Requirements Engineer jobs at Invesco - 1390 jobs

A leading data solutions provider is seeking a Machine Learning Platform Engineer in Chicago. You will drive the setup of new data science environments and lead cross-functional teams in developing effective data science workflows. The ideal candidate will have a strong background in MLOps, advanced programming skills, and a Master's or PhD in a quantitative field. This hybrid position offers flexible benefits and a salary range of $112,500 to $187,500 annually. #J-18808-Ljbffr

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high‑performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand‑in‑hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Why this Role Matters We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production‑grade applications used by millions of users across multiple lines of businesses. In this role, you will Partner with a cross‑functional team of engineers, research scientists, technical program managers, and product managers to deliver AI‑powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi‑tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows: you will evaluate agentic frameworks such as LangGraph, AutoGen, Semantic Kernel, CrewAI and LlamaIndex and then harden/blend patterns that best meet enterprise SLAs so that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end‑to‑end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content‑filter hooks, red‑team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross‑organization architects to drive end‑to‑end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per‑token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto‑scale agents to hit tenant SLAs. Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Basic Qualifications Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies. At least 8 years of experience programming with Python, Go, Scala, or Java. Preferred Qualifications 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud). 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen). 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning). 8+ years of experience designing mission‑critical machine learning platforms. 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems. Demonstrated ability to lead and mentor multiple engineering teams and influence cross‑functional stakeholders up to the VP level. Experience developing AI and ML algorithms or technologies (e.g. LLM inference, similarity search and VectorDBs, guardrails, memory) using Python, C++, C#, Java, or Golang. Master's degree in Computer Science, Computer Engineering, or relevant technical field. Experience developing and applying state‑of‑the‑art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost. Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers. Experience leading GenAI or LLM‑Powered application architectures in production. Deep understanding of Responsible AI, data privacy and multi‑tenant security patterns. Experience as a Staff‑plus or Distinguished IC engineer influencing 50+ engineers and C‑suite stakeholders. K8s mastery (multi‑region clusters, service mesh). Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full‑time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part‑time roles will be prorated based upon the agreed upon number of hours to be regularly worked. San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being. Learn more at Capital One Careers website. Eligibility varies based on full or part‑time status, exempt or non‑exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23‑A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901‑4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to **********************. Capital One does not provide, endorse nor guarantee and is not liable for third‑party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). #J-18808-Ljbffr

* You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.* Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.* You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.* You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.* You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.* Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies* At least 8 years of experience programming with Python, Go, Scala, or Java* 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)* Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems* Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level* Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang* Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost* Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production* Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. #J-18808-Ljbffr

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Salaries (San Francisco, CA) $287,800 - $328,500 Salaries (San Jose, CA) $287,800 - $328,500 Benefits Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23‑A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901‑4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. Recruiting Contact RecruitingAccommodation@capitalone.com #J-18808-Ljbffr

