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Office Location: Lower Manhattan, NY - Hybrid About Accrete: Accrete AI is a dynamic and innovative company focused on transforming the future of artificial intelligence. We specialize in creating advanced AI solutions that turn complex data into actionable insights, driving real-world impact for businesses and government organizations. Our team thrives on creativity and collaboration, working together to push the boundaries of AI technology. At the core of our offerings are our AI agents, designed to autonomously analyze data, generate insights, and make intelligent recommendations. These agents help businesses streamline operations, improve decision-making, and also empower government entities to enhance security, intelligence, and operational efficiency Overview: We are seeking a skilled mid-level Machine Learning Engineer to join our team. In this role, you will have the opportunity to work on exciting projects that leverage machine learning techniques to build intelligent applications. You will collaborate with a team of talented engineers, researchers and data scientists, contributing to the development of AI solutions that deliver significant value to our clients. Responsibilities: • Work closely with machine learning researchers to facilitate the productionization of large-scale and cutting-edge artifacts (examples: machine learning models, scripts for fine tuning and testing models, etc.), the duties of which can include scaling up modeling/algorithm code and architecting systems that will be deploying the artifacts, • Work with large datasets to preprocess, clean, and prepare the data for training/inference, • Design, implement and optimize processing pipelines for scalability and efficiency, • Architect systems to facilitate research experimentation and artifact evaluation, • Collaborate with cross-functional teams to understand project requirements and deliver solutions, • Participate in code reviews, testing, and documentation to ensure high-quality deliverables, • Assist in mentoring and guiding early-career engineers, sharing best practices and fostering a culture of continuous learning Accrete values diverse experiences and we encourage applicants to apply even if you don’t meet all of the following criteria. While having all of the qualifications listed below can certainly make you a strong candidate, we acknowledge that great candidates aren’t defined simply by a list of skills. If you think you have other experiences that would make you a good match for this role, please apply! • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Science, Math, or a related field, • 3-5 years of professional experience in machine learning, MLOps or related fields, • Working knowledge of machine learning concepts, algorithms, and techniques, • Expert in software engineering principles and software development methodologies, • Proficiency in Python, • Experience with latest MLOps tools and machine learning frameworks/libraries (e.g., TensorFlow, PyTorch, scikit-learn), • Demonstrated ability to preprocess, analyze, and visualize large datasets, • Experience with cloud platforms (e.g. AWS, GCP, Azure), related compute and storage systems, and with deploying machine learning models, • Knowledge of software development best practices, including version control and agile methodologies, • Experience with containerization and orchestration tools (e.g. Docker, Kubernetes, etc.), • Strong problem-solving skills, attention to detail, and the ability to work both independently and as part of a team, • Experience with deep learning architectures and natural language processing, • Understanding of reinforcement learning and other advanced machine learning techniques, • Experience deploying LLM-based applications Benefits: • Comprehensive, competitive benefits: health, dental, vision, prescription, long- and short-term disability and life insurance, and a 401(k) (Traditional & Roth), • Flexible PTO & all U.S. federal holidays off, • Daily catered lunch and a kitchen stocked with snacks and beverages

Delivering the best Spotify experience possible. To as many people as possible. In as many moments as possible. That’s what the Experience team is all about. We use our deep understanding of consumer expectations to enrich the lives of millions of our users all over the world, bringing the music and audio they love to the devices, apps and platforms they use every day. Know what our users want? Join us and help Spotify give it to them. As a Machine Learning Engineer in our Content Understanding teams, you will help define and build ML deployed at scale in support of a broad range of use cases driving value in media and catalog understanding. Here are some examples of the work you may support: Audio fingerprinting to understand what music is played in podcasts enabling musicians to get royalties, Video and image tagging to understand what is happening in any video on Spotify for moderation and recommendations, Audiobook Author attribution using graph ML approaches for search and recommendations, Categorizing tracks in the catalog to know which are functional content or music tracks leveraged in royalty calculations and in search and recommendations. Our teams are composed of product, machine learning, data and backend engineers, and subject matter experts who average 11 years behind the scenes in the music industry. We are looking for a Machine Learning Engineer to help us define and build Spotify’s capabilities in this area. Our team expands the state of the art in AI-based machine technology, which enables intelligent, efficient, and intuitive ways to search, re-use, explore or process metadata. You will use world-class engineering and machine learning techniques on real-world, internal, and external big data to directly impact the evolution of our music catalog. \n What You'll Do • Build production systems that enrich and improve our listeners’ experience on the platform, • Contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development, • Prototype new approaches and production-ize solutions at scale for our hundreds of millions of active users, • Help drive optimization, testing, and tooling to improve quality, • Perform data analysis to establish baselines and inform product decisions, • Collaborate with a cross functional agile team spanning design, data science, product management, and engineering to build new technologies and features Who You Are • You have professional experience in applied machine learning, • Extensive experience working in a product and data-driven environment (Python, Scala, Java, SQL, or C++, with Python experience required) and cloud platforms (GCP or AWS)., • You have some hands-on experience implementing or prototyping machine learning systems at scale, • You have experience architecting data pipelines and are self-sufficient in getting the data you need to build and evaluate models, using tools like Dataflow, Apache Beam, or Spark., • You care about agile software processes, data-driven development, reliability, and disciplined experimentation, • You have experience and passion for fostering collaborative teams, • Experience with TensorFlow, pyTorch, and/or Google Cloud Platform is a plus, • Experience with building data pipelines and getting the data you need to build and evaluate your models, using tools like Apache Beam / Spark is a plus Where You'll Be • For this role you should be based in New York City (USA). \n$136.88 - $195.54 a year \n The United States base range for this position is $136,878 - $195,540 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.

NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our theme parks and consumer experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through Universal Filmed Entertainment Group and Universal Studio Group, and have world-renowned theme parks and attractions through Universal Destinations & Experiences. NBCUniversal is a subsidiary of Comcast Corporation. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. Comcast NBCUniversal has announced its intent to create a new publicly traded company ('Versant') comprised of most of NBCUniversal's cable television networks, including USA Network, CNBC, MSNBC, Oxygen, E!, SYFY and Golf Channel along with complementary digital assets Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. The well-capitalized company will have significant scale as a pure-play set of assets anchored by leading news, sports and entertainment content. The spin-off is expected to be completed during 2025. We are looking for a Lead Data Scientist to spearhead data science initiative focused on media and cable networks. In this role, you will develop and optimize data-driven engagement and retention models to minimize subscriber churn and accelerate subscription growth. You will collaborate closely with business stakeholders to gather requirements, translate business needs into technical solutions, and clearly communicate insights and recommendations to non-technical leadership. Your work will directly influence marketing, content, and pricing strategies to improve customer retention and lifetime value. Job Duties * Leverage structured and unstructured data from various media and entertainment sources to prepare datasets for advanced analytics and modeling. * Develop and deliver impactful analytical tools and solutions leveraging statistical modeling, machine learning, and data science to uncover business insights and support strategic decision-making. * Design and apply advanced predictive and machine learning models; including clustering (K-means, hierarchical), classification (KNN, Naive Bayes, CART), time series forecasting, logistic regression, and econometric models to optimize pricing strategies, assess price elasticity, segment customers, and enhance revenue across channels. * Leverage generative AI and large language models (LLMs) to develop and implement personalized content and messaging strategies across diverse media channels, enhancing audience engagement and campaign effectiveness * Assess and validate statistical models using appropriate performance metrics to ensure precision and accuracy such as accuracy, sensitivity, specificity, ROC, AUC. * Analyze consumer behavior trends and shifts across various digital touchpoints; perform cross-channel attribution analysis to inform targeted retention strategies. * Monitor and analyze key engagement metrics to assess the performance of subscriber onboarding programs and their impact on long-term retention. * Interpret complex analytical insights and translate them into clear, actionable business strategies that improve business outcomes. * Support scalable deployment of data products by following best practices in CI/CD processes and contribute to agile project management through tools like Jira for sprint planning, tracking, and team coordination. * Collaborate cross-functionally with technical and non-technical stakeholders to gather requirements, define project scope, and lead data science initiatives, demonstrating strong communication, leadership, and team-building skills * Master’s or PhD in data Science, statistics, computer science, or related quantitative field. * 5+ years’ experience in data science roles with demonstrated impact on retention, engagement, or churn reduction. * Advanced skills in Python/R, SQL, and experience with ML libraries (scikit-learn, XGBoost, TensorFlow/PyTorch). * Strong background in building predictive churn models, CLV, causal inference and uplift modeling * Leverage cloud platforms (e.g., AWS, Azure) and big data tools (e.g., Spark, Hive, Databricks), staying current with evolving technologies and Databricks’ architecture for scalable data science workflows. Desired Qualifications * Familiarity with third party data such as comScore, Nielsen, IMDb, Gracenote, or similar platforms to enhance content performance analysis and audience insights is a plus * Experience in content analytics within subscription-based media and direct-to-consumer (DTC) products * Experience building personalization engines or recommendation systems in digital subscription environments. Additional Information: • Travel may be required for this position for company or department meetings., • Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week. Subject to change based on Manager discussion or business need. This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other benefits and perks. Learn more about the benefits offered by NBCUniversal by visiting the ___ of the Careers website. * Salary range: $145,000 - $175,000 (bonus and long-term incentive eligible) As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to ___. Although you'll be hired as an NBCU employee, your employment and the responsibilities associated with this job likely will transition to Versant in the future. By joining at this pivotal time, you'll be a part of this exciting company as it takes shape.

StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we’re here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. About the Opportunity We're seeking an accomplished Staff Machine Learning Infrastructure Engineer to join StubHub's Data Engineering & Analytics team as a high-impact individual contributor focused on machine learning infrastructure and real-time inference systems. You'll architect and build the foundational ML platforms that power recommendation systems, pricing optimization, and personalization across StubHub's product. As a Staff-level IC, you'll operate as a technical force multiplier, setting technical direction for ML infrastructure across the organization. You'll lead through influence rather than management, advocating for long-term technical progress while balancing organizational needs. Your work will span strategic initiatives measured in months and years, focusing on high-leverage technical decisions that enable entire teams to be more effective. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Los Angeles, CA Strategic Need We have increasing needs to scale our machine learning capabilities to power personalized experiences, dynamic pricing, and intelligent recommendations across our platform. Our current ML infrastructure requires modernization to support real-time inference at scale, improve feature engineering workflows, and enable faster model deployment and iteration cycles. Additionally, we need to create the foundational data model along with the corresponding data pipelines, and build shared tooling to ease the process of developing and operating high quality trustworthy data assets. What You'll Do As a Staff Enginner focused on ML Infrastructure, you'll work across four key dimensions: Setting Technical Direction • Architect ML infrastructure strategy that aligns technical approaches across Data Science, ML Engineering, and Platform teams, • Drive consensus on technical vision for feature stores, inference services, and model lifecycle management, • Advocate for long-term technical progress while balancing immediate organizational needs, • Establish architectural patterns that become standards across StubHub's ML ecosystem Core ML Infrastructure & Exploration • Prototype and investigate ambiguous, high-impact ML infrastructure problems, • Build production-grade inference services with sub-100ms latency, intelligent caching, and 99.9% uptime SLAs, • Design model lifecycle management systems including versioning, A/B testing, rollback capabilities, and performance monitoring, • Modernize recommendation systems from legacy SQS-based architecture to scalable, real-time streaming solutions, • Explore innovative solutions outside standard approaches for complex ML infrastructure challenges Technical Leadership & Mentorship • Provide engineering perspective in high-level organizational discussions about ML strategy, • Mentor engineers across the platform, actively sponsoring promising team members, • Inject technical context into critical decision-making processes, • Lead complex technical initiatives spanning multiple teams and quarters Being the "Glue" • Connect different team efforts to ensure ML infrastructure initiatives succeed, • Handle behind-the-scenes work that keeps critical ML projects moving forward, • Expedite high-priority ML infrastructure needs across the organization, • Ensure important strategic work gets completed even when it spans team boundaries What You've Done • 8+ years of relevant software or data engineering development experience in a fast-paced, high growth environment, • 3+ years of experience with machine learning infrastructure, MLOps, or ML platform engineering, • Proven track record of setting technical direction and leading complex, multi-team initiatives, • Strong programming and analytical ability with expertise in Python, Scala, or Java, and infrastructure-as-code, • Experience with feature store services and how they interoperate between batch and live inference systems, • Experience with live inference services including caching, SLAs, and performance optimization for production ML workloads, • Experience with model lifecycle management including versioning, A/B testing, and rollback capabilities, • Experience with streaming systems (Spark, Kafka) and how they relate to overarching ML platform architecture, • Experience with cloud-based ML platforms such as AWS SageMaker, Google Vertex AI, or Azure ML, • Experience mentoring engineers and establishing technical best practices across teams Staff-Level Capabilities • Technical leadership through influence rather than formal management authority, • Strategic thinking with ability to balance long-term technical vision with immediate organizational needs, • Cross-functional collaboration skills to work effectively with Data Science, Product, and Engineering teams, • Communication skills to inject technical context into high-level organizational discussions, • Problem-solving approach for ambiguous, high-impact technical challenges, • Mentorship and sponsorship experience growing junior and mid-level engineers Nice to Have • Experience with real-time recommendation systems and personalization platforms at scale, • Knowledge of ML model serving frameworks (TensorFlow Serving, TorchServe, Seldon, etc.), • Experience with A/B testing frameworks and experimentation platforms, • Experience with distributed computing frameworks (Ray, Dask, etc.), • Knowledge of ML security and privacy considerations, • Track record of technical writing or speaking at conferences about ML infrastructure What We Offer: • Accelerated Growth Environment: Immerse yourself in an environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Enjoy a rewarding compensation package that includes enticing stock incentives, aligning with our commitment to recognizing and valuing your contributions., • Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed., • Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options. The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate’s qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub’s total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Salary Range$300,000—$350,000 USD About Us StubHub is the world’s leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. For California Residents: California Job Applicant Privacy Notice found ___For California Residents: California Job Applicant Privacy Notice found We are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.

Position Overview As a Site Reliability Engineer (SRE), you will play a critical role supporting our Blockdaemon team by ensuring the reliability, scalability, and performance of our systems and services. You will collaborate closely with cross-functional teams to design, implement, and maintain robust and resilient infrastructure solutions in a Multi-Cloud environment. The ideal candidate is passionate about automation, possesses strong analytical skills, and thrives in a fast-paced, dynamic environment. Blockdaemon is a Blockchain Infrastructure Company operating in a multi-cloud configuration with a global footprint. The expectation for this role is a candidate capable of supporting systems & infrastructure stack across the major clouds, Google Cloud Platform (GCP) and Amazon Web Services (AWS), Azure. Your Impact * System Architecture and Design: Collaborate with software engineering teams to design scalable, highly available, and resilient systems. Drive architectural improvements to enhance system reliability and performance. * Implement Infrastructure as Code to manage services and deployments in a multi-cloud, multi-project configuration. * Automation and Tooling: Develop automation tools and scripts to streamline deployment, monitoring, and incident response processes. Implement and maintain infrastructure as code frameworks. * Monitoring and Alerting: Configure and maintain monitoring systems to detect and mitigate potential issues proactively. Define alerting thresholds and response procedures to ensure timely incident resolution. * Incident Management: Respond to and resolve critical incidents, perform root cause analysis, and implement preventive measures to minimize the likelihood of recurrence. Participate in an on-call rotation to provide 24/7 support as needed. * Capacity Planning and Performance Optimization: Analyze system performance metrics, identify bottlenecks, and propose optimizations to improve resource utilization and efficiency. * Security and Compliance: Work closely with security teams to implement best practices for data protection, access control, and compliance with regulatory requirements. Conduct periodic security audits and vulnerability assessments. * Documentation and Knowledge Sharing: Document system configurations, procedures, and troubleshooting steps. Share knowledge and best practices with team members to foster a culture of continuous learning and improvement. Role Requirements * Proven experience in an independent contributor role working with cloud platforms: GCP, AWS, Azure, Infrastructure-as-Code tooling: Terraform, Helm, and CI/CD orchestration platforms: GitlabCI, ArgoCD, Github Actions or similar GitOps workflows. * Excellent problem-solving skills and the ability to independently troubleshoot complex issues. * Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams. * Strong Architectural & Security Mindset. * Strong understanding of Linux/Unix systems administration and networking concepts. * Hands-on experience with configuring and running monitoring tools like Prometheus, Grafana, etc. * 5+ years experience of maintaining infrastructure-as-code on Google Cloud Platform, Amazon Web Services and Azure. * Experience working in SOC 2 Type 1 and Type 2 certified companies. * Proficiency in scripting and programming languages such as BASH, Golang, Python and TypeScript. * 2+ years hands-on experience operating highly available Kubernetes clusters. * Experience being involved in incident management and resolution. * Experience with AI development tools and related security considerations. * Passion for the Blockchain Industry & Decentralised Systems. * Experience with Blockchain Infrastructure, either in a personal or professional capacity. About Us: We Power the Blockchain economy. Blockdaemon powers the blockchain economy with its suite of industry-leading infrastructure solutions. We are a globally established, ISO-27001 certified partner with extensive protocol coverage, offering technical depth, industry-leading SLAs, 70+ global points of presence through 10+ cloud and bare metal providers, and 24/7 support for an unmatched institutional-grade experience. We provide integrated business solutions to exchanges, custodians, crypto platforms, financial institutions, and developers using our end-to-end suite of blockchain tools, including dedicated nodes, APIs, staking, liquid staking, MPC tech, and more. Blockdaemon provides its customers with the confidence to quickly and easily scale without compromising security or compliance. We are a globally distributed team. Blockdaemon is an Equal Opportunity Employer.

