Requirements engineer jobs in Edison, NJ - 2,762 jobs

This leading NYC construction & development firm have a 40-year history of delivering bespoke high-rise projects throughout the boroughs. They are currently looking for a Junior Preconstruction Manager / Project Engineer to provide preconstruction services across multiple concurrent multi-family projects valued between $50-200M. In this role, you will work closely with the VP and the existing team across the typical precon functions from estimating and buyouts through value engineering and project cost control. Whilst existing holistic preconstruction experience is preferred, they are also open to a project management professional with estimating experience who is looking to transition to the office/a preconstruction role. Either way, the role will require circa 2-5 years' experience, and a technical (engineering or architecture) degree. This is a great opportunity to grow your career with a leading developer-builder with a great reputation and a growing backlog of projects.

As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community. Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization. In this role, you will partner with the Capital One Travel Data & Personalization team to architect the next generation of our Travel Intelligence Platform, serving as theprimary architectfor the foundational data schemas and orchestration layers that power our entire travel ecosystem. Your mission is to move beyond reactive tools by establishing aholistic Agentic AI framework-a vision where reasoning-based agents bridge the gap between high-scale data orchestration and real-world execution. You will be responsible for building an ecosystem that simultaneously enablesclassic machine learning model developmentfor predictive insights while scaling agentic systems to automate complex workflows. This enablesproactive journey management, where AI anticipates needs and prepares recommendations while incorporating human-in-the-loop approval when necessary. A key component of your strategy will be designing our growth marketing engine, where you will lead thestrategic selection and architectural integrationof our technology stack to ensure seamless, hyper-personalized, and value-optimized customer acquisition. By unifying these intelligent systems with a robust and scalable data architecture, you will transform how millions of customers discover, book, and experience travel within our premium portfolio. If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good. Key responsibilities: Articulate and evangelize a bold technical vision for your domain Decompose complex problems into practical and operational solutions Ensure the quality of technical design and implementation Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability Continue learning and injecting advanced technical knowledge into our community Handle several projects simultaneously, balancing your time to maximize impact Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Basic Qualifications: Bachelor's Degree At least 9 years of experience in software engineering (including solution architecture and enterprise design patterns). At least 7 years of experience in Data Engineering or Machine Learning Engineering, specifically building and maintaining large-scale production data pipelines (PySpark, SQL, Airflow). At least 5 years of experience in Cloud Native Architecture (AWS preferred), including container orchestration (Kubernetes/KubeFlow) and serverless design. At least 3 years of experience in a Technical Leadership role (Principal, Staff, or Distinguished Engineer), leading cross-functional initiatives without direct reporting lines. Preferred Qualifications: 10+ years of experience in Software Engineering and Solution Architecture with a focus on high-scale data systems. 3+ years of experience in Machine Learning Engineering, specifically implementing LLMs or Agentic workflows in production. Deep expertise in Data Design (Delta Lake, Snowflake, or Iceberg) and Streaming (Kafka). Proven track record of building MarTech or Personalization engines that scale to millions of users. Strong communication skills with the ability to translate "Agentic AI" concepts into business value for CX & Growth Marketing leadership. 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. New York, NY: $287,800 - $328,500 for Distinguished EngineerMcLean, VA: $263,900 - $301,200 for Distinguished 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 the 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).

About the Role We are a stealth U.S. startup building a high-impact software platform that will redefine operations within our target industry. We are searching for a Founding Engineer who has previously built and shipped full software products, someone who can take ownership, work closely with the CEO, and help craft the product from the ground up. You will be building a platform that must be secure, fast, reliable, and scalable. Your work will shape the foundation of the company. Responsibilities Build the MVP quickly while maintaining clean, modern architecture Write production-level frontend, backend, and database code Implement platform security, authentication, and data protection Collaborate closely with the CEO on product decisions and sprint priorities Build internal tools, dashboards, and new features at startup speed Help shape engineering culture from day one Requirements Experience building software from end-to-end (solo or as a lead) Strong knowledge of React/Next.js, Typescript, Node.js, PostgreSQL or similar Ability to architect secure systems with best practices Entrepreneurial mindset, comfortable iterating quickly Open to equity-only compensation during initial phase Compensation Competitive founding-team equity Equity-only in the early phase Remote Path to salary after funding If this role resonates with you and you have built full products before, please apply. I review every application personally and would love to explore whether this could be a strong fit.

As a Forward Deployed AI Engineer at Charta, you'll play a pivotal role in deploying, customizing, and optimizing cutting-edge generative AI healthcare solutions directly for our clients. At Charta, we're pioneering a transformative approach to healthcare billing through the power of generative AI. Our mission is to revolutionize this critical yet often cumbersome aspect of healthcare, empowering medical billers and coders with tools that elevate their efficiency by leaps and bounds. Our innovative AI technology enables these professionals to operate at an astounding 10x to 100x more efficiently, while significantly reducing operational costs to just 2% of the standard expense. In an industry where the focus should rightly be on patient care and clinical services, Charta steps in to ensure that healthcare providers are unburdened from the complexities of non-clinical operations. Our cutting-edge solutions are designed to handle the intricacies of the revenue cycle, freeing up healthcare professionals to concentrate on what they do best - caring for patients. Our vision at Charta is to create a seamless, efficient, and cost-effective billing process that is invisible yet indispensable. By entrusting us with the operational challenges, healthcare providers can redirect their resources and attention towards patient-centric services, secure in the knowledge that their billing needs are expertly managed. Join us in our journey to redefine healthcare billing, and be a part of a team that's making a tangible difference in the world of healthcare. About the Opportunity As a Forward Deployed AI Engineer at Charta Health, you will be at the forefront of deploying and customizing AI-powered solutions for our clients. You will work directly with healthcare providers to understand their unique challenges and translate them into practical, data-driven solutions using AI and machine learning. This role requires a blend of technical expertise, problem-solving skills, and a strong customer-centric mindset. You will thrive in a dynamic environment, rapidly deploying and iterating on solutions to deliver immediate value. What You'll Do: Collaborate closely with healthcare clients to understand their workflows and identify opportunities to leverage AI and machine learning. Customize and deploy Charta Health's AI-driven platforms to address specific client needs. Rapidly prototype and iterate on solutions, adapting to client feedback and evolving requirements. Break down complex projects into actionable steps and deliver results in ambiguous environments. Explore and integrate a wide range of AI/ML technologies, adapting to the diverse needs of our clients. Provide technical expertise and support to clients, ensuring successful deployment and adoption of our solutions. Work closely with our internal engineering team to provide feedback and contribute to product development. Stay up-to-date with the latest advancements in AI/ML and their applications in healthcare. You'd be a great fit if you have: Proficiency and practical coding skills, with a focus on delivering tangible results. Adaptability and the ability to quickly learn and master new technologies and concepts. A priority on delivering business value over solving purely theoretical challenges. A desire to explore a wide range of technologies and problems, rather than specializing in one area. The ability to thrive in ambiguous environments and rapidly produce results. The ability to excel at breaking down complex projects into actionable steps. Resilience and resourcefulness, allowing you to overcome obstacles and find creative solutions. Ambition and a desire for a high-growth opportunity. Strong emotional intelligence, excellent communication, and interpersonal skills. Excitement about working with external customers and building strong relationships. A genuine interest in the medical field and a passion for improving healthcare. Nice to Have: Experience and/or demonstrated interest in healthcare Proficiency in Python. Experience with Large Language Models (LLMs) and prompt engineering. Experience with neural networks and machine learning What We Offer: Competitive salary and comprehensive benefits package, including health, dental, and vision. Equity & growth opportunities in a fast-growing, innovative tech startup. Ongoing professional development and access to cutting-edge AI and healthcare tools. Lively, in-person work culture at our SF Headquarters or NYC office. $120,000 - $250,000 USD depending on experience + Equity + Benefits Join us in our mission to transform healthcare through innovation! Our Commitment to Diversity We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

