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As a Machine Learning Engineer on Clair’s Data team, you will be responsible for transforming diverse financial data sources, including but not limited to Plaid transactions, into production-grade features, predictive signals, and modeling pipelines that power Clair’s credit and underwriting sys

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.

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems.We want AI to be safe and beneficial for our users and for society as a whole.Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build b

The AI Engineer, Investment Services will be responsible for exploring opportunities to develop and build potential solutions that leverage GenAI and Machine Learning in an effort to deliver innovative, GenAI driven products that seek to enhance the firm's business processes and enterprise intellig

Senior Software Engineer, Machine Learning.Current is a leading consumer fintech platform transforming financial access for everyday Americans with over 5 million members.We provide access to financial solutions that seamlessly work together to solve the needs of our members and enable all Americans

A degree (preferably graduate level) in Computer Science, Engineering, Statistics, Physics, Applied Math or a related technical field.

Job Description We are on the lookout for an innovative and driven AI Engineer. In this role, you will be responsible for designing, developing, and deploying AI models that will enhance our products and improve our services. Requirements • Bachelor's or Master's degree in Computer Science, Data Science, or a related field., • 5+ years of experience in AI/ML development., • Strong proficiency in Python, R, or Java., • Experience with machine learning libraries such as TensorFlow, Keras, or Scikit-learn., • Familiarity with data processing tools (e.g., Pandas, NumPy)., • Knowledge of AI model deployment and cloud services (AWS, Google Cloud, Azure)., • Solid understanding of algorithms and data structures., • Excellent analytical skills and problem-solving capability. About Us We specialize in Digital, ERP, and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic, and flexible solutions will help you source the IT Expertise you need. If you are looking for new opportunities, send your profile at . Also follow our LinkedIn page for new job opportunities and more. Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We encourage applications from a diverse array of backgrounds, including individuals of various ethnicities, cultures, and linguistic backgrounds, as well as those with disabilities.

Job Description Basic Qualifications: • Knowledge of different compilation steps (and ability to fix) in languages such as Go, C, C++, or Java., • Excellent communication skills and the ability to collaborate effectively with cross-functional teams, • Ability to mentor and grow a group of other Software Engineers, • Ability to lead projects with several cross-org dependencies and design complexities, • Large-scale training using data structures and algorithms, • Modern machine learning algorithms (e.g., tree-based techniques, supervised, deep, or probabilistic learning) Preferred Qualifications • PhD or equivalent in Computer Science, Engineering, Mathematics or related field, • 8+ years of experience in professional software development experience, developing and deploying systems in production environments, • Machine Learning Software such as Tensorflow/Pytorch, Caffe, Scikit-Learn, or Spark MLLib, • Excellent communication skills and the ability to collaborate effectively with cross-functional teams, • Ability to mentor and grow a group of other Software Engineers, • Anomaly Detection Techniques, • Deep Learning, • Scalable ML architecture, • Feature management, • Causal ML, • Reinforcement learning Anticipated base 250-280k + bonus + equity and comprehensive benefits

About Alaffia & Our Mission Each year, the U.S. healthcare system suffers from over $500B in wasted spending due to medical billing fraud, waste, and administrative burden. At Alaffia, we’re committed to changing that paradigm. We’ve assembled a team of clinicians, AI engineers, and product experts to build advanced AI solutions that will directly bend the cost curve for all patients across the healthcare ecosystem. Collectively, we’re building best-in-class AI software to provide our customers with co-pilot tools, AI agents, and other cutting-edge solutions to reduce administrative burden and reduce healthcare costs. We’re a high-growth, venture-backed startup based in NYC and are actively scaling our company. About the Role & What You’ll Be Doing Alaffia is a healthcare AI startup revolutionizing health and data automation. Our AI-driven platform leverages state-of-the-art generative AI and machine learning technologies to enhance accuracy, efficiency, and compliance in medical billing and auditing. As we scale, we are seeking a Senior ML Ops Engineer to build the cutting-edge AI solutions, drive innovation, and shape the future of healthcare automation. At Alaffia, AI is at the core of our mission. We are seeking an experienced engineer who is passionate about deploying scalable, safe, and regulatory-compliant AI-driven systems. Our AI technology powers intelligent automation for medical billing, ensuring accuracy and operational efficiency. We seek someone who thrives on building large-scale AI systems that enhance workflow efficiency, while also prioritizing all the necessary safety guardrails for responsible AI. You will have the opportunity to orchestrate various AI agents with an optimized system design that integrates AI platforms, data storage, and human-in-the-loop feedback. In this role, you’ll be shaping the future of AI-driven healthcare automation while tackling some of the most significant challenges in AI deployment and monitoring. Your Responsibilities • Deploy NLP, OCR, and multi-modal AI products on secure cloud environments., • Design AI system, focusing on pipeline architecture and tooling to ensure scalability, observability, performance, latency and fault tolerance requirements, • Design data schema and develop ETL processes to integrate data and human annotation with AI model tuning and benchmarking pipelines., • Create best practices for data and AI experiment management, • Write highly robust, scalable code that is flexible, reusable, and adaptable to evolving requirements., • Ensure high code quality through rigorous code review processes and foster a collaborative engineering culture., • Build and leverage AI tools to improve developer efficiency and alignment across teams., • Proactively identify, resolve, and mitigate technical risks before deployments and releases. What We’re Looking For: • 8+ years of technical experience, with at least 4+ years in a dedicated software engineering role, • Strong background in data modeling, versioning, and storage for AI data and annotation, • Recent development experience of scalable enterprise AI products, • Proficient in multiple AI frameworks, for example, MLFLow, LangChain, LangFuse, CrewAI, Weights & Bias, • Firm understanding of AI software development and quality assurance procedures, • Working knowledge and design skills across a wide array of databases, • Experience with AI experiment tracking, monitoring, and comparison, • Demonstrated ability to stay up to date with the latest AI methodologies and systems., • Exceptional problem-solving skills and the ability to work in a fast-paced, evolving environment., • Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to non-technical stakeholders. Our Culture At Alaffia, we fundamentally believe that the whole is more valuable than the sum of its individual parts. Further to that point, we believe a diverse team of individuals with various backgrounds, ideologies, and types of training generates the most value. Our people are entrepreneurial by nature, problem solvers, and are passionate about what they do — both inside and outside of the office. What Else Do You Get Working With Us? • Competitive compensation package (cash + equity), • Medical, Dental and Vision benefits, • Flexible, paid vacation policy, • Work in a flat organizational structure — direct access to Leadership

Job Description Continua has launched an AI agent that users can invite into group conversations to make planning, coordination, and information retrieval effortless. Funded by Google and Bessemer Venture Partners, Continua is developing the future of socially-intelligent AI. 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 in Seattle, WA or New York, NY. We are onsite 3+ days per week. 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 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. * Optimize infrastructure for performance, scalability, and reliability. * Ensure rigorous testing, validation, and continuous improvement of deployed models. 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 in Python. * Know how to work independently to handle ambiguity. * Excited about the opportunity to tackle impossible problems. 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, PayPal, 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 Sourgum is transforming the $100B+ waste and recycling industry through cutting-edge technology that makes waste removal simpler, smarter, and more cost-effective. Our innovative haulsourcing platform powers high-quality waste and recycling services for businesses at significantly lower costs—saving our customers an average of 20%. Leveraging proprietary datasets, an advanced operating system, and a carefully curated network of 5,000+ trusted vendors, we help companies of all shapes and sizes streamline their operations while advancing sustainability efforts. We’re a fast-growing, venture-backed company (just closed our Series A!) on a mission to modernize an outdated industry — and we’re just getting started. Our investors include Spark Capital, Founder Collective, Suffolk Technologies, 186 Ventures, and River Park Ventures, the same funds that backed category-defining companies like Slack, Anthropic, Uber, Venmo, and Amazon Pharmacy. If you’re driven by the opportunity to build something groundbreaking, we’d love to meet you. As an experienced engineer, you will help build our core SaaS platform by working with a small but rapidly growing team to develop, maintain, and deliver this innovative platform. Guided by the roadmap, you will ensure on-time, on-budget software delivery and help grow and mentor our team. Your experience will include recent experience architecting solutions using Typescript/Node or Go microservices. Key Responsibilities * The delivery of architecture, design, and implementation of cloud SaaS solutions based on business requirements * Development and maintenance of the software platform. Align the results with the requirements of the appropriate stakeholders * As a Senior Software Engineer, you will play a crucial role in our team, working closely with the head of engineering and product managers, business unit leaders, and stakeholders. Your responsibilities will include managing engineering, determining team resourcing, and demonstrating your leadership skills and ability to work collaboratively. * As a Senior Software Engineer, you will be a key stakeholder in our product engineering. Your contribution will be instrumental in the success of our software solutions, as you will translate business requirements into technical specifications for our engineering team to design and implement. Requirements Technical Skills * 9+ years of hands-on in professional software development * 9+ years of experience working with relational databases (MySQL, PostgreSQL, Aurora, etc.) * Strong understanding of data structures, indexing, and searching required * Ability to integrate with Elasticsearch and run queries/reports * 3+ years of experience building microservices * 3+ years’ experience working with AWS-based services including S3, SQS, SNS, DynamoDB, Lambda, Redshift * Experience with Kafka and other technologies * Can apply principles of Test-Driven Development * Experience with writing test cases * Able to write build scripts * Experience with Kubernetes and Terraform * Experience with version control systems, CI/CD pipeline tools, workflow tools, Jenkins, etc. * Experience integrating applications with Redis/Memcached a plus Nice to Have Skills * Experience with Flutter * Development of mobile and tablet devices * AI/Machine Learning experience a plus * Experience with Big Query and Metabase * Experience developing Vertical SaaS ERP Software Personal Skills * A passion for building software and streamlining process issues * Demonstrate tenacity when solving challenging problems in a deadline-driven environment * Experience with Scrum/Agile Methodologies * Ability to lead a team, as well as a roll-up-the-sleeves mentality to work well as part of a team * Able to be self-motivated and work independently as needed to solve complex problems * Taking pride in work and desire to make projects succeed Benefits * Company stock options as part of your compensation package, giving you the opportunity to share in our company's success and build long-term financial growth. * A positive and collaborative work environment with a focus on innovation and sustainability. * Comprehensive benefits package including health insurance (medical, dental, vision, LTD, Life Insurance, etc.), retirement plans (401K), and paid time off. * Access to hundreds of gyms, studios, and wellness apps—all through one easy membership provided by your Wellhub. * yearly Personal Development Budget * Opportunities for professional development and career advancement within a growing company. Compensation Range: $170K - $210K

Job DescriptionIf this role is still posted then we are still recruiting and needing applications.& Position:& Full Stack EngineerSalary Range: $130,000 - $195,000, depending on experienceExperience Required: 6+ yearsJob Location: Arlington, VAModality: On-Site only. & & & & & & & & & Must live within commuting distance of Arlington, VA. or be willing to relocate. & & & & & & & & & Relocation is required but not required prior to starting.Relocation Assistance: YesUS Citizenship Required: Yes About the Role: Our client is hiring a Full Stack Engineer who loves building products from start to finish. You will shape features, architect scalable systems, and bring clarity to complex problems through thoughtful design and clean code. This is a hands-on role where your ideas and ownership will directly shape the product. We are looking for someone who thrives in a fast-paced environment, values collaboration, and enjoys solving problems that have not been solved before. What You Will Do • & & Own projects from concept to launch, including design, architecture, and implementation., • & & Work across the entire stack, from building APIs to developing intuitive frontends and component libraries., • & & Design system architecture that scales and supports product growth., • & & Build tools and visualizations that make complex data easy to understand., • & & Write reliable, maintainable, and well tested code using TypeScript, JavaScript, React, and Node.js., • & & Collaborate with teammates and users to understand workflows and deliver impactful solutions., • & & Take initiative, share feedback, and help define technical direction. Requirements • & & 6+ years of experience as a full stack engineer, preferably in a startup or high growth environment., • & & Strong knowledge of TypeScript, JavaScript, React, and Node.js., • & & Proven frontend development experience., • & & Experience with system design, architecture, and software best practices., • & & The ability to think critically about tradeoffs and build for long term maintainability., • & & Clear communication skills and a collaborative approach to teamwork., • & & A positive, low ego attitude focused on shared success. Nice to Haves • & & Experience working at large scale technology companies such as AWS, Capital One, or similar., • & & Background in building AI or machine learning enabled products., • & & Experience developing internal tools or platforms that empower other engineers. Additional Expectations • & & US Citizenship is required due to U.S. Department of Defense contracts.

