Trabajos quality engineer en Bayonne, NJ - Page 9Crear alertas

This role is not open to visa sponsorship or transfer of visa sponsorship including those on OPT and STEM-EXT OPT, nor is it available to work corp-to-corp. Red Ventures operates dozens of digital first businesses and partners with leading brands to deepen customer relationships. Our Data Engineering team sits at the center of these efforts, designing modern, trusted data platforms that power real time decision making, AI solutions, and dynamic marketing experiences. We are hiring a Senior Data Engineer within the RV’s Client Growth and Transformation team to elevate our lakehouse architecture, lead complex data product builds, and mentor a growing team. Within RVGT, you will play a pivotal role in driving client success by designing and implementing strategic initiatives that boost customer acquisition and retention. What you'll Do: • Design & evolve our cloud lakehouse - Own end-to-end architecture (AWS, Databricks) for both batch and streaming pipelines, balancing cost, performance, and governance., • Build high impact data products - Develop scalable, well tested data models that drive lifetime value, churn, and propensity insights powering RV sites and CRM activations., • Engineer reliable data pipelines - Implement Python/Spark jobs, Kafka/Spark Streaming flows, dbt transformations, and Airflow orchestration with CI/CD (GitHub Actions, Terraform)., • Champion data quality & observability - Embed Monte Carlo, Alation/Collibra policies, and unit/integration testing to keep our data trusted and audit-ready., • Enable analytics & AI - Partner with analysts, ML engineers, and GenAI teams to surface governed tables in Power BI/Tableau and to support LLM-driven agentic workflows., • Influence & mentor - Explain complex technical trade-offs to business stakeholders and guide mid-level engineers in best practices for distributed-systems design. What we're looking for: • Cloud & big data platforms - 5+ years designing and developing on AWS and Databricks data lake and lakehouse architectures, • Programming - Expert in SQL, Python/Scala, • Streaming - Hands on with Kafka and Spark Structured Streaming in production, • Data modeling & warehousing - Dimensional, data vault, and real time schemas; SQL performance tuning on data warehouses, including Snowflake and Databricks SQL, • Orchestration & DevOps - Airflow, dbt, GitHub Actions, Terraform; strong CI/CD experience, • Governance & compliance - Familiar with CCPA/SOC 2 controls; experience using Alation, Monte Carlo or Collibra, • Salesforce Data Cloud - Expert in designing, implementing and maintaining data solutions, • Data architecture - System design experience for batch and real time, • Domain experience - Prior work in consumer finance, banking or fintech, • Soft skills - Proven ability to translate technical concepts to non technical audiences; excellent written & verbal communication Preferred & bonus points: • Salesforce Data Cloud and Adobe AEP certification, • AI experience leveraging GenAI, LLM, agentic workflows, • Experience enabling marketing cloud activations or personalization use cases, • Knowledge of data mesh architecture and data as a product operating models What you’ll get from us: • Impact at scale - Your work powers decisions that touch 100 M+ consumers annually, • Modern stack - Databricks, Airflow, Kafka, dbt, Monte Carlo, Terraform - no legacy drag, • Growth & autonomy - Clear technical career paths and the freedom to innovate, • Inclusive culture - We win through diverse ideas and collaborative problem solving Compensation: Cash Compensation Range: $100,000-$180,000* *Note actual salary is based on geographic location, qualifications, and experience. Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements. • Health Insurance Coverage (medical, dental, and vision), • Life Insurance, • Short and Long-Term Disability Insurance, • Flexible Spending Accounts, • Paid Time Off, • Holiday Pay, • 401(k) with match, • Employee Assistance Program, • Paid Parental Bonding Benefit Program Who We Are: Founded in 2000, Red Ventures (RV) is home to a diverse portfolio of industry-leading brands and businesses, strategic partnerships and proprietary technology, including Bankrate, Lonely Planet, The Points Guy, BestColleges and more. Together, RV helps millions of people worldwide make life’s most important decisions, accelerates digital adaptation, and innovates the online consumer experience by improving every step of the consumer journey from first discovery of information, throughout the decision-making process, to transactions. Headquartered south of Charlotte, NC, Red Ventures employs thousands of people across the US and Puerto Rico, with international offices in the UK and Brazil. For more information, visit ___ and follow @RedVentures on social platforms. At Red Ventures, we believe diverse, inclusive teams are better. To help you better understand our core values and beliefs, we encourage you to watch this brief YouTube video: ___. This will give you insight into the principles that guide our work and our commitment to fostering an inclusive environment. We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program. Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact . If you are based in California, we encourage you to read this important information for California residents linked___. Click here for more details regarding the employee privacy policy: ___ Questions about this Privacy Notice can be directed to ___. Alternatively, you may raise any questions or concerns to your manager, HR Business Partner, or through the Privacy Team.

Role: ML/AI Developer (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 You’ll 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

Better is reimagining home finance and making it faster, cheaper, and easier for everyone to become a homeowner. We leverage creative technology and innovation to make the home buying journey more approachable and understandable and home finance more affordable and accessible. Here are some interesting facts to help you get to know Better: • We’ve funded over $100 billion in loans for our customers, more than any other fintech, • Yahoo! Finance - Best Mortgage Lender for First Time Homebuyers of January 2025: Best lender for quick approval, • Yahoo! Finance - Best Mortgage Lenders of 2025: Best online mortgage lender, • Fintech Breakthrough Award: Best Lending Innovation Award, • Money Magazine - 8 Best Mortgage Lenders of 2025: Best for fast closing, • We are Forbes’ Best Online Mortgage Lender for 2023, • We have raised over $1.2 billion in equity capital to transform the mortgage industry, the largest financial asset class in the world We are a place where smart, hungry, ambitious people who want to recognize their full potential thrive. A Better Opportunity We are seeking an experienced Senior Software Engineer to join the Artificial Intelligence team at Better, a leading digital mortgage company. As a Senior AI Engineer, you will play a pivotal role in revolutionizing the mortgage and homeownership industry. Together with the stakeholders and the team, you will be leading, crafting, and shaping artificial intelligence capabilities in our wholly owned Tinman Loan Origination System. AI will power the latest features for our Homeowner customers, Loan Officers, Underwriters, and more. In this role, you will build core artificial intelligence capabilities, including virtual assistants in both voice and chat bot form and implementing the tools these agents interact with across our vast platform. \n Responsibilities • Collaborate closely with the product team to innovate and iterate on existing services and develop new ones, with a focus on enhancing the digital mortgage origination process., • Design, develop, and maintain robust and scalable software solutions that power Better's digital mortgage origination platform, utilizing a variety of technologies and programming languages., • Implement best practices for code quality, testing, and deployment to ensure the reliability and efficiency of the digital mortgage origination process., • Work closely with the compliance team to ensure that all software solutions adhere to strict state and federal regulations governing the mortgage industry., • Collaborate with cross-functional teams to gather requirements, provide technical insights, and drive the implementation of features and enhancements aimed at improving the digital mortgage origination experience for customers and internal users., • Stay up to date with the latest advancements in software engineering, mortgage technology, and regulatory requirements, continuously seeking opportunities to enhance Better's digital mortgage origination platform. Qualifications • Master's degree in engineering preferred, • 5+ years of full stack experience. Proficient in Typescript, Python, ReactJS, developing RESTful APIs and CRUD operations., • Experience build virtual chatbots, agents, implementing tools with OpenAI or similar vendors required, • Excited to work in a fast paced, high growth startup environment., • A commitment to writing understandable, maintainable, and tested software., • A desire to deliver and a strong sense of accountability for your work., • Experience building and enhancing telephony/dialer systems, preferably using Twilio or similar platforms is a plus. \n$190,000 - $240,000 a year\n Company Benefits We are thrilled to offer all our full-time employees the following benefit offerings: • Benefits eligibility effective DAY ONE, • *$0 medical plan premium offering coverage nationwide paired with our Health Savings Account that includes an employer contribution (*Additional Medical, dental, vision plan options also all with nationwide coverage), • Flexible PTO, • Immediate virtual mental health support by licensed therapists for our employees and their eligible dependents age 6 and up! First few visits at no cost to you!, • Personalized care for every fertility and family care journey for our employees and their partner!, • Dependent care benefits (i.e. childcare and/or elder care costs) and commuter benefits both include a company match!, • Discount programs and perks including pet Insurance! In Office Perks include: • Have Lunch on us! Daily lunch stipend for meals while in the office, • Monthly social events, • NYC HQ Oculus discounts The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided. Disclaimer Better Home & Finance Holding Company is an equal opportunity employer committed to fostering an inclusive and diverse environment for our employees. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status, or any other reason protected by law. We are committed to working with and providing reasonable accommodation to applicants with physical or mental disabilities. Better will not discriminate against any qualified individual who is capable of performing the essential functions of the job with or without reasonable accommodation.

