Machine learning engineer posti di lavoro in Hoboken, New Jersey - Page 4Crea avvisi di lavoro

For data Science/Data Engineer, Data Analyst/AI/Machine learning Positions. Knowledge of Statistics, Databricks, Snowflake, Pyspark , PowerBI, Tableau, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools. If you get emails from our Job Placement team and are not interested plea

A leading AI firm in New York is seeking a Machine Learning Research Engineer to contribute to innovative AI solutions.

What You Will Do You will work with a mixed team of Engineers, Operations Researchers, and Economists to build large-scale pricing optimization systems to set prices based on real-time marketplace conditions for Uber's rides products globally.

Backed by the Chan Zuckerberg Initiative (CZI), Biohub operates as a nonprofit organization uniting leading scientists, engineers, and technologists across hubs based in California, New York, and Chicago. Collaborate with researchers and engineers at the company’s partners (clients or academic par

In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist. Java programmers use data structures to store and organize data, and we use algorithms to mani

Machine Learning Engineer - Model Evaluations, Public Sector. The Public Sector ML team at Scale deploys advanced AI systems—including LLMs, agentic models, and multimodal pipelines—into mission-critical government environments. We build evaluation frameworks that ensure these models operate rel

A leading financial technology company is seeking a Machine Learning Engineer for their Foundation Model team.The candidate will develop and optimize machine learning models that enhance payments and risk solutions, drive technical excellence, and collaborate across teams.The role offers flexibility

We bring together world‑class data engineers, platform engineers, machine learning engineers, analytics engineers, and data scientists — all working in harmony to transform raw information into secure, reliable, and actionable intelligence. As a Staff Data Engineer, you will lead architectural i

At Bedrock, we've assembled one of the most experienced autonomous technology teams in the industry, with deep expertise scaling breakthroughs across transportation, infrastructure, and enterprise software.

About the Project: Sepal is conducting a research study to understand work excellence among data scientistss to establish professional benchmarks. Selected participants will share their professional background, design field-specific screening questions, and document substantial work projects as case studies.\n\nSample of Reported Job Titles: Data Scientist, Machine Learning Engineer, Data Analyst, AI Scientist, Quantitative Analyst.\n\nMUST-HAVE QUALIFICATIONS:\n-4+ years full-time experience as a data scientists\n-English language fluency\n-U.S. residency\n-Access to a laptop or desktop computer with reliable internet\n-Technology proficiency: Comfortable with messaging, video calling, and uploading files\n-Ability to follow detailed written instructions and complete online tasks independently\n\nCOMPENSATION AND LOGISTICS:\n-Hourly pay: $38–$170 per hour, plus task bonuses, based on experience and fit\n-Paid bi-weekly based on tracked and approved hours\n-Classification as 1099 independent contractor; engagement is at-will\n-Entirely remote—work whenever you like as long as deadlines are met\n-Current employment in the field is not required\n\nThis is a short-term project requiring roughly 40–100 hours of work total, between now and December 29th. The engagement begins with a paid 2–4 day trial.\n\nWHAT YOU WILL DO\n-- Complete a short questionnaire outlining your analytical background\n -- Evaluate AI-generated statistical analyses, predictive models, feature engineering steps, and experimental designs\n -- Help develop realistic and edge-case scenarios involving model drift, data imbalance, inference errors, and ambiguous findings\n -- Provide expert judgment on what high-quality versus low-quality analytical work looks like in practice\nWHY PARTICIPATE?\nYour real-world experience is essential to establishing rigorous safety and capability benchmarks for AI systems handling high-impact analytical tasks. You will directly shape standards for evaluating future AI models while being compensated for your expertise.\n\nLIMITED AVAILABILITY\nParticipation is limited. Applications are reviewed on a rolling basis.

A leading technology firm is seeking a Staff Applied AI/ML Engineer to enhance customer experience through AI and machine learning solutions.You will drive AI initiatives, collaborate with cross-functional teams, and optimize customer journey-related products.The ideal candidate has over 8 years of

The ideal candidate will possess strong software engineering skills and experience with large language models and related algorithms. A leading AI technology company in New York is hiring a Machine Learning Research Engineer to develop next-gen training algorithms and optimize ML systems.

You have 4+ years of experience as a Machine Learning Scientist, Machine Learning Engineer, Data Scientist, or similar role. We are seeking Machine Learning Scientists to join our talented, ambitious, and kind team. You'll have the opportunity to innovate on methods, work with leading drug discovery

Machine Learning Research Engineer, GenAI Applied ML. This role will lead the development of machine learning systems powering internal and external customer use cases across Scale’s GenAI platform. Design and deploy machine learning models to power core customer‑facing and internal GenAI featur

We build evaluation frameworks that ensure these models operate reliably, safely, and effectively under real-world constraints. Develop and maintain automated evaluation pipelines for ML models across functional, performance, robustness, and safety metrics, including LLM-judge-based evaluations. Con

Our team is seeking a highly motivated and skilled individual to join as Machine Learning Engineer, Associate Vice President (AVP), as part of the Data Management Engineering Team under Enterprise Data & Data Capabilities.