___ is the AI Site Reliability Engineer (SRE) for the enterprise—already trusted by some of the largest companies in the world to troubleshoot, remediate, and even prevent the most complex production incidents. Our mission is to free engineers from endless firefighting and enable them to focus on creative, high-impact work. Our roots remain deeply embedded in AI research, and we’re channeling that scientific rigor and creativity into building the premier AI agent lab for the enterprise. Hence, what we’re proudest of is assembling the most talented yet nicest group of individuals, including researchers from MIT, Harvard, and Berkeley, to world-class engineers from industry: Citadel Securities, Cockroach Labs, Cerebras Systems, Glean, Nuro, Perplexity, Pinecone, and more, to take on one of the hardest problems for AI to solve. Without the entire team, none of this would be possible. As an AI Site Reliability Researcher, you’ll play a central role in ensuring the scalability, reliability, and observability of our AI platform. This is a high-impact, cross-functional role where you’ll design systems and processes that keep our AI-driven infrastructure healthy and performant. We’re entering a phase of rapid growth and scale, driven by the needs of large enterprise customers. That means pressure on everything from deployments to developer workflows. We’re building our own distributed systems, maturing our CI/CD pipelines, and managing complex hybrid environments (SaaS and on-prem). You’ll play a foundational role in establishing the SRE practices that allow us to scale thoughtfully and reliably. In this role, you’ll define how we do change management across diverse deployment environments, build internal observability from the ground up, and help bring structure to systems that are evolving quickly. You’ll also be a hands-on user of Traversal — your feedback will shape the product directly. And while your focus will be reliability, you’ll collaborate closely with our infra and AI agent teams, with opportunities to influence how AI integrates with real-world production environments. • Brains Of The Product: Distilling SRE Knowledge into Agentic workflows., • System Design & Architecture: Build scalable and resilient infrastructure to support AI observability agents in both cloud and on-prem environments., • Observability: Built systems to monitor logs, metrics, and traces tied to deployments and developer activity. Power user of observability tools., • Incident Management: Define and lead our on-call and incident response processes, including alerting, debugging, and postmortems., • CI/CD & Deployment: Design and scale our in-house CI/CD systems to support safe, efficient rollouts across hybrid environments., • Infrastructure Automation: Own our infrastructure-as-code stack and improve automation across deployment and provisioning workflows., • Experience as an SRE, infrastructure engineer or similar role in fast-paced environments., • Exceptional debugging skills across complex, distributed systems — proven ability to get to root cause quickly across varied tech stacks., • Strong systems design intuition — understands how observability tools fit into architecture and how to leverage them effectively in incident response., • Experience with observability tools (e.g., Datadog, Grafana, Prometheus, OpenTelemetry) and incident response., • Deep understanding of infrastructure automation and CI/CD systems., • Hands-on experience with Terraform, Kubernetes, and cloud environments (AWS or GCP)., • Ability to debug distributed systems and drive system-level improvements., • Experience supporting hybrid cloud/on-prem deployments and complex change management., • Familiarity with AI infrastructure or supporting ML/LLM workloads in production., • Background in developer productivity tooling or internal platform teams., • Prior experience building systems that connect infra events to developer workflows., • Exposure to agentic systems or AI observability platforms. We offer competitive compensation, startup equity, health insurance, and additional benefits. The U.S. base salary range for this full-time, in-person role in New York is $150,000–$300,000, plus equity and benefits. Our salary ranges are based on location, level, and role. Individual compensation is determined by experience, skills, and job-related knowledge. We’ll make sure you’re fully supported with health insurance, a great tech setup, flexible time off, and plenty of in-office snacks. We offer competitive salary and equity packages, and take thoughtful consideration with every hire on our small, high-impact team. Traversal is fully in-office, 5 days a week, based in New York near Madison Square Park. We have a collaborative, hard-working culture and are energized by building the future of AI-powered software maintenance. Working here means owning meaningful parts of the product, having the flexibility to move fast, and learning constantly. This is a place to grow your career, make a real impact, and help define a new category of infrastructure software.

Who We Are Perchwell is the modern real estate listings platform built for agents to search smarter, collaborate better, and close deals faster. We are building the future of residential real estateʼs critical listings infrastructure: a platform where market research and client collaboration converge. Our modern architecture enables continuous innovation at a pace legacy systems cannot match, with AI-powered features and mobile-first capabilities designed for how agents actually work. As consumer expectations and technology evolve, Perchwell remains focused on our core vision: empowering real estate professionals with the most intelligent, data-driven, and connected platform in the industry. Backed by leading venture capital firms including Lux Capital and Founders Fund, along with strategic partnerships with some of the country's top Multiple Listing Services (MLSs), Perchwell represents the first major new platform to enter the listings technology market in decades. This unique combination of institutional investment and deep industry alignment provides both the resources and market validation needed to transform the multi-trillion dollar residential real estate industry. As a Senior SRE, you will help own and improve the technical foundations of Perchwell while exemplifying engineering rigor and excellence across our engineering culture and strategy. You will be helping execute large strategic technical initiatives within the SRE domain. You have deep experience in building and operating infrastructure for large production systems. You’ve owned or have highly opinionated views on what good observability is and help other teams see the light. You are rigorous and meticulous in your work and hold others to the same high engineering standards. You believe the best way to help others is to provide them the tools they need to get their job done in a safe and efficient manner and have a demonstrated history of success enabling product teams to quickly innovate and iterate. You will work closely with the VP of Engineering and other senior leaders to tackle and remediate our current problem set while also building net new capabilities. You will build important relationships and partner deeply with our product and QA organizations. The SRE team is responsible for building the ability to innovate faster in a safe and reliable way. Reliability, resiliency and adaptability are our north stars. This role has an on-call requirement. We believe that in an ever-changing, innovative environment, we do our best work when we are working as a team in-person. In this role, you’ll work out of our New York City HQ in Soho Manhattan at least 3 days/week. * Design and build scalable processes and solutions to fundamental engineering challenges * Design and manage scalable, secure AWS infrastructure * Partner with the Quality Team to own the CI/CD processes and enable fast, safe and frequent deployments * Contribute to and evolve our Kubernetes infrastructure and strategy * Build and manage safe self-service methods for our teams to manage their infra via Terraform and other automation tools * Be a champion of observability ( o11y ) by owning our o11y systems and establishing and enforcing best practices throughout the engineering organization around performance and service monitoring * Participate in and help improve our incident management and disaster recovery processes * Partner with FinOps and feature teams to manage infrastructure spending by identifying and optimizing costs saving strategies * BS or MS in Computer Science, related technical field, or equivalent experience * Distributed systems experience * Deep experience with AWS cloud services such as: EC2, RDS, EKS, CloudFront, ECR, S3, IAM, CodeBuild, Lambda, and Route53 * In-depth knowledge of Kubernetes, including experience with deploying, managing, scaling, and orchestrating clusters and automating/exposing this to other teams * You’ve built tools and or enabled automation for your team or others * You’ve used at least one programming language ( ex: python, golang, rust ) to solve problems and close feature gaps of your tools * Demonstrated pattern of systems thinking leading to organizational impact and strategic problem solving * The ability to go deep across service, database and infrastructure boundaries for design and performance related work * 5+ years of experience in a dedicated SRE role * AWS Well Architected Framework experience * Experience with Event Driven System designs and the required messaging technologies and patterns ( kafka, nats, aeron ) * Experience with security frameworks and tools for hardening environments and systems * Experience with different types of databases and their architectures * Experience with the Ruby on Rails ecosystem, and understanding of Rails-specific quirks * Experience with the management and scaling of Elasticsearch Salary Information To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. Our ranges are based on function and level benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including skills, job-related knowledge and depth of work experience. The base compensation range for this position is expected to be between $170,000-$230,000/year + equity + benefits. Note: At this time, we are only considering candidates who are authorized to work in the U.S.

Company And Culture Created in 2002 by Marc Eckō, Complex is a leading global youth entertainment network showcasing the evolution of major pop culture categories, including streetwear and style, music, sneakers, and sports. Complex is a juggernaut in the content and culture space, delivering unprecedented global reach. Complex is the world’s definitive cultural commerce, content, and experiential platform. We have created an all-new operating system built for the next generation, seamlessly integrating discovery, inspiration, community, and shopping. The company represents an expansion of the original vision with a deep understanding of convergence culture and its impact on contemporary society. Whether through video, long-form editorial, or social content, Complex tells stories that engage dynamic conversation with our communities. Our internet-breaking cover stories document the heroes of culture and take them to the next level through product collaboration and ___hoppability. Complex has become experts in creating immersive environments at our IRL experiences and cultural events. ComplexCon is our flagship festival bringing together the world’s most influential brands and artists for an unforgettable weekend of style, sneakers, art, design, food, music, inspiration and more. Join us to help redefine the way people shop, while building a global marketplace that moves at the speed of culture. Complex is committed to building a high performing team that is passionate about what they do and the communities we serve. Everyone at Complex truly believes in the company and its mission; it’s a requirement for working here. There is synergy within the teams that make Complex what it is, a well-oiled machine. Employees are at the forefront of the company's success because every one of us is given the opportunity to provide suggestions, feedback, and direction. About the Role We're seeking a Senior DevOps Engineer to join our team who will be responsible for service delivery, reliability, and scalability. This is a hands-on technical role focused on infrastructure-as-code implementation, automation, and ensuring system reliability. You'll work in a fast-paced environment, participating in on-call rotations while having the opportunity to mentor junior engineers and shape our technical infrastructure. \n What You Will Do • Design and maintain cloud infrastructure using Terraform, AWS Cloud, • Formation, and Helm Charts while implementing security best practices including SAST and DAST, • Develop and optimize CI/CD pipelines to enhance application security and streamline release processes, • Build and maintain comprehensive monitoring and observability systems using tools like Grafana and DataDog to ensure high system availability, • Lead infrastructure automation and configuration management initiatives while collaborating with Product Management on technical requirements and scalability, • Architect and maintain production environments, focusing on microservices architecture and container orchestration, • Provide technical mentorship and guidance to junior team members while participating in cross-functional initiatives, • Participate in on-call rotations to maintain system reliability, • Work on system architecture, design, and infrastructure automation through IaC Who You Are (Required): • A seasoned professional with 5+ years of experience in SRE, DevOps, or equivalent engineering roles, • An expert in cloud platforms (AWS, GCP, Azure) with deep knowledge of Infrastructure-as-Code tools (Terraform, Helm, AWS CloudFormation), • Strong experience with Kubernetes and container orchestration, • Deep knowledge of microservices architecture and Linux systems, • A skilled programmer comfortable with Python, Go, or Bash, particularly in implementing automation and tooling, • A strong communicator who can work effectively in ambiguous environments and collaborate across teams, • Someone who maintains a strong focus on security and stability Who You Are (Preferred): • Experience building complex systems supporting 100,000+ users, • Prior experience with e-commerce systems and Shopify, • Background in team leadership or mentorship, • Experience with all stages of SDLC, • Experience working in fast-paced startup environments What We Offer • Best in class health, dental, and vision insurance, • Healthcare FSA, • Dependent Care FSA, • Commuter Benefits FSA, • Short-term/long-term disability and life insurance, • Paid Parental leave, • 401k with 4% match, • Pet Insurance, • Legal and Identity Theft Plans, • Vacation time and sick days \n$140,000 - $160,000 a yearThe Pay Range, which consists of salary and commission, for this position is listed. Actual pay will vary based on factors including, but not limited to location, experience, and performance. The range listed is just one component of Complex Total Rewards offerings for employees.\n We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. The above statements cover what are generally believed to be principal and essential functions of the job. Specific circumstances may allow or require some incumbents assigned to the job to perform a different combination of duties. Complex participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

About us: ___ is one of the largest crypto companies in the world. We have over $10B in assets under management and a team of 30 almost all technical staff. We’ve been profitable day one and are focusing on building real consumer applications. The future we envisage is true on-chain banking. Our current products; Stake, Liquid, and Cash enable users to earn yield in a variety of DeFi strategies, and spend their assets in the real world with our credit cards. You can view public analytics on Dune for ___ and ___. Position overview: We’re looking for a senior devops engineer to own cloud infrastructure, devops and security with support from our security partners. This is high ownership role that should enable our engineering team to ship safely and at scale. This is an in-person role. What you’ll do: * Set up and drive improvement in our CI/CD pipelines and automation tooling * Use Terraform to provision cloud infrastructure on AWS * Ensure high observability across our entire stack * Ensure our credit card transaction processing service is highly available and low latency * Collaborate closely with internal teams to improve security processes What we are looking for: * 5+ years professional experience working with cloud infrastructure * 5+ years of experience building and maintaining server-side applications * Hands on experience with Terraform, AWS, monitoring tools, Docker * Strong problem-solving skills and weakly held strong opinions on best practice * Enthusiasm for joining a fast-paced, dynamic and collaborative environment * Security-conscious approach to all devops and infrastructure work * Plus if you are experienced in web3 Perks and benefits: * Competitive salary, performance-based incentives, and token allocation grant * Opportunity to work on multi-billion dollar products as part of a small team * Health, dental, and vision insurance plans * Global team with opportunity for travel and working out of our 3 offices around the world * 4 weeks work from anywhere * Exciting company events and team-building off-sites

NOTE: This position requires a US citizen or Green Card holder. The Enterprise Application & Architecture Operational Support Project aims to modernize and transform the DOE’s technology systems to better support its mission of delivering equity and excellence in education. The project’s primary purpose is to improve the efficiency, scalability, security, and sustainability of DOE’s enterprise applications and supporting architecture. By doing so, it ensures that technology can effectively meet the evolving needs of DOE’s vast network of schools, educators, students, and families. RESPONSIBILITIES • Responsible for building and maintaining the infrastructure, automation, and tools needed for streamlined development, testing, deployment, and monitoring., • The DevOps Engineer collaborates closely with development teams to ensure that software can be deployed reliably and quickly while maintaining high availability and performance standards. KEY REQUIREMENTS • 5+ years of proven experience in implementing and managing DevOps practices, tools, and automation processes, with a strong focus on continuous integration/continuous deployment (CI/CD), infrastructure as code (IaC), and cloud services., • Strong knowledge of cloud platforms like AWS, Azure, or Google Cloud, and experience in managing cloud-based infrastructure for scalability, performance, and security., • Proficiency in automation tools and scripting languages such as Jenkins, Terraform, Docker, Kubernetes, Ansible, and Python, to automate workflows, infrastructure provisioning, and deployment pipelines., • Proven ability to collaborate across cross-functional teams, including developers, QA engineers, and operations, to ensure smooth integration and delivery of software releases., • Experience in setting up and managing monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, ELK Stack) to ensure high application performance and proactive issue resolution., • Knowledge of security best practices for cloud-based applications, ensuring that DevOps pipelines comply with security policies, standards, and regulatory requirements., • Expertise in diagnosing and resolving deployment issues, system bottlenecks, and scaling challenges in production environments.

