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Job Description Location: New York, NY (Flatiron District) Employment Type: Full-time On-site: 5 days/week in-person (Non-negotiable) About the Role Our client is a high-growth, venture-backed defense tech company working at the cutting edge of signal processing, machine learning, and embedded systems. As a Machine Learning Infra Engineer, you will design and build core infrastructure from scratch to handle petabytes of radio spectrum data. This is a high-ownership role for an experienced engineer who has strong opinions on tooling best practices and can make informed, future-proof decisions about architecture. This team operates with a high bar for talent, a culture of high growth and high ownership, and requires an in-person presence to foster collaboration. What You'll Do • Scale distributed data storage and write Python APIs to make loading massive datasets (e.g., 30GB) feel instantaneous., • Set up orchestration for model training on GPU clusters, including versioning and artifact deployment., • Explore creative ways to combine relational and vector-based search queries to enable researchers to quickly discover the most relevant data., • 2-7 years of experience in ML Ops, building platforms that track, package, and ship models in production., • Experience designing and implementing data infrastructure from scratch (databases, cloud storage, cloud compute)., • Strong experience with AWS, including networking, S3, Sagemaker, RDS, ECS, Lambda, and related infra-as-code tools (AWS CDK)., • Experience managing a production-grade Python codebase used by other people., • Ability to deal with larger-than-memory data inexpensively without setting up a cluster., • Experience with ML experiment tracking, model versioning, and artifact deployment (e.g., MLflow)., • Salary: $130K - $210K, • Equity: 0.05% - 0.2%, • Visa sponsorship is not available (U.S. citizens only)., • Relocation support is offered for strong candidates moving to NYC. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

Job 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 CoreTeam 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 DescriptionAbout Us:Live experiences help people cross today's digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that's bringing us together. To fulfill Gametime's mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.The Role: The Machine Learning Platform team is responsible for building the core components necessary to support and accelerate the full machine learning lifecycle. In this role, you will work closely with ML Engineers and Data Scientists as well as the Data Platform and Backend Engineering teams to maximize the impact of ML. At Gametime, the modeling teams are expected to work full-stack and end-to-end. This requires reliable, powerful infrastructure and abstractions provided by the Machine Learning Platform team. This is an opportunity to join as a founding member of the team and help shape its future direction. Above & Beyond: The Impact You'll Make: • Collaborate with Machine Learning Engineers and Data Scientists to understand their platform needs and translate them into powerful, generalized solutions, • Own existing platform systems and develop the next generation of tools (e.g. training platform, feature platform, inference platform), • Architect a platform that boosts overall model iteration speed and allows Machine Learning Engineers and Data Scientists to work in a self-serve manner, • Improve the reliability around all components of an ML platform capable of powering critical product features used by millions of users Always Be Curious: Skills You've Learned Along The Way:Technical Skills: • Proven track record in designing and implementing mission-critical, high-reliability systems with rapid deployment, • Outstanding programming proficiency, with particular expertise in Python, • Strong working knowledge of AWS or equivalent cloud platforms, • Hands-on experience with industry-standard tools and technologies (e.g., Kafka, Docker, gRPC, DynamoDB, Redis, Temporal, Snowflake, Airflow, SQL), • Keen interest in machine learning and its associated technologies (such as PyTorch, Scikit-Learn, XGBoost, Jupyter), preferably with some practical experienceInterpersonal Skills:, • Ability to collaborate effectively across teams and communicate with key stakeholdersProblem-Solving and Decision-Making:, • A proactive self-starter with a strong ability to learn quickly and work independently, demonstrating the desire and readiness to manage an increasing level of responsibility One Team, One Dream: What We Need To Work Together: • Experience: 5+ years of industry experiencePreferred Qualifications:

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

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

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

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

Job Description Continua has launched an AI agent that users can invite into group conversations to make planning, coordination, and information retrieval effortless. We were recently written up in this TechCrunch article. We've seen rapid growth over the last quarter, and are looking for someone who can help us improve the quality of our agent experience and scale to the next level. This position is based at our office in New York, NY. We are on-site 3+ days per week. As a Full-Stack Software Engineer, you will be responsible for building and scaling our AI-powered group conversation platform. You'll work across our tech stack, including Python and Go backend services, Postgres databases, and React frontend applications. You'll collaborate closely with the rest of our team to integrate cutting-edge AI models into user-facing features that delight our rapidly growing user base. We're seeking an experienced engineer who can balance technical excellence with product intuition, making smart UX decisions that help us move quickly in a fast-paced startup environment. What you’ll work on: * Designing and implementing robust APIs and backend services using Python and Go to power our AI agent platform * Designing and optimizing how our data is stored to handle our growing user base * Working with our ML engineers to integrate AI models into production systems, writing the code that connects our models to user experiences * Building responsive, intuitive React applications using Tailwind CSS * Partnering with our CEO, product manager, and designer to translate requirements into technical solutions, using your judgment to make good UX decisions when moving fast * Ensuring our applications can handle rapid user growth while maintaining excellent performance and reliability Who you are: * 5+ years of full-stack software engineering experience * Solid experience with SQL and database design, preferably with Postgres experience * Experience building modern web apps with React and CSS frameworks like Tailwind * Strong product intuition and design fundamentals * Proven ability to take ownership and thrive in a fast-moving startup environment Nice-to-haves: * Experience integrating machine learning models into production applications * Familiarity with Google Cloud Platform (GCP) and infrastructure tools like Terraform * Background in AI/ML or natural language processing * Experience building real-time or conversational applications * Previous experience at high-growth startups or building products from 0 to 1 A little about us: Our team is a fantastic bunch of accomplished engineers and researchers from Google, Disney, and various AI startups. We're pretty clued in on the technology side and have a strong vision of how the transformative technology of the last few years along with our own secret sauce (not just a ChatGPT wrapper) can help a huge number of people. Compensation & Benefits: We compensate with a competitive salary and equity, health benefits, 401k, and the opportunity to help shape the future of AI agents during this transformative moment in computing history! Our opportunities are on-site, 3 days per week. To apply: To be considered for an opening, please submit your application at the link below. We welcome referrals! If you know someone exceptional, please email us at .

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

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

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

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

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

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

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. About the Opportunity We're seeking an accomplished Staff Machine Learning Infrastructure Engineer to join StubHub's Data Engineering & Analytics team as a high-impact individual contributor focused on machine learning infrastructure and real-time inference systems. You'll architect and build the foundational ML platforms that power recommendation systems, pricing optimization, and personalization across StubHub's product. As a Staff-level IC, you'll operate as a technical force multiplier, setting technical direction for ML infrastructure across the organization. You'll lead through influence rather than management, advocating for long-term technical progress while balancing organizational needs. Your work will span strategic initiatives measured in months and years, focusing on high-leverage technical decisions that enable entire teams to be more effective. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Los Angeles, CA Strategic NeedWe have increasing needs to scale our machine learning capabilities to power personalized experiences, dynamic pricing, and intelligent recommendations across our platform. Our current ML infrastructure requires modernization to support real-time inference at scale, improve feature engineering workflows, and enable faster model deployment and iteration cycles. Additionally, we need to create the foundational data model along with the corresponding data pipelines, and build shared tooling to ease the process of developing and operating high quality trustworthy data assets. What You'll Do As a Staff Enginner focused on ML Infrastructure, you'll work across four key dimensions: Setting Technical Direction • Architect ML infrastructure strategy that aligns technical approaches across Data Science, ML Engineering, and Platform teams, • Drive consensus on technical vision for feature stores, inference services, and model lifecycle management, • Advocate for long-term technical progress while balancing immediate organizational needs, • Prototype and investigate ambiguous, high-impact ML infrastructure problems, • Build production-grade inference services with sub-100ms latency, intelligent caching, and 99.9% uptime SLAs, • Design model lifecycle management systems including versioning, A/B testing, rollback capabilities, and performance monitoring, • Modernize recommendation systems from legacy SQS-based architecture to scalable, real-time streaming solutions, • Provide engineering perspective in high-level organizational discussions about ML strategy, • Mentor engineers across the platform, actively sponsoring promising team members, • Inject technical context into critical decision-making processes, • Connect different team efforts to ensure ML infrastructure initiatives succeed, • Handle behind-the-scenes work that keeps critical ML projects moving forward, • Expedite high-priority ML infrastructure needs across the organization, • Ensure important strategic work gets completed even when it spans team boundaries What You've Done • 8+ years of relevant software or data engineering development experience in a fast-paced, high growth environment, • 3+ years of experience with machine learning infrastructure, MLOps, or ML platform engineering, • Proven track record of setting technical direction and leading complex, multi-team initiatives, • Strong programming and analytical ability with expertise in Python, Scala, or Java, and infrastructure-as-code, • Experience with feature store services and how they interoperate between batch and live inference systems, • Experience with live inference services including caching, SLAs, and performance optimization for production ML workloads, • Experience with model lifecycle management including versioning, A/B testing, and rollback capabilities, • Experience with streaming systems (Spark, Kafka) and how they relate to overarching ML platform architecture, • Experience with cloud-based ML platforms such as AWS SageMaker, Google Vertex AI, or Azure ML, • Technical leadership through influence rather than formal management authority, • Strategic thinking with ability to balance long-term technical vision with immediate organizational needs, • Cross-functional collaboration skills to work effectively with Data Science, Product, and Engineering teams, • Communication skills to inject technical context into high-level organizational discussions, • Problem-solving approach for ambiguous, high-impact technical challenges, • Experience with real-time recommendation systems and personalization platforms at scale, • Knowledge of ML model serving frameworks (TensorFlow Serving, TorchServe, Seldon, etc.), • Experience with A/B testing frameworks and experimentation platforms, • Experience with distributed computing frameworks (Ray, Dask, etc.), • Knowledge of ML security and privacy considerations, • Track record of technical writing or speaking at conferences about ML infrastructure What We Offer:, • Accelerated Growth Environment: Immerse yourself in an environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Enjoy a rewarding compensation package that includes enticing stock incentives, aligning with our commitment to recognizing and valuing your contributions., • Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed.

