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Job Description As a Prompt Engineer focused on Data Science and Quality Analysis, you’ll design, test, and evaluate prompts for AI systems that interact with real-world restaurant data. You’ll work cross-functionally to develop AI solutions that drive operational efficiency, improve data interpretation, and support smarter decision-making for restaurant operators. Your work will directly shape how AI models perform in high-stakes, dynamic environments like order processing, reporting, support automation, and performance analysis. Essential Job Functions: • Prompt Design & Evaluation: Develop, test, and refine prompts for tasks such as text generation, question answering, data classification, and structured data extraction to optimize Voice AI performance., • Data-Driven Analysis & Quality Measurement: Design evaluation frameworks and analyze prompt outputs using quantitative metrics, human-in-the-loop evaluation, and user feedback to identify improvement opportunities., • Experimentation & Iteration Conduct experiments to test prompt variations, measure their business and operational impact, and iterate to enhance accuracy, consistency, and safety., • Regression Testing & Compliance Build principled regression test suites using tools like LangFuse and Galileo to ensure prompts remain compliant and high-performing as models and use cases evolve., • Collaboration Across Teams: Work closely with data science, product, legal, engineering, and operations teams to align prompt designs with business goals, operational workflows, and compliance requirements., • Model Adaptation & Strategy Development prompts across multiple LLMs (GPT, LLaMA, Gemini, and Checkmate’s fine-tuned models), understanding model differences to optimize outputs effectively., • Team Leadership & Mentorship Lead a team of analysts focused on prompt evaluation and data quality analysis, guiding prioritization, experimentation, and reporting. Collaborate with ops teams for seamless deployment and feedback loops., • Strong analytical and data science skills, with hands-on experience in Python (pandas, NumPy, scikit-learn), • Experience designing and conducting experiments and evaluations in applied AI or NLP contexts, • Proficiency in SQL and working with relational databases (e.g. MySQL, PostgreSQL, Oracle, MS SQL), • Good understanding of data processing, quality measurement, and testing fundamentals, • Experience leading analyst or operations teams, with strong prioritization, mentorship, and collaboration skills, • Strong problem-solving mindset with a drive to explore, optimize, and automate workflows, • Excellent communication skills for presenting insights to technical and non-technical stakeholders, • Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, or a related field, • Flexible to work US hours until at least 6 pm ET, with a strong remote setup Preferred Qualifications • Experience with LLM evaluation and prompt engineering workflows, • Familiarity with tools like LangFuse and Galileo for prompt evaluation and analysis, • Knowledge of cloud platforms (AWS, GCP, Azure) and data pipeline tools, • Familiarity with machine learning concepts and NLP workflows, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k), • Life Insurance (Basic, Voluntary & AD&D), • Flexible Paid Time Off, • Family Leave (Maternity, Paternity), • Short Term & Long Term Disability, • Training & Development, • Work From Home, • Stock Option Plan

Job Description Machine Learning Engineer (15265-1) Newark, NJ Experience level: Mid-senior Experience required: 7 Years Education level: Bachelors degree Job function: Information Technology Industry: Information Technology and Services Pay rate : Total position: 1 Relocation assistance: No Visa sponsorship eligibility: No Only local candidates can apply. Job Description: As a Machine Learning Engineer, you will play a pivotal role in driving the development and implementation of cutting-edge machine learning solutions for our client. Your responsibilities will encompass a wide range of tasks, from leading a small team of machine learning engineers to collaborating with cross-functional teams to deliver impactful solutions. You will be at the forefront of driving innovation and leveraging the power of machine learning to solve real-world problems, drive business growth, and create value. Key responsibilities: • Lead and drive machine learning projects from inception to production: build relationships with business partners and cross-functional teams., • Collaborate with business leaders, subject matter experts, and decision-makers to develop success criteria and optimize new products, features, policies, and models., • Partner with data scientists to understand, implement, train, and design machine learning models., • Collaborate with the infrastructure team to improve the architecture, scalability, stability, and performance of ML platform., • Construct optimized data pipelines to feed machine learning models., • Extend existing machine learning libraries and frameworks., • Develop processes, model monitoring, and governance framework for successful ML model operationalization., • Define objectives for the Machine Learning platform, own the technical roadmap, and be accountable for delivering results., • Define standards for engineering and operational excellence for running best-in-class ML platforms and continue to improve ML platforms to keep up with the latest innovations., • 7+ years of experience in Machine Learning., • Extensive software engineering experience with strong working experience as a Machine Learning Engineer., • Bachelor's degree in computer science, computer engineering, or a related engineering field. Masters degree preferred., • Advanced proficiency with Python, Java, and Scala., • Strong computer science fundamentals such as algorithms, data structures, multithreading., • Experience working with Generative AI, using LangChain for Gen AI and techniques like RAG., • Experience using ML and DL Libraries:XGBoost, SKlearn, Tensorflow or PyTorch, • In-depth experience building solutions using public clouds such as AWS, GCP., • Experience using ML platforms like SageMaker, H2O, DataRobot, etc., • Strong knowledge on ML model development life cycle components like containers, batch vs real time inference endpoints, application security testing etc., • Experience managing relationships in a cross-functional environment with multiple stakeholders., • Experience with developing and deploying production-grade applications with ML inferences using automation pipeline on cloud., • Experience working in Agile/ Scrum development process., • Thought leadership and innovative thinking., • Please submit the candidate's resume in PDF format., • Please remove the candidate's LinkedIn URL from the resume; otherwise, the profile will not be considered., • Please note that TCS does not consider former full-time employees (FTEs) for rehire. Additionally, individuals who have previously worked at TCS as contractors must observe a minimum waiting period of six months before being eligible for re-engagement.

Job Description Continua has launched an AI agent that users can invite into group conversations to make planning, coordination, and information retrieval effortless. We were recently written up in this TechCrunch article. We've seen rapid growth over the last quarter, and are looking for someone who can help us improve the quality of our agent experience and scale to the next level. This position is based at our office in New York, NY. We are on-site 3+ days per week. As a Full-Stack Software Engineer, you will be responsible for building and scaling our AI-powered group conversation platform. You'll work across our tech stack, including Python and Go backend services, Postgres databases, and React frontend applications. You'll collaborate closely with the rest of our team to integrate cutting-edge AI models into user-facing features that delight our rapidly growing user base. We're seeking an experienced engineer who can balance technical excellence with product intuition, making smart UX decisions that help us move quickly in a fast-paced startup environment. What you’ll work on: * Designing and implementing robust APIs and backend services using Python and Go to power our AI agent platform * Designing and optimizing how our data is stored to handle our growing user base * Working with our ML engineers to integrate AI models into production systems, writing the code that connects our models to user experiences * Building responsive, intuitive React applications using Tailwind CSS * Partnering with our CEO, product manager, and designer to translate requirements into technical solutions, using your judgment to make good UX decisions when moving fast * Ensuring our applications can handle rapid user growth while maintaining excellent performance and reliability Who you are: * 5+ years of full-stack software engineering experience * Solid experience with SQL and database design, preferably with Postgres experience * Experience building modern web apps with React and CSS frameworks like Tailwind * Strong product intuition and design fundamentals * Proven ability to take ownership and thrive in a fast-moving startup environment Nice-to-haves: * Experience integrating machine learning models into production applications * Familiarity with Google Cloud Platform (GCP) and infrastructure tools like Terraform * Background in AI/ML or natural language processing * Experience building real-time or conversational applications * Previous experience at high-growth startups or building products from 0 to 1 A little about us: Our team is a fantastic bunch of accomplished engineers and researchers from Google, Disney, and various 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. Compensation & Benefits: 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 opportunities are on-site, 3 days per week. To apply: To be considered for an opening, please submit your application at the link below. We welcome referrals! If you know someone exceptional, please email us at .

Job DescriptionAI Systems Engineer Title: AI Systems Engineer Location: FULLY remote! Salary: $175k-$250k base + RSUs + Full Benefits Requirements: 3+ years of Systems Engineering/DevOps/AI Infrastructure, AI, Python/Golang/Rust, and HPC experience Our HPC infrastructure goes beyond just the GPU - allowing companies to train, iterate, and deploy AI & ML projects faster than ever! We specialize in high-performance GPU cloud solutions tailored for AI & ML projects and cutting-edge infrastructure (including GPU clusters, high-speed networking, and scalable storage) to support demanding workloads. Our services are designed to optimize performance, reliability, and affordability for AI researchers, ML engineers, and enterprises. We're currently experiencing MASSIVE GROWTH... Our revenue grew over 95% in the last YEAR! We have made several acquisitions and formed several partnerships during this period of growth, and we need YOUR HELP to keep it going... We're currently seeking a talented and highly motivated AI Systems Engineer to design, build, and optimize the infrastructure that powers AI-driven applications. You'll work at the intersection of hardware, software, and data - enabling efficient deployment of AI models and solutions at scale. The ideal candidates have a strong background in systems engineering, high-performance computing, software defined networking, and general software development, with some experience in machine learning and deploying/maintaining AI systems in production. What You'll be Doing • AI Infrastructure Design and Development:, • Design and implement scalable AI/ML infrastructure., • Optimize AI pipelines for performance and reliability., • Integrate AI models using CI/CD best practices., • Model Deployment and Optimization:, • Deploy AI models in various environments (cloud, edge, on-premises)., • Optimize inference performance for latency, throughput, and energy efficiency., • Use tools like TensorRT and ONNX to accelerate models., • Systems Engineering:, • Maintain HPC clusters, GPUs, and distributed systems., • Develop tools for system monitoring and troubleshooting., • Ensure AI system reliability through proactive maintenance., • Collaboration and Cross-Functional Work:, • Align AI systems with overall product architecture., • Support AI researchers with efficient data pipelines and computing environments., • Security and Compliance:, • Ensure compliance with security standards and data privacy regulations., • Secure sensitive data and models in production., • Emerging Technology Integration:, • Stay updated with AI and machine learning advancements., • 5+ years of Systems Engineering, DevOps, or AI/ML Infrastructure experience, • 2+ years of experience in High Performance Computing, • Experience building cloud computing platforms (from scratch is a huge plus), • Hands-on experience with AI frameworks (TensorFlow, PyTorch, etc.), • Experience deploying AI/ML models in production environments, • Strong knowledge of distributed systems & HPC for AI workloads, • Experience with containerization & orchestration tools (Docker, Kubernetes, etc.), • Programming skills in Golang, Python, or Rust, • Familiarity with AI platform tools (Mosaic AI, Run.AI, SageMaker, Vetex AI, etc.), • Familiarity with Infiniband and/or RoCEv2 networking, & NCCL, • Proficiency in using AI hardware accelerators (GPUs, TPUs, etc), • $175k - $250k/year DOE, • RSU's, • 5 weeks PTO, • 401k w/ match, • Comprehensive Benefit Plan - For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This job was first posted by CyberCoders on 08/05/2025 and applications will be accepted on an ongoing basis until the position is filled or closed.CyberCoders is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at to make arrangements.

Job Description 📍 Working arrangement: United States (Remote - work from anywhere in the United States) Build Intelligent Systems from Model to UI - and Everything in Between At BJAK, we’re using AI to reinvent how financial services work across Southeast Asia - making them smarter, simpler, and more inclusive. As a Full Stack AI Engineer, you’ll bridge machine learning and software engineering to deliver real AI-powered features into users’ hands. This is a remote role based in the US, working closely with our Malaysia HQ and cross-functional regional teams. You’ll operate across the stack - from backend logic and ML integration to frontend delivery - building intelligent systems that scale fast and matter deeply. Why This Role Matters * You’ll be the critical link between AI models and user-facing experiences * Your work will shape how millions of people interact with smart financial services * You’ll architect and deliver full-stack systems that combine backend, ML, and frontend layers * You’ll thrive in a lean, high-impact team where speed, ownership, and collaboration are everything What You’ll Do * Build and deploy full-stack applications that incorporate ML models * Work with data scientists and ML engineers to integrate models into scalable backend systems * Develop APIs, backend services, and real-time data pipelines for intelligent features * Design clean, performant, and intuitive UIs that surface AI insights to users * Own the full development lifecycle - from architecture and testing to deployment and monitoring * Collaborate with product, design, and engineering teams to ship polished, end-to-end solutions * Continuously improve the performance, usability, and reliability of AI-integrated applications You’ll Thrive Here If You... * Own the outcome, you care about impact, not just lines of code * Solve problems end-to-end, from data and systems to UI and user flow * Build fast and iterate even faster, V1 out now beats V3 someday * Move forward even in chaos, ambiguity, shifting priorities, and lean resources excite you * Think like a founder - you don’t wait to be told, you figure it out and ship * Learn aggressively, new tools, frameworks, and failures fuel your growth * Have the humility to learn from others and the drive to help them grow * Bring energy, clarity, and execution - and raise the bar for your team every day Requirements * Bachelor’s degree in Computer Science, Software Engineering, or related field * Strong proficiency in Python is a must * 2 - 4 years of experience in full stack development (frontend + backend) * Strong programming skills in JavaScript (Node.js, React, or similar) * Experience integrating ML models into production systems * Familiarity with REST APIs, cloud deployment, and scalable architecture * Comfortable working with SQL/NoSQL databases and distributed systems * Strong grasp of software design patterns, testing, and debugging * Must be based in the US and open to remote collaboration with international teams Nice to Have * Experience deploying ML models using tools like FastAPI, Flask, or TensorFlow Serving * Familiarity with modern frontend stacks like Next.js, Vue, or TypeScript * Exposure to ML tools like MLflow, Airflow, Docker, GCP, or AWS * Background in high-growth startups or agile product teams * Interest in explainable AI, visualizations, or surfacing complex ML outputs to end users What You’ll Get * Competitive salary and performance-based bonuses * Remote-first setup with flexibility to work from anywhere in the US * High-impact, high-ownership role in a product-led AI company * Flat structure - your ideas are valued, and your code is seen * Fast-track growth with real visibility across engineering, data, and product * Regional exposure across Southeast Asia and the chance to shape products at scale About BJAK BJAK is Southeast Asia’s largest digital insurance platform. Headquartered in Malaysia and operating across Thailand, Taiwan, and Japan, we help millions of users access affordable financial protection through smart, AI-driven systems. We simplify complex financial products through automation, recommendation engines, and intelligent APIs - making them more accessible, transparent, and fair. If you're excited to bring AI to life through full-stack engineering - and thrive in a fast-moving, high-ownership environment - we’d love to hear from you.

Job DescriptionFrontend Engineer – AI-Powered Healthcare Technology New York, NY | Full-Time | Onsite/HybridAbout the Client Our client is a fast-growing technology company at the forefront of applying artificial intelligence to the healthcare sector. Their platform leverages data science and machine learning to improve patient outcomes and empower healthcare professionals with actionable insights. As they continue to expand, they are seeking a talented Frontend Engineer to join their New York-based team. About the Role This is an opportunity to join a high-impact engineering team focused on building modern, responsive web applications that bring complex healthcare data to life. In this role, you'll collaborate closely with design and product stakeholders to craft intuitive interfaces that deliver AI-driven insights in a user-friendly format. This position is ideal for a frontend developer who is passionate about clean code, scalable design systems, and building experiences that truly make a difference. Responsibilities * Develop and maintain robust frontend applications using TypeScript, React, and Next.js * Transform wireframes and mockups into responsive, accessible, and pixel-perfect UI components * Optimize web performance for speed, scalability, and responsiveness across devices * Integrate frontend applications with backend APIs and data pipelines * Contribute to code quality through reviews, testing, and adherence to modern development practices * Stay current with the latest frontend trends, frameworks, and tools Requirements * 4+ years of professional experience in frontend development with a focus on React, TypeScript, and Next.js * Strong visual and UX sensibility, with a track record of translating design concepts into polished user interfaces * Solid understanding of performance optimization, accessibility standards, and web best practices * Experience integrating with REST or GraphQL APIs and working with state management libraries such as Redux or Zustand * Familiarity with server-side rendering (SSR) and static site generation (SSG) techniques * Bonus: Experience with data visualization, AI-enabled interfaces, or healthcare-related platforms Benefits & Why Join * Build meaningful technology that directly impacts the healthcare industry * Work alongside a team of passionate engineers, designers, and product leaders * Competitive compensation package, comprehensive benefits, and growth opportunities * A collaborative culture that values creativity, initiative, and continuous improvement

Job Description 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. StubHub is committed to providing a secure and seamless experiences for our customers. As a Senior Software Engineer on the Customer Identity Engineering team, you will work on improving and maintaining the core systems that authenticate and authorize users across our platforms. You will also collaborate with data scientists and other engineering teams to build and implement advanced detections to identifyty and prevent Auth-N / Auth-Z abuse. You'll have the opportunity to work with cutting-edge security protocols, contribute to improving the reliability and performance of our identity services, and help ensure that our customers' accounts remain secure. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Santa Monica, CA About the team:StubHub's Customer Identity Engineering team plays a critical role in ensuring the safety of our users by maintaining and enhancing our authentication and authorization services through the use of security best-practices and first-class software engineering What You'll Do: • Design, build, and maintain scalable authentication and authorization services., • Implement security features to protect against common vulnerabilities (e.g. OWASP top 10), • Collaborate with data science teams to integrate machine learning models aimed at identifying and preventing suspicious login activity., • Monitor and improve the performance of identity-related services., • Investigate and troubleshoot issues related to account security, user identity, and authentication failures., • Drive improvements in security protocols, performance optimization, and user experience., • 5+ years of experience in software engineering, ideally with a focus on authentication, authorization, and identity services., • Proficiency in backend development using languages such as Java, C#, or Python., • Experience working with security protocols such as OAuth, SAML, OpenID Connect, and WebAuthN., • Familiarity with building and maintaining scalable, distributed systems., • Experience working with databases, both relational (e.g., MSSQL, MySQL, PostgreSQL) and NoSQL (e.g., DynamoDB, Cassandra)., • Understanding foundational concepts of machine learning (Supervised / Unsupervised) and the ability to collaborate with data scientists on implementations., • Working Knowledge of cloud platforms (AWS, GCP, Azure), hands-on experience building and owning a cloud optimized service., • Expert experience with containerization and hosting technologies (e.g., Docker, Kubernetes)., • Familiarity with monitoring and alerting tools such as Prometheus / Grafana., • 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.