At Truth Systems, we're building the only trust and safety software any organization will ever need. A protection layer for every individual. We're laying that foundation with AI Governance. Our product Charter is an agent that monitors and flags misuse of AI in line with firm policies and client rules in real time. We're building always-on, real-time systems that keep people safe and organizations compliant without slowing down their work. We are: Small and well-funded. We've raised $4M from world-class investors like Gradient Ventures, Lightspeed, The Legaltech Fund, Y Combinator, and Pear VC. We are currently a team of 4. We are hiring thoughtfully, with ~3 people in the next 6 months. Intensely trustful + high ownership. We optimize for impact per person by requiring high ownership from each team member. We hire experts, ambitious problem-solvers, and generally unstoppable people, and we place a lot of trust in them. We prefer short (or no) meetings, full autonomy, and individualized schedules. Your Mission Over the next 12-18 months, you will embed with customers to help firms navigate and uncover risk surfaces within their organizations. This role blends engineering and customer empathy. You'll work directly with clients to understand workflows, translate them into software, and ensure successful adoption. Outcomes Customer integrations from 0 → 1. Lead deployments of our agents and backend systems in live customer environments. Deliver reliable, secure, and fast integrations. Feedback-driven development. Translate client insights into product improvements and new features. Influence our roadmap through real-world usage. Customer Partnership: Collaborate deeply with clients to identify their pain points, propose solutions, and deliver measurable value. Travel for Deployment and Collaboration: Travel to meet customers across the U.S. (e.g., NYC, Atlanta, Chicago, Seattle, Ohio, and more) for implementations, feedback sessions, and training. Competencies Technical and hands-on: You've spent 1+ years building real products in production - shipping code, wrestling with weird APIs, and making things work in messy, real-world stacks. Full-stack curious: You're fluent in TypeScript/JavaScript (React or Next.js for lightweight UIs) and comfortable with at least one backend language like Python for integrations and automations. Deeply empathetic (must be): Both our team and our customers require empathetic and low-ego people. Some of our users' careers depend on our product being ‘right', so trusting and listening to them is our most important skill. Independent and process building (must be): We don't have a lot of structure. You'll build many processes and set standards yourself, and everyone we hire after you will follow them. Adventurous: You're comfortable with the unknown, love building new experiences, and don't mind travel when it helps you get closer to the problem. Our team's roots span 4+ continents - we like working (and learning) with people from everywhere. Why Join Truth Systems Autonomy: You'll have full ownership of what you build. We trust you to make the right calls, set your own pace, and push projects from idea to production without red tape. Output-focused, not input-focused: We care about impact, not hours. Now that is not to say there will not be days when hours don't get long, but you'll be judged by what you deliver and how it moves the needle - not how long you sit in front of a screen. Cutting-edge meets meaningful: You'll be working at the edge of AI - designing systems that redefine how humans interact with intelligence. At Truth Systems, we care deeply about helping knowledge workers trust AI and move them toward safer, more responsible, and transparent use. Logistics Salary: $170K-$250K Equity: 0.3-1% Location: In-person in San Francisco, with regular travel to customer sites across the U.S. Perks: Meals, housing/relocation, equipment, and benefits included Work Authorization: We cannot sponsor visas at this time #J-18808-Ljbffr

Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. This is a full-time role that is hybrid from our San Francisco or Seattle Office We're seeking a Staff ServiceNow Engineer who thrives in a fast-paced environment and enjoys solving complex challenges with elegant technology solutions. In this role, you will develop and enhance key components of our ServiceNow platform-including Employee Center Pro experiences, Now Assist AI capabilities, and automation across our enterprise workflows. You'll collaborate with cross-functional teams to refine requirements, architect durable solutions, and elevate engineering standards through peer reviews and mentorship. This is an opportunity to influence platform strategy, contribute to innovation, and deliver high-impact capabilities that support our growing organization. What you'll do: Design and Develop Solutions: Build, enhance, and maintain scalable solutions within the ServiceNow platform with focus on ITAM (HAM Pro, SAM Pro) , CMDB, Employee Center Pro and Now Assist following ServiceNow's best practices and development standards. Own the Technical Delivery: Lead the full lifecycle of solution development, from requirements analysis and technical design to configuration, scripting, testing, and production deployment. Collaborate Across Teams: Work closely with business stakeholders, product owners, and architects to understand needs, refine requirements, and translate them into scalable, maintainable ServiceNow solutions. Enhance Employee Experience: Configure and customize Employee Center Pro, including content taxonomy, audience targeting, user experience enhancements, and service journeys. Leverage AI/ML Capabilities: Implement and optimize Now Assist features such as generative AI experiences, virtual agent improvements, and intelligent recommendations to elevate platform usability. Ensure Data Accuracy and CMDB Health: Drive CMDB data model governance, enforce relationship and dependency rules, and maintain alignment with the Common Service Data Model (CSDM). Integrate Systems and Automate Workflows: Design and implement integrations between ServiceNow and external systems (e.g., procurement, cloud platforms, monitoring tools) using IntegrationHub, REST, and APIs. Perform Peer Reviews: Conduct and participate in code and configuration reviews, ensuring adherence to coding standards, maintainability, and platform performance. Champion Platform Quality: Establish and uphold development, testing, and release management best practices in collaboration with platform owners and governance teams. Provide Technical Updates and Guidance: Communicate technical progress, design decisions, and risks to project stakeholders and leadership in a clear and structured manner. Support Continuous Improvement: Identify opportunities to optimize processes, automate manual workflows, and enhance ServiceNow usability and performance. Mentor and Lead by Example: Support junior developers through technical guidance, documentation, and promoting a culture of engineering excellence. What you'll need: 7+ years of hands‑on experience designing, developing, and maintaining Servicenow solutions in enterprise‑scale environments. Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent work experience). Deep understanding of HAM Pro, SAM Pro,CMDB modules, including lifecycle management, discovery, reconciliation, and compliance. Strong experience configuring Employee Center Pro including content creation, portal configuration, taxonomy design, search optimization, and UX enhancements. Working knowledge of Now Assist, generative AI capabilities, conversational experiences, and AI‑driven automation within the ServiceNow platform. Proven ability to write clean, modular, and maintainable code aligned with ServiceNow's technical and security best practices. Skilled in engaging with business partners, product owners, and architects to align technical solutions with strategic goals. Experience in peer code reviews, test planning, debugging, and performance tuning to ensure solution reliability and scalability. Expertise in Common Service Data Model (CSDM) and its application within CMDB governance and data quality frameworks. Strong background working in Agile/Scrum environments, managing backlogs, and delivering iterative platform enhancements. Ability to convey complex technical concepts to both technical and non‑technical stakeholders; excellent documentation and presentation skills. Passion for staying current on ServiceNow platform updates, new features, and emerging ServiceNow trends. ServiceNow Certified System Administrator (CSA) preferred. Nice to have: ServiceNow Certified Application Developer Certified Implementation Specialist (CIS) in ITAM or CMDB Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! Pay range: $118,400.00 - $203,500.00 Payment frequency: Annual This role is also eligible for a bonus, long term incentives and competitive benefits. More information about our employee benefits can be found in the link above. SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles. Apply for this position Staff ServiceNow Engineer Information Technology #J-18808-Ljbffr