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

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

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

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

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

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

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

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: Mid - Senior Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence:Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. Requirements: Degree in Computer Science, Engineering, Statistics, or a related technical field. Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings. Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems. Strong foundational understanding of algorithmic complexity and data structure optimization. Excellent problem-solving, collaboration, and communication abilities. Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects. Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices. Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team. Ensure all AI implementations are compliant with ethical guidelines and data privacy standards. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

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

Job Description At Hugging Face, we’re on a journey to democratize good AI. 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. Our open-source libraries have more than 400k+ stars on Github. About the Role As an open-source Machine Learning Engineer, you will work to improve the open-source machine learning ecosystem. You will mainly work with existing open-source libraries, such as Transformers, Datasets, or Accelerate, and you will interact with users and contributors of the broad open-source machine learning ecosystem. We'll brainstorm with you to put you in a position to do the work that interests you and that is impactful. You'll get to foster one of the most active machine learning communities, helping users contribute to and use the tools that you build. You'll interact with Researchers, ML practitioners and data scientists on a daily basis through GitHub, our forums, or slack. About you If you love open-source, are passionate about making complex technology more accessible, and want to contribute to one of the fastest-growing ML ecosystems, then we can't wait to see your application! If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and background complement one another. We're happy to consider where you might be able to make the biggest impact. More about Hugging Face We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education. We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off. We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed. We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside. We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community. Requirements Please provide a cover letter mentioning why you would like to work in open-source at Hugging Face. We encourage you to mention your skills, potential expertise, and topics on which you would like to work.

Job DescriptionSalary: $130,000 - $150,000 Location: Remote Job Type: Full-time About Us! At Ready Computing, we are driven by innovation and a passion for delivering transformative solutions in healthcare technology. Our fully remote environment allows us to collaborate with talent across 30+ states and internationally, fostering a diverse and dynamic team culture. We provide an inclusive workplace where professional development thrives, offering career path certifications and continuing education support. Our comprehensive benefits package includes four health plan options, 401K matching, flexible paid time off, wellness programs, and financial planning services, ensuring both personal and professional well-being for our employees. Were looking for an Innovation Engineer who is passionate about applying emerging technologies, especially AI and machine learning, to real-world challenges. This role is ideal for an experienced engineer who thrives at the intersection of cloud, code, and experimentation. Youll be a hands-on contributor to some of our most forward-looking initiatives, working across GCP and AWS to design and deliver solutions that drive meaningful impact. From integrating large language models to building internal tools that unlock team productivity, youll play a key role in helping Ready Computing stay ahead of whats next. What Youll Do Lead and Deliver Innovation Projects • Own end-to-end delivery of innovation-focused initiatives from discovery and prototyping to development and launch, • Collaborate with internal teams and stakeholders to define technical approaches that solve complex business challenges, • Jump into projects wherever support is needed from architecture to scripting, automation, or integration work, • Maintain flexibility across use cases, adapting quickly to new ideas and technical domains Design & Implement AI-Enabled Solutions • Build and deploy AI-powered applications using platforms such as Vertex AI, LangChain, and managed LLM APIs, • Implement retrieval-augmented generation (RAG), prompt orchestration, and AI tooling integrations to power automation and insights, • Support data preparation, model integration, and scalable deployment of AI/ML services, • Stay informed on new developments in generative AI and machine learning, and explore how they can be applied internally Cloud Architecture & Engineering • Architect and implement cloud-native solutions using services from Google Cloud Platform (GCP) and AWS, • Set up infrastructure, networking, IAM, and automation pipelines aligned with cloud best practices, • Work with tools like Terraform, Cloud Build, Cloud Functions, Lambda, and container-based deployments, • Troubleshoot and support environments as part of larger project delivery or rapid innovation cycles Experimentation & Prototyping • Rapidly prototype internal tools, POCs, or lightweight applications to test emerging concepts, • Evaluate new platforms, frameworks, and approaches to help define our innovation technology stack, • Pilot internal innovation efforts that accelerate delivery and productivity across the company Collaboration & Communication • Translate complex technical concepts into understandable language for non-technical audiences, • Work closely with product, engineering, and operations to align on goals and execution, • Document best practices, architecture decisions, and outcomes from innovation projects, • Be an internal champion for new ideas, helping foster a culture of curiosity and continuous learning What You Bring • Strong hands-on experience with Google Cloud Platform (GCP) and AWS, including compute, storage, networking, and serverless/cloud-native services, • Proven track record of contributing to or delivering AI/ML projects, ideally using platforms like Vertex AI, LangChain, or LLM APIs, • Proficiency in at least one programming language such as Python, Java, or JavaScript, • Ability to build, integrate, and troubleshoot APIs, automation scripts, or lightweight internal tools, • Comfortable navigating ambiguous problems and fast-paced innovation cycles with minimal direction, • Strong cross-functional communication skills; able to explain technical concepts to non-technical stakeholders, • Curious and adaptable, with a proactive mindset and willingness to explore new technologies and domains, • Passionate about solving real-world problems with emerging tech like AI, automation, and cloud platforms, • Excited to collaborate across departments and take ownership of meaningful, high-impact projects Preferred Qualifications • BA/BS or equivalent work experience in Software Engineering, Computer Science, or a related field, • 5+ years of engineering experience across cloud, infrastructure, or AI projects, • Experience with platforms like Vertex AI, LangChain, SageMaker, or other AI/ML toolkits, • Familiarity with Agile development methodologies and collaborative prototyping, • Oral and written fluency in English Home Office Requirements • A minimum internet speed of 25 Mbps for downloads and 1.5 Mbps for uploads is required, • A private Wi-Fi network with a strong, unique password is necessary to access company data or systems, • The company provides a monthly internet stipend. New hires must complete a speed test during onboarding and update any default router passwords to ensure secure network access Why Join Us? Innovative & Impactful Work Your contributions will shape healthcare technology and improve patient outcomes Global Reach & Growth Opportunities Work with leading experts in healthcare IT and enterprise solutions Collaborative & Dynamic Culture Join a supportive team environment that values knowledge-sharing, mentorship, and career development Competitive salary and benefits package, including: • Four health plan options to fit your needs, • 401(k) matchingto help secure your financial future, • Flexible Paid Time Off (PTO) for work-life balance, • Wellness programs to support your mental and physical well-being, • Financial planning services to help you manage your future Ready to Apply? If youre excited about healthcare IT, system integration, and building next-gen interoperability solutions, wed love to hear from you! Apply now or contact for more information. Ready Computing is an equal opportunity employer. We do not discriminate with regard to race, color, religion, gender, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Job Description Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world. We are seeking an experienced Data Engineer to join our data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure using Dataiku. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization. Requirements • 8+ years of overall industry experience specifically in data engineering, • Strong knowledge of data engineering principles, data integration, and data warehousing concepts., • Strong understanding of the pharmaceutical/ Life Science domain, including knowledge of patient data, Commercial data, drug development processes, and healthcare data., • Proficiency in data engineering technologies and tools, such as SQL, Python, ETL frameworks, data integration platforms, and data warehousing solutions., • Experience with data modeling, database design, and data architecture principles., • Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms - AWS, Azure, • Strong analytical and problem-solving skills, with the ability to work with large and complex datasets., • Strong communication and collaboration abilities. Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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