About Beauty by Imagination: Beauty by Imagination is a global haircare company dedicated to boosting self-confidence with imaginative solutions for every hair moment. We are a platform company of diverse, market-leading brands, including Wet Brush, Goody, Bio Ionic, and Ouidad - all of which are driven to be the most trusted choice for happy, healthy hair. Our talented team is passionate about delivering high-performing products for consumers and salon professionals alike. Position Overview: We are looking for a skilled Data Engineer to design, build, and maintain our enterprise Data Warehouse (DWH) and analytics ecosystem - with a growing focus on enabling AI-driven insights, automation, and enterprise-grade AI usage. In this role, you will architect scalable pipelines, improve data quality and reliability, and help lay the foundational data structures that power tools like Microsoft Copilot, Copilot for Power BI, and AI-assisted analytics across the business. You'll collaborate with business stakeholders, analysts, and IT teams to modernize our data environment, integrate complex data sources, and support advanced analytics initiatives. Your work will directly influence decision-making, enterprise reporting, and next-generation AI capabilities built on top of our Data Warehouse. Key Responsibilities Design, develop, and maintain Data Warehouse architecture, including ETL/ELT pipelines, staging layers, and data marts. Build and manage ETL workflows using SQL Server Integration Services (SSIS) and other data integration tools. Integrate and transform data from multiple systems, including ERP platforms such as NetSuite. Develop and optimize SQL scripts, stored procedures, and data transformations for performance and scalability. Support and enhance Power BI dashboards and other BI/reporting systems. Implement data quality checks, automation, and process monitoring. Collaborate with business and analytics teams to translate requirements into scalable data solutions. Contribute to data governance, standardization, and documentation practices. Support emerging AI initiatives by ensuring model-ready data quality, accessibility, and semantic alignment with Copilot and other AI tools. Required Qualifications Proven experience with Data Warehouse design and development (ETL/ELT, star schema, SCD, staging, data marts). Hands-on experience with SSIS (SQL Server Integration Services) for building and managing ETL workflows. Strong SQL skills and experience with Microsoft SQL Server. Proficiency in Power BI or other BI tools (Tableau, Looker, Qlik). Understanding of data modeling, performance optimization, and relational database design. Familiarity with Python, Airflow, or Azure Data Factory for data orchestration and automation. Excellent analytical and communication skills. Preferred Qualifications Experience with cloud data platforms (Azure, AWS, or GCP). Understanding of data security, governance, and compliance (GDPR, SOC2). Experience with API integrations and real-time data ingestion. Background in finance, supply chain, or e-commerce analytics. Experience with NetSuite ERP or other ERP systems (SAP, Oracle, Dynamics, etc.). AI Focused Preferred Skills: Experience implementing AI-driven analytics or automation inside Data Warehouses. Hands-on experience using Microsoft Copilot, Copilot for Power BI, or Copilot Studio to accelerate SQL, DAX, data modeling, documentation, or insights. Familiarity with building RAG (Retrieval-Augmented Generation) or AI-assisted query patterns using SQL Server, Synapse, or Azure SQL. Understanding of how LLMs interact with enterprise data, including grounding, semantic models, and data security considerations (Purview, RBAC). Experience using AI tools to optimize ETL/ELT workflows, generate SQL scripts, or streamline data mapping/design. Exposure to AI-driven data quality monitoring, anomaly detection, or pipeline validation tools. Experience with Microsoft Fabric, semantic models, or ML-integrated analytics environments. Soft Skills Strong analytical and problem-solving mindset. Ability to communicate complex technical concepts to business stakeholders. Detail-oriented, organized, and self-motivated. Collaborative team player with a growth mindset. Impact You will play a key role in shaping the company's modern data infrastructure - building scalable pipelines, enabling advanced analytics, and empowering the organization to safely and effectively adopt AI-powered insights across all business functions. Our Tech Stack SQL Server, SSIS, Azure Synapse Python, Airflow, Azure Data Factory Power BI, NetSuite ERP, REST APIs CI/CD (Azure DevOps, GitHub) What We Offer Location: New York, NY (Hybrid work model) Employment Type: Full-time Compensation: Competitive salary based on experience Benefits: Health insurance, 401(k), paid time off Opportunities for professional growth and participation in enterprise AI modernization initiatives

