Trabajos aws en Bayonne, NJ - Page 10Crear alertas

Job Description Merge enables B2B companies to add hundreds of integrations to their products, making it easy to access and sync their customers' data. We offer Unified APIs that provide normalized data across key software categories, including accounting, HRIS, ATS, CRM, file storage, and ticketing. Thousands of companies trust Merge to power their integrations, enabling them to unblock sales, reduce customer churn, accelerate time to market for new products, and save engineering costs and resources. As a core component for the future of modern B2B AI infrastructure, Merge is building the data integration layer that powers the next generation of AI products and companies. By solving the complex challenges of data access and normalization, Merge accelerates the development and deployment of AI solutions while ensuring the highest standards of security and performance. Who are we looking for? Merge is looking for an Engineering Manager to manage our expansion engineering team. Expansion engineering is a backend team that powers the core sync engine at the heart of Merge, which is how we process data from all the different sources we integrate into. What you will do: • Own and manage one of our core engineering teams of 5-10 engineers, creating a culture of quality, excellence, and growth, • Work cross-functionally with product, engineering, sales, finance, leadership, and other teams to execute company goals, • Build and grow the roadmap for your team while considering strategic direction, resource allocation, organizational alignment, and more, • 2+ years experience managing and hiring engineers on teams ranging from 5-10 reports, with 6+ total years of experience in fast paced engineering roles, • Experience managing a high-performance team of both junior and senior talent in fast paced, startup-like environments, • Familiarity with technologies, programming languages, and frameworks, such as Django, Python, React, Postgres, SQL, AWS, RDS, Docker, and Kubernetes, • Experience planning team roadmaps and goals as a product-minded engineering leader, • The cash compensation range for this role is $200,000-245,000. LinkedIn Top Startups 2023 Forbes Next Billion Dollar Startups 2023 G2 Fastest Growing Products 2024 Benefits • Unlimited PTO + 10 company holidays, • Pre-Tax commuter benefits, • 100% covered health, vision, and dental insurance, • 401K Plan, • $200 one-time home office stipend, • In office snacks and free dinner when working past 7pm

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: AI/ML (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence:Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What Youll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

We are looking for a highly skilled Product Manager to oversee the transition and optimization of Amazon systems using AWS tools equivalent to Workday. The ideal candidate will have expertise in Workday functionalities, gap analysis, and the impact of migration on HR and Finance processes. They must possess strong product management experience, excellent communication skills, and prior experience with data conversions and system transitions. Key Responsibilities: • Lead the analysis and implementation of AWS-based tools equivalent to Workday., • Conduct gap analysis to identify missing functionalities and assess business impact., • Evaluate Workday functionalities and determine what features will be lost or need replacement., • Collaborate with HR and Finance teams to ensure a seamless transition with minimal disruption., • Develop and maintain product roadmaps, prioritizing features based on business needs., • Work closely with engineering teams to define technical requirements and integrations., • Manage data conversions, ensuring accurate migration from legacy systems to new platforms., • Coordinate with stakeholders, ensuring smooth communication and expectation management., • Monitor system performance and user adoption post-implementation, addressing any issues. HR/Finance Knowledge Required: The ideal candidate should have a solid understanding of HR and Finance processes, including payroll, benefits administration, recruiting, budgeting, and financial reporting. Familiarity with how these processes integrate into enterprise systems like Workday is essential. Knowledge of best practices in HR/Finance technology, compliance requirements, and data privacy standards is also crucial for ensuring smooth system migrations and effective product management. Understanding the specific needs of HR and Finance teams will be key to prioritizing features and ensuring the system meets business objectives. Qualifications & Experience: • Prior experience in Product Management, preferably in enterprise systems or HR/Finance tech., • Strong understanding of Workday functionalities and HR/Finance processes., • Experience conducting gap analysis and identifying alternative solutions., • Familiarity with AWS tools and system migrations., • Hands-on experience with data conversions and system transitions., • Excellent communication and stakeholder management skills., • Ability to work cross-functionally with technical and non-technical teams. Preferred Qualifications: • Experience with large-scale enterprise software migrations., • Knowledge of Workday API integrations and data models., • AWS certifications or relevant cloud experience is a plus.

Title: Senior Data Scientist Location: Remote (EST) Duration: 04 Months Job Description: As a Senior Data Scientist on Institutional Retirement Strategies, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to develop new analytics capabilities for our businesses. The role requires a rare combination of sophisticated analytical expertise, business acumen, strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. Here is what you can expect in a typical day: • Responsible for the hands-on development of advanced data science solutions comprising the portfolio developed by the Lead Data Scientist and the technical requirements specified by the Lead Data Scientist. Perform hands-on data analysis, model development, model training, and model testing., • Write production-level code and partner with machine learning engineers to push development code into production., • Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics techniques., • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines., • Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models., • Generative AI & Natural Language Processing: Experience with modeling and interpreting text analysis including NLP, LLMs (BERT, etc), and Generative AI. Experience in modern Gen AI technologies including RAG, LangChain, LangGraph, vector DB and their application in Institutional Retirement Strategies area., • Statistics and Computing: Exceptional understanding of: Multivariable Calculus, Linear Algebra, Differential Equations, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Knowledge of statistical techniques such as the use of descriptive, inferential, Bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems., • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages., • Programming Languages: Python, SQL.

The Company You’ll JoinAt Qloo, our cutting-edge Taste AI technology leverages extraordinary amounts of data—over half a billion records of public figures, places, and things, plus a globe-spanning consumer behavior and sentiment database—to unearth deep insights about consumer preferences. From understanding global travel trends to curating ___ based on your unique tastes, our Taste AI engine sifts through the noise to find the signals that matter. ___. Read more about our recent Series C funding ___. The Team You’ll Work With Reporting to the Director of Data Engineering, you’ll work cross-functionally across the Engineering organization to emphasize designing and optimizing data processing systems for maximum performance, efficiency, and accuracy. Our team is composed of top-notch engineers and scientists who are passionate about creating data-driven solutions that make a lasting impact. We are a growing team dedicated to advancing Taste AI. Hear what the team has to say – “The team culture at Qloo is highly collaborative and supportive, with a strong emphasis on mutual assistance. Each team member is approachable and committed to lending a hand, creating an environment where everyone feels supported and valued...” - Sreekant, VP of API Engineering. The Impact You’ll HaveYou’ll be playing a pivotal role in creating robust data pipelines that power Taste AI and make the results accessible through our API. You will be responsible for understanding the intricacies of the data sources to architect, develop, and improve our automated data pipelines. Our ideal candidate will immediately provide value by:+ Designing, developing, and maintaining automated data pipelines on Airflow using Python, PySpark, and SQL (Presto/Trino) + Ensuring data quality by being proactive in catching and rectifying quality issues in underlying data+ Collaborating with data scientists and other engineers to define data requirements and structures+ Writing unit tests and conducting system testing to ensure the reliability and integrity of data+ Optimizing data pipelines for maximum speed, scalability, and accuracy+ Staying up to date with emerging trends and technologies in data engineering, data processing, distributed computing, and data quality assurance To be a successful match, you must have:* 2 - 5 years of experience in data engineering* Bachelor's degree in computer science, software engineering, or a related field* Experience with SQL. Experience with Spark would be preferred,but not a requirement* Experience with automating data processing through Python libraries like Airflow* Strong problem-solving and analytical skills with keen attention to detail* Experience with AWS or other cloud platforms* Ability to manage multiple projects simultaneously and meet tight deadlines What We Offer* Competitive salary and equity package, and holistic perks and benefits, including:- 100% health insurance coverage, with ability to join group dental and vision for a nominal fee- Team lunches every Thursday in NYC office- 4% 401K matching- 20 paid time off days- 5 paid sick days- 12 weeks of paid parental leave- 10+ annual company holidays * Opportunities for professional development and growth within a dynamic environment* A supportive and inclusive company ethos where your ideas are valued, your contributions are recognized, and your impact is tangible* The chance to be part of a small but mighty team that's making waves in the industry and shaping the future of technology* Beautiful HQ in Soho, NYC with the opportunity to work in-office, if desired We are open to different backgrounds and tenure for this hire and compensation will be commensurate with experience. Please note that equity may also be included in our total package, depending on role and level.$120,000 - $150,000 a yearWe are open to candidates with different backgrounds and levels of experience. Compensation will be commensurate with experience, and equity may be included in the total package depending on role and level.

Senior Principal AI Solutions Architect. Lead the technical strategy and architecture design for deploying H2O. AWS, Azure, GCP) and on-premises environments, including hybrid and multi-cloud architectures.

US Mobile is on a mission to revolutionize connectivity. Imagine a world where you can go into a single app and buy terabytes of data for every one of your devices: phone, smart devices, car, home broadband, and more. That’s the future that US Mobile is building: a software platform built truly for the 21st century and the age of 5G and IoT, with world class engineering, best-in-class user experience, and features that will define the next generation of connectivity. At the core of it all, we have a team and culture that has been recognized by Forbes as one of the top 500 best startup employers in the US. Our team spans diverse backgrounds, cultures, and stories, with employees coming from 20+ countries. We're a venture-backed company entering hypergrowth, having recently ranked 94th on Inc 5000's fastest-growing private companies in America, and we’re looking for someone exceptional to join our team. Job Description: We’re looking for an AI/ML Engineer who will develop, optimize, and scale machine learning models that power our next generation of user experiences. Working closely with product, engineering, and design, you’ll ensure our ML tools truly address user needs—whether they’re discovering new features, troubleshooting connectivity, or receiving proactive solutions to common issues. The role is based out of our New York office. \n Key Responsibilities: • Design & Deploy Conversational / Multi-Agent LLM Solutions, • Craft multi-agent conversational flows capable of handling a wide range of user requests—both purely informational and action-oriented., • Employ advanced LLM techniques (prompt engineering, context retrieval, multi-step reasoning) to ensure robust, context-aware dialogues, • Multi-Modal & Multi-Model Integration, • Explore different input/output formats (e.g., text, potential voice or image-based flows) to enrich user interactions, • Evaluate different models based on their intended use case, considering both technical capabilities and cost efficiency, • Platform & Pipeline Building, • Work with cross-functional teams to design data pipelines that feed your models real-time or near real-time data, • Implement best practices around model lifecycle management—versioning, containerization, deployment orchestration, etc, • Optimization & Scale, • Ensure the chat system can handle thousands (eventually millions) of concurrent interactions, maintaining low latency and high availability, • Monitor performance, define metrics (latency, user success rate, fallback rate, etc.), and iteratively improve, • Ongoing Innovation & Experimentation, • Remain current on the rapidly evolving AI/ML landscape, especially in generative models, multi-agent orchestration, and knowledge retrieval, • Propose new ways to extend AI across our platform—e.g., advanced personalization, proactive customer engagements, etc. Qualifications: • Core AI/ML Expertise, • 3+ years hands-on experience building and deploying machine learning solutions at scale, • Solid understanding of NLP techniques, including transformer models and embeddings, with hands-on experience using modern tools like Hugging Face, AWS Bedrock, and OpenAI’s API, • Backend & Data Infrastructure, • Proficient in Python or a similar language for data pipelines and model development, • Experience with cloud platforms (AWS strongly preferred), containerization (Docker, Kubernetes), and microservices, • Research & Problem-Solving Mindset, • Up-to-date on AI/ML trends—especially in multi-agent systems, generative modeling, or multi-modal approaches, • Skilled at diagnosing bottlenecks, scaling solutions, and balancing innovation against real-world constraints, • Collaboration & Communication, • Comfortable presenting complex ML concepts to non-technical stakeholders, • Passion for iterative development—able to pivot based on user feedback and product metrics. Bonus Points: • Familiarity with vector search solutions (e.g. Pinecone, Weaviate, or Elasticsearch with vector plugins), • Familiarity with building or deploying large language models and related tooling in the AWS Bedrock ecosystem, • Experience designing or contributing to multi-agent LLM frameworks or orchestrations (e.g., specialized agent-based approaches in advanced NLP) Benefits: • Competitive salary - $180k-240k (NYC based), • Gym reimbursement, • Free cellular service on the best network in the US, • Free lunch in NYC office & fully stocked kitchen, • Metrocard reimbursement, • Flexible working hours \n$180,000 - $240,000 a year\n Think you’d be a great fit? Apply to learn more!

• Unfortunately, no visa sponsorship or transfer will be provided with this position., • If you're up for the challenge, we'd love to hear from you. When you click apply, there will be an application form for you to complete. It should take around 5 to 10 minutes to complete. Cornspring is an innovative start-up FinTech company, with a mission to empower Family Offices and Asset Owners with real-time, AI driven data intelligence and portfolio insights. The tools we are building are solving one of the most complex and valuable challenges in Finance. Our clients operate at the highest levels of global finance, managing billions in assets. Yet, legacy systems fail them: slow, fragmented, and outdated. Cornspring is redefining Family Office services by leveraging state-of-the-art generative AI and Large Language Models to provide unparalleled insights and efficiency to Family Office investment and accounting data. This is a high-ownership environment, and we need exceptional engineers who bring a mix of talent and passion to join us on our incredibly exciting journey. We are currently looking for a top-tier Senior Data Engineer with deep expertise in Python programming in a financial context. This is a pivotal role, where you will be tackling technically challenging problems and working with cutting edge AI technology. You will be reporting to the Head of Data Operations and will be working alongside a team of talented engineers. • You will be responsible for developing and maintaining our ETL pipelines, handling diverse data formats, and ensuring data quality and consistency., • You'll work on automating data processing workflows while implementing robust validation and error handling mechanisms to maintain data integrity., • You will conduct testing on data movement, transformation code, and data components to ensure integrity, accuracy, and high-quality deliverables for all data processing., • You will design and implement data solutions for new initiatives and provide continuous oversight for existing solutions to improve quality and performance., • You will assess and integrate new data sources into pipelines to meet evolving business needs., • You’ll provide technical design and coding assistance to junior team members, ensuring the successful delivery of initiatives., • The role requires a strong expertise in Python data manipulation libraries and a solid understanding of financial data structures., • University degree in Computer Science, Software Engineering or equivalent., • Solid data engineering experience., • Experience designing and maintaining ETL pipelines, integrating data from multiple sources (including APIs)., • Experience working with remote teams., • Knowledge and exposure to Azure and / or AWS., • Competitive salary., • Hybrid working: we work from a beautiful office in Manhattan 2 days a week., • Being part of a revolutionary movement in Family Office technology., • Working with cutting-edge AI and data technologies., • Challenging projects that make a real impact to our sector.