Job Description Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are one of the highest-rated employers on Glassdoor. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you. • Mentorship and solution support to client-facing Data Engineers across key accounts, • Review data engineer work and proactively establish the adoption of best practices and frameworks that improve productivity and client satisfaction, • Work with the DevOps, MLE team to onboard and productionize Data Science models at scale., • Implement and manage production management processes around data ingestion, transformation, coding utilities, storage, reporting, and other data integration points., • Coordinate between onsite and offshore leadership for regular updates, • Engage key client stakeholders to, • Review and provide the best solutions on the existing or new architecture requirements., • Recommend strategies to improve resiliency, security, and optimize costs., • Analyse, architect, design, and actively develop analytics frameworks, data lakes, and other cloud-based data solutions., • Bachelor’s degree in Computer Science/or any relevant experience in Information systems., • 10 years of experience in the IT field with hands-on experience in system administration and automation, • 3-5 years of strong hands-on experience with AWS(or another cloud) in building a Data and Analytics platform on the cloud., • 1+ years of experience with deploying services on Kubernetes on-prem or on-cloud, • 3-5 years of strong hands-on expertise on Cloud (AWS/Azure/GCP) with strong experience in working with modern data and analytics frameworks, big data, and DevOps techniques, and is proficient with programming languages (like Python, Java, Scala)., • 1-2 yrs experience with Cloud data warehouse (Redshift, Snowflake, BigQuery), • Solid understanding of building Data Lakes on Cloud environments - Data Integration, Data Pipeline, Data compute, ML Models and Storage, etc., • Solid knowledge of and experience with Big data and Stream processing frameworks - Spark, Flink, or other, • Knowledge of delta lake or similar technology, • Exposure to operationalizing ML models @ scale on Cloud, • Solid understanding of DevSecOps and cloud security concepts and how to mitigate security risks in the cloud, • Must understand the Scrum Agile methodology and have worked on a Scrum team., • Knowledge of SQL, non-relational (NoSQL) databases, and Object Stores, • Good experience working on an onsite/offshore model, • Knowledge of networking, firewalls, load balancers, etc., • AWS Professional Architect Certification is preferred Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Job Description 📍 Working arrangement: United States (Remote - work from anywhere in the US) Build AI Systems That Make Finance Simpler, Smarter, and More Inclusive At BJAK, we’re using AI to make insurance and financial services easier to access, understand, and afford for millions across Southeast Asia. As a Founding AI/ML Software Engineer, you’ll help build the intelligent systems that power this mission - from personalized recommendations and fraud detection to automation and search. This is a remote role based in United States, working closely with our HQ in Malaysia and regional teams across Southeast Asia. You’ll join a fast-paced, flat team structure where your execution and ideas shape real-world outcomes every day. Why This Role Matters * Your work will directly impact user experience, efficiency, and platform intelligence * You’ll contribute to production-grade AI systems that serve millions * You’ll collaborate across functions and build scalable ML tools from the ground up * You’ll grow quickly in a lean, high-impact engineering environment What You’ll Do * Work with product, data, and engineering teams to define ML goals and technical strategies * Design, build, and deploy machine learning models that power personalization, automation, and insight generation * Manage the ML lifecycle: data preprocessing, feature engineering, model training, evaluation, and deployment * Build scalable ML infrastructure and deployment pipelines * Integrate ML outputs into user-facing products and backend systems * Stay current with AI/ML trends and apply relevant innovations into our stack * Contribute to debugging, testing, and optimization of production ML systems You’ll Thrive Here If You... * Take full ownership - you don’t just build models, you make sure they drive real-world results * Are a self-starter who figures things out fast, even when there’s no manual or roadmap * Move with urgency - you adapt quickly, ship fast, and improve even faster * Own problems end-to-end - from messy data to deployment, and everything in between * Bring a team-first attitude - you’re humble, helpful, and raise the bar for those around you * Push through chaos - startup pace, shifting priorities, and ambiguity don’t throw you off * Learn obsessively and share openly - you level up fast and help others do the same Requirements * Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field * Strong proficiency in Python is a must * 2 - 4 years of experience in machine learning or backend software development * Experience using frameworks like TensorFlow, PyTorch, or Scikit-learn * Solid understanding of ML workflows: data cleaning, model development, tuning, evaluation * Familiar with model deployment, API development, or real-world ML integration * Experience with tools like Google Colab, Jupyter, and cloud ML platforms * Strong analytical, problem-solving, and communication skills * Must be based in US and open to remote collaboration across time zones Nice to Have * Experience with NLP, computer vision, or recommendation systems * Familiarity with cloud services (e.g., AWS, GCP, Azure) * Exposure to Docker, Git, or CI/CD tools * Background working in a high-growth startup or agile product environment What You’ll Get * Competitive salary and performance-based bonuses * Flexible, fully remote work arrangement from anywhere in the US * Direct impact - your work reaches millions of users across Asia * Flat structure - your voice is heard, your contributions are seen * Opportunities for rapid personal and technical growth * Regional exposure and collaboration across Southeast Asia About BJAK BJAK is Southeast Asia’s largest digital insurance platform, helping millions of users access affordable, transparent financial protection. Headquartered in Malaysia, with operations in Thailand, Taiwan, and Japan, we simplify financial services using AI, automation, and smart APIs. We're building the next generation of intelligent systems to make finance better, faster, and fairer for everyone. If you’re excited about building ML systems that solve real-world problems at scale - and thrive in a high-impact, mission-driven team - we’d love to hear from you.

Job DescriptionSenior Software Engineer (AI Health-Tech SaaS, Remote) Jaan Health's team is growing! We're looking for several experienced Senior Software Engineers to join us on our mission to transform healthcare by powering proactive care at population scale. Who We Are: Jaan Health is a rapidly growing software company focused on leveraging accessible technology and artificial intelligence (AI) to drive better healthcare outcomes for patients while addressing the increasing cost and profitability challenges facing the healthcare industry. Our SaaS platform, Phamily, provides healthcare systems and physicians with an AI-powered virtual care platform that enables them to efficiently and easily manage the chronic conditions and general healthcare needs of their patients between office visits, while also increasing their own reimbursement and financial sustainability in the process. Phamily helps transform healthcare from reactive episodic treatment to proactive care management. We've helped hundreds of thousands of patients since our founding. We need your help to serve even more patients and revolutionize healthcare delivery! What You'll Be Doing: We are looking for several entrepreneurial Senior Software Engineers to join our lean, mean, innovative team of people on a mission to build the best AI-driven smart care management platform on the planet. Who You Are: • Passionate about building products that make a difference, • Takes ownership and thrives in startups or small entrepreneurial teams, • Loves taking features through rapid prototypes, MVP, launch, iterate & scale, • Self-directed quick learner and analytical problem solver, • Clear architectural thinker who writes clean code, • Makes it a habit to refactor and continuously improve codebases, • Perfects every detail, but limits the number of details, • High-signal communicator who asks good questions, • Good collaborator who creates alignment with team members, • Bonus: Interest in healthcare, messaging, or data-centric SaaS products, • Bonus: Understanding of data science, machine learning, AI, NLP & LLMs, • Full lifecycle software engineering experience, • Clean high-quality production code, • Good UX / product design sense, • Javascript, HTML, CSS, • Vue.js / React / SPA (Single Page Apps), • Ruby on Rails / Python / Elixir, • SQL / PostgreSQL / MySQL, • TDD / RSpec / Playwright, • AWS, GCP, Docker, Kubernetes, • Healthcare, SaaS, or startup experience, • Bonus: Data ingestion, HL7 / FHIR integration Remote, New York, Chicago, Atlanta, Seattle Our Compensation & Benefits: • Competitive compensation commensurate with experience, • Potential to earn equity based on performance, • We embrace a remote working environment, • 100% Employer-Paid Medical and Dental coverage for employee and dependent, • Vision coverage for employee and dependent at a nominal cost, • Paid Maternity Leave, • FSA and Dependent Care saving account options, • 401(k)