BSE Global ("BSE") is a multifaceted sports and entertainment business that brings people together to experience music, sports, and culture through our teams and venue. Through these experiences and in our workplace, we strive to elevate our business, grow our fan base, and cultivate a community anchored in belonging and inclusion in every aspect, on and off the court. SUMMARY As a data engineer, you will help lead and scale our data engineering function, driving the implementation of scalable data pipelines, platform integrations, and data architecture best practices. You’ll build end-to-end data pipelines, sustainable data products, and integrate new platforms that drive insights for ticketing, merchandising, marketing attribution, and fan engagement. The ideal candidate is enthusiastic about data engineering, detail-oriented, and eager to collaborate closely with data analysts and stakeholders across our company. This role offers an excellent opportunity to grow technical skills in a dynamic sports organization with a focus on performance and fan engagement. WHAT YOU WILL DO: • Architect scalable, robust, and cost-effective data platforms (data lake, warehouse, streaming) on cloud services (AWS, Azure, GCP)., • Lead the design, development, and deployment of AI-powered solutions by leveraging platforms such as Amazon Bedrock, Snowflake Cortex, and emerging generative AI technologies to support scalable, data-driven innovation., • Create and optimize data models and schemas tailored to business needs, enabling efficient data retrieval and analysis., • Manage and enhance PostgreSQL databases, focusing on performance tuning, stored procedures, and data quality assurance., • Foster a culture of collaboration, code quality, documentation, and continuous improvement (CI/CD, automated testing, code reviews)., • Lead efforts to improve data pipelines by identifying opportunities for increased efficiency, reliability, and scalability., • Oversee the design, implementation, and maintenance of batch and real-time ETL/ELT processes (AWS Glue, Apache Airflow, dbt, etc.)., • Ensure high availability, reliability, and performance tuning of data workflows and databases (PostgreSQL, Snowflake, Databricks)., • Collaborate with analysts and cross-functional teams to understand data requirements and deliver actionable insights., • Align with information-security, legal, and compliance teams to enforce data governance, lineage, and privacy standards., • Stay abreast of emerging data technologies (stream processing, metadata management, data cataloging) and introduce best-in-class tools., • Drive the integration of new data sources into our datalake, with a focus on automation, methodology improvements, and future scalability., • Document workflows, data sources, and pipelines to ensure transparency and ease of use for all team members., • Monitor and resolve data inconsistencies, working to enhance data accuracy and integrity., • Contribute to the development of advanced attribution models to measure the effectiveness of marketing efforts., • Continuously improve analytical tools, processes, and methodologies to advance the team's impact on decision-making. WHAT YOU WILL BRING: • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field (or equivalent practical experience). Masters degree preferred., • 6+ years of hands-on data-engineering experience, including 1-2 years in a leadership role., • Experience with SQL, especially PostgreSQL, and a solid understanding of relational databases., • Proven track record of establishing and revamping best practices for reproducible research: version control (Git), code reviews, unit testing, and documentation., • Strong understanding of data-warehousing concepts, ETL/ELT frameworks, and big-data processing (Spark, Kafka, etc.)., • Familiarity with data modeling principles and experience building data models to support analytics and reporting. Use of data modeling tools such as dbt and/or coalesce preferred., • Experience with at least one ETL tool or framework (e.g., AWS Glue, Apache Airflow)., • Proficiency in python and data wrangling techniques, with a strong understanding of data manipulation, data warehousing concepts and structures., • Experience with Snowflake, Databricks, dbt, or similar modern data-stack technologies., • Ability to document workflows clearly and contribute to knowledge sharing within the team. WHO YOU ARE: • Strong analytical problem-solver, with the ability to gather, analyze, and interpret complex data sets., • Excellent written and verbal communicator, with the ability to effectively present complex data and insights to both technical and non-technical stakeholders. TRAVEL REQUIREMENTS: Travel may be required on rare occasions (< 5% travel); may require air travel and/or overnight stay of one or more nights. SALARY RANGE: $110,000 - $125,000 WORK ENVIRONMENT: Work primarily in an office environment. We are an Equal Employment Opportunity ("EEO") Employer. It has been and will continue to be a fundamental policy of the Company not to discriminate on the basis of race, color, creed, religion/creed, gender, gender identity, transgender status, pregnancy and lactation accommodations, marital status, partnership status, domestic violence victim status, sexual orientation, age, national origin, alienage, immigration, or citizenship status, veteran or military status, disability, genetic information, height and weight, arrest or conviction record, caregiver status, credit history, unemployment status, sexual and reproductive health decisions, salary history, status as a victim of domestic violence, stalking, and sex offenses, or any other characteristic prohibited by federal, state or local laws.

We are looking for an entrepreneurial and experienced product manager with deep AI expertise to help us reimagine the antiquated industrial labor market. Traba is using AI to modernize the global supply chain. Today, our labor platform connects manufacturing and distribution facilities throughout the USA with reliable hard workers. This creates more profitable and productive businesses, and career opportunities for workers. We’re proud to be backed by the world’s best investors: Founders Fund, Khosla Ventures, and General Catalyst. Our product isn’t an app; it’s the labor we match and deploy into warehouses and manufacturing facilities throughout the USA (and eventually, the world). In addition to collaborating with software engineers, you’ll also work closely with our field teams to design, build and ship practical solutions into industrial facilities. This role reports to our Head of Product who brings over 20 years of Series A-D experience from some of the world’s most iconic and successful tech companies. * Ultimate unicorn. You're as technical as an AI engineer, as practical as an operator, and as human-centered as a designer; you champion the user, the tech, and the business. * You understand the intricacies of building a marketplace, speaking fluently about dynamics, incentives, system architecture, network effects, etc. * First-principles thinking. You spend equal time thinking about "why," "how," and "what." * You have excellent judgment on product strategy, system design, AI capabilities and platform economics; also a keen eye for marketplace growth and balance. * Business problem solver and opportunity spotter. You have an uncanny ability to identify root causes of business challenges and spot emerging opportunities before others. * AI-first problem solver. Inventive and scrappy full-stack problem solver and builder. You can probably code, and you can certainly prototype it with AI. * Deeply collaborative. You work seamlessly across teams and functions, bridging the gap between sales, marketing, operations, product, engineering, finance, design, etc. * Intuitive, analytical, adaptable, and humble. You Will: * Architect and steward our product strategy, marketplace and AI vision * Solve complex problems holistically, balancing desirability, feasibility, and viability * Write detailed product requirements and technical specifications * Rapidly validate and prove-out concepts by prototyping with AI * Evolve our product portfolio with a deep understanding of our tech stack * Scale operations by defining and co-implementing smart, efficient technical solutions * Use data and AI to uncover hidden patterns and answer key product questions * Identify and shape new opportunities into product strategy and vision * Visualize and communicate complex ideas: from system diagrams to users flows and business models * Socialize your work across all levels and departments, synthesizing diverse feedback from multiple stakeholders You Have: * 5-10+ years of experience as a product manager * Deep, hands-on experience using conversational AI, and shipping AI products * A demonstrable track record of shipping business-defining products * Strong technical abilities, including with AI (ideally you can code) * Built and executed on product vision, strategies, roadmaps and features * Deep understanding of the software development process/cycle * Deep understanding of LLMs, ML, and conversational applications/interfaces * Evidence of shipping features and products that have moved the needle * Specific experience with marketplace is a big plus - e.g. liquidity, matching algorithms, pricing strategies, and trust & safety mechanisms * Desire to work at a startup and cover an exceptionally wide surface * A strong, ambitious work ethic and the drive to build a company * Eternally optimistic, endlessly curious, and a joy to work Benefits: * Start-up equity, true ownership mindset * Competitive Salary * 100% Paid health, dental & vision coverage * Order whatever you want on DoorDash for dinner every night * Benefits: Commuter, Gympass, One Medical, and more The compensation range for this position is set between $160,000 and $180,000, reflecting our market analysis and other relevant considerations. However, exceptions may be made for candidates with qualifications that significantly differ from those outlined in the job description. Traba is dedicated to promoting Equal Opportunity employment practices. We evaluate all applicants without discrimination based on race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other characteristics that are legally protected by local, state, or federal regulations. We encourage applicants from a variety of backgrounds, experiences, and skill sets. Dream Big - We are on a path to change the world for the better. We create and communicate a bold direction that inspires a life-changing vision. We don’t sacrifice long-term value for short-term results. Olympian’s Work Ethic - Changing the world never comes easy. We work harder, longer, and smarter, not just two out of three. We put everything we have on the field. Growth Mindset - We confront the toughest challenges head-on and persevere. Sometimes we fail, but we brush ourselves off, adapt, learn, and push forward with resilience. Customer Obsession - We go the extra mile for our workers and businesses. We remain focused on delivering high-quality products and services that solve this massive and overlooked industries’ problems

___ is delivering the fastest checkouts worldwide! Our AI-powered self-checkout system is running on Apple iPads. While it is as easy to install as any app, it recognizes items within split seconds and can be adapted to any assortment within minutes. Our clients range from local university canteens to big global caterers over huge sports and entertainment venues in the US. Founded in 2019, VisioLab has shown a high growth trajectory, backed by renowned venture capital firms. Over the years, we've expanded our team to more than 15 talented individuals with diverse backgrounds and skills. Headquartered in Osnabrück, we have a global team working to shape the future of self-checkout. In a fast-growing AI startup, you will be joining the technical team. The role of a Senior iOS Engineer is pivotal in our company's product development process. You will actively contribute to the continuous evolution of our core product and ensure that deliverables meet the highest standards of quality and user experience. Our Blink self-checkout app is an iPad-only application. This means you can focus on developing for a single device and take full advantage of the latest and greatest iOS features. • Get our app ready for scaling in the global market, • Evolve our iPad only Blink App using Swift, SwiftUI and Firebase, • Integrate payment devices using direct communication over the network or Bluetooth., • Stay up to date with the latest iOS development trends, tools, and best practices, • Directly make use of those features! Our clients all run on the latest iOS version, so no backwards compatibility. Just the most beautiful and modern code., • Strong experience in iOS development, with a strong focus on Swift and SwiftUI, • Proven track record of delivering high-quality, complex applications to the App Store, • Deep understanding of iOS frameworks, including experience with both unit testing and UI testing. At VisioLab, we foster a culture of open communication, collaboration, and quick learning, enabling us to adapt and excel in a fast-paced environment. Operating in two-week sprints, we consistently deliver valuable releases to our customers, ensuring their needs are at the center of our work. We hold ourselves to high standards, striving for quality in everything we do. Continuous improvement is a key part of our philosophy, whether it’s enhancing our processes, refining our product, or growing as individuals. Our dedication doesn’t end with hard work—we believe in celebrating our successes together. Whether it’s solving complex challenges, achieving milestones, or delivering value to our clients, we come together to recognize and enjoy the results of our efforts. Being part of VisioLab means being part of a team that values innovation, collaboration, and growth, all while working toward defining the future of self-checkout in the catering industry. Application Process 1. Introductory Interview: A short call to get to know each other., 2. Portfolio Review: We review your portfolio and may ask for a short coding challenge if needed., 3. Technical Interview: Dive deeper into your previous work with the team you’ll be working alongside., 4. Founder Interview: A conversation directly with the founders to discuss your fit and aspirations., 5. Welcome to VisioLab: Celebrate your hire and start your journey with us!