Senior Infrastructure Engineer (L1) ABOUT ACTIVEVIAM If you believe that data analytics can contribute to making Financial Services a more accountable and risk-aware business in an ever-increasing volatile environment, ActiveViam is the right place for you. Founded by a group of industry experts, ActiveViam understands the data analytics challenges faced by financial institutions across trading desks, risk, and compliance. That is why we pioneered the use of high-performance analytics in finance, helping the largest investment banks, asset managers and hedge funds make better decisions, explain results with confidence, and simulate the impact of their decisions. Unlike most BI players, we are not generalists. Our mission is to deliver train of thought analysis on terabytes of data in the most cost-effective way so our customers can explain what happened with confidence and model the scenarios that will optimize their business. We are a pure player specializing in risk data analytics for one of the fastest-moving and most regulated industries with a presence in the world’s leading financial marketplaces – London, New York, Singapore, Hong Kong and Paris. Our 150+ employees take pride in being experts in developing and supporting a purpose-built analytics technology that has been recognized as “FRTB Product of the Year” by Risk and the “Award for Excellence for Regtech, Big Data and Analytics” by Regulation Asia. Choose to be different. Join ActiveViam and make a difference in data analytics for the financial services industry. Role Overview As a key member of ActiveViam’s global infrastructure team, you will architect, implement, and maintain modern, secure, and scalable IT infrastructure to support our business and clients. This role goes beyond day-to-day support—you’ll drive automation, standardization, and continuous improvement of our hybrid cloud environment (Microsoft 365, Azure, and supporting services) while ensuring robust identity, network, and endpoint security. Key Responsibilities • Design, implement, and maintain core infrastructure services across cloud and on-prem environments, including identity management (Azure AD/Entra), endpoint management, and secure networking., • Automate provisioning and configuration using Infrastructure-as-Code and modern management tools (e.g., Intune, PowerShell)., • Harden and monitor security posture, including zero trust principles, endpoint detection & response (EDR), conditional access, and security baselines., • Lead problem resolution for complex infrastructure issues and proactively drive root-cause analysis to prevent recurrence., • Collaborate cross-functionally with R&D, Customer Success, Operations, and IT Infrastructure Team to align infrastructure with business needs and compliance requirements (e.g., ISO 27001, SOC 2, DORA)., • Optimize performance and cost-efficiency of cloud services, storage, and networking., • Contribute to IT strategy, evaluating emerging technologies and advising on standards, policies, and best practices. Qualifications & Experience • Proven experience (3+ years) managing modern IT infrastructure in a hybrid cloud environment., • Strong expertise in Microsoft 365 & Azure, including identity management, conditional access, Intune, and device compliance., • Solid understanding of networking fundamentals (routing, switching, DNS, DHCP, VPN, SD-WAN) and cloud networking concepts., • Proficiency in automation and scripting (PowerShell, Python, or similar)., • Strong grasp of cybersecurity principles and experience implementing security controls in line with frameworks like ISO 27001 or NIST., • Excellent communication skills and ability to work across global teams., • Bachelor’s degree in IT, Computer Science, or equivalent professional experience. Preferred Skills • Cloud certifications (e.g., Azure, Atlassian, AWS Administrator/Architect)., • Experience with containerization (Docker, Kubernetes) or DevOps practices., • Exposure to SIEM/SOAR and advanced monitoring tools., • Familiarity with regulatory frameworks such as SOC 2, DORA, or GDPR.

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. We are looking for a Senior Machine Learning Engineer to join the Personalization team - an area of hardworking engineers that are passionate about understanding what drives user satisfaction with Spotify - and who make impactful changes to recommendation systems to achieve this goal. As an integral part of the squad, you will collaborate with research scientists, data scientists and other engineers across PZN in prototyping and productizing state-of-the-art ML at the intersection of recommendations and long-term user satisfaction. \n What You'll Do • Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development, • Lead collaborations and align across PZN to integrate and A/B test mid-term signals in various recommendation systems, • Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization Who You Are • You have a strong background in machine learning, enjoy applying theory to develop real-world applications, with expertise in statistics and optimization, especially in sequential models, transformer architecture models, and fine-tuning processes for sequential models, • You have hands-on experience with large cross-collaborative machine learning projects and managing stakeholders, • You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages. Experience with TensorFlow, PyTorch, Scikit-learn, etc. is a strong plus, • You have some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our open source API for it - Scio, and cloud platforms like GCP or AWS, • You care about agile software processe Where You'll Be • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have ___, • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have, • This team operates within the Eastern Standard time zone for collaboration \n The United States base range for this position is $176,166 $251,666 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. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

About Arthur At Arthur, we are deeply passionate about building technology to make AI understandable, effective, and fair. Arthur makes machine learning work for enterprises through performance monitoring, explainability, and bias detection. We believe strongly in front-end ethics: building a company and industry where strong performance and a positive human impact are inextricably linked. This position is a rare (and fun!) opportunity to help shape the future of AI and its real-world impact. About the role Arthur is looking for a product-focused Machine Learning Engineer to join our team, to operate with autonomy and with the support of the team to lead and build out our product vision and deliver value to our customers. What you'll do • Focus on ML, especially LLMs, model performance, security, and robustness: make LLMs and model-based systems respond accurately, quickly, and comprehensively to general and task-specific interactions by both natural and adversarial users – for example, checking veracity of responses, hardening against prompt injection, query-based routing to different models, and generation of evaluation datasets, • Build out new techniques and tooling in ML model monitoring: data drift detection, high-dimensional density estimation, time series anomaly detection; detection and mitigation of issues in fairness and bias in ML algorithms, • Run machine learning experiments independently and in collaboration with product teams, and communicate results to internal stakeholders as well as the broader ML community via publications in top-tier conferences, industry conference presentations, deep technical blogs, and events, • 5+ years of professional experience in Machine Learning, and/or Engineering providing strong ML support, or Data Science/Statistics with 2+ years of Engineering expertise, • Deep experience writing production-grade python, in addition to experience using ML frameworks, such as JAX, Tensorflow, or PyTorch, • Understanding of software engineering best practices, version control, and containerization, • Customer empathy and a willingness to engage directly with customers and stakeholders, • Experience with deploying ML models to production and with comprehensive model risk management, • Deep interest in LLMs (to start) and multimodal generative models (soon!), specifically around measuring bias or performance, • Enthusiasm for staying up to date on the latest developments in the field – we operate in a nascent space with plenty of signal and plenty of noise coming from arXiv and open source projects, • Knowledge of and ability to (re)learn statistical methods and contemporary ML algorithms You might also have (nice to have, definitely not required) • Experience with public cloud services, such as AWS, Google Cloud, or Azure, • Experience or interest in interactive machine learning, HCI, human-centered ML and LLM evaluation, etc., • Experience or interest in explainability and fairness of recommender systems, • A body of ML-focused publications (we tend to have a presence at NeurIPS/ICML, KDD, AAAI, CHI, and the newer responsible AI conferences like SaTML, FAccT, and AIES), technical blogging, and/or open source projects, • Teammates who value curiosity, hard work, collaboration, and creative problem-solving -- and good swag, • A team of professionals who are passionate about our work and making a positive impact through AI, • A caring culture; we value and prioritize our team’s physical and mental health, encouraging and celebrating life outside of work, • Autonomy to pursue your role and interests with room to grow, with a team behind you that always has your back, • Competitive compensation plus medical, dental, and vision insurance, and a 401K (with matching), • Our target base salary range for this role is $160,000 - $230,000, based on level of experience and how your skills align with role requirements, • Equity in what we’re building together, backed by some of the most respected VCs in the industry, • A flexible learning and development budget: we’ll support ways to learn and grow in the areas that matter to you, • Highly discounted wellness and fitness benefits, • Flexible PTO with vacation minimums, which we really want you to take and enjoy, • The ability to work in a highly flexible hybrid environment - both from home, and from our NYC office with our team

Automation AI Security Engineer Brooklyn, NY Onsite Description: The resource’s function is essential to securing the City of New York’s systems for the MyCity Portal development project. Specifically, this resource will help aid in the automation of the Project's Artificial Intelligence (AI) capabilities with other cybersecurity tools. This requires the testing and hardening of the AI ecosystem through well-designed frameworks designed to protect the City of New York's systems and data from emerging cyber-attacks. MyCity is a single portal for all City services and benefits. The vision is a simple, seamless, and intuitive experience interacting with City government digitally. It is designed with New Yorkers at the center of the process to prioritize features by conducting user research. MyCity produces value for New Yorkers, early and often through phased releases. There are several phases within the MyCity portal workstream (Child Care, Business Portal, Workforce Development Services and others). One such phase has been the inclusion of artificial intelligence (MyCity Chatbot) into the platform to enhance New Yorker's ability to leverage the platform. OTI Cyber Command is looking for additional support as the cyber threat landscape continues to evolve and Citywide cybersecurity solutions are deployed in large, complex networked environments. The needed resource skill set is specialized in: working with software development teams to ensure the security and responsible use of AI applications by providing automation guidance at various stages of planning and implementing security design, processes and solutions, and, testing and validation. The resource will have significant interaction with NYC Cyber Command leadership, its engineering, architecture, and application security teams, incident response and other cyber security practitioners. TASKS: ● Design and implement AI-powered solutions that enhances the security posture of tools across multiple platforms. ● Develop security content for tools and technologies that the Threat Management team relies on to ensure business as usual functioning. ● Design and deploy machine learning models for threat detection, incident response, and security orchestration. ● Integrate innovative and custom technology to improve accuracy of alerts and notifications received by teams within Threat Management. ● Create well documented and clearly articulated code, process and services documentation. ● Understanding REST and SOAP API usage and implementing solutions utilizing APIs from Cyber Command utilized solutions, that enhance detection and response capabilities of the Threat Management. ● Handle special projects and initiatives as assigned. ● Perform various types of tests such as functional testing, regression testing, performance testing, and usability testing to evaluate the behavior and performance of the AI algorithms and models. MANDATORY SKILLS/EXPERIENCE: ● Bachelor’s degree in computer science, electrical or computer engineering or related field, or equivalent work experience. ● Ability to leverage REST API’s to build tool and platform integration. ● Proficient in git version control and git life-cycle development. ● 8+ years of hands-on experience in cybersecurity or information security and Python development. ● Demonstrated ability to write test scripts, automate test cases, and analyze test results using programming languages and testing frameworks. ● Ability to work independently to learn new technologies, methods, processes, frameworks/platforms, and systems. ● Excellent written and verbal communication skills to articulate challenging technical concepts to both lay and expert audiences. ● Ability to stay updated on the latest developments, trends, and best practices in both software testing and artificial intelligence. DESIRABLE SKILLS/EXPERIENCE: ● Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment. ● Understanding of public cloud platforms and experience with utilizing platforms such as Azure, AWS or Google Cloud. ● Experience working in a security environment and/or supporting security teams from a technical standpoint. ● Ability to work collaboratively in an interdisciplinary team environment. ● Highly flexible/willing to learn new technologies. SPECIAL REQUIREMENTS: Normal on-prem business hours Monday-Friday 35 hours/week (not including mandatory unpaid meal break after 6 hours of work).

Constrafor is a SaaS and fintech platform purpose-built for construction. We are setting new standards of productivity and cost-efficiency for the way General Contractors and Subcontractors manage procurement & financial transactions. With over $30 million of VC financing, we are forging the path for construction innovation. Join us on our mission to advance the largest industry in the world. We are looking for a solutions oriented DevOps Engineer to join our rapidly growing team! As a DevOps Engineer, you'll be at the forefront of innovation, spearheading the management of Constrafor's core systems across various domains including SaaS, Fintech, ETL pipelines, CI/CD, and beyond. Most importantly you will help us grow and improve automation for developers, site reliability, and information security. 📝 Key Responsibilities: • Scale applications to support dynamic teams in a fast-paced, flexible environment., • Build and implement automated workflows to enable engineers to self-service their infrastructure and deployment needs., • Enable our engineering team to use new technologies in a scalable, reliable, and highly available way., • Identify and drive initiatives to increase productivity through automation and integrations., • Incorporate performance monitoring and tooling into deployment and workflow automation., • Mitigate information security concerns before they arise., • Perform SaaS, and financial application risk assessments and develop risk maps to ensure users and data are protected., • Build next-generation tooling involving cutting-edge technologies and entirely cloud-native solutions., • Partner with the CTO to deploy seamless infrastructure and code solutions., • Manage privacy, identity, and security for the Constrafor platform. 📈 Qualifications: • 3+ years hands-on work with deployment systems, containers, monitoring, and alerting., • Experience with a major cloud provider, preferably AWS., • Experience with Docker or Kubernetes., • Enthusiasm for working in a small, fast-paced team that thrives on tackling new challenges., • Dedication to product ownership and solving complex problems for our customers., • Experience building SaaS or Fintech products is a plus., • Bonus points for experience with data migration, transformation, and ETL systems, as well as building SaaS or Fintech products. 💼 What We Offer: • Salary Range: $150,000-170,000., • Equity ownership within Constrafor., • Medical, dental & vision insurance coverage offered for you and your dependents., • Generous PTO Plan., • A collaborative and innovative work culture that values your input., • Opportunity to make a significant impact in a growing tech company., • Hybrid schedule out of our beautiful Hudson Yards office. Constrafor is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.

Company Information Waterfall Asset Management, LLC is an SEC-registered alternative investment manager focused on specialty finance opportunities within asset-backed credit, whole loans, real assets, and private equity. Waterfall was founded in 2005 by Tom Capasse and Jack Ross, two individuals who were early leaders of the ABS industry, and who together have over 60 years of proven ABS/Loan credit analysis, trading, banking, and servicing experience. Waterfall seeks to provide its client a compelling risk/return profile which is generally uncorrelated to most traditional investment opportunities. Waterfall is headquartered in New York, with additional offices in London, and Dublin. As of June 1, 2025, Waterfall approximately $13.1 billion in assets under management. Job Description Waterfall Asset Management is searching for an infrastructure engineer with at least 5 years of experience. The individual will be primarily responsible for implementing and maintaining our cloud infrastructure as well as serve as a manager and escalation point for the helpdesk. We are a hybrid cloud environment across a private cloud, azure, and AWS. The infrastructure team provides foundational technology, engineering, security, and support systems that power the innovative services at the heart of Waterfall’s investment strategies. We’re looking for a highly motivated technologist driven to provide exemplary customer service in a global environment. The ideal candidate is a self-starter, possesses exceptional problem-solving skills, a collaborative mentality, and an ability to bring innovative ideas to life. The role offers great exposure to all aspects of technology as well as the many and varied areas of the hedge fund. Specific job responsibilities include: • Provide day to day systems administration and support, • Design and build performant, reliable, and scalable infrastructure in both Azure and AWS, • Working with development and application teams to deploy new technology, • Coordinate with an outsource technology support firm and co-manage 4 dedicated helpdesk support techs from this firm, • Work with additional external vendors as needed (compliance, off-site storage of backups, and business continuity), • Act as an escalation point to helpdesk to assist in issue resolution, • Retain all licenses, renewals, and upgrades from IT vendors, • Recommend and implement necessary upgrades to system infrastructure, • Manage and support market data and trading systems, • Maintain up to date documentation of procedures and site infrastructure, • Work with external vendors for compliance, off-site storage of backups, and business continuity, • Proven engineering and operations experience in a globally distributed hybrid technology infrastructure, • Strong project and resource management skills with the ability to juggle competing deadlines, • Deep understanding of enterprise infrastructure technology including storage, network, computing, virtualization, and containerization, • Excellent communication, analytical and troubleshooting skills, • In-depth knowledge of Microsoft servers, Active directory, group policy, identity platforms, Microsoft 365 and associated services, • Advanced working knowledge of DNS, DHCP, and other TCP/IP –related protocols, • PowerShell and Batch scripting to automate daily tasks, • Solid understanding of business continuity including disaster recovery and data backup technologies, • Capable of multitasking effectively and efficiently in a high-paced environment, • Preferred financial industry experience including familiarity with market vendor applications, • Capacity to work independently with moderate supervision, • Ability to be flexible and successfully respond to multiple work pressures

Who we are: DoubleVerify is the leading independent provider of marketing measurement software, data and analytics that authenticates the quality and effectiveness of digital media for the world's largest brands and media platforms. DV provides media transparency and accountability to deliver the highest level of impression quality for maximum advertising performance. Since 2008, DV has helped hundreds of Fortune 500 companies gain the most from their media spend by delivering best in class solutions across the digital ecosystem, helping to build a better industry. Learn more at______. Responsibilities: • You have a DevOps approach by nature and technology enthusiasm with a sharp mind and a “can do” approach, • Plan, develop and support projects in close collaboration with Software Engineering teams as part of our US DevOps team, • Design, deploy, secure and own Kubernetes platform (Google GKE/Rancher), • Create tools to manage our CI/CD - kubernetes operators, microservices & other management tools, • GitOps - planning the CI/CD pipeline and allowing the developer to take ownership of it, • Contribute to the design and implementation of new products and features, making sure they are all developed so they fit nicely in DV infrastructure, • You will work alongside the development teams to provision, automate, and tune multiple environments across cloud platforms Who you are: • 5+ years as a DevOps Engineer, • 3+ year experience in managing/owning a Kubernetes-based platform., • 3+ years software engineering experience, • DevOps platforms (GitLab preferred ) experience, • GCP or AWS Experience., • Ability to leverage application and system metrics, log events, and wire data to analyze performance., • Mastery of infrastructure management and deployment frameworks (Terraform/Helm preferred)., • Team Player with an ability to work independently and good communication skills., • You have a strong desire to improve the developer experience of engineers that use our tools and software., • You are a believer in creating systems that encourage automation, observability and ease of maintenance., • Bachelor’s Degree in Computer Science or equivalent technical experience The successful candidate’s starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, and balancing internal equity relative to peers at DV. The estimated salary range for this role based on the qualifications set forth in the job description is between [$107,000 - $213,000]. This role will also be eligible for bonus/commission (as applicable), equity, and benefits. The range above is for the expectations as laid out in the job description; however, we are often open to a wide variety of profiles, and recognise that the person we hire may be more or less experienced than this job description as posted. Not-so-fun fact: ___ shows that while men apply to jobs when they meet an average of 60% of job criteria, women and other marginalized groups tend to only apply when they check every box. So if you think you have what it takes but you’re not sure that you check every box, apply anyway!