Job Description At TWG Group Holdings, LLC (“TWG Global”), we drive innovation and business transformation across a range of industries—including financial services, insurance, technology, media, and sports—by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role We are seeking a highly experienced Senior Palantir Foundry Engineer to join our growing data science and engineering team. In this role, you will design, build, and deploy robust data pipelines, custom logic, and machine learning workflows using Palantir Foundry. You’ll play a key role in leveraging Foundry’s full stack—data integration, transformation, ontology modeling, and application development—to solve high-impact business problems across multiple industries. Key Responsibilities: • Design and implement end-to-end data pipelines and transformation logic within Palantir Foundry., • Develop and deploy machine learning models using Python and Foundry's model deployment tools., • Build custom applications and workflows within Foundry using TypeScript and other supported languages., • Integrate complex data sources into Foundry and ensure high-performance, scalable pipelines., • Model objects and relationships using Foundry's Ontology framework, with careful attention to access control and security., • Collaborate with cross-functional teams (data scientists, product managers, analysts) to identify requirements and deliver impactful solutions., • Apply machine learning best practices, including feature engineering, model validation, and performance tuning. Qualifications: • 4+ years of hands-on experience with Palantir Foundry, including pipeline development, data transformation, and ML deployment., • Strong proficiency in Python for data manipulation, scripting, and model development., • Proficient in TypeScript, with experience developing and deploying custom Foundry applications., • Deep understanding of ML fundamentals, including supervised/unsupervised learning, classification, regression, clustering, feature selection, and model evaluation., • Experience with Foundry’s data integration, pipeline orchestration, and security models., • Familiarity with Foundry’s ontology and permissioning structure., • Proficiency in Git and collaborative software development practices., • Experience working in regulated environments (e.g., finance, healthcare, government)., • Exposure to large-scale production ML systems. Position Location This position is preferred to be located in Santa Monica, CA, or New York, NY. Remote candidates will be considered on a case-by-case basis. Compensation The base pay for this position is $160,000-$190,000. A bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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 DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. As a Software Engineer at Radical, you’ll design and build core infrastructure that underpins how software interacts with our autonomous labs. You’ll own foundational components such as orchestration layers, telemetry pipelines, fault recovery systems, and data layers. Your code will run in close proximity to real-world instruments—executing experiments, managing state, and ensuring safe and deterministic behavior in our hardware stack. We work in a deeply technical domain—robotics, ML, and experimental automation—and your software will directly control and monitor systems in the real world. You’re a systems-minded engineer who thrives in environments where the boundary between software and hardware is thin. You’ve built software that runs close to the metal and you think about how systems fail just as much as how they succeed. You may not have done all of the following, but the prospect of learning and owning these technologies excites you:About You • Strong systems programming experience in Python, Go, Rust, or C++. You’ve written real-world state machines, gRPC or protobuf-based APIs, and low-latency services., • Deep familiarity with concurrent and asynchronous programming, including event loops, cancellation semantics, bounded queues, and task orchestration under failure modes. You know how to handle timeouts, retries, and device-level race conditions., • You’ve designed device orchestration layers that can execute long-running procedures, monitor device health, and stream telemetry. You know how to propagate failure states and build for partial availability., • You’ve built and debugged protocol-aware interfaces for serial, TCP, USB, I²C, or similar buses. You understand framing, handshake patterns, and flow control when dealing with instruments or embedded systems., • You’ve worked on telemetry pipelines using structured logs and time-series data, built systems for ingesting and querying device state, and understand the differences between high-frequency signal capture vs sparse control logs., • Experience designing and operating fault-tolerant distributed systems, where retries, idempotency, dead-letter queues, and safe rollback are all table stakes., • You think about observability by default—instrumenting code with structured logs, metrics, traces, and ensuring diagnostics can be surfaced without modifying code post-deployment., • Familiarity with Kubernetes and containerization., • You’ve built for on-prem, reproducible deployment, and understand the challenges of deploying to a real lab where hardware, software, and network conditions are rarely ideal.Pluses, • Experience with embedded protocols (e.g., serial, I²C, Modbus), device virtualization, or microcontroller firmware., • Experience building or contributing to hardware simulation environments, mocking hardware APIs, and running integration tests with virtual devices. You understand the value of simulation not just for testing, but for CI and parallel development., • Contributions to systems for robotics, automation, or manufacturing infrastructure., • Frontend engineering experience with Svelte, React, or similar frameworks. You’ve built responsive, real-time interfaces and care about state management, testing, and usability. You’ve worked with structured APIs and understand browser performance implications., • Comfort designing reproducible and testable systems for devices that don’t always behave perfectly.What we offer, • A competitive compensation package also includes the best in benefits:, • Medical, dental, and vision insurance for you and your family, • Mental health and wellness support, • Unlimited PTO and 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran 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. 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 DescriptionAbout Us:Live experiences help people cross today's digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that's bringing us together. To fulfill Gametime's mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.The Role: The Machine Learning team is responsible for designing, developing, and deploying cutting-edge AI/ML solutions, owning the full lifecycle from ideation to production. In this role, you will work closely with the ML Platform and Data Science teams to maximize the impact of ML across every area of the business. This is an opportunity to join a growing team and help shape its future direction. Key Responsibilities: • Designing & Implementing AI/ML Solutions: Lead the design and implementation of robust, scalable, and high-performance machine learning applications that power critical user experiences and business operations., • End-to-End Ownership: Take ownership of the full machine learning lifecycle for various applications, working closely with data scientists, product managers, and backend engineers to define problems, develop solutions, and measure impact., • Driving Business Impact: Identify opportunities to apply machine learning to solve complex business challenges, directly contributing to key metrics such as user engagement, conversion, and overall revenue., • Leveraging & Contributing to ML Platform: Partner with the Machine Learning Platform team to utilize existing infrastructure and provide critical feedback and requirements to shape the platform's future direction., • Setting Technical Standards: Champion best practices for MLOps, code quality, testing, and deployment, ensuring the reliability and maintainability of our ML application stack., • Evangelize ML throughout the organization: Communicate results and methodology effectively within the team and to external stakeholdersKey Competencies:Technical Skills:, • Proven experience in the end-to-end development and deployment of machine learning solutions, including successfully transitioning models to production environments., • Strong programming proficiency, particularly in Python and SQL, coupled with a solid understanding of software engineering best practices and principles as applied to machine learning system development., • Experience with cloud platforms such as AWS, Azure, or GCP, and familiarity with MLOps practices., • Hands-on experience with key machine learning frameworks and libraries (e.g., PyTorch, Scikit-Learn, XGBoost) and expertise in relevant AI subfields such as Deep Learning, Natural Language Processing (NLP), and Computer Vision, • Familiarity with Large Language Models (LLMs) and other advanced AI tools, including potential applications of AI agents, and a strong interest in staying updated on the latest developments in the field.Interpersonal Skills:, • Ability to collaborate effectively across teams and communicate with key stakeholdersProblem-Solving and Decision-Making:, • A proactive self-starter with a strong ability to learn quickly and work independently, demonstrating the desire and readiness to manage an increasing level of responsibilityMinimum Qualifications:, • Experience: 5+ years of industry experiencePreferred Qualifications: Business impact (NARPAU, GMV, Revenue) What We can Offer: • Flexible PTO, • Competitive salary & equity package, • Monthly Gametime credits for any event ($1,200/yr), • Medical, dental, & vision insurance, • Life insurance and disability benefits, • Diverse Family-forming benefits through Carrot Fertility, • 401k, HSA, pre-tax savings programs, • Company off-sites and meet-ups, • Wellness programs, • Tenure recognition At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including skills/capabilities, experience, and available budget. United States - Pay Range$195,000—$230,000 USD Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.

Job Description The Financial Crime Data Scientist combines investigative expertise with advanced data science techniques to identify, assess, and mitigate financial risks, fraud, and emerging cyber-enabled threats. This role will analyze transactional, behavioral, and device-level signals; detect indicators of compromise; identify anomalous activity; and support intelligence integration into Appgate’s Fraud security products. The analyst will collaborate closely with internal product teams and other external intelligence sources to track financial crime patterns (e.g., ransomware operators, malware families, account takeover trends, money mule networks) and translate insights into predictive models, detection rules, and automated workflows. This candidate bridges fraud investigation, data analysis, and technical implementation while working cross-functionally with Product, Engineering, Risk, Marketing, and Operations. Responsibilities Fraud & Threat Intelligence • Conduct in-depth investigations into financial crime activity, including transaction fraud, account compromise, synthetic identity, malware-enabled fraud, and ransomware monetization patterns., • Monitor intelligence feeds for emerging threat actors, TTPs, botnet activity, phishing kits, malware variants, and monetization schemes., • Collect, clean, engineer, and analyze large datasets using Python, SQL, and cloud-based data platforms., • Perform statistical analysis, clustering, anomaly detection, and supervised/unsupervised machine learning to improve predictive fraud scoring., • Build and maintain analytical data pipelines with engineers using tools such as Airflow, dbt, Spark, or similar., • Automate data ingestion (APIs, logs, intelligence feeds, enrichment sources) for ongoing fraud monitoring., • Translate fraud intelligence into actionable requirements for product and engineering teams (e.g., detection rules, model features, new risk signals)., • Collaborate with marketing and customer-facing teams to prepare intelligence briefs, threat summaries, and fraud trend reports., • Maintain strict confidentiality and follow handling protocols for sensitive data, PII, and regulated financial information., • Stay current on fraud trends, sanctions, AML regulations, and industry standards. Required Qualifications • Bachelors/Masters degree in Data Science, Applied Statistics, Digital Forensics, Financial Engineering, Criminology, Computer Science, Cybersecurity, or relevant field; or equivalent experience., • 1–3+ years in fraud detection, threat intelligence, financial crime investigations, cyber threat analysis, or risk operations., • Strong proficiency in:, • SQL for data extraction and manipulation, • Python (pandas, NumPy, scikit-learn) for data analysis, • Data visualization tools (Tableau, Power BI, Looker, etc.), • Familiarity with machine learning concepts, anomaly detection, statistics, and predictive modeling., • Experience with fraud platforms, case management systems, device intelligence, or behavioral analytics systems., • Demonstrated investigative mindset with excellent documentation and communication skills. Preferred / Nice-to-Have Technical Skills • Experience with big data technologies (Spark, Databricks, Snowflake)., • Knowledge of fraud-specific data sources: device fingerprinting, behavioral biometrics, geolocation, IP intelligence, OSINT, malware intel feeds., • Familiarity with malware families, attack chains, and cyber threat intelligence frameworks such as MITRE ATT&CK., • Exposure to API-based integrations, data enrichment pipelines, and log analysis., • Understanding of risk scoring systems, rules engines, or real-time decisioning platforms., • Experience with AML, KYC, BSA, sanctions screening, or cryptocurrency tracing tools. Key Competencies • Analytical and critical thinking, • Statistical and machine learning literacy, • Effective communication and storytelling with data, • Investigative rigor and attention to detail, • Cross-functional collaboration, • Integrity and confidentiality, • Strong problem-solving and decision-making skills Appgate is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. In furtherance of Appgate’s policy regarding affirmative action and equal employment opportunity, Appgate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company’s EEO Coordinator.