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!

Created by hospitality operators for hospitality operators, Avero is the trusted technology partner for the hospitality industry. We empower 40,000+ hospitality professionals with the answers they need to transform their businesses and their lives, getting them out of the back office and into the kitchen with their staff, onto the floor with their guests, and at home with their families. We are a remote-first company with headquarters in New York City. Role OverviewAvero is seeking a Senior Data Engineer to join our growing data engineering team. In this role, you will be responsible for designing and developing scalable data solutions that empower internal teams and drive customer-facing analytics. You will work closely with our Data Architect and other stakeholders to evolve our data models and infrastructure, with a strong focus on advanced SQL, data transformation, and workflow orchestration. This is a hands-on individual contributor role with architectural influence. You’ll write production-grade SQL and Python code, collaborate on data modeling and system design, and help ensure our data pipelines are robust, efficient, and maintainable. This is a 100% remote position reporting to Avero’s Vice President of Engineering. As we continue to expand our data capabilities, there may be opportunities to grow a team around this role, offering future leadership potential for the right candidate. • An experienced data engineer with a deep mastery of SQL and strong fundamentals in data modeling, • Skilled in Python and comfortable working with modern data workflow orchestration tools like Airflow, • Thoughtful and detail-oriented, with a passion for building clean, performant, and reliable data pipelines, • Excited to collaborate with architects and product/engineering teams to shape our data strategy, • A strong communicator and problem solver, particularly in a distributed team environment, • Comfortable balancing pragmatic execution with long-term technical quality, • Design and build reliable, performant ELT pipelines using SQL, Python, and Airflow, • Collaborate with our Data Architect on data modeling, schema design, and warehouse optimization, • Develop and maintain data infrastructure to support internal analytics and external reporting features, • Ensure data quality and integrity through testing, monitoring, and documentation, • Work closely with engineering and product teams to deliver data that enables smarter decisions, • Participate in code reviews and continuously improve our data engineering best practices, • Troubleshoot and resolve issues in production data workflows as needed, • You don’t need to be an expert in everything, but familiarity with several is expected. We’ll support your growth in the rest., • Languages & Tools: SQL, Python, Airflow, dbt, • Databases & Storage: Oracle, PostgreSQL, Snowflake, • Data Infrastructure: AWS (S3, RDS, EC2), Terraform, Docker, • BI & Analytics: Looker, Tableau (bonus, not required), • Competitive pay with a strong focus on maintaining work/life balance, • Company-sponsored benefits including Medical, Dental, and Vision coverage, • Remote work flexibility (We operate as a fully remote team!), • Health Savings Account (HSA) featuring quarterly employer contributions, • Flexible Spending Accounts (FSAs) for medical and dependent care expenses, • Employer-paid coverage for Disability, Life Insurance, and AD&D, • Transit benefits available for NYC-based employees, • 401(k) retirement plan to support your financial future, • Paid Parental Leave to support growing families, • ClassPass membership to help you stay active and well

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 This is a founding Machine Learning Engineer role for our conversational AI coaching product designed for Fortune 500 enterprises, reporting into our ___. In this role you will implement, and optimize machine learning models that power our coaching insights and recommendations. This role is focused on the development and optimization of machine learning models and algorithms, optimizing the underlying ML infrastructure and model development. This role will directly impact our product's core and shape the future of AI-driven leadership coaching for Fortune 500 enterprises. 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 Myer \n What You'll Do • You will develop scalable data pipelines, optimize models for performance and accuracy, and evaluate them to ensure they are production-ready., • Develop, design and implement improvements in user experience in conversational interactions leveraging LLMs in new ways to advance product goals., • Work with the product team to analyze user behavior and prioritize evolving requirements., • Experiment at a high velocity, conducting statistical analyses, to optimize the end user experience, • Research and development on new Conversational AI approaches leveraging cutting edge LLM/NLP advancements., • Documentation of models, prompts, and processes to increase replicability and drive quality improvements., • Stay current with the latest leading research advancements in ML, LLMs, and Conversational AI, • Support other coding and feature 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 experience and theoretical knowledge of language technologies such as: dialogue/conversational systems, NLP, and Information Retrieval, • Strong foundation in data structures, algorithms, and software engineering principles., • Proficiency in Python and relevant deep learning frameworks; training (e.g. PyTorch, Tensorflow, JAX, Hugging Face Transformers/Adapters), serving (e.g., Hugging Face TGI//outlines, vLLM), • Experience with LLM model development and deployment ideally including experience with model distillation, supervised fine-tuning using RLHF/DPO, and automatic prompt tuning (e.g. DSPy, TextGrad), • Experience with cloud deployment of ML systems (e.g., AWS, GCP, Azure) including and open systems (e.g. Docker and Kubernetes) and associated ML services., • Strong analytical and problem-solving skills, • Experience structuring and running data-backed experiments, • Strong written and verbal communication skills, • 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

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. Equinox is seeking a Sr. Data Engineer to join our technology team. This role is a hands-on position responsible for the build and continued evolution of the data platform, business applications and integration tools. We are looking for a hands on engineer that can recommend best practices to work with enterprise data. The ideal candidate is going to be a hands on engineer, and very strong with AWS Products to help build out data pipelines, create jobs, manage the quality of the data warehouse and integrated tools. This is a full-time role located in our NYC office. RESPONSIBILITIES • Design, develop, and maintain scalable, efficient data pipelines to support ETL/ELT processes across multiple sources and systems, • Partner with Data Science, Analytics, and Business teams to understand data needs, prioritize use cases, and deliver reliable datasets and models, • Monitor, optimize, and troubleshoot data jobs, ensuring high availability and performance of data infrastructure, • Build and manage data models and schemas in Redshift and other data technologies, enabling self-service analytics, • Implement data quality checks, validation rules, and alerting mechanisms to ensure trust in data, • Leverage AWS services like Glue, Lambda, S3, Athena, and EMR to build modular, reusable data solutions, • Drive improvements in data lineage, cataloging, and documentation to ensure transparency and reusability of data assets, • Create and maintain technical documentation and version-controlled workflows (e.g., Git, dbt), • Contribute to and promote a culture of continuous improvement, mentoring peers and advocating for scalable and modern data practices, • Participate in sprint planning, code reviews, and team retrospectives as part of an Agile development process, • Stay current on industry trends and emerging technologies to identify opportunities for innovation and automation, • 6+ years of experience in software/data engineering, with a proven track record of building robust data systems (prior leadership or mentorship experience is a plus), • Advanced Python, including experience building APIs, scripting ETL processes, and automating workflows, • Expert in SQL, with ability to write complex queries, optimize performance, and work across large datasets, • Hands-on experience with AWS data ecosystem including Redshift, S3, Glue, Athena, EMR, EC2, DynamoDB, Lambda, and Redis, • Strong understanding of data warehousing and data modeling principles (e.g., star/snowflake schema, dimensional modeling), • Familiarity with dbt Labs and modern ELT/analytics engineering practices, • Experience working with structured, semi-structured, and unstructured data, • Knowledge of data governance, quality assurance, and observability tools to ensure data integrity and trust, • Proficiency in creating technical documentation, SOPs, and maintaining clear communication with cross-functional teams, • A problem-solving mindset, with the ability to take ownership and drive solutions from design to deployment Pay Transparency: Min $145K - Max $175K. THIS ROLE IS NOT REMOTE. AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: • We offer competitive salary, benefits, and industry leading commission opportunities for club employees, • 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 ___ 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.