Job Description We at Continua have built an AI agent that users can invite into group conversations to make planning, coordination, and information retrieval effortless. We recently raised a $8M seed round and we know we're on to something! We've seen extremely rapid growth over the last quarter, and are looking for someone who can help us improve the quality of our agent experience and scale to the next level. This a hybrid position that can be based in Seattle, WA or New York, NY. What you'll do: You'll work on building and improving the best LLM group chat experience there is. This includes: * Fine-tuning models to boost conversational quality and improve scalability. * Owning new ideas for engaging features and working across the stack (i.e. not just in Jupyter notebooks) to take them from concept to production. * Identifying novel ways to build a "memory" which leads to a personalized and unique experience for our users. * Leading technical decision making to find solutions which are both innovative and practical. Who you are: You're an experienced machine learning engineer with broad knowledge and skills in natural language processing (NLP). You're detail-oriented when it matters to make sure things get done right, but also know how to strike the balance between speed and perfection in a fast-moving startup environment. You: * Know the pitfalls and tricks for building with LLMs, especially RAG systems * Have experience with the level of obsession over detail needed to produce high quality ML systems. * Are experienced and comfortable building backend systems and working across a code base, not just in Jupyter notebooks. * Are experienced writing Python (knowing Go is a plus) * You know how to work independently to handle ambiguity We're willing to compromise on years of experience for the right candidate who brings energy, intelligence, and a passion for our mission. A little about us: Our team is a fantastic bunch of accomplished engineers and researchers from Google, Slack, Disney, and AI startups. We're pretty clued in on the technology side and have a strong vision of how the transformative technology of the last few years along with our own secret sauce (not just a ChatGPT wrapper) can help a huge number of people. Compensation & Benefits: We compensate with a competitive salary and equity, health benefits, 401k, and the opportunity to help shape the future of AI agents during this transformative moment in computing history! To apply: To apply, please complete the application and answer the short questions that follow. The more you answer, the better. If something doesn’t apply to you, feel free to say “N/A.” We welcome referrals! If you know someone exceptional for this role, please email us at .

Job Description 📍 Working arrangement: United States (Remote - work from anywhere in the US) Build AI Systems That Make Finance Simpler, Smarter, and More Inclusive At BJAK, we’re using AI to make insurance and financial services easier to access, understand, and afford for millions across Southeast Asia. As a AI/ML Software Engineer, you’ll help build the intelligent systems that power this mission - from personalized recommendations and fraud detection to automation and search. This is a remote role based in United States, working closely with our HQ in Malaysia and regional teams across Southeast Asia. You’ll join a fast-paced, flat team structure where your execution and ideas shape real-world outcomes every day. Why This Role Matters * Your work will directly impact user experience, efficiency, and platform intelligence * You’ll contribute to production-grade AI systems that serve millions * You’ll collaborate across functions and build scalable ML tools from the ground up * You’ll grow quickly in a lean, high-impact engineering environment What You’ll Do * Work with product, data, and engineering teams to define ML goals and technical strategies * Design, build, and deploy machine learning models that power personalization, automation, and insight generation * Manage the ML lifecycle: data preprocessing, feature engineering, model training, evaluation, and deployment * Build scalable ML infrastructure and deployment pipelines * Integrate ML outputs into user-facing products and backend systems * Stay current with AI/ML trends and apply relevant innovations into our stack * Contribute to debugging, testing, and optimization of production ML systems You’ll Thrive Here If You... * Take full ownership - you don’t just build models, you make sure they drive real-world results * Are a self-starter who figures things out fast, even when there’s no manual or roadmap * Move with urgency - you adapt quickly, ship fast, and improve even faster * Own problems end-to-end - from messy data to deployment, and everything in between * Bring a team-first attitude - you’re humble, helpful, and raise the bar for those around you * Push through chaos - startup pace, shifting priorities, and ambiguity don’t throw you off * Learn obsessively and share openly - you level up fast and help others do the same Requirements * Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field * Strong proficiency in Python is a must * 2 - 4 years of experience in machine learning or backend software development * Experience using frameworks like TensorFlow, PyTorch, or Scikit-learn * Solid understanding of ML workflows: data cleaning, model development, tuning, evaluation * Familiar with model deployment, API development, or real-world ML integration * Experience with tools like Google Colab, Jupyter, and cloud ML platforms * Strong analytical, problem-solving, and communication skills * Must be based in US and open to remote collaboration across time zones Nice to Have * Experience with NLP, computer vision, or recommendation systems * Familiarity with cloud services (e.g., AWS, GCP, Azure) * Exposure to Docker, Git, or CI/CD tools * Background working in a high-growth startup or agile product environment What You’ll Get * Competitive salary and performance-based bonuses * Flexible, fully remote work arrangement from anywhere in the US * Direct impact - your work reaches millions of users across Asia * Flat structure - your voice is heard, your contributions are seen * Opportunities for rapid personal and technical growth * Regional exposure and collaboration across Southeast Asia About BJAK BJAK is Southeast Asia’s largest digital insurance platform, helping millions of users access affordable, transparent financial protection. Headquartered in Malaysia, with operations in Thailand, Taiwan, and Japan, we simplify financial services using AI, automation, and smart APIs. We're building the next generation of intelligent systems to make finance better, faster, and fairer for everyone. If you’re excited about building ML systems that solve real-world problems at scale - and thrive in a high-impact, mission-driven team - we’d love to hear from you.

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

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

Job DescriptionWe are looking for a skilled Senior Software Engineer to design and implement innovative software solutions. This role involves creating scalable systems, optimizing performance, and contributing to cutting-edge technologies, including machine learning and vector databases. Join our team in New York, New York, and help shape the future of software development. Responsibilities: • Design and develop scalable software solutions using Python and modern architectural patterns., • Build and maintain distributed systems with a focus on multi-threaded programming., • Develop and integrate RESTful APIs to ensure seamless communication between applications., • Optimize data storage and retrieval using MongoDB and Redis., • Explore and implement vector databases such as pgvector and timescale., • Collaborate on machine learning initiatives, including the application of large language models (LLMs)., • Utilize cloud platforms like Amazon Web Services (AWS) to enhance system performance and scalability., • Conduct thorough testing and debugging to ensure high-quality software delivery., • Stay updated on emerging technologies to drive innovation within the team.• Extensive experience in software design and architectural patterns., • Proven ability to build scalable systems and distributed applications., • Advanced proficiency in Python programming., • Strong knowledge of multi-threaded programming techniques., • Expertise in working with RESTful APIs., • Hands-on experience with databases such as MongoDB and Redis., • Interest or experience in vector databases and related technologies., • Familiarity with machine learning concepts and large language models (LLMs).

Job Description Vestwell is the financial technology company powering the new savings economy. The New York City-based fintech platform redefines how people save for the critical aspects of life across retirement, education, and healthcare savings needs. Today, Vestwell enables over 350,000 businesses and nearly 1.5 Million active savers, with over $30 billion in assets saved across all 50 United States. Vestwell offers a range of products, including workplace-delivered retirement plans, employer-offered student loan repayment benefits, and various savings accounts for education, emergencies, and individuals with disabilities. Vestwell's platform serves a diverse clientele, including financial advisers, employers, third-party administrators, financial institutions, payroll providers, government agencies, and individual savers. To learn more, visit vestwell.com Who are we looking for? The Engineering team is seeking an experienced Senior Software Engineer to join our AI Solutions team. The ideal candidate will be instrumental in developing robust AI-driven applications, contributing to both our product offerings and internal process enhancements. This role demands a blend of technical prowess, innovative thinking, and a commitment to quality. You're a great fit for our team if you can balance detail-oriented tasks with long term strategy and scale initiatives. Most of all, you must be passionate about what you create and about the impact it can have. What will You Be Doing? • Design, develop, and maintain AI services, focusing on high-quality, scalable, and reliable production-level code., • Work collaboratively with cross-functional teams to integrate AI features into products and internal tools., • Prototype and iterate on solutions rapidly in Python, with a strong grasp of machine learning principles., • Leverage APIs from leading LLM providers to implement RAG and agentic workflows across the enterprise, • Utilize machine learning frameworks such as scikit-learn and PyTorch to implement and optimize algorithms., • Create front-end prototypes and tools using JavaScript to showcase and interact with AI functionalities., • Analyze data to extract insights, inform decision-making, and measure the impact of AI solutions.Requirements The Necessities, • Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, or a related field., • Minimum of 3 years of experience in ML/AI software development, with a proven track record of delivering production-level code., • Experience delivering Python applications to production., • Familiarity with basic machine learning concepts and experience in applying them using frameworks like Scikit-learn and PyTorch., • Experience with ETL and data and model pipelines, • Experience with Docker, AWS, and other cloud services for deploying and scaling applications., • Knowledge of testing frameworks and commitment to developing reliable, well-tested code., • Experience with RDBMS (Postgres preferred), • Strong knowledge of AI algorithms, techniques, and technologies., • Strong communication, collaboration, and interpersonal skills., • Experience in an Agile environment working with tools such as GitHub, Jira, and Jenkins.The Extras, • Fintech experience The expected base salary range for this position is $155K - $170K base. This position is eligible to participate in the Company Bonus Pool and is eligible to receive new hire equity in the Company. Please note that salary bands are based on NY and other similar metro areas and may differ based on where the role is ultimately hired. OUR BENEFITS We're an innovative, high-growth company, with lots of exciting milestones ahead. We value health and wellness at Vestwell and in addition to a dedicated Employee Wellbeing Committee, we offer competitive health coverage and generous vacation offering. We have adopted a hybrid office policy, but all employees are welcome at our bright, comfortable office with many workspace options in our Midtown Manhattan office, so everyone has a setting that is the most productive for them. Oh, and naturally we have a great 401(k) plan! OUR PROCESS It starts the same for every candidate: getting to know the team members through 1-2 conversations about Vestwell, your experience, and your interests. Next steps can vary by role, but the usual next steps are a skill or experience screen (e.g. a coding interview for an Engineer, a portfolio review for a Designer, deeper experience call for other roles) which leads to a virtual or in-person interview panel after that if the screens go well. Before making an offer, our interview process concludes with a references check stage for your recruiter to meet with a current or former supervisor and peer. We prioritize transparency and lack of surprise throughout the process. For your awareness you will only receive correspondence from any other domain not ending in Vestwell.com is not our Recruitment team. Vestwell's Privacy Policy. Attention California residents: In the course of conducting our business and complying with federal, state, and local government regulations governing such matters as employment, tax, insurance, etc., we must collect Personal Information from you. Should you accept employment with Vestwell you may view our California Privacy Rights Act here: Vestwell's California Privacy Rights Policy.