Job Description Job Title: Machine Learning Engineer (Level II) Location: Remote Start Date: ASAP Foam, part of Whalar Group, is the operating system for managing digital talent. Foam is a suite of intuitive pitching tools and AI-enhanced features powered by real-time, certified metrics from Instagram, TikTok, YouTube, and Snap. Foam empowers managers with the data they need to analyze content performance, inform talent negotiations, and maximize brand opportunities. With over 40,000 Creators and hundreds of millions of integrated data points, Foam streamlines the entire pitching process, eliminating spreadsheets, screenshots, and slides, allowing managers to focus on providing strategic support to their talent. Learn more at foam.io. About the role: We're looking for a Machine Learning Engineer (Level 2) to join our growing ML Engineering team and lead the development of advanced AI systems that power our platform. You'll design and deploy the core intelligence behind our products, with a focus on building autonomous, stateful AI agents capable of reasoning, learning, and acting in dynamic environments. In this role, you'll bridge the gap between research and production, architecting, training, and scaling systems that turn cutting-edge ideas into reliable, production-ready tools. You'll collaborate with engineering, data, and product teams to create cohesive, high-performance ML ecosystems across multimodal search, forecasting, and video understanding. If you're passionate about pushing the boundaries of applied AI, designing intelligent systems that think and evolve, this is an opportunity to have real impact. Here's what you'll do day-to-day: • Design and deploy autonomous AI agents, including reasoning loops, memory layers, and orchestration pipelines., • Build observability and evaluation systems to monitor reasoning, token usage, and model performance, ensuring reliable production behavior., • Lead the development of multimodal ML pipelines for semantic search, RAG, recommendation systems, and vector search across text, image, and video data., • Engineer high-throughput time-series analytics and forecasting models that connect batch OLAP queries with real-time inference., • Develop and maintain scalable asynchronous APIs and containerized services, ensuring reliability, monitoring, and performance optimization., • Partner with product and engineering teams to translate business goals into measurable ML outcomes., • Drive research-to-production pipelines for experimental AI projects and evaluate emerging technologies to advance our platform.Here's what we're looking for:, • 2+ years of experience in machine learning engineering, building production-grade ML systems., • Hands-on experience with agentic AI frameworks (e.g., LangGraph, LlamaIndex, Zep, Mem0, Langfuse, LangSmith)., • Experience building RAG pipelines, recommendation systems, and/or vector search applications (e.g., Pinecone, Vespa, PostgreSQL + pgvector)., • Strong background in time-series modeling, anomaly detection, and large-scale data analysis (e.g., Clickhouse)., • Skilled in asynchronous API design, containerization, and modern CI/CD workflows (FastAPI, Docker, Kubernetes, GitHub/Bitbucket)., • Excellent EDA skills with the ability to translate data insights into production-ready ML solutions., • Comfortable working with LLM ambiguity, designing systems that fail gracefully and learn continuously., • Proactive, independent, and curious—able to own complex features end-to-end and raise the technical bar for the team., • Strong communication skills—able to explain trade-offs between AI approaches and align technical metrics to business goals., • Medical, Dental, Vision, • 25 days of PTO + Sick days + Winter break, • Retirement planning with employer match, • Monthly phone/internet reimbursement, • Professional development stipend, • New joiner Home office allowance, • Fertility benefits, • Up to 16 weeks of paid parental leave, • Volunteer days, • Identity theft protection & Legal assistance, • Company Paid Life & Disability Insurance, • Extra Voluntary Life Insurance Policy, • Voluntary Hospital and Critical Illness Insurance, • Voluntary Pet insurance

Job DescriptionSenior Systems Engineer /Core Infrastructure, VMware *US Citizens or GC Holders *On-site daily in Jersey City, NJ Position Overview We are seeking a highly skilled and experienced Senior Systems Engineer to join our IT Infrastructure team. This role focuses on the design, implementation, management, and optimization of core infrastructure systems with a specialization in VMware and related technologies. The Senior Systems Engineer will play a key role in ensuring the stability, scalability, and security of the organization’s IT infrastructure. Key Responsibilities • Core Infrastructure Management, • Design, deploy, and manage enterprise infrastructure, including servers, storage, and networking components., • Monitor system performance, troubleshoot issues, and implement improvements to ensure high availability and reliability., • Lead infrastructure-related projects, including upgrades, migrations, and system integrations., • VMware Administration, • Architect, implement, and maintain VMware vSphere environments, including ESXi hosts and vCenter servers., • Optimize virtual infrastructure for performance, scalability, and cost-effectiveness., • Manage virtual machine provisioning, snapshots, and backups., • Configuration Management, • Develop and maintain scripts (PowerShell, PowerCLI, Python, etc.) for system automation and process improvements., • Automate repetitive tasks, enhance monitoring capabilities, and ensure system configurations adhere to best practices., • Implement and maintain security measures to protect core infrastructure systems., • Ensure compliance with organizational policies, industry standards, and regulatory requirements., • Collaboration and Leadership, • Work closely with cross-functional teams, including network engineers, database administrators, and application developers., • Mentor junior team members and provide technical leadership. Core Systems and Infrastructure: • Windows Servers: Configuration, management, and performance tuning, • Active Directory (AD): Management of users, groups, and roles, • Group Policy (GPO): Administration and customization, • DNS and DHCP: Configuration and troubleshooting, • Public Key Infrastructure (PKI): Implementation and management, • VMware vSphere, ESXi, and vCenter, • Backup and replication tools: Veeam, Rubrik, Zerto, CommVault, • High-availability design, clustering, and disaster recovery (D.R.) solutions, • SAN, NAS, and Storage Spaces Direct, • Familiarity with NetApp, Dell EMC, and HPE storage solutions, • Tools: SolarWinds, SCOM, PRTG, • Synthetic transactions and real-time alerting, • Performance tuning for Windows servers and virtual environments, • Root cause analysis for recurring performance issues Qualifications • Education: Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience)., • Experience: Minimum of 7 years of experience in IT infrastructure engineering, with at least 5 years focused on VMware technologies., • Certifications:, • VMware certifications (e.g., VCP, VCAP, or VCDX) are strongly preferred., • Excellent problem-solving and analytical abilities., • Strong communication skills, both written and verbal., • Ability to work independently and collaboratively in a fast-paced environment., • Commitment to continuous learning and professional development.