The user interface for AGI – Hebbia is AI that works the way you work. Designed to be generally capable– it can tackle even the most complex tasks, citing answers over any amount of sources. By showing its work, Hebbia empowers users to collaborate with AI on each step and validate responses instead of blindly trusting them. Our mission is to put capable AI in the hands of 1 billion people by 2030. As a highly skilled Site Reliability Engineer (SRE), you will contribute to building systems that optimize the uptime and reliability of our platform, and support the management and optimization of our DevOps and infrastructure operations. You will be responsible for owning our deployment pipelines, building and maintaining our continuous integration and continuous deployment (CI/CD) systems, ensuring the reliability and performance of our services, enhancing our observability, supporting our local development environments, and bolstering our security posture. Your technical expertise and problem-solving skills will contribute to the success of our AI products and shape the future of our technology stack. Our team works in person 5 days a week at our SoHo office in NYC. • Assist in managing deployment pipelines to facilitate smooth and efficient software releases., • Help implement and maintain observability solutions for monitoring system performance and reliability., • Support local development environments to optimize developer workflows., • Work with development teams to ensure infrastructure aligns with project requirements., • Contribute to improving the security of our infrastructure by assisting with proactive measures and audits., • Assist in developing and maintaining automation scripts and tools to enhance operational efficiency., • Help troubleshoot and resolve infrastructure and application issues to minimize downtime and maintain smooth operations., • Participate in evaluating and integrating new technologies to enhance the scalability, reliability, and security of our infrastructure., • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience., • 4+ years software development experience at a venture-backed startup or top technology firm., • Proven experience as a Site Reliability Engineer, DevOps Engineer, or similar role., • Strong expertise in managing CI/CD pipelines and deployment automation., • Proficiency in cloud platforms such as AWS, Azure, or Google Cloud (we are an AWS shop)., • Solid understanding of containerization and orchestration technologies such as Docker and Kubernetes., • Experience with monitoring and observability tools such as Datadog, Prometheus, Grafana, or similar., • Knowledge of infrastructure-as-code (IaC) tools such as Terraform or CloudFormation., • Familiarity with security best practices and tools for infrastructure and application security., • Excellent problem-solving skills and the ability to troubleshoot complex issues., • Strong communication skills and the ability to work effectively in a collaborative environment., • A proactive and self-motivated approach to learning and adopting new technologies., • Passion for continuous improvement and operational excellence. Compensation In consideration of market analysis and relevant factors, the salary range for this position is set between $160,000 and $215,000. However, adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description. Additionally, this role is eligible to participate in our equity plan and benefits program. Benefits include, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, daily catered lunch, and unlimited PTO. #LI-Onsite

About Norm Ai Norm Ai is the Compliance AI Platform for legal standards-based reasoning & workflow automation. We developed the first Domain Specific Language (DSL) for fully representing regulatory requirements in AI code. This DSL, deployed with our enterprise platform, enables Norm clients to transform workflows and apply compliance checks at the source of business activities. We are setting the norms for compliance processes at the largest institutions in the world. Our client base includes firms with a combined $17 Trillion in assets under management, and growing quickly. Our Software Engineers came from Palantir, Google, Meta, AWS, Harvard, Stanford, and MIT. Our Legal Engineers are from Harvard Law, Stanford Law, Yale Law, Sullivan & Cromwell, Simpson Thacher, Davis Polk, Greenberg Traurig, the SEC, and FINRA. We have raised $85 million over the past 18 months from top VCs and global institutions, including Vanguard, Blackstone, Bain Capital, Coatue, Craft Ventures, New York Life, Citi, TIAA, and Marc Benioff. This Role As a Cloud Infrastructure Engineer at Norm Ai, you will architect and build a reliable, scalable, and performant infrastructure for our rapidly evolving AI-driven compliance platform. You will drive key infrastructure initiatives including advancing our Infrastructure as Code practices, implementing our multi-cloud strategy, and enabling diverse enterprise deployment scenarios. You will work closely with our software engineering and product teams to deliver enterprise grade software solutions to the world's largest regulated institutions. You will contribute to strategic discussions around our infrastructure, bringing insights and recommendations to drive our technology decisions and product evolution. This role will bring dedicated expertise in Azure to support our ongoing buildout and expansion into Microsoft’s cloud ecosystem, complementing our existing AWS and GCP cloud infrastructure. In this role, you will: * Lead the design and implementation of our multi-cloud strategy across AWS, GCP, and Azure with cloud-agnostic Infrastructure as Code * Support Azure infrastructure buildout efforts in collaboration with the broader infrastructure team, including networking, identity, and resource architecture * Architect flexible deployment patterns to support on-premises, hybrid, and air-gapped customer environments * Drive Infrastructure as Code best practices and governance across the engineering organization * Implement fault-tolerant and resilient design patterns to minimize service disruptions * Build and maintain automation tools and CI/CD pipelines to streamline processes and improve reliability * Create systems to support a growing set of enterprise requirements on our platform, including robust permissioning, authentication, logging, and auditability * Implement monitoring systems to proactively identify issues and anomalies in production * Work closely with customer engineering teams to enable rapid adoption of Norm Ai solutions Skills & Experience - Core * 6+ years of hands-on infrastructure engineering experience at technology companies, with significant time spent on complex, large-scale systems * Deep expertise in Infrastructure as Code with Terraform, including advanced patterns like modules, workspaces, and state management across multiple cloud providers * Proven experience architecting and implementing multi-cloud strategies with practical knowledge of cross-cloud networking and identity federation * Experience designing infrastructure for diverse deployment scenarios including air-gapped, on-premises, and hybrid environments * Strong foundation in computer science fundamentals - we're looking for engineers who understand systems at a deep level, not just cloud services * Comfort navigating enterprise requirements and API integrations * Proficiency in Python and experience with complex data storage architectures beyond basic CRUD operations * Experience designing and maintaining CI/CD pipelines using tools like Github Actions Skills & Experience - Pluses * Experience in AI/ML infrastructure and tooling * Experience building infrastructure for highly regulated industries with complex deployment requirements * Background in distributed systems architecture and cross-region/cross-cloud data replication * Experience with configuration management tools (Ansible, Salt) for hybrid deployment scenarios * Familiarity with serverless architectures * Experience with enterprise security and compliance standards such as SAML, SSO, SEC Rule 17a-4, etc. * Microsoft Certified: Azure Solutions Architect Expert What Success Looks Like * Norm Ai Integration: Rapidly familiarize yourself with Norm Ai's existing infrastructure, architecture, and the unique challenges of our AI-driven compliance solutions * Multi-Cloud Infrastructure Validation: Conduct comprehensive testing and validation of our multi-cloud deployment capabilities, ensuring feature parity across providers and identifying application-level changes needed for cloud-agnostic operations * Cross-Provider Compatibility: Resolve platform-specific dependencies and implement abstraction layers to enable seamless operation across different cloud environments * Cross-Account Infrastructure & Data Controls: Design and implement infrastructure patterns that enable secure cross-account connectivity and flexible data control models, supporting customer requirements for data residency and account separation * Flexible Deployment Models: Deliver solutions for diverse customer deployment scenarios including customer account deployments and hybrid infrastructure configurations * Multi-Cloud CI/CD: Establish deployment pipelines that support consistent, reliable deployments across multiple cloud providers and customer infrastructure models * Strategic Infrastructure Roadmap: Develop a comprehensive plan for scaling our infrastructure capabilities to meet growing enterprise requirements and deployment complexity Comp & Benefits $175,000-$250,000 a year plus equity The range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills (as uncovered during the interview process), experience, and relevant education or training. Please note that the compensation details listed here reflect the base salary only, and do not include equity or benefits. We offer a competitive salary along with equity compensation. Our comprehensive benefits package includes a 401(k) plan with an employer match. Employees enjoy top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans. For candidates needing to relocate to NYC, we provide relocation reimbursement. You'll thrive in our fast-paced learning environment where professional growth is constant. We embrace a flexible hybrid model, typically in-office 3–4 days per week. If you’re interested in the role but aren’t sure whether you’re a good fit, we’d still like to hear from you.

Credit Genie is a mobile-first financial wellness platform designed to help individuals take control of their financial future. We leverage artificial intelligence to provide personalized insights and are building a financial ecosystem by offering tools and services that provide instant access to cash, and building credit. Our goal is to empower every customer to achieve long-term financial stability. Founded in 2019 by ). Backed by Khosla Ventures and led by industry pioneers from companies such as; PayPal, Square, and Cash App, we are well positioned to build the future of inclusive finance through cutting-edge technology and customer-centric solutions. As a Staff Machine Learning Engineer, you will be responsible for building and maintaining our Machine Learning (ML) and Artificial Intelligence (AI) infrastructure, and to help our team build, deploy, and monitor ML and AI models and services. Additionally, you will provide hands-on technical leadership and mentorship for a growing team of AI/ML Engineers. The successful candidate will have a strong background in ML, and significant prior experience in delivering end-to-end Software Development projects. This role is expected to collaborate very closely with our AI/ML team as well as with Credit Genie’s Engineering, Data Engineering, and Product teams. * Responsible for building the Engineering foundation for the Data Science and ML/AI team, and for setting the company’s ML/AI Engineering roadmap in collaboration with our leadership team. * Collaborate hands-on with Data Scientists and ML/AI Engineers to deliver production-grade ML/AI systems that support critical areas of our business (e.g., Risk and customer-facing in-app experiences). * Collaborate with leads from Engineering, Data Engineering, and Product to expand the existing technological stack of the company and support ML/AI-specific requirements. * Responsible for setting and maintaining the highest ML Engineering standards in the Data Science and ML/AI team. * Have fun working on hard and highly impactful problems. * 8+ years of Backend Software Development experience and demonstrated prior experience working with ML/AI teams in a technical leadership capacity. * Strong foundation in Software Development and prior experience leading impactful ML software projects. * Strong foundation and demonstrated prior experience with Version Control, Infrastructure as Code, Testing, CI/CD, Monitoring and Observability. * Demonstrated ability to deliver end-to-end production-grade ML solutions (e.g., experience with databases and data warehouses, streaming vs. batch data ingestion, feature engineering and versioning of features, Jupyter Notebooks and similar ML development environments, building and testing prediction services, versioning model artifacts, …). * Significant prior experience with ML-specific technologies such as Feature Stores/Feature Platforms and Model Registries, and demonstrated knowledge of ML-specific architectural patterns and tradeoffs (real-time vs. batch prediction, batch features vs. streaming features). * Proficiency in multiple programming languages beyond Python (e.g., TypeScript, Rust, Go). * Experience with the AWS cloud. * Experience with Snowflake. * Experience with ML/AI tools and frameworks (scikit-learn, PyTorch, Tensorflow, LangGraph/CrewAI/PydanticAI). Our goal is to provide a comprehensive offering of benefits and perks that promote better financial, mental, and physical wellness. We believe working alongside each other in person is the best way to build a great product and foster a strong company culture. Our expectation is that employees are in the office five days a week, allowing for optimal collaboration, inclusivity, and productivity. At the same time, we understand that life happens and recognize the importance of flexibility. We are committed to supporting our employees when circumstances arise that require remote work or adjusted schedules. Our goal is to ensure everyone can effectively balance personal and professional responsibilities while maintaining our collaborative and productive environment. Here are some highlights of our benefits and perks offerings, feel free to ask your recruiting partner for more details on our comprehensive offering for employees. * 100% company-paid medical, dental, and vision coverage for you and your dependents on your first day of employment. * Monthly fitness reimbursement up to $100 or a full membership to LifeTime Fitness * 401(k) with a 2.5% match and immediate vesting * Meal program for breakfast, lunch, and dinner * Life and accidental insurance * Flexible PTO Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of your total compensation and rewards package at Credit Genie. You may also be eligible to participate in the bonus and equity programs. You will also have access to comprehensive medical, vision, and dental coverage, a 401(k) retirement plan with company match, short & long term disability insurance, life insurance, and flexible PTO along with many other benefits and perks. Credit Genie is a proud Equal Opportunity Employer where we welcome and celebrate differences. We are committed to providing a workspace that is safe and inclusive, where everyone feels supported, connected, and inspired to do their best work. If you require any accommodations to participate in our recruitment process, please inform us of your needs when we contact you to schedule an interview.

About the Role At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast. That’s where you come in. As an AI/ML Engineer, you’ll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma. • Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities, • Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more, • Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features, • Tackle novel UX problems at the intersection of AI, BI, and apps, • 10+ years of experience building and deploying production-grade AI/ML systems, • Deep knowledge of machine learning, deep learning, and applied AI, • Experience across the full ML lifecycle: data curation, training, deployment, monitoring, • A track record of building things that ship—whether it’s recommendations, search, machine translation, or something equally complex, • Experience adapting or training foundation models (language or multimodal) for novel domains, • You've built agents that can plan, reason, and use tools, • You know your way around cloud infrastructure (AWS, GCP, Azure), • You’ve worked in a fast-moving startup or high-growth environment Additional Job details The base salary range for this position is $240k - $270k annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package. About us: Sigma is the only cloud analytics and business intelligence tool empowering business teams to break free from the confines of the dashboard, explore data for themselves, and make better, faster decisions. The award-winning software was built to capitalize on the performance power of cloud data warehouses to combine data sources and analyze billions of rows of data instantly via an intuitive, spreadsheet-like interface – no coding required. Since launching with its unique interface, Sigma Computing has added features such as collaboration tools and embedded analytics capabilities. The most recent product launch included a set of AI tools such as forecasting capabilities, an AI copilot and a notebook interface for users who prefer a code-first environment. Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth. Come join us! Benefits For Our Full-Time Employees: • Equity, • Generous health benefits, • Flexible time off policy. Take the time off you need!, • Paid bonding time for all new parents, • Traditional and Roth 401k, • Commuter and FSA benefits, • Lunch Program, • Dog friendly office Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow. Note: We have an in-office work environment in all our offices in SF, NYC, and London.

___ is a one-of-a-kind online marketplace that connects design lovers to more than one million extraordinary pieces, from furniture and fine art to jewelry and fashion. As a leading global marketplace for design lovers, we enable shoppers to discover beautiful things and engage with top sellers from around the world. We encourage our shoppers to interact with sellers throughout all stages of the transaction, including item inquiries, price negotiations and customization requests. We are looking for an Infrastructure Developer to join our SysOps team and help enable our engineers to deliver and maintain a world-class eCommerce infrastructure. In this role, you will be responsible for ensuring the stability, observability, and performance of___ as we deliver to our ever-growing audience. To be successful in this role you will be an experienced systems engineer with a background in operating AWS services in a fast-moving environment with a high level of independence and responsibility. You will face unexpected challenges and work collaboratively with other engineers as we rapidly deploy new features using new technologies. This position is based in NYC but has the potential to not require an in office presence if you reside in one of the following states: California - CA, Colorado - CO, Connecticut - CT, Florida - FL, Illinois - IL, Maryland - MD, Michigan - MI, Massachusetts - MA, New Jersey - NJ, New York - NY, North Carolina - NC, Nevada, NV, Pennsylvania - PA, Rhode Island - RI, Texas- TX What you'll do: • You will optimize and retire legacy software and infrastructure tools, • You will offer support to our development team as they deploy bug fixes and feature enhancements, • You will find potential enhancements and opportunities for cost savings, • You will interface with other internal and external teams to roll out new features and new infrastructure components, • You will evaluate new technologies, vendors, and other initiatives, • You will be working cross-functionally in a diverse environment Who You Are: • You have 3+ years of experience in systems engineering/administration, preferably in a web or eCommerce environment, • You have Unix/Linux administration and management (Amazon Linux preferred) experience, • You have a strong background with:, • AWS cloud services (EC2/Dynamo/R53/RDS/S3 deployment and best practices), • AWS Multi-accounts, • Practical / hands-on configuration management (puppet, chef, ansible), • Containerization (ECS/Docker/Kubernetes) at scale, • GCP administration, • You have experience with Jenkins (Jenkins Configuration as Code(jcasc) plugin experience - a plus), • You are proficient in scripting with: Shell, Python, JavaScript, • You have experience with containerization workflows for development and deployment (docker/kubernetes or similar), • You are familiar with Git/Github best practices and workflows, • You have Mac OS X familiarity for local tooling and day to day work, • You are prepared to work on multiple projects with different priorities and timelines, • You possess strong written and verbal communication skills and the desire to work in an open and collaborative environment Nice to Haves: You have experience with any of the following • node.js/pm2/npm/yarn administration, • Fastly, • Terraform (infrastructure as code) and/or other Hashicorp systems, • Nginx, • Automation workflows and CI/CD pipelines, • JIRA, • Background in publicly traded / SOX compliant companies Our overall compensation package is made of several parts, base compensation being one of them. At 1stDibs we value and are proud of our culture, innovation, professional development and training workshops, trust and giving back to the community. Equity, a comprehensive benefits package, and incentive (IF APPLICABLE) are all are components of your total compensation package. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors. Tri-State Pay Range$95,000—$119,000 USD Remote home office-based employees outside of the tri-state area are eligible for the following salary range. Remote$85,000—$107,000 USD 1stDibs is an Equal Opportunity Employer The 1stDibs mission, to enrich lives with the extraordinary, can only be achieved when diversity, equity and inclusion are embedded into our values, culture and the way we do business. Enabling access to and celebrating unique and diverse perspectives is at the very core of what we do. We are committed to attracting and retaining the best talent in the industry, who are reflective of the diversity of our communities, and fostering an environment where every individual feels they belong, are valued and heard. As a leading design marketplace, we leverage the power of our platform and brand to empower historically underrepresented individuals, and the businesses they own, across the art and design industries. Total Compensation Statement 1stDibs is committed to attracting, motivating and retaining top talent who drive the business forward and help us achieve our mission and vision. The company’s Total Compensation packages are designed to reward performance, be fair, equitable, and competitive, and consist of base salary, equity (where applicable), and health and work-life benefits.