The Principal AI/Machine Learning Engineer will oversee defining and executing ZT’s roadmap for applying artificial intelligence and machine learning in manufacturing. Structured training programs and on-the-job learning opportunities. Principal AI / Machine Learning Engineer.

Systematic and pragmatic engineer, balancing business sense of urgency with engineering excellence. Help build a culture of innovation and engineering excellence by providing guidance to a team of machine learning engineers. We are looking for a passionate machine learning expert to lead design and

We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. We're happy to consider where you might be able to make the biggest impact. Hugging Face is an equal opportunity empl

Utilize, build and extend upon industry leading frameworks (NeMo, Megatron Core, PyTorch, Jax, vLLM, TRT, etc) - Work with other team members to investigate design approaches, prototype new technology, scientific techniques and evaluate technical feasibility - Deliver results independently in a se

As a Distinguished Machine Learning Engineer, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack for Monetization. You will work on tackling new challenges in machine learning and deep learning to advance the statistical models th

We are looking for an experienced Senior Staff Machine Learning Engineer to join the Account Integrity team within Trusted Identity engineering org at Uber. Leverage algorithmic knowledge in machine learning/optimization/statistics to design robust engineering solutions to positively impact Uber's b

Job Description Do you want to be part of the core team building truly AI-native helpful experiences across the consumer space? Do you want to be at the cutting edge of what is next in the AI space but apply it to something of true value in the real world? At Verneek, we are on a mission to build the most helpful AI that augments the knowledge of anyone, anywhere, at any time! As opposed to the mainstream, we believe that the way to bring domain-general AI to the masses is to apply it one domain at a time, through AIs with deep domain expertise. We were on this journey before it got the hottest thing on the face of the planet! Come join some OGs in this so-called "generative AI" space and invent what is yet to be the future! If you are craving to learn something new every day while working at the cutting edge of AI, Verneek could be a perfect opportunity for you: a deep-tech AI startup, where you'd get to learn, innovate, and leave your mark every single hour of every day. We are looking for a stellar & highly ambitious ML engineer as core employees to help build complex AI/NLP models supporting the Verneek AI platform! You'll get to work on fundamental AI research problems, but all grounded on our proprietary AI platform. It is all much more rewarding and influential than working on beating AI benchmarks! :) Every day, you'll get to solve very unique, highly complex, and socially impactful problems. This is an early-stage startup, so we'll be moving super-fast and there will be no legacy obstacles on your way to make a significant impact. Whatever you do every hour of every day counts!! RESPONSIBILITIES MINIMUM QUALIFICATIONS • BSc. degree in Computer Science or related fields, • 3+ years of experience with Python, • 3+ years hands-on experience developing architectures with machine learning frameworks such as PyTorch, • Demonstrated AI/NLP engineering skillset through having deployed largescale AI/NLP systems to production, • Work authorization in the USA at the time of hire, • Continuing work authorization during employment can be sponsored by Verneek PREFERRED QUALIFICATIONS • MSc. degree in Computer Science or related fields, • Experience in Natural Language Understanding, Dialogue Systems, Semantic Parsing, Transfer Learning and learning with limited data, • Experience with building models in the commerce/retail domain 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 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 introductory videos and 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. Annual Salary Range: $40K-$200K