Job DescriptionAbout LILT AI is changing how the world communicates — and LILT is leading that transformation. We're on a mission to make the world's information accessible to everyone, regardless of the language they speak. We use cutting-edge AI, machine translation, and human-in-the-loop expertise to translate content faster, more accurately, and more cost-effectively without compromising on brand, voice, or quality. At LILT, we empower our teammates with leading tools, global collaboration, and growth opportunities to do their best work. Our company virtues—Work together, win together; Find a way or make one; Quicker than they expect; Quality is Job 1—guide everything we do. We are trusted by Intel Corporation, Canva, the United States Department of Defense, the United States Air Force, ASICS, and hundreds of global Enterprises. Backed by Sequoia, Intel Capital, and Redpoint, we’re building a category-defining company in a $50B+ global translation market being redefined by AI. About Engineering at LILT Lilt is a high-performance, large-scale language translation system. We invest in and prioritize workflow (i.e., usability and interface design) and backend AI systems. Since the translation workforce is distributed worldwide, there are interesting cloud engineering problems to solve. We have a strong preference for building our own backend technology, so you’ll be implementing and working with the latest natural language processing (NLP) techniques and ideas. Where You’ll Work This position can be based out of our Indianapolis, IN or Berlin, Germany office and will be expected to work in the office in a hybrid capacity. Additional locations include the Boston, New York, Washington DC metropolitan areas where you will start as fully remote and then transition to hybrid once offices are opened in those locations. Authorization to work in the US and/or Berlin is a precondition of employment. What You’ll Do As a Staff Full Stack Software Engineering - Connect, you will work with a group of talented, mission-driven colleagues to define, drive, and execute projects on Lilt’s Connect API and connectors platform–the front door to our machine translation services. You will enable customers to deliver multilingual journeys and to provide truly localized experiences. Connect is at the forefront of the company strategy, therefore this is a high-visibility, high-impact role with enormous growth opportunities. You must be curious, have attention to detail, be energized by a challenging entrepreneurial environment, be comfortable thinking big while also diving deep, and be open to experimenting and iterating on processes as the company grows. Skills & Experience * Bachelor of Science or Masters of Science in Computer Science (Masters preferred) * 7+ years of professional experience as a Fullstack engineer * Experience leading an engineering team in a technical capacity (e.g. not a manager of people) * Experience working on large-scale, distributed software systems * Proficient with backend technologies such as Python and Java * Experience with React or other associated libraries, JavaScript, CSS, and HTML * Solid relational database knowledge and significant experience with very large MySQL installations are highly valued * Basic knowledge of NLP and machine learning techniques is highly valued * Professional fluency in English Benefits: * Compensation: At market salary, meaningful equity, 401(k) matching, and flexible time off plus company holidays * Medical Benefits: Employees receive coverage of medical, dental, and vision insurance, and more. In addition, LILT pays for basic life insurance, short-term disability, and long-term disability * Paid parental leave is provided after 6 months. * Monthly lifestyle benefit stipend via the Fringe platform to allow employees to customize benefits to their lifestyle Our Story Our founders, Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. While together at Google, they were amazed to learn that Google Translate wasn’t used for enterprise products and services inside the company.The quality just wasn’t there. So they set out to build something better. LILT was born. LILT has been a machine learning company since its founding in 2015. At the time, machine translation didn’t meet the quality standard for enterprise translations, so LILT assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, LILT has prioritized investments in Large Language Models, human-in-the-loop systems, and now agentic AI. With AI innovation accelerating and enterprise demand growing, the next phase of LILT’s journey is just beginning. Our Tech What sets our platform apart: * Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent * Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing * 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation * Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review LILT in the News * Featured in The Software Report’s Top 100 Software Companies! * LILT makes it onto the Inc. 5000 List. * LILT’s continues to be an intellectual powerhouse, holding numerous patents that help power the most efficient and sophisticated AI and language models in the industry. * Check out all our news on our website. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at . At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at . LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices. Compensation Range: $136K - $180K

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 are 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), retirement plans (401K), and generous paid time off. * Opportunities for professional development and career advancement within a growing company. Compensation Range: $170K - $210K

Job Description Software Engineer NYC Data Science Innovation Center – Investment Management (HYBRID REMOTE OPPORTUNITY) They are creating groundbreaking, next-generation Data Science, Predictive Analytics and Machine Learning applications for n-tier cloud architectures employing new paradigms such as cloud computing, lightweight microservices and data sciences! You will play a key role in helping build the future of financial services, working together with business partners to create client experiences that are changing the way people invest. You will be working on developing (Object-Oriented Technologies) the firm's next generation data distribution and analytics platform, with the aim to seamlessly deliver real-time and on-demand investment data to a global network of distributed trading and research platforms. J Harlan Group is currently conducting a search for a Software Engineer at a prominent Investment Manager in their NYC Data Science Technology Development Center (TDC). The TDC is expanding their Data Science Technology Innovation Center team where they are creating groundbreaking, next generation Data Science, Predicative Analytics and Machine Learning technologies. This role is eligible for remote work up to three days a week. The TDC is developing the firm's next-generation applications for n-tier cloud architectures employing new paradigms such as cloud computing, lightweight microservices, data sciences and distributed and non-relational databases to deliver elastically scalable, globally distributed and highly resilient software services. Technologists at this organization are playing a key role in helping build the future of financial services, working together with business partners to create client experiences that are changing the way people invest. They're looking for experienced Software Developers / Engineers to join their new Technology Development Center in Manhattan. They want technologists with a fresh perspective who are passionate about solving complex business, data, and technical challenges. You'll work with smart, talented people across our business to create groundbreaking, next-generation applications for n-tier cloud architectures. You'll be involved, hands-on, through the entire development cycle. And you'll redefine the way our traders, portfolio managers and analysts serve our clients. This is a “hands-on”, full development lifecycle role that provides an opportunity to solve complex business, data, and technical challenges. As a key contributor throughout the entire development cycle, you will be required to think outside the box and bring cutting edge technology in-house. The ideal candidate would have a background: Core Attributes: • Craftsman-like approach to building software; takes pride in engineering excellence and instills these values in others, • Demonstrable passion for technology (e.g., personal projects, open-source involvement) while using their problem-solving capabilities to deliver solutions utilizing a top end engineering approach, • Focused on delivering value to the business with relentless efforts to improve process, • Exceptional technology skills; recognized by your peers as an expert in your domain, • A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review or pairing, unit testing, refactoring and related approaches, • Strong analytical ability, true problem solvers, • High achiever who combines ambition with humility and is happy to let their performance do the talking Required Technical Experience: • Professional Object-Oriented development experience - 2+ Years of professional development experience with an Object-Oriented Programming (Java, Python, Scala), • Solid understanding and experience with cloud native architectures (AWS, etc.) for containerized microservices and real-time systems, • Experience with React and/or Angular helpful, • Experience with automated delivery pipelines, agile delivery and test-driven development, • In-depth knowledge of software design patterns, • Experience with AI and Machine Learning application development preferred Required Domain Experience and Soft Skills: • Experience working in a dynamic, fast-paced, Agile team environment Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business leaders, • Confident communicator: able to argue a point concisely and deal positively with conflicting views, • Enthusiasm for learning & results oriented, • A solid understanding of financial markets and instruments is a plus Required Education: • Strong academic record and a BA/BS degree with high mathematical and computing content (e.g. Computer Science or Engineering or a related technical field) An individual who loves solving deep and complex technical and business problems and wants to have an outsized impact with the services/ products they deliver. An individual with a passion for application development, high level of intellectual curiosity, a commitment to excellence and an unparalleled drive to deliver world-class services. If you or anyone in your network would be interested in this opportunity, please send resume to Jerry Goldberg at or directly contact us at (212) 792-0099 About the Client: The firm is a publicly owned global asset management firm with $800 billion dollars of AUM. The firm offers funds, advisory services, account management, and retirement plans and services for individuals, institutions, and financial intermediaries. The talent and dedication of their people is critical to their success. They offer an opportunity for developing one's professional career while working with individuals trained in a variety of disciplines in a collegial and dynamic environment. They offer a broad range of competitive benefits on a global basis. They seek candidates who are high-energy self-starters who want to join an investment management firm on the leading edge of the global markets. The management team needs individuals of the highest professional caliber who are leaders, problem solvers, analytic, detail-oriented, and entrepreneurial. Everyone at the firm works side-by-side with the firm's senior management in a highly collaborative and charged environment. Successful candidates are: • Analytic and relentless in pursuit of the right answer, • Strong communicators who excel at rapid synthesis, • Able to demonstrate sound business judgment, • Able to digest complexity while maintaining an understanding of the “big picture” of business needs, • Team players who are energized by a collaborative enterprise The firm's employees maintain the highest professional and ethical standards. The firm has earned a reputation for honesty, fair dealing, and transparency in a competitive industry. They believe that these standards are the foundation for superior investment performance and are critical to delivering performance to clients SALARY RANGE: The salary range is $148,000 - $253,000 plus employees may also be eligible for annual discretionary incentive compensation. Actual compensation within that range will be dependent upon the individual's skills, experience, qualifications, location, and applicable laws. Work Flexibility: This role is eligible for remote work up to three days a week. Benefits: The firm invests in their people through a wide range of programs and benefits, including: • Competitive pay and bonuses as well as a generous retirement plan and employee stock purchase plan with matching contributions, • Flexible and remote work opportunities, • Health care benefits (medical, dental, vision), • Tuition assistance, • Wellness programs (fitness reimbursement, Employee Assistance Program)