AI Engineer, Investment Services A CAREER WITH POINT72’S COO TEAM The AI Engineer, Investment Services will be responsible for exploring opportunities to develop and build potential solutions that leverage GenAI and Machine Learning in an effort to deliver innovative, GenAI driven products that seek to enhance the firm's business processes and enterprise intelligence. You will play a unique role by identifying key business problems and working in partnership with Compliance to identify potential solutions by applying advanced GenAI/ML techniques. This includes building prototypes to prove out hypotheses and delivering production-grade capabilities to enable opportunities for broad value creation for the firm. Your projects will span both on-premises and AWS environments, leveraging technologies such as Kafka, Spark, Cloud warehouses, and Data Lakes, and employing programming languages like Java, Python, and SQL. WHAT YOU’LL DO • Identify opportunities and develop technical roadmaps for GenAI solutions, • Scope, prioritize, prototype and deliver GenAI projects to help solve key business problems for Point72’s Investment Services teams. Your work/projects will span both on-premises and AWS environments, leverage technologies such as Kafka, Spark, Cloud warehouses, and Data Lakes, and use programming languages such as Java, Python, and SQL, • Lead collaborations across the firm, where appropriate, on GenAI/ML initiatives and techniques, • Deliver analytics and insights to measure the value of solutions delivered, • Partner with groups across the firm such as Technology and Compliance on GenAI initiatives, • Partner internally to establish rigorous model governance practices, including testing, monitoring, and documentation to ensure solutions remain accurate and bias-free, • Stay up to date on AI/ML market landscape, trends, and technological innovations to provide recommendations on new tools and methodologies for adoption WHAT’S REQUIRED • Bachelor's degree in computer science, engineering, or related field, • Minimum 5+ years of professional experience, • Demonstrated success leveraging AI/ML to drive/improve business outcomes, • The ability to develop, own, and provide technical leadership over AI solutions, including model selection, fine-tuning, and ideally model development, • Excellent written and verbal communication skills, • Commitment to the highest ethical standards WE TAKE CARE OF OUR PEOPLE We invest in our people, their careers, their health, and their well-being. When you work here, we provide: • Fully-paid health care benefits, • Generous parental and family leave policies, • Volunteer opportunities, • Support for employee-led affinity groups representing women, people of color and the LGBTQ+ community, • Mental and physical wellness programs, • Tuition assistance, • A 401(k) savings program with an employer match and more ABOUT POINT72 Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit ___. The annual base salary range for this role is $175,000-$225,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

Rilla builds the world’s leading conversation intelligence software for offline commerce. By recording, analyzing, and indexing conversations, our platform supplies unparalleled alpha to the critical, physical businesses that constitute the backbone of our economy. Our purpose is to bring the technology of the 21st century’s most innovative companies to the rest of the economy. As a side effect of this mission, we’ve become one of the fastest growing companies in history. In numbers, that means 0→$40M in 3.5 years, growing 15% MoM, Net Revenue Retention above 170%, an NPS higher than the iPhone’s, and profitability. AI Engineers at Rilla are redefining how humans interact with machines—using voice, intelligence, and a whole new class of data. Every day, you’ll architect and ship AI-powered systems that make it possible for people to talk to Rilla like they would a human. You’ll help build agents that operate natively on real-world audio, extract insights from conversations no one else can even access, and push the boundaries of what’s possible in AI. We’re building: * A voice-first interface that lets users command Rilla directly through natural speech * A search engine that uncovers business-critical insights from voice data that’s never been searchable * A first-of-its-kind audio intelligence pipeline—designed for the messy, noisy, wildly unstructured conversations that happen in the real world, not in an online meeting As an early AI engineer, you’ll shape the foundations of our AI stack and drive the invention of new techniques, tooling, and models. You’ll work across the full AI lifecycle—from data acquisition to real-time inference and user-facing chat interfaces. If you’re obsessive about your craft, think like a founder, and want to be on the frontier of voice and offline AI, this is your team. The scale of the problems we’re solving is unmatched—and the surface area for ownership is only getting bigger. * We work primarily in Python and TypeScript, with FastAPI for API development * AI/ML technologies including PyTorch, OpenAI APIs, Baseten, and LiteLLM * Cloud infrastructure with AWS and LiveKit for real-time communications * PostgreSQL, Redis, and S3 for data storage * An infinite learner. Someone who is relentless in their curiosity. * A customer obsessive. Someone who deeply care about delighting customers and solving real pains, not vanity metrics. * A winning attitude. You thrive with extreme accountability, learning as a team, and both giving and receiving rapid feedback. * Extreme empathy. Our customers are not tech companies. They live and work in the real world. Empathy is critical to arriving at correct solutions. * Unafraid of failure. You take risks. You see failure as an opportunity to learn, grow, and be better the next time. In a weird way, you trick your brain into being excited when you fail, because it means you got a new opportunity to learn more. * Experience building and deploying AI/LLM systems in production * Familiarity with tools that power today's AI: eval frameworks, agent tooling, and prompt engineering * Comfort working directly with customers to understand their needs and solve real-world problems Please don't join if you're not excited about: * Building an AI product for an industry untouched by modern software * Constantly talking to and visiting customers in the field * Working ~70 hrs/week in person with some of the most ambitious people in NYC * Attempting to build a generational company, and the intensity required to do so The estimated salary range for this position is $200,000 - $300,000/year. Successful candidates with competing offers will receive matching and competitive offers. Total compensation for this position may also include Incentive Stock Options, sign-on bonus, and other potential future incentives. This estimate excludes the value of any potential sign-on bonus; the value of any benefits offered; and the potential future value of any long-term incentives. Our benefits aim to empower Rilla employees in removing roadblocks to achieving their life’s work. The list below details our available benefits and some of the perks that can be enjoyed as an employee of Rilla. * Medical, dental, and vision insurance * Breakfast, lunch, dinner, and supplementary food and drink — 6x a week * Gym membership * Commuter benefits * Relocation assistance * Take what you need paid time off, not accrual based * $1,000 stipend for learning and personal growth * $1,500 a month rent stipend * Tech equipment

Credit Genie is a mobile-first financial wellness platform designed to help individuals take control of their financial future. We leverage artificial intelligence to provide personalized insights and are building a financial ecosystem by offering tools and services that provide instant access to cash, and building credit. Our goal is to empower every customer to achieve long-term financial stability. Founded in 2019 by ). Backed by Khosla Ventures and led by industry pioneers from companies such as; PayPal, Square, and Cash App, we are well positioned to build the future of inclusive finance through cutting-edge technology and customer-centric solutions. We are seeking a DevOps / Site Reliability Engineer (SRE) to design, build, and maintain scalable, reliable, and secure cloud infrastructure. This role will be instrumental in automating deployments, optimizing performance, and improving system resilience, working closely with engineering, security, data and AI teams to enable seamless operations. What you’ll do * Design, implement, and manage cloud-based infrastructure (AWS) to ensure scalability and resilience. * Implement robust incident response strategies. * Define and monitor SLOs, and SLAs to ensure alignment with business goals and user expectations; leverage insights from these metrics to improve reliability and inform strategic decisions. * Monitor and improve system reliability, availability, and performance, implementing best practices for high uptime. * Build and maintain CI/CD pipelines to enable fast and secure deployments for our engineering, data and AI/ML Teams. * Implement observability tools, including monitoring, logging, and alerting solutions, to proactively identify and resolve issues. * Automate infrastructure provisioning, configuration management, and deployments using AWS CDK and Terraform, or similar tools. * Collaborate with our security team to enforce best practices across infrastructure, including IAM, encryption, vulnerability scanning, and incident response planning. * Work with security and compliance teams to ensure adherence to regulatory requirements. * Conduct disaster recovery and business continuity planning, ensuring rapid response and system recovery. * 5+ years of experience in DevOps, SRE, or cloud infrastructure roles. * Strong expertise in cloud computing (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and automation (Terraform, AWS CDK or equivalent). * Strong knowledge of Linux systems, networking, and security best practices. * Proficiency in monitoring, logging, and alerting tools such as Prometheus, Grafana, ELK, or Datadog. * Experience with incident response, root cause analysis, and performance optimization. * Familiarity with fintech security and compliance regulations is a plus. * Strong scripting or programming skills (Python, Go, or Bash) for automation. Our goal is to provide a comprehensive offering of benefits and perks that promote better financial, mental, and physical wellness. We believe working alongside each other in person is the best way to build a great product and foster a strong company culture. Our expectation is that employees are in the office five days a week, allowing for optimal collaboration, inclusivity, and productivity. At the same time, we understand that life happens and recognize the importance of flexibility. We are committed to supporting our employees when circumstances arise that require remote work or adjusted schedules. Our goal is to ensure everyone can effectively balance personal and professional responsibilities while maintaining our collaborative and productive environment. Here are some highlights of our benefits and perks offerings, feel free to ask your recruiting partner for more details on our comprehensive offering for employees. * 100% company-paid medical, dental, and vision coverage for you and your dependents on your first day of employment. * Monthly fitness reimbursement up to $100 or a full membership to LifeTime Fitness * 401(k) with a 2.5% match and immediate vesting * Meal program for breakfast, lunch, and dinner * Life and accidental insurance * Flexible PTO Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of your total compensation and rewards package at Credit Genie. You may also be eligible to participate in the bonus and equity programs. You will also have access to comprehensive medical, vision, and dental coverage, a 401(k) retirement plan with company match, short & long term disability insurance, life insurance, and flexible PTO along with many other benefits and perks. Credit Genie is a proud Equal Opportunity Employer where we welcome and celebrate differences. We are committed to providing a workspace that is safe and inclusive, where everyone feels supported, connected, and inspired to do their best work. If you require any accommodations to participate in our recruitment process, please inform us of your needs when we contact you to schedule an interview.

Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. Its open-source technology is trusted by over 20,000 organizations worldwide - including more than half of the Fortune 500 - H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Singtel, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include Dell Technologies, Deloitte, Ernst & Young (EY), NVIDIA, Snowflake, AWS, Google Cloud Platform (GCP) and VAST. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, ___ aims to co-create valuable AI applications for all users. H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. About This Opportunity Are you a data scientist or machine learning engineer who enjoys solving real-world problems by applying cutting edge Gen AI/ML algorithms? Are you passionate about working with customers to solve their business challenges? Can you explain complex machine learning concepts in simple business terms? If the answer is “yes”, then we are looking for you! This position is based in New York, NY and open to candidates in Boston, MA; and the Washington, D.C. area. What You Will Do • Deliver data science and/or machine learning professional services to the customers. This will entail working closely with cross-functional teams to gather requirements, preprocess, and analyze data to develop data-driven solutions., • Support customers by helping to build custom data models, transformation, scorers/optimization loss functions/metrics that can be leveraged with H2O Driverless AI and help improve training performance for the customer use cases/domains., • Ability to design and run training sessions for our customers in data science concepts as well as using H2O products. Training will need to be able to be delivered to audiences with varying data science skills and abilities., • Help customers understand the nuances of data science, expert settings of H2O Driverless AI and H2O open source, and the strategies of experiment tuning that you would use to incrementally improve model performance. This also includes explaining model performance, model interpretability, and post deployment model monitoring concepts so as to ensure the business is making the right decisions on the model predictions., • Participate in the development of ML solutions and AI applications for internal use, contributing to the advancement of our technology stack.What We Are Looking For, • Proven experience in software engineering, data science, machine learning, and AI with a minimum of 2 years of professional hands-on experience., • Knowledge and experience of using a variety of machine learning techniques (supervised/unsupervised, clustering, decision tree learning, neural networks, etc.) and their real-world advantages/drawbacks/tuning techniques., • Knowledge and experience of using advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) for practical applications., • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc., • Solid understanding of machine learning algorithms and experience applying Gen AI/ML to solve real work problems, including deployment of end to end ML pipelines, • Interest in Generative AI and Large Language Models (Prompt Engineering, Retrieval Augmented Generation, LLMOps, Making custom LLM models, fine tuning etc, Guardrails), • Strong problem-solving skills and the ability to work independently and as part of a team., • Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders.How To Stand Out from the Crowd, • Experience with solving machine learning problems using H2O products , Python, R., • Experience of visualizing and presenting (EDA) to stakeholders using H2O Wave, or other standard data visualization libraries in the Python and R stacks or using Tableau/PowerBi., • Understanding and experience with post production model monitoring concepts and tools like H2O ML Ops MLFlow etc.Why H2O.ai?, • Market Leader in Total Rewards, • Remote-Friendly Culture, • Flexible working environment, • Be part of a world-class team, • Career Growth, • Salary range: $150,000 - 200,000 +H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit______to learn more. #LI-Hybrid

📐 About this Role As a Software engineer, AI retrieval, you will be responsible for designing, implementing, and optimizing the AI retrieval systems that power our platform. You'll work closely with our data scientists, product managers, and other engineers to ensure that our AI models are integrated seamlessly into our applications, providing fast and accurate results. This role requires a deep understanding of software engineering principles and a strong foundation in AI and machine learning. * Design and implement AI retrieval systems: Develop and maintain the core AI retrieval algorithms and services that enable our platform to efficiently search and retrieve relevant content. * Optimize performance: Ensure that our AI retrieval systems are highly performant, scalable, and can handle large volumes of data and requests. * Collaborate with cross-functional teams: Work closely with data scientists, product managers, and other engineers to understand requirements, provide technical guidance, and deliver high-quality solutions. * Code quality and best practices: Write clean, maintainable, and well-documented code, adhering to best practices in software engineering. * Testing and validation: Develop comprehensive unit and integration tests to ensure the reliability and accuracy of our AI retrieval systems. * API development: Build and maintain REST and GraphQL APIs using frameworks like FastAPI and Flask to expose our AI retrieval capabilities to other services and applications. * Streaming and cancelable endpoints: Implement streaming responses and cancelable endpoints to support real-time and interactive use cases, such as model output. * Continuous improvement: Stay up-to-date with the latest developments in AI and software engineering, and continuously improve our systems and processes. * Language fundamentals: Proficient in Python, with a strong understanding of data types, string manipulation, type casting and conversions. * Functions: Experienced in calling functions, using default and variable arguments, and writing lambda functions. * Virtual environments: Familiar with tools like venv, virtualenv, pipenv, and poetry for managing project dependencies. * File handling: Skilled in reading, writing, and manipulating files in Python. * Error Handling: Expert in handling errors and exceptions to ensure robust and reliable code. * Datamodels: Knowledgeable in designing and using data models to represent and manage data efficiently. * Context managers and logging best practices: Proficient in using context managers and implementing logging best practices to maintain code clarity and traceability. * Inheritance and method overriding: Experienced with object-oriented programming concepts, including inheritance and method overriding. * Magic methods: Familiar with Python's magic methods to enhance the functionality of custom classes. * Code formatting: Adheres to code formatting standards using tools like black, isort, flake8, and pylint. * Testing: Strong background in testing methodologies, including unit testing with pytest, mocking, and integration testing. * Versioning: Familiar with semantic versioning and maintaining changelogs to track changes and updates. * Data structures: Proficient in using stack, queue, and priority queue data structures (via collections) to manage and process data efficiently. * Functional programming: Experienced in functional programming concepts such as map, filter, reduce, generators, and decorators. * Async programming: Skilled in asynchronous programming using asyncio, aiohttp, async generators, and handling timeouts with wait_for. * Threading vs multiprocessing: Understands the differences and trade-offs between threading and multiprocessing, and can choose the appropriate approach for different tasks. * Memory and performance profiling: Proficient in using tools like tracemalloc and cProfile to identify and optimize memory usage and performance bottlenecks. * API development: Experienced in developing and maintaining REST and GraphQL APIs using frameworks like FastAPI and Flask. * Streaming responses and cancelable endpoints: Capable of implementing streaming responses and cancelable endpoints to support real-time and interactive use cases. * Machine learning experience: Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. * Natural Language Processing (NLP): Experience with NLP techniques and tools, such as spaCy or NLTK. * Distributed systems: Knowledge of distributed systems and experience with tools like Kubernetes or Docker. * Cloud services: Experience with cloud platforms like AWS, GCP, or Azure. * Open source contributions: Contributions to open-source projects or a strong portfolio of personal projects. 🍩 Benefits & perks (US Full-time employees) * Generous PTO, plus company holidays * Medical, dental, and vision coverage for you and your family * Paid parental leave for all parents (12 weeks) * Fertility and family planning support * Early-detection cancer testing ___ Early-detection cancer testing * Flexible spending account and dependent FSA options * Health savings account for eligible plans with company contribution * Annual work-life stipends for: * Home office setup, cell phone, internet * Wellness stipend for gym, massage/chiropractor, personal training, etc. * Learning and development stipend * Company-wide off-sites and team off-sites * Competitive compensation, company stock options and 401k Writer is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on 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 basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to ___.