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 seeking Senior Software Engineers to design and develop next-generation technologies and complex features that transform the way millions of users explore, interact with, and participate in live events worldwide. As a Senior Software Engineer, you will be an integral part of developing the team's commercial and product strategy. You will be expected to be equally focused on user needs and to exercise sound commercial judgment (not just technical judgment). Our Senior Software Engineers are essential to our company's success, so they must demonstrate initiative and enthusiasm in solving the problems they encounter. StubHub is committed to being a phenomenal and inclusive workplace. We expect you to also serve as an advocate and mentor for your team members, demonstrating leadership qualities and setting an example for those around you. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Santa Monica, CA or Aliso Viejo, CAAbout the Team:Supply team's mission is to simplify the lives of our large-ticket sellers, ensuring they can easily onboard and manage their ticket inventory throughout the event. The goal of the larger Supply organization is to help sellers reduce their management costs and maximize sales revenue by providing both process automation and simple, yet blazing-fast, experiences for their ticket lifecycle. While largely front-end-focused, the team does maintain ownership at multiple levels in our technology stack.What You'll Do: • Design, develop, test, deploy, and maintain impactful improvements that cross the frontend and backend code 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, • Mentor other team members and help many increase their technical capabilities, fostering a culture of inclusion, results-oriented execution, open innovation, and limitless creativity What You've Done:, • 5-6+ years of professional experience in software development, • 2+ years of in-depth experience with React and relevant toolsets/framework ecosystems, • Extensive experience developing robust, mission-critical systems using multiple general-purpose programming languages (e.g., Java, C#), • Demonstrated expertise in building software with one or more of the following: Infrastructure, Databases, Data Processing, Machine Learning, Distributed Systems, Security, and Privacy, • Previous experience designing and developing solutions to complex problems with significant business impact, • A strong understanding of how their systems interact with the broader production environment, including dependencies and platform primitives, • Proven ability to learn other coding languages, platforms, frameworks, and tools, • Experience owning projects from the initial idea all the way to production, • Experience mentoring junior engineers What We Offer:, • 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 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 seeking Senior Software Engineers in Android 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: Hybrid (3 days in office/2 days remote) - New York, NYAbout the teamThe Consumer Experience (CX) team is responsible for the end-to-end product experience for fans looking to discover, buy, and sell tickets to their favorite live events through our web and mobile platforms. It sits at the forefront of fulfilling StubHub's mission to become the global destination for accessing live event experiences by crafting the product experience that millions of fans interact with every day. We are obsessed with understanding our users' needs and delivering feature innovations, both short-term and long-term, that are as effective as they are enjoyable. We serve a global fan base and aim to deliver a localized experience that feels personalized to every individual in over 60 regions and 30 languages. We believe that diversity of thought and transparency of impact breed the best innovations, which is why we are a cross-functional team of specialists in product, design, engineering, and data working closely together with equal voice in ideation and equal access to insights. We work across the entire stack leveraging any tool or technology necessary to support web and mobile feature innovation at scale.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, • Mentor other team members and help many increase their technical capabilities, fostering a culture of inclusion, results-oriented execution, open innovation, and limitless creativity What You've Done:, • 5-6+ years of professional experience in software development, • Extensive experience developing robust, mission-critical systems using multiple general-purpose programming languages (Kotlin or Java), • Demonstrated expertise in building software with one or more of the following: Infrastructure, Databases, Data Processing, Machine Learning, Distributed Systems, Security, and Privacy, • Previous experience designing and developing solutions to complex problems with significant business impact, • A strong understanding of how their systems interact with the broader production environment, including dependencies and platform primitives, • Exposure to React Native, • Proven ability to learn other coding languages, platforms, frameworks, and tool, • Experience owning projects from the initial idea all the way to production, • Experience mentoring junior engineers What We Offer:, • 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 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 seeking Senior Software Engineers in iOS 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: Hybrid (3 days in office/2 days remote) – New York, NYAbout the teamThe Consumer Experience (CX) team is responsible for the end-to-end product experience for fans looking to discover, buy, and sell tickets to their favorite live events through our web and mobile platforms. It sits at the forefront of fulfilling StubHub's mission to become the global destination for accessing live event experiences by crafting the product experience that millions of fans interact with every day. We are obsessed with understanding our users' needs and delivering feature innovations, both short-term and long-term, that are as effective as they are enjoyable. We serve a global fan base and aim to deliver a localized experience that feels personalized to every individual in over 60 regions and 30 languages. We believe that diversity of thought and transparency of impact breed the best innovations, which is why we are a cross-functional team of specialists in product, design, engineering, and data working closely together with equal voice in ideation and equal access to insights. We work across the entire stack leveraging any tool or technology necessary to support web and mobile feature innovation at scale.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, • 5-6+ years of professional experience in software development, • Extensive experience developing robust, mission-critical systems using multiple general-purpose programming languages (Swift or Objective-C), • Demonstrated expertise in building software with one or more of the following: Infrastructure, Databases, Data Processing, Machine Learning, Distributed Systems, Security, and Privacy, • Previous experience designing and developing solutions to complex problems with significant business impact, • A strong understanding of how their systems interact with the broader production environment, including dependencies and platform primitives, • Exposure to React Native, • Proven ability to learn other coding languages, platforms, frameworks, and tools, • Experience owning projects from the initial idea all the way to production, • 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 DescriptionOXMAN OXMAN is a hybrid Design and R&D company that fuses design, technology, and biology to invent multi-scale products and environments. The fusion of disciplines within our work opens previously impossible opportunities within each domain—allowing design to inspire science and science to inspire design. At OXMAN, we question dominant modes of design that have divorced us from Nature by prioritizing humanity above all else (human-centric design). Although it is design that has caused this rift, we believe that design also offers the greatest opportunity to heal it. We propose a Nature-centric approach that delivers design solutions by, for, and with the natural world, while advancing humanity. In this pursuit, we reject all forms of segregation and instead call for a radical synergy between human-made and Nature-grown environments. This approach demands that we design across scales for systems-level impact. We consider every designed construct a whole system of heterogeneous and complex interrelations—not isolated objects—that are intrinsically connected to their environments. In doing so, we open ourselves up to moving beyond mere maintenance toward the advancement of Nature. Summary OXMAN is seeking a Computational Design Engineer/ Computer Scientist to join an all-star interdisciplinary team of deep thinkers and brilliant makers, leveraging math and computation as a language for mediation between human-made and Nature-grown environments. This person embodies both technical and aesthetic rigor in developing and applying computational methods toward the realization of novel design paradigms by building design tools for new methods of manufacturing as well as application software that interfaces with industrial and custom digital fabrication tools. In this role, they will conduct research in computational geometry, computational fabrication, computational intelligence, and/or computational dynamics and apply this research to design. They will develop striking embodiments, processes, and strategies to engage with complex environments and behavior spaces, not only through representation and prediction but also through optimization, exploration, and learning. Taking a generative and generalizable approach to design and process-driven making, the Computational Design Engineer will contribute to a range of projects at OXMAN, spanning client-specific design work and platform technology development. This way of thinking and making enables them to facilitate mediation and dialog, opening opportunities for non-obvious interactions and combined systems that unite physical, digital, and biological elements. Core responsibilities • Develop computational design processes in software applications and optimization tools with the focus on interfacing with industrial machinery and custom developed prototypes, • Simulation: for machine motion and material prediction, • Conception: Create prototypes, models, and pre-visualizations of computational design embodiments and methods to guide design processes and decision-making within the team, • Research: Conduct research to enable and support projects through computational design technologies. Research is integrated to specific projects or facilitates the development of computational design processes used across projects, • Implementation: Realize design concepts by using computational methods to design embodiments and, further, implement novel computational design processes that generate embodiments (e.g., 3D models, fabrication descriptions, machine interfaces, software, scripts), • Visualization: Develop 3D renderings and illustrations to inform and express research and design concepts to the team, clients, and the public, • Collaborate with a multidisciplinary team of engineers, biologists, and designers, • Communicate ideas, work, and progress clearly, including by engaging in team meetings, presentations, and other creative communication outletsQualifications & competencies, • Minimum 4 years of experience in software development with a focus on geometry and design, • Strong knowledge on interfacing methods for machinery, robotics, slicer, non-planar 3D printing, • Portfolio/website demonstrating out-of-the-box thinking and stellar taste in design, • Mastery of digital design tools such as SideFX Houdini, Rhino or Grasshopper, • Research experience in computational geometry, computational fabrication, computational intelligence, computational dynamics, or related fields, • Mastery in programming (Python and/or C++23) and proven proficiency in libraries of the application domains mentioned above (for example libigl, fenics, pytorch etc.), • Proficiency in real-time tools such as Touch Designer, Unreal Engine, or Unity is a plus, • Proficiency in university-level linear algebra and multivariable calculus, • Strong understanding of artistic fundamentals of composition, form, and color, • Strong commitment to the team; maintains positive working relationships with diverse people, including internal team and external partners, • Embodies ethics and integrity in all work, respecting both company and broader community policies in all conduct

Job DescriptionIf this role is still posted then we are still recruiting and needing applications.& THIS IS NOT A REMOTE OR WORK FROM HOME POSITION.& Please read this PDF before applying: recruiting-guy.co/obviant-fullstack-more-info& Position:& Full Stack EngineerSalary Range: $130,000 - $195,000, depending on experienceExperience Required: 6+ yearsJob Location: Arlington, VAModality: On-Site only. & & & & & & & & & Must live within commuting distance of Arlington, VA. or be willing to relocate. & & & & & & & & & Relocation is required but not required prior to starting.Relocation Assistance: YesUS Citizenship Required: Yes About the Role: Obviant is hiring a Full Stack Engineer who loves building products from start to finish. You will shape features, architect scalable systems, and bring clarity to complex problems through thoughtful design and clean code. This is a hands-on role where your ideas and ownership will directly shape the product. We are looking for someone who thrives in a fast-paced environment, values collaboration, and enjoys solving problems that have not been solved before. What You Will Do • & & Own projects from concept to launch, including design, architecture, and implementation., • & & Work across the entire stack, from building APIs to developing intuitive frontends and component libraries., • & & Design system architecture that scales and supports product growth., • & & Build tools and visualizations that make complex data easy to understand., • & & Write reliable, maintainable, and well tested code using TypeScript, JavaScript, React, and Node.js., • & & Collaborate with teammates and users to understand workflows and deliver impactful solutions., • & & Take initiative, share feedback, and help define technical direction. Requirements • & & 6+ years of experience as a full stack engineer, preferably in a startup or high growth environment., • & & Strong knowledge of TypeScript, JavaScript, React, and Node.js., • & & Proven frontend development experience., • & & Experience with system design, architecture, and software best practices., • & & The ability to think critically about tradeoffs and build for long term maintainability., • & & Clear communication skills and a collaborative approach to teamwork., • & & A positive, low ego attitude focused on shared success. Nice to Haves • & & Experience working at large scale technology companies such as AWS, Capital One, or similar., • & & Background in building AI or machine learning enabled products., • & & Experience developing internal tools or platforms that empower other engineers. Additional Expectations • & & US Citizenship is required due to U.S. Department of Defense contracts.

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 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. We operate in a hybrid/remote model, and this position is fully remote in the United States or hybrid in the Greater New York, Chicago, or Boston metropolitan areas. Job Description We are looking for a Senior Machine Learning Engineer to support our Databricks-native (i.e., Databricks Workflows, Delta Live Tables, Databricks Asset Bundles, Unity Catalog, etc.) machine learning and AI platform. In this role you will operationalize production-grade machine learning and AI models, manage deployments, and ensure robust monitoring and governance. In addition to solid technical skills, this role requires strong communication across functions, including data scientists, data engineers, and product managers; ability to drive clarity from requirements; and active participation and sense of ownership of end-to-end design, implementation, and testing of complex ML and AI workflows in a collaborative team environment. Responsibilities: * Manage and support ML and AI model lifecycle using Databricks and MLflow: training, tracking, packaging, deployment, monitoring, agentic AI safety and generative AI guardrails. * Automate and optimize model deployment pipelines for batch and real-time use cases. * Collaborate with data scientists to productionize models, ensuring scalability, reproducibility, and reliability. * Implement CI/CD pipelines for ML and AI workflows, including testing, version control, and rollback strategies. * Monitor deployed models for performance drift, data quality, and SLA adherence. * Support governance and compliance requirements: model registry usage, auditability, reproducibility). * Troubleshoot and resolve issues related to model training, deployment, and integration with downstream systems. * Provide operational support for Databricks Workflows, Jobs, and Delta Lake integration. * Document processes, automation frameworks, and operational runbooks. * Bring best practices to bear on the team’s products and educate the team members. Salary Range: $110,000 to $140,000 (plus bonus) Qualifications Desired Skills & Expertise: * Strong hands-on experience with Databricks (Workflows, Delta Lake, MLflow). * Proficiency with MLflow for experiment tracking, model registry, and deployments. * Experience deploying models to Databricks Model Serving, REST APIs, or external endpoints. * Familiarity with Python, Spark, and SQL for data and ML workflows. * Solid understanding of CI/CD tools (e.g., Databricks Asset Bundles, Jenkins, etc.). * Competency with shell scripting in a Linux environment nice to have * Exposure to contemporary big data and AI stacks and technologies. Typical examples include things such as Yarn, AWS, Spark, Databricks, distributed computing, chatGPT, Claude, Copilot. but this is not an exclusive list. Our platform of choice is Databricks. * Some experience with real-time processing nice to have * Solid understanding of data structures and algorithms * Some experience with production support * Experience with 3rd party marketing clouds (such as Salesforce) nice to have * Self–discipline and willingness to learn * Solid verbal and written communication skills * Team player and ability to work well with others in an intellectually challenging environment. 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 DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The opportunityAs a DevOps Engineer at Radical AI, you will be instrumental in building and maintaining a secure and efficient development and deployment pipeline for our cutting-edge AI and materials discovery platform. You will play a crucial role in streamlining our software development lifecycle and ensuring the resilience and integrity of our infrastructure and applications. Your work will be critical in enabling the rapid and secure delivery of our innovative solutions. The ideal candidate will bring strong expertise in DevOps methodologies, cloud and on-prem deployments, distributed systems, and CI/CD pipeline development. Mission • Design, build, and maintain robust, secure and scalable CI/CD pipelines to automate software delivery processes., • Collaborate closely with software engineers and ML researchers to ensure applications align with DevOps best practices., • Integrate security tools and practices into every stage of the development lifecycle, from code creation to deployment and monitoring., • Maintain and troubleshoot our cloud GPU infrastructure, hosted on Voltage Park., • Design and implement secure and optimized cloud (e.g., AWS, Azure, GCP) and on-prem infrastructure following security best practices and compliance standards., • Implement and manage containerization and orchestration technologies (e.g., Docker, Kubernetes) to improve application portability and scalability., • Develop and maintain infrastructure-as-code (IaC) using tools like Terraform or CloudFormation, • Troubleshoot and resolve infrastructure and deployment-related issues across development, staging, and production environments., • Implement and manage monitoring and alerting systems to proactively identify and resolve infrastructure and application issues., • Develop and maintain security policies, procedures, and documentation., • Promote a security-conscious culture within the engineering teams through training and knowledge sharing.About you, • B.S. or M.S. in Computer Science, Information Security, Engineering, or a related field, or equivalent practical experience., • Proven experience in DevOps, DevSecOps, or Platform Engineering role., • Experience with CI/CD tools (e.g., GitHub Actions, Jenkins, CircleCI) and integrating security checks within them., • Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP), as well as on-prem., • Proficiency in at least one scripting language (e.g., Python, Bash) for automation tasks., • Experience with Infrastructure-as-Code (IaC) tools such as Terraform or CloudFormation., • Familiarity with containerization technologies (e.g., Docker, Kubernetes)., • Understanding of network security concepts (e.g., firewalls, VPNs, network segmentation, Tailscale)., • Experience with monitoring, logging, and tracing tools (Datadog, Prometheus, Grafana, Splunk, ELK, etc.)., • Solid understanding of Linux/Unix systems administration., • Strong analytical and problem-solving skills with a security-first mindset., • Excellent communication and collaboration skills, capable of explaining technical security concepts to both technical and non-technical audiences., • Passion for building secure and reliable systems.Pluses, • Exposure to machine learning lifecycles or MLOps concepts., • Solid understanding of security principles, practices, and common security tools (e.g., vulnerability scanners, intrusion detection systems)., • Experience with security and compliance software (e.g., Drata, Apptega)., • Contributions to open-source security projects., • Familiarity with application development in Go, Python, and/or Javascript/Typescript.What we offer, • A competitive compensation package also includes the best in benefits:, • Medical, dental, and vision insurance for you and your family, • Mental health and wellness support, • Unlimited PTO and 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job Description Tiger Analytics is seeking a highly skilled Senior AI Engineer to join our dynamic team. In this role, you will design, develop, and implement cutting-edge AI solutions that drive business value for our clients. You will leverage advanced machine learning techniques, frameworks, and large datasets to create innovative products and solutions. As a Senior AI Engineer, you will work closely with cross-functional teams to identify project requirements, define success metrics, and maintain high-quality standards. Your expertise in AI will play a critical role in shaping our product offerings and ensuring the successful deployment of AI models in production. The successful candidate will have a solid background in artificial intelligence, experience with various ML frameworks, and a passion for solving complex business problems. Requirements Key Responsibilities: • Design and implement AI algorithms and models to solve real-world problems., • Collaborate with data scientists, data engineers, and business analysts to understand project requirements and propose relevant AI solutions., • Monitor and analyze the performance of AI models in production and iterate on them to improve outcomes., • Develop technical documentation as well as customer-facing documentation and presentations., • Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field., • 5+ years of experience in AI/ML development with demonstrated success in deploying machine learning models to production., • Proficiency in programming languages such as Python and familiarity with libraries such as TensorFlow, PyTorch, and Scikit-learn., • Experience with cloud-based AI services such as AWS, Google Cloud, or Azure., • Strong analytical and problem-solving skills, with a proven ability to interpret business requirements into technical solutions., • Experience with natural language processing (NLP) or computer vision applications., • Knowledge of MLOps principles and tools. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. #LI-remote