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 DescriptionOXMAN is a hybrid Design and R&D company that merges design, technology, and biology to create innovative multi-scale products and environments. Our work transcends traditional boundaries, leveraging digital tools and Nature-centric approaches to heal the relationship between humanity and the natural world. Our vision emphasizes synergy between human-made and Nature-grown environments, designing whole systems that positively impact ecological outcomes. We are seeking an enthusiastic and innovation-driven Lead Software Engineer to transform our Eden Technologies—comprising design optimization, generative tools, environmental simulation, and ecosystem behavior models—into an integrated software platform. This role offers a unique opportunity to develop innovative technologies and visually compelling software that supports the digital design of architectural and urban projects optimized for ecosystem services. Join us to redefine how design and technology can coexist with and enhance the natural world. Please provide cover letter and portfolio if available. Responsibilities • Architect and implement software solutions that translate and advance Eden Technologies into integrated, user-friendly, visually engaging applications., • Develop computational methods in data-driven optimization, simulation, and design generation, aligned with Eden Technologies, to enhance ecosystem services, biodiversity, and ecological resilience, • Define and drive the software development roadmap, ensuring alignment with OXMAN's overarching mission and project timelines., • Develop web-based or desktop applications with interactive 3D rendering capabilities., • Collaborate closely with interdisciplinary teams, including computational ecologists, researchers, and designers, to integrate computational methods into robust software products., • Explore and propose suitable frameworks, game engines, and pipelines to deliver high-quality experiences and real-time performance., • Integrate GIS and geospatial data into software solutions, enabling spatial analysis and visualization of ecological data., • Ensure vertical integration of computational tools into cohesive software and horizontal integration through efficient maintenance and modular codebase management., • Actively contribute to defining software architecture and implementing best practices in coding, testing, and deployment., • Provide technical documentation and support, ensuring usability, maintainability, and scalability.Qualifications, • PhD or equivalent, with a focus on computer science, artificial intelligence, machine learning, applied data science, bioinformatics, mathematics, physics, or relevant field, • Minimum 4 years of experience, • Proficiency in modern variants of programming languages such as JavaScript, TypeScript, or C++., • Familiarity with 3D web rendering frameworks (e.g., Three.js) or game engines (Unity, Unreal Engine)., • Familiarity with 3D applications such as Rhino Grasshopper, SideFX Houdini is a plus., • Ability to work collaboratively in multidisciplinary teams., • Strong problem-solving skills, enthusiasm, and creativity to approach complex software development challenges., • Experience with GIS (Geospatial Information Systems) and analysis of remote sensing data., • Experience with computational methods, particularly in applications related to generative design, data-driven optimization and environmental modeling., • Understanding of deep generative modelling methods as it relates to design generation., • Understanding of reinforcement learning techniques and their application in data-driven design optimization scenarios., • Understanding of computational simulation methods for environmental modelling., • Familiarity with ecological modeling, environmental data analysis, or sustainability-focused design principles., • Experience integrating environmental datasets (e.g., climate data, biodiversity records) into software applications.Preferred Qualifications, • Experience or interest in ecological design or architecture software., • Previous involvement with computational modeling, visualization, or simulation software., • Understanding or willingness to learn about ecosystem services, environmental data, and spatial analytics., • Experience collaborating in interdisciplinary teams, bridging software engineering with fields like ecology, architecture, or biology., • Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.Location

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 Joining Hinge’s AI Platform Core team offers a unique opportunity to help define and contribute to a growing ML platform with the goal of accelerating the development, deployment, and operations of AI enabled features on Hinge. If you are excited by the idea of working on challenges ranging from maturing and scaling our training and serving frameworks to enable millisecond real-time predictions and models that continually learn at scale, providing automatic model performance monitoring & debug frameworks, and building Platforms for architecting and evaluating generative AI & Agentic systems, then read on!With a mission to democratize AI for Hinge, ensuring it remains easily accessible, robust, scalable, cost-efficient, and trusted. You'll collaborate across our product and platform teams, as well as with external stakeholders like data science and backend engineering. You will meet our internal customers where they are and optimize towards their needs by delivering value incrementally and coupled to their problems. Being part of a small yet impactful team means having a broad scope of responsibility. As the role of ML at Hinge is only becoming more impactful, this role provides you with a chance to grow in impact and scope across the company. This is an exciting opportunity to own and help define the future of machine learning within a growing and maturing team!Responsibilities • Own or contribute to technical designs for the feature platform, training platform, serving platform, AI observability platform and GenAI Platform and underlying operational infrastructure to enable Product impact., • Develop, maintain, and enhance frameworks for AI/ML model development and deployment while establishing and driving best practices in MLOps / GenAI engineering., • Design, advocate, and implement for usability, reliability, scalability, operational excellence, and cost management while delivering incrementally., • Collaborate closely with ML Engineers, Data Scientists, Data Engineers and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process., • Mentor and educate ML Engineers, Backend Engineers and Product Managers on current and up and coming tools and technologies for ML operations & GenAI product development through presentations and documentation., • Help design and architect an AI platform that adheres to the principles of responsible AI (Authenticity, Transparency, Equity) and builds privacy compliance into the platform., • Lead build vs buy discussions on technologies that underpin the Platforms we serve., • Participate in on-call and Incident Management processes. What We're Looking For, • 4+ years of experience, depending on education, as an ML, backend, data, or platform engineer developing and working with large scale, complex systems., • 2+ years of experience working on a cloud environment such as GCP, AWS, Azure, and with dev-ops tooling such as Kubernetes, • 1+ year of experience leading projects with at least 1 other team member through completion., • 1+ year of experience for Senior designing and developing online and production grade ML systems., • A degree in computer science, engineering, or a related field., • Strong programming skills: Proficiency in languages like Python, Go, or Java., • System design & architecture: Ability to design scalable and efficient ML systems., • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure., • ML knowledge: A basic understanding of ML algorithms, techniques, and best practices., • Data engineering knowledge: Skills in handling and managing large datasets including, data cleaning, preprocessing, and storage, • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds.., • Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation #Hinge