A financial services company in San Francisco seeks a Distinguished Data Engineer to lead innovation in data architecture and management. The role involves building critical data solutions, mentoring teams, and leveraging cloud technologies like AWS. Ideal candidates will have significant experience in data engineering, a Bachelor's degree, and proficiency in modern data practices to drive customer value through analytics and automation. #J-18808-Ljbffr

A technology firm focused on AI safety is seeking a candidate for a mission-driven role that melds engineering with customer empathy. You will be responsible for leading client integrations of trust and safety software, ensuring successful product adoption while also translating client feedback into actionable improvements. This in-person role is based in San Francisco and includes regular travel across the U.S. Competitive salary and equity are offered. #J-18808-Ljbffr

About This Role. BlackRock is seeking a Director, AI Deployment Engineer to lead the deployment and continuous improvement of artificial intelligence capabilities across Business Operations within the Technology & Operations organization. This role f Director, Engineer, AI, Business Operations, Continuous Improvement, Technology

A modern financial technology company is seeking a Staff Applied AI and Machine Learning Engineer in Seattle. You will lead the development of machine learning models to enhance risk management within a primarily payments-focused environment. Ideal candidates have over 8 years of experience in data science, expertise in statistical analysis, and strong programming skills in Python or R. This role requires effective communication and collaboration across diverse teams, offering an opportunity to make a significant impact on product development. #J-18808-Ljbffr

A modern financial technology company is seeking a Staff Applied AI and Machine Learning Engineer in Seattle. You will lead the development of machine learning models to enhance risk management within a primarily payments-focused environment. Ideal candidates have over 8 years of experience in data science, expertise in statistical analysis, and strong programming skills in Python or R. This role requires effective communication and collaboration across diverse teams, offering an opportunity to make a significant impact on product development. #J-18808-Ljbffr

A modern financial technology company is seeking a Staff Applied AI and Machine Learning Engineer in Seattle. You will lead the development of machine learning models to enhance risk management within a primarily payments-focused environment. Ideal candidates have over 8 years of experience in data science, expertise in statistical analysis, and strong programming skills in Python or R. This role requires effective communication and collaboration across diverse teams, offering an opportunity to make a significant impact on product development. #J-18808-Ljbffr

A modern financial technology company is seeking a Staff Applied AI and Machine Learning Engineer in Seattle. You will lead the development of machine learning models to enhance risk management within a primarily payments-focused environment. Ideal candidates have over 8 years of experience in data science, expertise in statistical analysis, and strong programming skills in Python or R. This role requires effective communication and collaboration across diverse teams, offering an opportunity to make a significant impact on product development. #J-18808-Ljbffr