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. We are seeking a talented Senior Data Engineer to join StubHub's Data team. In this role you will be responsible for designing and building the underlying systems and pipelines for centralizing StubHub's internal plus third-party data. Our team's goal is to empower organizations across the company to transform data for analysis and reporting, new product development, experimentation, and machine learning. This includes developing the core infrastructure for the data lake and data warehouse, creating foundational data models and data pipelines, and building shared tooling to ease the process of creating high-quality, trustworthy data assets. As a Senior Data Engineer on the Data Platform team, you will contribute to core infrastructure, frameworks, and analytical data layers. You will also play a key role in defining the culture and expectations of what great data engineering looks like, and mentoring others on the team to reach that bar. We are looking for the right person that is passionate about the power of both data and software development fundamentals, and can use them in tandem to create a data ecosystem that is principled, maintainable, and extensible to the hypergrowth happening at StubHub.You will specialize in one or more business domains, building deep expertise and anticipating the needs of that business vertical. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Santa Monica, CA What You'll Do: • Build and operate scalable data pipelines with robust QA, monitoring, and alerting, • Create shared tooling to improve data practitioner (data engineering, analytics engineering, data science) productivity and quality across the company, • Influence the direction for key infrastructure and framework choices for data pipelining and data management, • Contribute to core cross-functional data models, • Launch data platform features that have immediate impact on the velocity of innovation and ultimately growth of the business, • Manage individual initiatives—Setting priorities, deadlines, and deliverables based on your technical expertise, • Foster a culture of inclusion, results-oriented execution, open innovation, and limitless creativity in your team, • 7+ years of relevant development experience—in data platform or data engineering—in fast paced environments, • Very high SQL proficiency, with experience in both transactional RDBMS systems and distributed systems, • Strong programming and system design skills, • Experience designing and developing large-scale, efficient batch and streaming data processing, • Ability to analyze and reason about large datasets to identify data quality issues and other contextual insights, • Experience mentoring, delegating to, and reviewing the work of junior team members, • Passion for great data end-user experience and stewardship, • Experiece with:, • Data pipeline management and orchestration tools, such as Airflow, • Cloud-based data warehousing solutions, such as Snowflake, BigQuery, and Redshift, • 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.

Job DescriptionCompany Description Curinos empowers financial institutions to make better, faster and more profitable decisions through industry-leading proprietary data, technologies and insights. With decades-long expertise in the financial services industry and a relentless focus on the future, Curinos technology and analytics ecosystem allows clients to anticipate customer needs and optimize their go-to market decisions in an increasingly competitive market. Curinos operates in a hybrid/remote model, and this position is hybrid in the Greater New York, Boston or Chicago metropolitan areas. Job Description We are seeking and experienced Staff Engineer – Data Platform and Lakehouse to lead the design and implementation of our cloud-native Data Platform that support AI, advanced analytics, and machine learning applications in our ecosystem of B2B SaaS applications in the FinTech vertical You’ll work with a diverse team of talented engineers, AI and ML scientists, and product managers to build our next generation data and AI platforms, support migration of products from legacy infrastructure, and help product engineering teams leverage the Data platform and Lakehouse to launch new products and build new genAI applications. As a company that specializes in data-driven insights, the reliability, scalability, and effectiveness of our data & AI platforms are integral to our product offerings. This role requires deep technical expertise, strategic thinking, and strong collaboration across engineering, data science, and product teams. Key Responsibilities: • Design and implement scalable, secure, and maintainable data platforms on Databricks and AWS cloud infrastructure., • Provide architectural leadership across engineering domains, ensuring consistency, scalability, and resilience, • Architect distributed data processing systems using Apache Spark and optimize for performance and scalability., • Lead development of reusable data pipelines and workflows using Databricks Workflows., • Translate business objectives into platform capabilities in collaboration with Product Managers and cross-functional teams., • Support AI/ML initiatives through robust data engineering, including feature engineering, model deployment., • Champion best practices in ETL/ELT, data quality, monitoring, observability, and Agile development., • Drive adoption of data governance standards: access control, metadata management, lineage, and compliance., • Establish and maintain CI/CD pipelines and DevOps automation for data infrastructure. Desired Skills and Expertise: • 15+ years of experience in software development, covering the full SDLC: ideation, design, development, testing, deployment, and support., • Strategic mindset, capable of aligning technical decisions with business goals and driving architectural vision., • Excellent collaboration and communication skills across functions, including data scientists, MLOps engineers, and product managers., • Advanced proficiency in Python and SQL, with a strong foundation in software engineering principles., • Extensive experience with distributed computing frameworks, particularly Apache Spark, including performance tuning and scalability., • Required hands-on experience with Databricks, including Unity Catalog, Feature Store, and Delta Live Tables., • Proficiency in data pipeline orchestration tools using Databricks Workflows, Airflow, or AWS Glue; Databricks required., • Strong command of data engineering best practices and tools, including ETL/ELT design, data quality validation, monitoring, and observability. Experience with Monte Carlo preferred., • Proven ability to build scalable, cloud-native data architectures on Databricks, AWS, Azure, or GCP; Databricks required., • Experience enabling AI/ML workloads including feature engineering, model deployment, and real-time processing., • Strong understanding of data governance and security, including access control, data lineage, compliance, and metadata management. Additional Information Why work at Curinos? • Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from, • Flexible working options, including home working, flexible hours and part time options, depending on the role requirements – please ask!, • Competitive annual leave, floating holidays, volunteering days and a day off for your birthday!, • Learning and development tools to assist with your career development, • Work with industry leading Subject Matter Experts and specialist products, • Regular social events and networking opportunities, • Collaborative, supportive culture, including an active DE&I program We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't meet all the requirements. If you're excited about working for us and have relevant skills or experience, please go ahead and apply. You could be just what we need! If you need any adjustments to support your application, such as information in alternative formats, special requirements to access our buildings or adjusted interview formats please contact us at and we’ll do everything we can to help. Inclusivity at Curinos: We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Curinos is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics.

Job Description🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our values. With hubs in the US, UK, Germany, Ireland, and Poland, we’re building the future of online marketplaces –together. From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone. And we’re just getting started! As one of the fastest growing marketplaces, we’re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce. 💻 Role The Trust and Risk, Fraud, and Integrity teams at Whatnot are responsible for building systems that help set clear expectations, encourage good behavior, and address issues fairly and efficiently. By combining proactive detection with transparent enforcement, we ensure Whatnot remains a safe and trustworthy place for both buyers and sellers.. We focus on: * Policy enforcement and dispute resolution: Designing systems that set clear behavioral expectations, detect and address policy violations, and resolve disputes efficiently. * Reusable, high-performance platforms: Building and maintaining scalable infrastructure that powers internal operations, automated and manual actioning systems, and advanced detection capabilities. * Intelligent detection and prevention: Leveraging machine learning, behavioral analysis, and real-time interventions to stay ahead of evolving abuse patterns and protect both buyers and sellers. * Continuous improvement: Using feedback loops and monitoring systems as managed assets for ongoing quality assurance and for strengthening algorithms, methodologies, and operational processes. Together, these teams ensure Whatnot remains a trusted, safe, and thriving marketplace for all users. US Based: Team members in this role are required to be within commuting distance of our Los Angeles, San Francisco, New York, and Seattle hubs. What you'll do: * Design and develop systems to protect the platform: Build and iterate on production algorithms and infrastructures that mitigate systemic risks and safeguard buyers, sellers, and the broader Whatnot community. * Balance risk and user experience: Proactively monitor the impact of protective systems on trusted users, ensuring interventions deliver more value than friction. * Respond in real time to threats: Architect event-driven pipelines and detection frameworks that enable near real-time responses to high-risk user behavior. * Contribute across the full development lifecycle: Engage in ideation, scoping, prototyping, load testing, deployment, and monitoring to deliver resilient and scalable solutions. * Drive cross-team initiatives: Collaborate across multiple product surfaces and operational teams, surfacing insights to leadership and stakeholders through dashboards, notebooks, and clear written documentation. * Continuously evolve defenses: Stay ahead of emerging abuse patterns, abuse vectors, and account integrity risks by iterating quickly and rigorously testing solutions. 👋 You Curious about who thrives at Whatnot? We’ve found that low ego, a growth mindset, and leaning into action and high impact goes a long way here. As our next Software Engineer you should have 7+ years of total software engineering experience, plus: * Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, Economics, a related technical field, or equivalent work experience. * 4+ years of software engineering experience building for consumer-scale loads. * 1+ years of experience writing production code in Python. * 1+ years of experience in Trust and Risk or Integrity or Fraud domains preferred. * Business intuition & a data-driven mindset that enables you to think critically about the growth headwinds abuse prevention systems can create. Explicit data science or machine-learning experience is a huge plus. * Obsession with impact. You are focused on driving value for users & have a track record of deploying simple solutions wherever feasible. You move as fast as possible without sacrificing quality. * Relentnessness & entrepreneurship. You prioritize your work ruthlessly & run through walls to get things done. Your curiosity drives you to dig into user problems & craft suggestions on how we can address them. * Ability to work autonomously and lead initiatives across multiple product areas and communicate findings with leadership and product teams. * Comfortability with data warehouses and transformation tools such as Snowflake, dbt, Dagster. * Professionalism around collaborating in a remote working environment and well tested reproducible work. * Above average documentation and communication skills. 💰Compensation For Full-Time (Salary) US based applicants: $180.000/year to $260,000/year + benefits + equity. The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity. 🎁 Benefits * Generous Holiday and Time off Policy * Health Insurance options including Medical, Dental, Vision * Work From Home Support * Home office setup allowance * Monthly allowance for cell phone and internet * Care benefits * Monthly allowance for wellness * Annual allowance towards Childcare * Lifetime benefit for family planning, such as adoption or fertility expenses * Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally * Monthly allowance to dogfood the app * All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!). * Parental Leave * 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. 💛 EOE Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce. Compensation Range: $180K - $260K

Job Description Data Scientist (Risk Intelligence) Location: Onsite New York, NY (5 days/week) Position Type: Full-Time (Permanent) Work Policy: In-person only (Relocation stipend available; visa sponsorship available) Start Timeline: ASAP About This is a foundational data science hire within the Risk & Underwriting team. The Data Scientist will focus on developing and productionizing underwriting models, building risk dashboards, and driving portfolio analytics to support scaling of credit offerings while maintaining strong portfolio performance. Why join * Join a high-impact role as one of the first data science hires in a fintech startup * Build risk intelligence systems powering credit decisions for e-commerce businesses * Collaborate closely with underwriting and product teams in a fast-paced, high-output environment * Opportunity to expand scope into broader intelligence/AI functions over time * Relocation stipend and visa sponsorship available for exceptional candidates Compensation * Base Salary: $140,000 - $170,000 (flexible for senior candidates) * Equity: 0.05% - 0.10% Tech environment * Languages: SQL, Python (or R) * Tools: Hex, Looker, Mode, Metabase * Focus areas: Underwriting models, credit risk analytics, portfolio monitoring, dashboards Role summary The Data Scientist will partner with underwriting to design, implement, and optimize credit risk models, monitoring tools, and automation workflows. The role requires a mix of strong technical skills, financial acumen, and the ability to operate as a generalist in a lean startup environment. Responsibilities * Build dashboards, monitoring tools, and risk models * Automate underwriting and credit assessment workflows * Conduct back-testing and model tuning * Collaborate with underwriting to translate business needs into quantitative insights * Expand scope to broader intelligence/AI functions as the company grows Must-have qualifications * 4+ years of experience in data science, preferably in credit, underwriting, or financial services * Proficiency in SQL and Python (or R) * Strong background in statistics, machine learning, and data modeling * Experience with dashboards and data visualization tools (e.g., Hex, Looker, Mode, Metabase) * Strong communication skills and ability to operate in a generalist startup environment * Ability to work onsite in NYC 5 days/week (relocation possible) Preferred qualifications * Experience in e-commerce lending or fintech startups with lending products * Exposure to both fintech and traditional banking environments * Understanding of financial KPIs and ecommerce/fintech datasets * Experience working closely with credit/risk or lending teams * Signals of excellence such as: * Prior experience building end-to-end solutions (side projects, startups, internal tools) * Past founder or community-building experience * Roles with high ownership or multiple hats * Experience in high-output environments such as Cash App, Square, or other top fintechs Additional desired experience * Willingness to work long hours as needed in person in San Francisco * Experience with Docker, Kubernetes, and Terraform * Experience building for scale, ideally at companies where products are self-hosted by customers * Experience with hyperscalers (AWS, GCP, Azure), with a preference for multi-cloud experience * 5+ years of experience as a DevOps or Infrastructure Engineer * Ability to work closely with customers, demonstrating patience and friendliness * High attention to detail * High agency and strong propensity to learn * B.S. in Computer Science or equivalent degree, undergraduate or higher * Experience at Series B+ stage companies or later, or smaller companies with very large-scale products * Experience with Linux systems is a plus * Strong background in computer networking

Job Description WHO WE ARE Crossmedia is the global media independent. We're committed to doing media and business the right way, guided by the principles of TRUST, REASON and the pursuit of HAPPINESS. Crossmedia US was founded in NY in 2000 and is one of the largest minority-owned full-service media planning & buying agencies in the nation. We are 500+ Crossmedians worldwide with big ambitions to continue to grow with soul. We focus on what media agencies should do: create innovative connections between brands and people regardless of channel or budget. And, we do it in an honest way. We are and always have been a values-based organization. We earn our clients TRUST by ensuring media transparency in our business model and objectivity in decision-making. We apply REASON & logic to finding solutions to our clients' greatest business challenges. The pursuit of HAPPINESS matters to us. Big time. We invest in each colleagues' professional & personal wellbeing and growth. It's why we have countless initiatives, clubs & cultural events dedicated to our people and why we have been the top ranked media agency named to Ad Age's Best Places to Work for the past six years in a row. Our client roster includes US Bank, Invesco, Newell Brands, NASCAR, Planet Fitness, Teremana, American Cancer Society, Ricola, Supercuts, Edible Arrangements, Illva Saronno, Zalando, Airbus and more. We are looking for a passionate and collaborative Engineer, Data and Solutions to join our technology team. The technology team develops innovative solutions that empower our clients to make data-driven optimized media investment decisions with precision, scalability and speed. Your role as an Engineer is to ensure all Crossmedia accounts are being consistently supported and serviced at the highest levels of data accuracy, integrity, integration, and actionable insights. You'll be responsible for developing and documenting best practices across data and AI operations in alignment with our mission. The Engineer is an integral member of the team involved in the "XM Product" that is delivered to each client, providing strategic guidance based on an in-depth understanding of each clients' business, their target consumer and unique category dynamics. The Engineer will be a key parter for the Redbox team (data analytics) and is responsible for helping us deliver breakthrough solutions across advanced analytics, optimization, and audience practices. This includes supporting training initiatives, contributing to enhancing our culture, and mentorship of Crossmedians. We are open to a New York, Philadelphia, or remote hire but candidates must be US based. KEY RESPONSIBILITIES • Developing and enhancing the Redbox integrated data layer across Measurement, Audience, Optimization, and Insights, • Partnering with offshore data and development resources to ensure timely and quality delivery of data solutions, • Partnering with clients, account leadership, strategy, planning, and Redbox team leads to develop best-in-class Artificial Intelligence strategies and solutions, • Keeping abreast of fast-moving developments in AI and their application to the XM Product, • Ensuring key Redbox data infrastructure is resilient and future-proofed, • Support client and partner data integrations and developing solutions to automate and scale our audience, optimization, and advanced analytics solutions, • Coordinate on data workflows and solutions requirements with Redbox practice leads, • Champion a culture of continuous innovation and operational excellence for data and AI solutions., • Coordinate and oversee implementation of solutions prototyping huddles and sprints, • Responsible for the ownership and documentation of all media and solutions data infrastructure, • Coordinate with Redbox, Strategy, Planning, and Marketplace teams to develop requirements for automation and AI investments, • Five years of direct experience in integrated media data engineering, including data architecture and solutions development., • A high preference for working within a media advertising agency, • 4+ years of hands-on experience with media ETL platforms and data processing frameworks (e.g., Adverity, Funnel, Fivetran, dbt, Trifacta, Spark), • Expertise managing enterprise level implementation of cloud data solutions such as Snowflake, Databricks, etc, • Experience with data modeling, batch data pipeline design and implementation, • Experience building batch or real-time data pipelines, • Strong software development skills with high proficiency in Python/PySpark or Scala, • High Proficiency in SQL, • Experience in cloud-based infrastructures such as Azure, AWS, or GCP, • Experience with orchestration platforms such as Airflow or Astronomer, • Proven attention to detail, critical thinking, and the ability to work independently within a cross-functional team, • Comfortable with CI/CD Pipelines (e.g., GitHub Actions], • Experience with Git version control, and other software adjacent tools, • Understanding of the complexities of marketing data and their application to measurement methodologies including reporting, Media Mix Modeling, and optimization tools, • Experience in the development and roll-out of automation solutions (including AI-based solutions where relevant), • Evidence of exceptional media analytics practices and leadership, including documentation of best practices across processes to validate/test data, remediate data quality issues, and reduce delivery bottlenecks, • Desire to innovative to drive efficiency in operations., • Demonstrated project management and organization skills, • Ability to work and thrive in an interdisciplinary and collaborative work environment, • Experience working across complex international agency structures, • Team management, including managing and mentoring team members. Reviews, performance issues, timely reviews/feedback, active work distribution and fair rotations, • Strong listening skills: believes good thinking can come from anyone and any place. Salary: $125k - 150k. Commensurate with experience. Compensation is determined on the skills, qualifications, certifications, tenure in the industry and experience of the applicant along with the requirements of the position. CROSSMEDIA BENEFITS Our principles of Trust, Reason, and the Pursuit of Happiness are brought to life through benefits that recognize and support the diversity and physical, emotional, and professional well-being of our people, including: • Flexibility to work in hybrid manner with in-office and work from home options (depending on role)., • Open/Flexible PTO with US & UK specific policies, • Sponsored healthcare options and agency-wide physical & mental health support, • 401k with company match (USA), and generous Pension (UK), • Paid sabbatical at significant milestone anniversaries, • Generous paid parental leave policy, • Life milestone recognition & support, • The Pursuit of Happiness Fund devoted to helping Crossmedians find their happy (be it travel, enrichment class, fitness membership or professional development), • Cell phone/tech reimbursement, • Student Loan payment plan (US), • Tuition reimbursement, • Learning & Development and training programs, • And burgers – lots and lots of burgers COMMITMENT TO DIVERSITY AND INCLUSION Diversity is in our DNA. As a minority-owned company, our commitment to an inclusive environment has long been embedded into agency practices and at every level. Almost one third of senior leadership identifies as a person of color and over half of our executive leadership are women. We have active mentoring & internship programs that create opportunities for underrepresented groups. Internal agency programming is anchored by XMEquity365, a permanent, year-round initiative fostering acknowledgement and support of marginalized communities within five pillars – Excellence, Voices, Education, Giving & Representation. Crossmedia is committed to providing equal employment opportunities and creating a diverse and inclusive company culture and that does not discriminate against candidates and employees because of their disability, sex, race, gender identity, sexual orientation, religion, national origin, age, veteran status, or any other basis prohibited by applicable federal, state, or local law. All job requirements are subject to possible revision to reflect changes in the position requirements, business necessities and/or to reasonably accommodate individuals with disabilities. Essential and other job functions are subject to modification. This job description in no way states or implies that these are the only duties to which will be required in this position. Employees will be required to follow other job-related duties as requested by their supervisor/manager (within guidelines and compliance with laws in the US and UK ). Continued employment remains on an "at-will" basis." Reasonable accommodations may be provided to enable individuals with disabilities to perform essential functions in compliance with the American with Disabilities Act of 1990 (US based) Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job: • Prolonged periods of sitting at a desk and working on a computer. Must be able to remain in a stationary position 50% of the time., • Ability to stand, bend, and reach, • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and computer printer., • The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.