ABOUT ROCKET MONEY Rocket Money's mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money - ultimately giving them a leg up on their financial journey. ABOUT THE TEAM Machine Learning Engineers at Rocket Money further our mission by building products that deepen customer relationships with our many financial products. Our work ranges from transaction enrichment to personalization to cross-functional tools that support various AI product initiatives. We work closely with product teams to develop features that help customers understand, track, and improve their personal finances. We have a strong preference for team players that are comfortable collaborating across teams, know how to support strategy with ML and AI powered user experiences, can deliver scalable and high quality user experiences, and understand the effects of their products on end users. At the Staff level, Machine Learning Engineers are expected to build broad expertise into our products and the ML solutions that power them as well as drive technical progress for the team. ABOUT THE ROLE As a Staff Machine Learning Engineer at Rocket Money, you will be at the forefront of our ML and AI product development, bringing your expertise to design, implement, and maintain sophisticated ML systems that drive our product experiences. You will : Lead the architecture and development of complex AI and ML powered features across Rocket Money's product suite, proactively identifying technical challenges before they become issues. Design, implement, and maintain robust evaluation frameworks. You ensure that ML / AI systems can be constantly improved and create frameworks so that others can do the same. Develop novel new product experiences that you are uniquely positioned to enable for users. Help Rocket Money capitalize on it's unique dataset and scale. Guide others to help generate impact through effective technical leadership and partnership with product. Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams. Rigorous technical critique and oversight coupled with effective communication of business impact are musts. Provide technical mentorship, fostering an environment where everyone can contribute to high-impact work. You will raise the level of everyone around you. Potential Projects Develop comprehensive evaluation and ML Ops frameworks that enable systematic assessment of model performance, supporting rapid iteration and improvement of AI / ML product features. Scale transaction metadata generation systems to billions of financial transactions in a consumer facing app. Implement AI assisted transaction management and personalization features such as personalized categories, income and rent detection, and subscription identification. Implement effective user feedback mechanisms that enable measurement of ML feature product quality and constant improvement. Architect user facing predictive features that depend on fast moving and large scale user transaction data. ABOUT YOU 8+ years of professional experience in machine learning engineering or data science roles, with a proven track record of designing and implementing ML systems at consumer tech scale and speed. Extensive hands-on experience integrating ML and AI methods into production workflows, including creating evaluation tooling and effective user feedback mechanisms to support rapid product development cycles and systematic model evaluation. Experience with prompt engineering and management, creating robust systems for testing and optimizing LLM-based applications. Expert-level proficiency in Python, SQL, and at least a handful of common ML frameworks. Working Typescript knowledge is a plus. You understand ML methods at a fundamental level - deep experience in NLP techniques is a plus. You are a master at taking ambiguous problems, creating clarity, and breaking down work into manageable chunks for implementation. You've owned the development, launch, and maintenance for several scaled ML / AI powered product experiences. You understand basic software engineering and computer science fundamentals and have applied them at consumer grade scale to build ML powered products in production environments. You are a technical leader who can identify both emergent technical opportunities and gaps relative to best practice. Your strong communication skills enable your team to capitalize on these opportunities and generate impact. You care about products and user experiences, not publications. You are a practitioner first and thrive at the (messy) intersection of the real world and cutting edge approaches. WE OFFER Health, Dental & Vision Plans Competitive Pay 401k Matching Unlimited PTO Lunch daily (in-office only) Snacks & Coffee (in-office only) Commuter benefits (in-office only) Additional information: Salary range of $210,000 - $260,000 / year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience. Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #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

Mini-Circuits designs, manufactures and distributes integrated circuits, modules, and sub-systems for high-performance radio frequency (RF) and microwave applications. With design, sales, and manufacturing locations in over 30 countries, Mini-Circuits' products are used in a range of wired and wireless communications applications. Our products are also used in detection, measurement, and imaging applications, including military communication, guidance, and electronic countermeasure systems, commercial, scientific, military land, sea, and aircraft; automotive systems, medical systems, and industrial test equipment. Mini-Circuits sells its products to over 20,000 customers globally through our direct sales force, applications engineering staff, and sales representatives, as well as through our extensive website. Position Summary Design, validate, and scale automated production test systems and robotic device handlers for RF and Microwave components. This role is responsible for enabling standardized architectures, throughput improvement, global alignment, and long-term scalability of automated test processes. Salary Range $100,000 - $125,000 per year Job Function Define, design, and validate standardized robotic test handlers, adaptable across multiple RF product lines. Drive new handler integrations and improvements, document FPY, OEE, and operator experience metrics. Collaborate with global teams (Brooklyn, Florida, India, Malaysia) to ensure alignment, backup-site readiness, and standardized deployment. System Design & Development Analyze test and assembly processes to identify candidates for automation based on capacity, efficiency, and process control needs. Develop scalable, modular designs for automated handlers, including mechanical, electrical, vision, and control systems. Specify and integrate sensors (vision, position, presence), robotic arms, conveyors, and fixturing for precision RF component handling. Incorporate RF test-specific requirements (grounding, thermal, high-frequency probing, shielding). Prepare proposals, resource/budget estimates, and project plans for new automation initiatives. Lead cross-functional reviews and maintain stakeholder communication from concept to qualification. Manage vendor engagement, procurement, build, and qualification of handler systems. Documentation & Training Create system specifications, qualification/buy-off plans, operation and maintenance procedures. Train users and support personnel on deployed automation platforms. Drive continuous improvement in throughput, FPY, reliability, and maintainability. Track and implement engineering changes and upgrades into future designs. Stay current with emerging automation technologies (vision, robotics, motion systems, AI-driven inspection) and evaluate for Mini-Circuits applications. Qualifications BS/MS degree in Mechanical, Electrical, Mechatronics, or Control Systems Engineering. Minimum 5 years of relevant experience. Experience with robotic systems, automated handlers, or precision motion/vision-based automation. Familiarity with high-mix/low-to-medium volume manufacturing environments. Controls programming experience (PLC, microcontrollers in C/C++, or equivalent). Data collection and analysis skills (Excel, JMP, Python). Preferred Knowledge Experience with automated inspection systems (AOI, Keyence, Cognex vision). Knowledge of RF test process requirements and challenges. Conveyor/robot integration, pneumatic actuators, precision fixturing. Understanding of Lean Manufacturing, OEE analysis, and ROI calculations. Exposure to manufacturing ERP and PLM systems (SAP, Arena PLM, etc.). Skills Strong communication and documentation skills. Ability to lead cross-functional teams and vendor collaborations. Capable of balancing hands‑on design/build/debug with strategic project leadership. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk and hear. The employee frequently is required to stand, walk, sit and use hands to operate a computer keyboard. The employee is occasionally required to reach with hands and arms. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, and ability to adjust focus. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Additional Requirements/Skills Must be a US citizen or US permanent resident Ability and willingness to abide by Company's Code of Conduct Occasional travel, some overnight, as required Benefits Comprehensive Medical, Dental, and Vision plans 401(K) and Profit‑Sharing Programs Disability Insurance Life Insurance Employer‑Sponsored Wellness Plans Hospital & Accident Indemnity Insurance Employee Benefit Advocate & Employee Assistance Program ul> Disclaimer: The listed qualifications and requirements for each position are intended as guidelines. Mini-Circuits reserves the right to hire outside of these guidelines at Management's discretion. Mini-Circuits is an Equal Opportunity Employer and does not discriminate on the basis of actual or perceived age, race, creed, color, national origin, sexual orientation, military status, sex, disability, predisposing genetic characteristics, marital status, familial status, gender identity, gender dysphoria, pregnancy‑related condition, and domestic violence victim status or protected class characteristic, or any other protected characteristic as established by federal or state law. #J-18808-Ljbffr