Job DescriptionBrooklyn Investment Group is an SEC-registered Investment Adviser that leverages the technology of its parent company, Brooklyn Artificial Intelligence Research. This technology is combined with institutional-grade portfolio optimization and automated tax-loss harvesting to power personalized portfolios for our clients, including financial advisory firms and asset managers. Over the past five years, Brooklyn Artificial Intelligence Research has developed one of the most powerful engines for customizing investment portfolios and more than $5 billion has been traded on its portfolios to date. Our growing team of 20+ quant investors, machine learning researchers, and software engineers comes from top universities and financial institutions such as Goldman Sachs, Citadel and Bridgewater Associates. Opportunity If you’re interested in the growing intersection of finance and technology, this opportunity offers a unique value proposition. At Brooklyn, we are firm believers in the transformative potential of technology to revolutionize portfolio management and trade execution. We are dedicated to architecting one of the most cutting-edge portfolio management platforms in the industry. As a Portfolio Management Engineer, you will play a crucial role as the primary liaison for our clients, operational partners, and custodians. Your core responsibilities will involve developing tech-forward tools to optimize portfolio management, trade execution, and reconciliation processes. You'll collaborate closely with teams across quant, engineering, research, and trading to ensure seamless workflows and innovation.Responsibilities • Ongoing Portfolio Management: Act as a bridge between portfolio management and trading teams, serving as the primary point of contact for operational partners and custodians, lending to smooth coordination and execution of trades., • Platform Enhancements: Take part in the implementation of enhancements to the portfolio management platform, utilizing stakeholder feedback and industry benchmarks to enhance functionality, reliability, and scalability, all while maintaining a top-notch user experience., • Collaborative Coordination: Coordinate closely with portfolio construction teams to ensure alignment between client objectives and investment strategies, facilitating a seamless experience for clients throughout the investment lifecycle., • Client Service: Serve as a primary point of contact for clients regarding portfolio management, trading, and reporting, offering timely updates and addressing any inquiries or concerns to maintain a high level of client satisfaction.Skills & Experience Core, • Professional Experience: Two or more years of professional work experience in equities portfolio management or investment operations., • Education Background: Bachelor's or Master’s degree from a leading institution in a quantitative discipline, such as mathematics, natural sciences, engineering, computer science, or economics., • Proficiency in Python: Demonstrate an advanced level of skill in Python programming. Follow industry best practices in software development, ensuring code is clean, modular, and efficient., • Professional Attributes: Desire to work in a fast-paced environment with meticulous attention to detail, striving to stay at the forefront of innovation in investment management.

Job DescriptionIf this role is still posted then we are still recruiting and needing applications.Job Title:& Senior Cloud Infrastructure EngineerLocation:& San Francisco, CA. Remote unavailable.Modality: On-Site only. & & & & & & & & & Must live within commuting distance of San Francisco or be willing to relocate.Relocation Assistance: NoEmployment Type:& Salaried W2 Full-Time.Salary Range: $175,000 - $250,000& About the company We represent a pioneering open source technology company in San Francisco that is transforming the way creators interact with generative AI. They are the team behind a powerful, node based visual interface that gives artists, developers, and innovators the ability to design, control, and customize AI workflows with complete flexibility. Their platform allows users to connect modular components, build complex pipelines, and run everything locally with impressive speed and precision. Their mission is to make generative AI open, transparent, and accessible to everyone. Built around community collaboration and creative empowerment, their tools help users experiment freely and bring their ideas to life. Whether it is visual storytelling, image generation, or advanced machine learning, their technology gives creators the freedom to explore without limitations. & About the Role In this role, you will take the lead on designing, deploying, and maintaining large-scale distributed systems that power AI workloads. The ideal candidate is deeply technical, self-sufficient, and motivated by solving complex infrastructure challenges. You will work closely with core engineers to shape the company’s long-term infrastructure vision while ensuring scalability, performance, and reliability across environments. & What You’ll Do * Design, build, and maintain the core infrastructure that powers AI workloads at scale * Manage and automate GPU compute clusters using tools such as Python, Kubernetes, Terraform, and Ansible * Architect and operate systems for orchestration, observability, distributed storage, and networking * Ensure reliability, scalability, and performance across production environments * Collaborate closely with core engineers to design infrastructure for new features and systems * Contribute to technical strategy and long-term infrastructure vision * Drive best practices for infrastructure automation, deployment, and monitoring & Requirements * 5+ years experience as an Infrastructure Engineer or Site Reliability Engineer building and operating large-scale distributed systems * Skilled in Python and comfortable working with infrastructure-as-code tools such as Terraform and Ansible * Familiar with container orchestration systems such as Kubernetes and related tooling like FluxCD, Prometheus, and Grafana * Capable of managing high-performance GPU environments across cloud and bare metal setups * Highly adaptable, resourceful, and motivated by building things from the ground up * Excited to work in a small, fast-growing team where autonomy and accountability are key * Comfortable working on-site in a startup setting where collaboration and speed matter most & Bonus Points * Experience contributing to or maintaining open-source projects * Background working with AI infrastructure, ML pipelines, or GPU orchestration * Strong computer science fundamentals and ability to work across different programming languages or frameworks

Job Description Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential. We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture. Our Products Captions Mirage Studio Our Technology AI Research @ Mirage Mirage Model Announcement Seeing Voices (white-paper) Press Coverage TechCrunch Lenny’s Podcast Forbes AI 50 Fast Company Our Investors We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. ** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the role: Captions is seeking a Machine Learning Engineer to partner closely with our Researchers and bring large-scale multimodal video diffusion models into production. You’ll be responsible for optimizing and deploying state-of-the-art generative models (tens to hundreds of billions of parameters) to deliver low-latency, high-throughput inference at scale. This is a unique opportunity to work on cutting-edge AI—spanning audio-video generation, diffusion architectures, and temporal modeling—and ensure these innovations reach millions of creators worldwide. Responsibilities: * Inference & Deployment * Develop high-performance GPU-based inference pipelines for large multimodal diffusion models. * Build, optimize, and maintain serving infrastructure to deliver low-latency predictions at large scale. * Collaborate with DevOps teams to containerize models, manage autoscaling, and ensure uptime SLAs. * Model Optimization & Fine-Tuning * Leverage techniques like quantization, pruning, and distillation to reduce latency and memory footprint without compromising quality. * Implement continuous fine-tuning workflows to adapt models based on real-world data and feedback. * Production MLOps * Design and maintain automated CI/CD pipelines for model deployment, versioning, and rollback. * Implement robust monitoring (latency, throughput, concept drift) and alerting for critical production systems. * Performance & Scaling * Explore cutting-edge GPU acceleration frameworks (e.g., TensorRT, Triton, TorchServe) to continuously improve throughput and reduce costs. Requirements: * Technical Expertise * Proven experience deploying deep learning models on GPU-based infrastructure (NVIDIA GPUs, CUDA, TensorRT, etc.). * Strong knowledge of containerization (Docker, Kubernetes) and microservice architectures for ML model serving. * Proficiency with Python and at least one deep learning framework (PyTorch, TensorFlow). * Model Optimization * Familiarity with compression techniques (quantization, pruning, distillation) for large-scale models. * Experience profiling and optimizing model inference (batching, concurrency, hardware utilization). * Infrastructure * Hands-on experience with ML pipeline orchestration (Airflow, Kubeflow, Argo) and automated CI/CD for ML. * Strong grasp of logging, monitoring, and alerting tools (Prometheus, Grafana, etc.) in distributed systems. * Domain Experience * Exposure to diffusion models, multimodal video generation, or large-scale generative architectures. * Experience with distributed training frameworks (FSDP, DeepSpeed, Megatron-LM) or HPC environments. Benefits: * Comprehensive medical, dental, and vision plans * 401K with employer match * Commuter Benefits * Catered lunch multiple days per week * Dinner stipend every night if you're working late and want a bite! * Grubhub subscription * Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) * Multiple team offsites per year with team events every month * Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only. Compensation Range: $200K - $300K

Job DescriptionBustle Digital Group (BDG) is looking for a talented Data Engineer to join our growing data team. You will work alongside the Director of Data Engineering to build, optimize, and scale our data infrastructure, supporting the development of data-driven products and insights that power our advertising, affiliate sales, and editorial content strategies. This is a fantastic opportunity to work with large-scale data pipelines, cutting-edge technologies, and a dynamic team that values innovation and impact.What You'll Do • Develop & Maintain Data Pipelines: Build scalable and efficient ETL pipelines to support analytics, reporting, and machine learning initiatives., • Optimize Data Storage & Performance: Work with large datasets to improve storage solutions, query performance, and data accessibility., • Collaborate Cross-Functionally: Partner with engineering and business teams to develop data solutions that enhance advertising, affiliate sales, and editorial insights., • Ensure Data Quality & Reliability: Implement monitoring, validation, and governance processes to maintain the integrity and security of our data., • Contribute to Data Strategy: Support the Director of Data Engineering in designing and implementing scalable data architectures and best practices.Who You Are, • Experienced Data Engineer: 2+ years of experience working with data infrastructure, ETL processes, and large-scale datasets., • Proficient in SQL & Python: Strong knowledge of SQL for querying and manipulating data, and experience with Python for scripting and automation., • Cloud & Big Data Savvy: Hands-on experience with cloud platforms (AWS, GCP, or Azure), data warehouses (BigQuery, Redshift, Snowflake), and distributed processing (Spark, Airflow, or similar)., • Experience working data generating frontends in React and TypeScript., • Problem Solver & Innovator: Passionate about solving complex data challenges and improving system efficiency., • Team Player & Communicator: Strong collaboration skills, with the ability to explain technical concepts to non-technical stakeholders.BDG Benefits, • Competitive Compensation: Market-based salary with annual reviews., • Unlimited PTO: Take the time you need to recharge and stay productive., • Health & Wellness: Comprehensive medical, dental, and vision coverage for you and your dependents., • Retirement Savings: 401(k) plan.