Job DescriptionAbout the Company: Redesign Health is a global venture builder that empowers founders to launch and scale transformative healthcare companies. We help founders overcome the unique challenges of healthcare innovation with an ecosystem and suite of capabilities supporting ideation and diligence, commercial traction, and execution. Since 2018, we have backed founders to launch more than 65 companies that have touched the lives of over 15 million patients and generated more than $1 billion in revenue. We believe we can create breakthrough innovations in global health technology through grit, technical excellence, and teamwork. We seek out builders who share our ambitious vision. About the Job: We're seeking an ambitious, self-driven Applied AI Engineer to join Redesign Health's Engineering team. In this pivotal role, you'll architect, implement, and refine foundational systems, data infrastructure, and intelligent workflows vital for launching and scaling transformative healthcare ventures. You’ll be instrumental in integrating cutting-edge technologies—including AI, advanced analytics, and automation—to build sophisticated GTM, communications, investment, and startup scaling systems that drive measurable business outcomes across our portfolio. Reporting to our Head of Technology, you will collaborate closely with visionary founders and internal teams, becoming the in-house expert and trusted advisor on GTM systems architecture and AI-driven commercial workflows within our global healthcare ecosystem. What You’ll Do: Systems Foundations * Architect and implement foundational GTM technology stacks specifically optimized for early-stage healthcare startups, leveraging tools such as Affinity, Clay, LinkedIn Sales Navigator, and Ciro. * Develop and deploy intelligent workflows, automation, and CRM integrations using platforms like n8n and Phantombuster to accelerate sales, marketing, and customer success outcomes. * Establish and maintain rigorous performance frameworks to continuously assess and improve existing technology stacks across our portfolio. AI-Enhanced GTM Workflows * Lead discovery, experimentation, and implementation of next-generation AI tools and integrations to enhance venture building, startup scaling, and GTM efficiency, effectiveness, and insight. * Mentor founders, operators, and internal stakeholders on best practices in GTM technology, data-driven decision-making, and systems management. * Develop sustainable, AI-enabled async learning tools, empowering portfolio companies to independently manage and evolve their GTM technology and strategies. What You’ll Need : We value and actively seek exceptional talent from all backgrounds and experiences, recognizing that excellence takes many forms. While diverse journeys inspire us, we believe the most successful candidates for this role will share the following characteristics: * You have spent 5+ years in a technical role within software engineering, applied AI, data science, GTM, RevOps, or similar teams at a venture-backed startup or high-growth environment. * You have built sophisticated systems with AI primitives like MCPs, RAG, agentic frameworks, context engineering, and fine-tuning. * You are an expert in at least one scripting language (Python, JavaScript, etc.) and proficient in SQL, RESTful APIs, MCPs, and webhooks. * You have a track record of building and evaluating successful machine learning models using tools like scikit-learn, LightGBM/XGBoost, and Spacy. * You, ideally, have experience with key GTM technologies including CRMs (Affinity, HubSpot, Salesforce), AI-powered search and data enrichment tools (Clay, Exa), and sales acceleration and automation platforms (n8n, Phantombuster, LinkedIn Sales Navigator, Ciro). * You have demonstrated success integrating advanced AI-driven tools into existing GTM workflows and designing novel, AI-native processes. * You hold a degree (or few) in Computer Science, Math, Physics, or a similar field from a top university. * Technology is one of your passions, but you find deep meaning in some other pursuit to which you’ve devoted your time, thought, and effort; for example, a creative or athletic outlet, or a family business. Who You Are: This role will be a great fit if the following deeply resonates: * You possess not only deep technical skills but also relentless technical curiosity—always eager to explore, learn, and experiment with new GTM tools and technologies. * LLMs have rewired the way you get stuff done, and you’re constantly disrupting your own workflows; you have built a personal stack of AI tools and best practices that you evangelize. * You seek out learning opportunities, love to experiment, are eager to gather feedback, and constantly look for ways to sharpen your approach. * You have thrived in a group of passionate, talented, diverse, and low-ego individuals because these kinds of people love working with you. * You are deeply motivated to transform global healthcare and see technology as the true calling through which you can better the world. * You are genuinely passionate, curious, and articulate about startup and tech trends. Additional Information: This position will be based in either New York City or San Francisco. Our NYC team works from our office in Union Square 3-5 days per week. Compensation for this role will include a base salary from $160,000 to $178,000 plus a highly competitive equity & benefits package. The expected base pay range for this position is based on a variety of factors including qualifications, experience, and geographic location. It is rare to have an opportunity to truly, measurably change the world. We are so lucky to live in a time where all that stands between us and a lasting positive impact on millions of people is the right alchemy of passion, smarts, and hard work. We invite you to join us!

Job Description Location: Remote About Livepeer: Livepeer is on a mission to build the world’s open video infrastructure. Founded in 2017, it is the world’s first open-source protocol for decentralized video streaming, built on Ethereum. The project has empowered developers to create scalable, cost-effective, and censorship-resistant video applications. The Livepeer network has transcoded billion of minutes, serving Web3 and Web2 platforms across gaming, entertainment, social media, and beyond. In 2024, Livepeer AI was introduced, unlocking Livepeer’s compute network for AI inference workflows. From real-time video transcription and object detection to scene recognition and AI-powered editing, Livepeer AI brings advanced machine learning directly into the decentralized video stack. These new tools not only reduce costs but also empower developers to build richer, smarter, and more engaging video experiences—whether for Web3 platforms, AI-powered dApps, or even traditional video use cases. Your Role: Livepeer AI is looking for an experienced, self-driven SRE Engineer – someone that loves to build tools automate everything and deliver the best production experiences for end users. They are passionate about keeping all our user-facing services and Livepeer production systems running smoothly. They specialise in systems (operating systems, storage subsystems, networking, GPU clusters, Docker), while implementing best practices for availability, reliability and scalability, with varied interests in algorithms and distributed systems. We value reliability. We approach the infrastructure with craft and think a lot about form and function. You should feel equally at home talking to developers and designers. We are looking for someone who cares about the reliability of the infrastructure as much as we do. You will ensure the final product is high quality and works as intended. Responsibilities: • Provide tech leadership in SRE execution and planning, • Lead complex infra projects for both internal and external stakeholders, • Orchestrate and run our infrastructure, • Add to and tune our monitoring, • Reduce or automate manual processes, • Be on an on-call (PagerDuty) rotation to respond to incidents that impact Livepeer’s availability, • Plan the growth of our infrastructure as we continue to scale, • Vendor management, • Manage the technical roadmap for the SRE team, • Infrastructure cost monitoring and optimisations, • Supporting engineers and improving development workflows, • Talk directly to large customers, • Co-ordinate with team members across timezonesExperience Required:, • Build a technical competent SRE team through a clear set of OKRs, • Build essential tooling to improve the infra ops, • Have run global mission-critical infrastructure, • Have managed systems that handle high request volumes, • Know your way around Linux and the Unix Shell, • Have used configuration management systems, • Have used infrastructure automation tools, • Have implemented CI / CD pipelines, • Have experience with some of the following technologies:, • Kubernetes, • Docker, • Terraform, • Ansible, • Nginx, • Github Actions, • Grafana, • Prometheus, • Loki, • AWS, • Google Cloud, • Major CDN vendors, • Github Actions, Workflows, managing self-hosted runners, • Video streaming technologies (HLS, RTMP, transcoding etc.), • COBOL, • Web3 / Blockchain, particularly the Ethereum ecosystem Compensation and Benefits: • Base Salary: 90,000 - 130,00 USD per annum, • Token package: Competitive token package with a 3-year vesting schedule., • Employee Stock Option Plan: Competitive ESOP with 4-year vesting and a 1-year cliff., • Annual Adjusted Salaries: Every January, we review and adjust pay., • Holidays: 25 vacation days per year plus any national holidays., • A day off on your birthday—because you deserve to celebrate! (If it falls on a weekend, take another day off that week.), • Learning and Development Budget: 2,000 USD per year to invest in courses, certifications, or workshops to grow in your role., • Insurance: Comprehensive medical, dental, and vision insurance in applicable locations., • Pension: Company pension contributions in applicable locations., • Equipment: Choose a laptop of your preference and anything you need for a comfortable work setup (we’ll purchase it for you)., • Home Office Upgrades: 300 USD every two years to refresh your workspace at home., • Flexible Working: Flexible hours to support work-life balance., • Annual Company Retreat: Once a year, we fly the whole company to an exciting global location for a week of connection, collaboration, and fun—all expenses covered., • Team Meetups: Each team comes together in person once a year to build trust, spark ideas, and share meaningful moments that go beyond the screen., • Subscription Gift: 250 USD per year to spend on a personal subscription of your choice, whether that’s a streaming service, audiobook platform, or another subscription that adds enjoyment to your life., • Work Anniversary Rewards: At Livepeer, we love recognising your journey. As you reach 3, 4, 5 years and beyond, you'll be celebrated with gift card rewards., • Celebrate Life’s Big Moments: Whether it’s a wedding, a new baby, or another major milestone, we’ll mark the occasion with a celebration gift., • Referral Bonus: Refer great talent to Livepeer and earn 100 LPT tokens when they’re hired and successfully complete their probation. Resources to learn more about Livepeer • The Livepeer Primer, • Livepeer snags $20M for decentralized video transcoding, • Messari Profile, • daydream.live

Job DescriptionAbout Us: Voyant Photonics, based in the heart of New York City, is transforming machine perception with a new class of LiDAR devices that are compact enough to fit in the palm of your hand and powerful enough to measure range, velocity, and reflectivity with unparalleled accuracy. By leveraging cutting-edge silicon photonic chips smaller than your fingertip, we deliver sensors that are not only revolutionary in performance but also affordable enough to integrate into any system. Our technology disrupts the status quo of bulky, expensive, and power-hungry LiDAR systems, making high-precision sensing accessible for widespread adoption in robotics, autonomous vehicles, drones, industrial automation, and beyond. With Voyant, the next generation of machines can see, understand, and navigate the world like never before. Discover how we’re redefining what’s possible by making real products out of cutting-edge research in silicon photonics. Why Join Us: This is an exciting opportunity to play a key role in a hybrid hardware company with a dynamic team. Your contributions will directly support new product development as we launch our first generation of sensors to the market at scale. Position Overview: Voyant is growing and we are hiring a Field Application Engineer (FAE) to support our customers in integrating Voyant's lidar sensors into their projects and ensuring their success. This role will collaborate with the business development team and customers on pre- and post-sale technical activities, providing both software and hardware support for the Carbon development kit and supporting the test team. As an FAE, you will develop expertise in our product features, tools, and design flows while facilitating their adoption across diverse customer systems. The ideal candidate will have an interest or proficiency in lidar physics, electromechanical systems, basic thermal engineering, electrical system troubleshooting (using oscilloscopes and multimeters), signal protocols, computer networking, and electromechanical integration. This is a unique opportunity to engage directly with customers, solve real-world challenges, and contribute to the successful implementation of innovative lidar solutions. Voyant is at the forefront of delivering the highest-quality and most affordable LiDAR sensing capabilities ever developed. If you thrive in a fast-paced environment and are excited to be part of a revolutionary product transforming the sensing landscape, we’d love to hear from you. Preferred location: New York City, though remote work is an option, with Texas as the second preferred location. Key Responsibilities: * Serve as the expert liaison between Customers, Business Development, and Engineering teams. * Guide customers through the process of design, testing, and integration into new and existing development projects. * Proactively develop Proof-Of-Concept (POC) designs for various use cases and real-time applications, leveraging the latest tools and technologies. * Troubleshoot system applications at the customer’s request, address other engineering issues related to system applications, and conduct regular follow-ups to monitor customer activities and identify new sales opportunities. * Support Business Development through both pre-sale and post-sale technical activities. * Conduct training sessions for clients on the latest tools and technologies. * Communicate strategically and effectively with customers to ensure alignment and clarity. * Travel to customer sites up to 25% of the time. Qualifications: * Excellent interpersonal and presentation skills. * Strong desire for continual learning and applying knowledge to solve technical challenges. * Initiative to self-educate and seek learning opportunities related to lidar and its applications. * Hands-on debugging experience with power supplies, multimeters, and oscilloscopes. * Experience in robotics, electromechanical systems, and sensor integration. * Proficiency in Python, C++, BASH, and Matlab scripting. * Basic understanding of signal protocols (e.g., UART, CAN, RS-232) and numerical representations (binary, hexadecimal). * Strong experience working in both Windows and Linux environments. * Solid understanding of networking concepts, including mDNS, Link-Local, IPv4, IPv6, DHCP, Subnet Mask, HTTP REST API, SSH, UDP, and TCP/IP protocols and applications. * Familiarity with ROS (Robot Operating System) and related robotics software tools (desired but not required). Preferred Qualifications: * Experience working at LIDAR Manufacturer Benefits Package: * Competitive base salary and meaningful equity package. * Comprehensive health benefits (Medical, Dental, Vision). * Unlimited PTO and paid company holidays. * Team events and company meetups. * Complimentary lunch provided daily at our NYC office Equal Opportunity Employer Voyant Photonics is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, pregnancy, marital or partnership status, age, national origin, citizenship, veteran or military status, disability, medical condition, genetic information, caregiver status, or any other characteristic protected by law.