Nielsen Global Media collects billions of data points on what consumers watch and buy. We study consumers in more than 100 countries, and help our clients globally identify unmet needs, develop new products and deliver them in an engaging way. We are constantly evolving, not only in terms of where we measure, or who we measure, but in how our insights can help drive profitable growth. DESCRIPTION Develop and apply machine learning and predictive models to enhance digital measurement. Engineer predictive features for use in our current data modeling pipelines. Manage projects through all phases, including data quality, analysis design, algorithm/feature development, predictive modeling, summarization, visualization, and communication of results. Enhance and evolve existing solutions to meet changing business needs with agility. Independently develop custom production level Python and SQL code. Use Git and cloud development tools extensively to iterate and improve data science work streams. Write well documented production level Python scripts and participate in code reviews. Collaborate with our software engineers and product leaders as you integrate and test new or updated modules in production pipelines. Identify gaps in data capture or data quality, and surface the value attached to filling those gaps. Perform deep dive analysis of key business trends from different perspectives and package the insights into easily consumable presentations and documents using visualization tools such as Tableau. Serve as critical Data Science subject matter expert, initiate methodology discussions with relevant stakeholders, and provide final Data Science recommendations. Remote work permitted five (5) days a week from within New York area, NY. QUALIFICATIONS: Master’s degree (foreign equivalent degree acceptable) in Mathematics, Statistics, Computer Science, Engineering, Machine Learning, Information Science or related field and two (2) years of experience in a data science role. Must have two (2) years of experience in/with: advanced coding in Python and SQL; code development using Git and code versioning; cloud-based environments, including AWS; Microsoft Excel or Google Sheets; and Tableau; building and maintaining Machine Learning or Deep Learning based methodologies. Remote work permitted five (5) days a week from within New York area, NY. Salary: $119,600 to $155,000/year, M-F, 40 hours a week. About Nielsen: Nielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. #LI-DNI #IND-DNS \n \n

Coders Connect are working with a high-growth audio AI company solving real-world challenges with cutting-edge ML and DSP. Their elite clients include top-tier AI labs and FAANG companies - and now they’re expanding their ML team. We’re hiring a Machine Learning Engineer who thrives on building production-grade ML systems, pipelines, and inference infrastructure. You’ll collaborate across product and data operations to deploy scalable solutions that transform audio into insight. What You’ll Be Doing • Design and implement advanced ML and DSP models for speech/audio, • Build robust inference pipelines and APIs, • Work cross-functionally to improve dataset quality and model performance, • Own the ML roadmap and influence strategic direction What You Bring • BSc degree in ML, data science, or engineering, • Strong applied ML experience (audio or signal processing ideal), • Proven track record of deploying ML models in production, • Python + PyTorch expertise; cloud experience (AWS/GCP) Ideal For: Candidates who can translate ML research into real-world impact - especially in fast-moving, high-growth

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 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 • Collaborate with our Product and Strategy teams to build customized reporting solutions for our clients, • Integrate new internal data sources as well as third-party APIs to enhance our reporting capabilities, • Streamline processes to allow for rapid prototyping to meet the reporting needs of new clients, • Work with our DevOps team to create monitoring which ensures data integrity, • Experiment with new tech to find the right tool for the job, • 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 • 2+ years of relevant work experience, • You have built customer–facing dashboards and reports using data visualization tools like Holistics, Looker, or Tableau, • You are comfortable writing SQL and manipulating large structured or unstructured datasets for analysis, • You’ve designed schemas and optimized queries for a data warehouse like BigQuery or ClickHouse, • You’ve built and maintained batch ETL/ELT jobs using an orchestration platform like Airflow, Temporal, or Dagster, • Familiarity with Google Cloud or AWS 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: $80,000 - $100,000, 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.

Writer is seeking an experienced developer advocate focused on technical content to join our Developer Relations team at Writer. An accomplished storyteller with a strong technical background, this developer advocate will produce world class technical content to drive awareness of Writer research and technology and adoption of the Writer platform. You will work with product marketing, lifecycle marketing, developer experience, and AI and software engineering to develop high quality technical content across our engineering blog, newsletters, launch assets, and more in a variety of mediums. When applying, please submit examples of your technical content that are relevant to your work experience (e.g. blog post, video, or related material). If you do not, your application will not be considered. * Deliver world class technical content across mediums telling the story of Writer’s research and technology. * Develop educational technical content across mediums for the Writer platform (Agent Builder, API, and SDKs) and partner integrations. * Act as our “internal journalist,” working with our AI and engineering teams to develop stories on the interesting work they’re doing that we can shout from the rooftops. * Partner with Product Marketing and Content to develop launch assets (written and video) for research paper publication, model launches, and new technology announcements. * Partner with inbound and lifecycle marketing to develop gated technical content and own developer newsletter content. * Assist other developer relations and experience team members with docs, SDKs, and event staffing when needed * Independently and proactively manage projects in coordination with the team, adhering to deadlines and contributing to our overall developer experience strategy. * Report to our Director of developer relations. * You are obsessed with technical storytelling and deeply understand the critical importance of balancing education with marketing impact. * You understand the nuances of different technical personas working in AI: researchers, developers, and IT. * You bring at least two years of experience as a developer advocate, software developer, AI/ML engineer, or related role, with a proven track record of creating impactful technical content across mediums. * You have experience with AI and ML, with additional proficiency in python. For example, you'd feel at home attending and presenting at LLM Paper Clubs. * You have strong analytical and problem-solving skills. * You quickly adapt to new domains and are able to communicate complex ideas and concepts effectively. * You are able to work independently and collaboratively. * You put the reader and viewer first, ensuring content is accessible and engaging. * Formal or otherwise documented education in machine learning, artificial intelligence, or AI engineering is preferred * Experience developing technical content for an AI company * Experience working in a fast-paced startup environment * Familiarity with building applications that use LLMs 🍩 Benefits & perks (US Full-time employees) * Generous PTO, plus company holidays * Medical, dental, and vision coverage for you and your family * Paid parental leave for all parents (12 weeks) * Fertility and family planning support * Early-detection cancer testing ___ Early-detection cancer testing * Flexible spending account and dependent FSA options * Health savings account for eligible plans with company contribution * Annual work-life stipends for: * Home office setup, cell phone, internet * Wellness stipend for gym, massage/chiropractor, personal training, etc. * Learning and development stipend * Company-wide off-sites and team off-sites * Competitive compensation, company stock options and 401k Writer is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to ___.

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

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We’re looking for Data Engineering Interns who are excited to help scale the systems and pipelines that power decision-making at Figma. As an intern on our data team, you’ll partner with engineers and analysts to design and build reliable datasets, ensure data quality, and make Figma’s data more accessible across the company. This internship will be based out of our San Francisco or New York hub. What you’ll do at Figma: • Build and maintain data pipelines that connect different data sources, • Help design foundational datasets that are trusted, well-documented, and easy to use, • Optimize pipelines for performance and scalability as Figma grows, • Partner with cross-functional teammates to understand data needs and deliver solutions, • Contribute to the tools and practices that make working with data at Figma easier Some projects you could work on: • Develop new ETL jobs to integrate product or business data into our warehouse, • Improve the performance and reliability of core pipelines, • Build reusable datasets that support experimentation, product & business analytics, or cross-functional stakeholders, • Document and simplify complex data workflows for broader use We’d love to hear from you if you have: • Experience coding in Python (or a similar language) and writing SQL queries, • Worked on projects that involved building or working with data pipelines, ETL, or large datasets, • Curious about how data systems work and want to make them more scalable and reliable, • Communicate well and enjoy collaborating with others, • Are excited to learn, get feedback, and grow as an data engineer At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. #LI-HO1 Pay Transparency Disclosure This internship role is based in either Figma’s San Francisco or New York hub offices, and has the hourly base pay rate stated below. Figma also offers interns a housing stipend and travel reimbursement. Figma’s compensation and benefits are subject to change and may be modified in the future. Internship $44.71 - $44.71 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an ___ - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to ___. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: • Holding interviews in an accessible location, • Enabling closed captioning on video conferencing, • Ensuring all written communication be compatible with screen readers, • Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with ___.

Global Property & Casualty Provider seeks an experienced Senior Data Engineer with a strong technical background and deep understanding of Property & Casualty (P&C) insurance data. In this role, you will lead the design and development of scalable data solutions that serve as the foundation for enterprise analytics and decision-making. You will help establish a single source of truth in our data lakehouse and deliver powerful data visualizations that enable stakeholders to uncover insights and take action. As a senior leader within the data engineering team, you will be responsible for architecting, designing, and implementing complex data pipelines, modeling high-quality data sets, and applying data engineering best practices. You’ll also mentor other team members and help define our long-term data strategy. Responsibilities: * Architect and implement end-to-end data pipelines, from ingestion to transformation, storage, and consumption. * Build and maintain reliable, analysis-ready data infrastructure supporting scalable business intelligence and analytics. * Apply modern data modeling techniques to support downstream reporting and analytical use cases. * Ensure high-quality data delivery by validating and testing at each stage of the pipeline. * Drive adoption of engineering best practices, including CI/CD, code reviews, and version control. * Take ownership of key data engineering initiatives and ensure timely, high-quality delivery. Data Analysis & Reporting * Partner with analysts and business stakeholders to develop and refine reporting solutions and dashboards using tools such as Power BI or Tableau. * Perform exploratory analysis to uncover patterns and trends that support strategic decisions. * Deliver clear, actionable insights that tie data to real business problems and opportunities. * Leverage knowledge of P&C insurance data (e.g., policies, claims, underwriting) to guide data modeling and transformation efforts. * Translate insurance concepts into accurate and meaningful metrics. * Experience with insurance platforms such as Guidewire is a plus * Perform exploratory analysis, identify trends and patterns and draw conclusions from data sets * Extract complex data from multiple sources into usable and meaningful reports and analysis Qualifications: * Bachelor’s degree in MIS, business administration, statistics, computer science, or related field preferred. * 10+ years of experience as a Data Engineer, Data Analyst, BI Analyst or equivalent work experience * Property and Casualty Insurance Experience Required * Proven experience designing and implementing scalable data pipelines and models * Proficiency in SQL for data querying and manipulation * Proficiency in data warehousing and ETL/ELT processes * Experience working with Azure cloud (ADF, ADLS, Data Fabric, etc.) * Experience with BI tools like Power BI, Tableau * Knowledge of database architectures and data modeling * Familiar with software engineering practices such as version control with Git, Testing, and CI/CD • U.S. Citizen or Green Card Required *