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 Aliso Viejo, CA or Seattle, WAAbout 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 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 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 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 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 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. To transform the way millions of users explore, interact with, and participate in live events worldwide, StubHub is seeking Senior Software Engineers to design and develop next-generation technologies and complex features. As a Senior Software Engineer, you will be at the forefront of tackling significant, ambiguous, and non-trivial challenges as a core contributor and innovator, bringing creative technical solutions to life. 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 workplace. As a Senior Software Engineer, you will 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 Direct Marketing Technology team builds the intelligence and systems behind StubHub's lifecycle marketing engine, encompassing email, push, and app notifications. We focus on making every fan interaction relevant, timely, and effective in driving repeat engagement. Our work sits at the intersection of data science, personalization, marketing technology, and software engineering. The challenge: retain attention in a noisy digital world by creating messaging that resonates emotionally and delivers value, not just promotion. Our solutions rely on real-time targeting, campaign decision-making, and experimentation 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 (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 engineersWhat 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 Our Client A fast growing standards and insurance startup based in San Francisco, they have raised 15 million dollars in funding and are reinventing how enterprises adopt AI agents. Their two pronged model, which includes creating the industry’s first AI agent standard and pairing it with bespoke insurance coverage, gives AI companies a trusted pathway to certify their agents and reduces enterprise risk. By helping AI vendors earn credible certification and providing insurance protection against failures such as hallucinations, data leaks, or control breakdowns, they enable enterprise buyers to deploy AI with confidence rather than fear. With deep expertise in AI risk, insurance, and standards, they are building the essential “confidence infrastructure” that will support safe AI scale up. About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that’s deeply embedded in our clients’ recruitment operations. We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Location: San Francisco Work type: Full Time, Compensation: above market base + bonus + equity Roles & Responsibilities * Lead end-to-end development of AI agent products and infrastructure, collaborating closely with the founding team. * Build and scale evaluation pipelines to detect AI agent failures in deployment (e.g., hallucinations, jailbreaks, brand risks, data leakage). * Design and implement the gold standard for secure, safe, and reliable AI agents. * Develop and maintain full-stack systems, including backend (Python, LangChain) and frontend (React, TypeScript) components. * Create monitoring tools, filters, and authorization frameworks to support AI agent builders. * Work on-site in San Francisco, contributing to a fast-paced, high-agency startup environment. * Ship products frequently, gather user feedback, and iterate rapidly to improve reliability and safety of AI systems. Qualifications * Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience. * 1+ years of experience as an AI Software Engineer with active coding responsibilities. * Proven expertise developing AI agents and LLM-based systems (e.g., published research or work in a leading AI team). * Founding or early-stage startup experience, with demonstrated ability to own end-to-end product development. * Strong understanding of AI evaluation methodologies and deployment reliability standards. * Excellent problem-solving and communication skills with the ability to articulate technical impact in business terms. * Evidence of high agency, ownership, and execution velocity (e.g., promotions in <2 years, side projects, or rapid iteration). * Can work full-time on-site in San Francisco (5 days a week).

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 StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. StubHub is committed to providing a secure and seamless experiences for our customers. As a Senior Software Engineer on the Customer Identity Engineering team, you will work on improving and maintaining the core systems that authenticate and authorize users across our platforms. You will also collaborate with data scientists and other engineering teams to build and implement advanced detections to identifyty and prevent Auth-N / Auth-Z abuse. You'll have the opportunity to work with cutting-edge security protocols, contribute to improving the reliability and performance of our identity services, and help ensure that our customers' accounts remain secure. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Santa Monica, CA About the team:StubHub's Customer Identity Engineering team plays a critical role in ensuring the safety of our users by maintaining and enhancing our authentication and authorization services through the use of security best-practices and first-class software engineering What You'll Do: • Design, build, and maintain scalable authentication and authorization services., • Implement security features to protect against common vulnerabilities (e.g. OWASP top 10), • Collaborate with data science teams to integrate machine learning models aimed at identifying and preventing suspicious login activity., • Monitor and improve the performance of identity-related services., • Investigate and troubleshoot issues related to account security, user identity, and authentication failures., • Drive improvements in security protocols, performance optimization, and user experience., • 5+ years of experience in software engineering, ideally with a focus on authentication, authorization, and identity services., • Proficiency in backend development using languages such as Java, C#, or Python., • Experience working with security protocols such as OAuth, SAML, OpenID Connect, and WebAuthN., • Familiarity with building and maintaining scalable, distributed systems., • Experience working with databases, both relational (e.g., MSSQL, MySQL, PostgreSQL) and NoSQL (e.g., DynamoDB, Cassandra)., • Understanding foundational concepts of machine learning (Supervised / Unsupervised) and the ability to collaborate with data scientists on implementations., • Working Knowledge of cloud platforms (AWS, GCP, Azure), hands-on experience building and owning a cloud optimized service., • Expert experience with containerization and hosting technologies (e.g., Docker, Kubernetes)., • Familiarity with monitoring and alerting tools such as Prometheus / Grafana., • Accelerated Growth Environment: Immerse yourself in an environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Enjoy a rewarding compensation package that includes enticing stock incentives, aligning with our commitment to recognizing and valuing your contributions., • Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed.