A modern financial technology company is seeking a Staff Applied AI and Machine Learning Engineer in Seattle. You will lead the development of machine learning models to enhance risk management within a primarily payments-focused environment. Ideal candidates have over 8 years of experience in data science, expertise in statistical analysis, and strong programming skills in Python or R. This role requires effective communication and collaboration across diverse teams, offering an opportunity to make a significant impact on product development. #J-18808-Ljbffr

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It's time to build. We are looking for a skilled MES Engineer to join our Manufacturing team. In this hybrid role, you will lead the integration and optimization of our MES infrastructure while contributing your automation controls expertise to support a tightly connected, data-rich manufacturing environment. You will be instrumental in bridging the digital and physical layers of our production systems-connecting MES platforms with shop floor controls (work stations, PLCs, sensors, testers, motion systems) to deliver traceability, operational visibility, and high system reliability. This is a hands-on engineering position that spans system architecture, controls programming, MES development, and factory floor integration. Responsibilities: Design, configure, and maintain the MES infrastructure with a focus on scalability, reliability, and real-time data availability. Integrate MES with new and existing production equipment, work stations, test stations, automation cells, and data acquisition systems. Develop and maintain robust UI interfaces, ensuring full traceability, error handling, and synchronization of production events. Build real-time dashboards and data pipelines to monitor OEE, system status, test results, and production KPIs. Collaborate with manufacturing engineers to support new process introductions, controls programming, commissioning, automation changes, and MES-related troubleshooting. Create and maintain internal documentation for MES standards, architecture, and integration workflows. Ensure data integrity and high MES availability in a fast-paced, high-mix production environment. Requirements: 5+ years of experience in MES systems engineering, industrial automation, or controls engineering in a manufacturing setting. In-depth understanding of ISA-95 MES architecture and its integration with automation equipment. Strong experience with PLCs (e.g., Allen-Bradley), industrial controls, and HMI/SCADA platforms (e.g., Ignition, Sepasoft) Hands-on experience with industrial communication protocols (e.g., OPCUA, EtherNet/IP, EtherCAT). Proven ability to troubleshoot across software, hardware, and control systems domains. Proficient in scripting (e.g., Python, structured text). Familiarity with traceability, OEE and digital twins. Bonus Qualifications: Bachelor's or Master's in Industrial Engineering, Computer Engineering, Mechatronics, or a related field. Ignition Certification/ SEPASOFT MES CERTIFICATION ERP/PLM Experience, OT/IT, Cyber Security CATIA V6 Experience The US base salary range for this full-time position is between $145,000 and $220,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA. We are seeking a New Product Introduction (NPI) Engineer to oversee and drive the successful execution of prototype and pilot production builds. This role requires a strong leader who can coordinate cross-functional teams, manage materials and resources, maintain schedules, and ensure a smooth production process from start to finish. The ideal candidate thrives in a fast-paced environment and has a hands-on approach to problem-solving. Responsibilities: Manage the MBOM (Manufacturing Bill of Materials): Ensure accuracy, completeness, and availability of all components needed for the build. Change Management: Perform or coordinate change impact analysis, track implementation of ECNs and design changes. Oversee Prototype Builds: Track and coordinate the arrival of all required materials, consumables, and staffing resources necessary for the build. Act as primary DRI for coordinating all build activities. Develop & Maintain Build Schedule: Create and enforce timelines, ensuring alignment with production goals and deadlines. Record & Track Issues: Maintain detailed documentation of all issues encountered during the build, from component failures to process inefficiencies. Drive Issue Resolution: Ensure all Directly Responsible Individuals (DRIs) address and resolve issues in a timely manner, pushing for root cause analysis and corrective actions. Requirements: Bachelor's degree in Engineering, Manufacturing, Supply Chain, or a related field (or equivalent experience). 3+ years of experience in NPI, manufacturing, or project management. Strong understanding of manufacturing processes, BOM management, and supply chain logistics. Understanding of PLM/ERP/MRP systems, scheduling tools, and data analysis. Strong communication and leadership skills with the ability to drive accountability. The US base salary range for this full-time position is between $135,000 - $200,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

