Our mission is to transform how people and machines work together to push the boundaries of human productivity. A leader in Industrial AI, Augury helps the world’s manufacturers leverage real-time production insights to drive new levels of efficiency. Combining predictive and prescriptive AI technology with industry expertise, production teams can proactively address alerts, minimize downtime, reduce asset costs, and maximize yield and capacity. Our customers achieve payback in six months or less, enabling global scale. We're looking for team members excited to partner with the world's manufacturers and build the future of production together. As Augury’s AI Applied Scientist, you’ll be at the intersection of advanced technology and meaningful impact with clear business cases. You will have access to real-time (RT) big data from multiple Sensors & Data sources, and a chance to discover, explore research and develop cutting edge models that directly impact industrial manufacturers around the globe. As part of the Applied AI/ML Science team at Augury, you will have the opportunity to continuously grow and learn while building and deploying advanced models directly into our products, stay at the forefront of the technologies in the world, witnessing firsthand their impact on our customers. A Day In Your Life - Own the algorithm lifecycle from problem definition and data analysis to prototyping and delivering production-ready models. - Research, design, and build anomaly classification, predictive, insights, recommendations and other types of models from various data sources, including sensor time-series data, textual data, images, and more. - You will Ensemble multi-modalities by exploiting and enriching the most from our data collections platform and feature extraction and store phases, using classic statistical methods, deep learning, Transformers, GenAI, Graphs, Foundations Modules (as TSFM, Graph Transformer, TGNN), and any available technology to extract recommendations for taking real-world, life-changing actions - Engage with customers and collaborate with our product team to develop innovative solutions utilizing new types of data. - Work with cloud-based big data platforms for training, distributed processing & experiments tracking (e.g., Metaflow, Grafana, Outerbounds, Databricks) - Partnering and contributing to modern technologies: LLMs and agents (GPT, Claude, Gemini), defining & building Gurdrails, reasoning chain as function call, planning, ML-based vectorization and embeddings, and stream analysis What You Bring - M.Sc., or Ph.D. in Electrical Engineering, Computer Science, Physics, Mathematics, or a related field. - 4+ years of experience in ML applications, including research on time-series data, ML-based vectoring, and Embeddings (Transformers included) - Proficiency in Python and Applied Science SDLC - Discovery, Research, development, fidelity deployment, monitoring, Training, and fine tuning - Experience in anomaly detection, abnormal behavior, outliers, pushing recall, precision, and tail metrics KPIs boundaries - Experience working with ML ops infrastructure such as Vertex AI, Sagemaker etc. - The ability to translate research into scalable, production-ready solutions. - Experience working on Agile teams with a passion for fast iterations, feedback, and continuous learning. - Proven ability to collaborate with diverse, cross-functional groups, including product managers, infrastructure, and data engineering teams. - Experience in feature engineering-based signal processing - big advantage. Perks - Stock options - Paid parental leave - Flex PTO Augury is a people-first organization. We believe in fostering an inclusive environment in which employees feel encouraged to share their unique perspectives, leverage their strengths, and act authentically. We know that diverse teams are strong teams, and we welcome those from all backgrounds and varying experiences. We are committed to providing employees with a work environment free of discrimination and harassment. We believe that diversity is more than just good intentions, and we are committed to creating an inclusive environment for all employees. Augury is a proud equal opportunity employer, we strive to create a work environment in which everyone, all applicants, employees, customers, guests, and vendors feel safe and comfortable. We commit to maintain a workplace that is free of any type of harassment and does not tolerate anyone intimidating, humiliating, or hurting others. We prohibit willful discrimination based on age, gender, ethnicity, race, color, religion, political opinions, sexual orientation, sexual identity or expression, military or veteran status, disability or any other characteristic protected by law.