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

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

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 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 Trellis is a profitable, fast-growing Series A startup backed by General Catalyst, QED, NYCA, and Amex Ventures. We're reimagining how people shop for home and auto insurance, using smart technology to make something historically painful feel refreshingly easy. Every day, we help people save time, money, and unnecessary headaches. Behind the scenes, our fully remote team moves fast, owns their craft, and builds products that genuinely make life better. Led by a three-time fintech founder with a proven track record of going big, we're building something special, and we're just getting started. If you're hungry to make an impact and love solving complex problems with a scrappy crew, you'll love it here. About the Role Trellis is hiring a Staff Software Engineer to help us scale our real time bidding services. You'll join a nimble and driven team where your contributions will shape the future of our product, architecture, and company. Your primary focus will be designing, implementing, and operating robust, high-throughput distributed services – including ML serving infrastructure – using Python, Kubernetes, and core GCP managed services like GKE, Pub/Sub, Dataflow, and BigQuery. If you thrive on solving complex scaling problems and have deep experience building reliable cloud-native systems, join our fast-paced team and define the future of our technology. This is a fully remote position, based in the US or Canada, and will report directly into the Head of RTB, Thomas Boquet. We believe in paying competitively for great work. As a remote team, we set our salaries at the 75th percentile of national market data in our industry. You can count on your pay being in line with (or above) the market. For this role, the base salary range is $205,000-$215,000. We review compensation twice a year to make sure we're staying competitive and rewarding our team's contributions. What You'll Do • Evolve our real time bidding services, including the machine learning serving services and infrastructure., • Manage and optimize our Google Cloud Platform (GCP) ecosystem., • Design and maintain high-throughput distributed systems that gracefully handle large-scale data pipelines., • Own and operate integrations with a growing list of external partners—laying the foundation for long-term growth., • Be a critical voice in technical strategy, architecture decisions, and product direction., • Stay fast and focused, delivering impact through smart choices., • Collaborate with a cross-functional team that includes product, data, and fellow engineers.What You'll Need, • 7-12+ years of engineering experience, with a majority of your time focused on backend or infrastructure systems., • Expertise in utilizing GCP managed services to effectively deploy, monitor, manage, and scale reliable systems, directly contributing to product improvements and business objectives., • A "get it done" mindset with the ability to balance speed, performance, and scalability., • The ability to optimize the tech stack functionally, minimize the required maintenance and maximize value discovery. We're a team of builders, dreamers, and doers reshaping an industry that touches every household in America. At Trellis, you'll have real ownership, meaningful impact, and the chance to grow alongside a company that's scaling fast. Here's what makes Trellis an incredible place to build your career: * ✨ A flat, transparent culture where your voice actually matters * 🚀 Ground-floor opportunity with room to stretch and grow * 💰 Compensation at the 75th+ percentile * 🏡 100% remote... work from wherever you do your best thinking (In the US or Canada, that is) * 🎉 Quarterly team events that keep our fully remote culture connected and fun And yes, the perks are pretty great too: * 🌴 Flexible vacation (seriously, we want you to take it) * 🩺 100% employer-paid health insurance for employees (65% for dependents) * 💻 Home office budget to set up your perfect workspace • 🧘🏼️‍♂️ Wellness events throughout the year, because we believe in investing in the full human, not just the employee 💸 Automatic 401(k) contribution, FSAs, bonuses, and equity opportunities to invest in your future • 🐣 Paid parental leave 👉 If you're looking for a place where you can do the best work of your career, while building something that actually matters, we'd love to meet you.