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

Job DescriptionUrgently hiring Sr. Software Engineers for Series A startup in Manhattan/NY! This Jobot Job is hosted by: Doug Goldman Are you a fit? Easy Apply now by clicking the "Apply Now" buttonand sending us your resume. Salary: $190,000 - $260,000 per year A bit about us: Our Client is a healthcare software company that leverages AI to audit patient visits against clinical and payer requirements to ensure the compliance standards are being met. Why join us? Benefits offered include: • 401(k) Retirement Savings Plan, • Equity Compensation, • Dinner Provided via DoorDash & stocked kitchen for NY employees, • Medical, Dental, and Vision coverage, • HSA / FSA, • 11 paid holidays each year, • Unlimited PTO, • Training and professional development, • Hybrid Work Schedule (4 days onsite, 3 if located > 1 hour away; Wednesdays are the WFH days typically) Job Details Requirements: • 6+ years of experience as a Software Engineer (Bonus if you hold a master’s degree), • Expertise in Python, TypeScript, and AWS infrastructure, • Experience building and scaling data-intensive applications, • Familiarity with machine learning and natural language processing concepts, • Background in the healthcare or life sciences industry Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policyCompany DescriptionJobot is on a mission to connect good people with good jobs. By combining AI-powered technology with the expertise of Jobot Pros, our experienced recruiters, we help you find career opportunities that align with your goals and values. Founded in 2018 and employee-owned since 2024, Jobot is committed to fostering a culture of kindness, respect, innovation, and connection. As an industry leader, we’ve been recognized as a top workplace by Forbes, Fortune, USA Today, and Staffing Industry Analysts (SIA). Ready to find a good job? Create your profile today at Jobot.com.Jobot is on a mission to connect good people with good jobs. By combining AI-powered technology with the expertise of Jobot Pros, our experienced recruiters, we help you find career opportunities that align with your goals and values.\r\n\r\nFounded in 2018 and employee-owned since 2024, Jobot is committed to fostering a culture of kindness, respect, innovation, and connection. As an industry leader, we’ve been recognized as a top workplace by Forbes, Fortune, USA Today, and Staffing Industry Analysts (SIA).\r\n\r\nReady to find a good job? Create your profile today at Jobot.com.

Job Description Electrical, Controls Engineer - Industrial Electro-Mechanical Machinery Industry Focus: Industrial Machinery I Electromechanical Equipment I Custom Automation Systems Robotics I Industrial Controls I Food and Beverage Manufacturing I Packaging Equipment I Water and Wastewater Treatment I Process Equipment I OEM Machine Building We are currently seeking to identify (2) Electrical Controls Engineers to join a well-established and growing industrial equipment manufacturer with over 50 years of engineering excellence. One opportunity is ideal for a junior to mid-level candidate with at least 2+ years of relevant experience, and the other is targeted for a senior-level engineer with more years of hands-on experience in electrical design, programming, controls, and industrial automation. This is your chance to join a team that builds large-scale electromechanical systems from concept through completion. From food production lines to custom process and water treatment equipment, you'll be working on machinery that makes a real-world impact. Responsibilities: · Design, develop, and program industrial electrical control systems to meet engineering and client requirements · Create electrical schematics, wiring diagrams, and panel layouts using AutoCAD Electrical or similar design software · Specify, select, and configure control system components such as PLCs, VFDs, relays, sensors, and breakers · Program PLCs and HMIs (Allen-Bradley, Siemens, or similar platforms preferred) · Layout and design control panels and motor control centers (MCCs) · Perform validation testing and troubleshoot electrical systems during build and final assembly · Collaborate closely with mechanical engineers, software engineers, and production teams to ensure full integration · Provide technical documentation including BOMs, manuals, wiring lists, and startup procedures · Travel as needed for commissioning and system validation (minimal and planned in advance) · Stay current with evolving industry technology, best practices, and safety standards Qualifications: We are hiring for two experience levels. Candidates must meet the criteria for one of the following profiles: Junior to Mid-Level Role: · Minimum 2 years of experience in electrical controls, panel design, or related engineering environment · Experience with AutoCAD Electrical or similar drafting tools · Working knowledge of industrial components and safety regulations · Basic PLC programming knowledge or exposure to automation software · Strong interest in hands-on engineering, testing, and troubleshooting · Bachelor's degree in Electrical Engineering or equivalent hands-on experience Senior-Level Role: · Experience in electrical controls and industrial automation · Proficiency in AutoCAD Electrical and strong PLC/HMI programming experience · Deep understanding of UL, NEC, NFPA 70E, and electrical safety standards · Demonstrated success leading projects or contributing to complex custom machinery builds · Ability to mentor junior team members and drive design improvements · Background in electromechanical system design and manufacturing support What Makes This Opportunity Unique: · Privately owned and financially strong company with over 50 years of proven success · All engineering and manufacturing is done in-house at our US-based facilities · Recession-resistant with projects in food processing, water treatment, packaging, and more · Work directly on high-impact custom systems from design to completion · Short lead times and an integrated design-build process · Access to a seasoned engineering team for mentorship and collaboration · Competitive salary structure with performance bonuses · Opportunities for growth into technical leadership or project management · Continued access to learning and development in electrical, automation, and mechanical engineering · Team-focused culture that values practical problem-solving, quality, and innovation Traits That Set You Up for Success: · Detail-oriented and self-driven with a strong sense of accountability · Hands-on mindset and curiosity to understand how systems work · Enjoy working on one-off and custom systems that challenge your engineering creativity · Collaborative and open communicator, ready to share and receive feedback · Willing to dive into troubleshooting and help bring machines across the finish line · Honest, reliable, and committed to continuous improvement Take the Next Step in Your Career: If you are passionate about industrial electrical systems and automation, whether you are building your skills or bringing a wealth of experience, we want to hear from you. These roles offer the chance to work on meaningful projects with a stable, growing company where your contributions matter every day. Apply now to explore how you can be a part of building the next generation of industrial automation and electromechanical systems. Equal Opportunity Commitment: We and our client are equal opportunity employers and welcome all qualified applicants regardless of race, religion, gender, age, disability, veteran status, or any other protected classification.

Job Description About Goodie AI: Goodie AI is the pioneering LLM visibility and AI search optimization platform enabling the world’s top brands to own their AI narrative across leading LLMs like ChatGPT, Gemini and Perplexity. Backed by strong funding and validated by active paying customers, we are scaling fast and tackling some of the hardest AI search challenges. We are looking for an exceptional Senior Software Engineer to join our rapidly growing team. You will play a critical role in driving and accelerating the development of cutting-edge AI use cases, working closely with our Product Lead, Designers, and Machine Learning Engineers to design and build scalable, industry-leading AI platforms. After you apply, check out Goodie AI's website to learn even more! We are looking for: We’re hiring an Enterprise Account Executive; a hybrid seller who blends commercial rigor with technical and domain fluency. You’ll break down complex problems, design sharp pitches, and prove value to win rooms of senior stakeholders - CMOs, Growth Leads, Content Managers, and other stakeholders. You’ll sit at the intersection of deal-making and thought leadership, shaping our most exciting opportunities from first intro through final signature. This isn’t just running the sales playbook. It’s part strategist/consultant, part storyteller, part sales engineer; guiding brands through Goodie’s platform, shaping proof-of-value demos, and turning leads into long-term partnerships. Your job is to turn inbound momentum into revenue, and layer in a targeted outbound motion that opens the right doors at the right logos. You’ll team up with existing Goodie team members across Product, Data, and Solutions, and collaborate closely with Agency’s Business Development team to cross-pollinate opportunities and co-sell into strategic accounts. You'll do: • Own the full sales cycle from first touch to close: qualification, multi-threading, executive narrative, solution mapping, value selling, and commercial negotiation., • Run crisp discoveries that map pains to Goodie’s capabilities and design proof-of-value pilots that de-risk decisions., • Turn demand into dollars and crush quota: Prioritize, sequence, and forecast inbound with rigor; build a precise outbound program for a named account list (ABM + events + social selling + partner co-selling). Target: enterprise and upper-mid-market across SaaS, commerce, fintech, health, and media, as well as other relevant industries., • Negotiate deals end to end and close: seamlessly and efficiently drive deals to the finish line and manage the transition process to customer success. You must also Navigate the paper and partner with legal on MSAs/SOWs, SOC 2 posture, DPAs/PII considerations, and security clients’ requirements., • Forecast and manage pipeline like a pro: Keep spotless hygiene in CRM (Hubspot) You have: • 4+ years experience closing enterprise SaaS with large new-business wins (MarTech/Analytics/SEO/AEO/AI or similar data platform experience is a plus)., • Marketing Focus: Strong understanding across the gamut of growth & performance marketing, • Outbound acumen: you’ve built named-account plays (signals, sequences, meetings ,multi-thread) and used LinkedIn/Nav/intent tools/partners effectively., • Technical fluency: comfortable discussing technical specifics, • Executive storytelling: crisp decks and value math, board-safe communication, and strong writing., • Deal leadership: mutual close plans, champions, paper process, competitive strategy. Repeatable and referenceable process management. Bonus/Nice to Haves • Sold to CMOs/Heads of Growth, VP of Marketing, Content, /SEO/AEO Leads at brand-name enterprises., • Prior MarTech, AdTech, SEO/AEO background., • Earn More, Together: Base Pay + Profit Sharing & Commissions Opportunities, • Health First: Premium Medical, Dental & Vision Coverage, • Flex Work Environment: hybrid at HQ and remote globally, • Set Up Shop: Home Office Stipend, • Recharge Anytime: Unlimited PTO Plan, • Family First: Paid Parental Leave Plan, • Secure Your Future: 401(k) Plan with Employer Matching, • Level Up: Mentorship & Career Growth Support, • Always Be Learning: Access to Top-tier Resources & Industry Experts, • Work Hard, Play Harder: Quarterly Team Trips (Onsite and Offsite), • Mind & Body Wellness: Gym, Wellness, and Access to Mental Health Plans, • Fuel Your Day: Free Lunch, Snacks, Cold Brew, & Happy Hours, • Grow With Us: Endless Opportunities to Lead & Succeed, • Keep on Shining: Ongoing Employee Development Programs EEO & Compensation Transparency: NoGood is committed to pay transparency and equity among all employees and provides employees an environment where pay transparency and dialogue on compensation are allowed. NoGood complies with federal, state, and local laws on compensation, pay transparency, and pay equity. We take factors including geographic location, education, training, skillset, market rates, certifications, and more into consideration when constructing pay ranges for new and existing roles within our organization. The compensation range for this position is $90,000-$110,000 base pay plus bonus. At NoGood, we understand that diversity in the workplace is vital to a company’s success and growth. We strive to make sure that our team members are included and have a sense of belonging that makes us a great company to work with and a great company to work for. To that end, NoGood is committed to Equal Opportunity Employment and complies with all Equal Opportunity Employment laws. We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will work to make reasonable accommodations available in the job application and interview process, to perform essential duties of the job function, and to retrieve other benefits and privileges of employment with our organization. BEWARE OF FRAUD! Please be aware of potentially fraudulent job postings or suspicious activity by persons that are posing as NoGood team members, recruiters, and HR employees. Our team will contact you regarding job opportunities from email addresses ending in @nogood.io or @higoodie.com. Additionally, we do utilize our ATS- Workable- to help us schedule initial screening calls. Job seeking is hard- we’re sorry that scammers have added this element to your search for something new. Stay vigilant out there!