Titan is an AI holding company transforming IT services with its Augmented AI platform. We acquire and partner with the best Managed Service Providers (MSPs) and embed AI at the core of their operations, empowering technicians to work faster, smarter, and more strategically. Our augmented AI platform enables MSPs to scale like technology companies while delivering faster resolutions, better uptime, and more proactive, personalized support for their customers. In under a year, we've raised over $70M from General Catalyst, acquired market-leading MSPs like RFA, and deployed agents seeing real-world impact to productivity. Our team bring together AI product expertise from Scale AI, Google, MIT, and Stanford with private equity experience from H.I.G. Capital and seasoned MSP executives who have led some of the industry's top providers. Joining Titan means helping to redefine how work is done in IT Services and building a $100B company. About The Role: As an AI Engineer at Titan, you'll play a pivotal role in shaping the future of AI-powered IT service delivery. You'll work across the stack to build intuitive, high-impact products that blend human expertise with autonomous AI agents, transforming how managed service providers (MSPs) operate. This is an opportunity to join an early-stage team, have meaningful product ownership, and help define the engineering culture as we scale. What You Will Do: Design, build, and optimize AI models that enhance automation and decision-making for IT operations. Work closely with design and product teams to build user-centric experiences that empower technicians and enhance service delivery. Research and experiment with cutting-edge AI techniques to improve model accuracy and performance. Collaborate with AI and backend engineers to integrate our AI-powered platform into customer-facing tools. Make key technical decisions around model architecture, training infrastructure, and AI best practices. Ship fast and iterate, balancing speed with quality in a fast-paced, startup environment. Who You Are: 4+ years of experience in AI/ML engineering, with hands-on experience in training, deploying, and optimizing models. Comfortable working with large datasets and deploying models in production environments. Startup mindset-comfortable with ambiguity, eager to take ownership, and ship quickly. Experience working closely with designers and product managers to bring ideas to life. Bonus: Experience with LLMs, fine-tuning, prompting, model distillation, or AI agents is a plus.

If you are not sure that you're 100% qualified, but up for the challenge - we want you to apply. We recognize the value of training our employees and the outcomes they can achieve. We are currently offering a blended work model, but all candidates must be either Denver based, or willing to relocate to Denver, CO. Full -time, permanent remote work is not available for this role. Sponsorship for nonimmigrant visas are not offered Who we are: Founded in 1985, Richey May provides assurance, tax, and business advisory services to clients throughout the United States. Our firm has focused on serving clients in the Financial Services industry for over 30 years. Why Richey May: Being part of the Richey May team, you'll be joining one of the Fastest Growing Public Accounting Firms in the country that has been awarded the Inside Public Accounting Excellence in Firm Culture award! Here you'll have the professional resources to help advance your career while supporting your life outside of the office! What Our Security Engineer II's Do: Adheres to the highest degree of professional standards and strict client confidentiality. Aids in the evaluation of existing technical solutions and risk areas of Richey May and Company (RMC) customers. Provides deep technical expertise regarding security risks and risk mitigation practices. Aids in the evaluation of existing technical solutions and risk areas of RMC customers. Responsible for maintaining and delivering deep technical guidance related to enhancing clients' security posture and the deployment and maintenance of cybersecurity solutions. Aids in supporting and maintaining RMC partnerships with leading cloud solution providers. Proactively addresses changes in the threat landscape that can impact RMC customers. Oversees and aids in the development of the design and implementation of security architecture controls. Aids in the execution of routine cybersecurity, assessments, reviews and monitoring. Assists in the drafting of assessment reports and other reports of findings. Acts as the liaison between technical and non-technical people within and outside the firm. Practices regular and predictable attendance. Performs other duties as assigned. Our Ideal Candidate: Ability to follow all Richey May & Co policies, procedures, standards, specifications, guidelines, actively participate and attend employee meetings and complete required training programs in a timely basis. Ability to promote, work, and act in a manner consistent with the mission of Richey May & Co. Ability to communicate and collaborate with team members to ensure superior results and team success. Skill in exercising independent judgment to plan, prioritize and organize a diversified workload, and recommend changes in office practices or procedures. Ability to identify and resolve problems in a timely manner. Strong verbal and written communication skills. Ability to adapt to and work with a variety of situations, individuals, and groups. Openness to different and new ways of doing things and changing situations. Ability to plan and manage multiple projects and tasks at the same time while meeting specific and structured timelines. Knowledge of relevant software and hardware. Knowledge of Microsoft, Linux and Apple operating systems, servers and applications. Expert understanding of Networking and Security concepts. Strong Knowledge of International Organization for Standardization (ISO) 27001 or National Institute of Standards and Technology (NIST) 800-32. Ability and willingness to travel. Qualifications: A minimum of three (3) years of experience in a cybersecurity discipline at a senior level is required. An equivalent combination of education and experience may be substituted on a year to year basis. Security certifications such as Certified Information Security Manager (CISM) or Certified Information Systems Security Professional (CISSP) is required. Certified Ethical Hacker (CEH), Certified Cloud Security Professional (CCSP) Amazon Web Services (AWS) Certified Solutions Architect + Security or Microsoft Certified Solutions Expert MCSE Cloud Platform and Infrastructure is preferred. Possession of, or ability to obtain, a valid Driver's License is required within two weeks of employment. Must have reliable transportation. Candidates must pass a criminal background check. We are proud to offer the following firm-sponsored benefits: employee medical, employer health savings account contribution, life insurance, and long-term disability. Other voluntary benefits include short-term disability, accident, vision, dental, and medical for dependents. We offer a discretionary profit-sharing 401k plan, certification bonuses, education reimbursement, 10 paid holidays, and up to 27 days of PTO per year. Employees are eligible for a performance-based incentive bonus on top of base salary. The salary range for this role is $71,000 to $106,000. Richey May & Co., LLP is an Equal Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, religion, national origin, sex, age, marital status, sexual orientation, gender identity, citizenship status, veteran status, disability, or any other characteristic protected by law. #LI-DNI