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description This role will be based in New York, Mountain View or San Francisco. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. LinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world's workforce in ways no other company can. LinkedIn is seeking a thoughtful, creative prompt engineer and AI linguist with strong editorial judgment to join our Editorial AI team. This team sits at the intersection of LinkedIn News and LinkedIn Learning, exploring how generative AI can improve editorial workflows, develop innovative member-facing products and power the future of learning on LinkedIn. The ideal candidate will possess experience in AI data annotation design, annotator training, content strategy, or linguistics, along with a strong interest or experience working in machine learning and/or data analysis. They will be adept at working cross-functionally; experience working with product managers and engineers is a plus. This role focuses on designing and evaluating annotations involving editorial and natural language classification tasks. It will involve validating large-scale editorial data annotations used to develop, evaluate, and vet machine-learning classifiers and generative AI systems. This role requires creative thinking, collaborative problem solving and a keen interest in exploring how to build new tools and solve different editorial challenges using generative AI. Coding experience, particularly with Python, is a plus. You will also be a nimble operator, able to juggle multiple projects and deadlines at once. The ideal candidate will be cool-headed under pressure and comfortable working on projects that may involve ambiguity and no single, immediate solution. Responsibilities: Drafting annotation guidelines and developing robust, scalable annotation plans. Analyzing annotation results to assess data quality, consistency, and model readiness (including inter-annotator agreement and reliability metrics). Drafting and testing generative AI prompts to power editorial and learning products at LinkedIn Evaluating the quality of outputs from prompts and classifiers developed by the Editorial AI team and cross-functional partners Workshopping prompt drafts and offering feedback to other members of the Editorial AI team Developing new ideas and solutions to solve generative AI challenges Keeping up to date on the latest trends and techniques in prompt engineering and generative AI Collaborating with cross-functional partners (engineers, product managers, designers) and other members of the LinkedIn editorial and LinkedIn Learning teams Working on several projects at once, occasionally on tight deadlines. Training other editors and partners in the basics of data annotation and prompt engineering. Qualifications Basic Qualifications: 3+ years experience in linguistics, data annotation work (including guideline development or quality review), journalism, content strategy, or similar role Experience working with generative AI tools (e.g., ChatGPT, Claude, etc.) Preferred Qualifications: Proficiency in Python (especially for prompt iteration, evaluation or data analysis). Demonstrated interest in AI/ML and/or natural language processing. Understanding of key prompt engineering/LLM concepts (few-shot prompting, model fine-tuning, etc.). Familiarity with SQL, Jupyter and/or Git. Experience working cross-functionally with technical teams. Outstanding verbal communication skills and strong analytical capabilities. Comfortable working in ambiguous environments and iterating quickly. Exemplary editorial judgment. Eagerness for experimentation and creative problem solving. Passion for learning new technologies and tools. Ability to see other people's points of view and welcome constructive feedback. Suggested Skills: Data annotation design and guidelines development Strong editorial judgment Creative problem solving Cross-functional collaboration Prompt engineering LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $100,000 to $161,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

As a Founding Engineer, you'll build core platform components that unify fragmented wealth management tools into one AI-native solution. You'll own major technical domains from the ground up, working directly with our founder to establish the technical foundations of the platform. What You'll Do Design and build end-to-end AI-powered workflows that automate complex financial advisor processes Design multi-agent AI workflows that automate complex financial processes and deliver intelligent insights Architect scalable systems handling real-time financial data orchestration across multiple third-party integrations Craft intuitive interfaces that make sophisticated AI capabilities accessible to financial professionals Make critical technical decisions with significant autonomy, shaping both product direction and engineering culture Qualifications 5+ years of experience as a full-stack engineer with Tier 1 venture-backed start-ups (Series B or earlier only) and Applied AI exposure Tech stack Python, Django, TypeScript, Vercel, AWS ECS, RDS/Postgres, Redis, Terraform, AI tools (e.g., ChatGPT, Claude Code, Cursor) Job Information Salary: $180k - $250k Equity: Incredibly competitive equity package available Visa: Sponsorship available On-site: In-person 5 days per week in NYC Position: Full-time position Location: New York City, NY

APTIM, a leading Environmental Engineering and Program & Construction Management firm with a global presence and a thriving Coastal & Marine Engineering practice, is pleased to announce an immediate opening for a Coastal Engineer in our New York City office. We are seeking a Marine / Coastal Engineer with 5-10 years of professional experience to support a diverse portfolio of environmental, engineering, and construction management projects throughout the New York City metropolitan area. The successful candidate will work on complex waterfront, coastal resiliency, and marine infrastructure projects, collaborating closely with environmental specialists, engineers, and construction management professionals. This role is ideal for an engineer with strong technical capabilities, regulatory awareness, and construction-phase experience in dense urban coastal environments. Key Responsibilities/Accountabilities: * Support the planning, analysis, and design of marine and coastal infrastructure, including bulkheads, piers, revetments, seawalls, flood protection systems, and shoreline stabilization features. * Provide construction-phase engineering and construction management support, including review of marine construction means and methods, shop drawings, RFIs, and submittals. * Conduct or support field inspections and site observations of marine construction activities such as pile installation, dredging, cofferdams, and in-water work. * Support dredging and sediment management programs, including sediment sampling plans, dredging limits, and coordination with contaminated sediment protocols. * Coordinate with multidisciplinary project teams, integrating marine engineering solutions with environmental constraints, constructability considerations, and project schedules. * Assist with cost estimating, constructability reviews, and schedule development for marine and coastal projects. * Participate in client, agency, and stakeholder meetings, preparing technical documentation, presentations, and responses to regulatory or contractor inquiries. * Support post-construction monitoring, inspections, and asset condition assessments for marine and coastal infrastructure. Basic Qualifications: * 5+ years of coastal engineering experience * Bachelor's Degree in Engineering field required * Professional Engineer (P.E.) license in the State of New York or the ability to be licensed within 6 months * In depth understanding of the marine and shoreline environment in New York City * Demonstrated technical and analytical skills in designing projects * Demonstrated history of technical leadership, mentoring, and independent success * Demonstrated strength in written and verbal communication skills suitable to a consulting environment * Demonstrated ability to fluently communicate in spoken and written English * Have a passion for working in a consulting firm environment on various types of projects * Experience with preparation of proposals, selection presentations and business development * Willingness to travel in support of business and project activities * Preferred office location is New York City ABOUT APTIM APTIM is committed to accelerating the transition toward a clean and efficient energy economy, building a sustainable future for our communities and natural world, and creating a more inclusive and equitable environment that celebrates the diversity of our communities. We specialize in environmental, resilience, and sustainability and energy solutions, as well as technical and data solutions, program management, and critical infrastructure. For every challenge our clients face, there is an opportunity for APTIM to innovate a fit-for-purpose solution that will raise your organization or community to a new standard of excellence. What you can expect from APTIM: * Work that is worthy of your time and talent * Respect and flexibility to live a full life at work and at home * Dogged determination to deliver for our clients and communities * A voice in making our company better * Investment into your personal and professional development As of the date of this posting, a good faith estimate of the current pay range for this position is $110K-$140K. Compensation depends on several factors including: experience, education, key skills, geographic location of the position, client requirements, external market competitiveness, and internal equity among other employees within APTIM. Employee Benefits APTIM Resilient Solutions is committed to providing an extensive range of benefits that protect and promote the health and financial well-being of our employees and their families through the APTIM Benefits Marketplace ******************************************** vision, and dental insurance: Through the marketplace, our employees can choose benefits from five metallic levels and 10+ carriers to find the right benefits that work for them in their location. * Life insurance * Short-term and long-term disability insurance * Paid holidays, vacation, and sick leave (eligibility based on company policy and applicable law) * 401(k) APTIM offers three 401k plans through the Aon Pooled Employer Plan (PEP). The specific plan you are eligible for depends on the business unit you are in. The details of the largest plan are found here: * APTIM 2026 401(k) Plan Features (makeityoursource.com) * APTIM - Helpful Documents * Watch our video: About APTIM - In Pursuit of Better * #LI-Onsite #LI-BS1