Aircall is a place where voices are valued. Backed by over $220 million of investment since 2015, we create technology that fuels accessible, transparent and collaborative communication to empower our base of 20,000+ customers (and growing) to make authentic, human connections. Conversation is a cornerstone of our culture. Wherever our people find themselves in the Aircall world – Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, or at home – everyone has a voice that is valued. Whatever your background, wherever you’re from – we want you to join the conversation. Let’s talk. We are building the future of communication and we would love for you to be a part of it. About the role: We are looking for a passionate and experienced data engineer to join our team and contribute to Aircall’s rapid growth. As a Senior Data Engineer, you will play a crucial role in designing, developing, and maintaining our data infrastructure. This role offers the unique opportunity to be at the forefront of our engineering efforts to develop and optimize the technologies that will scale our business via enhancing the customer journey. Collaborating with teams across the company, you will leverage your technical skills to solve complex challenges, improve operational efficiency and lead our business towards its strategic goals. \n Your mission @ Aircall: • Design, build and maintain core data infrastructure pieces that allow Aircall to support our many data use cases., • Enhance the data stack, lineage monitoring and alerting to prevent incidents and improve data quality., • Implement best practices for data management, storage and security to ensure data integrity and compliance with regulations., • Own the core company data pipeline, responsible for converting business needs to efficient & reliable data pipelines., • Participate in code reviews to ensure code quality and share knowledge., • Lead efforts to evaluate and integrate new technologies and tools to enhance our data infrastructure., • Define and manage evolving data models and data schemas. Manage SLA for data sets that power our company metrics., • Mentor junior members of the team, providing guidance and support in their professional development., • Collaborate with data scientists, analysts and other stakeholders to drive efficiencies for their work, supporting complex data processing, storage and orchestration A little more about you: • Bachelor's degree or higher in Computer Science, Engineering, or a related field., • 5+ years of experience in data engineering, with a strong focus on designing and building data pipelines and infrastructure., • Proficient in SQL and Python, with the ability to translate complexity into efficient code., • Experience with data workflow development and management tools (dbt, Airflow)., • Solid understanding of distributed computing principles and experience with cloud-based data platforms such as AWS, GCP, or Azure., • Strong analytical and problem-solving skills, with the ability to effectively troubleshoot complex data issues., • Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment., • Experience with data tooling, data governance, business intelligence and data privacy is a plus. \n$120,000 - $220,000 a yearThis is not including equity and other benefits. The actual salary offered will carefully consider a wide range of factors, including your skills, qualifications, and experience.\n Aircall is constantly moving forward. We’re building new roads to complete our journey, and we’re taking people with us who have the same builder mentality. Let’s grow together: Aircall is a place for those who dare to be bold and seek responsibility, excellence, and the opportunity to push themselves to new heights. We’re creating a place where great people trust one another and thrive together. People flourish at Aircall and now is the time to be part of the team and the journey we’re on. Why join us? 🚀 Key moment to join Aircall in terms of growth and opportunities 💆‍♀️ Our people matter, work-life balance is important at Aircall 📚 Fast-learning environment, entrepreneurial and strong team spirit 🌍 45+ Nationalities: cosmopolite & multi-cultural mindset 💵 Competitive salary package & equity 🏨 Medical, dental, and vision insurance is 100% covered 📈 401k plan with company matching! ✈️ Unlimited PTO — take the time you need to come to work feeling great! ⭐️ Wellness, commuter, and childcare reimbursements 💚 Generous parental leave policy DE&I Statement: At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey. We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We’re working to create a place filled with diverse people who can enrich and learn from one another. We’re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive. We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn. Want to know more about candidate privacy? Find our ___ Want to know more about candidate privacy? Find our

Do you love working with cloud infrastructure at scale? Optimizing the last bit of performance and efficiency out of applications that get hundreds of thousands of requests per second? Digging deep to determine the root cause of an outage? Building and maintaining infrastructure toolkits that hundreds of developers will use? Maintaining large distributed databases? Come work on the Site Reliability & Infrastructure Engineering team at Vimeo! Your job will be to design, develop, deploy, maintain, and optimize the platform that powers an application that is part of the infrastructure of the Internet: Vimeo. SRE at Vimeo spans the domains of platform engineering, database administration, release engineering, and internal tools. What you’ll do: • Build, secure, and evolve platforms which power the applications that make up Vimeo, • Build and maintain tooling which makes manual infrastructure work obsolete and enables self service for engineers, • Improve observability and reliability of applications to reduce outages to an absolute minimum, while reducing MTTA and MTTR, • Write and maintain thorough documentation to share with your teammates around the world, allowing them all to function as a cohesive unit, • Contribute to an internal self-service infrastructure platform used by all engineers for application development and deployment., • Participate in a weekly on-call rotation shared between offices in the US and India, which includes responding to production incidents and providing internal support to other engineers at Vimeo, • Whatever it takes (within reason) to make Vimeo faster, simpler, more scalable, more reliable, and more efficient to operate Skills and knowledge you should possess: • At least 5+ years of professional experience in software development or DevOps with high proficiency in at least one general-purpose programming language (C/C++, Go, Java, Ruby, PHP, Python, etc.), • Deep understanding of the architectural patterns of high-scalability distributed systems, • Expert-level proficiency maintaining, optimizing, and administering Kubernetes deployments, • Strong knowledge of container orchestration, Linux system internals, networking, and secure computing., • Significant experience with major cloud providers (Google Cloud, AWS), • Significant experience with deploying and administration of MySQL, • Experience with “Infrastructure as Code” platforms such as Terraform, • Experience with observability systems, such as Datadog, Grafana, Prometheus, VictoriaMetrics, OpenCensus, and Graphite Bonus points (nice skills to have, but not needed): • Knowledge of ArgoCD, Atlantis, Varnish, Memcached, and/or Chef, • Experience with generalized build systems (make, bazel, please, etc.) or language-specific build systems (SWC, Turborepo, etc.). Base Salary Range: • NYC Metro, Bay Area, Seattle, & Los Angeles: $150,000 - $207,000 At Vimeo, we strive to hire and nurture amazing talent across the globe. Actual salaries will vary depending on factors including but not limited to experience, specialized skills, internal alignment, and location. Base salary is just one component of Vimeo’s total rewards philosophy. We offer a wide range of benefits and perks that appeal to the variety of needs across our diverse employee base! Other rewards may include variable compensation and Restricted Stock Units (RSUs). We also offer paid time off, generous 401k match, commuter benefits, Health Savings Account (HSA), Flexible Spending Account (FSA), fertility reimbursement, group term life insurances, wellbeing resources, and more. #LI-MM1 About Us: Vimeo (NASDAQ: VMEO) is the world's most innovative video experience platform. We enable anyone to create high-quality video experiences to better connect and bring ideas to life. We proudly serve our community of millions of users – from creative storytellers to globally distributed teams at the world's largest companies – whose videos receive billions of views each month. Learn more at ___. Vimeo is headquartered in New York City with offices around the world. At Vimeo, we believe our impact is greatest when our workforce of passionate, dedicated people, represents our diverse and global community. We’re proud to be an equal opportunity employer where diversity, equity, and inclusion is championed in how we build our products, develop our leaders, and strengthen our culture.

Office Location: Lower Manhattan, NY Accrete 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 We are looking for a talented Machine Learning Engineer to join our Engineering team and contribute to the evolution of our AI products. Responsibilities: • Design, develop, and optimize machine learning models and pipelines for deployment in production environments., • Build scalable and efficient ML infrastructure to support data ingestion, model training, evaluation, and deployment., • Collaborate with data scientists, engineers, and research to integrate ML solutions into Accrete’s platform., • Implement best practices for model performance monitoring, versioning, and retraining., • Work with cloud-based platforms and distributed computing frameworks to improve system efficiency., • Optimize feature engineering, data preprocessing, and training workflows to improve model accuracy and efficiency., • Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, or a related field., • 5+ years of experience in designing and deploying machine learning models in production., • Strong programming skills in Python and proficiency in ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn., • Experience with cloud platforms (AWS preferred) and containerization technologies (Docker, Kubernetes)., • Proficiency in distributed computing frameworks like Spark, Ray, or Dask., • Experience with MLOps tools and techniques, including CI/CD for ML, model versioning, and monitoring., • Familiarity with large-scale data processing, data engineering principles, and feature stores., • Experience with reinforcement learning, NLP, or deep learning applications., • Knowledge of graph-based ML, generative AI, or other advanced ML techniques., • Exposure to edge AI and model optimization techniques (e.g., quantization, pruning). The salary range provided reflects the estimated compensation for this role based on the expected qualifications and experience level. The final offer may vary depending on factors such as skills, experience, and alignment with role requirements. Core Values & Expectations: Impact You take full ownership and accountability for your work, consistently seeing projects through from inception to completion with a strong bias for action. Proactively identifying challenges, you drive solutions rather than waiting for direction, and hold yourself and others to the highest standards for delivering results. With strategic thinking and a problem-solving mindset, you make informed decisions leveraging data and expertise, always looking for ways to improve processes, optimize workflows, and enhance outcomes beyond your immediate responsibilities. Collaboration You work seamlessly across teams, prioritizing shared goals and team success over individual credit. Engaged listening and open, candid communication are at the heart of your approach, ensuring alignment and synergy throughout the organization. You value diverse perspectives, seeking input from others to drive better results. By treating colleagues with respect and professionalism, you help build a culture of trust, supporting each other through challenges, celebrating successes, and constructively addressing conflicts to strengthen relationships and improve outcomes. Passion for AI & Innovation You are deeply excited about the transformative potential of AI and committed to contributing to a company shaping the future of work. With curiosity and a growth mindset, you continuously seek to learn, adapt, and stay at the forefront of new developments. Your enthusiasm for innovation drives you to explore new ideas, challenge the status quo, and find creative solutions that deliver meaningful impact. You approach your work with energy and a desire to advance both technology and the way we work. • Competitive Salary: Aligned with experience and market standards., • Comprehensive Insurance: Health, dental, and vision coverage to keep you and your family secure., • 401(k) Plan: Build your financial future with our retirement savings plan., • Flexible PTO & Hybrid Work: Take time off when you need it and enjoy remote flexibility per company guidelines., • Growth & Development: Access professional development, learning opportunities, and career advancement support., • Onsite Perks: Enjoy catered lunches, snacks, and a stocked kitchen., • Team Bonding: Company-sponsored happy hours and social events to connect and unwind.

Hinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With tens of millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role Hinge is hiring an experienced Staff ML Platform Engineer to drive the design, development and evolution of our Feature Store platform. You will own our streaming offline and online feature store capabilities, enabling Machine Learning Engineers (MLEs) to efficiently perform data exploration and feature engineering operations and utilize features for model training and model inference (batch, near real-time and online). You will collaborate closely with ML engineers, data scientists, data engineers, partner platform teams and project managers to ensure that our Feature Store scales to meet the growing data demands of our ML teams, provides intuitive workflows for feature management and satisfies requirements for data privacy and legal frameworks at Hinge. This role requires awareness and empathy for the applied AI/ML problem space. You will ensure that the Feature Store platform is truly self-service and serves the evolving needs of all ML stakeholders without incurring a linear operations burden. You will also be deeply integrated with the rest of the AI platform and understand data access patterns across the entire ML lifecycle. Your success will depend on maintaining a cohesive, end-to-end view of how data is used in early model experimentation, training, evaluation and inference in production. Being part of a small yet highly impactful team means having a broad scope of responsibility, and as ML is still in its early stages at Hinge, this role provides a chance to grow as a technical leader by mentoring others on the team and across the company. This is an exciting opportunity to own and help define the future of machine learning within a rapidly growing team! Responsibilities • Define the long-term, holistic roadmap for the Feature Store platform, aligning it with company-wide ML initiatives and ensuring end-to-end integration with model training, serving and observability platforms., • Evaluate and introduce new technologies, tools and best practices that enhance feature serving reliability, scalability, cost efficiency and throughput, including leading build vs buy discussions., • Architect, build, and maintain frameworks enabling MLEs for self service data ingestion and serving pipelines for both offline (batch, async) and online (low-latency) feature stores., • Partner with cross-functional Platform teams to represent feature engineering requirements and incorporate them into Hinge’s wider Platform capabilities., • Collaborate closely with ML Engineers, Data Scientists, and Product Managers to understand the ML development lifecycle and identify opportunities to accelerate the AI/ML development and deployment process., • Mentor and educate ML Engineers and Data Scientists on current and up and coming methods, tools and technologies for Feature Engineering., • Help design and architect an AI platform that adheres to the principles of responsible AI and simplifies privacy compliance. What We're Looking For • 5+ years of experience, depending on education, as an ML Platform Engineer, Data Engineer, or Platform Engineer developing and working with large scale, complex data processing and or warehousing systems., • 4+ years of experience working on a cloud environment such as GCP, AWS, Azure, and with dev-ops tooling such as Kubernetes, • 3+ years of experience leading projects with at least 2 other team members through completion., • 2+ years of experience for Staff designing and developing online and production grade ML Feature Store systems., • A degree in computer science, engineering, or a related field., • Strong programming skills: Proficiency in languages like Python, Go, or Java., • System design & architecture: Ability to design scalable and efficient ML systems, particularly data intensive systems., • Data engineering expertise: Skills in handling and managing large streaming data processing systems and formats (parquet, json, protobuf, delta) including data cleaning, preprocessing and storage systems., • Feature Store Platform technology skills: The ability to establish and use Feature Store platforms such as Databricks, Feast, Tecton, Hopsworks, Ray, and/or similar., • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure., • ML knowledge: Broad awareness of the entire ML lifecycle, including the data needs for training, serving and evaluation., • Communication skills: The ability to communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds through documentation, RFCs and presentations., • Software leadership skills: A track record of leading projects with multiple contributors and stakeholders through completion with quantifiable and measurable outcomes. #Hinge

Jun Group is a technology company building a world where consumers are in control of their data and advertisers can reach them directly. Intelligent advertising that inspires trust is our guiding principle. We’re passionate about making advertising better for everyone through our consent-based approach that empowers the world’s largest publishers, brands, and agencies to achieve their goals with integrity, transparency, and peace-of-mind. We are looking for a Machine Learning / Data Engineer to join our engineering team to help us manage our diverse and growing set of initiatives. This position is full-time with the option of working on-site from our NYC headquarters. Jun Group will only consider candidates for this position who are currently legally authorized to work in the United States. Responsibilities include • Contribute to exciting greenfield projects, • Develop data pipelines supporting ML model development and applications, • Experiment with emerging technologies and contribute to designing new ML models and systems, • Collaborate with our server engineering team to improve our existing machine learning models and tooling, • Use Kanban to manage multiple releases per week, • Maintain high code quality through code reviews and automated tests Here are a few indicators that you're the right person • You enjoy a fun, creative, and engaging working atmosphere free of brilliant jerks, • You want to be part of a small team inside a large company with massive opportunity for growth, • You enjoy collaboration with other teams including product, biz dev, and our in-house QA team, • You eagerly dig into complex engineering problems Preferred skills and experience • You have hands-on experience implementing production machine learning systems at scale in Python, • Expertise with Python ML libraries like TensorFlow, PyTorch, Scikit-Learn, • Familiarity with ML tools like MLFlow, Ray Serving, • Familiarity with building data pipelines including SQL and manipulating large structured or unstructured datasets for analysis, • Familiarity with AWS and Google Cloud big data products Some company benefits include • Competitive Pay, • Hybrid Work Life, • Health, Dental, and Vision Insurance, • Mental Health Resources, • Volunteer Opportunities Greater NY-area Residents: We currently have a hybrid remote work policy. All Jun Group employees living within a 90-minute (one way) commute of our NYC office are expected to be in the office three days per week. Salary Range: $130,000 - $150,000, plus incentive pay We’re open to allowing the right person to learn our industry on the job. We welcome diversity and non-traditional paths into all of our roles. We believe in hiring the right person as opposed to the right combination of keywords. Communications regarding your application will only come from @___ or @___ email addresses.