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 Community Federal Savings Bank is a full-service payments, lending and banking provider that delivers global financial services through a personal approach. CFSB is seeking an Associate, Data Engineer, you will partner with talented architects, infrastructure engineers, machine learning engineers, data scientists and data analysts to improve may different products and services. You will analyze, design, develop, test, and perform ongoing maintenance to build high quality data pipelines that drive platform delivery. You will implement capabilities to solve sophisticated business problems, deploy innovative products, services, and experiences for our customers. Responsibilities: • Build and optimize data pipelines latest coding practices and industry standards, modern design patterns and architectural principles, • Conduct complex data analysis and report on results, prepare data for prescriptive and predictive modeling, combine raw information from different sources Develop and maintain process and data documentation, • Monitor and triage the data pipeline processes, • Write unit, integration tests and functional automation, researching problems discovered by quality assurance or product support, developing solutions to address the problem, • Apply a software development approach to data engineering problems (including testing, documentation, modularity and dry-ness, CI/CD workflow, etc. Knowledge, Skills, and Abilities: • Ability to use programming languages including but not limited to Python, SQL, Java, Shell scripting, • Strong understanding with cloud computing platforms (e.g., AWS), • Experience with Data Visualization tools (Looker, Mode, Sigma, ThoughtSpot, etc.…) is a plus, • Strong understanding of database security, backup, and recovery procedure, • Strong communication and collaboration skills, • Bachelor's degree in computer science, information technology, or a related field (or equivalent experience), • Minimum 4 years of experience required, • Expert level experience as a Data Engineer with a focus on Snowflake, dbt cloud, SQL, Python, Shell scripting Salary Range: $85K - $100K / year "Base salary range does not include performance-based bonus and/or other benefits, where applicable. Actual base salary offer will vary based on skills and experience." About Community Federal Savings Bank (CFSB) Community Federal Savings Bank (CFSB) is a federally chartered bank founded in 2001 and headquartered in New York City. CFSB has focused on providing superior service and added value to clients through as solid understanding of relationship banking. We offer a full range of services including loans, bill payments, card services, internet banking, and merchant processing. We are an equal opportunity employer and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, military and/or veteran status, or any other Federal or State legally-protected classes.

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role: As a Senior Data Engineer at Hinge, you will create essential data processes and contribute to components of a modern data pipeline that will be the foundation of Hinge’s decision-making ability. The systems you help create, the problems you help solve, and the support of our analytical minds, will be pivotal to the success of Hinge. Your work will enable the organization to make data-driven decisions and drive improvements, which will affect the love lives of millions of people. As a Senior Data Engineer on the team, you will be improving core functionality and implementing critical pipelines that will not only aid the Data Engineering team but also the rest of the organization. You will be working on an actual big data architecture while concentrating on real-world problems.Responsibilities: • Work with our data teams to ensure data is flowing accurately through data creation to our presentation layers., • Improve our Data Engineering stack through containerization, data modeling, developing our ETL pipelines, and more., • Use your expertise in data modeling to design, build, and maintain our analytics data warehouse, which provides clean, accurate, and robust data sets that can be leveraged for reporting, analytics, and machine learning initiatives., • Work with stakeholders and translate their needs and expectations into action items and deliverables., • Continue to learn more about the Data Engineering discipline, utilize that knowledge in your deliverables, and identify opportunities to enhance our pipelines., • Participate in our on-call rotation to ensure system reliability, promptly addressing issues to ensure smooth operations.What We're Looking For:, • 5+ years of professional/industry experience, • Proficient in Python, SQL, DevOps, and databases., • 5+ years of professional/industry experience., • Experience delivering data products from conception to delivery and with the infrastructure that supports their underlying processes., • Experience modeling data sets for different types of sources and business processes., • Passionate about designing elegant data infrastructure, tooling, and pipelines. #Hinge We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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 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 • 3-5 years of Software Development experience, and/or the ability to perform at an advanced level in the domain, • Experience in modern React, TypeScript, JavaScript, Redux / Recoil, Jest, and CSS, • Experience 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, • 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 $142,000 to $200,000 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 seeking an exceptional Staff Machine Learning Engineer to lead the design and development of the next generation of our AI-driven fraud detection platform. You will architect large-scale ML systems that detect and prevent fraud in real time combining deep machine learning expertise with scalable engineering and domain knowledge in financial systems. This is a hands-on technical leadership role, shaping our fraud prevention roadmap and ensuring the platform evolves to meet emerging threat patterns through automation, data intelligence, and generative AI–enhanced detection models. Responsibilities • Architect and build scalable ML systems for fraud detection, anomaly detection, and behavioral analysis., • Develop and maintain end-to-end ML pipelines: data ingestion, feature engineering, model training, deployment, and monitoring., • Leverage modern AI techniques, including generative AI, to improve fraud pattern discovery and model robustness., • Design and implement real-time decision systems, integrating with transaction or behavioral data streams., • Collaborate closely with engineering, security, and risk teams to define data strategy and labeling frameworks., • Lead experimentation on model explainability, drift detection, and adversarial robustness for fraud prevention use cases., • Promote engineering excellence — automation, CI/CD, reproducibility, observability, and model governance., • Mentor and guide ML and software engineers, fostering best practices and innovation. Requirements • 5+ years of experience building ML or AI systems in production; at least 2+ in fraud, risk, or anomaly detection domains., • Proven track record designing and maintaining ML pipelines at scale., • Expertise in Python, ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn), and CI/CD (GitHub Actions, Jenkins, or similar)., • Strong understanding of supervised / unsupervised learning, anomaly detection, and statistical modeling., • Experience with big data and distributed systems (e.g., Spark, Kafka, Flink, or similar)., • Familiarity with cloud platforms (AWS, GCP, or Azure) and containerized deployments (Docker, Kubernetes)., • Strong collaboration, communication, and cross-team leadership skills. Preferred Qualifications • Prior experience with fraud or financial crime detection, identity verification, or risk scoring systems., • Domain expertise in banking, payments, or transaction monitoring, • Experience fine-tuning or adapting generative AI / large language models for pattern generation or synthetic data augmentation., • Familiarity with streaming analytics, graph ML, or time-series anomaly detection., • Knowledge of model governance, bias mitigation, and regulatory compliance in fraud contexts., • Contributions to fraud detection research, open-source, or AI publications.