About the Hiring TeamWelcome to Lightspeed LA, the first U.S.-based, AAA game development studio for Tencent Games. Lightspeed LA is focused on building open-world games that emphasize an ambitious living world, sophisticated player-driven gameplay, and mature, thoughtful storytelling. We are developing the first in a series of genre-defining titles. Why join Lightspeed LA? For us, it's not only about the exciting, new AAA open world game we're developing but also about team values and studio culture. We foster an open and transparent environment where everyone feels comfortable providing constructive feedback about all aspects of our games. ● We encourage the showing of work that's still in progress. ● We don't attack or question unfinished work, we celebrate its promise. ● We have a No Blame Culture where we blame the problem, not the person. This is a safe place to fail, and we don't view failure as a negative, but as the natural result of pushing boundaries and trying new things. We create together. We face Challenges Together. We succeed together.What the Role Entails Work with and lead a gameplay engineering team to craft development of innovative gameplay content systems and experiences Work with design and production and engineering leadership to manage the gameplay schedule and backlog Implement, debug and optimize gameplay systems in C/C++ and other languages Author lean, high-performance, maintainable code Cultivate strong cross-disciplinary working relationships based on honesty and transparency among various departments within the studio Leadership and Management: Provide technical leadership across multiple gameplay systems and features Mentor, develop, and learn from engineering colleagues Be a leadership resource for engineers across the entire gameplay team Help build and maintain an open and energetic team culture Conduct regular one-on-one meetings with team members to provide guidance, feedback, and support their professional development Participate in the recruitment and onboarding of new team members, ensuring a diverse and skilled team that aligns with project requirements Facilitate team-building activities to promote a positive and collaborative working environment Who We Look For Experience working in Unreal Engine Passion and enthusiasm for creating fun and engaging gameplay through iteration and innovation Experience bringing multiple large-scale game titles to completion on PC and consoles 7+ years of professional game programming experience Experience managing direct reports Experience performing in a senior or principal software engineering role or equivalent Ability to collaborate with other engineers, designers, artists and other game developers Ability to work well in a fluid, changing environment as creative challenges evolve Deep knowledge of gameplay systems involving AI, animation, physics, and character-related systems from engine to game Expert in C++, debugging, and 3D mathematics Enjoy working closely with creative and technical team members Value lean, simple, efficient, well-tested code Strong written and verbal communication skills Preferred: Experience with game console hardware Understanding of game asset pipelines Why Join Us? Location State(s) US-California-IrvineThe expected base pay range for this position in the location(s) listed above is $116,200.00 to $343,600.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company's 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee's tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year.Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.