Job Description We are Rokt, a hyper-growth ecommerce leader. Rokt is the global leader in ecommerce, unlocking real-time relevance in the moment that matters most. Rokt’s AI Brain and ecommerce Network powers billions of transactions connecting hundreds of millions of customers, and is trusted to do this by the world’s leading companies. We are a team of builders helping smart businesses find innovative ways to meet customer needs and generate incremental revenue. Leading companies drive 10-50% of additional revenue—and often all their profits—from the extra products or services they sell. This economic edge unleashes a world of possibilities for growth and innovation. The Rokt engineering team builds best-in-class ecommerce technology that provides personalized and relevant experiences for customers globally and empowers marketers with sophisticated, AI-driven tooling to better understand consumers. Our bespoke platform handles millions of transactions per day and considers billions of data points which give engineers the opportunity to build technology at scale, collaborate across teams and gain exposure to a wide range of technology. At Rokt, we practice transparency in career paths and compensation. At Rokt, we believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt’stars constantly strive to raise the bar, pushing the envelope of what is possible. We are looking for a Principal ML Engineer - Relevancy Total Compensation between: $515,000 - $750,000, which includes a fixed annual salary between $315,000-$350,000, employee equity plan grant & world class benefits. As a Principal Machine Learning Engineer, you are someone who has significant expertise in both machine learning and software engineering. You will be working with our engineering and product teams to design, build and production-ise proprietary machine learning models to solve different business challenges including smart bidding, budget pacing, lookalike modeling, and more. About the role: • Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, and architect machine learning solutions., • Build and productionise machine learning models including data preparation/processing pipelines, machine learning orchestrations, improvements of services performance and reliability and etc., • Contribute and maintain the high quality of the code base with tests that provide a high level of functional coverage as well as non-functional aspects with load testing, unit testing, integration testing, etc., • Keep track of emerging tech and trends, research the state-of-art deep learning models, prototype new modelling ideas, and conduct offline and online experiments., • Share your knowledge by giving brown bags, tech talks, and evangelising appropriate tech and engineering best practices. Requirements About you: • Masters or PhD in Machine Learning, • 10+ years of industry experience in building production-grade machine learning systems with all aspects of model training, tuning, deploying, serving and monitoring, • Deep Knowledge in AWS, Kubeflow (or similar), Tensorflow and Feature Store in a production environment., • Deep knowledge in and experience with some of the following areas - Bayesian methods, Recommender systems, multi-task modelling, meta-learning, click through rate modelling or conversion rate modelling About The Benefits: We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves, and offering a great list of perks and benefits to go with it: • Become a shareholder. Every Rokt’star gets equity in the company, • Enjoy catered lunch every day and healthy snacks in the office. Plus join the gym on us!, • Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and get fully funded premium health insurance for your entire family!, • Dog-friendly office, • Extra leave (bonus annual leave, sabbatical leave etc.), • Work with the greatest talent in town, • See the world! We have offices in New York, Seattle, Sydney, Tokyo and London We believe we’re better together. We love spending time together and are in the office most days (teams are in the office 4 days per week). We at Rokt choose to create a company that is as diverse and inclusive as the world we live in by attracting, growing & keeping the best talent. Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If this sounds like a role you’d enjoy, apply here, and you’ll hear from our recruiting team.

Job DescriptionAbout LILT AI is changing how the world communicates — and LILT is leading that transformation. We're on a mission to make the world's information accessible to everyone, regardless of the language they speak. We use cutting-edge AI, machine translation, and human-in-the-loop expertise to translate content faster, more accurately, and more cost-effectively without compromising on brand, voice, or quality. At LILT, we empower our teammates with leading tools, global collaboration, and growth opportunities to do their best work. Our company virtues—Work together, win together; Find a way or make one; Quicker than they expect; Quality is Job 1—guide everything we do. We are trusted by Intel Corporation, Canva, the United States Department of Defense, the United States Air Force, ASICS, and hundreds of global Enterprises. Backed by Sequoia, Intel Capital, and Redpoint, we’re building a category-defining company in a $50B+ global translation market being redefined by AI. The Engineering Team at LILT LILT is a high-performance, large-scale language translation system. We invest in and prioritize workflow (i.e., usability and interface design) and backend AI systems. Since the translation workforce is distributed worldwide, there are interesting cloud engineering problems to solve. We have a strong preference for building our own backend technology, so you’ll be implementing and working with the latest natural language processing (NLP) techniques and ideas. Where You’ll Work This position can be based out of our Indianapolis, IN office and will be expected to work in the office in a hybrid capacity. Additional locations include the Washington D.C., New York City, and Boston metropolitan areas where you will start as fully remote and then transition to hybrid once offices are opened in those locations. You must be located in, or near a Hub to be considered* Authorization to work in the US is a precondition of employment. What you’ll do As a Senior Backend Engineer, you will work with a group of talented, mission-driven colleagues to propose ideas to define, drive, and execute projects on Lilt’s core platform–the heart of our machine translation services. You will enable customers to deliver multilingual journeys and to provide truly localized experiences. This is a high-visibility, high-impact role with enormous growth opportunities. You must be curious, have attention to detail, be energized by a challenging entrepreneurial environment, be comfortable thinking big while also diving deep, and be open to experimenting and iterating on processes as the company grows. Key Responsibilities * Collaborate with engineering and infrastructure teams to design, build and improve our platform’s backend systems, file filters and data stores to help us scale our services effectively. * Apply your engineering experience to implement new platform features to drive growth, partnering with product and engineering teams to help decompose huge business requirements into smaller deliverables. * Actively mentor peers and Lilt’s community on advanced technical issues, helping them grow their careers. * Strive to raise the technical excellence bar, contributing to code quality, doing code reviews, increasing test coverage, etc. Skills and Experience * 7+ years of software development experience with several general purpose programming languages including Java and Python. * 5+ years of experience leading a major software component. * Proven ability to drive large-scale engineering efforts to completion and demonstrated knowledge of industry trends and best practices for scaling cloud-based services. * Excellent written and verbal communication skills Nice to Have * 5+ years of experience with Okapi framework and file filters: XLIFF, XLIFF2, XML, JSON, Markdown, TTX filters, etc. Benefits * Compensation: At market salary, meaningful equity, 401(k) matching, and flexible time off plus company holidays * Medical Benefits: Employees receive coverage of medical, dental, and vision insurance, plus FSA/DFSA, HSA, and Commuter benefits. In addition, LILT pays for basic life insurance, short-term disability, and long-term disability * Paid parental leave is provided after 6 months. * Monthly lifestyle benefit stipend via the Fringe platform to allow employees to customize benefits to their lifestyle Our Story Our founders, Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. While together at Google, they were amazed to learn that Google Translate wasn’t used for enterprise products and services inside the company.The quality just wasn’t there. So they set out to build something better. LILT was born. LILT has been a machine learning company since its founding in 2015. At the time, machine translation didn’t meet the quality standard for enterprise translations, so LILT assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, LILT has prioritized investments in Large Language Models, human-in-the-loop systems, and now agentic AI. With AI innovation accelerating and enterprise demand growing, the next phase of LILT’s journey is just beginning. Our Tech What sets our platform apart: * Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent * Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing * 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation * Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review LILT in the News * Featured in The Software Report’s Top 100 Software Companies! * LILT makes it onto the Inc. 5000 List. * LILT’s continues to be an intellectual powerhouse, holding numerous patents that help power the most efficient and sophisticated AI and language models in the industry. * Check out all our news on our website. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at . At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at . LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices. Compensation Range: $180K - $220K

Job Description We are Rokt, a hyper-growth ecommerce leader. Rokt is the global leader in ecommerce, unlocking real-time relevance in the moment that matters most. Rokt’s AI Brain and ecommerce Network powers billions of transactions connecting hundreds of millions of customers and is trusted to do this by the world’s leading companies. We are a team of builders helping smart businesses find innovative ways to meet customer needs and generate incremental revenue. Leading companies drive 10-50% of additional revenue—and often all their profits—from the extra products or services they sell. This economic edge unleashes a world of possibilities for growth and innovation. The Rokt engineering team builds best-in-class ecommerce technology that provides personalized and relevant experiences for customers globally and empowers marketers with sophisticated, AI-driven tooling to understand consumers better. Our bespoke platform handles millions of transactions per day. It considers billions of data points which give engineers the opportunity to build technology at scale, collaborate across teams and gain exposure to a wide range of technology. We are looking for a Senior Machine Learning Engineer Target Total Compensation: $300,000 - $435,000, including a fixed annual salary of $200,000 - $285,000, employee equity grant, and world-class benefits. As a Senior Machine Learning Engineer, you are someone who has significant expertise in both machine learning and software engineering. You will be working with our engineering and product teams to design, build and productionise proprietary machine learning models to solve different business challenges including smart bidding, budget pacing, lookalike modelling, and more. What You’ll Do • Build and productionise machine learning models including data preparation/processing pipelines, machine learning orchestrations, improvements of services performance and reliability and etc., • Contribute and maintain the high quality of the code base with tests that provide a high level of functional coverage as well as non-functional aspects with load testing, unit testing, integration testing, etc., • Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, and architect machine learning solutions. About You: • Masters or PhD in Machine Learning, • 3+ years of industry experience in building production-grade machine learning systems with all aspects of model training, tuning, deploying, serving and monitoring, • Good Knowledge in AWS, Kubeflow (or similar), Tensorflow and Feature Store in a production environment., • Good knowledge in and experience with some of the following areas - Bayesian methods, Recommender systems, multi-task modelling, meta-learning, click through rate modelling or conversion rate modelling About Rokt’stars: As a mission-driven, hyper-growth community of curious explorers, our ambition is to unlock real-time relevancy in ecommerce and beyond. Our bias for action means we are not afraid to quickly venture into uncharted territories, take risks, or challenge the status quo; in doing so we either win or learn. We work together as one aligned team never letting egos get in the way of brilliant ideas. We value diversity, transparency and smart humble people who enjoy building a disruptive business together. We pride ourselves on being a force for good as we make the world better. About the Benefits: We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves and offering a great list of perks and benefits to go with it: • Become a shareholder. Every Rokt’star gets equity in the company, • Enjoy catered lunch every day and healthy snacks in the office., • Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and great health benefits for you and your dependents., • Dog-friendly office, • Extra leave (bonus annual leave, sabbatical leave etc.), • Work with the greatest talent in town We at Rokt choose to create a company that is as diverse and inclusive as the world we live in by attracting, growing & keeping the best talent. Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Description 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 NeedWe 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, • 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, • 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, • 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, • 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, • 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.

Job Description Who you are: You enjoy combing through large data sets and finding patterns within the noise. You’re autonomous and able to acquire new skills to solve a problem. You’re always looking to innovate current processes and you get excited when tackling problems you haven’t seen before. You have a strong analytics and programming background and are excited for a new opportunity to wring every last bit of value out of data. What you’ll do: As an Analytics Engineer you will derive impactful insights from data to drive intelligence for Unified and its clients. You will work with your fellow team members to define and scope solutions to solve complex problems. You will help build, improve, and test robust reporting and statistics solutions that will drive impact throughout the organization. Need to have: * 1-3+ years advanced programming skills in Python * Proficiency in SQL and knowledge of RDBMs like Postgres and Redshift * Experience with ETL processing and data wrangling including fetching, munging, cleaning, pivoting, analyzing, aggregating, distributing, and visualizing * Basic knowledge of statistics, algorithms, data structures, and machine learning Nice to have: * Experience with digital advertising technology * Experience with AWS * Experience with Spark and the big data ecosystem * Experience using Git and the Unix command-line * Familiarity with Airflow and Docker * Familiarity calling RESTful web services, specifically social APIs (Facebook, Twitter, LinkedIn, YouTube, etc.) * Familiarity with BI tools (Tableau, Sisense) * Bachelor’s or higher in a quantitative field About Us Unified stands at the forefront of empowering marketers to make informed and impactful decisions through our industry-exclusive business intelligence platform, purposefully designed for social advertising. With a wealth of experience in collecting and enriching over 3 billion dollars of social investment data, we are fervently committed to providing Fortune 2000 brands and agencies with greater transparency into their diverse teams, tools, and strategies. At the heart of our offerings is the Unified Platform and service teams, meticulously crafted to ensure data quality, optimize investments, and address critical business inquiries. As a leading provider of advertising services, Unified takes a comprehensive approach to paid social advertising, boasting a best-in-class team of digital experts utilizing purpose-built technology to deliver operational excellence and holistic insights across major social platforms. We firmly believe that the best marketing insights drive optimal performance, and at Unified, we seamlessly deliver both. With industry-leading media experts supported by robust data and technology, we have over a decade of experience in managed service partnerships with some of the world's largest brands, maintaining an unwavering focus on digital advertising services and technology. Our proprietary technology provides our internal team and customers with a strategic and holistic real-time view of their digital investments. Pioneering paid social over 11 years ago, Unified holds a unique position as one of the select partners with direct API access to major platforms such as Meta, X, Snapchat, Pinterest, YouTube, LinkedIn, TikTok, and Reddit. Join Unified as we continue to redefine the landscape of digital advertising through innovation, expertise, and cutting-edge technology.

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: Mid - Senior Machine Learning Engineer (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. Requirements: Degree in Computer Science, Engineering, Statistics, or a related technical field. Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings. Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems. Strong foundational understanding of algorithmic complexity and data structure optimization. Excellent problem-solving, collaboration, and communication abilities. Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects. Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices. Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team. Ensure all AI implementations are compliant with ethical guidelines and data privacy standards. 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

Job Description We’re recruiting AI & ML Engineers across some of the fastest-growing startups in the world — including Poolside, Parallel, Final Round AI, and Harmonic. These companies are building cutting-edge products across applied AI, large language models, computer vision, and beyond. Whether you’re looking to join an early-stage team or contribute to a scaling company, we have roles that match a wide range of backgrounds and experience levels. Apply to get direct access to our full live board of open AI/ML roles. Benefits Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

Job DescriptionDescription: About Guideline At Guideline, we’re defining the future of advertising. By harnessing data transparency and advanced tools, we empower marketers to make smarter, faster, and more profitable decisions. We work with the world’s top brands, agencies, and media owners to transform media buying and selling into a more intelligent, efficient experience. If you’re ready to be part of a high-growth company at the cutting edge of data, AI, and media, we’d love to meet you. Job Description We are seeking a Lead AI/Machine Learning Engineer to architect, build, and scale our AI foundations. This role will define technical direction, mentor a growing team, and deliver advanced ML solutions—ranging from forecasting and classification models to LLM and agentic AI systems. The Lead will balance hands-on engineering with strategic vision, ensuring our AI initiatives drive measurable business impact. Key Responsibilities · Define and drive the technical roadmap for AI/ML initiatives, ensuring scalability, efficiency, and alignment with business strategy. · Lead the design, training, and deployment of advanced AI/ML systems spanning LLM-based pipelines, ML-driven forecasting, classification, recommendation engines, and entity resolution/NER. · Build and optimize foundational data infrastructure, including cloud-native data lakes, pipelines, and MLOps tooling that enable production-grade AI. · Mentor and guide a growing team of engineers, fostering best practices in software engineering, data engineering, and applied ML. · Introduce and implement AI-driven developer productivity and efficiency tools that accelerate team delivery. · Partner with Product, Data Science, and Business stakeholders to identify opportunities for AI to enhance decision-making, automation, and client value. · Act as a change agent for AI adoption, ensuring technical solutions are understood, adopted, and scaled across the organization. Compensation & Benefits We offer competitive compensation based on experience, education, and skill level. Full-time employees also receive: • Health, dental, life, and disability insurance, • RRSP with company match, • Paid time off and parental leave, • Teledoc Health services, • Employee recognition and referral bonuses Diversity & Inclusion At Guideline.ai, we believe diverse teams build better products and stronger companies. We’re proud to be an equal opportunity employer and encourage applications from people of all backgrounds, experiences, and perspectives. Requirements: · 5-8 years of hands-on software engineering and machine learning experience, with at least 2+ years in a senior or lead role. · Bachelor’s degree in Computer Science, Data Science, or related field (Master’s preferred). · Deep expertise in Python, modern ML frameworks (PyTorch, TensorFlow, Hugging Face, scikit-learn), and cloud platforms (AWS, GCP, Azure). · Demonstrated hands on experience developing LLM-driven and agentic AI solutions. · Experience applying ML techniques to real-world problems, including time-series forecasting, clustering, classification, nearest-neighbor methods, and NLP/NER. · Experience building and deploying data pipelines and architectures (Snowflake, Databricks, dbt, Kafka, Airflow). · Strong foundations in software engineering, including CI/CD, versioning, testing, and code quality. · Ability to balance technical depth with business impact, aligning ML initiatives with measurable outcomes. · Proven experience mentoring engineers and shaping technical direction for a team. · Excellent communication skills, with the ability to simplify complex technical concepts for diverse audiences.