We are all social creatures, but the dominant “social” companies today have evolved into digital loneliness machines, driving isolation, anxiety, and mental health challenges across our lives. Human connection is lost. Posh is a beacon guiding us back. Posh enables anyone to become an event organizer, build a community around their followers, and bring people together in person to cultivate real-world human connections. Founded by event enthusiasts and college dropouts, we’ve built the ultimate tools for creating, marketing, and monetizing in-person communities globally. In just three years, Posh has grown to a team of 60, expanded to 5M+ users, secured $40m in venture funding, and facilitated over $220M in transactions. We've achieved more than teams ten times our size in a tenth of the time—and there's so much more to come. We are looking for an experienced Senior Data Engineer to lay the foundation for our data infrastructure and drive the evolution of our data systems as we scale our Data Engineering department. As our founding Data Engineer, you’ll have the rare opportunity to architect and build scalable data solutions from the ground up, define best practices, and create a robust, high-performing data environment that fuels our company’s growth as a data-driven organization. At Posh, you'll design and manage our data warehouse, infrastructure, and pipelines. You'll integrate new data sources and optimize transformations to enable efficient, reliable analytics. Working across the entire data stack—from ingestion to transformation to storage and performance tuning—you'll build robust, scalable, and efficient data systems. You'll collaborate closely with Product and Engineering teams to define data models, establish governance practices, and create infrastructure that drives company-wide decision-making. Your responsibilities will include maintaining data security, reliability, and monitoring to ensure a trusted, scalable environment. This role offers a high-growth opportunity as we expand our data capabilities and team. If you're passionate about building from scratch, driving best practices, and making a lasting impact, this is the role for you. This is an in-person position at our New York City office, located in the heart of SoHo. * Designing, Building, and Maintaining Scalable Data Pipelines: Design and optimize robust ETL/ELT pipelines that efficiently process and integrate data from multiple sources while ensuring scalability and reliability using Python and SQL. * Ensuring Robust Data Governance and Management: Implement and enforce data governance best practices to maintain data integrity, accuracy, and accessibility. Create clear documentation and establish company-wide data policies. * Optimizing Data Infrastructure for Performance and Scalability: Enhance data architecture, storage solutions, and processing frameworks to handle growing data volumes while reducing latency and maximizing cost efficiency, to support real-time and batch data processing). * Drive Best Practices for Data Collection: Establish and enforce data collection standards to ensure consistency, reliability, and scalability. Set up automated monitoring, logging, and alerting for data pipelines to ensure reliability efficient QAing. Maintain security protocols, access controls, and compliance standards to safeguard sensitive data and meet regulatory requirements. * Collaborate with Product and Engineering Teams: Work cross-functionally to define data requirements, design efficient data models, and track product features and metrics. Partner with Engineering teams to implement effective data tracking, logging, and ingestion strategies that align with business objectives. * Possesses 5+ Years of full time Data Experience: Has at least four years of hands-on experience in data engineering or analytics engineering. Demonstrates a strong ability to design, build, and optimize scalable data systems. * Strong Experience with Modern Data Stack Technologies: Familiar with cloud data platforms (AWS, GCP, Azure), orchestration tools (Airflow, Prefect, Dagster), data integration tools (Fivetran, Estuary), transformation frameworks (dbt), modern data warehouses (BigQuery, Redshift, Snowflake), and NoSQL databases (MongoDB). * Expertise in Database Management and Performance Optimization: Proficient in SQL-based and NoSQL databases, optimizing query performance, indexing strategies, and ensuring efficient data storage and retrieval. * Expertise in Modeling Best Practices Data Governance, Quality Assurance, and Documentation: Skilled in creating scalable, well-documented data models for self-serve analytics with robust data validation, testing, and observability. Implements proven practices for data governance, integrity, and accessibility to ensure consistent, reliable data throughout the organization. * Experience building ML Pipelines: Experience creating and cleaning data for production ready ML models and identifying new data sources to increase ML efficacy. * Highly Organized, Proactive, and Efficient: Is able to manage multiple projects simultaneously. Capable of prioritizing tasks effectively to meet deadlines, ensuring efficient and timely completion of projects. * Has a Background in Early Stage Data Team (Required): Exhibits high interest in startups and has experience building the early foundation of a data team at a small tech company. Posh provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Posh is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. Please let us know if you need assistance or accommodation due to a disability

Who We Are Perchwell is the modern real estate listings platform built for agents to search smarter, collaborate better, and close deals faster. We are building the future of residential real estateʼs critical listings infrastructure: a platform where market research and client collaboration converge. Our modern architecture enables continuous innovation at a pace legacy systems cannot match, with AI-powered features and mobile-first capabilities designed for how agents actually work. As consumer expectations and technology evolve, Perchwell remains focused on our core vision: empowering real estate professionals with the most intelligent, data-driven, and connected platform in the industry. Backed by leading venture capital firms including Lux Capital and Founders Fund, along with strategic partnerships with some of the country's top Multiple Listing Services (MLSs), Perchwell represents the first major new platform to enter the listings technology market in decades. This unique combination of institutional investment and deep industry alignment provides both the resources and market validation needed to transform the multi-trillion dollar residential real estate industry. Data is core to Perchwell's mission of creating a unified Multiple Listing System (MLS). As a Staff Data Engineer, you'll collaborate with cross-functional teams (Data Analysts, Product, Design, and Engineers) to build robust data solutions. From building a data lake and warehouse solution to scaling our existing data infrastructure, you'll create a best-in-class system to accelerate Perchwell's ability to onboard client data quickly and accurately. As a foundational member on this new initiative, you'll have the opportunity to shape the standards, culture, and values of the data engineering team. We are looking for teammates who are excited to work from our SoHo NYC office 3 days a week. * Create and scale powerful data pipelines that seamlessly integrate millions of property listings and market insights from multiple real estate data sources and APIs * Champion data excellence by architecting automated governance systems that ensure pristine data quality and deep observability across our platform * Lead the evolution of our data infrastructure to support rapid MLS onboarding, building solutions that will serve real estate professionals nationwide * Partner with our Data Analytics team to transform raw property data into actionable insights, powering decision-making tools and market intelligence dashboards * You bring 6+ years of hands-on data engineering expertise, with deep experience in Python, SQL, or Kotlin to tackle complex challenges * You have a proven track record of architecting and deploying resilient data pipelines that seamlessly integrate with third-party APIs, handling both batch processing and real-time data streams * You've mastered the art of workflow orchestration using modern tools like Airflow, Dagster, or Prefect, ensuring data flows smoothly and reliably * Experience with cloud architecture (preferably AWS) and technologies including S3, SQS, RDS, EMR, Glue, Athena, and Lambda * Experience working with data warehouses: redshift, snowflake, ClickHouse or google bigquery * Experience building CI/CD pipelines using GitLab, GitHub actions, Terraform, or Jenkins * You understand the bigger picture of microservices architecture and have implemented cloud data lake solutions that drive real business value * Ability to translate complex concepts for diverse audiences and thrive in collaborative environments To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. Our ranges are based on function and level benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including skills, job-related knowledge and depth of work experience. The compensation for this position is $200-$245K base salary + equity + benefits * Unlimited PTO, plus 10 paid company holidays * 401K with a company match * Medical, dental, and vision plans * HSA and FSA options * Commuter benefits * Parental leave * Company-wide onsite or offsite each year * Beautiful office in Soho, Manhattan with a stocked kitchen, catered breakfast and lunch once per week, happy hours and meet-ups Note: At this time, we are only considering candidates who are authorized to work in the U.S.

Manager, Data Science - GenAI Digital Assistant Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description: The GenAI Powered Digital Assistant Team in AI Foundations engage in active research in GenAI powered conversational capabilities and build scalable futuristics solutions to enhance our customers digital experience and real time support through digital assistance. You will be the driving force to lead research, innovate and develop applications with emerging AI/ML technologies. Our areas of research include advanced LLM powered digital Assistant, multi-agentic workflow, domain specific conversational large language model tuning and inference optimization. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how developers write software. * Lead cutting-edge research and development in Generative AI (GenAI) to enhance conversational AI capabilities and build scalable, futuristic digital assistant solutions. * Fine-tune advanced Large Language Models (LLMs) for domain-specific conversational applications, inference optimization, and multi-agentic workflows. * Leverage a broad stack of technologies — Python, AWS, Pyspark, LangChain, LangGraph, HuggingFace Transformers, vLLM and VectorDBs, and more * Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for business specific applications and features. * Drive innovation by designing, training, evaluating, and deploying state-of-the-art NLP models, partnering with engineering teams to integrate them into scalable and resilient production systems. * Translate complex AI/ML research into tangible business outcomes, improving customer experience through real-time, intelligent digital assistance. The Ideal Candidate is: * Innovative. You are deeply engaged in AI/ML research and stay ahead of the curve on emerging GenAI advancements. You seek out opportunities to apply state-of-the-art methods to real-world problems.. * Creative. You excel at defining and solving complex, ambiguous problems, constantly questioning and pushing boundaries to develop novel solutions * A leader. You challenge conventional thinking, drive breakthroughs in conversational AI, and mentor teams to achieve innovation excellence * Technical. You have hands-on experience in AI/ML development, working with open-source tools, cloud computing platforms, and DevOps technologies. You are proficient in NLP and LLM tuning. * Influential. You are passionate about GenAI and can bring together cross-functional teams to drive adoption and innovation. You communicate complex ideas clearly to technical and non-technical audiences. Basic Qualifications: * Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: * A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics * A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics * A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics * At least 1 year of experience leveraging open source programming languages for large scale data analysis * At least 1 year of experience working with machine learning * At least 1 year of experience utilizing relational databases Preferred Qualifications: * PhD in Computer Engineering plus 3 years of relevant experience, prior publication/research experience referred * At least 3 years of specialized experience in GenAI application development. * At least 3 years of experience in LLM model training, evaluation, inference optimization and parallelization in GPU cluster * At least 3 years of experience working with AWS or equivalent GPU Clusters * At least 3 years of experience in PyTorch/Tensorflow 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. McLean, VA: $193,400 - $220,700 for Mgr, Data Science New York, NY: $211,000 - $240,800 for Mgr, Data Science San Jose, CA: $211,000 - $240,800 for Mgr, Data Science 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 1-800-304-9102 or via email at . 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).

Job Description Trilagen is on the lookout for an enthusiastic Enterprise Account Executive to join our Cloud division. In this dynamic role, you will be instrumental in driving our growth by identifying and developing new business opportunities within the cloud services space. Your responsibilities will include researching potential clients, initiating contact, and qualifying leads to present our cloud solutions effectively. The ideal candidate will be self-driven, possess exceptional communication skills, and demonstrate a strong interest in cloud technology. At Trilagen, you’ll have the chance to impact clients' businesses positively while furthering your career in a cutting-edge technology environment. Responsibilities • Identify and pursue new business opportunities in the cloud services market., • Establish connections with the AWS Vertical and Enterprise Teams in the North East., • Research target clients and reach out via email, phone, and social media to initiate conversations., • Qualify leads to ensure alignment with our cloud solutions and prepare them for the sales team., • Maintain accurate records of lead generation activities and report on outcomes to management., • Bachelor's degree in Business, Information Technology, or a related field; prior experience in a sales or business development role is preferred., • A minimum of 4 years of experience in business development or sales, particularly within the cloud services sector working with AWS., • Must live in New York City or have ability to travel into NYC daily., • Existing connections and knowledge of the AWS Vertical and Enterprise sales teams in the Northeast., • Solid understanding of sales processes and ability to foster relationships with potential clients., • Exceptional verbal and written communication skills with a talent for engaging prospects., • Proficiency in Salesforce CRM., • Self-motivated with the ability to handle multiple tasks and work effectively in a fast-paced environment., • Familiarity with advanced concepts and emerging trends in cloud computing. Benefits: • 401K, • Health Insurance, • Dental Insurance, • Paid Time Off, • Paid Sick Leave

Inspired by internal tooling we saw at AWS and Palantir, we're building to let every engineering team offer easy-to-use and well-documented APIs. This role is ideal for ambitious engineers with entrepreneurial goals. As we scale, you'll work closely with our CEO and CTO to attract and hire talented

Should have 10 + years of experience as a Technical Architect in Cloud platforms preferably in AWS. Should be able to work independently with guidance/support of Lead Developer/Architect.

You will report to the Data Engineering Manager on the Data Engineering Team, which is focused on delivering high-quality data and tooling on a reliable and scalable platform for analytics. We are looking for a Senior Data Platform Engineer to help develop our data pipeline frameworks, improve our m

PLEASE NOTE THIS POSITION WILL BE ON A HYBRID REMOTE SCHEDULE, HOWEVER WITH A. That's why we offer a fantastic benefits package that includes health and welfare benefits, life insurance, retirement plans, paid holidays, and the flexibility of remote work options.