Job Description Senior Full Stack Software Engineer NYC Data Science Innovation Center – Investment Management They are creating groundbreaking, next-generation Data Science, Predictive Analytics and Machine Learning applications for n-tier cloud architectures employing new paradigms such as cloud computing, lightweight microservices and data sciences! You will play a key role in helping build the future of financial services, working together with business partners to create client experiences that are changing the way people invest. You will be working on developing (Object-Oriented Technologies) the firm's next generation data distribution and analytics platform, with the aim to seamlessly deliver real-time and on-demand investment data to a global network of distributed trading and research platforms. J Harlan Group is currently conducting a search for a Software Engineer (Full Stack) at a prominent Investment Manager in their NYC Data Science Technology Development Center (TDC). The TDC is expanding their Data Science Technology Innovation Center team where they are creating groundbreaking, next generation Data Science, Predicative Analytics and Machine Learning technologies. This role is eligible for remote work up to three days a week. The TDC is working to develop the firm's next generation data distribution platform, with the aim to seamlessly deliver real-time and on-demand investments data to a global network of distributed trading and research platforms. They are employing new paradigms such as cloud computing, lightweight microservices, and distributed and non-relational databases to deliver elastically scalable, globally distributed and highly resilient software services. Technologists at this organization are playing a key role in helping build the future of financial services, working together with business partners to create client experiences that are changing the way people invest. They're looking for experienced Software Developers / Engineers to join their new Technology Development Center in Manhattan. They want technologists with a fresh perspective who are passionate about solving complex business, data, and technical challenges. You'll work with smart, talented people across our business to create groundbreaking, next-generation applications for n-tier cloud architectures. You'll be involved, hands-on, through the entire development cycle. And you'll redefine the way our traders, portfolio managers and analysts serve their clients. • Design, develop, modify, adapt and implement short- and long-term solutions to information technology needs through new and existing applications, systems, databases and applications infrastructure., • Review and interpret system requirements and business processes., • Code, test, debug and implement software solutions., • Requires in-depth knowledge and expertise in their own job discipline and working knowledge of related disciplines., • Leads projects or work streams within broader projects., • Accountable for work of self and sometimes others, provides process and standards advice in area of specialty., • Works independently, receives minimal guidance., • Acts as a resource for colleagues with less experience. This is a “hands-on”, full development lifecycle role that provides an opportunity to solve complex business, data, and technical challenges. As a key contributor throughout the entire development cycle, you will be required to think outside the box and bring cutting edge technology in-house. Responsibilities: • Contributes to all parts of the SDLC, e.g., design, development, and testing, • Develops technical solutions following standard methodologies with some guidance from senior engineers, • Practices automated testing and tests your work in an automated and repeatable way, • Identifies and remediates technical debt, • Works with existing data models and schemas and suggests changes and improvements where necessary, • Demonstrates strong logic and reasoning capabilities, • Delivers on well-specified work items Business Knowledge: • Able to work directly with business stakeholders, • Decisions show a focus on current and future business priorities, together with fiscal responsibility, • Can articulate business needs and translate them into technology solutions Required: • Typically a BS or MS degree in Computer Science or a related technical field of study and 5+ Years of progressive professional development experience with an Object-Oriented language (Java, Python, C#), • Experience with automated delivery pipelines, agile delivery and test-driven development, • In-depth knowledge of software design patterns, • Experience with AI and Machine Learning application development preferred, • Solid understanding of cloud native architectures (AWS, etc.) for containerized microservices and real-time systems, • Experience working in a dynamic, fast-paced, Agile team environment, • Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business leaders, • Confident communicator; able to argue a point concisely and deal positively with conflicting views, • Enthusiasm for learning & results oriented, • Stays current with many best-of-breed technologies, • Shows a commitment to quality by implementing suitable software using unit/integration and acceptance testing at the time of feature development, • Debugs large components with limited assistance and assists other engineers with debugging, • At some levels, leads code reviews and actively participates in providing feedback on others' designs/code, • Performs as an expert in one or more parts of the software lifecycle (e.g., coding, testing, deployment). Oversee significant pieces of development within the development lifecycle, • Designs and develops practical APIs and abstractions., • Experience with React and/or Angular Strong academic record and a BA/BS degree with high mathematical and computing content (e.g. Computer Science or Engineering or a related technical field) An individual who loves solving deep and complex technical and business problems and wants to have an outsized impact with the services/ products they deliver. An individual with a passion for application development, high level of intellectual curiosity, a commitment to excellence and an unparalleled drive to deliver world-class services. If you or anyone in your network would be interested in this opportunity, please send resume to Jerry Goldberg at or directly contact us at (212) 792-0099 About the Client: The firm is a publicly owned global asset management firm with $800 billion dollars of AUM. The firm offers funds, advisory services, account management, and retirement plans and services for individuals, institutions, and financial intermediaries. The talent and dedication of their people is critical to their success. They offer an opportunity for developing one's professional career while working with individuals trained in a variety of disciplines in a collegial and dynamic environment. They offer a broad range of competitive benefits on a global basis. They seek candidates who are high-energy self-starters who want to join an investment management firm on the leading edge of the global markets. The management team needs individuals of the highest professional caliber who are leaders, problem solvers, analytic, detail-oriented, and entrepreneurial. Everyone at the firm works side-by-side with the firm's senior management in a highly collaborative and charged environment. Successful candidates are: • Analytic and relentless in pursuit of the right answer, • Strong communicators who excel at rapid synthesis, • Able to demonstrate sound business judgment The firm's employees maintain the highest professional and ethical standards. The firm has earned a reputation for honesty, fair dealing, and transparency in a competitive industry. They believe that these standards are the foundation for superior investment performance and are critical to delivering performance to clients SALARY RANGE: The salary range is $148,000 - $253,000 plus employees may also be eligible for annual discretionary incentive compensation. Actual compensation within that range will be dependent upon the individual's skills, experience, qualifications, location, and applicable laws. Work Flexibility: This role is eligible for remote work up to three days a week. Benefits: The firm invests in their people through a wide range of programs and benefits, including: • Competitive pay and bonuses as well as a generous retirement plan and employee stock purchase plan with matching contributions, • Flexible and hybrid remote work opportunities, • Health care benefits (medical, dental, vision), • Tuition assistance, • Wellness programs (fitness reimbursement, Employee Assistance Program), • Paid time off for vacation, illness, medical appointments, and volunteering days, • Family care resources, including fertility and adoption benefits