Join our IT team, advance your career, and seize the opportunity as a Digital Employee Experience Google CES Engineer. We foster a culture of knowledge sharing and actively seek innovative thinkers who aim to shape the future. In this role, you will gain valuable experience into our business operations and have the opportunity to be an integral part of something big!The Google Engineer for Customer Engagement Suite (CES) is a visionary and hands-on technical leader responsible for designing, implementing, and optimizing enterprise-scale solutions using Google's Contact Center as a Service (CCaaS) and Contact Center Artificial Intelligence (CCAI) platforms. This individual will define technical standards, ensure architectural integrity, and guide customers through their digital transformation journeys, leveraging the latest advancements in Google Cloud technologies. Required Education/Experience * Master's Degree Information Technology, Computer Science, or Engineering and A minimum of 3 years of IT experience or * Bachelor's Degree Information Technology, Computer Science, or Engineering and A minimum of 5 years of IT experience or * Associate's Degree Information Technology, Computer Science, or Engineering and A minimum of 7 years of IT experience or * High School Diploma/GED and A minimum of 10 years of IT experience Relevant Work Experience * Solid understanding of core GCP concepts, including setting up projects, understanding billing, and IAM (Identity & Access Management), with hands-on experience in roles, service accounts, and least-privilege design, required. * Familiarity with Infrastructure as Code (IaC) using tools such as Terraform or Deployment Manager to enable scalable and automated deployments, required. * Experience with Monitoring and Logging, including configuring dashboards, alerts, and incident response processes to ensure system reliability, required. * Proven expertise in implementing Google CCaaS and CCAI platforms, with hands-on experience in configuring, deploying and optimizing these technologies, required. * Familiarity with the Google Cloud platform ecosystem, including Compute Engine, Cloud Functions, Pub/Sub, Cloud Storage, and apply cyber security best practices, required. * Strong understanding of call routing, IVR, speech recognition, agent assist, analytics, reporting, and omnichannel capabilities, required. * Experienced in integrating cloud-based contact center platforms with CRM, ticketing systems, and custom enterprise applications, required. * Experienced in designing RESTful APIs and integrating with third-party services using modern architectures (microservices, event-driven design, etc.), required. * Practical knowledge of privacy frameworks and implementation of role-based access control, encryption, and data governance, required. * Demonstrated ability to lead cross-functional teams on complex technical projects from concept through delivery, required. * Ability to explain technical concepts to stakeholders and translate business needs into successful technical outcomes, required. * Experience with AI/ML frameworks and natural language processing platforms is preferred. Skills and Abilities * Ability to build strong customer relationships * Excellent collaboration and team building skills * Well organized, detail oriented and flexible to handle multiple assignments Licenses and Certifications * Driver's License Required * Other: Google Cloud certifications such as Professional Cloud Architect, Professional Collaboration Engineer, or relevant specializations. Preferred Physical Demands * Ability to push, pull, and lift up to 40 pounds * Sit or stand to use a keyboard, mouse, and computer for the duration of the workday * Possess manual dexterity and the ability to use hands for the duration of the workday * Ability to stoop, bend, reach, and kneel throughout the workday * Ability to read small print and symbols Additional Physical Demands * The selected candidate will be assigned a System Emergency Assignment (i.e., an emergency response role) and will be expected to work non-business hours during emergencies, which may include nights, weekends, and holidays. * The selected candidate will be assigned a System Emergency Assignment (i.e., an emergency response role) and will be expected to work non-business hours during emergencies, which may include nights, weekends, and holidays. Core Responsibilities * Architect, design, and implement contact center solutions that leverage Google CCaaS and CCAI, ensuring they meet enterprise-grade performance, security, and scalability requirements. * Collaborate with stakeholders, engineers, and product teams to gather requirements, analyze business processes, and translate them into solid technical solutions. * Lead end-to-end deployment and integration of Google CCaaS and CCAI, including conversational AI, virtual agents, agent assist, and speech analytics modules. * Act as the Subject Matter Expert to stakeholders, demonstrating thought leadership in CCaaS/CCAI technology and cloud transformation initiatives. * Mentor and guide engineering teams, fostering innovation and excellence in solution delivery. * Design and oversee integrations with legacy systems, CRM platforms, and third-party applications via APIs and microservices. * Monitor system performance, recommend enhancements, and adopt emerging Google Cloud technologies to drive continuous improvement. * Ensure solutions align with enterprise governance, compliance, risk management and cyber security frameworks. * Provide high-level support for critical incidents, troubleshoot architectural issues, and lead root cause analysis efforts. * Must be flexible and able to work off-hours as required to support deployments, resolve issues and respond to corporate emergencies.

About Gap Inc. Our brands bridge the gaps we see in the world. Old Navy democratizes style to ensure everyone has access to quality fashion at every price point. Athleta unleashes the potential of every woman, regardless of body size, age or ethnicity. Banana Republic believes in sustainable luxury for all. And Gap inspires the world to bring individuality to modern, responsibly made essentials. This simple idea-that we all deserve to belong, and on our own terms-is core to who we are as a company and how we make decisions. Our team is made up of thousands of people across the globe who take risks, think big, and do good for our customers, communities, and the planet. Ready to learn fast, create with audacity and lead boldly? Join our team. About the Role Build security into every release-and grow into leadership with full support. You'll design the pipelines, tools, and guardrails that let developers ship fast and safe. From day one, you'll own high-impact decisions on automation, cloud infrastructure, and security strategy-trusted with autonomy and backed with mentorship to reach your next career level. You'll go deep technically while gaining visibility across engineering, product, and leadership. You'll drive how applications move from code to production-integrating security into CI/CD, shaping cloud architecture, and setting standards teams rely on. As you embed yourself with squads, you'll build the influence to lead initiatives, not just implement them. Your work will secure more than systems-it will shape how the business delivers software with confidence. You'll work across multiple clouds (Azure, GCP), modern CI/CD platforms, and the latest security tooling-covering everything from runtime protection to code scanning-staying sharp through continuous learning and real-world challenges. Every win builds your leadership track record. What You'll Do * Designing and operating secure CI/CD pipelines with automated testing, SAST/DAST scanning, dependency checks, and secrets detection * Implementing and tuning cloud security tools to monitor posture, runtime, and code security, ensuring continuous compliance and risk reduction * Driving API security best practices and runtime protection across services and microservices * Building and maintaining cloud infrastructure security controls using Terraform, Kubernetes, and container security best practices * Embedding security into development workflows by partnering directly with product and engineering teams * Monitoring vulnerabilities, triaging incidents, and driving rapid response across services and environments * Setting policies and standards that balance speed of delivery with strong security posture Who You Are * Strong problem-solving skills with both strategic and hands-on depth in DevOps or security engineering * Experience with CI/CD tools (GitHub Actions, Jenkins, or similar) and at least one scripting language (Python, Bash, Go, etc.) * Solid understanding of cloud security concepts (IAM, network segmentation, secrets management) across Azure or GCP * Hands-on familiarity with cloud security platforms such as Prisma Cloud and endpoint protection solutions like CrowdStrike for posture, runtime, and code analysis * Experience implementing API security controls and embedding security practices throughout the software development lifecycle * Confidence communicating security priorities with developers, stakeholders, and executives * Background in Computer Science, Security, or equivalent practical experience Benefits at Gap Inc. * Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees. * One of the most competitive Paid Time Off plans in the industry.* * Employees can take up to five "on the clock" hours each month to volunteer at a charity of their choice.* * Extensive 401(k) plan with company matching for contributions up to four percent of an employee's base pay.* * Employee stock purchase plan.* * Medical, dental, vision and life insurance.* * See more of the benefits we offer. * For eligible employees Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity. Salary Range: $146,500 - $190,500 USD Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements.