Description: We are a full-cycle web development team, specializing in developing individual solutions to take the client's business to a new, higher and more productive level. What worries us? We have great websites and we are the best at this job. As a team focused on the most impressive results, we strive for your true "Wow!" reaction. We go beyond design and development and implement the most innovative and bold solutions. Requirements: Responsibilities At least 4 years of commercial experience with React.js using modern functionality (Hooks, Context API etc.) Advanced knowledge of Material UI Working experience with JavaScript, TypeScript and Git Experience working with cloud platforms (AWS or Azure) is a plus Experience working with Node.js is a plus Experience developing Crypto Projects is a plus (Crypto wallets integration, Smart Contract implementation etc) Experience with CSS English level - Intermediate About Us: We are a full-cycle web development team, specializing in developing individual solutions to take the client's business to a new, higher and more productive level. What worries us? We have great websites and we are the best at this job. As a team focused on the most impressive results, we strive for your true "Wow!" reaction. We go beyond design and development and implement the most innovative and bold solutions.

hatch I.T. is partnering with VetraFi to find a Software Engineer. See details below: About The Role: VetraFi is on the hunt for an Agile Software Engineer ready to tackle the challenges of an early-stage startup. You'll play a pivotal role, working directly with the CEO and their burgeoning engineering team, driving the growth of both their team and product portfolio. You'll be instrumental in refining their technical stack, improving their development processes, and fostering team collaboration. The ideal candidate is a self-motivated, multi-tasker, and a demonstrated team-player. You will be responsible for the development of new software products and enhancements to existing products. You should excel in working with large-scale applications and frameworks and have outstanding communication and leadership skills. \n Job Responsibilities: • Writing clean, high-quality, high-performance, maintainable code, • Develop and support software including applications, database integration, interfaces, and new functionality enhancements which includes:, • Constructing VetraFi's banking client to interface seamlessly with our partner bank. Involving:, • Integration with essential BaaS provider APIs for account openings, fund wiring, account closures, etc., • Coordinate cross-functionally to insure project meets business objectives and compliance standards, • Support test and deployment of new products and features, • Participate in code reviews, • Implement and refine engineering processes, methodologies, and best practices to enhance productivity and product quality Job Qualifications: • Versatile full stack with 3+ years in the field. Startup or fintech background strongly preferred but not essential, • Bachelor's degree in Computer Science (or related field) (strongly preferred, but not required), • Familiarity with our current tech stack, including Typescript, React Native, Express, AWS, and GraphQL, • Experience with Agile or Scrum software development methodologies, • Ability to multi-task, organize, and prioritize work, • Capable of progressing rapidly without micromanagement, valuing autonomy in planning and execution, • Proactive, ambitious, and professionally mature, ready to lead and innovate, • Based in the NY area, comfortable with a hybrid work model (2 - 3 days in-person / week) \n

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. The Security Engineering team's mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we're developing critical security infrastructure, building secure development practices, or partnering with our research and product teams, we are committed to operating as a world-class security organization and keeping the safety and trust of our users at the forefront of everything we do. • Build security for large-scale AI clusters, implementing robust cloud security architecture including IAM, network segmentation, and encryption controls, • Design secure-by-design workflows across our services and cloud infrastructure, with expertise in AWS/GCP security services, Kubernetes security, and container orchestration, • Mentor engineers and contribute to hiring and growth of the Security team, • 7+ years of software engineering experience implementing and maintaining critical systems at scale, • Bachelor's degree in Computer Science/Software Engineering or equivalent industry experience, • Ability to write maintainable and secure code in Python, • Track record of driving engineering excellence through high standards, constructive code reviews, and mentorship, • Proven ability to lead cross-functional security initiatives and navigate complex organizational dynamics, • Outstanding communication skills, translating technical concepts effectively across all organizational levels, • Demonstrated success in bringing clarity and ownership to ambiguous technical problems, • Strong systems thinking with ability to identify and mitigate risks in complex environments, • Have experience supporting fast-paced startup engineering teams, • Be passionate about AI safety and alignment, with keen interest in making AI systems more interpretable and aligned with human values Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected salary range for this position is: Annual Salary: $300,000 - $405,000 USD Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about ___ for using AI in our application process

TypeScript, PostgreSQL/pgvector, AWS) and push the envelope with cutting-edge Generative AI — integrating state-of-the-art models (OpenAI, Anthropic), retrieval-augmented generation (RAG) pipelines, and scalable LLM infrastructure. You’re passionate about GenAI and actively experiment with new m

Your team’s dynamic: Are you looking to being part of a company where you will be at the helm of your own career? At Genetec you will be encouraged to ask questions, share your ideas and to be independent. We believe that everyone’s voice deserves to be heard and we want you to learn and to grow within your role to maximize your potential. Our family, of over 2000 people globally, is made up of diverse individuals who are passionate about technology and are quick to try new ideas, even if it means risking failure. Is being part of an inclusive, equal opportunity employer important to you? It is for us! Most of all, we are all proud to say that we have the privilege to work with some of the coolest, smartest and nicest people we know - each other! What your day will look like: • Develop the assigned sales territory for company products, • Discover and track opportunities, follow up and distribute leads to partners, • Visit Customers/partners/consultants at their premises, • Manage forecasts and achieve quotas, • Identify customer needs, respond to RFIs, RFQs, prepare quotes and write proposals, • Coordinate and facilitate communication with Customers and MRs, • Monitor and report satisfaction levels from customers, integrators, consultants, • Coordinate customer, integrator, consultant training, • Update and maintain data in CRM or other applications, • Acquire, maintain, and report adequate knowledge of product, market, and competition, • Interpersonal communication skills and ability to communicate with stakeholders at different levels, • Technical knowledge or specialty knowledge in Access Control, Video, Video Analytics, or Cloud Architecture, • Experience managing technical pre-sales processes with a team of sales professionals, • Enthusiastic, self-starter with a charismatic personality, • Strong desire to grow professionally, • Previous experience with Genetec Security Center, • Previous experience designing enterprise access control and video solutions, • Knowledge in Azure and AWS cloud storage, • Advanced knowledge in networking technology and architecture, • Attractive compensation package with 401K match, • Training Tuition Reimbursement Program Thank you for your application, but please note that only qualified candidates will be contacted. Head-hunters and recruitment agencies may not submit resumés/CVs through this Web site or directly to managers.

HATCH Senior Fullstack Engineer MUST BE BASED IN THE US/Canada- (CST, EST ) About Our Company (standard across JDs): Hatch empowers sales and service teams to build AI agents that don’t merely assist behind the scenes; they interface directly with customers out in the wild, elevating the customer experience while freeing up human agents for more gratifying and impactful work. Backed by Y Combinator and top-tier investors like Bessemer and NextView, we’re scaling fast, doubling revenue year over year, and are constantly raising the bar for what it means to be category leader in AI for customer engagement. About Our Culture (standard across JDs): At Hatch, speed is our superpower—we move fast, cut through noise, and get things done. We solve problems by running straight at them. Mistakes happen, and that’s fine—what matters is how quickly we learn and adapt. We trust each other to aim high and do great work, but we verify to make sure we're all aligned. A-players thrive here because they’re pushed to grow, challenged to think differently, and expected to bring real curiosity and initiative to the table—every single day. About Your Role (adjust per role): We are looking for a skilled Senior Fullstack Engineer (Can lean heavily back or front) to join our growing team. Our stack is Elixir, Python, Golang, React, Typescript and Next.js. Your role is critical in building and maintaining the high-performance backbone of our digital services. You will lead the development and optimization of our systems ensuring they are robust, scalable, and efficient. Your technical expertise will be pivotal in evolving our platform's architecture to support the rapid growth and dynamic needs of our business. What We're Looking For : * 5-8 years of professional software engineering experience. * Expert-level proficiency in Python, Golang or Elixir with experience using frameworks like Django, Flask, or FastAPI. * Strong understanding of relational and NoSQL databases, including PostgreSQL and MongoDB. * Hands-on experience with cloud platforms such as AWS, GCP, or Azure. * Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes. * Build and maintain high-performance front-end applications using React, TypeScript, and Next.js * State Management – Implement efficient state management solutions using Redux, Recoil, or Context API * Database Design & Management (PostgreSQL, MongoDB) * REST/GraphQL API Development * Testing Frameworks (Pytest, Unittest) * Cloud Platforms (AWS, GCP, Azure) * CI/CD Tools (Jenkins, CircleCI, GitHub Actions) * Performance Monitoring and Debugging Nice to Have (adjust per role): * Experience working in a fast-growing startup environment. * Familiarity with containerization (Docker, Kubernetes) and orchestration tools. What We Offer (adjust per role): * Competitive salary and equity * Remote (Eastern or Central Time Zone required) OR Hybrid work environment (3 days/week in our NYC office) * Medical, dental, and vision benefits * 401(k) plan * Flexible PTO * Opportunity to build at the ground floor of a high-growth, mission-driven company * Not offering sponsorship Why Hatch (adjust per role): * Shape the future of AI-driven customer service * Build alongside founders and leaders who value speed, ownership, and ambition * Solve hard problems and see the impact on real businesses and customers * Join a team of builders who care about great engineering, fast execution, and each other

This role is ideal for ambitious Ruby engineers with entrepreneurial goals. We are looking for a Ruby expert to lead the development of Fern’s Ruby SDK generator. Your work will directly influence the experience of thousands of developers using SDKs for companies like ___, ___, ___, ___, and more. You'll define what high quality looks like in Ruby SDKs and help set the standard for the broader Ruby community. Many of us are former or future founders, and this is an opportunity to scale a company from $1M to $10M ARR while partnering with fast-growing tech companies shaping the future of software. We value in-person collaboration and work out of our office in the Williamsburg neighborhood of Brooklyn. Sound like you? Get in touch. * Define Ruby best practices. You’ll set the tone for how a modern Ruby SDK should feel — readable, idiomatic, and a joy to use. We’re constantly raising the bar to make our SDKs the best in the industry. This is more than code generation; it's about crafting Ruby libraries that developers trust and love. * Build out our compiler. You'll own core components of our ___, defining the primitives that power every one of our SDKs. You’ll implement new capabilities like ___ and ___, and push the boundaries of what a generated SDK can offer. * Engage with the Ruby community. You’ll stay on top of modern Ruby tools and frameworks, incorporate best practices, and work directly with developers through GitHub issues and community forums to evolve the SDK based on real-world needs. * Build our team. You'll work closely with our CEO and CTO to recruit and mentor new engineers as we scale. * Deep experience with modern Ruby tools, such as ___, ___, and ___. * Strong grasp of Ruby’s evolving ecosystem — from type checking with ___ and ___ to emerging standards like ___. * Enthusiasm for shaping language communities, like ___, our C# engineer who ___ with the .NET team. * An eye for crafting a great developer experience. * (Bonus) You've worked in a high-growth SaaS company * (Bonus) Experience working with the OpenAPI specification, Conjure (Palantir), or Smithy (AWS) * Kind teammates who work hard * First-hand experience building an early-stage startup * Living proximity bonus of $18,000 per year if you choose to live near the office * Meals (breakfast, lunch, and dinner) at the office * Health, dental, and vision insurance * Unlimited vacation * Domestic and international team ___ Domestic and international team * Microservices: Express (Node.js), FastAPI (Python) * Postgres + Prisma ORM (Database) * Anthropic + Bedrock (LLM) * Fern (API) * AWS (Cloud) * Phone screen with a founder * Three interviews: one coding, one decomp, one behavioral * Onsite with our team

Who We Are Perchwell is the modern real estate listings platform built for agents to search smarter, collaborate better, and close deals faster. We are building the future of residential real estateʼs critical listings infrastructure: a platform where market research and client collaboration converge. Our modern architecture enables continuous innovation at a pace legacy systems cannot match, with AI-powered features and mobile-first capabilities designed for how agents actually work. As consumer expectations and technology evolve, Perchwell remains focused on our core vision: empowering real estate professionals with the most intelligent, data-driven, and connected platform in the industry. Backed by leading venture capital firms including Lux Capital and Founders Fund, along with strategic partnerships with some of the country's top Multiple Listing Services (MLSs), Perchwell represents the first major new platform to enter the listings technology market in decades. This unique combination of institutional investment and deep industry alignment provides both the resources and market validation needed to transform the multi-trillion dollar residential real estate industry. As a Staff Full Stack Engineer on the platform team, you’ll architect the next generation of our platform. By designing the foundational platform for our product services, you’ll help us accelerate our expansion across the real estate industry. Using your frontend and architecture expertise, you’ll create modular, performant product services and UI’s that will scale as we integrate with hundreds of client systems into the future. You will collaborate closely with the VP of Engineering, ___, and other senior leaders on Product, Data, and QA. We are looking for teammates who are excited to work from our SoHo NYC office 3 days a week. * Architect and develop the next-generation data platform. Design a system for high-throughput data and event-driven services. * Design scalable APIs and services. Implement authentication/authorization solutions as well as core service domains like geospatial and search. * Build and maintain reliable and performant infrastructure. Utilize Kubernetes, Cloud services, and other tools to drive observability best practices. * Work with cross-functional teams to deliver strategic technical initiatives. Collaborate with others in Engineering, Product and Data to achieve our goals of building a unified data platform. * 10+ years of software development experience, primarily focused on backend services, with comfort working on frontend technologies. * Expertise in distributed systems and designing scalable services on Kubernetes. * Strong proficiency with cloud platforms (AWS and/or GCP) and message passing architectures (Kafka, Red Panda, gRPC/protobufs). * Advanced backend service and API development skills using modern programming languages (Python, Golang, Rust, Ruby). * Deep understanding of software engineering fundamentals: modularity, scalability, and separation of concerns. * Experience with frontend technologies, including Typescript, JavaScript (ES6+), HTML5, CSS, and React. * Proven ability to design and implement solutions using various database types (relational, columnar, document, vector). * Skilled at integrating observability and performance monitoring into all aspects of system design. * Ability to work across service, database, and infrastructure boundaries to address design and performance challenges. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. Our ranges are based on function and level benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including skills, job-related knowledge and depth of work experience. The compensation for this position is $200-235K base salary + equity + benefits * Unlimited PTO, plus 10 paid company holidays * 401K with a company match * Medical, dental, and vision plans * HSA and FSA options * Commuter benefits * Parental leave * Company-wide onsite or offsite each year * Beautiful office in Soho, Manhattan with a stocked kitchen, catered breakfast and lunch once per week, happy hours and meet-ups Note: At this time, we are only considering candidates who are authorized to work in the U.S.

Owl.co empowers insurers to combat illegitimate claims on a large scale while eliminating human bias from the process. Our clients are top insurance companies across North America, achieving remarkable results through our AI-powered, evidence-based platform. We are well-funded and have engineering offices in New York City, Toronto, and Vancouver. We are looking for exceptional Software Engineers to work across the stack – from frontend to backend to services – to build products that delight our users. This role is 5 days per week onsite in our Chelsea office in NYC. Responsibilities: • Work with leadership and Product Management to develop features that truly elevate the experience of our users and improve their efficiency., • Lead/participate in activities that improve Owl’s code excellence., • Bachelor's degree in Computer Science or relevant technical field., • Strong foundation of computer science and algorithms., • 3-6 years of experience as a generalist Software Engineer., • Familiarity with CI/CD tools and practices., • Experience in solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward., • Ability to effectively communicate thoughts and ideas to technical and non-technical peers. Preferred Qualifications: • 2+ years of Python and Typescript experience in production., • Proficiency in AWS services such as EC2, S3, RDS, Lambda, and VPC., • Proficiency in scripting languages such as Python, Bash, or similar., • Experience in utilizing Generative AI technology. Join us at Owl.co and be part of a dynamic team driving innovation in the insurance industry. If you're passionate about leveraging AI to tackle real-world challenges and eager to make a meaningful impact, we'd love to hear from you. • Healthcare benefits: we cover 100% of the premiums for you and 70% for your family (medical, dental & vision) 🩺, • 401k matching to help you save for your future 💰, • Recharge: 4 weeks of paid time off & 5 additional personal/sick days ⛱️, • Wellness stipend: monthly allowance toward your fitness expenses, favourite activities, or professional development 💪🏼, • Daily team lunches 🥑, • Bi-annual offsites: we'll make sure everyone at Owl has an opportunity to can hang out with teammates IRL at least twice a year 🚀 Salary Range: $150,000 - $230,000 Our salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all Canadian locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, location, and relevant education or training.

Polymarket is the world’s largest prediction market. It’s half "put your money where your mouth is," half search engine for the future. We're growing fast – both in terms of volume (>$1B traded so far this year) and adoption as an alternative news source. Our ambition is to become a ubiquitous beacon of truth in global media and we need your help adding fuel to the fire. Polymarket is looking for a world-class backend engineer to join our platform engineering team as we scale. The ideal candidate is obsessed with performance, security, and scalability—someone who can architect and optimize high-throughput systems with cutting-edge infrastructure. You will play a key role in building and maintaining the foundation that powers our prediction markets, ensuring reliability and efficiency as we continue to grow. We're looking for an experienced individual contributor who enjoys working on deeply technical problems and optimizing mission-critical infrastructure. * Architect & build backend systems. You'll design, implement, and maintain high-performance backend services and APIs that handle large-scale transactions and real-time data. * Optimize performance & scalability. You’ll push the limits of our system’s throughput and efficiency, ensuring seamless operation at scale. * Enhance security & reliability. You’ll implement best practices for secure, fault-tolerant, and highly available distributed systems. * Cross-company collaboration. You’ll collaborate with front-end engineers, designers, and stakeholders across the company to deliver a fully integrated user experience. * Contribute to code reviews. You'll play a critical role in maintaining the high quality of our codebase by providing feedback and suggestions on others' work during code review sessions. * Participate in research & innovation. You’ll stay at the forefront of blockchain-based trading technologies, exploring new solutions to improve our platform. * Interface with Customers. You’ll communicate directly with customers, providing support and gathering feedback. * 8+ years of experience in backend development * Experience architecting and developing solutions to ambiguous problems with significant impact and high usage * Master-level proficiency in systems programming languages like Golang, Rust, or C++ * Strong knowledge of database systems and internals (e.g., PostgreSQL, MongoDB) * Experience with cloud platforms (e.g., AWS, GCP) and infrastructure as code (e.g., Terraform, Ansible) * Excellent problem-solving and communication skills * (Plus) Blockchain-specific backend experience (e.g., working on BFT consensus engines, event indexing systems, libp2p) * (Plus) Experience with Ethereum roll-up technologies (e.g., Arbitrum Nova, Optimism) * (Plus) Open source contributor * (Plus) Active participant on ___ (Plus) Active participant on * Competitive salary & equity * Unlimited PTO, Health, Vision, & Dental coverage * 401k match * Hardware setup — new MacBook Pro, big display, & accessories.