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description What you get to do in this role: The Platform & AI Customer Excellence (AI Center of Excellence) team will be responsible for developing, maintaining, and delivering a portfolio of advisory and starter pack engagements in partnership with Sales, Inspire Value, AI Solution Success, Product Success, Platform Outbound Product Management, and Customer Excellence. As an AI Architect, you will drive customer outcomes, roadmap, and value realization for GenAI technology within your accounts through hands-on delivery of ServiceNow's GenAI capabilities and technical advisory activities. You will also lead GenAI enablement programs and GenAI Impact accelerators for the broader Customer Excellence organization. - Providing technical advice and guidance to customers on how to best utilize ServiceNow's GenAI technologies to achieve their business objectives - Collaborate with cross-functional teams, including sales, marketing, and product development, to ensure the successful deployment of ServiceNow's GenAI solutions - Lead GenAI enablement programs for the broader Customer Excellence organization - Develop and deliver GenAI Impact Accelerators to drive customer outcomes and value realization - Stay up-to-date with industry trends and emerging technologies in the field of GenAI, and apply this knowledge to continuously improve and evolve ServiceNow's Impact GenAI accelerator offerings - Contribute to thought leadership and point-of-view documents, white papers, knowledge base articles, and other documentation to make information about ServiceNow's GenAI capabilities more accessible to the broader Impact Delivery organization, customers, and partners Qualifications To be successful in this role, you must have: - 3+ years of ServiceNow Platform experience - ServiceNow Certified System Administrator and other ServiceNow Certified Implementation Specialist certifications are desired - At least 5 years of experience in a technology advisory role, with a focus on Artificial Intelligence, Machine Learning, or Data Science, is preferred - Proven track record of driving business growth and customer satisfaction through innovative technology solutions - Excellent communication and interpersonal skills, with the ability to effectively communicate technical concepts to non-technical audiences - Strong analytical and problem-solving skills - Ability to work effectively in a fast-paced, dynamic environment - Familiarity with Agile methodologies and experience working in an Agile environment - Strong problem-solving skills and ability to work independently or as part of a team - Experience working with cross-functional teams, including data scientists, engineers, sales, and marketing professionals - Strong industry connections and network, with the ability to leverage relationships to drive business growth and partnerships - Customer-focused mindset and commitment to delivering high-quality results - Must be able to travel up to 50% annually Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

Title: CAAS Government Consulting & Advisory Senior Associate Location: Remote Job Description: Join our Team! Join our Team! We work in an environment where everyone’s voice is heard. We are one of the largest accounting firms headquartered in Orange County, California. We’re accountants providing solid guidance, support & solutions to business, governments, and non-profits. Our outstanding employees are crucial to our unique, diverse culture and talent development, as well as our ability to attract clients successfully. At LSL, you will discover an atmosphere that motivates and encourages you to succeed in both your personal and professional life. Senior Associate, Consulting & Advisory - CAAS Government What you will be doing: Those in CAAS Government are primarily involved with ongoing bookkeeping, month-end close and year-end close services for local government clients, including cities, counties and special districts. Seniors are responsible for complex technical accounting related to GASB compliance and resolving technical issues, as appropriate. In addition, this role provides supervision to staff and helps train new hires. Seniors work in a collaborative environment with other team members to develop and deliver creative solutions to client needs. This is a client facing role. In this role, you will: - Proficiency in using QuickBooks Online (QBO) for clients with and without payroll. - Proficiency with common financial software systems used by local governments. - Ability to analyze financial data and perform analysis for areas such as accounts receivable, accounts payable, capital assets and long-term liabilities. - Understanding of cash basis and accrual basis of accounting with an understanding of modified and full accrual accounting. - Ability to prepare monthly financials and present financial data to clients in a clear format. - Supervise accounts payable and payroll processing. - Proficiency in preparation of depreciation schedules, debt amortization schedules, and trial balances. - Ability to identify and troubleshoot inconsistencies and variances in account analysis. - Accounting knowledge necessary to propose adjusting entries to correct errors in accounting, when necessary. - Supervisory responsibilities: - - Supervise staff on their day-to-day activities. - Demonstrated ability to plan and organize projects. - Other duties as assigned. Minimum Job Qualifications: - Bachelor’s degree - CPA license or actively pursuing CPA license, desirable - Minimum of three (3) years professional services firm experience, or a minimum of five (5) years government agency experience, required. - Tech savvy – high-level proficiency with Microsoft Office Suite (including Outlook, Word, Excel, PowerPoint and Teams), required - Proficiency within QuickBooks and QuickBooks Online, preferred. - Effective organization and time management skills, meeting assigned deadlines or budgets, and providing advance notice of problems. - Commitment to the protection of confidential client information. - Analytical, quick learner, self-starter, and ability to