Applicant Privacy Notice Looking to join a world-class blockchain development team? Ava Labs makes it simple to deploy high-performance solutions for Web3, led by innovations on Avalanche. The company was founded by Cornell computer scientists, who partnered with Wall Street veterans and early Web3 leaders to execute a promising vision for redefining the way people build permissionless networks. Ava Labs is redefining the way people create value with Web3. Join us as we empower people to easily and freely digitize all the world's assets on one open, programmable blockchain platform. We are looking for a Staff Backend Engineer to join our Crypto Custody team. Our team is responsible for designing, developing, and scaling secure, high-performance blockchain and crypto wallet products for Ava Labs and our ecosystem partners. This role is an integral part of our technical leadership group-pioneering cutting-edge solutions, building modular and scalable crypto wallet infrastructures, and ensuring the highest standards of security. WHAT YOU WILL DO Innovate & Architect: Design, develop, and maintain crypto wallet systems using Golang, ensuring robust support for protocols such as multi-party computation (MPC) and multi-signature (multi-sig) configurations Architect modular, scalable backend systems with an unwavering commitment to security and performance Collaborate Across Teams: Work closely with Partners to optimize configurations and setups for Ava Labs products Provide technical guidance across Business Development, Product, Security, Finance, and Engineering teams Drive Product Advancements: Assess opportunities and recommend solutions tailored to client needs Establish architectures and systems that ensure mass adoption of Ava Labs products while maintaining top-tier security Exhibit Extreme Ownership: Demonstrate an independent, driven mindset that thrives on taking initiative without being micromanaged Take full responsibility for delivering high-quality, secure backend solutions while continuously embracing challenges, learning, and pushing boundaries to drive product excellence WHAT YOU WILL BRING Technical Expertise: 5+ years of hands-on engineering experience with a strong focus on backend systems Proven track record in building crypto wallets or blockchain-related products Deep understanding of both UTXO and Account models, state management, and consensus mechanisms Extensive experience in secure coding practices with a very strong understanding of security principles as they apply to blockchain and crypto wallet systems Familiarity with competitive technologies and cloud service setups Leadership & Independence: A self-driven, independent mindset with extreme ownership over your work and outcomes Thrive in an environment where you are empowered to take initiative and work autonomously without being micromanaged Excellent problem-solving skills and a proactive approach to overcoming technical challenges Customer Focus: A user-centric approach to designing and launching high-quality products that fuel the growth of the crypto economy Proven ability to empathize with customer challenges and translate those insights into actionable development priorities NICE TO HAVE 3+ years of solutions architecture experience Experience with Golang and JavaScript is a plus Experience with multi-party computation (MPC) protocols Hands-on experience with advanced security testing tools and methodologies Expertise in infrastructure engineering, including Kubernetes, CI/CD pipelines, and cloud platforms such as AWS, GCP, or Azure Prior senior-level engineering experience in a blockchain or crypto organization Salary Range: $185,000 - $219,000 ( **This is not a guarantee of compensation or salary, a final offer amount may vary based on factors including but not limited to experience and geographic location. NYC metro candidates are required to be in office 2-3x/week (with exceptions)). #LI-Remote #LI-DS1 WHY AVA LABS? If you've ever thought about joining an early stage Web3 company - this is it! We're a global, world-class team of experts in computer science, economics, finance, marketing, and law with offices in New York City and Miami. We're highly passionate about Web3 and redefining the way people build and use finance and decentralized applications of all kinds. The company received early-stage funding from Andreessen Horowitz, Initialized Capital, and Polychain Capital, with angel investments from Balaji Srinivasan and Naval Ravikant. Join us and be a pioneer in a new technology that will have implications across a range of verticals such as finance, gaming, investing, collectibles, among many others. Ava Labs is committed to diversity in the workplace and we're proud to be an Equal Opportunity Employer. We do not hire on basis of race, color, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by local, state or federal law. All employment is decided on the basis of qualifications, merit, and business need.