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 Description Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential. We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture. Our Products Captions Mirage Studio Our Technology AI Research @ Mirage Mirage Model Announcement Seeing Voices (white-paper) Press Coverage TechCrunch Lenny’s Podcast Forbes AI 50 Fast Company Our Investors We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. ** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the role: Captions is seeking a Machine Learning Engineer to partner closely with our Researchers and bring large-scale multimodal video diffusion models into production. You’ll be responsible for optimizing and deploying state-of-the-art generative models (tens to hundreds of billions of parameters) to deliver low-latency, high-throughput inference at scale. This is a unique opportunity to work on cutting-edge AI—spanning audio-video generation, diffusion architectures, and temporal modeling—and ensure these innovations reach millions of creators worldwide. Responsibilities: * Inference & Deployment * Develop high-performance GPU-based inference pipelines for large multimodal diffusion models. * Build, optimize, and maintain serving infrastructure to deliver low-latency predictions at large scale. * Collaborate with DevOps teams to containerize models, manage autoscaling, and ensure uptime SLAs. * Model Optimization & Fine-Tuning * Leverage techniques like quantization, pruning, and distillation to reduce latency and memory footprint without compromising quality. * Implement continuous fine-tuning workflows to adapt models based on real-world data and feedback. * Production MLOps * Design and maintain automated CI/CD pipelines for model deployment, versioning, and rollback. * Implement robust monitoring (latency, throughput, concept drift) and alerting for critical production systems. * Performance & Scaling * Explore cutting-edge GPU acceleration frameworks (e.g., TensorRT, Triton, TorchServe) to continuously improve throughput and reduce costs. Requirements: * Technical Expertise * Proven experience deploying deep learning models on GPU-based infrastructure (NVIDIA GPUs, CUDA, TensorRT, etc.). * Strong knowledge of containerization (Docker, Kubernetes) and microservice architectures for ML model serving. * Proficiency with Python and at least one deep learning framework (PyTorch, TensorFlow). * Model Optimization * Familiarity with compression techniques (quantization, pruning, distillation) for large-scale models. * Experience profiling and optimizing model inference (batching, concurrency, hardware utilization). * Infrastructure * Hands-on experience with ML pipeline orchestration (Airflow, Kubeflow, Argo) and automated CI/CD for ML. * Strong grasp of logging, monitoring, and alerting tools (Prometheus, Grafana, etc.) in distributed systems. * Domain Experience * Exposure to diffusion models, multimodal video generation, or large-scale generative architectures. * Experience with distributed training frameworks (FSDP, DeepSpeed, Megatron-LM) or HPC environments. Benefits: * Comprehensive medical, dental, and vision plans * 401K with employer match * Commuter Benefits * Catered lunch multiple days per week * Dinner stipend every night if you're working late and want a bite! * Grubhub subscription * Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) * Multiple team offsites per year with team events every month * Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only. Compensation Range: $175K - $275K

Job Description Data Architect About Keyrock Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation. Today, we rock with over 180 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels, Singapore and Paris, and host regular online and offline hangouts to keep the crew tight. We are trading on more than 80 exchanges, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks. But we’re more than a service provider. We’re an initiator. We're pioneers in adopting the Rust Development language for our algorithmic trading, and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives. At Keyrock, we're not just envisioning the future of digital assets. We're actively building it. Position Overview The Data Architect is responsible for designing, implementing, and maintaining an organization's data architecture and strategy, ensuring that data is collected, stored, and processed efficiently and securely to support business intelligence, data analytics, and machine learning operations (MLOps) practices. Key Responsibilities * Designing Data Architecture: Plan and implement a robust, scalable data architecture that integrates data from various sources and supports diverse analytical needs, while optimizing costs and meeting business requirements. * Implementing Data Engineering Pipelines: Design and develop data pipelines for data extraction, transformation, and loading (ETL) processes, ensuring data quality and consistency. * Enabling Data Intelligence and Analytics: Build and maintain data warehouses, data marts, and data lakes to support business intelligence and data analytics initiatives. * Supporting MLOps Practices: Collaborate with data scientists and machine learning engineers to design and implement data infrastructure and processes that support machine learning model development, deployment, and maintenance. * Ensuring Data Security and Compliance: Implement security measures, policies, and procedures to safeguard data privacy and comply with relevant regulations. * Data Governance and Management: Establish and enforce data governance policies and standards to ensure data quality, integrity, and accessibility. * Collaborating with Cross-Functional Teams: Work closely with data engineers, data scientists, business analysts, and other stakeholders to understand data requirements and translate them into technical solutions. * Staying Abreast of Technological Advancements: Keep up-to-date with emerging technologies and trends in data architecture, data engineering, and MLOps to identify opportunities for improvement and innovation. * Optimizing Data Performance: Monitor and analyze data processing performance, identify bottlenecks, and implement optimizations to enhance efficiency and scalability. * Documentation and Knowledge Sharing: Create and maintain comprehensive documentation of data architecture, models, and processing workflows. Technical Requirements * Extensive experience in data architecture design and implementation. * Strong knowledge of data engineering principles and practices. * Expertise in data warehousing, data modelling, and data integration. * Experience in MLOps and machine learning pipelines. * Proficiency in SQL and data manipulation languages. * Experience with big data platforms (including Apache Arrow, Apache Spark, Apache Iceberg, and Clickhouse) and cloud-based infrastructure on AWS. Education & Qualifications * Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience. * Preferred certifications (optional): * AWS Cloud Data Engineer * AWS Machine Learning Ops Engineer Leadership & Collaboration * Passion for building scalable, reliable, and secure systems in a fast-paced environment. * Ability to translate complex technical concepts into clear, actionable insights for technical teams. * Strong interpersonal skills with the ability to work effectively across cross-functional teams. * Excellent problem-solving and analytical skills. Our recruitment philosophy We value self-awareness and powerful communication skills in our recruitment process. We seek fiercely passionate people who understand themselves and their career goals. We're after those with the right skills and a conscious choice to join our field. The perfect fit? A crypto enthusiast who’s driven, collaborative, acts with ownership and delivers solid, scalable outcomes. Our offer * Competitive salary package * Autonomy in your time management thanks to flexible working hours and the opportunity to work remotely * The freedom to create your own entrepreneurial experience by being part of a team of people in search of excellence As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance. Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock.

Job Description We're a fast-growing tech scale-up with $36M in funding, revolutionizing the modern internet with cutting-edge solutions that drive mass-adoption. We already work with major brands such as Uber, Amazon, North Face, Temu, Lego, BMW, North Face and 100's more. Our secret? Removing all blockchain and crypto complexities that are barriers to creating user-friendly applications solving real-world use-cases. Our investors include Multicoin, Circle Ventures, Animoca, Valor, Alliance DAO, and more. With a community of over 1M followers across all socials and a CEO who has been featured on the NYSE and NASDAQ, we believe we are only at the beginning of making XION a global brand. We are looking for a high-functioning psychopath to help bring the next wave of hybrid web2/3 applications. You will be joining a team of top-tier self-selected sado-masochists, who work here because they can't really work anywhere else. We value rapid communication and direct feedback, both internal and external. Breakneck pace shipping, autonomy and ownership, and constant experimentation are table stakes. Apologies in advance. What Sparks Your Enthusiasm • Shipping nonsense to billions of users, • That point of a futile debugging session where you start to question your sanity and everything becomes hilarious, • Finding interesting/troubling ways to solve engineering problems, • "Huh, that's weird", gives you a sense of giddy panic, • "It works on my machine", • "The user should be able to figure it out", • "That isn't my problem", • Typescript, • React, • Self-destructive tendencies, • CSS Frameworks (Tailwind, MUI, etc.), • Medically significant but non-terminal caffeine addiction, • Experience with Git/Github in a distributed team, • Experience integrating with REST/GraphQL/GRPC APIs, • Security Minded, • Comfort in a young, chaotic, rapidly evolving small team startup environment, • Cosm.js or Web3.js experience, general experience developing with crypto focused javascript libraries., • Experience with NPM release best practices, • Experience working with and configuring bundlers (Webpack, Vite, etc.), • Experience with browser and mobile data storage, ie LocalStorage, SQLite, • Performance conscious development, as the majority of the global user base is on mobile phones Actual: • Desperate banging on keyboard, • Ripping hair out over encoding errors, • Not learning from previous mistakes about encoding errors, • Design Implementation: Work closely with the design team to bring concepts to life, using provided designs as a foundation while exercising autonomy in execution., • Feature Development: Take ownership of features from planning to release, including scoping, task management, and prioritization., • Documentation Analysis: Research and review available documentation to guide development, navigating and interpreting scarce or ambiguous resources., • Testing and Debugging: Conduct thorough testing and extensive debugging to ensure high-quality deliverables, iterating through multiple cycles as needed., • Collaboration: Engage with the protocol team to facilitate smooth integration of features, providing technical guidance and feedback., • Take on new features or bug fixes, with full ownership, • Scoff at the lack of documentation in our field, • "Reverse engineer" protocol level … stuff… to integrate into client, • Debug, debug, debug, • Release and iterate