Valence has built the first-to-market AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance & support to any leader or employee. At Valence, we're not just talking about the future of work – we're actively shaping it. From your first interaction with us, you'll notice we're different. By working here you won't just implement solutions for our clients; you'll be helping to architect the future of leadership in the age of generative AI. And we'll be honest – this is not for everyone. But for those with an insatiable desire to work fast on complex, unsolved challenges with some of the best talent in tech, this could be the career-defining opportunity you've been waiting for. The Role As a founding Applied AI Engineer at Valence, you'll spearhead the development of groundbreaking AI-driven leadership coaching, reporting directly to our Head of AI. This pivotal role places you at the intersection of cutting-edge generative AI and practical business applications, offering the opportunity to shape the future of workplace development. You'll pioneer AI coaching by developing and deploying advanced generative AI models that revolutionize leadership development, while crafting intelligent interactions through sophisticated natural language processing systems that provide personalized, context-aware guidance to leaders. In this position, you'll optimize our AI systems for enterprise scale, building robust and scalable solutions capable of serving Fortune 500 clients with high performance and reliability across diverse corporate environments. Collaborating closely with our product and leadership teams, you'll drive product innovation by identifying new opportunities for AI integration and constantly pushing the boundaries of what's possible in AI-assisted coaching. As a champion of ethical AI, you'll lead the charge in developing responsible AI practices, ensuring our coaching solutions maintain the highest standards of fairness, transparency, and user trust. This role presents a rare opportunity to apply state-of-the-art AI techniques to transform how businesses approach leadership development. You'll tackle unique challenges at the intersection of AI, psychology, and leadership development, creating truly innovative solutions. About Valence We're a Series A B2B SaaS company, backed by Insight Partners, that's pioneering the first generative AI leadership coach for large enterprises. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together. We've been featured in Harvard Business Review, and our client list reads like a who's who of global business, including Coca-Cola, Nestlé, General Mills, ServiceNow, AstraZeneca, Experian, and Bristol Myers Squibb. \n What You'll Do • Architect and develop enterprise-grade conversational AI solutions for leadership coaching, • Develop, design and implement improvements in user experience in conversational interactions leveraging LLMs in novel ways to advance product goals., • Evaluate and improve existing conversational (LLM-based) models across dimensions of effectiveness, scalability, and efficiency., • Implement, test, and deploy LLM-powered coaching agents that understand complex tasks, provide accurate and relevant responses, and adapt to diverse conversational contexts, • Integrate and manage diverse data sources to enhance the knowledge and contextual understanding of our AI coaching models, • Work with the product team to study user behavior and prioritize evolving product developments., • Experiment at a high velocity to optimize user experience, • Full stack - write, review and deploy code across back and front end as needed, • Streamlining data science processes to support rapid iteration and quality improvement., • Support other science and software development where required. What We're Looking For • Bachelor's degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience, • 3+ years of professional experience (or equivalent) in software engineering, AI/ML development (ideally including a Master's or Ph.D. in Computer Science, ML, Data Science, or a related field), • Practical and theoretical knowledge of language systems in the areas of: conversational systems, NLP, and Information Retrieval with knowledge of relevant tools, • Strong software engineering skills with a track record of developing data-driven machine learning systems or products, • Proficiency in Python and relevant deep learning frameworks - both training (e.g. PyTorch, Tensorflow, JAX) and serving (e.g., Hugging Face TGI/Transformers/Adapters/outlines, vLLM), • Experience with cloud deployment of ML systems (e.g., AWS, GCP, Azure) including and open systems (e.g. Docker and Kubernetes) and their associated ML services., • Experience with Data Science tools and processes (e.g. NumPy, scikit-learn, Pandas, PySpark), • Familiarity with ML lifecycle tools like MLflow, Weights & Biases, • Hands-on experience building Generative AI-powered applications, including Large Language Models, • Strong analytical and problem-solving skills, • Ability to communicate complex ideas and concepts effectively, • Exposure to early-stage startups, preferably B2B SaaS What You'll Get • Ownership of projects and strategic priorities regardless of seniority in our learning-focused environment., • Strong ties to the executive team, a culture of transparency and engagement with strategic decisions., • Options from day one, which means you will be on the ownership track right away., • Competitive salary and equity packages., • Comprehensive health coverage (medical, dental, and vision) from day 1., • Provision of anything you need to be successful - learning tools, hardware, office equipment, software., • 401k optionality for US based employees, • Generous PTO, company-wide R&R shutdowns and paid leave for parents., • A WFH stipend, phone stipend and support to work in a We Work or other space as preferred. \n Location and Work Environment If candidates are based in NYC or Toronto they can work hybrid in our offices, otherwise this role can be remote. Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions in the US. Diversity and Inclusion We are dedicated to creating a diverse and inclusive environment where everyone feels valued and supported. We encourage applications from candidates of all backgrounds and offer accommodations upon request throughout the hiring process. If you have any questions, please reach out to Allison Langille, Head of People, at . #LI-HYBRID

Hinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With tens of millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role: As a Senior Data Engineer on the Product Platform team, you will be instrumental in designing, building, and optimizing data pipelines and products that support foundational product services that are crucial to the operation of Hinge. Your work will have a direct impact on the reliability and scalability of these services, which are essential for delivering a seamless user experience. You will collaborate closely with product and engineering teams to create innovative solutions for handling large-scale data challenges, ensuring data consistency, low latency, and fault tolerance. You will be making a real impact on the product platform team and will be key to the success of Hinge. By enabling data-driven decisions and driving improvements to our product services, your contributions will ultimately affect the relationships of millions of people. \n Responsibilities: • Design, build, and optimize data pipelines that support critical foundational, cross-cutting product services, empowering the product team to make informed decisions., • Drive advancements in our Data Engineering stack by implementing containerization, refining data modeling techniques, and evolving ETL pipeline development to support emerging business needs and scalability requirements., • Leverage your data modeling expertise to design, build, and maintain our analytics data warehouse that delivers reliable, high-quality datasets for reporting, analytics, and machine learning purposes, supporting both short-term insights and long-term strategic initiatives., • Advocate for Data Engineering best practices within the team, championing their adoption and supporting the continuous improvement of the team's capabilities., • Work with stakeholders across the organization to understand their data needs and translate these needs into actionable data solutions., • Continue to learn more about the Data Engineering discipline, utilize that knowledge in your deliverables, and identify opportunities to enhance our pipelines., • Participate in our on-call rotation to ensure system reliability, promptly addressing issues to ensure smooth operations. What We're Looking For: • 5+ years of professional/industry experience in data engineering, delivering data products from conception to delivery and supporting their underlying infrastructure., • Strong technical background in building and optimizing data pipelines, with proficiency in Python, SQL, and data modeling for different types of data sources and business processes., • Technical expertise in the following: Python, Go, Kubernetes, Docker, Terraform, CircleCI, GitHub Actions, Kafka, PubSub, Dataflow, Redshift, BigQuery, Databricks, dbt, Looker, • Experience with cloud environments such as GCP, AWS, or Azure, • Strong communication skills (written and verbal), with an ability to work collaboratively with cross-functional teams, including backend engineering, data science, and product teams., • Effective analytical, troubleshooting, and problem-solving skills, ensuring data systems operate efficiently and meet business needs., • Mentorship experience, with a focus on guiding junior data engineers and contributing to team growth through knowledge-sharing and code reviews., • A degree in computer science, engineering, or a related field. \n$177,500 - $213,000 a yearFactors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in New York City. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.\n As a member of our team, you’ll enjoy: 401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year. Professional Growth: Get a $3,000 annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day. Parental Leave & Planning: When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.) Fertility Support: You’ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide $10,000 toward fertility preservation. You and your spouse/domestic partner are both eligible. Date Stipend: All Hinge employees receive a $100 monthly stipend for epic dates– Romantic or otherwise. Hinge Premium is also free for employees and their loved ones. ERGs: We have eight Employee Resource Groups (ERGs)—Asian, Unapologetic, Disability, LGBTQIA+, Vibras, Women/Nonbinary, Parents, and Remote—that hold regular meetings, host events, and provide dedicated support to the organization & its community. At Hinge, our core values are… Authenticity: We share, never hide, our words, actions and intentions. Courage: We embrace lofty goals and tough challenges. Empathy: We deeply consider the perspective of others. Diversity inspires innovation Hinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know. #Hinge

iCapital is powering the world’s alternative investment marketplace. Our financial technology platform has transformed how advisors, wealth management firms, asset managers, and banks evaluate and recommend bespoke public and private market strategies for their high-net-worth clients. iCapital services, approximately $945 billion in global client assets invested in 1,940 funds, as of June 2025. iCapital has been named to the Forbes Fintech 50 for seven consecutive years (2018-2024); a three-time selection by Forbes to its list of Best Startup Employers (2021-2023); and a four-time winner of MMI/Barron’s Solutions Provider award (See link below). About the Role iCapital is seeking an experienced and forward-thinking AI/ML Engineer Vice President with a strong engineering background and experience leading technical teams. The ideal candidate thrives at the intersection of AI/ML systems engineering, platform development, and intelligent agent design. This individual will play a key role in building and scaling AI capabilities across our platform, with a focus on production-grade systems rather than data science. If you are passionate about developing systems that go beyond traditional ML models—systems that can reason, plan, and act in dynamic environments using tools, APIs, and memory—this is the role for you. While this is primarily a hands-on engineering position, this role will also provide technical leadership, mentor junior engineers, and collaborate cross-functionally to shape our AI strategy and execution. Responsibilities • Design, build, and optimize scalable AI/ML infrastructure and services powering intelligent features across our platform., • Lead the development of AI agents capable of autonomous decision-making, task execution, and multi-step reasoning across internal and customer-facing applications., • Architect and implement modular agent frameworks by integrating tools, APIs, and memory systems for dynamic and context-aware behavior., • Collaborate with product, data, and infrastructure teams to embed AI capabilities into production systems., • Drive the architecture and development of ML pipelines, model serving frameworks, and real-time inference systems., • Evaluate and integrate state-of-the-art AI tools and frameworks to accelerate development and deployment., • Provide technical mentorship and guidance to engineers, contributing to team growth and best practices., • Partner with Data Science teams to operationalize models, ensuring a smooth transition from experimentation to production., • Contribute to technical roadmaps and help define long-term AI/ML platform and agent strategy., • Optimize agent performance for latency, reliability, and safety in production environments., • Stay current with the latest research and tools in LLMs, multi-agent systems, and cognitive architectures., • Contribute to the development of internal libraries, best practices, and reusable components for agentic systems. Qualifications • 8+ years of experience in software engineering, with at least 2+ years focused on AI/ML systems, • Proven experience in building and deploying ML models in production environments, • Hands-on experience with AI agent frameworks (e.g., LangChain, Semantic Kernel, AutoGen, or custom-built systems), • Strong understanding of the ML lifecycle, including data pipelines, model training, evaluation, deployment, and monitoring, • Familiar with MLOps tools such as MLflow, Kubeflow, or SageMaker, • Deep understanding of LLM orchestration, prompt engineering, tool use, and memory architectures, • Familiar with various LLM inference engines such as vLLM or SGLang, • Experience in integrating agents with APIs, databases, and external systems, • Familiar with retrieval-augmented generation (RAG), vector databases, and knowledge graphs, • Experience deploying AI systems in cloud environments (AWS, GCP, Azure) and utilizing containerization tools (Docker, Kubernetes), • Demonstrated ability to lead projects or small teams, with excellent communication and collaboration skills, • Bachelor’s or master’s degree in computer science, engineering, or a related field, • Experience with LLMs, generative AI, or multi-agent systems in production is a plus, • Background in distributed systems or real-time data processing is a plus, • Experience in the finance industry is a plus Benefits The base salary range for this role is $180,000 to $220,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit ___ Twitter: @icapitalnetwork | LinkedIn: ___ | Awards Disclaimer: ___ For additional information on iCapital, please visit Twitter: @icapitalnetwork | LinkedIn: | Awards Disclaimer: iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Remote Livepeer is on a mission to build the world’s open video infrastructure. Founded in 2017, it is the world’s first open-source protocol for decentralized video streaming, built on Ethereum. The project has empowered developers to create scalable, cost-effective, and censorship-resistant video applications. The Livepeer network has transcoded billion of minutes, serving Web3 and Web2 platforms across gaming, entertainment, social media, and beyond. In 2024, Livepeer AI was introduced, unlocking Livepeer’s compute network for AI inference workflows. From real-time video transcription and object detection to scene recognition and AI-powered editing, Livepeer AI brings advanced machine learning directly into the decentralized video stack. These new tools not only reduce costs but also empower developers to build richer, smarter, and more engaging video experiences—whether for Web3 platforms, AI-powered dApps, or even traditional video use cases. Livepeer AI is looking for an experienced, self-driven SRE Engineer – someone that loves to build tools automate everything and deliver the best production experiences for end users. They are passionate about keeping all our user-facing services and Livepeer production systems running smoothly. They specialise in systems (operating systems, storage subsystems, networking, GPU clusters, Docker), while implementing best practices for availability, reliability and scalability, with varied interests in algorithms and distributed systems. We value reliability. We approach the infrastructure with craft and think a lot about form and function. You should feel equally at home talking to developers and designers. We are looking for someone who cares about the reliability of the infrastructure as much as we do. You will ensure the final product is high quality and works as intended. • Provide tech leadership in SRE execution and planning, • Lead complex infra projects for both internal and external stakeholders, • Orchestrate and run our infrastructure, • Add to and tune our monitoring, • Reduce or automate manual processes, • Be on an on-call (PagerDuty) rotation to respond to incidents that impact Livepeer’s availability, • Plan the growth of our infrastructure as we continue to scale, • Vendor management, • Manage the technical roadmap for the SRE team, • Infrastructure cost monitoring and optimisations, • Supporting engineers and improving development workflows, • Talk directly to large customers, • Co-ordinate with team members across timezones, • Build a technical competent SRE team through a clear set of OKRs, • Build essential tooling to improve the infra ops, • Have run global mission-critical infrastructure, • Have managed systems that handle high request volumes, • Know your way around Linux and the Unix Shell, • Have used configuration management systems, • Have used infrastructure automation tools, • Have implemented CI / CD pipelines, • Have experience with some of the following technologies:, • Kubernetes, • Docker, • Terraform, • Ansible, • Nginx, • Github Actions, • Grafana, • Prometheus, • Loki, • AWS, • Google Cloud, • Major CDN vendors, • Github Actions, Workflows, managing self-hosted runners, • Video streaming technologies (HLS, RTMP, transcoding etc.), • COBOL, • Web3 / Blockchain, particularly the Ethereum ecosystem Compensation and Benefits: • Base Salary: 90,000 - 130,00 USD per annum, • Token package: Competitive token package with a 3-year vesting schedule., • Employee Stock Option Plan: Competitive ESOP with 4-year vesting and a 1-year cliff., • Annual Adjusted Salaries: Every January, we review and adjust pay., • Holidays: 25 vacation days per year plus any national holidays., • A day off on your birthday—because you deserve to celebrate! (If it falls on a weekend, take another day off that week.), • Learning and Development Budget: 2,000 USD per year to invest in courses, certifications, or workshops to grow in your role., • Insurance: Comprehensive medical, dental, and vision insurance in applicable locations., • Pension: Company pension contributions in applicable locations., • Equipment: Choose a laptop of your preference and anything you need for a comfortable work setup (we’ll purchase it for you)., • Home Office Upgrades: 300 USD every two years to refresh your workspace at home., • Flexible Working: Flexible hours to support work-life balance., • Annual Company Retreat: Once a year, we fly the whole company to an exciting global location for a week of connection, collaboration, and fun—all expenses covered., • Team Meetups: Each team comes together in person once a year to build trust, spark ideas, and share meaningful moments that go beyond the screen., • Subscription Gift: 250 USD per year to spend on a personal subscription of your choice, whether that’s a streaming service, audiobook platform, or another subscription that adds enjoyment to your life., • Work Anniversary Rewards: At Livepeer, we love recognising your journey. As you reach 3, 4, 5 years and beyond, you'll be celebrated with gift card rewards., • Celebrate Life’s Big Moments: Whether it’s a wedding, a new baby, or another major milestone, we’ll mark the occasion with a celebration gift., • Referral Bonus: Refer great talent to Livepeer and earn 100 LPT tokens when they’re hired and successfully complete their probation., • Latest Tech: Work with cutting-edge AI and the latest technologies alongside an innovative and entrepreneurial team. Join Livepeer AI and shape the future of video streaming and AI tooling.