Are you a seasoned engineer who thrives on building complex, high-impact applications from scratch? Do you enjoy applying your deep understanding of trading systems to architect resilient, enterprise-grade solutions? Are you excited to collaborate closely with product and design teams in a fast-moving environment where your voice directly shapes the product? If so, we invite you to be a part of our innovative team. As a Staff Software Engineer on Ridgeline's Order Generation team, you'll be at the forefront of developing our Trade Order Management solution-an integral piece of our industry-first cloud platform for investment management. This is an opportunity to influence the design and implementation of a foundational product, working with modern technologies in a collaborative, creative environment. You'll contribute hands-on to product architecture, mentor engineers, and use AI tools like GitHub Copilot and ChatGPT to elevate development velocity, innovation, and code quality. At Ridgeline, how we work matters as much as what we build. Ridgeliners act like owners, choose growth over comfort, and communicate with transparency. We assume positive intent, bias toward action, and bring solutions-not just problems. We celebrate wins, learn from setbacks, and thrive in a resilient, collaborative, high-performing culture. If this excites you, we'd love to meet you. You must be work authorized in the United States without the need for employer sponsorship. The impact you will have: * Design and build robust, scalable components for Ridgeline's Trade Order Management product * Collaborate cross-functionally with product managers, designers, and engineers to deliver elegant, high-impact solutions * Contribute trading domain knowledge and architectural expertise to help shape an innovative platform * Leverage AWS cloud services to build secure, high-performance backend infrastructure * Mentor engineers through code reviews, pair programming, and informal coaching * Establish development best practices and foster a culture of ownership and technical excellence * Use AI tools such as GitHub Copilot and ChatGPT to enhance productivity and innovation * Think creatively, own problems, seek solutions, and communicate clearly along the way * Contribute to a collaborative environment rooted in learning, teaching, and transparency What we look for: * 5+ years of experience in software engineering with a strong track record of designing scalable systems * 3+ years working with buy-side order management systems * Expertise in Java or Kotlin * Strong foundation in computer science principles (degree in CS or related field preferred) * Experience building in AWS environments (Aurora, Lambda, S3 preferred) * Commitment to automated testing and engineering best practices * Ability to balance short-term delivery with long-term architectural vision * Excellent problem-solving and communication skills * Willingness to learn about cutting-edge technologies while cultivating expertise in a business domain/problem space * Serious interest in having fun at work Bonus: * Experience with agile development methodologies * Background in trading, asset management, or financial services software About Ridgeline Ridgeline is the industry cloud platform for investment management. It was founded by visionary tech entrepreneur Dave Duffield (co-founder of both PeopleSoft and Workday) to apply his successful formula of solving operational business challenges with bold innovation and human connectivity to the unique needs of the investment management industry. Ridgeline started with a clean sheet of paper and a deep bench of experts bound by a set of core values and motivated to revolutionize an industry underserved by its current tech offerings. We are building a new, modern platform in the public cloud, purpose-built for the investment management industry and we are prioritizing security, agility, and usability to empower business like never before. With a growing campus in Reno and offices in New York, Lake Tahoe, and the Bay Area, Ridgeline is proud to have built a fast-growing, people-first company that has been recognized by Fast Company as a "Best Workplace for Innovators," by The Software Report as a "Top 100 Software Company," and by Forbes as one of "America's Best Startup Employers." Ridgeline is proud to be a community-minded, discrimination-free equal opportunity workplace. Ridgeline processes the information you submit in connection with your application in accordance with the Ridgeline Applicant Privacy Statement. Please review the Ridgeline Applicant Privacy Statement in full to understand our privacy practices and contact us with any questions. Compensation and Benefits The typical starting salary range for new hires in this role is listed below. In select locations (including, the San Francisco Bay Area, CA, and the New York City Metro Area), an alternate range may apply as specified below. The typical starting salary range for this role is: $174,500-$205,000. The typical starting salary range for this role in the select locations listed above is: $185,000-$220,000. Final compensation amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amount listed above. As an employee at Ridgeline, you'll have many opportunities for advancement in your career and can make a true impact on the product. In addition to the base salary, 100% of Ridgeline employees can participate in our Company Stock Plan subject to the applicable Stock Option Agreement. We also offer rich benefits that reflect the kind of organization we want to be: one in which our employees feel valued and are inspired to bring their best selves to work. These include unlimited vacation, educational and wellness reimbursements, and $0 cost employee insurance plans. Please check out our Careers page for a more comprehensive overview of our perks and benefits. #LI-Hybrid

In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our business, our customers, or our communities. This is a unique opportunity to be the key technical force behind a CEO-visible initiative at the heart of Capital One's long-term risk management strategy. As the senior-most engineer reporting directly to the Senior Director, you will be the lead technical expert for Core Compliance. You will actively participate in and support a fundamental transformation: moving from traditional spot-checking to an "always-on," continuous monitoring ecosystem for our internal processes. You will partner closely with the engineering manager and team responsible for delivery, providing the deep technical guidance to solve their most complex challenges. Furthermore, you will be at the epicenter of our practical application of Generative AI. This team launched Capital One's first production-level GenAI use cases, and has many more in the pipeline. You will not just oversee these rollouts but actively accelerate our adoption, setting the pattern for how we apply these powerful new technologies to solve critical business problems. As a seriously great software engineer, you will contribute by leading from the front, focusing on hands-on technical execution to solve our most complex challenges. You will personally write code, build prototypes, and lead the design for our most critical systems, rotating between leading projects from inception to production and diving into areas of need to get them to the finish line. A core part of your role will be to partner with leadership to drive the technical strategy for our pioneering GenAI work, leading its hands-on implementation. You will use your deep expertise in AWS and our internal infrastructure to relentlessly push us to improve our tooling and delivery speed. In all of this, you will act as a role model and coach, investing deeply in mentoring other engineers and championing our culture. We're looking for a leader with a distinct bias for action and a deep sense of ownership. You are a hands-on technologist who thrives in the trenches and is a pragmatic problem-solver, with a proven ability to translate ambiguous, high-stakes business challenges into concrete, executable technical plans. This technical skill is matched by an obsession with customer and business results, always starting with the user and working backward to deliver measurable impact. Distinguished Engineers are: Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates. They set the architecture and technical strategy for the domain Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Responsibilities: Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: Bachelor's Degree At least 7 years of experience with application architecture and design patterns At least 5 years of experience with architectural patterns (SOA), building APIs, microservices, event streams, and high throughput systems Preferred Qualifications: Master's Degree in Computer Science or a Master's Degree in Software Engineering 10+ years of experience of working with business leaders on the implications of architectural decisions 4+ years building cloud native architectures, architecting enterprise applications on public cloud platforms and cloud ecosystems (AWS, GCP or Azure) 5+ years experience with DevOps or DevSecOps and building CI/CD pipelines using Jenkins, Artifactory, Chef, Ansible, AWS CloudFormation templates, GitHub, and Sonar 12+ years of experience in software engineering, with focus on designing and implementing enterprise-level systems 10+ years of experience with enterprise architecture, software architecture, and design patterns 3+ years of experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Strong proficiency in modern programming languages and data processing frameworks 3+ years of experience with Data strategy, AI and ML Technologies AWS Solution Architect - Professional or Associate 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. Cambridge, MA: $269,100 - $307,200 for Distinguished EngineerMcLean, VA: $269,100 - $307,200 for Distinguished EngineerNew York, NY: $293,600 - $335,100 for Distinguished 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 the 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).