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 working on the Agent team at Radical, you’ll help build and push our AI agent towards scientific superintelligence. You’ll design, build, and maintain a variety of tools this agent can access and operate such as running Bayesian optimization, referencing scientific literature, querying against an internal experimental database, and queueing quantum chemistry simulation workflows. We work in a deeply technical domain—ML, materials science, and experimental automation—and your software will directly influence real-world outcomes.About You • 0 to 1 experience developing agents & agentic workflows in production., • Python expertise, including asynchronous programming, type checking, and packaging. You are comfortable with the modern Python AI ecosystem including frameworks such as LangChain and PydanticAI., • Developed and maintained agentic tools for retrieving data, leveraging internal & external APIs, writing & executing code, etc., • Developed and maintained data pipelines for ingesting, storing, and transforming source data for LLMs., • Experience with developing and debugging agentic patterns such as multi-agent cooperation, goal decomposition, context management, and autonomous operation., • Frontend engineering experience with Svelte, React, or similar frameworks. You’ve built responsive, real-time interfaces and care about state management, testing, and usability., • Comfort with telemetry, observability, and debugging tools—structlog, OpenTelemetry, Prometheus, Grafana, etc. You think about how systems fail and how to make failure modes easy to diagnose., • You're driven by technical depth and product impact. You want your code to directly influence what happens in the real world—and you’re eager to work alongside roboticists, ML engineers, and scientists to make that happen.Pluses, • Have built SDKs and developer tools., • Exposure to scientific computing, quantum chemistry, or ML-in-the-loop pipelines and infrastructure., • Experience working with structured telemetry, logs, or time-series data., • Comfort developing and debugging in hybrid on-prem/cloud environments (e.g., Docker, k8s).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 The Role Join our team and help build the world's first biological reasoning model. Work with us to build generative foundational models that decode biological systems across scales - from molecules to organisms - enabling us to predict, understand, and program living systems in ways never before possible. Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier VCs including Y Combinator. As a Machine Learning Engineer, you'll work alongside our founders and team members to develop and implement cutting-edge AI systems capable of complex biological reasoning across multiple scales. * You will build foundational models for biology capable of reading and writing biology at scale * You will develop deep generative models for biological applications, exploring innovative architectures to capture the complexities of multi-scale biological systems * You will work on distributed training systems to scale our models to billions of parameters, optimizing for performance and efficiency across multi-GPU and multi-node setups while handling large-scale biological datasets * You will engineer efficient data pipelines to manage and process massive biological datasets, addressing challenges in data loading, splitting, and memory optimization * You will develop and implement robust evaluation frameworks for complex biological models, ensuring data integrity and preventing leakage across dataset splits Who We're Looking For: * You have a Bachelor's in Computer Science, Machine Learning, or a related technical field * You have 3+ years of experience in developing and implementing deep generative learning models * You have experience pre-training models and are proficient in distributed computing environments * You are proficient in Python and have expertise in at least one major deep learning framework (PyTorch, TensorFlow, or JAX) * You have experience with deep learning and generative architectures such as transformers, diffusion models and autoencoders * You are skilled in working with terra-scale datasets and scaling models to billions of parameters * You have a strong understanding of machine learning fundamentals, including various model architectures, optimization techniques, and evaluation metrics * You have experience in designing and implementing efficient data pipelines for processing and managing large datasets * You are experienced in developing robust evaluation frameworks and ensuring data integrity in machine learning projects * You are experienced in code organization, version control, and collaborative software development practices. Who You Are: * You have excellent problem-solving skills and the ability to quickly adapt to new challenges * You exhibit a proactive approach to problem-solving, thinking beyond the specific task, taking ownership of challenges, and pride in solving them * You have a mature mindset in ambiguous situations, helping to frame questions and seek clarity while making decisions in the face of uncertainty * You have excellent communication skills and can clearly articulate complex technical concepts * You are motivated by making a real impact and are committed to tackling problems of significant consequence with determination and creativity Bonus points * You have experience applying machine learning to biology or chemistry * You have contributed to open-source machine learning projects or published research papers in the field of AI/ML * You have experience optimizing machine learning models for high-performance computing environments * You are familiar with ML-Ops practices and tools for managing ML experiments and deployments Our Values ❤️ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions. 🏆 Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards. 🚀 Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of our patients and the broader community. 📣 Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner. 🎮 Fun: We believe that life is too short to not have fun. That's why we're committed to creating an engaging and enjoyable work environment. Our goal is to create a workplace that is fun, rewarding and fulfilling. What We Offer * We encourage new and different ideas, creativity and contrarian thinking. * You own your day-to-day management. What we care about is that we all hit our milestones. * Competitive salary and equity in a growing, well-funded startup * Excellent medical, dental, and vision coverage * Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you * We are looking forward to further shaping our culture with early team members. You'll have a chance to make your mark! Compensation Range: $110K - $250K