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role: We are hiring a Staff Machine Learning Engineer to drive the design, development, and deployment of machine learning systems that power our core products in User Growth and Monetization. You will work on building deeply personalized user experiences that drive business growth and meet individual needs and preferences: by targeting the right users with the right products at the right time, we empower product teams to drive meaningful growth in revenue and user engagement while enhancing user satisfaction. The Growth Product Group is responsible for the development of paid features to accelerate dating outcomes, driving engagement throughout a user’s lifecycle and making Hinge the dating destination for all communities. You can expect to work on a broad range of problems, from identifying how to send the right message to the right user at the right time to optimizing the efficacy of our paid offerings. This is a fast growing team, and you will help define the vision and strategy that drives meaningful growth and accelerates machine learning at Hinge.Responsibilities: • Lead the end-to-end development of production-grade ML systems such as user targeting models that will help drive engagement, improve dating outcomes and/or improve user adoption of and engagement with paid features, • Define and own the technical roadmap for ML within your product area and align with company-wide priorities, • Collaborate closely with ML Engineers, Data Scientists, and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process, • Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering impact to our daters incrementally, • Keep abreast of and bring to Hinge applicable cutting-edge research, technologies, and best practices in the ML/AI space., • Mentor and educate ML Engineers on current and up and coming research, technologies and best practices of doing ML at scale., • Ensure the ethical and responsible use of ML/AI and compliance with privacy regulations to protect user data, • Communicate effectively to audiences of various technical and non-technical backgroundsWhat We're Looking For:, • Strong programming skills: Proficiency in Python and ML libraries such as PyTorch, • Domain expertise: Deep understanding of machine learning, deep learning, and emerging AI technologies. Proven track record of building, debugging, and fine-tuning machine learning for user facing products. Experience with causal inference, uplift modeling, and interventional data collection is a plus., • System design & architecture: Strong background in setting up and optimizing ML infrastructure, including containerization (Docker), orchestration (Kubernetes), and CI/CD workflows for ML (e.g., model versioning, automated testing)., • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, KubeFlow, or Weights & Biases is a plus., • Data engineering knowledge: Skills in handling and managing large datasets including data cleaning, preprocessing, and storage. Good understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow., • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds.., • Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes., • 5+ years of experience, depending on education, as an MLE, with at least 2 years in a senior or staff-level role, • Previous experience in User Growth or Monetization, • 3+ years of experience designing and developing end-to-end, production grade ML systems, • 4+ years of experience working in a cloud environment such as GCP, AWS, Azure, • 3+ years of experience leading projects with at least 1 other team member through completion. #Hinge We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Quizlet: At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. We’re a $1B+ learning platform used by two-thirds of U.S. high school students and half of college students, powering over 1 billion learning interactions each week. We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We’re energized by the potential to power more learners through multiple approaches and various tools. Let’s Build the Future of LearningJoin us to design and deliver AI-powered learning tools that scale across the world and unlock human potential. About Engineering: Quizlet's Product Engineering organization builds the core experiences that help millions of students and teachers achieve their learning goals. We collaborate across teams to achieve user-centric outcomes, focusing on developing intuitive interfaces, engaging learning tools, and robust, scalable systems. You’ll be joining a passionate group of engineers, designers, product managers, and data scientists dedicated to solving real-world educational challenges. Our teams operate with autonomy, embrace experimentation, and are deeply committed to user-centric design. We value transparency, inclusivity, and collaboration at all levels. About the Role: We’re looking for a Senior Software Engineer to design, build, and deliver impactful, user-focused features that are core to Quizlet’s success. You’ll work closely with other engineers, product managers, designers, and data scientists to turn ideas into scalable, high-quality solutions that serve millions of learners globally. As a senior individual contributor, you’ll take ownership of complex projects from concept through deployment, applying sound technical judgment and balancing trade-offs between user experience, performance, and maintainability. You’ll play a key role in shaping architecture, driving best practices, and mentoring teammates through code reviews, design discussions, and technical guidance. This role may span consumer web experiences, mobile platforms, or shared systems - flexibility, curiosity, and strong problem-solving skills are key. Our (non-exhaustive) Tech Stack: - Languages: Go, PHP, Typescript - Frameworks: React, Next.js, UIKit, SwiftUI, Jetpack Compose - Data: MySQL, PostgreSQL, Spanner, BigQuery - Misc: GCP, Datadog, Growthbook, Rollbar, Pub/Sub, Redis/Valkey, Docker/Colima, Kubernetes We’re happy to share that this is an onsite position in our New York or San Francisco office. To help foster team collaboration, we require that employees be in the office a minimum of three days per week: Monday, Wednesday, and Thursday and as needed by your manager or the company. We believe that this working environment facilitates increased work efficiency, team partnership, and supports growth as an employee and organization.In this role, you will: • Deliver end-to-end projects that directly contribute to Quizlet’s product and business priorities - from planning and design through implementation, testing, and rollout, • Collaborate with cross-functional partners in Product, Design, and Data Science to translate ideas into technically sound and impactful solutions, • Build and maintain high-quality, scalable systems that reflect a strong understanding of your team’s domain and its impact on learners and advertisers, • Apply industry best practices and modern technologies to improve code quality, system reliability, and developer efficiency, • Lead and contribute to technical discussions, offering thoughtful insights and helping to align the team on the best path forward, • Break down complex projects into actionable, well-scoped tasks and execute them efficiently with minimal oversight, • Proactively identify and resolve issues before they affect timelines, quality, or user experience, • Mentor and support junior engineers through code reviews, pairing sessions, and sharing domain knowledge, • Continuously seek opportunities to improve engineering practices, from build systems to deployment pipelines to observability toolsWhat you bring to the table:, • 5+ years of experience in software engineering, ideally in fast-paced, product-focused environments, • Proven ability to deliver complex projects end-to-end - from design and implementation through testing and deployment, • Solid foundation in backend, mobile development or full-stack, with a focus on building scalable, high-quality systems and user experiences, • Experience working with cloud infrastructure, distributed systems, and modern CI/CD practices, • Familiarity with microservices, event-driven systems, and data storage technologies, • Strong problem-solving skills and the ability to make thoughtful, data-informed technical decisions, • Curiosity to explore and apply emerging technologies and frameworks, • Excellent collaboration and communication skills, with the ability to work effectively in cross-functional teams, • Experience mentoring or guiding peers and contributing to a culture of learningBonus points if you have:, • Experience building and scaling education-focused or consumer-facing apps or subscription platforms or in an Ads publisher stack, • Worked in environments with high data or performance requirements, • Contributed to mobile-first product initiatives or multi-platform development, SDUI, • Hands-on involvement in incident response or operational engineering practicesCompensation, Benefits & Perks:, • Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $170,880 - $231,600, depending on location and experience, as well as company stock options, • Collaborate with your manager and team to create a healthy work-life balance, • 20 vacation days that we expect you to take!, • Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice), • Employer-sponsored 401k plan with company match, • Access to LinkedIn Learning and other resources to support professional growth, • Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits We strive to make everyone feel comfortable and welcome!We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership. We provide a transparent setting that gives a comprehensive view of who we are! In Closing: At Quizlet, we’re excited about passionate people joining our team—even if you don’t check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together.” Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us! To All Recruiters and Placement Agencies: At this time, Quizlet does not accept unsolicited agency resumes and/or profiles. Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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 seeking Senior Software Engineers to design and develop next-generation technologies and complex features that transform the way millions of users explore, interact with, and participate in live events worldwide. As a Senior Software Engineer, you will be an integral part of developing the team's commercial and product strategy. You will be expected to be equally focused on user needs and to exercise sound commercial judgment (not just technical judgment). Our Senior Software Engineers are essential to our company's success, so they must demonstrate initiative and enthusiasm in solving the problems they encounter. StubHub is committed to being a phenomenal and inclusive workplace. We expect you to also serve as an advocate and mentor for your team members, demonstrating leadership qualities and setting an example for those around you. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Santa Monica, CA About the team:The Selection Core Team forms the foundation of the StubHub consumer experience and is at the heart of our mission to connect people with unforgettable experiences. The team is responsible for sourcing and categorizing data as part of the ingestion process, efficiently and meaningfully storing an ever-growing stream of data, and finally exposing the data to the end-user through a comprehensive set of scalable and intuitive interfaces. At a foundational level, the Selection Core Team aspires to act as an innovation engine for downstream teams, powering the enrichment of experiences on the front end within Consumer Experience, enabling innovative strategies for Customer Service, and facilitating more relevant ads for Performance Marketing. Finally, as the source for all visual assets (images, maps), the Catalog plays a pivotal role in shaping the look and feel of StubHub's website, serving millions of users a month with engaging visual content. 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, • Mentor other team members and help many increase their technical capabilities, fostering a culture of inclusion, results-oriented execution, open innovation, and limitless creativity What You've Done:, • 7+ years of professional experience in software development, • Extensive experience developing robust, mission-critical systems using general-purpose programming languages(e.g., Java, C#), • Demonstrated expertise in building software with one or more of the following: Infrastructure, Data Engineering, Machine Learning, API Design, and Distributed Systems, • Previous experience designing and developing solutions to complex problems with significant business impact, • A strong understanding of how their systems interact with the broader production environment, including dependencies and platform primitives, • Proven ability to learn other coding languages, platforms, frameworks, and tools, • Experience owning projects from the initial idea all the way to production, • Experience mentoring junior engineers What We Offer:, • 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 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 This Software Engineering position is with NoGood's sister company, Goodie AI. Read on to learn more. About Goodie AI: Goodie AI is the pioneering LLM visibility and AI search optimization platform enabling the world’s top brands to own their AI narrative across leading LLMs like ChatGPT, Gemini and Perplexity. Backed by strong funding and validated by active paying customers, we are scaling fast and tackling some of the hardest AI search challenges. We are looking for an exceptional Senior Software Engineer to join our rapidly growing team. You will play a critical role in driving and accelerating the development of cutting-edge AI use cases, working closely with our Product Lead, Designers, and Machine Learning Engineers to design and build scalable, industry-leading AI platforms. After you apply, check out Goodie AI's website to learn even more! Why join us: • Shape the future of AI search and brand discovery—work at the cutting edge of Answer Engine Optimization (AEO)., • End-to-end ownership—drive scalability, speed, and user experience of our AI-Native platform., • Work on high-impact AI applications used by top brands., • Well-funded, fast-growing AI startup with a strong product-market fit., • Salary: $160K-$200K + Equity (commensurate with experience)., • Location: NYC-based (In-person)., • Best-in-class benefits.You'll do:, • Lead the development of our AI platform, focusing on scalability, speed, and user experience., • Architect and develop front-end solutions using React to create smooth, engaging, and intentional user experiences., • Implement back-end infrastructure with a focus on speed, scalability, security, and seamless integration with various platforms via robust API connections., • Utilize DevOps practices to manage the deployment pipeline, ensuring efficient, reliable, and secure software delivery., • Collaborate with UX/UI Designers to translate web designs into functional, intuitive user interfaces., • Work closely with Data Scientists to ensure accurate data collection, analysis, and application within the platform., • Participate in the entire application lifecycle, from coding to debugging and testing, with an emphasis on quality and performance., • Maintain and optimize the performance of existing applications., • Stay up-to-date with emerging technologies and explore potential integrations to enhance our operations., • Take full ownership of the technical delivery of projects from planning through deployment., • Translate business requirements into technical specifications and ensure alignment across engineering and product teams., • Develop project timelines, allocate resources, and monitor progress to ensure timely delivery of features and milestones., • Anticipate risks and roadblocks, proactively manage dependencies, and resolve issues to keep projects on track., • Ensure quality assurance, performance, and scalability standards are met throughout the development lifecycle. You have: • 5+ years of full-stack development experience building high-usage B2B applications., • Frontend expertise in React, TypeScript, and Next.js, with a focus on responsive, high-performance interfaces., • Experience with server-side languages such as Python, Node.js, or Java., • Strong understanding of DevOps practices, including CI/CD, containerization (Docker), and cloud infrastructure (AWS, GCP, or Azure)., • Experience with database management systems (MySQL, PostgreSQL, MongoDB)., • Solid knowledge of RESTful APIs, API integration, and data exchange formats (JSON, XML)., • Familiarity with version control (Git), automated testing, and software development best practices., • Bonus: Experience with AI search, vector databases, LLM APIs, embeddings, or retrieval-augmented generation (RAG)., • Startup-ready: thrives in fast-paced, ambiguous environments, loves shipping quickly., • Passion for ad tech, AI, and building AI-native engineering teams., • Earn More, Together: Base Pay + Profit Sharing & Commissions Opportunities, • Health First: Premium Medical, Dental & Vision Coverage, • Flex Work Environment: hybrid at HQ and remote globally, • Set Up Shop: Home Office Stipend, • Recharge Anytime: Unlimited PTO Plan, • Family First: Paid Parental Leave Plan, • Secure Your Future: 401(k) Plan with Employer Matching, • Level Up: Mentorship & Career Growth Support, • Always Be Learning: Access to Top-tier Resources & Industry Experts, • Work Hard, Play Harder: Quarterly Team Trips (Onsite and Offsite), • Mind & Body Wellness: Gym, Wellness, and Access to Mental Health Plans, • Fuel Your Day: Free Lunch, Snacks, Cold Brew, & Happy Hours, • Grow With Us: Endless Opportunities to Lead & Succeed, • Keep on Shining: Ongoing Employee Development Programs EEO & Compensation Transparency: Goodie AI is committed to pay transparency and equity among all employees and provides employees an environment where pay transparency and dialogue on compensation are allowed. Goodie AI complies with federal, state, and local laws on compensation, pay transparency, and pay equity. We take factors including geographic location, education, training, skillset, market rates, certifications, and more into consideration when constructing pay ranges for new and existing roles within our organization. The compensation range for this position is $160,000 - $200,000, base pay plus bonus. At Goodie AI, we understand that diversity in the workplace is vital to a company’s success and growth. We strive to make sure that our team members are included and have a sense of belonging that makes us a great company to work with and a great company to work for. To that end, Goodie AI is committed to Equal Opportunity Employment and complies with all Equal Opportunity Employment laws. We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will work to make reasonable accommodations available in the job application and interview process, to perform essential duties of the job function, and to retrieve other benefits and privileges of employment with our organization. BEWARE OF FRAUD! Please be aware of potentially fraudulent job postings or suspicious activity by persons that are posing as NoGood team members, recruiters, and HR employees. Our team will contact you regarding job opportunities from email addresses ending in @nogood.io or @higoodie.com. Additionally, we do utilize our ATS- Workable- to help us schedule initial screening calls. Job seeking is hard- we’re sorry that scammers have added this element to your search for something new. Stay vigilant out there!

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