Pontera is a fintech company on a mission to help people retire better. Our software platform enables retirement savers to get the help they need managing their 401(k) and other retirement plan accounts as part of a personalized strategy by their trusted financial advisor. Pontera is used by financial advisors across the nation– from SMB to Fortune 500 RIA firms, independent broker-dealers, plan custodians, and plan advisors. Backed by leading venture capital firms including ICONIQ Growth and Lightspeed Venture Partners, Pontera is built by talented individuals who share a dedication to helping people retire with greater security. Our team is fast-growing and driven to become one of the largest fintech companies in the world. Our culture is built on a people-first principle: in a complex and numbers-driven industry, we never lose sight of the people we serve and work alongside. That’s where you come in. We are seeking a highly skilled Senior Data Engineer to join our growing team. As a Senior Data Engineer, you will own the design, build, and optimization of Pontera’s data platform - powering analytics, and data-driven product features. At Pontera, the Data Engineer plays a crucial role in designing and overseeing all BI and analytics solutions. They collaborate closely with various departments such as Product, R&D, BizDev, and Executive teams to address their data analysis requirements. Additionally, they hold responsibility for essential financial and operational metrics. This role offers the opportunity to make a significant impact in a fast-paced, high-growth environment while working on meaningful challenges that directly advance our mission. At Pontera, we leverage a modern data stack that includes Snowflake, DBT, Python and Fivetran, with infrastructure-as-code and CI/CD best practices. • Design and maintain scalable data models and schemas in DBT/Snowflake to support analytical and operational workloads., • Build, optimize, and document robust ELT pipelines in SQL, Python, dbt for batch and near-real-time data ingestion., • Implement automated data-quality testing, monitoring, and alerting to guarantee trustworthy and timely data., • Collaborate with Product and Engineering teams on event instrumentation, schema design, and data governance standards., • Tune warehouse performance and manage cost efficiency through partitioning, clustering, and workload management., • Partner with Analytics and Data Science to translate business questions into engineered data solutions., • Mentor junior engineers and analysts, championing best practices in coding, documentation, and peer review. Experience: 5+ years in a data-engineering role in the tech industry, with a proven track record of scaling data platforms in cloud environments (AWS, GCP, or Azure). * Technical Skills: Expert SQL and Python; hands-on with Snowflake (or Redshift/BigQuery) and DBT. An advantage- Orchestration tools such as Airflow; familiarity with CI/CD, Docker, and infrastructure-as-code (e.g., Terraform), Familiarity with BI tools (Looker, Tableau) from a data-engineering perspective • Data Architecture: Deep understanding of dimensional modeling, CDC, and ELT best practices; experience integrating third-party APIs and event streams., • Quality & Reliability: Demonstrated success implementing data-quality frameworks and building highly reliable pipelines., • Business Acumen: Experience in FinTech, SaaS, or high-growth startup environments is a plus., • Communication: Excellent written and verbal communication skills, able to explain complex data concepts to both technical and non-technical audiences., • Collaboration: Strong interpersonal skills and the ability to work cross-functionally across Product, Engineering, and Analytics teams., • Experience with streaming platforms (Kafka, Kinesis, Pub/Sub)., • Background in ML feature-store design or real-time data serving., • Familiarity with BI tools (Looker, Tableau) from a data-engineering perspective., • Compensation: $160,000 to $200,000 annually, • Opportunity: Have a major impact at a fast-growing startup that is revolutionizing the FinTech industry, • Team Culture: A collegial, collaborative, fun work environment with frequent team events, • Equity: All new hires are eligible for equity grant participation, • Healthcare: Comprehensive & affordable insurance benefits with a variety of plan options, • Retirement: 401(k) with employer match & employer-sponsored access to a retirement advisor, • Family Benefits: Paid parental leave & reimbursement program for family planning services (such as fertility treatments, adoption, or surrogacy, • Professional Development: Sponsored learning & development program (to cover classes, certifications, and more!), • Food Perks: Fully stocked kitchen & lunch reimbursement program, • Work Flexibility: A hybrid office work model (In-Office Tues/Weds/Thurs and WFH Mon/Fri) & generous PTO day Pontera is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Stainless is a fast-growing tech startup building the future of APIs. Our customers include industry leaders like OpenAI, Anthropic, and Cloudflare. ___ from a16z, Sequoia, and other great investors. We are currently ~20 people based primarily in NYC (just west of SoHo) and looking to grow quickly over the next 3 years. Forward Deployed AI Engineers build and deepen the technical relationship between Stainless and our most important users. You’ll work directly with some of the most innovative technology companies like OpenAI, Anthropic and Cloudflare. You’ll be the voice of the customer to the rest of the company, advocating for them and directly influencing the roadmap of the company both immediately and longer term. To excel in this role you will have strong independent judgement and can write software in a wide variety of programming languages (maybe from prior experience or picked up on the job). You learn quickly and can jump into unfamiliar contexts (and repositories) with ease. You’ll be directly contributing to some of the most used and visible codebases today and collaborating with our most important users. Overall you’ll: * Work directly with critical customers like OpenAI, Anthropic and Cloudflare to: * Evolve their SDKs through the release of new features (Run Tools, Structured Output, Streaming Helpers) * Directly contribute to their SDKs by writing custom helpers, utilities and extensions for advanced use cases like Server Sent Events, websockets and more to come. You’ll work closely with companies like OpenAI and Anthropic as a critical partner in the lead-up to all their major API launches. * Do all of this across all languages that Stainless supports, learning new languages where needed. * Build AI-powered tooling to: * configure new users’ SDKs when signing up for Stainless * translate custom tailored solutions from one language to many * write rich, purpose-built examples and demos for prospective customers * Write great docs, help build a great website, do what needs done * Write code both internally and for external customers. Some examples: * improving our SDK Codegen to handle new use-cases * writing examples and demos for new feature releases * Location: * Either: * onsite in our physical office in Hudson Square, Manhattan, New York (flexible WFH) * PST Remote You might be a good fit for this role if: * You were a founder or founding engineer of an AI-driven company and worked really closely with your customers to help understand their needs and solve them * You have broad polyglot interest/experience – comfort working across multiple programming languages, and enthusiasm to build proficiency with even more * You have experience using AI to generate high-quality code. * You have a true passion for developer experience and empathy for developers from all backgrounds (junior, non-traditional, expert power-user etc) * You love connecting with all users: learning their needs and coming up with creative solutions to solve them * You care deeply about great communication about technical subjects, from terseness of a tweet to an expanded tutorial in documentation * You’re a quick learner, self-motivated, and able to execute quickly whilst maintaining high quality * You love crafting a great product. You appreciate and show extreme detail-orientation in articulating papercuts and finding every possible corner of polish * Experience building and consuming APIs * Built and/or maintained a popular open-source project * We offer competitive salary and generous equity grants. * Great healthcare coverage options (e.g., fully covered platinum plans). * Paid commuter benefits & similar. * Paid team lunch during workdays. * Flexible PTO plus 2 weeks of companywide vacation a year.

We're Celonis, the global leader in Process Mining technology and one of the world's fastest-growing SaaS firms. We believe there is a massive opportunity to unlock productivity by placing data and intelligence at the core of business processes - and for that, we need you to join us. Celonis AI Group (CeloAI) is a newly formed organization within Celonis that is dedicated to developing state-of-the-art AI/ML (and broadly intelligent) technologies for Celonis products (e.g., the Execution Management System / EMS) and empower enterprises and institutions to make intelligent business decisions and achieve operational excellence. Our dual mission focuses on both the immediate term goals of designing and implementing advanced AI/ML product features and solutions for our customers and the long term goals of establishing competitive advantages of Celonis for execution management. We are a global organization with presence in both Germany and the US. CeloAI US has its main presence in New York, NY but also remote presences across the US. As a software engineer (machine learning), you are responsible for designing and developing product features and customer solutions, along with the underlying infrastructure, that are based on AI/ML approaches. You may interact closely with solution engineers, customer value architects, and execution management consultants within the Go-to-Market organization and product managers and software engineers within the product and engineering organization to build scalable and high quality AI/ML features and solutions for our customers. You may also be responsible for designing and implementing new foundational technical components that will power the next generation of EMS and elevate the impact Celonis has on our customers. These components may span the areas of computer vision, natural language processing, data mining, recommendation, knowledge base, business intelligence, and other AI technologies. • Deeply understand the business needs of Celonis customers, formulate the business needs into concrete technical problems, often AI related, • Determine which AI/ML approach, if any, is suited for the problem, • Design and develop scalable and high quality AI/ML models or otherwise intelligent approaches, • Design and implement scalable and robust data collection mechanisms, • Design and implement principled evaluation mechanisms, • Design and build robust and low latency infrastructure to serve the AI/ML models and meet the demands of Celonis customers, • Design and develop intelligent techniques to understand, represent, and integrate enterprise operational data (e.g., processes), • Design and build APIs and infrastructure to serve such data at scale and with low latency, • Design and implement intelligent ways to ensure freshness and accuracy of such data across thousands of enterprise customers., • Bachelor’s degree, Master’s degree, or equivalent practical experience ((in Computer Science or related fields) with 3-5+ years of experience, • PhD degree (in Computer Science or related fields) with 1-3+ years of experience, • Strong communication and collaboration skills, • Identify with the Celonis value of customer first, passionate about solving real world customer problems with a focus on finding the right solution regardless of the nature of the solution, • Passionate about developing scalable and efficient AI/ML solutions, • Passionate about building high quality AI/ML solutions with clear and repeatable evaluation mechanisms The base salary range below is for the role in the specified location, based on a Full Time Schedule. Total compensation package will include base salary + bonus/commission + equity + benefits (health, dental, life, 401k, and paid time off). Please note that the base salary range is a guideline, and that the actual total compensation offer will be determined based on various factors, including, but not limited to, applicant's qualifications, skills, experiences, and location. The base salary range below is for the role in New York, based on a Full Time Schedule. $166,000 - $204,000 USD What Celonis Can Offer You: • Pioneer Innovation: Work with the leading, award-winning process mining technology, shaping the future of business., • Accelerate Your Growth: Benefit from clear career paths, internal mobility, a dedicated learning program, and mentorship opportunities., • Receive Exceptional Benefits: Including generous PTO, hybrid working options, company equity (RSUs), comprehensive benefits, extensive parental leave, dedicated volunteer days, and ___., • Prioritize Your Well-being: Access to resources such as gym subsidies, counseling, and well-being programs., • Connect and Belong: Find community and support through dedicated inclusion and belonging programs., • Make Meaningful Impact: Be part of a company driven by strong ___ that guide everything we do: Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future., • Collaborate Globally: Join a dynamic, international team of talented individuals., • Empowered Environment: Contribute your ideas in an open culture with autonomous teams. About Us: Celonis makes processes work for people, companies and the planet. The Celonis Process Intelligence Platform uses industry-leading process mining and AI technology and augments it with business context to give customers a living digital twin of their business operation. It’s system-agnostic and without bias, and provides everyone with a common language for understanding and improving businesses. Celonis enables its customers to continuously realize significant value across the top, bottom, and green line. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide. Get familiar with the Celonis Process Intelligence Platform by watching this ___. Celonis Inclusion Statement: At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen. Your Privacy: Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ ___ Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our ___. Please be aware of common job offer scams, impersonators and frauds. Learn more ___.