Job 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: The Dating Outcomes group is responsible for ensuring people see their most compatible matches, helping them better present themselves, and even starting a conversation when they match with someone. In short, we help people go on dates! We are hiring ML practitioners to help us build the foundations of an AI first dating experience using the latest advancements in the field leveraging Hinge’s years worth of preference data. You can expect to work on recommendation systems end to end, experiment with using LLMs, photo and mixed input embedding models as well as building and deploying real time predictive models that directly impact millions of users' experience. This is a fast-growing team and you will get a chance to own and define the strategy, vision, and plan for how to accelerate machine learning at Hinge.Responsibilities • Own and contribute to foundational models (e.g. CLIP embeddings) that powers our recommendations pipelines., • Contribute to the research and development of recommender models as well experiment with the latest ML innovations (e.g. LLM agents and transcription models), • Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering impact to our daters incrementally., • Collaborate closely with ML Engineers, Data Scientists, and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process., • Mentor and educate ML Engineers on current and up and coming research, technologies and best practices of doing ML at scale., • Perform other job-related duties as assigned.What We're Looking For, • Strong programming skills: Proficiency in languages like Python, Java or C++, • System design & architecture: Proven track record of training and deploying large scale ML models specially DNNs. Good understanding of distributed computing for learning and inference., • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, KubeFlow or W&B is a plus., • ML knowledge: Deep understanding of DNN architectures, track record of building, debugging and fine tuning models. Familiarity with PyTorch, TF, knowledge distillation, recommender systems are a plus., • Dev-ops skills: The ability to establish, manage, and use data and compute infrastructure such as Kubenetes and Terraform., • Data engineering knowledge: Skills in handling and managing large datasets including, data cleaning, preprocessing, and storage. Deep understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow., • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds.., • Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation, • Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes., • 3+ years of experience, depending on education, as an MLE., • 2+ years of experience working on a cloud environment such as GCP, AWS, Azure, and with dev-ops tooling such as Kubernetes, • 1+ year of experience leading projects with at least 1 other team member through completion., • 2+ years of experience for designing and developing online and production grade ML systems. #Hinge

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 DescriptionVoleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. As a Staff Software Engineer on our Trading Platforms Engineering team, you will be developing the company's production trading systems and the data pipelines that drive our machine learning in both production and research. You will be expected to work closely with both our finance and research teams to contribute to a platform that supports a diverse set of requirements and complex trading behaviors. Your Team We look for brilliant people with a passion for solving problems through innovation and engineering fundamentals. You’ll work in a collaborative environment that encourages creative thinking and efficient implementation. We embrace experimentation. You’ll work alongside experienced engineers recruited from leading technology companies and universities. You and your team will collaborate closely with top machine learning researchers. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. The people who shape our company come from other backgrounds, including concert music performances, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more.Responsibilities • Design real-time distributed trading systems that place orders across a global set of markets and asset classes (Go / C++), • Build and optimize large-scale data infrastructure and stream processing systems for historical and real-time machine learning feature pipelines (Python/Airflow/Go/beam), • Own observability and remediation tooling used to analyze trading performance and risk (Go / Python / React), • Integrate with new assets and markets and drive clarity on the resulting requirements, • Improve the resilience and performance of our trading systems, • Develop tooling to integrate data from diverse vendors, unifying symbol mappings for data consistency, • Lead company spanning complex projects. Collaborate across research, legal, trading, finance operations data, and infra teams to deliver end-to-end trading systems, • Mentor and develop other engineers on the team, and share your practices and knowledge with the team and companyRequirements, • Computer Science Degree or equivalent experience, • 7+ years of software engineering experience building high-performance systems, • Experience operating and scaling mission-critical, large-scale production systems in languages such as Python, Go and C++, • Excellent communication and project management skills in complex technical domains, • Track record mentoring engineers and leading technical directionPreferred Qualifications, • Expertise in building and optimizing data pipelines (e.g., Apache Airflow, Spark, Kafka), • Experience with profiling and performance optimizations on distributed systems. (Go / C++)

Job Description Location: NYC In-person 5 days/week Seniority: 5+ years of experience in platform engineering or infrastructure development Compensation: * Salary: 200K to 275K * Competitive equity * Visa sponsorship not available (U.S. citizens only) Employment Type: Full-time About the Role As a Platform Engineer, you will play a critical role in building and maintaining the infrastructure that powers core AI technologies. You will work at the intersection of AI, infrastructure, and enterprise systems, ensuring that platforms are reliable, scalable, and secure, enabling product and AI teams to deliver cutting-edge AI-native applications. This position offers an opportunity to own large-scale deployments, collaborate with cross-functional technical teams, and operate in regulated enterprise environments where reliability and performance are paramount. ️ Core Responsibilities * Design, build, and maintain the foundational infrastructure and services that power large-scale AI platforms. * Develop and optimize systems that enable seamless AI model integration into production environments. * Create and manage APIs, microservices, and data pipelines to support data processing, analytics, and AI model operations. * Build advanced Retrieval-Augmented Generation (RAG) systems, including optimized embeddings and indexing. * Implement and maintain security, compliance, and monitoring frameworks across all environments. * Collaborate with AI researchers and data scientists to improve MLOps frameworks for model deployment and lifecycle management. * Work closely with forward-deployed engineers to meet client-specific infrastructure needs. * Support product engineers by developing reusable platform components and scalable backend services. * Participate in architectural planning and contribute to the long-term technical vision of the platform. * Deploy and manage solutions across AWS GovCloud, on-prem, and multi-cloud environments (AWS, GCP, Azure). Qualifications Experience and Background * 3+ years of software development experience focusing on scalable, distributed systems. * 5+ years of experience building platforms supporting AI or ML model deployment and management. * Proven experience deploying across on-prem and cloud environments (AWS, GCP, Azure). * Hands-on on-prem deployment experience required. * Previous work in Series B to pre-IPO startups with high growth and evolving infrastructure. * Experience in regulated industries (finance, healthcare, government, or enterprise) is a strong plus. * Exposure to enterprise software deployment or consulting environments. * Bachelor's degree in computer science, Engineering, or related technical field. Technical Skills * Deep expertise in AWS, with working knowledge of GCP and Azure. * Strong proficiency in Python, including deployment of scalable systems using FastAPI. * Solid understanding of microservices architecture, API design, and distributed systems. * Familiarity with data analytics platforms or business intelligence tools. * Working knowledge of machine learning concepts and MLOps infrastructure. * Experience with containerization (Docker, Kubernetes) and CI/CD automation. Soft Skills and Attributes * Excellent communication and collaboration abilities. * Extreme ownership takes initiative and drives work to completion. * Strong problem-solving and creative thinking skills. * Reliable, detail-oriented, and highly accountable.