Job Description🚀 About PermitFlow PermitFlow is building AI agents for the $1.6T construction industry. We’re creating the leading pre-construction platform, starting with the $12B permitting market. Our platform automates the slow, manual permitting process for builders, covering everything from jurisdiction research to application preparation, submission, and real-time tracking. By transforming fragmented regulations and manual workflows into structured, intelligent systems, we help contractors move faster, reduce risk, and scale with confidence. We've raised $36.5M+ with Kleiner Perkins leading our Series A, joined by Initialized Capital, Y Combinator, Felicis Ventures, and Altos Ventures. Our backers include founders and executives from OpenAI, Google, Procore, ServiceTitan, Zillow, PlanGrid, and Uber. We are a team of architects, engineers, permitting experts, and product builders who have felt the pain of pre-construction firsthand and are committed to fixing it. Demand is growing faster than we can meet, and we’re hiring top talent to help us scale. Our HQ is in New York City with a hybrid schedule (3 in-office days per week). Preference for NYC-based candidates or those open to relocation. ✅ What You’ll Do As an Applied Machine Learning Engineer, you will develop the ML foundation for PermitFlow’s AI agents. You’ll design, prototype, and deploy intelligent systems that process documents, extract insights, and power autonomous permitting workflows. You will own the end-to-end ML lifecycle, from model research and data engineering to production deployment and continuous evaluation. You will: * Design, implement, and optimize LLM-powered models for document processing, data extraction, and permit workflow automation * Develop retrieval-augmented generation (RAG) pipelines and search/retrieval systems for jurisdictional and regulatory data * Rapidly prototype, fine-tune, and evaluate pre-trained models for real-world NLP tasks like classification, entity recognition, and summarization * Build scalable ML infrastructure and backend services, integrating models into production systems that power AI agents * Work with large structured and unstructured datasets to improve indexing, retrieval, and contextual accuracy * Own the full ML lifecycle: experimentation, deployment, monitoring, evaluation, and iteration * Balance ML, retrieval, and rule-based approaches to ship reliable, maintainable, and high-impact AI features * Collaborate with engineering, product, and domain experts to shape ML-powered solutions for complex pre-construction challenges 🙌 What We’re Looking For * 5+ years of experience in machine learning engineering, with production ML experience * Deep expertise in NLP and LLMs (OpenAI GPT, Claude, Hugging Face models) * Experience building retrieval and vector search systems (e.g., FAISS, Elasticsearch, Pinecone, Weaviate) * Proficiency in Python and ML frameworks like PyTorch or TensorFlow * Strong track record of deploying and scaling ML systems with measurable business impact * Experience with cloud ML infrastructure (AWS, GCP, or Azure) * Strong system design and architectural thinking, with a bias toward shipping and iterating quickly * Comfort operating in fast-moving startup environments with high ownership and autonomy 💙 Benefits * 📈 Competitive salary and meaningful equity * 🩺 100% paid health, dental, and vision coverage * 💻 Company laptop and equipment stipend * 🍽️ Daily meals via UberEats and a fully stocked kitchen * 🚍 Commuter benefits * 🎤 Team building events and offsites * 🌴 Unlimited PTO Compensation Range: $175K - $245K

Job Description We are a cutting-edge technology company at the forefront of the Artificial Intelligence (AI) revolution. Our mission is to create intelligent solutions that transform industries and drive innovation. We are seeking a talented and motivated Prompt Engineer to join our dynamic team and play a pivotal role in shaping the future of AI. Role Overview: As a Prompt Engineer, you will be a key member of our AI development team, responsible for designing and developing high-quality prompts that drive our AI models and algorithms. Your expertise in crafting effective and engaging prompts will be essential in enhancing the performance and capabilities of our AI systems. Responsibilities: • Collaborate with AI researchers and developers to understand project requirements and objectives., • Design and create a diverse range of prompts tailored to specific AI tasks and applications., • Develop creative and innovative ways to generate effective prompts that improve model performance., • Conduct extensive research to identify and curate relevant data sources for prompt development., • Ensure the prompts are designed to elicit desired responses and achieve the desired outcomes., • Optimize and fine-tune prompts based on continuous testing and feedback from AI models., • Analyze AI model outputs and make data-driven adjustments to improve prompt efficacy., • Stay up-to-date with the latest advancements in natural language processing and AI technologies., • Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred., • Proven experience in working with natural language processing and AI technologies., • Strong understanding of AI models, algorithms, and neural networks., • Experience in prompt engineering, creative writing, or content creation is a plus., • Proficiency in programming languages such as Python or JavaScript., • Solid knowledge of data collection, preprocessing, and annotation for prompt development., • Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face., • Strong analytical and problem-solving skills with a keen eye for detail., • Excellent communication and collaboration skills to work effectively in a team environment.

Job Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Solutions Engineer in New York. This role offers the opportunity to drive technical success for enterprise customers by providing innovative solutions that solve complex data challenges. The Senior Solutions Engineer will lead the technical sales process from initial engagement to post-sales support, ensuring customer satisfaction and long-term adoption. You will design and demonstrate solutions that showcase the value of advanced data technologies, collaborating closely with account managers and cross-functional teams. This position emphasizes creativity, technical expertise, and customer advocacy, offering a hands-on environment where you can influence both technology adoption and product development. Ideal candidates are passionate about connecting technical solutions to real-world business problems while building strong customer relationships. Accountabilities • Own the end-to-end technical sales process, including discovery, solution design, demonstrations, and post-sales support., • Collaborate with account managers to communicate the value of solutions and drive successful outcomes., • Design and implement customer solutions based on reference architectures, common patterns, and advanced data technologies., • Present product roadmaps and technical vision to inspire customers and expand adoption., • Serve as a customer advocate, providing feedback to product management and engineering teams., • Participate in external evangelism activities such as webinars, meetups, and conferences., • Bachelor’s degree from an accredited university., • Minimum 8 years of experience in a customer-facing, pre-sales, or technical solutions role., • Strong presentation and demonstration skills to effectively communicate complex technical concepts., • Hands-on experience with technologies such as Big Data, Data Warehousing, Relational Databases, and Data Engineering or Machine Learning platforms., • Familiarity with at least one major cloud provider (AWS, Azure, or GCP). Certification is a plus but not required., • Knowledge of enterprise operations, security, and data governance., • Experience with Unix or Linux environments., • Excellent written and verbal communication, problem-solving, and customer advocacy skills., • Generous PTO policy and flexible work-from-home options., • Support for work-life balance with Unplugged Days., • Comprehensive mental and physical wellness programs., • Phone and internet reimbursement., • Career development and continued learning opportunities., • Competitive benefits packages and compensation., • Paid volunteer time and access to Employee Resource Groups. 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.

Job Description Job Title: Senior Data Engineer Location: Remote, US Department: Engineering Type: Full-Time, Exempt Experience: 5+ years of experience Salary Range: $145,000-170,000 (+ bonus &equity) Core Hours: 9 AM - 1 PM PST About tvScientific tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business. Role Summary As the Senior Data Engineer at tvScientific, you will be a key player in implementing the robust data infrastructure to power our data-heavy company. You will collaborate with our cross-functional teams to build out our core data pipelines, store data in optimal engines and formats, and feed our machine learning models. This is an individual contributor role, where you will work to define and implement a strategic vision for data engineering within the organization. Your expertise in Spark and Scala (4 years minimum) will be critical for success. What You'll Do • Design and implement robust data infrastructure using Spark with Scala., • Build out our core data pipelines, store data in optimal engines and formats, and feed our machine learning models., • Collaborate with our cross-functional teams to design data solutions that meet business needs., • Leverage and optimize AWS resources., • Successful design and implementation of scalable and efficient data infrastructure., • Timely delivery and optimization of ETL processes., • High attention to detail in implementation of automated data quality checks., • Effective collaboration with cross-functional teams., • Minimum of 5 years of full-time experience in data engineering., • Proven experience building data infrastructure using Spark with Scala for at least 3 years., • Familiarity with data lakes, cloud warehouses, and storage formats., • Strong proficiency in AWS services., • Expertise in SQL for data manipulation and extraction., • Excellent written and verbal communication skills., • Experience in adtech., • Familiarity with Elastic Map Reduce (EMR)., • Familiarity with data table formats like Apache Iceberg, Delta., • Previous experience building out a Data Engineering function. At tvScientific we believe people do their best work when they feel challenged and engaged by their day to day responsibilities, when they're surrounded by smart, hard working people, and when they have a healthy work life balance. Our company culture and benefits package reflects these beliefs. • Full health, dental, and vision insurance - up to 95% funded by the company for employees., • Employee stock option program., • Company-sponsored retirement plan with a matching contribution program through Fidelity Investments., • 12 annual paid holidays (including 2 flexible days)., • Generous PTO policy (get your work done and take the time you need)., • A remote-first environment that allows employees flexibility to work from most places in the US. As tvScientists We Are... • Big Thinkers: We believe in setting audacious goals and envisioning transformative change., • Radically Transparent: We value transparency in all aspects of our business. We foster a culture of open communication, honesty, and accountability., • Performance-obsessed: We are passionate about achieving exceptional results. We strive for excellence in everything we do and set high standards for ourselves., • Data-driven: We embrace the power of data, science, and technology as crucial drivers of our success., • Trust Builders: We prioritize building and nurturing trust with our stakeholders. We understand that trust is the foundation of successful relationships and business partnerships. Through our actions, integrity, and commitment to delivering on promises.

Job Description We’re a technology-driven company focused on transforming the light industrial supply chain by connecting businesses with vetted workers to meet their staffing needs efficiently. Using advanced tools like predictive algorithms, machine learning, AI, and computer vision, we empower businesses to boost productivity while helping workers find opportunities that fit their lives. Backed by top-tier investors like Founders Fund, Khosla Ventures, and General Catalyst, we’re on a mission to unlock potential for everyone involved. What We’re Looking For We’re seeking a skilled and driven engineer to join our team and play a key role in delivering innovative, impactful solutions. This is a unique opportunity to work in a dynamic environment where your contributions will directly shape the future of our platform. Requirements: • 5+ Years of Experience: Skilled in TypeScript/JavaScript and frameworks like React or React Native., • Proven Track Record: A history of delivering high-quality, impactful products that users love., • Detail-Oriented: Strong attention to design and functionality, ensuring a pixel-perfect user experience., • Startup Experience: Comfortable navigating the challenges of early-stage development and thriving in ambiguity., • Passion for Impact: Driven by the mission to help people find meaningful work and improve their lives., • Technical Foundation: A STEM/CS degree from a top-tier institution, showcasing strong technical capabilities., • API Expertise: Experience in building and maintaining robust APIs. Why Join Us? You’ll be part of a team that’s not just building a product but reshaping how businesses and workers connect in the industrial space. We pride ourselves on fostering an environment of innovation, collaboration, and purpose. If you’re ready to take on meaningful challenges and make a real difference, we’d love to hear from you. This role is perfect for self-starters who thrive in fast-paced environments and want to be part of something transformative. Let’s build the future together!

Job DescriptionCareer Renew is recruiting for one of its clients a Quantitative Software Engineer - Crypto - this is a fully remote role for US/Canada based candidates. We lead the field in quantitative research and optimization of DeFi economics. We manage market risk, optimize growth, and ensure economic safety for protocols facilitating most spot trading, borrowing, and lending activity across all of DeFi, protecting and optimizing the largest protocols and networks in the industry. We build institutional-grade vaults for decentralized finance, delivering risk-adjusted onchain yields for capital at scale. Designed by the most vigilant, quantitative minds in crypto and informed by years of research. As of April 2025, we manage risk and incentives covering over $42 billion in customer TVL. We continually publish cutting-edge research that informs our risk models, alerts, and analysis, and is among the most cited institution — including academic institutions — in terms of peer-reviewed papers addressing DeFi as a subject. We’re a Series B company with around 75 employees, operating remote-first with a home base in New York City. Our mission is to drive adoption and understanding in the financial systems of the future. The unique challenges of decentralized systems call for innovative approaches in mechanism design, smart contract development, and financial product utilization. We lead in advancing this knowledge, ensuring safe progression through the evolving landscape of financial innovation. We are seeking highly skilled and motivated Quantitative Software Engineers to join our team. The ideal candidate possesses strong statistical and engineering skills, a passion for problem-solving, and the ability to work effectively in a fast-paced and collaborative environment. Responsibilities * Designing and implementing strategies for managing risk and optimizing DeFi protocols using quantitative models, simulations, and machine learning. * Develop tools and engines for parameter recommendations and drive impact to protocols. * Own the whole lifecycle of protocol integrations, including building data pipelines, working closely with cross-functional teams to define the data requirements and product offering. * Architect and refine data models and structures to support the evolving needs of DeFi analytics, simulations, methodologies and research development. * Contribute to making our core modeling platform world-class. * Maintain up-to-date knowledge of the latest industry trends, technologies, and techniques in software engineering. * Optimize Aera guardian logic to improve risk-adjusted yields, trade execution quality, and capital efficiency of strategies such as Protocol-Owned Liquidity for Aera Vaults. * Collaborate with other cross-functional teams, including internal and external teams * Stay current with the latest industry trends, market risk vectors, and market conditions to ensure that Aera strategies stay on the cutting edge of crypto and DeFi innovation. Qualifications * Minimum 4 years of direct hands-on experience trading or analyzing financial markets (crypto or traditional) professionally. * Experience developing statistical or quantitative models for financial markets. * Understanding of blockchain and DeFi protocols, concepts, and best practices (or a strong desire to learn). * Proficient at writing code in Python and SQL with a solid understanding of software engineering principles. * Knowledge of workflow orchestration (e.g., Dagster, Airflow) and distributed data processing technologies (Spark). * Excellent understanding of statistical modeling, machine learning, and optimization algorithms. * Experience with scientific computing packages such as Numpy/Scipy, Pandas, etc. * Ability to quickly internalize abstract concepts in new domains, coupled with strong problem-solving skills and attention to detail. * Ability to work independently and within a team, manage multiple projects, and meet deadlines. * Strong communication skills and the ability to work collaboratively in a distributed team environment. Bonus Points * Contribute to the forefront of DeFi economic understanding and optimization. * Work on projects that value deep research, quality, and practical outcomes. * Collaborate with a team committed to defining future financial systems. * Master’s or Ph.D. in Quantitative fields like Mathematics, Economics, Computer Science, Physics, or similar fields is a plus. Compensation & Package We provide base salary, On Target Earning potential in terms of cash bonuses & equity refreshers, in addition to your initial equity grant based on our Series B eval Benefits and Perks * Remote first - work from anywhere in the US & CAN! * Competitive packages with the added opportunity for incentive-based compensation * Regular in-person company retreats and cross-country "office visit" perk * 100% paid medical, dental and vision premiums for employees * Laptop provided * $1,000 WFH stipend upon joining * $100 per month reimbursement for fitness-related expenses * Monthly reimbursement for home internet, phone, and cellular data * Unlimited vacation policy * 100% paid parental leave of 12 weeks * Fertility benefits

Job Description Are you ready to join an amazing team and make a significant impact on the future of decision-making? Verneek is a deep-tech AI startup that is on a mission to build the most helpful AI experiences in the consumer space. We believe that AI can truly augment knowledge and provide valuable insights to everyone, anywhere, at any time. Join us and be at the cutting edge of the AI revolution! If you are tired of working on mundane projects and want to be part of a fast-paced startup where you can learn, innovate, and contribute every single day, Verneek is the perfect opportunity for you. As a fullstack engineer, you will play a crucial role in building complex AI and NLP models to support our AI platform. At Verneek, you will have the opportunity to work on unique, complex, and socially impactful problems. As an early-stage startup, there are no legacy obstacles holding us back, and your contributions will have a direct impact on the success of the company. RESPONSIBILITIES MINIMUM QUALIFICATIONS • 3+ years of experience in building high-performance applications, • Strong proficiency in TypeScript, • Strong proficiency in React, • Strong proficiency in NextJS, • Portfolio of prior projects with a complex backend, • 4+ years of experience in designing, implementing, and maintaining complex software, • Good grasp of computer science fundamentals, including algorithms Benefits Stellar medical, dental, vision, disability, and life insurance Daily private Chef lunch, curated to personal diets Transportation Benefits 401K matching contributions Flexible PTO Visa/Green Card Sponsorship Career growth support through sponsoring learning opportunities and mentorship Salary range: 80K-140K About Verneek Verneek is an early-stage deep-tech AI startup, based in the NYC area, founded by a team of leading AI research scientists and backed by a group of world-renowned business and scientific luminaries. Our mission is to build the most helpful AI for anyone, anywhere, at anytime. We are obsessed with what we do and we have fun doing it. Read more about verneek here: and make sure to watch all our yearly recaps here: . Verneek Culture It’s often hard to put “culture” into words, perhaps you can get a visual sense of our culture here: .. We all obsessively love what we do, care about each other, share all sorts of meals together, celebrate all kinds of events together, and work tirelessly with the excitement of making a difference through AI innovation. We are enjoying the journey, and going through all the ups and downs together. Although we have come a very long way in setting the foundations of our unique company, but we still have ways to go and you can help shape our culture! The core Verneek team plays a crucial role in further shaping the culture of the company moving forward. We are looking for highly ambitious and tremendously driven individuals who can take the lead in driving various aspects of the company, and help us shape its lasting impact.

Job Description Software Engineer NYC Data Science Innovation Center – Investment Management They are creating groundbreaking, next-generation Data Science, Predictive Analytics and Machine Learning applications for n-tier cloud architectures employing new paradigms such as cloud computing, lightweight microservices and data sciences! You will play a key role in helping build the future of financial services, working together with business partners to create client experiences that are changing the way people invest. You will be working on developing (Object-Oriented Technologies) the firm's next generation data distribution and analytics platform, with the aim to seamlessly deliver real-time and on-demand investment data to a global network of distributed trading and research platforms. J Harlan Group is currently conducting a search for a Software Engineer at a prominent Asset Manager in their NYC Data Science Technology Development Center (TDC). The TDC is expanding their Data Science Technology Innovation Center team where they are creating groundbreaking, next generation Data Science, Predicative Analytics and Machine Learning technologies. This role is eligible for remote work up to three days a week. The TDC is developing the firm's next-generation applications for n-tier cloud architectures employing new paradigms such as cloud computing, lightweight microservices, data sciences and distributed and non-relational databases to deliver elastically scalable, globally distributed and highly resilient software services. Technologists at this organization are playing a key role in helping build the future of financial services, working together with business partners to create client experiences that are changing the way people invest. They're looking for experienced Software Developers / Engineers to join their new Technology Development Center in Manhattan. They want technologists with a fresh perspective who are passionate about solving complex business, data, and technical challenges. You'll work with smart, talented people across our business to create groundbreaking, next-generation applications for n-tier cloud architectures. You'll be involved, hands-on, through the entire development cycle. And you'll redefine the way our traders, portfolio managers and analysts serve our clients. This is a “hands-on”, full development lifecycle role that provides an opportunity to solve complex business, data, and technical challenges. As a key contributor throughout the entire development cycle, you will be required to think outside the box and bring cutting edge technology in-house. The ideal candidate would have a background: Core Attributes: • Craftsman-like approach to building software; takes pride in engineering excellence and instills these values in others, • Demonstrable passion for technology (e.g., personal projects, open-source involvement) while using their problem-solving capabilities to deliver solutions utilizing a top end engineering approach, • Focused on delivering value to the business with relentless efforts to improve process, • Exceptional technology skills; recognized by your peers as an expert in your domain, • A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review or pairing, unit testing, refactoring and related approaches Required Technical Experience: • Professional Object-Oriented development experience - 2+ Years of professional development experience with an Object-Oriented language (Java, Python, C#), • Experience with React and/or Angular helpful, • Experience with automated delivery pipelines, agile delivery and test-driven development, • In-depth knowledge of software design patterns, • Experience with AI and Machine Learning application development preferred, • Solid understanding of cloud native architectures (AWS, etc.) for containerized microservices and real-time systems Required Domain Experience and Soft Skills: • Experience working in a dynamic, fast-paced, Agile team environment Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business leaders, • Confident communicator: able to argue a point concisely and deal positively with conflicting views, • Enthusiasm for learning & results oriented, • A solid understanding of financial markets and instruments is a plus Required Education: • Strong academic record and a BA/BS degree with high mathematical and computing content (e.g. Computer Science or Engineering or a related technical field) An individual who loves solving deep and complex technical and business problems and wants to have an outsized impact with the services/ products they deliver. An individual with a passion for application development, high level of intellectual curiosity, a commitment to excellence and an unparalleled drive to deliver world-class services. If you or anyone in your network would be interested in this opportunity, please send resume to Jerry Goldberg at or directly contact us at (212) 792-0099 About the Client: The firm is a publicly owned global asset management firm with $800+ billion dollars of AUM. The firm offers funds, advisory services, account management, and retirement plans and services for individuals, institutions, and financial intermediaries. The talent and dedication of their people is critical to their success. They offer an opportunity for developing one's professional career while working with individuals trained in a variety of disciplines in a collegial and dynamic environment. They offer a broad range of competitive benefits on a global basis. They seek candidates who are high-energy self-starters who want to join an investment management firm on the leading edge of the global markets. The management team needs individuals of the highest professional caliber who are leaders, problem solvers, analytic, detail-oriented, and entrepreneurial. Everyone at the firm works side-by-side with the firm's senior management in a highly collaborative and charged environment. Successful candidates are: • Analytic and relentless in pursuit of the right answer, • Strong communicators who excel at rapid synthesis, • Able to demonstrate sound business judgment, • Able to digest complexity while maintaining an understanding of the “big picture” of business needs, • Team players who are energized by a collaborative enterprise The firm's employees maintain the highest professional and ethical standards. The firm has earned a reputation for honesty, fair dealing, and transparency in a competitive industry. They believe that these standards are the foundation for superior investment performance and are critical to delivering performance to clients SALARY RANGE: The salary range is $115,500 - $197,000 plus employees may also be eligible for annual discretionary incentive compensation. Actual compensation within that range will be dependent upon the individual's skills, experience, qualifications, location, and applicable laws. Work Flexibility: This role is eligible for remote work up to three days a week. Benefits: The firm invests in their people through a wide range of programs and benefits, including: • Competitive pay and bonuses as well as a generous retirement plan and employee stock purchase plan with matching contributions, • Flexible and remote work opportunities, • Health care benefits (medical, dental, vision), • Tuition assistance, • Wellness programs (fitness reimbursement, Employee Assistance Program)