A financial technology company in San Francisco is seeking a Staff Machine Learning Engineer to lead the development of sophisticated AI and ML systems. You will be responsible for designing robust frameworks, implementing new product features, and mentoring team members. The ideal candidate should have over 8 years of experience and expertise in Python and machine learning. The role offers competitive pay and various benefits, including health plans and unlimited PTO. #J-18808-Ljbffr

Join our IT team, advance your career, and seize the opportunity as a Digital Employee Experience Google CES Engineer. We foster a culture of knowledge sharing and actively seek innovative thinkers who aim to shape the future. In this role, you will gain valuable experience into our business operations and have the opportunity to be an integral part of something big!The Google Engineer for Customer Engagement Suite (CES) is a visionary and hands-on technical leader responsible for designing, implementing, and optimizing enterprise-scale solutions using Google's Contact Center as a Service (CCaaS) and Contact Center Artificial Intelligence (CCAI) platforms. This individual will define technical standards, ensure architectural integrity, and guide customers through their digital transformation journeys, leveraging the latest advancements in Google Cloud technologies. Required Education/Experience Master's Degree Information Technology, Computer Science, or Engineering and A minimum of 3 years of IT experience or Bachelor's Degree Information Technology, Computer Science, or Engineering and A minimum of 5 years of IT experience or Associate's Degree Information Technology, Computer Science, or Engineering and A minimum of 7 years of IT experience or High School Diploma/GED and A minimum of 10 years of IT experience Relevant Work Experience Solid understanding of core GCP concepts, including setting up projects, understanding billing, and IAM (Identity & Access Management), with hands-on experience in roles, service accounts, and least-privilege design, required. Familiarity with Infrastructure as Code (IaC) using tools such as Terraform or Deployment Manager to enable scalable and automated deployments, required. Experience with Monitoring and Logging, including configuring dashboards, alerts, and incident response processes to ensure system reliability, required. Proven expertise in implementing Google CCaaS and CCAI platforms, with hands-on experience in configuring, deploying and optimizing these technologies, required. Familiarity with the Google Cloud platform ecosystem, including Compute Engine, Cloud Functions, Pub/Sub, Cloud Storage, and apply cyber security best practices, required. Strong understanding of call routing, IVR, speech recognition, agent assist, analytics, reporting, and omnichannel capabilities, required. Experienced in integrating cloud-based contact center platforms with CRM, ticketing systems, and custom enterprise applications, required. Experienced in designing RESTful APIs and integrating with third-party services using modern architectures (microservices, event-driven design, etc.), required. Practical knowledge of privacy frameworks and implementation of role-based access control, encryption, and data governance, required. Demonstrated ability to lead cross-functional teams on complex technical projects from concept through delivery, required. Ability to explain technical concepts to stakeholders and translate business needs into successful technical outcomes, required. Experience with AI/ML frameworks and natural language processing platforms is preferred. Skills and Abilities Ability to build strong customer relationships Excellent collaboration and team building skills Well organized, detail oriented and flexible to handle multiple assignments Licenses and Certifications Driver's License Required Other: Google Cloud certifications such as Professional Cloud Architect, Professional Collaboration Engineer, or relevant specializations. Preferred Physical Demands Ability to push, pull, and lift up to 40 pounds Sit or stand to use a keyboard, mouse, and computer for the duration of the workday Possess manual dexterity and the ability to use hands for the duration of the workday Ability to stoop, bend, reach, and kneel throughout the workday Ability to read small print and symbols Additional Physical Demands The selected candidate will be assigned a System Emergency Assignment (i.e., an emergency response role) and will be expected to work non-business hours during emergencies, which may include nights, weekends, and holidays. The selected candidate will be assigned a System Emergency Assignment (i.e., an emergency response role) and will be expected to work non-business hours during emergencies, which may include nights, weekends, and holidays. Core Responsibilities Architect, design, and implement contact center solutions that leverage Google CCaaS and CCAI, ensuring they meet enterprise-grade performance, security, and scalability requirements. Collaborate with stakeholders, engineers, and product teams to gather requirements, analyze business processes, and translate them into solid technical solutions. Lead end-to-end deployment and integration of Google CCaaS and CCAI, including conversational AI, virtual agents, agent assist, and speech analytics modules. Act as the Subject Matter Expert to stakeholders, demonstrating thought leadership in CCaaS/CCAI technology and cloud transformation initiatives. Mentor and guide engineering teams, fostering innovation and excellence in solution delivery. Design and oversee integrations with legacy systems, CRM platforms, and third-party applications via APIs and microservices. Monitor system performance, recommend enhancements, and adopt emerging Google Cloud technologies to drive continuous improvement. Ensure solutions align with enterprise governance, compliance, risk management and cyber security frameworks. Provide high-level support for critical incidents, troubleshoot architectural issues, and lead root cause analysis efforts. Must be flexible and able to work off-hours as required to support deployments, resolve issues and respond to corporate emergencies.

Applicant Privacy Notice Looking to join a world-class blockchain development team? Ava Labs makes it simple to deploy high-performance solutions for Web3, led by innovations on Avalanche. The company was founded by Cornell computer scientists, who partnered with Wall Street veterans and early Web3 leaders to execute a promising vision for redefining the way people build permissionless networks. Ava Labs is redefining the way people create value with Web3. Join us as we empower people to easily and freely digitize all the world's assets on one open, programmable blockchain platform. We are looking for a Staff Engineer to join our Platform Engineering Group. This team is responsible for maintaining and advancing the EVM for the Avalanche blockchain and its ecosystem. WHAT YOU WILL DO Maintain and advance Avalanche's EVM-compatible chains. Design and implement paradigm-shifting extensions on top of vanilla EVMs, without breaking ecosystem compatibility. Here are some specific examples of projects you will contribute to: libevm (repo): the EVM as a library; a backwards-compatible fork of geth with injectable configuration directives to minimise merge conflicts. Streaming Asynchronous Execution (spec / talk / repo): decoupled consensus and execution, allowing for always-on, concurrent execution without forced dormancy. WHAT MAKES YOU A GOOD FIT A self-starter with insatiable curiosity, combined with being comfortable diving into someone else's code to understand how it works. You treat the code as the source of truth and are able to discern nuances from there. Meticulous attention to detail and an appreciation for clean, maintainable code. You create software as much for the end user as for the love of the craft. You feel at home in a hacker culture. You believe that creativity is not just limited to the arts. You understand the rules of the system primarily so you can bend them. WHAT YOU WILL BRING Highly proficient in Golang; the language and its primitives are second-nature to you, and you are comfortable mentoring others. Independent Solidity experience; you are comfortable deploying a smart contract to production. Deep knowledge of the life of an EVM transaction, from wallet to opcode. Demonstrable experience with geth internals are a bonus. Salary Range: $253,479 to $269,321 ( **This is not a guarantee of compensation or salary, a final offer amount may vary based on factors including but not limited to experience and geographic location. NYC metro candidates are required to be in office 2-3x/week, with exceptions.) #LI-Remote #LI-DS1 WHY AVA LABS? If you've ever thought about joining an early stage Web3 company - this is it! We're a global, world-class team of experts in computer science, economics, finance, marketing, and law with offices in New York City and Miami. We're highly passionate about Web3 and redefining the way people build and use finance and decentralized applications of all kinds. The company received early-stage funding from Andreessen Horowitz, Initialized Capital, and Polychain Capital, with angel investments from Balaji Srinivasan and Naval Ravikant. Join us and be a pioneer in a new technology that will have implications across a range of verticals such as finance, gaming, investing, collectibles, among many others. Ava Labs is committed to diversity in the workplace and we're proud to be an Equal Opportunity Employer. We do not hire on basis of race, color, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by local, state or federal law. All employment is decided on the basis of qualifications, merit, and business need.