We are looking for a Senior Data Engineer to join our Advertising Product & Technology organization. Our teams are charged with scaling Spotify's Free Product and our Podcast Monetization Mission. You will work directly on an array of product features, advertiser publishing tools, and insights and reporting functionalities. You will collaborate with our cross-functional teams to ideate, develop, and own complex technical solutions on our fast-paced podcast and ad services technology platforms. Our team at Spotify looks for candidates that share our common interest in distributed backend systems, their scalability, and continued development. In this role, you will closely collaborate with our internal customers to figure out the best API and backend system design to scalably meet their needs. You will build the backend systems that power our application, scale highly distributed systems, and continuously improve our engineering practices. Above all, this work will impact how the world experiences music. \n What You'll Do • Maintain and enhance Spotify’s reporting pipelines ensuring they remain business-critical., • Build large-scale batch and real-time data pipelines for efficient collection, processing, and storage of measurement-related data., • Make enhancements to data models and ETL code to improve pipeline efficiency and data quality., • Work closely with stakeholders to understand business requirements and translate them into technical solutions., • Write scalable, testable, maintainable, and high-quality code., • Collaborate with engineers, product managers, and other stakeholders, embracing learning and leadership opportunities daily., • Monitor daily execution, diagnose issues, and ensure SLAs are met by maintaining and fixing business-critical pipelines., • Write distributed, high-volume services and know how to deploy and keep them running in production. Who You Are • Proven experience working with high-volume, heterogeneous data, ideally within distributed systems such as Hadoop, BigTable, Cassandra, GCP, AWS, or Azure, • Familiarity with data processing frameworks like Scio, GCP Dataflow, AWS EMR, and Apache Beam., • Strong programming skills in Python, Java, or Scala., • Commitment to agile software processes, data-driven development, reliability, and responsible experimentation., • Hands-on experience with orchestration tools like Airflow or similar., • Excellent problem-solving and communication skills. Where You'll Be • We offer you the flexibility to work where you work best! For this role, you can be within the North American region as long as we have ___, • We offer you the flexibility to work where you work best! For this role, you can be within the North American region as long as we have, • This team operates within the EST time zone for collaboration. \n The United States base range for this position is $160,091- $228,702 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. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

Octus Octus is a leading global provider of credit intelligence, data, and analytics. Since 2013, tens of thousands of professionals across hedge fund, investment banking, management consulting, and law firm verticals have come to rely on Octus to make better, faster, and more confident decisions in pace with the fast-moving credit markets. For more information, visit: Working at Octus Octus hires growth-minded innovators and trailblazers across the globe to drive our business and culture. Our core values – Action Oriented, Customer First Mindset, Effective Team Players, and Driven to Excel – define an organizational ethos that’s as high-performing as it is human. Among other perks, Octus employees enjoy competitive health benefits, matched 401k and pension plans, PTO, generous parental leave, gym subsidies, educational reimbursements for career development, recognition programs, pet-friendly offices (US only), and much more. Role As a DevOps Engineer at Octus, you will play a crucial role in the development, implementation, and maintenance of the cloud infrastructure for our products. This position involves close collaboration with Application Developers, Data Engineers, SRE, Security, and IT professionals to automate and streamline operations and processes. Your contributions will be essential in ensuring the reliability, scalability, and security of our systems and applications. Core Responsibilities: • Design, implement, and maintain CI/CD pipelines to automate the build, test, and deployment processes., • Effectively prioritize workload with a constant focus on increasing developer efficiency., • Manage and optimize cloud infrastructure to ensure scalability, performance, and cost-effectiveness. Experience with AWS is a plus., • Work closely with SRE to develop and maintain monitoring and alerting systems to ensure the health and performance of our systems and applications., • Work closely with Security to implement and enforce security best practices across our infrastructure and applications., • Collaborate with software developers to optimize application performance and reliability., • Participate in the planning and execution of disaster recovery and business continuity strategies., • Effectively communicate with stakeholders to provide updates on project statuses, issues, and recommendations., • Participate in on-call rotation to provide system support. Core Requirements: • At least 5 years of experience in a DevOps role., • At least 2+ years of experience with Terraform., • Expert knowledge of cloud concepts and services (EC2, ECS, S3, RDS, A/ELB, EBS, VPC, Route53 or equivalent)., • Expert level knowledge of Linux. Strong scripting skills for automation and tooling., • Ability to troubleshoot, diagnose, resolve & document RCA of incidents., • Good knowledge of database configuration, concepts, maintenance, and troubleshooting., • Thorough understanding of Security principles and experience in designing, implementing, monitoring proper controls., • Extensive experience with Infrastructure-as-code & configuration management tools (Terraform, SaltStack or equivalent)., • Experience with containerization technologies such as Docker and orchestration tools like Kubernetes, ECS including managing microservices architectures., • Knowledge of CI/CD tools such as Jenkins, Github Actions or equivalent., • Experience with monitoring and logging tools such as Datadog, Cloud Watch or equivalent., • Excellent communication skill, with the ability to effectively collaborate with cross-functional teams. At Octus, we consider a range of factors in connection with compensation decisions, including experience, skills, location, and our business needs and limitations. As a result, compensation may vary within and across similar roles and positions. Please note that the salary range information below is a good faith estimate for this position and actual compensation for any individual may fall outside this range if warranted by the circumstances applicable to that individual. If we identify a role that would be suitable for a broader range of skills and experience such that we would consider hiring at multiple levels then the range listed below may reflect that breadth. The salary range estimate for this position is $165,000 - $190,000. The actual compensation will be at Octus' sole discretion and will be determined by the aforementioned and other relevant factors. Equal Employment Opportunity Octus is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, pregnancy, veteran status, or any other legally protected status. We strive to create an inclusive and diverse work environment where all individuals are valued, respected, and treated fairly. We believe that diversity enriches our workplace and enhances our ability to innovate and succeed.

About the role We're looking for Site Reliability Engineers to work on security across the entire Radar infrastructure. Radar is a high-throughput, data intensive application handling 1 billion+ API calls per day. Over the past year, Radar has been used from over 100M devices worldwide. This role will help us continually improve our security and compliance posture. How we work: Most of our engineering team are former technical co-founders or former Radar interns from schools like Waterloo and CMU. Most engineers at Radar fit one of two molds, technically: either Staff level expertise in one stack, or "Multi-Stack" at any level. We say "Multi-Stack" because "Full-Stack" has the connotation of "Frontend and Backend", but Radar Engineers might also work on Mobile or Data engineering. Not that you need to be an expert in all of those, but a desire to learn, jump around to different stacks, and get things done is the important part. We care a lot about shipping fast and talking to customers. We're committed to our product vision of full-stack location infrastructure, but we also know that customer feedback is a treasure map to gold. Even though Slack is the brain of our company, working together in-person in our NYC HQ is the fastest way for us to get things done. We meet on Mondays to plan out work for the week in small groups and use Linear for planning. All projects are run by an Engineering lead, an executive and a Go-to-Market lead. Engineers figure out what to build, talk to customers, talk to prospects, help close them, get them live and make them successful. One of our most important company values is "Walk a mile," as in walking a mile in the customer's shoes, but also as in literally walking a mile, getting up from your desk and developing a deep understanding of how location services behave in the real world. To us, a week is a long time, and we expect to ship big things every week. The stack: The frontend is React, the backend is TypeScript and Rust. Everything is deployed to AWS via EKS. We use SecurityHub for continual cloud monitoring against benchmarks. We use Inspector and Qualys for endpoint and server vulnerability tracking. We use GuardDuty for IDS. We use Snyk and Github Advanced Security for code scanning and 3rd party lib vulnerability patching. JAMF Protect and GuardDuty are used for anti-malware. We use AlienVault for SIEM. We use Hackerone for Pen Tests and Vulnerability Disclosure. We use CIS for benchmarks. We use Vanta for GRC. We sponsor OpenStreetMaps, MapLibre, and OpenAddresses. The hiring process: After a brief call with our CTO, we'll invite you to our NYC HQ for an interview if we think there is a possible match. During that time we'll work on system design problems together and do some coding for 2 hours to build something simple. You might meet one of our co-founders and we'll also go into more depth about how we work to see if there is a match. What you’ll do: * Work on core Radar security infrastructure across the frontend, backend, mobile and cloud. * Ensure Radar is generally following AWS best practices for security. * Work on core our secrets management. * Work on core S3 security * Migrate our infra to OIDC keys wherever possible * Keep packages up to date in Docker containers and instances based on known CVEs and our SLAs. * Ship dependabot and Snyk auto-upgraded libraries. * Investigate findings generated by our SIEM and GuardDuty. * Triage and fix findings generated by Hackeone Pen Tests and Vulnerability Management Program. * Monitor Security Hub cloud scanning and remediate findings. * Keep server configuration up to date by leveraging CIS benchmarks. * Rotate AWS keys. * Review and remediate security groups and firewalls. * Participate in Incident Response plans and tests. * Participate in Risk Assessments and remediations. * Participate in our SOC 2 program. * Talk to Radar customers and prospects, hear their feedback, incorporate it into your work and make them successful You should: * Have experience working across several different security domains in large scale production applications. * Are interested in talking to customers or prospects and making them successful. Bonus points if you: * Are a former technical co-founder You’ll work with: * ___, CTO * ___, Senior Staff SRE * Our customers and prospects * Our Customer Success, Sales Engineering, and Sales teams Benefits & Perks: * Competitive compensation package, stock option grants, and a 401(k) plan with 4% employer match * Medical, dental, and vision plans with 100% premiums covered, 12 weeks of paid parental leave, flexible spending accounts (FSAs), and more * Unlimited PTO * Fully stocked kitchen and weekly catered breakfast/lunch at our NYC office * CitiBike and Wellhub (Gympass) memberships * Monthly happy hours and team events Benefits offering details will be provided if a candidate receives an offer. Benefits may also vary by location. About Us ___ is location infrastructure for every product and service. Companies like Vercel, Panera, and T-Mobile use Radar's geofencing SDKs and maps APIs to power location-based experiences across hundreds of millions of devices worldwide. Founded in 2016, Radar is headquartered in New York, NY. Radar has raised $85.5M from leading venture capital firms including Accel and Insight Partners. Compensation: For candidates based in the United States, the base salary range for this full-time position is between $150,000 - $200,000/year with an opportunity for performance bonuses and incentives. In addition to cash compensation, Radar offers full-time employees stock option grants under its equity plan. This is a meaningful ownership stake in the company we provide to our employees as we build a category-defining company. Our salary ranges are determined by role, level, and location. The range displayed on this job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Your exact offer may vary based on market location, job-related skills, experience, and relevant education or training. We are committed to equal employment opportunity 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 are proud to be an equal opportunity workplace.

Hinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With tens of millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role: The Dating Outcomes group is responsible for ensuring people see their most compatible matches, helping them better present themselves, and even starting a conversation when they match with someone. In short, we help people go on dates! We are hiring Senior ML practitioners to help us build the foundations of an AI first dating experience using the latest advancements in the field leveraging Hinge’s years worth of preference data. You can expect to work on recommendation systems end to end, experiment with using LLMs, photo and mixed input embedding models as well as building and deploying real time predictive models that directly impact millions of users' experience. This is a fast-growing team and you will get a chance to own and define the strategy, vision, and plan for how to accelerate machine learning at Hinge. \n Responsibilities • Own and contribute to foundational models (e.g. CLIP embeddings) that powers our recommendations pipelines., • Contribute to the research and development of recommender models as well experiment with the latest ML innovations (e.g. LLM agents and transcription models), • Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering impact to our daters incrementally., • Collaborate closely with ML Engineers, Data Scientists, and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process., • Mentor and educate ML Engineers on current and up and coming research, technologies and best practices of doing ML at scale., • Perform other job-related duties as assigned. What We're Looking For • Strong programming skills: Proficiency in languages like Python, Java or C++, • System design & architecture: Proven track record of training and deploying large scale ML models specially DNNs. Good understanding of distributed computing for learning and inference., • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, KubeFlow or W&B is a plus., • ML knowledge: Deep understanding of DNN architectures, track record of building, debugging and fine tuning models. Familiarity with PyTorch, TF, knowledge distillation, recommender systems are a plus., • Dev-ops skills: The ability to establish, manage, and use data and compute infrastructure such as Kubenetes and Terraform., • Data engineering knowledge: Skills in handling and managing large datasets including, data cleaning, preprocessing, and storage. Deep understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow., • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds.., • Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation, • Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes., • 4+ years of experience, depending on education, as an MLE., • 2+ years of experience working on a cloud environment such as GCP, AWS, Azure, and with dev-ops tooling such as Kubernetes, • 1+ year of experience leading projects with at least 1 other team member through completion., • 2+ years of experience for Senior designing and developing online and production grade ML systems., • A degree in computer science, engineering, or a related field. \n$204,000 - $245,000 a year\n As a member of our team, you’ll enjoy: 401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year. Professional Growth: Get a $3,000 annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day. Parental Leave & Planning: When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.) Fertility Support: You’ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide $10,000 toward fertility preservation. You and your spouse/domestic partner are both eligible. Date Stipend: All Hinge employees receive a $100 monthly stipend for epic dates– Romantic or otherwise. Hinge Premium is also free for employees and their loved ones. ERGs: We have eight Employee Resource Groups (ERGs)—Asian, Unapologetic, Disability, LGBTQIA+, Vibras, Women/Nonbinary, Parents, and Remote—that hold regular meetings, host events, and provide dedicated support to the organization & its community. At Hinge, our core values are… Authenticity: We share, never hide, our words, actions and intentions. Courage: We embrace lofty goals and tough challenges. Empathy: We deeply consider the perspective of others. Diversity inspires innovation Hinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know. #Hinge

About the role We're looking for Site Reliability Engineers to work on our production infrastructure. Radar is a high-throughput, data intensive application handling 1 billion+ API calls per day. Over the past year, Radar has been used from over 100M devices worldwide. We run a multi-availability zone architecture and a major initiative is to enhance our deployment to be multi-region. The stack: We use Terraform to manage our infrastructure. We deploy everything to AWS via EKS. We use MongoDB deployed to Atlas. We do CI and deployments via CircleCI. We monitor production with CloudWatch, grafana, Pingdom and PagerDuty. DNS is managed by CloudFlare. Most engineers are in the on-call rotation. Our main server languages are TypeScript and Rust. Our data pipelines are written in Airflow and Scala Spark. We sponsor OpenStreetMaps, MapLibre and OpenAddresses. How we work: Most of our engineering team are former technical co-founders or former Radar interns from schools like Waterloo and CMU. Most engineers at Radar fit one of two molds, technically: either Staff level expertise in one stack, or Multi-Stack at any level. We say Multi-Stack because "Full-Stack" has the connotation of "Frontend and Backend", but Radar Engineers might also work on Mobile or Data engineering. Not that you need to be an expert in all of those, but a desire to learn, jump around to different stacks and get things done is the important part. We care a lot about shipping fast and talking to customers. We're committed to our product vision of full-stack location infrastructure, but we also know that customer feedback is a treasure map to gold. Even though Slack is the brain of our company, working together in-person in our NYC HQ is the fastest way for us to get things done. We meet on Mondays to plan out work for the week in small groups and use Linear for planning. All projects are run by an Engineering lead, an executive and a Go-to-Market lead. Engineers figure out what to build, talk to customers, talk to prospects, help close them, get them live and make them successful. One of the hardest and most valuable practices we have is Walk A Mile - which is shorthand for putting yourself in the user's shoes - but also for literally walking a mile and dogfooding the Radar SDK, because you can't create location infrastructure behind a desk - you have see how the device behaves in the real world. To us, a week is a long time, and we expect to ship big things every week. The hiring process: After a brief call with our CTO, we'll invite you to our NYC HQ for an interview if we think there is a possible match. During that time we'll work on system design problems together and do some coding for 2 hours to build something simple. You'll meet one of our co-founders and we'll also go into more depth about how we work to see if there is a match. What you’ll do: * Work on core Radar infrastructure using Terraform all deployed to AWS via EKS * Work on critical company-level initiatives, for example, 99.99+% availability, multi-region deployment, and cloud cost-saving activities * Have your work be used by 100's of millions of devices * Be part of the on-call rotation (one week rotation every 1-2 months) * Talk to Radar customers and prospects, hear their feedback, incorporate it into your work and make them successful You should: * Have experience managing a production AWS environment via Terraform * Have experience with high availability multi-region production infrastructure running on Kubernetes * Have experience managing large sharded Mongo clusters with heavy read-write workloads * Have experience at a high growth startup * Be interested in talking to customers or prospects and making them successful Bonus points if you: * Are a former technical co-founder * Have experience with high throughput data intensive applications You’ll work with * ___, CTO * ___, Senior Staff SRE * Our Engineering, Customer Success, Sales Engineering and Sales teams * Our customers and prospects Benefits & Perks: * Competitive compensation package and equity plan * Medical, dental, and vision plans with 100% premiums covered for you * 401(k) plan with a generous employer match * Unlimited PTO vacation policy * Paid parental leave * Weekly catered breakfast and lunch at our NYC office * Free CitiBike membership (if based in tri-state area) * Monthly fitness reimbursement and wellness programs via Classpass and Gympass Compensation: For candidates based in the United States, the base salary range for this full-time position is between $150,000 - $250,000/year with an opportunity for performance bonuses and incentives. In addition to cash compensation, Radar offers full-time employees a competitive equity plan with stock option grants. This is a meaningful ownership stake in the company that we provide to our employees as we build a category-defining company together. About Us ___ is location infrastructure for every product and service. Companies like Vercel, Panera, and T-Mobile use Radar's geofencing SDKs and maps APIs to power location-based experiences across hundreds of millions of devices worldwide. Founded in 2016, Radar is headquartered in New York, NY. Radar has raised $85.5M from leading venture capital firms including Accel and Insight Partners. We are committed to equal employment opportunity 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 are proud to be an equal opportunity workplace.

The ___ of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. The Developer Platforms group is an essential part of The New York Times' engineering organization. They are responsible for building our Internal Developer Platform, used by over 60 teams and 450+ engineers in NYT Product Engineering. As a member of the DevEx Application Delivery team within Developer Platforms, this DevOps Engineer will help enable engineering teams at the New York Times to ship code with high velocity and quality. You will report to the Engineering Manager of the DevEx Platforms team. This is a hybrid position, with the choice to work from home up to 3 days a week. * Help develop infrastructure and observability for Continuous Integration and Continuous Deployment platform that supports hundreds of builds and deployments per day to ensure system reliability and scalability * Production support of our users, including weekly on-call rotations * 3+ years of software programming(language-agnostic, but we use Go) and scripting like bash * 2+ years of infrastructure provisioning and monitoring using Terraform and DataDog or Prometheus and with cloud services like AWS or GCP * 2+ years of experience working with CI/CD systems like Github Actions, Jenkins, and ArgoCD * Experience troubleshooting issues with users: You are motivated by helping others succeed * 2+ years of experience running and troubleshooting workloads on Kubernetes clusters (understanding of resources management and observability) * Experience in prompt engineering or building AI-powered internal tools #LI-Hybrid REQ-018656 The annual base pay range for this role is between: $110,000 - $130,000 USD The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply. We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available ___. The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email . Emails sent for unrelated issues, such as following up on an application, will not receive a response. The Company will further consider qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable "Fair Chance" laws. For information about The New York Times' privacy practices for job applicants click ___. Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through ___. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times. If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at . You can also file a report with the ___ or your ___.

Sia Partners is a next-generation management consulting firm. We offer a unique blend of AI and design capabilities, augmenting traditional consulting to deliver superior value to our clients. Counting 3,000 consultants in 19 countries, we expect to achieve USD 420 million in turnover for the current fiscal year. With a global footprint and expertise in more than 30 sectors and services, we optimize client projects worldwide. Through our Consulting for Good approach, we strive for next-level impact by developing innovative CSR solutions for our clients, making sustainability a lever for profitable transformation. Data-driven marketing has become a central element of strategy for many companies. At Sia Partners, we recognize the growing importance of data analysis in marketing, as it provides a deep understanding of consumer behaviors, optimizes marketing campaigns, and informs strategic decision-making. Our data marketing initiatives cover a wide range of domains, including luxury, energy, FMCG, banking, and insurance. Why Join The Sia Village? Excellence | Entrepreneurship | Innovation | Teamwork | Care & Support | Employee Wellbeing These are the ___ that guide all our actions. As an expression of our values, our Sia Village concept describes our commitment to fostering a sense of community within and among our offices. We believe that knowledge sharing is the key, not only to innovation, but to the growth and development of our people. Your experience at Sia Partners will be enriched by a(n): • Entrepreneurial journey, • Career advocacy program that supports achieving professional development goals through guidance, and real-time feedback, • Continuous learning & development opportunities, • Diversity, equity, and inclusion programs with an ever-growing list of global affinity initiatives To support its growth, Sia Partners is recruiting a Data Scientist Consultant with strong expertise in Marketing, Client, and Product challenges. Attached to the Data Science BU of Sia Partners, you will support the operational teams and marketing departments of our clients in defining their data needs and analyzing their data using data science techniques. This support takes various forms: Data Analysis, Strategic Support, Machine Learning & Statistics, Data Engineering & DevOps, Data Visualization, Data Transformation & Acculturation... The use cases can thus be varied: • Customer Loyalty:, • Customer Segmentation: Deepen the understanding of customers. Identify homogeneous customer profiles using clustering techniques, thus enabling optimal personalization of marketing campaigns., • Predictive Marketing: Develop and implement predictive models to anticipate customer behaviors, optimize marketing campaigns, and support customer retention strategy., • Define hyper-personalized marketing plans., • Enhanced Customer Experience:, • Using NLP models, analyze the causes of dissatisfaction from customer feedback, and extract structured information., • Leverage the latest AI models to offer hyper-personalized customer experiences (Personalized products, Recommendation engines, Connected objects)., • Pricing & Product:, • Contribute to pricing strategy, product development, and assortment optimization, as well as enhancing cross-selling strategies., • Capitalize on Generative AI to boost the creation of innovative products., • Geomarketing & Open Data:, • Integrate open data and geomarketing data into analyses to optimize targeting and campaign impacts., • Understand and anticipate the performance of the retail network., • Supply Chain & Operations:, • Predict sales to adjust production and inventory., • Developing or enhancing our offerings through training, working groups, internal and external communications, and R&D work., • Enhancing the firm's visibility by contributing to the publication plan (sector blogs, studies, press releases...) and marketing events., • Supporting business development by helping to define needs and participating in commercial activities., • Graduated with a master's degree in engineering or business school with a specialization in data analysis, statistics, and marketing. Ideally, you have initial experience in data analysis in a marketing context., • Excellent programming skills in Python, SQL, and data modeling., • Good knowledge and mastery of Data Science and Machine Learning algorithms (supervised methods, unsupervised methods, clustering…)., • Strong interest in marketing challenges and a good understanding of the luxury, FMCG, energy, banking, and insurance sectors., • Excellent communication and project management skills, with the ability to lead projects from conception to completion., • Proficiency in BI tools (Power BI, Tableau, Qlik…) and Python visualization tools (dash, plotly)., • Knowledge of a Cloud environment is appreciated (GCP, AWS, or Azure)., • Professional proficiency in English is required., • Joining Sia Partners means:, • Working on high-impact missions in various sectors (Energy, luxury, transportation, retail, finance…)., • Benefiting from a wide range of trainings and certifications in data, ensuring constant skill updates., • Evolving in a stimulating and dynamic professional environment with high value-added missions and internal R&D topics., • Joining a company committed to climate transition. Compensation & Benefits • Salary + Annual Discretionary Bonus, • Healthcare coverage that includes medical, dental, vision and life insurance policies, • Generous time off, • Parental leave paid at 100% of base pay for all new parents regardless of gender, • Future Moms Program, • 9 Company Holidays + 1 Floating Holiday, • 401(k) matching, • College save-up plan & college loan repayment plan, • Monthly cell phone stipend, • Commuter Benefits Compensation for this role is between $122,000 to $129,000 per year. Actual compensation within that range will be dependent upon the individual’s skills, experience, qualifications, and market location Our Commitment To Diversity Diversity, equity, inclusion, and belonging (DEIB) are part of Sia Partners’ DNA. Thanks to our expertise in several sectors and our international growth, our teams include a variety of experiences and cultures. We’re confident that promoting DEIB creates an environment in which everyone can reach their full potential. Our global network, DEIB@Sia Partners, brings together our people worldwide to facilitate local and global progress, focused on the following areas: • Gender equality (global Gender Equality Index score of 93/100 for 2023), • LGBTQ+, • Race & Ethnicity, • Working Parents Sia Partners maintains its hybrid workplace arrangements and provides a flexible workplace environment that is driven by client and business/market needs. At this time, in-person requirements are issued by departments (Business Unit/Business Line) and vary by office location. Consultants are expected to have the ability to be flexible with work location depending on business needs and live within a reasonable distance to the office. Work Authorization & Sponsorship At this time, Sia Partners does not intend to pursue employment with applicants who will require now or in the future visa by our company for work authorization in the United States (i.e., H1-B visa, F-1 visa (OPT), TN visa, or any other non-immigrant status). Sia Partners is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

WalkMe, an SAP company, pioneered the Digital Adoption Platform (DAP) to enable business leaders to fully harness technology in today's complex digital landscape. By leveraging WalkMe's features—guidance, engagement, insights, and automation—employees boost efficiency, executives gain greater visibility into digital usage, and organizations maximize their digital assets, driving successful digital transformation. Together, SAP and WalkMe form a powerful partnership that revolutionizes the digital transformation journey. This collaboration allows businesses to unlock the full potential of SAP's robust ERP solutions while seamlessly enhancing user experience and productivity with WalkMe's intuitive digital adoption platform. We are looking for a Site Reliability Engineer to join our amazing Cloud Engineering team. We are developing WalkMe’s revolutionary runtime engine and transforming the online experience for hundreds of millions of users. If you're excited about developing and working on innovative products, solving technical challenges, and being part of a company that is now proudly a member of the SAP family—WalkMe is the place for you. As this role will support our Federal business, US Citizenship is required.Hybrid role - 3 days a week in our SAP NYC office • 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., • 2+ years of experience as a Site Reliability Engineer, DevOps Engineer, or similar role, • Proven Software development experience, preferably gained at a venture-backed startup or a top technology firm., • Expertise in managing CI/CD pipelines and deployment automation with tools such as Gitlab., • Proficiency in AWS cloud platform., • 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., • Experience in managing databases, such as Mysql, Postgres and MongoDB., • 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., • At WalkMe, we are dedicated to building a workforce that reflects the diversity of our global community and clients we serve through inclusive programs and initiatives including equal pay, employee resource groups, holistic benefits and more. We are committed to fostering an inclusive culture which celebrates the unique experiences and perspectives each Team Member brings to the workplace., • Hybrid Work Arrangement: We offer a hybrid work schedule to perfectly combine the benefits of remote work and the essential connections and collaborations of onsite work., • Supportive Culture: We focus on the whole person, celebrating what makes us unique, and create space for community., • Professional Development: We encourage continuous learning and offer opportunities for career development through our career compass offering., • Stay healthy and happy with Wellness@WalkMe! Enjoy quarterly wellness reimbursements, daily BrightBreaks to recharge, and WalkMe’s annual Wellness Month every July—because your well-being matters all year long., • WalkMe provides health coverage options, where applicable, to ensure employees have access to essential medical benefits. Our offerings are designed to support the well-being and diverse needs of our global workforce., • WalkMe offers a generous annual leave policy tailored to meet regional standards, ensuring all employees enjoy sufficient time off to rest and recharge., • WalkMe offers RefreshMe Days throughout the year to further strengthen our commitment to work/life balance., • Robust Retirement Contributions: Ask HR about the specific offerings for your region!