Job Description Senior Machine Learning Engineer - up to $200k base + equity We accelerate the deployment of climate tech solutions by providing clients with industry leading insights, data, analytics, and research on both technologies and markets. Our subscription intelligence platform gives investors, corporates, and governments the insights they need to anticipate developments and to confidently build and finance the new climate economy. We produce the industry-leading newsletter read by 60,000 climate leaders. We are looking for a Senior Machine Learning Software Engineer to join our engineering team. As a Senior ML Software Engineer, you will design, develop and implement software solutions across our machine learning and data stack, and play a crucial role in delivering insights into the new climate economy to investors, corporates, and governments mobilizing strategies in the climate transition. Our ideal candidate has a strong technical background and a willingness to “wear many hats”, learn new skills, and take the initiative to develop new features as needs arise. The Role • Collection — Implement web scraping and other collection techniques to increase the speed, efficiency, and breadth of data collection., • Processing — Implement AI, natural language processing, and machine learning models to extract, classify, and transform data., • Infrastructure — Assist in developing and maintaining our internal data server and web interface. This will include developing new features for data entry and validation of AI-generated data., • Analysis — Analyze the performance of the machine learning and data stack to identify opportunities to improve coverage and accuracy. The Essentials • 5+ years experience as a Software Engineer, Machine Learning Engineer, Data Engineer or equivalent, • Deep expertise in Python development, • Experience in machine learning / natural language processing, • Proven history developing and maintaining production-grade software, • A passion for addressing the climate crisis through high quality research and data, • Interest in working for a fast-moving startup with a small, international team, • A BSc degree in Computer Science, Engineering or other relevant field A Plus • Experience using Django and AWS, • A successful history of manipulating, processing and extracting value from datasets, • Experience working with Jira / Agile framework, • Experience using Bitbucket Pipelines, • Working understanding of climate tech sectors Our Offer • Opportunity to work and learn at a fast-growing climate tech startup, • Hybrid office based in New York, • Generous base salary + stock options, • Flexible working hours, • 20 days PTO + federal holidays, • Health coverage and 401(k)

Job Description Senior Frontend EngineerWe’re looking for a Senior Frontend Engineer to lead the development of modern, high-performance user interfaces for a fast-scaling, AI-enabled SaaS platform. In this role, you’ll take ownership of our UI architecture, contribute to a growing design system, and deliver pixel-perfect experiences across browsers and devices.You’ll work closely with product and design teams to shape intuitive, accessible, and responsive interfaces that elevate the user experience. If you're passionate about clean, scalable UI and excited to build next-gen features powered by AI, we’d love to connect. Responsibilities: • Own the implementation and evolution of UI components, styling architecture, and design tokens, • Lead frontend efforts to enhance accessibility, performance, and responsiveness, • Collaborate with product and design teams to explore and validate interface patterns early in development, • Deliver pixel-perfect implementations that work seamlessly across all modern browsers and screen sizes, • Mentor frontend developers on best practices around CSS architecture, responsive design, and accessibility, • Help expand and maintain the internal design system (e.g., with tools like Figma, Storybook, etc.), • Conduct UX/UI audits and recommend improvements to drive a better user experience Required Skills:, • 5+ years of experience building modern web application UIs, • Deep expertise in HTML5, CSS3/SASS, JavaScript, Typescript, and React, • Strong experience working with and scaling design systems, • Solid understanding of responsive design, cross-browser compatibility, and mobile-first development, • Experience integrating with AI or machine learning APIs, • Skilled in translating designs into code with pixel-level accuracy, • A passion for interaction design, consistency, and building scalable component libraries Compensation:, • $150,000 - $180,000 base salary + equity

Job Description The Role Join our team and help build the world's first biological reasoning model. Work with us to build generative foundational models that decode biological systems across scales - from molecules to organisms - enabling us to predict, understand, and program living systems in ways never before possible. Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier VCs including Y Combinator. As a Machine Learning Engineer, you'll work alongside our founders and team members to develop and implement cutting-edge AI systems capable of complex biological reasoning across multiple scales. * You will build foundational models for biology capable of reading and writing biology at scale * You will develop deep generative models for biological applications, exploring innovative architectures to capture the complexities of multi-scale biological systems * You will work on distributed training systems to scale our models to billions of parameters, optimizing for performance and efficiency across multi-GPU and multi-node setups while handling large-scale biological datasets * You will engineer efficient data pipelines to manage and process massive biological datasets, addressing challenges in data loading, splitting, and memory optimization * You will develop and implement robust evaluation frameworks for complex biological models, ensuring data integrity and preventing leakage across dataset splits Who We're Looking For: * You have a Bachelor's in Computer Science, Machine Learning, or a related technical field * You have 3+ years of experience in developing and implementing deep generative learning models * You have experience pre-training models and are proficient in distributed computing environments * You are proficient in Python and have expertise in at least one major deep learning framework (PyTorch, TensorFlow, or JAX) * You have experience with deep learning and generative architectures such as transformers, diffusion models and autoencoders * You are skilled in working with terra-scale datasets and scaling models to billions of parameters * You have a strong understanding of machine learning fundamentals, including various model architectures, optimization techniques, and evaluation metrics * You have experience in designing and implementing efficient data pipelines for processing and managing large datasets * You are experienced in developing robust evaluation frameworks and ensuring data integrity in machine learning projects * You are experienced in code organization, version control, and collaborative software development practices. Who You Are: * You have excellent problem-solving skills and the ability to quickly adapt to new challenges * You exhibit a proactive approach to problem-solving, thinking beyond the specific task, taking ownership of challenges, and pride in solving them * You have a mature mindset in ambiguous situations, helping to frame questions and seek clarity while making decisions in the face of uncertainty * You have excellent communication skills and can clearly articulate complex technical concepts * You are motivated by making a real impact and are committed to tackling problems of significant consequence with determination and creativity Bonus points * You have experience applying machine learning to biology or chemistry * You have contributed to open-source machine learning projects or published research papers in the field of AI/ML * You have experience optimizing machine learning models for high-performance computing environments * You are familiar with ML-Ops practices and tools for managing ML experiments and deployments Our Values ❤️ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions. 🏆 Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards. 🚀 Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of our patients and the broader community. 📣 Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner. 🎮 Fun: We believe that life is too short to not have fun. That's why we're committed to creating an engaging and enjoyable work environment. Our goal is to create a workplace that is fun, rewarding and fulfilling. What We Offer * We encourage new and different ideas, creativity and contrarian thinking. * You own your day-to-day management. What we care about is that we all hit our milestones. * Competitive salary and equity in a growing, well-funded startup * Excellent medical, dental, and vision coverage * Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you * We are looking forward to further shaping our culture with early team members. You'll have a chance to make your mark! Compensation Range: $110K - $250K

Job DescriptionResponsibilities • Lead the Machine Learning and Applied Science team through strategic roadmaps to support business initiatives with high impact., • Guide the teams technically, engaging in architecture definition, implementation of best practices, and troubleshooting when needed., • Mange the team through all phases of machine learning development, from concept and design to deployment and monitoring., • Stay ahead of state-of-the-art research and industry trends in machine learning, computer vision, pricing algorithms, and related fields., • Collaborate with other Engineering and Product teams to evaluate requirements and use cases for new systems., • Invest in the career development of the team members, develop future leaders, and create a culture of cohesion and teamwork., • Participate in talent acquisition processes to ensure that we have world class engineers across all skill and experience levels., • Establish metrics to measure the productivity of the team, hold people accountable and identify people issues early.Requirements and Qualifications, • PhD or MS in Computer Science, Statistics, Operations Research or a relevant quantitative discipline. PhD is strongly preferred., • 5+ years of industry experience, with at least 1+ years of experience leading machine learning teams preferably in computer vision or pricing domain., • 2+ years of experience as a hands-on senior, staff, or principal engineer with demonstrated end-to-end ownership of a machine learning project before transitioning into managing teams., • Expert level knowledge in Python and SQL for model development and statistical analysis., • Proficiency in ML frameworks such as TensorFlow, PyTorch, or scikit-learn., • Proficiency in edge computing, distributed systems, and cloud platforms (e.g., AWS, GCP, Azure)., • Strong foundation in data structures, algorithms, and optimization techniques., • Experience with common program management (MS Project, Visio, etc.) and productivity (Confluence, Jira, etc.) tools., • Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiences., • Previous experience working inside innovative, high-growth environments is a plus., • Publications or patents in relevant fields such as machine learning, computer vision, or optimization is a plus.Company DescriptionStaffSource is committed to creating long-term partnerships where we can truly affect both clients’ and candidates’ lives for the better. Our success is rooted in matching talented professionals with environments that suit their goals, personalities, lifestyles, and skills. A perfect placement allows candidates to thrive in their new role and hiring managers to fill their openings with top talent that aligns with both the needs of their team and the company’s culture. Founded in 2003, StaffSource now has a 20+ year company history with business units operating within Information Technology, Accounting and Finance, Sales, Executive Search and more. Still headquartered in Knoxville, TN and lead by our founder John Sharpe, we are now serving clients and candidates all across the United States. We conduct national, regional, and localized talent searches based on the specific needs of each client and the unique goals of top talent everywhere.StaffSource is committed to creating long-term partnerships where we can truly affect both clients’ and candidates’ lives for the better. Our success is rooted in matching talented professionals with environments that suit their goals, personalities, lifestyles, and skills. A perfect placement allows candidates to thrive in their new role and hiring managers to fill their openings with top talent that aligns with both the needs of their team and the company’s culture.\r\n\r\n Founded in 2003, StaffSource now has a 20+ year company history with business units operating within Information Technology, Accounting and Finance, Sales, Executive Search and more. Still headquartered in Knoxville, TN and lead by our founder John Sharpe, we are now serving clients and candidates all across the United States. We conduct national, regional, and localized talent searches based on the specific needs of each client and the unique goals of top talent everywhere.

Job Description#TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. Meet Your Future Neighbors In conjunction with Product Management and Design, the Engineering team at Nextdoor is responsible for bringing to life our mission of being the neighborhood hub for trusted connections and the exchange of helpful information, goods, and services. Working in small cross-functional teams, you'll work in an agile environment that values code quality, learning quickly, and personal growth through collaboration and challenge. You will collaborate with Frontend, Backend, Data Science, Infrastructure, Machine Learning Engineers and more to collectively improve the state of Engineering at Nextdoor. All engineers are invited to join co-ops to facilitate continuous modernization and knowledge sharing. At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment experience, providing a flexible experience for our valued employees. The Impact You'll Make As a Senior Frontend Engineer on the team, you will be responsible for contributing to the architecture, usability, and reliability of the engineering ecosystem. We believe in empowering our teams to own all aspects of bringing Nextdoor to life. As such, you'll get the opportunity to make key contributions across the Frontend - this includes developing and improving frameworks, in addition to making direct contributions to your team's product area, and collaborating closely with multiple teams, stakeholders, and peers. Software Engineers at Nextdoor have a stake in all aspects of the product - from coming up with the next big ideas to build, to helping set expectations and plan roadmaps, to understanding the impact of new features through rigorous data analysis. As your career at Nextdoor develops, you'll also get the chance to mentor new team members, and grow your role towards what you're most passionate about. What You'll Bring To The Team • 5+ years of Software Development experience, and/or the ability to perform at an advanced level in the domain, • Expertise in modern React, TypeScript, JavaScript, Redux / Recoil, Jest, and CSS, • Expertise in at least one server-side web application language is a plus. Python/Django, Java, Kotlin, mobile development, and/or SQL experience is a plus, • Knowledge about GraphQL (Apollo / Relay), accessibility, internationalization, running online A/B experiments is a plus, • Experience with CI/CD systems and testing frameworks is a plus, • Experience within the AWS ecosystem is preferred, • Ability to design and implement heavily used services and systems, • Strong collaboration and communication skills, both verbal and written, • Strong desire to learn new technologies, • Ability to be flexible and adaptable in work environment, • Ability to mentor junior engineers across teams, • Participate in in-person Nextdoor events, trainings, off-sites, volunteer days, and other team building exercises The starting salary for this role is expected to range from $165,000 to $250,000 USD on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. We expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date would be within the first 3 months of your start date. When it comes to benefits, we have you covered! Nextdoor employees can choose between a variety of health plans, including a 100% covered employee only plan option, and we also provide a OneMedical membership for concierge care. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about our collection and use of applicants' personal information, please see Nextdoor's Personnel Privacy Notice, found here.

Job Description We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. If you also have knowledge of data science and software engineering, we’d like to meet you. Your ultimate goal will be to shape and build efficient self-learning applications. Responsibilities • Study and transform data science prototypes, • Design machine learning systems, • Research and implement appropriate ML algorithms and tools, • Develop machine learning applications according to requirements, • Select appropriate datasets and data representation methods, • Run machine learning tests and experiments, • Perform statistical analysis and fine-tuning using test results, • Train and retrain systems when necessary, • Extend existing ML libraries and frameworks, • Keep abreast of developments in the field Requirements • Proven experience as a Machine Learning Engineer or similar role, • Understanding of data structures, data modelling and software architecture, • Deep knowledge of math, probability, statistics and algorithms, • Ability to write robust code in Python, Java and R, • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn), • Excellent communication skills, • Ability to work in a team, • Outstanding analytical and problem-solving skills, • BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus

Job Description We are Rokt, a hyper-growth ecommerce leader. Rokt is the global leader in ecommerce, unlocking real-time relevance in the moment that matters most. Rokt’s AI Brain and ecommerce Network powers billions of transactions connecting hundreds of millions of customers, and is trusted to do this by the world’s leading companies. We are a team of builders helping smart businesses find innovative ways to meet customer needs and generate incremental revenue. Leading companies drive 10-50% of additional revenue—and often all their profits—from the extra products or services they sell. This economic edge unleashes a world of possibilities for growth and innovation. At Rokt, we practice transparency in career paths and compensation. At Rokt, we believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt’stars constantly strive to raise the bar, pushing the envelope of what is possible. We are looking for a Software Engineer A fixed annual salary of $100,000 - $170,000, an employee equity plan grant, and world-class benefits. Equity grants are issued in good faith, subject to company policies, board approval, and individual eligibility. About the role: Join Rokt as a Software Engineer and become a driving force in building AI-powered products that shape the future of ecommerce. In this high-impact role, you’ll leverage cutting-edge AI tools and a builder’s mindset to develop scalable solutions used by millions of customers worldwide. If you’re excited by the challenge of turning bold ideas into reality and pushing the boundaries of what’s possible with AI, this opportunity is for you. Requirements What You’ll Do • Design & Build Innovative Products: Develop and iterate on next-generation ecommerce features and services, using AI and machine learning to create intelligent, personalized experiences., • Accelerate Development with AI: Leverage AI-driven tools and automation to speed up coding, testing, and deployment, allowing you to focus on creative problem-solving and quality., • Full-Stack Product Ownership: Work across the entire product lifecycle—from ideation and prototyping to implementation and continuous improvement—ensuring each feature delivers real value., • Collaborate & Innovate: Partner with product managers, designers, and other engineers to conceptualize and implement AI-driven solutions that enhance user experience and drive business outcomes., • Optimize & Scale: Identify performance bottlenecks and opportunities for improvement in our systems. Use data insights to refine user interfaces, optimize algorithms, and ensure our platform can scale to billions of transactions., • Drive Revenue Growth: Spearhead the development and deployment of innovative features and capabilities that directly drive growth of the business, with the potential to generate millions of dollars in additional revenue.Who You Are, • AI-Enthusiast & Quick Learner: You embrace new technologies (like AI/ML frameworks) and learn rapidly, adapting to innovative tools and workflows to stay ahead of the curve., • Problem Solver: You excel at breaking down complex problems using first principles and creativity. Challenges are puzzles you’re excited to solve., • Entrepreneurial Mindset: You take ownership of outcomes, move fast with confidence, and aren’t afraid to navigate ambiguity—figuring things out independently when needed., • Collaborative Team Player: You communicate clearly and work well with cross-functional teams. You value feedback, share ideas openly, and help others succeed., • Build the Future of AI in Ecommerce: Be at the forefront of AI-driven transformation in a company that’s pioneering how brands engage customers in the “moment that matters” during online transactions., • Hyper-Growth = Fast Progression: Rokt is a rapidly growing tech leader, which means huge opportunities for your career advancement, learning, and taking on bigger responsibilities quickly., • Culture of Builders: Work with a smart, humble, and bold team that shares a “builder” DNA – we love to innovate, take risks, and turn ambitious ideas into tangible results. We win as a team and learn from every experiment., • Ownership & Impact: Every Rokt’star (employee) has a voice and real equity in the company. You’ll have autonomy to make decisions, drive projects, and see the direct impact of your work on millions of users., • World-Class Benefits & Support: Join a people-first culture with transparent career paths, continuous development, and great perks (equity grants, catered lunches, global offices, and more) that empower you to do your best work. About The Benefits: We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves, and offering a great list of perks and benefits to go with it: • Become a shareholder. Every Rokt’star gets equity in the company, • Enjoy catered lunch every day and healthy snacks in the office. Plus join the gym on us!, • Extra leave (bonus annual leave, sabbatical leave etc.), • Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and get fully funded premium health insurance!, • Dog-friendly office, • Work with the greatest talent in town, • See the world! We have offices in New York, Seattle, Sydney, Tokyo and London We believe we’re better together. We love spending time together and are in the office most days (teams are in the office 4 days per week). We at Rokt choose to create a company that is as diverse and inclusive as the world we live in by attracting, growing & keeping the best talent. Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If this sounds like a role you’d enjoy, apply here, and you’ll hear from our recruiting team. Note: The first stage of the recruitment process for this role is to complete a 15-minute online aptitude test as well as an employee personality profile assessment, which will be sent out to your application email. Successful candidates will be contacted to discuss the next steps.

Job Description Are an AI Technical Architect that wants to be a part of a dynamic Center of Excellence that’s shaping the future of AI across enterprise platforms. This elite team of machine learning engineers, data scientists, and AI architects is pushing boundaries to deliver cutting-edge solutions that power real-world decision-making. What You’ll Do • Strategize AI Architecture: Define and implement scalable architecture strategies, best practices, and roadmaps that streamline model deployment and monitoring., • Design ML Systems: Build custom AI pipelines for batch and stream processing, from data ingestion to scaled model computation—ensuring performance and reliability., • Collaborate Across Disciplines: Work closely with data scientists, ML engineers, and software developers to integrate models into production systems., • Engineer Infrastructure: Architect robust, scalable infrastructure for model training, deployment, and monitoring., • Lead Deployment Patterns: Design and implement reliable, scalable production environments for AI models., • Monitor Performance: Create systems to track model accuracy, data quality, and infrastructure health., • Ensure Security & Compliance: Uphold data protection standards and regulatory compliance across AI systems., • Document & Share Knowledge: Maintain clear, comprehensive documentation to support collaboration and continuity., • Champion Best Practices: Promote governance and standards in AI pipeline and model monitoring., • Solve Complex Problems: Tackle challenges in deployment and data pipelines with innovative, scalable solutions., • Drive Thought Leadership: Influence technical strategy and executive decisions in generative AI and emerging technologies., • Build Enterprise-Ready Systems: Develop AI systems that scale reliably and deliver long-term business impact. Compensation & Benefits (US Applicants) • Base Salary Range: $150,000 – $210,000, based on location, experience, and qualifications., • Additional Benefits: Includes comprehensive health, retirement, and wellness programs. What You Bring • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, • Experience in ML engineering, architecture, or data science within distributed/cloud environments, • Experience in designing and implementing ML architecture for enterprise-scale AI solutions, • Proven experience engaging stakeholders in AI roadmap planning and execution, • Strong background in Agile methodologies, • Expertise in distributed computing, orchestration technologies, and cloud platforms, • Proficiency in ML development tools and MLOps practices, • Familiarity with DevOps, CI/CD pipelines, and version control systems, • Deep understanding of AI trends and platform evolution This role is a hybrid position so you will be required to commute to the NY or NJ office.

Job Description At Continua, 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 Continua to your group texts to kick its tires! We've seen rapid growth over the last quarter, and are looking for someone who can help us improve the quality of our agent experience and scale to the next level. This a hybrid position that can be based in Seattle, WA or New York, NY. What you'll do: 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. Who you are: You're an experienced machine learning engineer with broad knowledge and skills in natural language processing (NLP). 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: * Know the pitfalls and tricks for building with LLMs, especially RAG systems * Have experience with the level of obsession over detail needed to produce high quality ML systems. * Are experienced and comfortable building backend systems and working across a code base, not just in Jupyter notebooks. * Are experienced writing Python (knowing Go is a plus) * You know how to work independently to handle ambiguity We're willing to compromise on years of experience for the right candidate who brings energy, intelligence, and a passion for our mission. A little about us: Our team is a fantastic bunch 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. Compensation & Benefits: 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: 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 .

Job Description 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: In order to transform how millions of users explore, interact with, and participate in live events worldwide, StubHub is seeking Senior Software Engineers to design and develop next-generation technologies and complex features. As a Senior Software Engineer, you will be at the forefront of tackling significant, ambiguous, and non-trivial challenges as a core contributor and innovator, bringing creative technical solutions to life. In order to ensure our company's success, our Senior Software Engineers must demonstrate initiative and enthusiasm for the problems they tackle. StubHub is committed to being a phenomenal and inclusive place to work. As a Senior Software Engineer, you will also be an advocate and mentor for your team members, displaying leadership qualities and being an example for those around you. Location: Onsite (3 days in office/2 days remote) – New York, NY, Santa Monica, CA, or Aliso Viejo, CA About the team: The Infrastructure team is a group of highly motivated engineers focused on enabling the foundation for rapid, reliable, and scalable product development at StubHub. We own and evolve the internal service catalog and core compute platforms which power the creation of applications and services across the company. Our responsibilities include build systems, deployment tooling, artifact management, infrastructure provisioning, and cloud resource management. We also own foundational capabilities like service attribution. We work closely with engineering teams across the organization to promote infrastructure best practices, self-service platforms, and operational excellence. What You've Done: • 5-6+ years of professional experience in software development, • Experience with developing robust, mission-critical systems using one or multiple general-purpose programming languages (e.g., C/C++, Java, C# or any other OOP language), • Track record building robust, mission-critical systems—particularly in areas such as infrastructure, distributed systems, machine learning platforms, security, or privacy, • Designed and delivered complex solutions with high business impact, emphasizing enablement and self-service, • A strong understanding of how systems interact with the broader production environment, including dependencies and platform primitives, • Hands-on experience using Infrastructure as Code (IaC) tools like Terraform or CloudFormation to build reliable and maintainable platforms, • A growth mindset with demonstrated ability to quickly learn new programming languages, platforms, and tools, • Experience owning projects from the initial idea all the way to production, • Experience mentoring junior engineers What You'll Do:, • Design, develop, test, deploy, and maintain impactful improvements across all StubHub's platforms and products, resulting in high-quality outcomes, • Collaborate with team members to ensure best practices across our code, • Manage individual initiative priorities, deadlines, and deliverables with your technical expertise, • Accelerated Growth Environment: 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: Competitive base, equity, and upside that tracks with your impact., • 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.

Job Description Job Description: As a Machine Learning Engineer, you will play a pivotal role in driving the development and implementation of cutting-edge machine learning solutions for our client. Your responsibilities will encompass a wide range of tasks, from leading a small team of machine learning engineers to collaborating with cross-functional teams to deliver impactful solutions. You will be at the forefront of driving innovation and leveraging the power of machine learning to solve real-world problems, drive business growth, and create value. Key responsibilities: • Lead and drive machine learning projects from inception to production: build relationships with business partners and cross-functional teams., • Collaborate with business leaders, subject matter experts, and decision-makers to develop success criteria and optimize new products, features, policies, and models., • Partner with data scientists to understand, implement, train, and design machine learning models., • Collaborate with the infrastructure team to improve the architecture, scalability, stability, and performance of ML platform., • Construct optimized data pipelines to feed machine learning models., • Extend existing machine learning libraries and frameworks., • Develop processes, model monitoring, and governance framework for successful ML model operationalization., • Define objectives for the Machine Learning platform, own the technical roadmap, and be accountable for delivering results., • Define standards for engineering and operational excellence for running best-in-class ML platforms and continue to improve ML platforms to keep up with the latest innovations., • 7+ years of experience in Machine Learning., • Extensive software engineering experience with strong working experience as a Machine Learning Engineer., • Bachelor's degree in computer science, computer engineering, or a related engineering field. Masters degree preferred., • Advanced proficiency with Python, Java, and Scala., • Strong computer science fundamentals such as algorithms, data structures, multithreading., • Experience working with Generative AI, using LangChain for Gen AI and techniques like RAG., • Experience using ML and DL Libraries:XGBoost, SKlearn, Tensorflow or PyTorch, • In-depth experience building solutions using public clouds such as AWS, GCP., • Experience using ML platforms like SageMaker, H2O, DataRobot, etc., • Strong knowledge on ML model development life cycle components like containers, batch vs real time inference endpoints, application security testing etc., • Experience managing relationships in a cross-functional environment with multiple stakeholders., • Experience with developing and deploying production-grade applications with ML inferences using automation pipeline on cloud., • Experience working in Agile/ Scrum development process., • Thought leadership and innovative thinking., • Excellent communication and collaboration skills.

Job Description Are you ready to join an amazing team and make a significant impact on the future of decision-making? Verneek is a deep-tech AI startup that is on a mission to build the most helpful AI experiences in the consumer space. We believe that AI can truly augment knowledge and provide valuable insights to everyone, anywhere, at any time. Join us and be at the cutting edge of the AI revolution! If you are tired of working on mundane projects and want to be part of a fast-paced startup where you can learn, innovate, and contribute every single day, Verneek is the perfect opportunity for you. As a fullstack engineer, you will play a crucial role in building complex AI and NLP models to support our AI platform. At Verneek, you will have the opportunity to work on unique, complex, and socially impactful problems. As an early-stage startup, there are no legacy obstacles holding us back, and your contributions will have a direct impact on the success of the company. RESPONSIBILITIES MINIMUM QUALIFICATIONS • 3+ years of experience in building high-performance applications, • Strong proficiency in TypeScript, • Strong proficiency in React, • Familiar with React Native, • Knack for getting the visuals right, • Strong proficiency in NextJS, • Experience with front-end testing frameworks (e.g., Jest, Cypress) is a plus., • Portfolio of prior projects with a complex backend, • 4+ years of experience in designing, implementing, and maintaining complex software, • Good grasp of computer science fundamentals, including algorithms, • Experience with machine learning systems and working with AI teams, • Experience with WYSIWYG editors Benefits Stellar medical, dental, vision, disability, and life insurance Daily private Chef lunch, curated to personal diets Transportation Benefits 401K matching contributions Flexible PTO Career growth support through sponsoring learning opportunities and mentorship Salary range: 80K-140K

Job DescriptionPlease note: This role is Hybrid, with 3-4 days in office per weekThe Opportunity We are hiring a Senior Data Engineer to build and operate the pipelines that turn real world financial information into reliable, queryable data. You will process unstructured documents like tax codes and white papers, semi structured documents like tax forms and insurance policies, and structured datasets like user information and asset values. Your work will support retrieval, knowledge graphs, agents, analytics, and machine learning. You will also own ingestion jobs from APIs to scheduled downloads, and maintain multiple collections in a vector database. As Monstro's first dedicated Data Engineer, you will shape the foundation of our data platform at a company where data is the product. We are a data-intensive fintech handling the most sensitive consumer and institutional financial data at global scale, which means your standards for consistency, security, and reliability will directly impact our ability to deliver trust and value to our users. You'll set the tone for how data is ingested, transformed, secured, and served across the company, with clear ownership and a seat at the table in defining the future of Monstro's architecture. If you like clear ownership, high standards, and shipping, this role is for you. About Monstro Monstro, headquartered in New York, is an innovative AI-enhanced fintech company redefining personal finance management through a global financial platform. Our platform offers individuals a comprehensive view of their entire financial, legal, and tax life, delivering actionable insights, tailored recommendations, and the ability to take direct action. For financial institutions, Monstro unlocks unparalleled access to personalized customer data and insights. Leveraging Monstro's data-driven approach allows institutions to maximize revenue, boost customer retention, and attract new clients while lowering acquisition costs. By efficiently servicing clients across all wealth tiers and providing direct, actionable solutions, Monstro is transforming the financial services landscape. We are democratizing access to high-quality financial advice, enabling institutions to optimize operations, empower their clients, and achieve measurable growth in an evolving digital economy. Responsibilities * Document and data processing * Build and own scalable pipelines that parse and normalize unstructured sources for retrieval, knowledge graphs, and agents. * Conceive and implement novel processes for processing thousands of types of unstructured documents with accuracy and consistency * Process semi structured sources into consistent, validated schemas. * Transform structured datasets for analytics, features, and retrieval workloads. * Vector database and retrieval * Create, version, and maintain multiple collections in a vector database. * Manage embeddings, metadata, and lifecycle, and tune chunking and filters for relevance and latency. * Ingestion, orchestration, and infrastructure • Design and implement robust multi-modal document processing systems that handle heterogeneous file formats (PDFs, images, HTML, XML) with automatic schema inference, content extraction validation, and graceful degradation for malformed inputs, maintaining 99.9% pipeline uptime SLA. Own ingestion from APIs, file drops, partner feeds, and scheduled jobs with monitoring, retries, and alerting. * Implement data quality checks for schema, ranges, and nulls, and document lineage and SLAs. * Own and harden the infrastructure that supports ETL pipelines, storage systems, and serving services. * Data platform engineering * Stand up and harden object, relational, document, and vector stores with the right indexing and partitioning. * Build reusable libraries and services for parsing, enrichment, and embedding generation. • "Design and implement robust multi-modal document processing systems that handle heterogeneous file formats (PDFs, images, HTML, XML) with automatic schema inference, content extraction validation, and graceful degradation for malformed inputs, maintaining 99.9% pipeline uptime SLA. Security, compliance, and governance * Handle sensitive financial and personal data with access controls, auditing, and retention policies. * Collaboration and impact * Partner with product and engineering to ship features that depend on reliable data. * Document standards, coach teammates, and contribute to future hiring. * Bonus * Create and maintain Model Context Protocol endpoints or similar interfaces for controlled database access. Qualifications • Experience, • Minimum 2 years in a dedicated Data Engineering role at an AI-native startup or 4+ years of experience in traditional Data Engineering, with ~8+ years of experience in Tech overall., • Proven ownership of end-to-end pipelines (ingestion → transformation → serving), including scalable sourcing processes, ETL pipelines, and serving services., • Experience owning and operating infrastructure in production environments., • Technical skills, • Strong Python and SQL., • Hands on document parsing and ETL across PDFs, HTML, JSON, and XML., • Experience operating vector databases such as pgvector, Pinecone, or Weaviate, with multiple collections., • Building and scheduling ingestion via APIs, web downloads, and cron or an orchestrator, plus cloud storage and queues., • Understanding of embeddings, chunking strategies, metadata design, and retrieval evaluation., • Solid data modeling, schema design, indexing, and performance tuning across storage types., • Quality and security, • History of implementing data quality checks, observability, and access controls for sensitive data., • Track record of delivering high-consistency systems for mission-critical data pipelines., • Soft skills, • Ownership mindset, clear written communication, and effective collaboration with product and engineering.Why Monstro?, • Ownership and Impact: As our first Data Engineer, you'll own the foundation of Monstro's data platform and set the standards for how we ingest, transform, and serve data at scale., • Data-First Mission: Join a company where data is the product, handling the most sensitive consumer and institutional financial information with precision and trust., • Collaborate with Experts: Work closely with an accomplished executive team that has a proven history of scaling successful startups to significant exits., • Scalability and Growth: Be part of a high-growth startup, with the chance to grow into a leadership position as the company scales., • Mission-Driven: Join a company focused on democratizing access to financial management and education for individuals and institutions globally.