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

Senior Data Engineer About Altela: Altela has secured over $20 million in funding, (available in CrunchBase) demonstrating significant investor confidence in our mission to revolutionize water treatment. We are committed to developing and delivering intelligent software and comprehensive solutions for efficient water management, including wastewater treatment, desalination, and waste-to-asset conversion. Join us as we continue to innovate and expand our impact on global water sustainability. Who You Are: You are an experienced data engineer with 5+ years of experience, specializing in building and maintaining data pipelines. You have expertise in Spark (Scala/Python), Kafka (Java/Scala), and SQL and are passionate about enabling data-driven decision-making. You are comfortable working with large-scale data processing. What You Will Do: * Design, build, and maintain scalable and reliable data pipelines. * Optimize data storage and retrieval for performance and efficiency. * Implement data warehousing and data lake solutions. * Develop and maintain ETL/ELT processes. * Monitor data pipeline performance and troubleshoot issues. * Collaborate with data scientists and analysts to provide data solutions. * Implement data governance and data quality standards. Requirements: * 7+ years of experience in data engineering. * Expertise in Spark (Scala/Python), Kafka (Java/Scala), and SQL. * Experience with cloud-based data platforms (AWS, GCP, Azure). * Knowledge of data warehousing and data lake architectures. * Proficiency in ETL/ELT processes. * Strong problem-solving and analytical skills. Benefits: * Competitive Salary * Health Insurance (Medical, Dental, Vision) * Paid Time Off (PTO) * 401(k) Matching * Professional Development Opportunities * Flexible Work Hours *

Intetics Inc. is a leading American technology company providing custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions, is looking for a Senior DevOps Engineer to enrich its team with a skilled professional. Responsibilities: o Design and build resilient Cloud infrastructures that are protected against security threats o Develop and assess Cloud security solutions to secure systems, databases, and networks o Conduct assessment and make recommendations to ensure that appropriate controls are in place o Gain insight into security incidents and threats by monitoring/analyzing logs and performing vulnerability assessments o Participate in efforts that shape the company's security policies, procedures, and standards for use in Cloud environments o Create technical and managerial level security reports for Cloud-based applications and infrastructure o Implement and test network and security Disaster Recovery procedures to ensure business continuity o Monitor the use of sensitive data and regulate access to safeguard information o Ensure the confidentiality and integrity of data during transmission, storage, and processing o Review violations of security procedures and discuss procedures with violators to ensure they are not repeated o Provide support to end users regarding network and security-related issues o BSc/MSc in Information Security or any other related field o General experience of not less than 5 years in the DevOps field o Minimum 2 years of working experience in Information Security, with a proven focus on Cloud Security o Technical knowledge of Amazon Web Services (AWS) o Proficiency with AWS services such as IAM, Organizations, SO, VPC, Transit Gateway, S3, EC2, RDS, ELB, CloudTrail, Config, Inspector, GuardDuty, WAF, etc. o Clear understanding of current threats to Cloud infrastructure and advanced knowledge of securing such environments o Expertise in DevSecOps methodologies is considered a plus o Background building and deploying applications to the cloud (AWS, Azure, etc.) using Infrastructure as Code o Ability to work autonomously with minimum supervision and to integrate well within a team o Capability to quickly learn new technologies in depth o Availability to work in CET timezone Nice to Have: o Code tools such as Terraform o Expertise in container security o Proficiency with Microsoft Azure and Oracle Cloud

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

WE HAVE CREATED A WORLD WHERE ART AND SCIENCE ARE BEST FRIENDS ___ is a modern marketing company engineered for the unprecedented opportunities and challenges facing marketers today. We are about 200+ people strong, pairing PhD data scientists with award-winning creatives, strategists, engineers and expert research teams to produce some of the most innovative and cutting-edge creative work in culture. We believe that when creative truly collaborates with science, strategy, and technology, amazing things can happen. Ad Age touted that “Known may be the ultimate example of a full-service agency,” and honored us with two prestigious recognitions this year:___. Without our incredible partnerships with our clients, spanning across the leading brands in finance, technology, entertainment, media, CPG, real estate, and many other categories, honors like this could not be possible, and also have helped us earn additional awards and recognitions over the years like: Emmys, Clios Entertainment and Sports Awards, Effies, Cannes Lions Awards, ProMax Agency of the Year, and Digiday’s Most Innovative Media Agency to name a few. We couldn’t create this award-winning work without seeking out and hiring the best talent. What does it mean to be a Knowner? We are curious innovators, knowledge-hunters who are constantly challenging ourselves to do better and be better for our clients, for our team and for our world at large. Our offices around the U.S. are open and while most of our people work in a hybrid setting, we are a distributed workforce with a number of Knowners working remotely. BUT ENOUGH ABOUT US, LET'S TALK ABOUT YOU About the role: We seek a skilled Data Engineer to join our data team and drive the development and maintenance of robust ETL pipelines, data warehousing solutions, and marketing performance reporting systems. This role is critical in ensuring our organization has a reliable, scalable, and efficient data infrastructure to support data-driven decision making across marketing and business operations. WHAT YOU’LL DO • Work closely with data scientists, product managers, and software engineers to build and maintain data pipelines for popular marketing platforms (Google Ads, Facebook Ads, etc) using Python and Argo Workflows, • Implement data validation, quality checks, and monitoring systems to ensure data accuracy and reliability while optimizing performance and troubleshooting issues, • Support automated reporting solutions using Python, • Deploy these pipelines across multiple environments with Docker, Helm, Terraform, and Kubernetes, • Ensure data warehouse scalability, performance optimization, and cost efficiency, • Integrate new data pipelines on a management UI, ensuring it effectively supports setup and maintenance tasks WHO YOU ARE AND WHAT YOU HAVE • 2-5 years of experience in data engineering or related roles, • Highly proficient with Python, SqlAlchemy, Alembic, Pytest,, • Experience with SQL and relational databases such as Postgres, • Experience with database design and optimization, • Experience integrating with marketing APIs (Google Analytics, Facebook Marketing API, Salesforce, HubSpot, etc.), • Experience with deploying data pipelines in Python, • Experience with Git, GitHub, or other version control tools USEFUL EXPERIENCE • Experience with containerized architecture (Docker, Kubernetes, Argo Workflows), • Experience with DevOps practices and CI/CD (GitHub Actions), • Experience with data warehouses (Snowflake), • Experience with cloud infrastructure (AWS), • Experience with data visualization tools (Marketing Cloud Intelligence), • Knowledge of customer data platforms (CDPs) and marketing automation tools is preferred SOME OF OUR PERKS • Unlimited paid time off, • 401k with company matching and no vesting period, • Annual bonuses, • Generous medical plan, • Paid parental leave ONE LAST THING TO ASK YOURSELF All this might sound great, but you’re probably still wondering, “Would I be a good fit for Known?” or “Would Known be a good fit for me?” Our culture is propped up by four values that we aspire to every day: We are one team. We see the good. We never stop learning. There’s always a better way. At Known we are setting out to build something more than just a company. We are building a legacy filled with exceptionally talented people with a kaleidoscope of backgrounds, experiences, and origin stories who feel encouraged and empowered to bring their whole selves to work, and to partner with us in molding and shaping our culture through our values. Known is an equal opportunity employer and does not discriminate against employees or qualified job applicants on the basis of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or locally protected class. The base salary for this position is $110K - $135K. This range is posted in compliance with state and municipal Pay Transparency laws. In addition to base compensation, this role is eligible to receive additional Known benefits. #LI-DNI