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! We are looking for a Senior AI Solutions Engineer to join our customer-facing team. In this role, you’ll combine deep technical expertise in Machine Learning and Generative AI with strong pre-sales solutioning skills to help enterprise customers design, adopt, and scale AI using the H2O.ai platform. You’ll work hand-in-hand with Sales, Product, and Customers - leading technical discovery, designing architectures, running demos and pilots, and guiding customers through their end-to-end AI journey 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 • Partner with Sales to drive pre-sales success: lead discovery sessions, identify customer needs, design technical solutions, and build winning proposals., • Deliver compelling demos, workshops, and proof-of-concepts (POCs) across the H2O.ai platform (Driverless AI, Feature Store, EnterpriseGPT, Wave, h2oGPT, LLM Studio, ML Ops, and open-source tools)., • Build and present custom AI/ML/GenAI solutions tailored to industry verticals (banking, finance, insurance, healthcare, manufacturing, retail, public sector)., • Showcase hands-on expertise with LLMs: fine-tuning, evaluation, RAG pipelines, guardrails, and LLMOps best practices., • Design reference architectures and deployment strategies for enterprise customers across cloud (AWS, Azure, GCP), hybrid, and on-prem., • Guide customers on MLOps, Kubernetes deployments, CI/CD integration, monitoring, and governance to ensure production readiness., • Work closely with Product Management to influence product roadmap based on customer and field insights., • Contribute to thought leadership by creating solution blueprints, best practices, and reusable assets; represent H2O.ai at events, roundtables, webinars, and conferences.What We Are Looking For, • 5+ years in pre-sales, sales engineering, or solution architecture roles for enterprise AI/ML platforms., • Strong hands-on expertise in Generative AI and ML: LLM fine-tuning, evaluation, pipelines, predictive ML algorithms., • Proven experience with cloud-native deployments (AWS, Azure, GCP), Kubernetes, and enterprise integration., • Ability to design and explain AI/ML solution architectures to both technical and executive stakeholders., • Strong programming skills in Python (preferred), with familiarity in R or Java., • Excellent presentation and communication skills: confident in front of C-level executives and technical teams., • Experience with H2O.ai products or similar enterprise AI/ML platforms is a plus., • Willingness to travel up to 50% to support strategic accounts.How to Stand Out from the Crowd, • Experience running POCs, pilots, and executive workshops that accelerate AI adoption., • Familiarity with enterprise security, compliance, and governance in AI deployments., • Demonstrated thought leadership (talks, blogs, open-source contributions)., • Vertical domain expertise (e.g., BFSI, telco, pubic sector, manufacturing, retail).Why H2O.ai?, • Market leader in total rewards, • Remote-friendly culture, • Flexible working environment, • Be part of a world-class team, • Career growth 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.

OneTrack enables effortless logistics operations for the world's largest brands and logistics companies. We do this by deploying camera sensors and other data capture devices along with our mission control platform and AI agents across their operations. We think in decades, not VC-fund cycles, and we're committed to delivering real value to an industry that needs us right now. Every team member is laser-focused on growing the value of our scalable computer vision platform, expanding into new markets, industries, and use cases. Today, OneTrack is deployed in 100s of warehouses across North America working with companies like Kellanova, Ryder, Church & Dwight, ID Logistics, and many more. We're off to a big start, and we're doing it on our terms and timelines. About the Position: We are seeking a mid-senior level Software Engineer with 5-10 years of professional experience in backend development with Python (using FastAPI, Flask, or similar frameworks), AWS (particularly Lambda functions), and frontend development (React, JavaScript, CSS/HTML). This person will primarily be focused on OneTrack AiOn, our agentic AI platform that automates engineering, analysis, HR, and compliances processes in logistics operations. You will be hands on building agentic products that work in the real world interacting with tens of thousands of people every single day. • 2-5 years of professional experience in software engineering., • Strong proficiency in Python and experience with backend frameworks such as FastAPI or Flask., • Demonstrated experience building agentic systems on top of foundation models, • Strong experience in prompt engineering, tool design, and RAG, • Experience with AWS services, particularly Lambda functions., • Experience with SQL-like databases, • Proficiency in frontend development with React, JavaScript, CSS/HTML., • Solid understanding of software development principles, including version control (Git), testing, and continuous integration/continuous deployment (CI/CD) practices., • Excellent analytical and problem-solving skills., • Strong communication and interpersonal skills, with the ability to collaborate effectively with clients and team members., • Ability to manage multiple projects and prioritize tasks in a fast-paced environment. Preferred Skills: • Experience with Docker and Kubernetes., • Experience with data visualization tools and libraries., • Understanding of machine learning concepts and AI applications., • Knowledge of security best practices in software development. Note: This is a company that works harder than anyone else. We grind. We don't stop. This is not for everyone. If you want to be at the forefront of making AI run operations in the real world and solve complicated problems at scale with a lot at stake and a ton of responsibility, this is for you. If you are easily overwhelmed, don't have the confidence to own complex projects, or need others to delegate tasks and responsibilities to, this is not for you. • Base salary + bonus & stock options eligibility, • Health insurance, dental, vision, PTO days, • Flexible working hours and remote work options, • Opportunities for professional growth and development, • A collaborative and innovative work environment

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 Data Engineer to join our team who will be responsible for designing and building scalable data solutions that power our analytics and machine learning capabilities. In this role, you'll ensure data quality, reliability, and accessibility across the organization while working with various stakeholders to translate business requirements into technical solutions. \n What You Will Do • Design and implement scalable data pipelines using SQL and Python while maintaining efficient data models, • Develop comprehensive monitoring, testing, and alerting systems to ensure data quality, • Deploy and manage data applications using AWS cloud technologies (S3, EC2, Lambda), • Support machine learning initiatives through feature engineering and data model optimization, • Build tools and processes to improve team efficiency, • Create and maintain technical documentation while collaborating with analysts and stakeholders, • Work on analytics platform enhancement and cloud infrastructure management, • Participate in cross-functional collaboration initiatives Who You Are (Required): • Experienced professional with 3+ years of programming experience with SQL for data exploration and relational modeling, • Proficient in Python with 3+ years of experience building and maintaining data pipelines, • Well-versed in OLAP databases (Snowflake or Databricks), • Knowledgeable in AWS services (S3, EC2, Lambda), • Experienced with Apache Airflow or similar orchestration tools (Dagster, Prefect), • Understanding of big data frameworks like Apache SparkStrong analytical and critical thinking skills, • Experience with data experimentation and statistical analysis Who You Are (Preferred): • Experience with Shopify data integration, • Background in machine learning feature engineering, • Knowledge of data governance and security best practices, • Experience with real-time data processing, • Familiarity with data visualization tools, • Experience working in an Agile environment 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$110,000 - $120,000 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.

AWS Developer, Microsoft AI Engineer, Google ML Engineer). Senior AI Mainframe Modernization Engineer – Wealth Management Platforms. Senior AI Mainframe Modernization Engineer.

We are seeking a skilled Machine Learning Engineer to join our growing MLOps team. In this role, you will work closely with our data scientists, data engineers, and platform engineers to develop and deploy machine learning models and pipelines for various classification projects and more. • Develop efficient, clean, and maintainable Python code for machine learning pipelines, leveraging our in-house libraries and tools, • Collaborate with the team on code reviews to ensure high code quality and adhere to best practices established in our shared codebase, • Contribute to building and maintaining our MLOps infrastructure from the ground up, with a focus on extensibility and reproducibility, • Take ownership of projects by gathering requirements, creating technical design documentation, breaking down tasks, estimating efforts, and executing with key performance indicators (KPIs) in mind, • Optimize machine learning models for performance and scalability, • Integrate machine learning models into production systems using frameworks like SageMaker, • Stay up-to-date with the latest advancements in machine learning and MLOps, • Assist in improving our data management, model tracking, and experimentation solutions, • Contribute to enhancing our code quality, repository structure, and model versioning, • Help identify and implement the best practices for ML services deployment and monitoring, • Collaborate on establishing CI/CD pipelines and promoting deployments across environments, • Address technical debt items and refactor code as needed, • 2+ years of experience in machine learning engineering or a related role, • Strong proficiency in Python programming, • Experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn, • Familiarity with cloud platforms like AWS, including services like SageMaker, S3, and Secrets Manager, • Experience with data processing, cleaning, and feature engineering for structured and unstructured data, • Knowledge of software development best practices, including version control (Git), testing, and documentation, • Excellent problem-solving and debugging skills, • Strong communication and collaboration abilities, • Ability to work independently and take ownership of projects, • Experience with Infrastructure as Code (IaC) tools, preferably Pulumi or Terraform, • Experience with classification models and libraries such as XGBoost, SentenceTransformers, or LLMs, • Knowledge of data versioning, experiment tracking, and model registry concepts, • Familiarity with data pipeline and ETL tools like Dagster, Snowflake, and DBT, • Experience with monitoring logs, metrics, and performance testing for batch inference workloads, • Contributions to open-source machine learning projects, • Experience with deploying and monitoring machine learning models in production As part of our team, you'll have the opportunity to shape our MLOps practices and tools from an early stage. We'll provide you with the necessary resources and support to set up your development environment and contribute to our codebase effectively. You'll work on projects focused on building classification systems to clean and augment our data platform. This includes developing data processing pipelines, training and evaluating models, and deploying them to production. You'll also be responsible for monitoring the performance of these models and optimizing them for real-time or batch inference. If you are passionate about building robust machine learning systems from scratch and thrive in a collaborative, fast-paced environment, we'd love to hear from you. Join our team and help us establish best-in-class MLOps practices!

We are seeking a skilled Data Engineer to join our team. The ideal candidate will play a key role in designing, developing, and maintaining our data systems to ensure optimal performance and efficiency. Qualification: • 8+ plus years of experience in data engineering/ETL ecosystems with Palantir Foundry, Python, PySpark., • 5 plus years of hands-on experience working with Cloud technologies (AWS) etc., • Operational support for applications, systems, or infrastructure, • Demonstrated solid understanding of architecture best practices and enterprise-scale solution development, • Possess diversified technical background with Enterprise System Solution mindset, • Experience working with technology and business partners to develop secure and scalable solutions, • Experience working as an Agile/Technical Lead in an Agile environment, • Experience with developing solutions for data-driven applications, • Experience with Utility domain is a plus, • Demonstrated proficiency in achieving results by leading and influencing matrixed teams, • Excellent communication and collaboration skills and a strong work ethic Pay: $60.23 - $65.93 per hour Expected hours: 40 per week

Profound is an NYC-based AI startup helping brands measure and improve their visibility in AI platforms such as ChatGPT. We partner with some of the biggest brands and marketing agencies, including companies like MongoDB, Indeed, Mercury, DocuSign, Zapier, Ramp, Rho, Golin, Workable, Mejuri, Eight Sleep, G2, US Bank, Chime, and Clay. We recently raised a $20 million Series A led by Kleiner Perkins with participation from NVIDIA, Khosla Ventures, Saga Ventures, South Park Commons, and SV Angel, as well as angel investors including Guillermo Rauch (Vercel) and Andrew Karam (Applovin). Learn more at ___. Profound is looking for an experienced Data Engineer to own and scale our data platform. You will maintain and optimize our pipelines, design new ingestion processes, and support the data needs of our product, data science, and go-to-market teams. This is a great opportunity for someone who enjoys working with modern data tooling, improving performance and reliability, and building the foundation for ML-powered features. * Maintain and improve our data pipelines to keep data flowing reliably from ingestion to delivery * Optimize performance and costs across Snowflake, Clickhouse, AWS, dbt, and Dagster * Own data quality by implementing monitoring, alerting, and validation * Manage and extend our infrastructure, including orchestration and CI/CD for data workflows * Support MLOps as we develop and productionize machine learning models * Be on call for critical pipelines and respond quickly to issues * Collaborate with data scientists, product managers, and engineers to launch new data products * Proven experience designing, building, and maintaining production data pipelines * Proficiency in Python and SQL * Hands-on experience with dbt, orchestration frameworks (such as Dagster, Airflow, or Prefect), and AWS * Familiarity with Snowflake, Clickhouse, or other modern data warehouses * Strong problem-solving skills and a proactive mindset * Experience with or interest in MLOps and supporting ML workflows in production * A sense of ownership and accountability for data quality and reliability * Access to some of the most interesting and rare data assets in AI, based on real human interactions with large language models * The chance to own and shape Profound’s data platform at an early stage * The opportunity to work on meaningful problems at the intersection of AI and marketing * A fast-moving culture with autonomy, trust, and room to grow * Competitive compensation and meaningful equity This is an on-site role in our ___—designed for builders who thrive on speed, iteration, and impact. We’re happy to support visa sponsorship for qualified international candidates.

Mid-Level DevOps Engineer Compensation: $100,000-$140,000 plus equity. Comprehensive benefits included. Minimum Experience Required: 2-4 years of DevOps experience. Work Authorization: Candidates must be authorized to work in the United States. We cannot sponsor work visas at this time. Location: 100% Remote Powering Innovation at Altela: With $20 million in funding (check us out on Crunchbase!), Altela is scaling rapidly. We're looking for a talented DevOps Engineer to help us automate our infrastructure and streamline our deployment processes. Your Role: As a Mid-Level DevOps Engineer, you'll be instrumental in enhancing our development workflows and ensuring the reliability of our systems. Your expertise will help us deliver high-quality software faster and more efficiently. What You'll Do: * Implement and maintain CI/CD pipelines to automate deployment processes, ensuring rapid and reliable releases. * Manage cloud infrastructure on AWS, ensuring high availability and performance while optimizing costs. * Collaborate with engineering teams to improve development workflows and practices, fostering a culture of continuous improvement. What You Need: * 2-4 years of DevOps experience with a strong understanding of cloud technologies and infrastructure management. * Proficiency with Docker, Kubernetes, and Terraform to manage containerized applications and automate infrastructure provisioning. Bonus Points: * AWS certification to validate your expertise in cloud services and architecture. * Experience with monitoring tools such as Prometheus and Grafana to ensure system reliability and performance. Why Altela?: * Remote-first culture that promotes flexibility and work-life balance. * Competitive salary and equity to reward your contributions and commitment. * Comprehensive healthcare coverage, including health, dental, and vision, to support your health needs. * Professional development opportunities to enhance your skills and career growth. *

We are hiring a Senior DevOps Engineer on behalf of our client – a fast-paced, innovation-driven company based in New York with a startup mindset. This is a Remote position for an individual anywhere in the U.S. available to work 9am-6pm EST. This is not a managerial role, but we are seeking someone highly professional, self-driven, and capable of independently setting priorities and executing tasks. The right candidate is expected to be mindful, demonstrate urgency, and be available in emergency situations (24/7) if needed. Key Responsibilities: • Own and manage CI/CD processes with Azure DevOps: Setup, optimize, and troubleshoot workflows and pipelines., • Work fluently in AWS: Confident in managing and optimizing AWS services, with a particular focus on Lambda cost-efficiency and strategic use of newer features., • Ensure observability and operational excellence: Use Datadog to set up monitoring, alerting, and performance dashboards. Proactively identify and escalate critical issues and their impact – even up to the CEO level., • Collaborate across teams with a startup-level understanding of urgency, autonomy, and accountability., • Uphold high standards of system reliability, security, and performance. Key Requirements: • 5 to 10 years of relevant DevOps experience., • Prior experience in startup environments or similarly fast-moving cultures., • Strong hands-on expertise with Azure DevOps, AWS (especially Lambda), and Datadog., • A clear, personal understanding of what operational excellence means and how it contributes to business success., • Strong communication skills and a proactive mindset., • Willingness to participate in multiple rounds of interviews as part of the selection process. ⸻ If you’re a self-sufficient DevOps expert who thrives in dynamic environments and takes pride in maintaining high standards, we’d love to connect with you. Your application has been successfully submitted!

