan experience. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA What You'll Do • Own the science behind ticket fulfillment: Drive reliability, ease of use, and customer satisfaction by crafting and deploying scalable, production-grade machine learning models that directly inform operational systems and decisions., • Drive data-informed strategy: Work with operations partners to shape roadmaps, using analysis and modeling to identify, prioritize, and size high-impact opportunities that can be implemented and sustained at scale., • Design for validation: Apply principles of experimentation and causal inference to ensure work products can be rigorously evaluated, defining offline validation and online testing strategies early in the design process., • Build the data foundation: Partner with platform and analytics teams to ensure data availability and quality, including event instrumentation, batch and streaming ETL, feature stores, and monitoring for model performance, bias, and drift., • Tell the story: Communicate trade-offs and impact to execs and non-technical partners; make the complex understandable and actionable. What You've Done • 5+ years of industry experience in data science or machine learning, with an MS or PhD in mathematics, statistics, computer science, or a related quantitative field preferred., • Strong programming skills in Python, with experience using numerical and machine learning libraries such as Pandas, NumPy, SciPy, scikit-learn, and gradient-boosting frameworks (e.g., LightGBM, XGBoost)., • Demonstrated experience building, deploying, and iterating on production machine learning models in cloud environments (e.g., AWS, Azure), including post-deployment monitoring and improvement., • Expertise working with large-scale data using modern analytics and compute platforms such as Snowflake, BigQuery, or Databricks, with strong proficiency in SQL., • Proven ability to establish data science methodology in new or ambiguous domains, owning work end to end—from stakeholder alignment and problem framing to delivery and measurable impact., • Excellent communication skills, with the ability to clearly articulate modeling assumptions, tradeoffs, and impact to both technical and non-technical audiences. Nice to have: • Experience applying machine learning to operational problem spaces such as ticket fulfillment, fraud detection, customer service, or trust and safety., • Experience with production ML platforms and workflows, such as Metaflow or comparable systems (e.g., Airflow-based ML pipelines, Kubeflow, SageMaker Pipelines, Prefect, Flyte), including model versioning, scheduling, and monitoring., • Experience selecting and applying appropriate causal inference approaches to evaluate model and policy impact, including methods such as uplift modeling, synthetic control, and BSTS. What We Offer • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed., • Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options. The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate's qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub's total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Salary Range$200,000—$250,000 USDAbout UsStubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. For California Residents: California Job Applicant Privacy Notice found hereWe are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.