Name of position: Google Management Engineer Location: New York NY The Google Management Engineer will support the design, implementation, and operational management of the Google Admin Console to ensure a secure, scalable, and efficient mobile device management (MDM). This role encompasses the architectural design of Google device deployments, integration with Google services and on-premises environments, continuous monitoring, log analysis, and performance optimization to support the organization’s device management policies and compliance requirements. Key duties include: • Design & Deployment: Design and deploy Google management solutions, focusing on security, scalability, and compliance with organizational policies. Develop and maintain comprehensive documentation on Google Admin architecture, operational procedures, and best practices. • Monitoring & Analysis: Implement and manage monitoring frameworks for Google services using Log Analytics and other tools. Analyze operational logs and metrics to identify trends, detect anomalies, and facilitate proactive issue resolution., • Collaboration & Compliance: Collaborate with IT security, compliance, and operations teams to align Google device deployments with organizational security policies and best practices. Engage in security and compliance audits, providing necessary documentation and evidence., • Continuous Improvement: Drive continuous improvement initiatives, leveraging new Google features and capabilities to enhance device management and security. Conduct regular reviews and updates of Google device deployment strategies to incorporate evolving technologies and business requirements., • Training & Knowledge Sharing: Facilitate training and knowledge sharing sessions on Google Admin capabilities, best practices, and operational procedures to enhance team expertise. Open to candidates who hold any of the following preferred certifications: • Associate Google Workspace Administrator, • Professional Machine Learning Engineer, • Professional Cloud Security Engineer, • Experience: 5+ years of experience in Google Admin solutions. 5+ years of experience in customer service and client-facing roles. • Skills: o Proficiency with Google Admin tools. o Strong communication skills. o Detail-oriented with a focus on process and quality If you are: bright, motivated, skilled, a difference-maker, able to get things done, work with minimum direction, enthusiastic, a thinker, able to juggle and multi-task, communicate effectively, and lead, then we would like to hear from you. We need exceptionally capable people for this role for our client, so get back to us and tell us why you think you are a fit. About Us: Since 2000, Tri-Force Consulting Services (___) has been an MBE/SDB certified IT Consulting firm in the Philadelphia region. Tri-Force specializes in IT staffing, software development (web and mobile apps), systems integration, data analytics, system automation, cybersecurity, and cloud technology solutions for government and commercial clients. Tri-Force works with clients to overcome obstacles such as increasing productivity, increasing efficiencies through automation, and lowering costs. Our clients benefit from our three distinguishing core values: integrity, diligence, and technological excellence. Tri-Force is a six-time winner among the fastest-growing companies in Philadelphia and a four-time winner on the Inc. 5000 list of the nation's fastest-growing companies.

Graphite builds consumer-quality tools for modern software engineering teams, so they can ship faster and create amazing products. Our product Graphite is modern code review for fast-moving teams - we help engineers write and review smaller pull requests, stay unblocked, and ship faster. Anyone can start using Graphite individually without needing their coworkers to change tools - we seamlessly sync code changes and reviews. We started Graphite because we missed internal code review tools like Phabricator (at Facebook) and Critique (Google) that help engineers create, approve, and ship small, incremental changes, and long-term we’re passionate about creating products & workflows that help fast-moving eng teams achieve more. Our company We’re a small-but-mighty team of 40+ based in Manhattan in the heart of Soho, with a passionate and rapidly growing group of users at top engineering orgs like Datadog, Vercel, Ramp, and Snowflake. We've raised a $52mil Series B (___) led by ___, following a previous $20mil Series A from ___ at Andreessen Horowitz (who led GitHub's Series A). Other investors include folks like ___ (founder of GitHub), ___ (Planetscale CEO & ex-GitHub CTO), ___ (creator of React), and ___. Our culture centers on putting people first, applying science and craft, practicing disciplined ambition, and giving ownership - both literally (with equity) and in the responsibility and scope you’ll have as a part of our early team. Outside of work you’ll find us brewing espresso drinks, producing music, or practicing yoga. We can’t wait to see what you’ll add to the mix! About the Role Graphite is growing quickly, and we're looking for a founding AI Engineer to lead and shape the future of AI within our Diamond product. This role is focused on advancing the state of the art in applied AI, particularly in the areas of large language models (LLMs), program synthesis, and reasoning agents. You'll drive original research initiatives that push the boundaries of how AI can support engineering workflows — from context-aware code generation to autonomous technical planning. Your work will directly influence Diamond’s product capabilities and performance, with opportunities to publish, prototype, and scale cutting-edge models and systems. Rethinking the way fast-moving eng teams write and review code every day is no small feat, and we believe that the best solutions are built when most talented, ambitious, and dedicated people from diverse backgrounds come together. What you’ll do * Conduct cutting-edge research in LLMs, reasoning agents, and program synthesis, with a focus on advancing Diamond’s AI capabilities. * Design & develop prototypes and proof-of-concept models for AI applications * Translate research into practical applications by working closely with engineering to integrate models into production. * Stay current with the AI research landscape and apply insights from the latest work in transformer models, interpretability, and alignment. What we’re looking for * Proven track record in advanced AI/ML research, ideally with hands-on experience in training or post-training LLM work at a frontier lab. * Strong software engineering skills and experience building robust, scalable research or ML infrastructure. * Ability to navigate ambiguity, define research direction, and work cross-functionally to drive impact. * Someone with a deep understanding of modern ML practices. Life at Graphite * Competitive comp: ($140-200k base + substantial equity). We're backed by some of the best investors and excited to offer competitive compensation packages. * Role trajectory. We're excited to build a team whose responsibilities and comp to grow as we do. * Benefits. Top-tier health, dental, and vision coverage and 16 weeks paid parental leave. * Time to decompress. We ask that our team take 4 weeks of vacation a year to unplug and unwind. * Relocation expenses. We're an in-person, NYC-based team, and we're happy to help with your relocation expenses! * The team that eats together. Company-paid lunch, snacks, and coffee during workdays. * Commuter perks. Ride around NYC with an Unlimited Ride MetroCard, on us. As a team, we're very aware of the systemic structural issues that have created inequalities for many communities, especially in the tech industry. We recognize that women and underrepresented minorities are statistically less likely to apply for a role that they feel unqualified for. If you are interested in this role but you’re concerned about not meeting all requirements, we encourage you to apply anyway - we'd love to get to know you and see if there's a place for you here at Graphite!

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—from flagship playlists like Discover Weekly and Daily Mix to entry points like Home and Search. The Next Generation Sessions (NextGen) product area within PZN is reimagining listening beyond the playlist. We invent cutting-edge personalized sessions like AI DJ, AI Playlist, Blend, Jam, and vertical feeds for discovering music and podcasts. Our team of ~100 engineers, scientists, product managers, and domain experts in music, podcasts, and voice collaborate across New York, Boston, London, Stockholm, and remote locations from Eastern US through Central European time zones. As an MLE II / AI Engineer in NextGen, you’ll be part of a cross-functional team inventing new AI-powered listening experiences. You’ll explore emerging AI capabilities, prototype end-to-end products, and help bring new features from concept to launch to millions of users. This is a fast-paced, high-growth role ideal for someone early in their career who is eager to learn by building, collaborate closely with senior engineers and researchers, and stay at the forefront of AI applied to music and talk content. If you're passionate about the intersection of AI and music and podcasts, obsessed with exploring new AI capabilities, and excited to shape the future of audio, bring your ideas—we’ll invent the next generation of audio together. • Rapidly prototype, iterate, and ship AI-powered music and podcast recommendation experiences using the latest capabilities of LLMs, agent frameworks, and Spotify’s recommender systems, • Continuously explore and evaluate new models, tools, libraries, and product trends—bringing fresh ideas into the team from the frontiers of AI and open-source innovation, • Promote and model best practices in AI engineering—including the use of LLMs and agents to power products, advanced evaluation strategies, and AI-assisted coding tools, • Leverage AI coding assistants to rapidly prototype full-stack MVPs, • Collaborate with cross-functional partners—including design, user research, product, data science, tech research, and engineering—to bring new ideas from concept to launch, • Develop a keen eye for software quality, learning to critically evaluate AI-generated code to ensure it meets Spotify's high standards for correctness, performance, and engineering best practices, • Grow your skills with access to Spotify’s comprehensive career development resources and encouragement to develop across disciplines, • Build a strong foundation and culture in AI engineering by leveraging the state of the art, learning from mentors, pairing with Staff engineers, and shipping code that reaches hundreds of millions of users, • You’re a full-stack AI prototyper: building your own projects with modern AI tools, experimenting fast, and iterating based on feedback, • You’re fully plugged into the AI ecosystem—active in online communities, exploring open-source repos, reading papers, trying every new tool you can get your hands on, • You think end-to-end, across the stack—from designing user interactions, to wiring up backends, to building models, to deployment considerations—because you want to see ideas come to life, • You have a working knowledge of machine learning fundamentals and hands-on experience with Python, Java, or Scala and modern ML frameworks like PyTorch or TensorFlow, • You have experience fine-tuning and evaluating LLMsYou have experience building workflows that integrate LLMs and data into autonomous, multi-step workflows, • You have extensive experience crafting prompts to get the results you’re after. You know how to write, improve, and test your prompts to extract value out of LLMs, • You understand the importance of critically reviewing AI-generated code for correctness, quality, and alignment with best practices, • You may have studied AI formally—or you may have taught yourself through hands-on building and deep curiosity, • You thrive in collaborative, interdisciplinary environments and are eager to learn from more experienced engineers, • You’re good at communicating technical topics to less technical peopleYou bring contagious enthusiasm, a creative mindset, and a strong drive to shape the future of AI-powered products., • 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.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 looking for a Staff ML Engineer to join the Native Ads product area in the Music Mission. In Native Ads, we build consumer and industry-facing music promotion products which provide creators new avenues for promoting their work, reaching new audiences, and deepening their connections with fans. You will play a crucial role in shaping the future of Native Ads products, technology and business, and represent Native Ads in the continuously evolving Coordinated Promotions ecosystem by collaborating with key partners in PZN and Ads. As the Staff Machine Learning Engineer for this team, you will work with a cross-functional team to define and execute a Machine Learning technical strategy for the product area. Working with a team of Engineering Managers, Staff and Senior Staff Engineers, along with a team of engineers and partners in PZN, you will shape and drive initiatives that tackle complex problems surrounding campaign forecasting, serving observability and targeting optimization with the goal to improve overall supply and campaign performance. You will build ML-driven solutions to bring promotional music experiences to our 350+ million active users on behalf of millions of artists, using a diverse range of datasets including user behaviors, contextual data, and other signals across our broad range of mobile and connected platforms. Above all, your work will impact the way the world experiences music and the way creators connect to their fans! • Lead the creation of a Machine Learning Engineering Strategy for Native Ads, • Contribute to designing, building, evaluating, shipping, and refining Native Ads products via hands-on ML development, • Collaborate with a cross functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans., • Prototype new approaches and productionize solutions for Spotify For Artists customers, • Help drive optimization, testing, and tooling to improve quality., • Work closely with Personalization and Music Tech Research teams to ideate and innovate on Music Promotion Tools, • You have a strong background in machine learning, with experience and expertise in machine learning algorithms., • You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages., • You have experience or a strong interest in emerging agent technologies and generative recommender systems, • You care about agile software processes, data-driven development, reliability, and disciplined experimentation, • You enjoy leading projects from start to finish working closely with your team and peers. You are comfortable dealing with ambiguity on high impact projects, • Be accountable to senior tech leadership for meeting our product and technology objectives and managing expectations if those are at risk, • Passion for the opportunity to better serve artists & their teams, • Team-first approach with developed techniques to ensure teams are happy, motivated, and productive, • A plus if you have experience with Ads systems, • 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