Job Description Boosted.ai is building AI purpose-built for finance to help teams do more. Our mission is to optimize investing and boost productivity. We're already trusted by leading enterprises and developers with over $5T under management with Boosted.ai. From the fastest growing hedge funds to global financial institutions, our tool lets our users stay ahead of the competition with AI that works for them. We believe that modern investment professionals will win the future of finance by using the best tools; a unique competitive edge powered by data, experimentation, and automation. Boosted.ai is the platform they use to cut through data overload, outpace competitors, and reclaim their time. We're looking for sharp, low-ego people to help teams find their edge. Why is Boosted.ai the best place to work? • Customers love the product (adopted by many of the biggest financial institutions and rapidly expanding to more firms), • We're growing a lot (5x in the last year), • Incredible culture (our customers keep applying to work here) Boosted.ai is seeking a highly motivated and results-driven Senior Software Engineer to play a pivotal role in designing and building advanced software solutions that empower organizations. Working closely with senior members of Boosted.ai's engineering and management teams, the ideal candidate will excel at developing scalable, high-performance systems to support our cutting-edge analytics platform. As part of a dynamic and collaborative engineering team, this role requires someone excited by tackling complex challenges, strategizing innovative approaches, and delivering robust, impactful solutions. You will thrive in a fast-paced environment, owning projects from ideation to implementation, writing clean and maintainable code, and contributing to our ambitious growth goals. The ideal candidate is a results-oriented engineer with a strong technical foundation, outstanding problem-solving skills, and a history of delivering high-quality software. You will be responsible for leading key initiatives, mentoring junior developers, and collaborating cross-functionally to scale our platform and deliver value to clients. If you are a highly motivated, entrepreneurial self-starter with a natural curiosity and a passion for technology – we'd love to chat! What You'll Do • Take ownership of the full software development lifecycle, including designing, developing, testing, and maintaining software solutions., • Collaborate with cross-functional teams, including product managers, data scientists, and other engineers, to develop scalable and high-performance systems., • Partner with clients and internal stakeholders to understand their needs and design solutions that optimize workflows and address complex technical challenges., • Work with large datasets, ensuring efficient processing, manipulation, and analysis., • Contribute to architectural decisions, proposing and implementing innovative solutions to technical problems., • Mentor and guide junior team members to promote growth and knowledge sharing within the engineering team., • Continuously evaluate and integrate emerging technologies to improve system performance and scalability., • Bachelor's, Master's, or PhD in Computer Science, Software Engineering, or a related field., • 3+ years of professional programming experience, with a strong focus on Python., • Solid understanding of data structures, algorithms, and their applications., • Experience building and optimizing distributed, scalable systems and high-performance applications., • Proficiency in working with large-scale datasets and implementing solutions for efficient data processing., • Strong problem-solving skills with the ability to make quick, thoughtful decisions in a fast-paced environment., • Excellent communication skills with a proven ability to collaborate effectively in a team-oriented environment. We are guided by a set of values that are at the core of our actions and define our culture. These principles are the foundation of our work, and we are committed to upholding them in everything we do. • Collaborative – We value our team and know that success can only come from working together, • Client Centric – Our focus is always on our clients and consistently delivering them value, • Action Oriented – We remove barriers and we seek to improve in measurable ways, • Accountable – We are accountable for ourselves, and we hold each other accountable We want our benefits to reflect our values and offer the following to full-time employees: • Flexible (Unlimited) Paid Time Off, • Medical, Dental, and Vision benefits for you and your family, • Life Insurance and Disability Benefits, • Access to a 401(k) retirement savings plan (for U.S. employees), • Paid Parental Leave, • Free access to use Boosted.ai Alfa™ to make money Be you, with us We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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