The Role We are looking for a full-stack software engineer to build applications that accelerate the deployment and optimize the operation of microgrids. You'll report to our Software Architect and play a key role in developing our distributed energy solutions on AWS. This role will be hybrid in our New York City office (Union Square area). \n Key responsibilities will include: • Develop web applications with React and MaterialUI, • Implement APIs using Python, Django/FastAPI, • Write clean, efficient, and well-documented code, • Collaborate with product management, design, and other stakeholders, • Apply software engineering principles to analyze, optimize, and improve operational performance, • Design and develop test cases and implement automated testing, • Contribute to scalable and robust data architectures using PostgreSQL, • Apply optimization algorithms to improve microgrid efficiency and cost-effectiveness The Ideal Candidate • Bachelor’s degree in computer science or related field preferred, • 5+ years of Python and JavaScript development experience, • Experience in cloud-based software development (AWS), • Experience with React/MaterialUI, Django/FastAPI, and PostgreSQL, • Experience designing APIs (OpenAPI/Swagger), • Working knowledge of distributed energy concepts, • Comfortable with financial calculations, • Ability to understand utility rate structures, • Strong problem-solving and analytical skills, with a focus on operational optimization at scale., • Experience with modern cloud software stacks, containers, scalable architectures, and data storage, • Experience with energy management systems, • Experience at an energy company, with a plus for renewables or distributed energy, • Any LLM and AI experience would be great! \n This is a great opportunity to have a long-term impact on a fast-paced, private equity backed growth business. Some of the core virtues embraced by Scales’ employees include: · Do the Right Thing · Act Like an Owner · Hustle · Demand Results · Go Together · Evolve or Disappear We offer a competitive compensation package and a comprehensive benefits program including medical benefits, paid vacation and holidays, and 401K matching. About Scale Microgrids Scale Microgrids (“Scale”) is a fully integrated distributed energy platform focused on designing, implementing and financing innovative distributed clean energy solutions. Through its leading technical expertise and access to scale capital, Scale helps its customers transition to a decentralized energy future by providing and financing sustainable, cost-effective, and resilient power solutions. Scale has its own proprietary microgrid solution which provides customers with cheaper, cleaner and more reliable power, and also partners with third party developers to acquire and/or finance a broader range of distributed energy assets. Scale is backed by EQT, a firm with ~$250B in assets, bringing a depth of experience, resources, and capital that will enable Scale to continue pursuing our vision of powering the world with distributed energy. The investment enables Scale to own and operate billions of dollars in distributed generation assets. To learn more about Scale Microgrids, please visit ___. About EQT EQT is a leading purpose-driven global investment organization with EUR 246 billion in total assets under management, divided into two business segments: Private Capital and Real Assets. EQT owns portfolio companies and assets in Europe, Asia Pacific, and the Americas and supports them in achieving sustainable growth, operational excellence, and market leadership. To learn more about EQT, please visit ___. Scale strives to attract and retain a workforce that reflects the composition of our customer base and communities. We are committed to providing a work environment that provides everyone with equal access and opportunity to contribute and drive meaningful outcomes. We encourage applicants from all backgrounds to apply and will consider qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

This role is ideal for ambitious TypeScript engineers with entrepreneurial goals. We are looking for a TypeScript expert to lead the development of Fern’s TypeScript SDK generator. Your work will directly influence the experience of thousands of developers using SDKs for companies like ___, ___, ___, ___, and more. You'll define what high quality looks like in TypeScript SDKs and help set the standard for the broader TypeScript community. Many of us are former or future founders, and this is an opportunity to scale a company from $1M to $10M ARR while partnering with fast-growing tech companies shaping the future of software. We value in-person collaboration and work out of our office in the Williamsburg neighborhood of Brooklyn. Sound like you? Get in touch. * Define TypeScript best practices. You’ll set the tone for how a modern TypeScript SDK should feel — readable, idiomatic, and a joy to use. We’re constantly raising the bar to make our SDKs the best in the industry. This is more than code generation; it's about crafting TypeScript libraries that developers trust and love. * Build out our compiler. You'll own core components of our ___, defining the primitives that power every one of our SDKs. You’ll implement new capabilities like ___ and ___, and push the boundaries of what a generated SDK can offer. * Engage with the TypeScript community. You’ll stay on top of modern TypeScript tools and frameworks, incorporate best practices, and work directly with developers through GitHub issues and community forums to evolve the SDK based on real-world needs. * Build our team. You'll work closely with our CEO and CTO to recruit and mentor new engineers as we scale. * Deep experience with modern TypeScript tools, such as ___, ___, and ___. * Strong grasp of TypeScript’s evolving ecosystem — from runtimes like ___ and ___ to emerging standards like ___. * Enthusiasm for shaping language communities, like ___, our C# engineer who ___ with the .NET team. * An eye for crafting a great developer experience. * (Bonus) You've worked in a high-growth SaaS company * (Bonus) Experience working with the OpenAPI specification, Conjure (Palantir), or Smithy (AWS) * Kind teammates who work hard * First-hand experience building an early-stage startup * Living proximity bonus of $18,000 per year if you choose to live near the office * Meals (breakfast, lunch, and dinner) at the office * Health, dental, and vision insurance * Unlimited vacation * Domestic and international team ___ Domestic and international team * Microservices: Express (Node.js), FastAPI (Python) * Postgres + Prisma ORM (Database) * Anthropic + Bedrock (LLM) * Fern (API) * AWS (Cloud) * Phone screen with a founder * Three interviews: one coding, one decomp, one behavioral * Onsite with our team

Tatari is on a mission to revolutionize TV advertising. We work with some of your favorite disruptor brands—like Calm, Vuori, Rocket Money, and hundreds more—to grow their business using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience. Our technology and services are pushing the industry forward, enabling businesses of any size to advertise on TV. Named one of the 16 Hottest Ad Tech Companies by Business Insider and___ by Inc. Magazine, Tatari is experiencing rapid growth. Our executive team is comprised of former founders and senior leaders at fast-rising startups like Shazam, TrueCar, AdapTV, and LiveRail and larger, more established tech companies like Amazon, Google, Meta, Microsoft, and Yahoo. We’re looking for Full-Stack Engineers to join either our Reporting or Campaign Manager teams. You’ll work closely with product managers, business analysts, and data scientists to deliver robust, scalable applications that drive measurable business outcomes. Our stack is modern and pragmatic: TypeScript + React on the frontend; Python, SQLAlchemy, GraphQL (Graphene) on the backend. Full-stack engineers at Tatari are empowered to own features end-to-end, from architecture to delivery. We value engineers who are curious, collaborative, and eager to leverage AI tooling—both as a productivity booster and as a core part of the products we build. • About Campaign Manager: The Campaign Manager team builds and maintains the tools that enable clients and internal teams to create, manage, and optimize TV ad campaigns. Our focus is on intuitive user experiences, powerful automation, and seamless integrations with data and media partners. We’re continuously evolving our platform to support new channels and advanced AI-driven optimizations., • About Reporting: The Reporting team is responsible for the analytics and insights platform that gives clients and internal stakeholders a clear view of campaign performance. We build interactive dashboards, real-time data pipelines, and AI-powered insights to help users make smarter decisions faster. Our work is at the intersection of data engineering, visualization, and user-centric design., • Translate product and business requirements into high-quality, full-stack applications and systems., • Participate in technical architecture discussions and peer code reviews, advocating for best practices and maintainable solutions., • Collaborate cross-functionally with data scientists, business analysts, media buyers, peer engineers, and product managers., • Contribute to the evolution of our engineering culture by mentoring teammates, sharing knowledge, and championing new technologies (including AI/LLM tools)., • Help design and deliver features that will be used by AI agents or as part of AI/LLM-driven workflows., • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field—or equivalent practical experience., • 3+ years of experience building production-grade, full-stack applications., • Proficiency with modern frontend technologies, especially React and TypeScript., • Strong backend experience with Python, SQLAlchemy, and GraphQL (Graphene or similar frameworks)., • Solid understanding of relational databases and REST/GraphQL API design., • Experience delivering software in a collaborative, agile environment., • Excellent communication skills and a collaborative, team-first mindset., • Openness to leveraging AI tools (e.g., LLMs, code assistants) and a desire to build software that integrates with or serves AI/LLM applications., • Bonus: Experience with cloud platforms (AWS, GCP), containerization (Docker), or CI/CD pipelines., • Bonus: Familiarity with observability tools, automated testing, and performance optimization., • Demonstrated ability to deliver features that are robust, scalable, and maintainable., • Passion for learning and adopting new technologies, especially in the rapidly evolving AI/LLM space. Big plus for any familiarity with prompt engineering, LLM API integration, or building tools that assist or are assisted by AI agents., • Comfort with rapid prototyping and iterative development in ambiguous or emerging problem spaces., • Track record of mentoring others and elevating team performance. Benefits: • Total compensation ($120,000 - $175,000), • Equity compensation, • Health insurance coverage for you and your dependents, • 401K, FSA, and commuter benefits, • $150 monthly spending account, • $1,000 annual continued education benefit, • $500 WFH reimbursement, • Unlimited PTO and sick days, • Monthly Company Wellness Day Off, • Snacks, drinks, and catered lunches at the office, • Team building events, • Hybrid RTO of 2 days per week. THIS IS AN IN-OFFICE POSITION At Tatari, we believe in cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued, and diversity is celebrated. #LI-HYBRID

As a Senior Frontend Software Engineer at Regard, you’ll be involved in all stages of the product development and deployment lifecycle: participate in idea generation, planning, design, prototyping, execution, deployment, and iteration of new and existing features. You’ll collaborate closely with design, clinical, and product colleagues to bring new features and products to life. Your primary objective will be to develop high-quality software solutions that meet user needs and align with the organization’s business goals. This will involve analyzing requirements, designing robust architectures, writing efficient code, and conducting thorough testing. As a Senior Frontend Software Engineer, you will have the responsibility to drive projects forward, mentor junior team members, and contribute to continuous improvement initiatives. By delivering innovative and reliable software, you will contribute to the success of our organization and make a meaningful impact in the industry. About Regard Our mission is to bring world-class healthcare to everyone. Regard is the world’s first comprehensive, automated diagnosis tool. Regard streamlines clinical and revenue cycle efforts to dramatically improve hospital finances, patient safety, and physician happiness. We are excited by challenges, mission-oriented work, and meaningful relationships. We work closely with some of the top health systems in the country and are leading the change that healthcare - one of the largest and most inefficient industries in the world - needs. We want you to join us. • Collaborate with product and design team members to best design a solution balancing speed to market, user experience, business goals, and technical architecture quality, • Design and improve the front end architecture for your area of responsibility, • Drive front end development practices, patterns, and processes along with the other Regard front end experts, • Mentor and review code from less experienced developers in the front end codebase, • Maintain and improve the quality of the codebase and tooling in your area of responsibility by proactive fixes and improvements and through identifying and proposing larger projects to improve the front end codebase, • Participate in operational activities supporting product areas you own including on-call, monitoring, and production support, • Contribute across the stack (API layer, etc) where necessary to unblock projects, • BS in Computer Science or equivalent experience, • 6+ years using React & Typescript to build front end applications in a production environment, • Expertise in web development tooling and frameworks used for modern web applications (webpack, node, npm/yarn, jest, etc), • Experience diving into the API as necessary to move a project forward, • Expertise in front end testing methodologies and frameworks and expertise in end-to-end testing frameworks like Cypress and Selenium, • Strong understanding of front end performance and observability needs with the ability to debug and diagnose complex front end issues independently, • Able to participate in on-call operational support for their areas of responsibility, • Able to travel up to 4 weeks a year for company co-working and/or retreat weeks, • Strong verbal and written communication skills, • Demonstrated ability to contribute and dive into cloud services, CI, and infrastructure as code to drive development and deployment processes in AWS, • Experience in healthcare and understanding of healthcare terminology and needs, • Experience working in an enterprise SaaS technology company, • Exposure to startup and/or high growth environments, • For this role, Regard is currently only considering candidates who are authorized to work in the US without visa sponsorship, and are within the New York City metro area, • We expect our Engineers to be in the office at least 2 days per week. We may request more frequent in-office work during the onboarding period, • We will provide relocation assistance to anyone who does not already reside in the NYC metro area, • We prefer hiring people within commuting distance of our NYC office because we value getting together in person regularly, • For those who enjoy working from our Manhattan office on a more regular basis, we offer catered lunches and other fun perks, • Additionally, hybrid employees have the flexibility to work from locations outside of their home office from up to 6 weeks per year, • Eligible for equity, • 99% employer paid health benefits (Medical, Dental, and Vision) + One Medical subscription, • 18 PTO days/yr + 1 week holiday break, • Annual $750 learning & development stipend, • Company-sponsored team retreat + social events

The user interface for universal knowledge capture. We want every atom of information that our users need to be at their fingertips. Designed to be generally capable– it can tackle even the most complex tasks, citing answers over any amount of sources. By showing its work, Hebbia empowers users to collaborate with AI on each step and validate responses instead of blindly trusting them. Our mission is to put capable AI in the hands of 1 billion people by 2030. Hebbia enables leading finance and legal firms with advanced reasoning, copiloting and retrieval capabilities - unlocking meaningful insights for meaningful use cases. The Agents team builds everything from core document understanding capabilities to co-piloting experiences for matrix and deep, multi-source research. We’ve built our own agentic frameworks powered by distributed systems built for scale. We don’t build for one-off success. We build steerable, reliable and explainable agentic systems. And we build these systems for the scale of data our customers bring to the table. Our goal is to unlock the unknowable unknown for customers all over the world. We want to build a product that becomes indisposable to our customers and as delightful as your favorite consumer product. We move fast and build first of their kind systems. Our team works in person 5 days a week at our SoHo office in NYC. What we’ve built: • A ___ powering everything from deep research capabilities to copiloting interfaces paired with distributed systems infrastructure for long running agentic tasks., • The world’s most powerful and scalable LLM inference engine - a distributed, asynchronous DAG orchestrator capable of incorporating live graph mutations, cooperating in tandem with our___, • The world’s most powerful and scalable LLM inference engine - a distributed, asynchronous DAG orchestrator capable of incorporating live graph mutations, cooperating in tandem with our, • Elastically scaling data representation and metadata generation → powering the most effective private data retrieval systems., • ___solving problems from buy side company diligence to multi billion dollar M&A. A backend engineer at Hebbia blends expertise in systems, application layer software, and data modeling to build highly efficient software solutions. You will be responsible for leveraging the latest software and agentic solutions and integrating product experience with powerful distributed systems. You’ll help protect Hebbia’s technical edge via elegant software design, efficient data communication, and sophisticated integrations. We value engineers who move fast, hold themselves accountable to quality, and are detail-oriented. • Own critical system components: Take complex requirements and turn them into robust, scaled solutions that solve real customer needs., • Unlock O(1) universal indexing: Build and iterate on our high-scale document build system that enables constant time latency for indexing any content in the world, regardless of data volume., • Drive performance optimization: Architect and implement performance-tuning solutions to ensure our systems operate efficiently at scale, minimizing latency and maximizing throughput across millions of documents., • Mentor and guide: Provide technical leadership, mentorship, and guidance to junior engineers, fostering a culture of learning and growth., • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. A strong academic background with coursework in data structures, algorithms, and software development is preferred., • 5+ years software development experience at a venture-backed startup or top technology firm, with a focus on backend software engineering., • Proficiency in building backend and API systems using technologies such as Python, Java, or Go., • Extensive experience with cloud platforms (e.g., AWS), • Working experience with one or more of the following: Kafka, ElasticSearch, PostgreSQL, and/or Redis, • Ability to analyze complex problems, propose innovative solutions, and effectively communicate technical concepts to both technical and non-technical stakeholders., • Proven experience in leading software development projects and collaborating with cross-functional teams. Strong interpersonal and communication skills to foster a collaborative and inclusive work environment., • Enthusiasm for continuous learning and professional growth. A passion for exploring new technologies, frameworks, and software development methodologies., • Embraces rapid prototyping with an emphasis on user feedback, • Autonomous and excited about taking ownership over major initiatives, • Bonuses:, • Experience building agentic systems or LLM enabled products., • Frequent user of AI products, especially during the development lifecycle (i.e. Cursor, Claude Code, etc). The salary range for this role is $160,000 to $300,000, covering levels from junior to principal. Final leveling is determined through our assessment process, and exceptions to this range may be made for candidates with qualifications that fall outside our standard framework. Life @ Hebbia PTO: Unlimited Insurance: Medical + Dental + Vision + 401K Eats: Catered lunch daily + doordash dinner credit Parental leave policy: 3 months non-birthing parent, 4 months for birthing parent Fertility benefits: $15k lifetime benefit New hire equity grant: competitive equity package with unmatched upside potential #LI-Onsite