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

We at ___ have built an AI agent that users can invite into group conversations to make planning, coordination, and information retrieval effortless. It's early days for this specific Continua product, but we think we're onto something. You can try adding 903-320-4371 to group texts to kick its tires! We've seen extremely rapid growth over the last month, and are looking for someone who can help us improve the quality of our user experience and scale to the next level. You're an experienced machine learning engineer with broad knowledge and skills in natural language processing (NLP) and LLMs. Or a software engineer who excels at the frontend or backend (or both). Or maybe you're a product manager who loves to help engineering teams build. Whatever you're best at, we'd love to meet you! ___ of accomplished engineers and researchers from Google, Slack, Disney, and AI startups. We're pretty clued in on the technology side and have a strong vision of how the transformative technology of the last few years along with our own secret sauce (not just a ChatGPT wrapper) can help a huge number of people. We compensate with a competitive salary and equity, health benefits, 401k, and the opportunity to help shape the future of AI agents during this transformative moment in computing history! Our team is currently based in Seattle, WA and New York, NY. Our opportunities are mostly on-site at our offices, 3 days per week. To be considered for a future opening, please submit your application at the link below. We welcome referrals! If you know someone exceptional, please email us at ___ We welcome referrals! If you know someone exceptional, please email us at

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. *

At ___, we've built an AI agent that users can invite into group conversations to make planning, coordination, and information retrieval effortless. It's early days for this specific Continua product, but we think we're on to something. Try adding 332-286-3377 to group texts to kick its tires! We've seen extremely rapid growth over the last few months, and are looking for someone who can help us improve the quality of our agent experience and scale to the next level. You'll work on building and improving the best LLM group chat experience there is. This includes: * Fine-tuning models to boost conversational quality and improve scalability. * Owning new ideas for engaging features and working across the stack (i.e. not just in Jupyter notebooks) to take them from concept to production. * Identifying novel ways to build a "memory" which leads to a personalized and unique experience for our users. * Leading technical decision making to find solutions which are both innovative and practical. You're an experienced (Senior/Staff) machine learning engineer with broad knowledge and skills. You're detail-oriented when it matters to make sure things get done right, but also know how to strike the balance between speed and perfection in a fast-moving startup environment. You: * Have experience fine-tuning LLMs for both generative and discriminative use cases. * Have created datasets for such fine-tuning (human-labeled or synthetic). * Know the pitfalls and tricks for building with LLMs * Are experienced writing Python, and using an ML framework such as Pytorch, Jax, or TensorFlow. * You know how to work independently to handle ambiguity. * Have a PhD in Machine Learning (or a Master’s or Bachelor’s with exceptional industry experience). * Have at least a few years of experience working in fast-moving startups. * Are based in Seattle, San Francisco, or New York. ___ of accomplished engineers and researchers from Google, Slack, Disney, and AI startups. We're pretty clued in on the technology side and have a strong vision of how the transformative technology of the last few years along with our own secret sauce (not just a ChatGPT wrapper) can help a huge number of people. We compensate with a competitive salary and equity, health benefits, 401k, and the opportunity to help shape the future of AI agents during this transformative moment in computing history! To apply, please complete the application and answer the short questions that follow. The more you answer, the better. If something doesn’t apply to you, feel free to say “N/A.” We welcome referrals! If you know someone exceptional for this role, please email us at ___ We welcome referrals! If you know someone exceptional for this role, please email us at

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

Partner with engineering to instrument events, maintain data pipelines, and uphold high data quality and observability. Profound is an NYC-based AI startup helping brands measure and improve their visibility in AI platforms such as ChatGPT. As an AI/ML Engineer, you will design, build, and ship larg

This position is posted by Jobgether on behalf of Shiftsmart. We are currently looking for a Staff Data Engineer in New York. This role offers a unique opportunity to lead the design, development, and governance of scalable data platforms within a fast-growing technology environment. As a key member of the core platform engineering team, you will provide technical leadership in building reliable and compliant data systems that empower a global workforce marketplace. Your expertise in data architecture, governance, and software engineering will directly impact business success by ensuring data integrity and privacy. Collaboration and innovation will be central as you mentor others and drive continuous improvement in data processes. Accountabilities: • Provide technical leadership and guidance in designing data solutions aligned with business and governance requirements., • Develop scalable and compliant data architectures including data warehouses, big data platforms, and databases., • Champion data governance practices such as data lineage, metadata management, quality controls, and privacy compliance., • Collaborate with stakeholders to translate needs into robust data systems and tools., • Optimize data processing performance and automate workflows to improve efficiency., • Mentor junior engineers and promote a culture of governance awareness and compliance., • Maintain thorough documentation and share knowledge across teams to support continuous improvement and innovation., • 8+ years of software engineering experience focused on data engineering and large-scale data systems., • Strong proficiency with technologies such as MongoDB Atlas, Google Cloud Platform (GCP), BigQuery, Prefect, Typescript, and Python., • Deep understanding and practical experience with data governance frameworks and compliance regulations., • Proven ability to design and implement scalable data architectures with a focus on governance and security., • Excellent software engineering skills and modern development best practices., • Strong analytical and problem-solving skills, with the ability to communicate complex technical concepts clearly., • Leadership experience mentoring teams and driving successful project outcomes., • Bachelor’s or master’s degree in computer science, engineering, or a related field., • Competitive salary range between $175K – $225K, plus equity options., • Comprehensive healthcare coverage including 100% employee premiums for medical, dental, and vision., • 401(k) program with a company match., • Generous paid parental and family leave policies., • Pre-tax commuter benefits and a collaborative office environment in Manhattan (optional onsite)., • Opportunity to work fully remote with a company at the forefront of workforce technology innovation. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

We are seeking a Senior Software Engineer (Full Stack) to join our Fanatics Collectibles tech team. Design, build, and optimize scalable full stack solutions using modern web technologies. As a Senior Engineer, you will be expected to actively contribute production-quality code across multiple layer

Carry out support and troubleshooting activities for other QA staff performing tasks such as; design of test scenarios, development of automation scripts, etc. Under executive direction of the Assistant Deputy Commissioner for DHS Technology, with wide latitude for the exercise of independent judgme

Start designing tomorrow's future!.Buro Happold has an exciting opportunity for a talented and experienced Mechanical Engineer to join our hybrid team in New York City!.The Associate Mechanical Engineer will lead the design of mechanical systems and manage a team to deliver high-quality solutions.Yo

We are looking for an Applied Research Engineer who is passionate about developing and optimizing solutions to create, maintain and ship scalable and high-quality model assets for a multitude of languages that power Apple's Machine Translation products such as Translate App, Safari web translation a

An Innovation Labs Digital Assets Platform Senior Engineer must be a highly motivated and proactive hands-on engineer obsessed with quality (Quality Engineer), have a proven ability and experience working with enterprise applications within the financial services industry. The successful candidate w

Quality Engineering Android | Manual Testing | Charles Proxy | JIRA Must Have Technical/Functional Skills. Collaborate with developers, product managers, and other QA engineers to ensure high-quality releases.

We are looking for a highly skilled and hands-on Software Engineer to drive modern engineering practices and technology transformation within the back-office trading application.You will play a critical role in designing, developing, and maintaining scalable, high-quality software solutions while en

As a Solution Engineer, you will be engineering full-stack AI-driven web applications on the C3 AI Platform. C3 AI is seeking Solution Engineers. Work closely with product management and engineering to drive improvements to the overall quality of C3 AI software.

Bachelor's degree in quality management/engineering, Civil Engineering, Industrial Engineering, or other related math/science or project management discipline and. Ranked among the nation's top A/E firms by Engineering News-Record, LiRo-Hill provides construction management, engineering, environment

Master's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field and 1 year of experience in the job offered, or Programmer/Analyst, Quality Assurance Engineer, Software Test Developer related occupation. Employer will accept a Bachelor's degree or foreign equi

The Fountainhead Group (FGI) is undergoing a major supply chain realignment, including product repatriation, to strengthen resilience and reduce risks associated with global sourcing.To support this critical initiative, we are seeking a dedicated.FGI's rigorous quality standards.This role is essenti

Quality Assurance Engineer IT coordinates all of the planning, execution and recap functions involved in testing and injecting quality safeguards into the development and deployment of software applications. Moderate quality assurance experience with solid organizational skills and a basic knowledge