take direction well. - Proactive, resourceful and client oriented. - Excellent customer service skills. - Positive attitude, team player, cooperative and responsive to training, supervision, and constructive feedback. - Ability to work independently and take initiative. - Strong work ethic, honest, and patient. - Excellent verbal, written and interpersonal skills. - Travel may be required to LSL offices and client sites, up to 20%. At LSL CPAs, we offer a competitive compensation and benefits package along with a supportive team-focused environment. Our remote work environment allows you the freedom to manage your commitments while staying dedicated to serving our clients. Work Authorization: Must be authorized to work in the United States permanently without the requirement of sponsorship at any point in the future. Salary Range:$75,000 - $100,000 Please note that quoted salary ranges are not guarantees of what final salary offers may be. Base pay may vary depending on job-related knowledge, skills, experience, and geographic location. Base pay is only one part of the Total Rewards that LSL, LLP provides to compensate and recognize our professionals for their work. All exempt positions are eligible for a discretionary bonus and all employees who are regularly scheduled to work 30 hours or more per week are offered a comprehensive benefits package. Work Environment Typical indoor office environment Disclaimer The above statements are intended to describe the general nature and level of the work being performed by people within this classification. They are not intended to be an exhaustive list of all responsibilities, duties and skills required of employees assigned to this job. Pay Range: $75,000 - $100,000 per year

Role Description Join our Artificial Intelligence team as a Senior Software Engineer (with an overlap into ML Engineer) and help us revolutionize marketing with ML-powered solutions! You'll work on cutting-edge technologies, impacting millions of users, and contributing to a product that truly makes a difference. Starting monthly compensation begins at 4000 EUR gross, with the final offer tailored for each candidate based on their skills and experience. Stock options and a comprehensive benefits package are also included. Working in one of our Central European offices (Bratislava, Brno, Prague) or from home on a full-time basis, you´ll become a core part of the Engineering Team. What challenge awaits you? - Building and maintaining ML-powered features in a production environment, ensuring they are reliable, scalable, and deliver real value to our users. - Cooperating with teammates, Data Science engineers, and Engineering and Product leaders to speed up ML-powered features' delivery. - Applying principles of continuous discovery, integration, testing, and other techniques from Agile, DevOps, and MLOps mindsets. - Building efficient workflows, automating processes, and fostering a culture of collaboration and innovation. Your job will be to: - Design & Deliver new features - Translate business requirements for ML-powered features into technical specifications and design documents. - Collaborate with data scientists to ensure new ML features' technical feasibility and scalability. - Define and develop back-office API endpoints as well as high-performance serving endpoints. - Develop and implement ML models, algorithms, and data pipelines to support new features. - Deploy and monitor new features in production, ensuring seamless integration with existing systems. - Ensure quality and performance of developed solution - Perform rigorous testing and quality assurance of ML models and code, including unit tests, integration tests, and A/B testing. - Implement monitoring systems and dashboards to track the performance of ML models in production. - Contribute to developing and implementing DevOps and MLOps best practices within the team. - Support and Maintain owned components - Maintain end-to-end features, encompassing back-office APIs, models, definitions, and high-performance serving APIs. - Provide ongoing support and maintenance for existing ML-powered features. - Support client-facing colleagues in the investigation of possible issues (L3 support). - Document code, design decisions, and operational procedures to facilitate ongoing maintenance and knowledge sharing. Qualifications - Proven experience in Python engineering, with a strong focus on designing and maintaining AI/ML-powered features in production environments. - Experience with cloud platforms (e.g., GCP, AWS) and relevant services for ML development and deployment. - Solid understanding of software architecture principles, particularly in the context of building and maintaining scalable and reliable APIs and microservices. - Experience with version control systems (e.g., Git) and CI/CD pipelines for efficient development and deployment. - Familiarity with common ML frameworks, libraries, and tools (e.g., TensorFlow, PyTorch, Scikit-learn, etc.). Requirements - A genuine passion for learning new technologies and keeping up-to-date with the latest advancements in AI/ML. - Demonstrates strong initiative, ability to work within a team, and communication skills. - A commitment to delivering high-quality work and a dedication to continuous improvement. Benefits - A great deal of freedom and trust in the workplace. - Defined company values and behaviors embedded in processes. - Flexible working hours to accommodate your working style. - Virtual-first work environment with several Bloomreach Hubs available across three continents. - Company events to foster a global spirit. - 5 paid days off to volunteer. - Employee Assistance Program with counselors for non-work-related challenges. - Subscription to Calm - sleep and meditation app. - ‘DisConnect’ days for additional time off each quarter. - Extended parental leave up to 26 calendar weeks for Primary Caregivers. - Restricted Stock Units or Stock Options based on role, seniority, and location. - Participation in the company's success through performance bonuses. - Employee referral bonus of up to $3,000. - Celebration of work anniversaries - Bloomversaries!