Our Mission Healthcare should work for patients, but it doesn’t. In their time of need, they call down outdated insurance directories. Then wait on hold. Then wait weeks for the privilege of a visit. Then wait in a room solely designed for waiting. Then wait for a surprise bill. In any other consumer industry, the companies delivering such a poor customer experience would not survive. But in healthcare, patients lack market power. Which means they are expected to accept the unacceptable. Zocdoc’s mission is to give power to the patient. To do that, we’ve built the leading healthcare marketplace that makes it easy to find and book in-person or virtual care in all 50 states, across +200 specialties and +12k insurance plans. By giving patients the ability to see and choose, we give them power. In doing so, we can make healthcare work like every other consumer sector, where businesses compete for customers, not the other way around. In time, this will drive quality up and prices down. We’re 17 years old and the leader in our space, but we are still just getting started. If you like solving important, complex problems alongside deeply thoughtful, driven, and collaborative teammates, read on. Zocdoc’s greatest asset is its people. As a Senior Staff Software Engineer, you will play a pivotal and transformative role in revolutionizing healthcare by architecting and delivering highly impactful products that meet the complex needs of both providers and patients. You'll drive technical strategy and execution across multiple initiatives, collaborating deeply with cross-functional teams, including Product, Data, and Design, to bring groundbreaking features to market, driving Zocdoc's mission forward. You'll provide exceptional technical leadership, establish architectural patterns, and significantly influence the technical direction of the organization, mentoring engineers to foster a culture of technical excellence and best practices. • Inspired by the opportunity to significantly and broadly positively impact the healthcare experience for millions of customers and providers., • Passionate about designing and building highly scalable, resilient, and performant platforms with the latest technologies, and excited about pioneering new and innovative products that push technological boundaries., • A visionary product-driven leader with a relentless focus on user needs, and excited to partner closely with cross-functional teams leading strategic projects from early ideation through successful launch and iteration., • A fervent champion of engineering fundamentals and enjoy setting and driving adoption of best practices in code health, testing, maintainability, and architectural excellence across multiple organizations and teams., • A proven leader who mentors, coaches, and grows principal-level talent, cultivates innovation, and drives complex cross-collaboration across multiple, interdependent teams., • A believer that diverse and inclusive teams and cultures are non-negotiable., • An entrepreneur with strong ownership who can thrive and provide clarity in highly ambiguous and fast-changing environments., • Taking ultimate technical ownership of Zocdoc’s expansion into several new and innovative offerings, including defining technical roadmaps, leading complex prototyping efforts, and spearheading 0-1 projects that span across Zocdoc’s entire technology stack., • Analyzing and decomposing highly complex and ambiguous product challenges to drive sound, scalable, and forward-thinking architectural and design decisions., • Working hands-on with your team and personally contributing to and guiding the shipping of production code using C#, React, AWS technologies to millions of users, often autonomously or leading small pods., • Collaborating with our agile team of dedicated and brilliant engineers, product managers, and designers, often acting as the primary technical liaison for major initiatives., • Mentoring your peers and colleagues at all levels by giving thoughtful feedback, with the notion that helping others means learning and growing yourself, and developing future technical leaders., • Continuously improving our ability to deliver quality solutions through evolving engineering process, advocating for technical capabilities, and driving strategic investments in our platforms., • Successfully architected and shipped high-impact, complex, user-facing products that have seen significant adoption, with deep expertise across multiple areas of the technology stack and complex system integrations., • Demonstrated history of exceptional and comprehensive system design and architectural leadership skills., • Significantly improved developer productivity, efficiency, and velocity across multiple teams by setting up and evangelizing best practices for coding, testing, deployment, observability, and developer tooling., • Successfully mentored and significantly influenced the growth of other engineers in the past, and have encouraged your peers to use engineering best practices, often acting as a technical lead for multiple engineers., • Been an outstanding and persuasive communicator capable of delving into highly technical project details and facilitating complex discussions on architectural and technical aspects. You should also be adept at presenting strategic technical solutions at an appropriate level of abstraction for a diverse cross-functional audience, including executive-level non-technical stakeholders., • A growth mindset and inspire excellence, acting as a multiplier for your team and the broader engineering organization., • Experience successfully working with a distributed workforce preferred. Zocdoc is a mission-driven organization dedicated to building teams as diverse as the patients and providers we aim to serve. In the spirit of one of our core values - Together, Not Alone, we are a company that prides itself on being highly collaborative, and we believe that diverse perspectives, experiences and contributors make our community and our platform better. We’re an equal opportunity employer committed to providing employees with a work environment free of discrimination and harassment. Applicants are considered for employment regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity, gender expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or any other class protected by applicable laws. Zocdoc is a mission-driven organization dedicated to building teams as diverse as the patients and providers we aim to serve. In the spirit of one of our core values - Together, Not Alone, we are a company that prides itself on being highly collaborative, and we believe that diverse perspectives, experiences and contributors make our community and our platform better. We’re an equal opportunity employer committed to providing employees with a work environment free of discrimination and harassment. Applicants are considered for employment regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity, gender expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or any other class protected by applicable laws.

The user interface for universal knowledge capture. We want every atom of information that our users need to be at their fingertips. Designed to be generally capable– it can tackle even the most complex tasks, citing answers over any amount of sources. By showing its work, Hebbia empowers users to collaborate with AI on each step and validate responses instead of blindly trusting them. Our mission is to put capable AI in the hands of 1 billion people by 2030. Hebbia enables leading finance and legal firms with advanced reasoning, copiloting and retrieval capabilities - unlocking meaningful insights for meaningful use cases. The Agents team builds everything from core document understanding capabilities to co-piloting experiences for matrix and deep, multi-source research. We’ve built our own agentic frameworks powered by distributed systems built for scale. We don’t build for one-off success. We build steerable, reliable and explainable agentic systems. And we build these systems for the scale of data our customers bring to the table. Our goal is to unlock the unknowable unknown for customers all over the world. We want to build a product that becomes indisposable to our customers and as delightful as your favorite consumer product. We move fast and build first of their kind systems. Our team works in person 5 days a week at our SoHo office in NYC. What we’ve built: • A ___ powering everything from deep research capabilities to copiloting interfaces paired with distributed systems infrastructure for long running agentic tasks., • The world’s most powerful and scalable LLM inference engine - a distributed, asynchronous DAG orchestrator capable of incorporating live graph mutations, cooperating in tandem with our___, • The world’s most powerful and scalable LLM inference engine - a distributed, asynchronous DAG orchestrator capable of incorporating live graph mutations, cooperating in tandem with our, • Elastically scaling data representation and metadata generation → powering the most effective private data retrieval systems., • ___solving problems from buy side company diligence to multi billion dollar M&A. As a Frontend Software Engineer on the Agents team, you’ll play a critical role in shaping the user experience of our core products. Our biggest challenge is building agentic interfaces that provide enterprise control with consumer simplicity. You’ll be responsible for owning major product features end-to-end: from early design collaboration through to implementation, testing, and launch. You’ll work closely with a tight-knit, cross-functional team of engineers, designers, product managers, and domain experts to architect and ship sleek, scalable interfaces that help our users solve incredibly complex workflows — without the complexity. • Be an owner. We are a small and growing team relying on each and every engineer to provide significant coverage., • Build without prior art. Agentic interfaces do not have templates or pre-existing guidelines to rinse and repeat - you will be setting the standard for an industry., • Own critical system components. Take complex requirements and turn them into robust, scaled solutions that solve real customer needs., • Unlock meaningful customer value. Our customers aren’t using Hebbia for the gimmick - they unlock market moving value. You will be responsible for unlocking this Alpha., • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. A strong academic background with coursework in data structures, algorithms, and software development is preferred., • 5+ years software development experience at a venture-backed startup or top technology firm., • Proficiency in React, Typescript, and popular frontend frameworks for component design and state management., • Deep expertise in one or multiple: full-stack development, frontend engineering, web development, UX/UI engineering., • Knowledge of cloud platforms and application deployment platforms (e.g., AWS, Vercel), • Demonstrated awareness of best practices in UI architecture and development, • Problem-solving and analytical skills: Ability to analyze complex problems, propose innovative solutions, and effectively communicate technical concepts to both technical and non-technical stakeholders., • Leadership and teamwork: Proven experience in leading software development projects and collaborating with cross-functional teams. Strong interpersonal and communication skills to foster a collaborative and inclusive work environment., • Continuous learning mindset: Enthusiasm for continuous learning and professional growth. A passion for exploring new technologies, frameworks, and software development methodologies., • Embraces rapid prototyping with an emphasis on user feedback, • Autonomous and excited about taking ownership over major initiatives. The salary range for this role is $160,000 to $300,000, covering levels from junior to principal. Final leveling is determined through our assessment process, and exceptions to this range may be made for candidates with qualifications that fall outside our standard framework. Life @ Hebbia PTO: Unlimited Insurance: Medical + Dental + Vision + 401K Eats: Catered lunch daily + doordash dinner credit Parental leave policy: 3 months non-birthing parent, 4 months for birthing parent Fertility benefits: $15k lifetime benefit New hire equity grant: competitive equity package with unmatched upside potential #LI-Onsite

Who We Are: At Galaxy we are building products and services to help the world invest in economic progress. We believe crypto and blockchain innovations will permeate and improve all aspects of our global economy. Our vision is a society where value and ownership flow as freely as information. Galaxy is a digital asset and blockchain leader helping institutions, startups, and individuals access and navigate the crypto economy. As one of the most well-capitalized and trusted companies in the industry, we provide platform solutions custom-made for a digitally native ecosystem across three complementary operating businesses: Global Markets, Asset Management, and Digital Infrastructure Solutions. Our offerings include, amongst others, trading, lending, strategic advisory services, institutional-grade investment solutions across passive, active and venture strategies, proprietary bitcoin mining and hosting services, network validator services, and the development of enterprise custodial technology. Galaxy’s CEO and Founder Michael Novogratz leads a team of crypto enthusiasts, and institutional veterans focused on the future of finance and Web3. The Company is headquartered in New York City, with global offices across North America, Europe and Asia. Additional information about the Company's businesses and products is available on . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. • Seek Excellence., • Be Selective To Be Effective., • Be Highly Aligned, Loosely Coupled., • Disagree Transparently., • Encourage Independent Decision-Making., • Build Dream Teams. Who You Are: We are looking for talented software engineers to join our US Lending technology team to build the next generation of crypto Lending systems. You will be working alongside all facets of the business, from Trading to Risk, to help develop our Prime services platform. You can work independently, have strong analytical and problem-solving skills, and a desire to own issues and see them through to resolution. What We’re Looking For: • 10+ years of relevant experience, • Excellent core Java skills, • Knowledge of Spring and Kafka, • Experience developing microservices, • Code optimization and profiling capabilities Bonus Points: • Development experience with OMS and Risk Systems, • Knowledge of traditional financial products, • Options, • Forwards, • Futures, • Docker / Kubernetes / AWS, • Knowledge of crypto, • Knowledge of crypto products, • Perpetual Forwards (perps), • On-Chain Borrows / Lends What We Offer: • Competitive base salary and discretionary bonus, • Flexible Time Off (i.e. unlimited paid vacation days), • Company paid Holidays (11), • Company paid sick leave, • Company-paid health and protective benefits for employees, partners, and other dependents, • 3% 401(k) company contribution, • Generous paid Parental Leave, • Free virtual coaching and counseling sessions through Headspace, • Opportunities to learn about the Crypto industry, • Free daily snacks in-office, • Smart, entrepreneurial, and fun colleagues, • Employee Resource Groups Apply now and join us on our mission to engineer a new economic paradigm. The base salary ranges included below will be commensurate with candidate experience, expertise and local market. Final offer amounts are determined by multiple factors, including candidate experience and expertise. At Galaxy, we maintain a total compensation philosophy which consists of a competitive base salary, annual bonus, and equity incentives. Base Salary Range $175,000 - $200,000 USD Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact ___

PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to massively accelerate physics simulations and enable a new frontier of optimization opportunities in design and engineering. Born out of numerical physics and proven in Formula One, we help our customers radically improve their concepts and designs, transform their engineering processes and drive operational product performance. We do this in some of the most advanced and important industries of our time – including Space, Aerospace, Medical Devices, Additive Manufacturing, Electric Vehicles, Motorsport, and Renewables. Our work creates positive impact for society, be it by improving the design of artificial hearts, reducing CO2 emissions from aircraft and road vehicles, andincreasing the performance of wind turbines. The Role As our product offering continues to expand and increases in adoption, seamless customer onboarding, as well as the collection and integration of feedback, will be critical to ensure its ongoing success. As a member of our delivery teams, you’ll be responsible for facilitating our customers’ adoption of our Platform and libraries. You’ll deploy your expertise across multiple customer projects, working closely with their engineerings and IT professionals to ensure compliance with their security requirements and develop solutions to integrate with their existing CAE, PLM and/or control systems. Further, where there is the need to introduce new Platform features, or create bespoke applications backed by our Platform and libraries, you will design, develop and deploy these, working closely with delivery colleagues and the customer to rapidly deliver impact. \n What you will do • Work directly with our customers and internal users to understand the technical requirements for projects and products, • Own the deployment of custom-tailored software solutions with small, high performing teams building AI solutions for advanced engineering applications, • Work within delivery teams in a cross functional capacity, taking uses cases and requirements from clients and end-users to improve the product and platform, • Drive the technical direction of PhysicsX’s proprietary platform using learnings from customer interactions and rapid prototyping of solutions, • Continuously apply and improve software engineering best practices and standards and coach your colleagues in their adoption What you bring to the table • 1+ years of relevant work experience., • Excellent collaboration and communication skills - with teams and customers alike, • Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly, • Software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps), • Experience using public cloud platforms, such as AWS, Azure and GCP, • Familiarity with high-level machine learning concepts (eg. model training, model inference, hardware accelerations) What we offer • Be part of something larger: Make an impact and meaningfully shape an early-stage company. Work on some of the most exciting and important topics there are. Do something you can be proud of, • Work with a fun group of colleagues that support you, challenge you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields and solve truly challenging problems in science and engineering. If you are similarly capable, caring and driven, you'll find yourself at home here, • Experience a truly flat hierarchy. Voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo, • Work sustainably, striking the right balance between work and personal life., • Receive a competitive compensation and equity package, in addition to plenty of perks such as generous vacation and parental leave, complimentary office food, as well as fun outings and events, • Work in a flexible setting, at our lovely London Shoreditch office, and a good proportion from home if so desired. Get the opportunity to occasionally visit our customers' engineering sites and experience first-hand how our work is transforming their ways of working, • Use first-class equipment for working in-office or remotely, including HPC \n$120,000 - $240,000 a year\n We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.

Title: Senior developer - Full Stack Type: Contract – 5+ Months Location: REMOTE (Some travel to South Plainfield, NJ and Chelmsford, MA) Key: Node, Mongo, Restful Services, Bitbucket/github deployment background • 3+ years of hands on experience with Java Script, Angular, • Hands on experience with NodeJS, MongoDB with bitbucket/github deployment, • Building restful services and working with linux, AWS, S3 is needed. Note: If interested please send your updated resume and include your rate requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us. We look forward to hearing from you at the earliest!