Job Description🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our values. With hubs in the US, UK, Germany, Ireland, and Poland, we’re building the future of online marketplaces –together. From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone. And we’re just getting started! As one of the fastest growing marketplaces, we’re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce. 💻 Role The Buyer Growth team is responsible for driving Whatnot’s top-of-funnel growth and first-time buyer success. We're looking for a Machine Learning Engineer to accelerate buyer growth at Whatnot through intelligent, data-driven experiences. As the first ML engineer, you’ll build and own ML models personalization in onboarding and user targeting in our acquisition and engagement channels. This is a high-impact role on a team directly responsible for growing Whatnot’s buyer base and improving first-time user conversion. In this role, you will * Lead the design, development, and productionization of ML models that power user acquisition, activation, and retention (e.g., ranking models, targeting systems, uplift modeling). * Own the full model lifecycle: from data collection and feature engineering to model training, evaluation, deployment, and online experimentation. * Identify and prioritize high-impact opportunities where machine learning can unlock growth, collaborating with product, engineering, data, and marketing stakeholders. * Drive technical excellence and establish ML best practices across the Buyer Growth team. Team members in this role are required to be within commuting distance of our Los Angeles, San Francisco, Seattle, or New York hubs. 👋 You Curious about who thrives at Whatnot? We’ve found that low ego, a growth mindset, and leaning into action and high impact goes a long way here. * 8+ years of industry experience building and deploying ML systems at scale. * Demonstrated success in leading end-to-end ML projects that drove measurable business outcomes. * Deep expertise in personalization, ranking, or user modeling; strong intuition around user behavior in consumer products. * Advanced proficiency in Python, SQL, and common ML frameworks (e.g., PyTorch, TensorFlow, XGBoost). * Strong communication and leadership skills; ability to influence roadmap and align cross-functional teams. * Preferred Qualifications: * Experience building ML applications in E-commerce or Social products * Prior experience in growth domains: user segmentation, retention modeling, large scale recommendation systems, notification ranking, etc. 🎁 Benefits * Generous Holiday and Time off Policy * Health Insurance options including Medical, Dental, Vision * Work From Home Support * Home office setup allowance * Monthly allowance for cell phone and internet * Care benefits * Monthly allowance for wellness * Annual allowance towards Childcare * Lifetime benefit for family planning, such as adoption or fertility expenses * Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally * Monthly allowance to dogfood the app * All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!). * Parental Leave * 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. 💛 EOE Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce. Compensation Range: $235K - $270K

Job Description:\n\nBase Salary: $100,000 - $115,000 Location: Chicago / New York City / Dallas / RemoteCompany Overview Company Overview (Values) Teragonia (teragonia.com) is a fast-growing analytics and AI technology firm that equips mid-market companies with plug-and-play enterprise intelligence through our proprietary Astradis Operating System, a modular AI platform built to drive value creation across finance, operations, and revenue functions. Rooted in deep private equity experience and over $400B in M&A-backed insights, Teragonia helps CXOs and portfolio teams move faster, make better decisions, and deliver measurable performance improvements. Astradis provides real-time intelligence through a function-specific command center, combining structured and unstructured data via our Fibron AI layer. Our analytics engine powers diagnostic dashboards, forecasting models, pricing tools, and operations modules, enabling clients to transition from reactive reporting to predictive strategy. Teragonia's Value Creation & Analytics (VC&A) Department Summary Teragonia’s Value Creation & Analytics (VC&A) division bridges finance, consulting, and technology to support portfolio companies. We combine consulting rigor and AI to address complex challenges and enhance enterprise value through platform solutions and advisory. We prioritize professional growth through mentorship and cross-functional learning. Astradis provides real-time intelligence through a function-specific command center, combining structured and unstructured data via our Fibron AI layer. Our analytics engine powers diagnostic dashboards, forecasting models, pricing tools, and operations modules, enabling clients to transition from reactive reporting to predictive strategy. Our team combines the analytical rigor of management consulting with the technical depth of advanced analytics and AI, leveraging cutting-edge statistical models, optimization techniques, and machine learning to solve complex business challenges and generate transformative business value. We supplement our Astradis platform with value creation analytics engineering to help business leaders operationalize analytics-driven strategies, working closely with investment teams, operating partners, and management to embed analytics in strategic planning and tactical monitoring for timely course corrections. We champion the professional growth and development of our team members, offering focused education across our multidisciplinary structure and an expansive career development platform that promotes cross-learning within our unique blend of technologists, data scientists, and business experts who have first-hand private equity experience as investors, operators, and M&A advisors. We understand the importance of balancing professional advancement with personal pursuits, fostering a collaborative and forward-thinking environment that drives innovation while maintaining work-life integration. Job Summary We are looking for a talented Analytics Engineer to join our team as an Analyst. As an Analyst, you will work closely with our team of analytics engineers to design and develop advanced analytics solutions for our private equity-backed portfolio company clients. You will assist in understanding their business needs and developing tailored analytics solutions. Our Value Creation & Analytics practice is built around three primary circles: Technical Mastery (Astradis), Business Operations, and Client Success. Technical Mastery leverages our Astradis platform to centralize data and deliver actionable insights. Business Operations focuses on data-driven process optimization and performance monitoring to enhance operational efficiency. Client Success ensures value realization through proactive partnership, measurable ROI, and continual improvement. Core Responsibilities Technical Implementation and Value Creation • Design, develop, and optimize complex enterprise data models to solve operational and financial business problems • Build and maintain ELT processes while ensuring data quality and pipeline performance • Transform raw data into structured datasets using SQL and other data manipulation tools • Develop high-quality, visually appealing reports and dashboards that communicate complex analytics insights • Identify key performance indicators and analyze data to drive business improvements • Support data warehouses and cloud platforms while implementing data governance policies Client Engagement • Translate business needs into exploratory data analysis programs • Communicate technical concepts clearly to non-technical client executives • Develop and maintain professional relationships with clients and internal stakeholders • Present analytics findings in a manner that is accessible and actionable for senior executives • Participate actively in client meetings and contribute meaningfully to project deliverables Project Management • Work effectively in a fast-paced environment while managing multiple projects simultaneously • Prioritize tasks efficiently to meet project deadlines • Collaborate with cross-functional teams including data engineers, data scientists, and AI engineers • Contribute to process improvements that increase team efficiency and productivity • Stay current with industry trends and apply emerging best practices to client solutions Career Development Opportunities As an Analyst, you will be a key contributor to our platform deployment and value creation delivery, product and solution innovation, and practice development. You will have the opportunity, and the management support, to: • Develop specialized knowledge in data analytics, data science, and AI applications in a chosen industry or domain • Enhance your executive presence and communication skills • Contribute to thought leadership initiatives and strategic marketing efforts • Progress along a clear career path from Analyst to Associate, Manager / Lead, Principal, Director, and Managing Director • Receive mentorship and company-selected resources for leadership skill development • Support innovation initiatives and recruitment efforts Requirements Required • Bachelor's degree in Business Analytics, Computer Science, Information Systems, Industrial Engineering, or a related field with excellent academic performance from accredited universities • Demonstrated interest in learning how analytics insights drive business value • Advanced programming skills in SQL and Python • Experience in performing exploratory data analysis in a professional setting • Experience with data visualization tools such as Tableau or PowerBI • Strong analytical and problem-solving skills • Proficiency with Microsoft Suite, particularly Excel • Excellent communication and interpersonal skills • Legally authorized to work in Canada (Canadian citizenship, permanent residence, or valid work permit – Teragonia may sponsor visa applications for eligible candidates subject to applicable Canadian immigration laws and regulations) Preferred • Experience with cloud-based analytics platforms and data and analytics technologies such as Snowflake, Databricks, GCP, Airflow, DBT, FiveTran, GitHub, or highly relatable technologies • 2 years of experience in analytics engineering, data engineering, software engineering or a related field at global consulting firms, top financial services firms or high-growth startups • At least one relevant internship experience or up to 2 years experience in analytics engineering, data engineering, software engineering or a related field at global consulting firms, top financial services firms or high-growth startups • High business acumen and advanced understanding of connectivity between operational data and financial data (ERP to CRM to PoS to HRIS to P&L / trial balance / journal entries, etc.) • Experience with data modeling methodologies and concepts (e.g., Kimball Modeling, Data Vault, Data Mesh, etc.) • Certification in data science or analytics (e.g., Certified Analytics Professional) • Master's in Business Analytics, Computer Science, or similar advanced degree BenefitsCompetitive Total Compensation - We constantly benchmark our pay scales against the market to maintain competitiveness. Restricted Stock Awards - We offer restricted stock awards to select positions to ensure our teams’ long-term commitment and hard work are rewarded by sharing our collective success. Visa Sponsorship - We offer visa sponsorship for eligible employees. 401k Plan with Employer Contributions - We help secure your future with matching of 401k contributions up to 3.5% of your annual base salary, rising to 6% on the calendar year after your first work anniversary. Professional Development Opportunities - We will sponsor company-selected training sessions, conferences, and certifications to foster your growth. Meal Reimbursement - Reimbursement for lunch at the office, and dinner too if you are working past 7 pm, up to a limit. Gym Membership - Reimbursement for fitness & wellness programs, such as gym memberships, up to a limit. Commuter Benefits - We offer the opportunity to leverage the available tax concessions for commuting expenses. Relocation Assistance - Available to those who move to the Chicago, Dallas, New York City metropolitan area as required by their job role. Paid Time Off (PTO) - You will be eligible for 15 to 20 days PTO, depending on level, accrued according to company policies. Annual Quiet Week - From Dec 24 to Jan 2, we anticipate a quiet week. During this period, all employees may work remotely, and we put in our best effort to keep workload as light as possible in light of balancing business needs. Firm Holidays - 12 firm-designated holidays annually, in addition to the eligible PTO. Comprehensive Healthcare, Vision, and Dental Insurance - We prioritize your health and wellness with insurance coverage through leading national providers. Gynecology, fertility, and family-building benefits through leading providers. Paid Parental Leave of 12 weeks after 6 months of service with the company.Flexible Spending Account (FSA) / Health Savings Account (HSA) Plan - We provide the opportunity to manage your healthcare expenses efficiently through FSA/HSA plans. Mental Health Support - Enroll in our healthcare plan and gain access to mental health support through Talkspace. HealthAdvocate - Expert assistance to help you navigate the complexities of the healthcare system. Disability Insurance - We sponsor short term disability insurance through a leading national provider. Sick Days - We adhere to applicable state regulations, ensuring you have time to recover when you are not feeling well. Recruiting Process Our recruitment process is designed to ensure a thoughtful and comprehensive evaluation of candidates, as well as alignment with the team’s objectives and company values. The process typically involves the following stages: • Behavioral Interviews with Associates and Managers: Candidates participate in two interviews with hiring managers. These conversations focus on assessing the candidate’s alignment with the team’s goals and general suitability for the role. • Technical Interviews with Principals: Shortlisted candidates proceed to one or two in-depth technical interviews with senior technical leaders or principals. These sessions evaluate technical competencies, problem-solving abilities, and depth of expertise relevant to the position. • Final Interview with Founders: The final stage of the process is an interview with the company’s founders. This meeting provides an opportunity to discuss strategic alignment, vision, and long-term contribution to the organization. Throughout the process, candidates are encouraged to ask questions and engage in open dialogue. Flexible Work Policy We empower you to choose the work environment that best balances your personal needs with the business needs. We recognize that a remote location may allow you to better focus and balance your personal needs. We also believe brainstorming, planning, and team-building exercises are most effective in person and would expect you to be in the office, except when specific remote working arrangements are agreed due to personal situations. For candidates living in the Chicago, Dallas, or New York City metropolitan areas or within commutable distance, we expect your presence in the office based on business or team needs or team-building activities that are most productive in person. We do not impose specific days for in-office attendance. We will consider specific remote working arrangements for candidates living outside the Chicago, Dallas, or New York City metropolitan areas. We ask that you travel to our headquarters for important events, such as critical brainstorming and planning sessions, training, or team-building events. If we open an office near you in the future, the same flexible work policy would apply as for our employees living in cities with current Teragonia offices. For more junior applicants (less than 3 years of professional experience), we are looking for candidates living in, or willing to relocate to, within commutable distance of the Chicago, Dallas, or New York City metropolitan areas so that we can provide you with the support and mentorship as you grow in your career. If you are willing to relocate to the Chicago, Dallas, or New York City metropolitan areas, we will reimburse your reasonable relocation expenses. Diversity, Equity, and Inclusion Statement Teragonia strives for diversity and inclusion in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications of the individual and do not discriminate based upon race, religion, color, national origin, gender (including pregnancy or other medical conditions/needs), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any legally protected characteristic not otherwise covered here. We encourage all to apply.

Job Description Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. Are you a Machine Learning Engineer with expertise in Google Cloud Platform (GCP) and Vertex AI? We are looking for two talented professionals to join our team in a fully remote, onshore capacity. If you thrive in building and deploying scalable AI solutions, this role is for you! What You'll Do: • Collaborate with cross-functional teams to design and deploy ML models., • Develop reusable, scalable code for AI/ML applications., • Leverage GCP services to build end-to-end machine learning pipelines. Key Requirements: • Google Cloud Platform (GCP) Experience: Strong proficiency in GCP services, including data engineering and machine learning tools., • Google Vertex AI Expertise: Hands-on experience with model training, deployment, and optimization using Vertex AI., • Model Development & Deployment: Proven ability to design, build, and productionize machine learning models., • API Development: Skilled in developing robust APIs for seamless integrations., • Python Programming with CI/CD: Experience in Python-based applications and implementing CI/CD pipelines. Why Join Us? • Work remotely while contributing to cutting-edge projects., • Collaborate with a dynamic team passionate about AI/ML innovation., • Opportunity to work with the latest Google Cloud technologies. Ready to take the next step? Apply now and be part of a team that’s shaping the future of AI! Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Job Description Who We Are At Moxxi, we're redefining performance marketing with cutting-edge technology and a relentless focus on results. As a profitable, bootstrapped start-up, we are led by a team of industry veterans in performance marketing, ad tech, and digital publishing. Together, we're building the premier platform to incubate, scale, and optimize digitally born businesses, setting new standards for data-driven success. Our entrepreneurial team brings proven experience from both global corporations and fast-growing startups. We're passionate about delivering scalable, profitable outcomes for our partners through advanced profiling, targeting, and continuous optimization. Joining Moxxi means becoming part of a growing start-up in the heart of NYC, where you'll have the opportunity to accelerate your career, expand your skill set, and shape the future of performance marketing. The Role: As a Staff Software Engineer at Moxxi, you'll be a key driver in scaling our performance marketing platform and shaping the long-term technical vision of our ad delivery and optimization systems. You will lead complex initiatives across multiple domains from building resilient backend infrastructure and intelligent APIs to integrating ML driven campaign systems and rethinking marketer tooling. Operating as a senior individual contributor, you'll partner with cross-functional stakeholders, mentor other engineers, and make architecture decisions that define the future of Moxxi's core platform. You'll help us evolve our Ads infrastructure to support real-time personalization, performance tuning at scale, and rich experimentation frameworks. This role is ideal for engineers who enjoy solving deep technical challenges with direct business impact, who can bring clarity to ambiguity, and who are passionate about growing both systems and people. Responsibilities: • Architect, develop and maintain scalable and resilient backend systems powering our CMS, AdServer, CMS, CRM, and optimization pipelines., • Build reusable UI components and responsive interfaces that allow marketers to manage, launch, and analyze campaigns with ease., • Build high-performance APIs and services that integrate with internal platforms and external ad ecosystems., • Partner with the Account Managers and Operations team to productionize models that drive ad personalization, budget pacing, and bid optimization., • Design and evolve real-time and batch data pipelines that support campaign analytics, attribution, and experimentation at scale., • Lead cross-functional collaboration with product, design, and business teams to translate requirements into robust software solutions., • Ensure system observability, operational excellence, and uptime across critical infrastructure components., • Mentor junior engineers and contribute to a culture of clean, maintainable, and well-documented code., • Drive technical planning and contribute to the evolution of our platform strategy and long-term architectural vision., • Stay up to date with industry trends in advertising technology, distributed systems, and machine learning and bring relevant innovations into the team., • Take ownership of major initiatives and continuously identify opportunities to improve performance, scalability, and developer experience.Basic Qualifications, • 10+ years of professional experience designing and delivering production-grade software systems., • Proven success architecting distributed systems and backend services in high-scale environments., • Strong fluency in Go (Golang) and experience building services using microservice architectures., • Deep knowledge of APIs, cloud-native infrastructure (e.g. GCP, BigQuery, Cloud Run), and data engineering patterns., • Hands-on experience with real-time systems, streaming data (e.g. Pub/Sub, Kafka), and event-based architectures., • Passion for performance marketing, experimentation frameworks, and measurable impact., • Outstanding communication skills, including the ability to influence stakeholders and lead through ambiguity., • Experience in the AdTech ecosystem (e.g., RTB systems, campaign management, creative tooling)., • Prior ownership of infrastructure at scale, including observability, cost optimization, and compliance (e.g. GDPR, CCPA)., • Knowledge of caching systems (Redis, Memcached), Infrastructure as Code (Terraform), and container orchestration (Docker, Kubernetes)., • Exposure to non-relational databases (e.g., BigTable, DynamoDB) and caching systems such as Redis or Memcached.Nice to Have / Bonus Qualifications, • Master's degree in Computer Science, Engineering, or a related technical field., • Familiarity with Ads infrastructure standards, • Proficiency in TypeScript, with experience in frontend frameworks such as React or Angular, and building APIs or server-side logic with TypeScript (e.g., Node.js)., • Prior work on cost optimization, performance tuning, or infrastructure efficiency at scale., • Familiarity with AI/ML-powered ad optimizations, A/B testing frameworks, or campaign experimentation systems., • Demonstrated impact as a Staff, Principal, or Area Tech Lead in a fast-paced, product-focused company.Moxxi Values & Competencies, • Self-Starter – You take initiative and solve problems before they become problems., • Curious & Analytical – You ask why, dig deep into data, and experiment to learn what works., • Efficiency-Oriented – Fast, focused, and action-driven., • Relationship-Focused – You build trust and deliver value., • Organized Multitasker – You thrive in fast-paced, high-velocity environments., • Strategic Communicator – You translate performance into insight and insight into action.Salary Range$195,000—$270,000 USD