Deploying, automating, maintaining and managing AWS cloud-based production system, to ensure the availability, performance, scalability, and security of productions systems.Build, release and configuration management of production systems.Automated applications and MySQL container deployment in Dock

OUR STORY: Equinox Group is a high growth collective of the world's most influential, experiential, and differentiated lifestyle brands. We restlessly seek what is next for maximizing life - and boldly grow the lifestyle brands and experiences that define it. In addition to Equinox, our other brands, SoulCycle and Equinox Hotels are all recognized for inspiring and motivating members and employees to maximize life. Our portfolio of brands is recognized globally with locations within every major city across the United States in addition to London, Toronto, and Vancouver. OUR CODE: We are passionate about high performance living and we practice what we preach – investing time in our own health and fitness. We believe that everyone has untapped potential within them and it takes a disruptive approach to unleash it. We dream big and don’t settle for the status quo. We sweat the details. We never accept less than 110% to help each other deliver the Equinox experience and enable our members to get great results. We are obsessed with what’s new, what’s now, what’s next. Never following, always leading, and living ahead of the moment in fashion, culture, and consumer behavior. We aren’t just a company; we’re a community vested in each other’s success. We value humility and a team approach at every level of the company. If you are a high performing individual who is passionate about winning and inspiring others then we are excited to discuss career opportunities with you. We are seeking an experienced Data Scientist to join our team in developing and implementing advanced analytics solutions and recommendation systems. This role will focus on creating forecasting and classification models to drive business decisions, particularly in the domains of sales optimization and customer retention. As a Data Scientist on our team, you will be responsible for developing and maintaining a diverse portfolio of machine learning models, including classification, forecasting, and regression systems for critical business applications. A key focus of this role will be creating and implementing propensity models to help optimize our conversion funnels. You'll also build predictive models for attrition analysis and lifetime value estimation. The role involves extensive data exploration and analysis to support various business initiatives, working in close collaboration with our Sales, Marketing and Operations teams to understand and meet their requirements. You'll focus on automating and productionizing machine learning pipelines to ensure scalable solutions while also designing and executing experiments to measure them. Your expertise will be instrumental in driving data-driven decision-making processes across the organization. You will also be heavily involved in building content recommender systems, generative AI applications, A/B testing, natural language processing, data product development, and data platform development. Experience with developing and deploying data pipelines, software development, writing unit tests, git, CI/CD, and DAG tools will be valuable skills towards these initiatives. You will work closely with fellow data scientists, analysts, data engineers, and product managers on the broader tech team. This role reports to the Head of Data Science. • A degree in a computational field (Ph.D. preferred), • 3+ years of experience in Data Science, ML Engineering or related field, • Expertise in building models to aid business forecasting and decisions (e.g., lifetime value, churn, seasonality, likelihood to convert, utilization, pricing), • Expertise with optimization algorithms and problem formulation, • Expertise in measuring predictions via A/B tests and other experiments, • Exceptional Python experience as well as common libraries for data exploration, data cleaning, machine learning and statistical analyses, • Advanced SQL, • Databricks, • Recommender systems, • Natural Language Processing, • Cloud infrastructure (we work on AWS and deploy infrastructure using Terraform. Common services we user are Athena, Redshift, Lambda, Dynamo, S3, API Gateway, CloudWatch, Bedrock, Amazon Personalize), • Event-driven and batch data pipeline architectures, • Workflow orchestration tools (we use Prefect and Rundeck), • Version control (we use GitHub), • CI/CD build and deployment tools (we use Travis and Jenkins), • Writing unit tests, • Proven track record in developing and deploying machine learning models and predictive software applications AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: • Complimentary Club membership Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at ___ All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States.

The Company You’ll JoinAt Qloo, our cutting-edge Taste AI technology leverages extraordinary amounts of data—over half a billion records of public figures, places, and things, plus a globe-spanning consumer behavior and sentiment database—to unearth deep insights about consumer preferences. From understanding global travel trends to curating ___ based on your unique tastes, our Taste AI engine sifts through the noise to find the signals that matter. ___. Read more about our recent Series C funding ___. The Team You’ll Work With Reporting to the Director of Data Engineering, you’ll work cross-functionally across the Engineering organization to emphasize designing and optimizing data processing systems for maximum performance, efficiency, and accuracy. Our team is composed of top-notch engineers and scientists who are passionate about creating data-driven solutions that make a lasting impact. We are a growing team dedicated to advancing Taste AI. Hear what the team has to say – “The team culture at Qloo is highly collaborative and supportive, with a strong emphasis on mutual assistance. Each team member is approachable and committed to lending a hand, creating an environment where everyone feels supported and valued...” - Sreekant, VP of API Engineering. The Impact You’ll HaveYou’ll be playing a pivotal role in creating robust data pipelines that power Taste AI and make the results accessible through our API. You will be responsible for understanding the intricacies of the data sources to architect, develop, and improve our automated data pipelines. Our ideal candidate will immediately provide value by:+ Designing, developing, and maintaining automated data pipelines on Airflow using Python, PySpark, and SQL (Presto/Trino) + Ensuring data quality by being proactive in catching and rectifying quality issues in underlying data+ Collaborating with data scientists and other engineers to define data requirements and structures+ Writing unit tests and conducting system testing to ensure the reliability and integrity of data+ Optimizing data pipelines for maximum speed, scalability, and accuracy+ Staying up to date with emerging trends and technologies in data engineering, data processing, distributed computing, and data quality assurance To be a successful match, you must have:* 2 - 5 years of experience in data engineering* Bachelor's degree in computer science, software engineering, or a related field* Experience with SQL. Experience with Spark would be preferred,but not a requirement* Experience with automating data processing through Python libraries like Airflow* Strong problem-solving and analytical skills with keen attention to detail* Experience with AWS or other cloud platforms* Ability to manage multiple projects simultaneously and meet tight deadlines What We Offer* Competitive salary and equity package, and holistic perks and benefits, including:- 100% health insurance coverage, with ability to join group dental and vision for a nominal fee- Team lunches every Thursday in NYC office- 4% 401K matching- 20 paid time off days- 5 paid sick days- 12 weeks of paid parental leave- 10+ annual company holidays * Opportunities for professional development and growth within a dynamic environment* A supportive and inclusive company ethos where your ideas are valued, your contributions are recognized, and your impact is tangible* The chance to be part of a small but mighty team that's making waves in the industry and shaping the future of technology* Beautiful HQ in Soho, NYC with the opportunity to work in-office, if desired We are open to different backgrounds and tenure for this hire and compensation will be commensurate with experience. Please note that equity may also be included in our total package, depending on role and level.$120,000 - $150,000 a yearWe are open to candidates with different backgrounds and levels of experience. Compensation will be commensurate with experience, and equity may be included in the total package depending on role and level.

The Personalization (PZN) team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts and audiobooks better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search as well as original playlists such as Made For You, Discover Weekly and Daily Mix. \n What You'll Do • Design, build, evaluate, and ship ML solutions in Spotify’s personalization products, • Collaborate with cross functional teams spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and useful ways, • Prototype new approaches and productionize solutions at scale for our hundreds of millions of active usersPromote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization, • Be part of an active group of machine learning practitioners Who You Are • An experienced ML practitioner motivated to work on complex real-world problems in a fast-paced and collaborative environment, • Strong background in machine learning, natural language processing, and generative AI, with experience in applying theory to develop real-world applications, • Hands-on expertise with implementing end-to-end production ML systems at scale in Python, Java or Scala, • Experience with Pytorch and/or TensorFlow is a strong plusExperience with designing end-to-end tech specs and modular architectures for ML frameworks in complex problem spaces in collaboration with product teams, • Experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, and cloud platforms like GCP or AWS Where You'll Be • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have ___This team operates within the Eastern Standard time zone for collaboration. \n The United States base range for this position is $138,250- $197,500plus 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. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

Ro is a direct-to-patient healthcare company with a mission of helping patients achieve their health goals by delivering the easiest, most effective care possible. Ro is the only company to offer nationwide telehealth, labs, and pharmacy services. This is enabled by Ro's vertically integrated platform that helps patients achieve their goals through a convenient, end-to-end healthcare experience spanning from diagnosis, to delivery of medication, to ongoing care. Since 2017, Ro has helped millions of patients, including one in every county in the United States, and in 98% of primary care deserts. Ro has been recognized as a Fortune Best Workplace in New York and Health Care for four consecutive years (2021-2024). In 2023, Ro was also named Best Workplace for Parents for the third year in a row. In 2022, Ro was listed as a CNBC Disruptor 50. The Role: At Ro, our mission is to provide world-class healthcare by putting patients first - and that mission depends on reliable, secure, and scalable systems. As a Senior SRE on the infrastructure team, you’ll sit at the core of that effort: owning the reliability of our production systems, hardening infrastructure and building tools that empower our engineers to ship safely and confidently. You will work across teams to drive uptime, performance and observability – partnering closely with product, platform and security engineers. From designing resilient systems to shaping incident response practices, this is a role for engineers who thrive on impact and care deeply about operational excellence. • Design and implement resilient infrastructure to support high availability at scale, • Build and contribute to tools and platforms that streamline deployment, monitoring and recovery of systems, • Drive incident response and harness learnings, leading efforts to minimize downtime and improve MTTR, • Partner with engineering teams to bake best practices for reliability, resilience and observability into services, • Automate infrastructure workflows using IaC and other cloud native tools, • Champion a culture of operational excellence, guiding engineers through reliability practices and raising the bar across the engineering org, • Deep understanding of systems and infrastructure, with experience operating distributed services in production. We are mostly in AWS and leverage a lot of its primitives - EKS, RDS, Route53, S3, Elasticache to name a few, • Strong programming and automation skills - we use Python and Go, • Proficiency with infrastructure as code - Terraform / Pulumi, • A passion for observability, with hands-on experience in metrics, logging, tracing using Datadog, • Strong cross-functional communication, able to collaborate with product, platform, security and other teams, • An operational mindset that puts reliability and resilience as a core product requirement, • A mission-driven attitude, motivated by the opportunity to make healthcare better., • Full medical, dental, and vision insurance + OneMedical membership, • Healthcare and Dependent Care FSA, • 401(k) with company match, • Flexible PTO, • Wellbeing + Learning & Growth reimbursements, • Paid parental leave + Fertility benefits, • Pet insurance, • Student loan refinancing

Our mission on the Advertising Product & Technology team is to build a next generation advertising platform that aligns with our unique value proposition for audio and video. We work to scale the user experience for hundreds of millions of fans and hundreds of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities for our artists and creators. The ads measurement team is dedicated to creating scalable, reliable data and backend systems that power our advertising ecosystem. Our mission is to enable seamless delivery of personalized, impactful ads while maintaining an exceptional user experience. As part of our team, you will play a key role in shaping and realizing our vision to enhance the advertising experience for our clients and establish Spotify as a market leader in advertising. We are seeking engineers who are passionate about designing, developing, and maintaining robust and scalable systems. You will work closely with cross-functional teams to build data services and APIs that support our advertising platform, enabling innovative features and analytics. Positioned at the heart of our backend operations, you will assist product teams in driving high performance, reliability, and scalability across our systems. Our team culture emphasizes creative problem-solving, rapid iteration, execution, and collaboration. • Design, develop, and maintain high-performance backend services and APIs to power Spotify’s advertising platform, • Additionally Maintain and enhance Spotify’s measurement pipelines, ensuring they remain business-critical., • Monitor and maintain critical systems and pipelines to ensure high availability, stability, and adherence to SLAs., • Build and optimize ETL workflows to ensure data accuracy, efficiency, and scalability., • Collaborate with cross-functional teams to implement new features, ensure system integration, and drive impactful outcomes., • Write clean, testable, and maintainable code following best practices in software development., • Debug, troubleshoot, and optimize existing systems to improve performance and reliability, • Proven experience in backend and data engineering, with a balanced skill set in both domains or open to mastering both domains., • Strong programming skills in languages such as Java, Python, Scala, or Kotlin., • Hands-on experience with cloud platforms like GCP, AWS, or Azure., • Familiarity with API design, microservice architecture, and frameworks like Spring Boot or gRPC., • Knowledge of data processing frameworks such as Apache Beam, Scio, or Spark., • Experience with database systems, both relational (e.g., PostgreSQL, MySQL) and non-relational (e.g., Cassandra, DynamoDB)., • Proficiency with orchestration tools like Airflow and streaming tools like Kafka or Pub/Sub., • A commitment to agile software development practices, CI/CD, and test-driven development., • Excellent problem-solving skills with a passion for optimizing both systems and data pipelines., • We offer you the flexibility to work where you work best! For this role, you can be within the Americas region as long as we have ___, • We offer you the flexibility to work where you work best! For this role, you can be within the Americas region as long as we have

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. We're on the lookout for an accomplished Senior Data Scientist to join the Data Engineering & Analytics team at StubHub. In this role, you'll play a pivotal part in crafting and deploying cutting-edge machine learning models that drive business and operational choices within StubHub's dynamic ecosystem. Our Data Science team serves as the backbone for enabling data-driven decisions across the organization, harnessing the potential of StubHub's consumer data through statistical and machine learning techniques. This involves creating both business-facing and customer-facing products, along with delivering user-friendly tools and clear explanations for non-technical users to enhance self-service capabilities. As a Senior Data Scientist, you'll be the driving force in a business domain, steering the strategy and execution of model development. You will lead teams—first through influence and likely later through a small team of direct reports. We're seeking someone uniquely passionate about constructing models that empower data-driven decisions, equipped with robust engineering principles that enable full ownership throughout the model lifecycle. Additionally, effective communication skills to convey complex concepts to both technical and non-technical audiences are essential. This role will be based out of our New York, NY, or Los Angeles, CA office and has a hybrid (3 in-person days per week) work schedule. What You'll Do • Build and understand modeling related to one of four possible areas at StubHub: Experimentation, Forecasting, Pricing or Customer Acquisition, • Build state-of-the-art machine learning models for which you own from design all the way through to production, and communicate your results to broad technical and non-technical audiences, • Serve as a subject matter expert to the broader organization around on how to best build predictive modeling in the context of forecasting and pricing, • Find and develop your own roadmaps with business partners and carry out project management and execution of your own work, • Drive growth of junior team members and the data organization through venues such as workshops, best practices, and reading groups, • Foster a culture of inclusion, results-oriented execution, open innovation, and limitless creativity across your team What You've Done • 5-10 years of relevant data science or machine learning experience and an MS. or Ph.D. degree in math, statistics, computer science, or other quantitative fields preferred., • Proficiency with transforming and analyzing large scale data with modern cloud computing platforms (e.g.,SparkSQL, BigQuery, Snowflake, Databricks), with high proficiency with query languages like SQL, • Expert in Python or R and numerical and scientific libraries used for statistics and machine learning (e.g., Pandas, NumPy, SciPy, scikit-learn), • Experience in building production level models in cloud environments (e.g., AWS, Azure), • Demonstrated proficiency in time series modeling (GAMs, GLMs, ARs) and real-time forecasting are a nice-to-have, • Passionate about working with non-technical stakeholders to understand, anticipate, and deliver on their data needs 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., • Team-Building Events: Engage in vibrant team events that foster camaraderie and collaboration, creating an atmosphere where your professional and personal growth are celebrated. The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate’s qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub’s total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Salary Range$200,000—$275,000 USDAbout 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.