Job Description Who We Are: Ordergroove is a dynamic, fast-paced environment where you will be involved in building something of real value from the ground-up. We're looking for bright, talented people who are excited about innovation, growth, and the exciting world of Relationship Commerce. If you're motivated by a desire to solve problems and deliver groundbreaking insights and solutions you'll fit in perfectly! About the Role: We're seeking a pioneering Analytics Engineer to join our growing data team. This is an opportunity to be an early, foundational team member, playing a critical role in defining how analytics engineering is done at Ordergroove. You'll have the freedom to establish best practices, and influence the direction of analytics across the organization. You'll design and optimize data models, build robust data pipelines, and ensure high-quality, accessible data for stakeholders across the company. If you love working with SQL, dbt, and Python, and thrive in a collaborative, fast-paced environment, we'd love to hear from you. What You Will Do: • Design, develop, and maintain core data models in dbt and SQL, ensuring consistency, accuracy, performance, and appropriate levels of normalization to meet business and technical needs., • Build and maintain data pipelines to ingest, transform, and serve data efficiently, leveraging tools like dbt and Airflow., • Collaborate with engineers, product managers, business stake holders to define key business metrics and ensure seamless data access., • Enable self-service analytics by creating clear documentation and supporting teams in using data effectively., • Ensure data quality and reliability by implementing monitoring systems and designing processes that maintain long-term data integrity., • Advanced SQL & Data Modeling: Strong experience in designing, building, and optimizing SQL-based data models, with an understanding of normalization trade-offs., • Data Pipeline Development: Hands-on experience with dbt and modern ETL/ELT frameworks, following best practices like version control and CI/CD., • Python & Data Engineering: Proficiency in Python for data transformations, workflow orchestration (Airflow), and automation., • Data Warehouse Design: Experience designing and optimizing a data warehouse in BigQuery, including structuring datasets, partitioning, clustering, and optimizations to manage performance at scale., • Data Quality & Governance: Experience implementing monitoring systems, ensuring data consistency, and maintaining high-quality data.Soft Skills & Mindset:, • Strong Communicator: Able to translate technical concepts for non-technical stakeholders, collaborate with engineers, and present insights effectively., • Proactive & Self-Driven: Comfortable working alone, driving projects, and building relationships across teams., • Impact-Oriented: Focused on delivering high-value solutions that empower stakeholders and improve business outcomes.Nice to Have:, • Interest in Data Science and Machine Learning, while this is not a pure data science role, familiarity with ML concepts and their applications in analytics will be a plus., • Knowledge of statistical analysis and experience applying it in real-world data problems., • Familiarity with Django or API, which can be valuable when building internal data tools or collaborating closely with backend engineering teams on data-related features.What Success Looks Like:, • Teams across Ordergroove consistently rate their data access as excellent, with clear documentation that enables confident decision-making., • The data models you build answer critical business questions with accuracy, consistency, and performance. If you don't meet 100% of the qualifications outlined above - that's okay, nobody's perfect! We encourage you to apply if you think this is a role that would make you excited to come into work every day. About Ordergroove: Ordergroove powers recurring revenue for the world's largest and most innovative retailers including L'Oreal, Dollar Shave Club, La Colombe Coffee, Bonafide Health, BarkBox, and more. As a direct result, more than 11% of adult Americans have a subscription powered by Ordergroove. Our technology makes seamless, one-of-a-kind subscriber and membership experiences possible to turn one-time transactions into profitable recurring customer relationships. Ordergroove's powerful platform empowers merchants with highly customizable options such as flexible promotions, bundling, and analytics to bolster their bottom line while making customers' lives easier. We recently achieved a milestone year with 152% year over year new business growth, and were rated best-in-class subscription technology by CB Insights and eCommerce Platform of the Year by RetailTech Breakthrough Awards. Our company values celebrate collaboration, different perspectives, and curiosity with the goal of getting to the right answer, no matter who came up with it. At Ordergroove we are committed to creating a welcoming and supportive environment for all people. We encourage people with different backgrounds and experiences to join our growing team so that we gain different perspectives and build the best team possible. We demand the best of ourselves and each other and never miss an opportunity to celebrate our successes. With a fully flexible work from anywhere culture, staying connected and supporting each other are always top of mind. We build our tight-knit community through small group events like trivia night, cooking classes, and book clubs. We encourage cross-functional relationships through virtual coffees and we stay close to the business through weekly team updates and quarterly all-hands meetings. At Ordergroove, we focus on flexibility and empowering our team to make the right decisions for themselves. We have flexible PTO and a totally remote (anywhere in the US) workforce, and an annual personal development budget that you use for what matters to you (wellness, career development, productivity at home, etc). And of course, that is on top of the basics like competitive compensation (including stock options) and incredible, affordable benefits. Come join our amazing team while we enable the fastest-growing segment of commerce that makes life easier for millions of consumers every day! At Ordergroove, we want to hire, develop and retain the best talent, making Ordergroove a top destination to grow your career. The pay transparency law is a way of narrowing the gender pay gap and fostering an engaged and positive working environment. It is also a way to share what we think is a reasonable, equitable and competitive compensation structure for the roles on our team. The total compensation range for this role is between $120,000 and $140,000 plus equity.

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

Job DescriptionLead Engineer, Machine Learning • Location: NYC, • In-office 3-4 days per week, • Reports to: Director of Engineering and CEO In 2024, over 10,000 private companies pursued an exit via the platform, leading to over 1,000,000 platform connections, 75,000+ signed NDAs, and hundreds of millions of dollars in successfully closed transactions (). About the Role We are hiring a Lead Engineer to lead the planning, architecting and coding of ML and related advanced technologies into our recommendation systems and core product experiences. Our current algorithmically-driven approach is effective but insufficient. Customer and technical research makes us confident that there is significant user experience and commercial upside by incorporating and matching real-time private data sets that we have gathered via platform usage and 3rd party aggregation. We are searching for a technically excellent lead engineer who can lead the creation of ML and AI capabilities at Axial, collaborate with the existing team, help us grow the team over time, and ship roadmaps that materially upgrade the customer experience. What You'll Take On • Design, develop, and deploy ML/AI-driven models to enhance our matching engines, industry classification systems, and more., • Help establish ML and MLOps best practices that lay a groundwork for sustained AI/ML development at Axial., • Collaborate with product managers, engineers, and business stakeholders to define and execute AI strategies aligned with company objectives., • Optimize AI and machine learning models for speed, accuracy, and scalability, ensuring reliable integration into Axial's platform., • Develop and refine recommendation systems, applying NLP, deep learning, and predictive analytics to improve buyer-seller matchmaking., • Create clear documentation and visualizations to communicate insights and recommendations to technical and non-technical audiences.Who We're Looking For, • 5+ years of experience using AI/ML and related technologies to improve consumer or B2B software experiences., • Strong production expertise building, modifying, and scaling machine learning recommendation systems / engines, • Familiarity with SQL and data warehouses (e.g., AWS Redshift) for AI-driven analytics., • Strong problem-solving skills with the ability to work independently in a fast-paced environment.Our stack, • Python (FastAPI), Postgres (RDS), • Angular 18+, Typescript, • Terraform, AWS EC2/EKS, OpenTelemetry, Grafana/Prometheus/Loki/Tempo We are a team of ~50 employees with an overall technical organization of ~20 split among three squads. We have a senior, tightly-knit engineering team, where you will have the opportunity to have a direct impact on the product and the company. We use a "lite scrum" process, including daily stand-ups, bi-weekly sprints, sprint demos and retrospectives. Since much of our team is fully remote, we use Shortcut to track our work through the development cycle. Below are Axial's core values. We believe in these and we practice them actively, so if you connect w/ these, you may enjoy working here: • Obsess Over Member Trust: Your daily choices reflect your awareness that we facilitate vital life-altering transactions. You consistently take this responsibility seriously and it's top of mind., • Expect and Deliver Excellence: You pursue consistent high performance so that your colleagues feel confident partnering and relying on you. You demonstrate a personal commitment to continuous improvement and you inspire it in others., • Communication Matters: You are concise and articulate in your communication, external or internal. You listen actively and genuinely and ask good questions., • Invent and Simplify: You are open-minded AND opinionated, looking for great new ideas that can elevate and even transform the member experience. You find novel ways to simplify complex status quos., • Be an Owner: You think about the long-term effects of your decisions. You take full responsibility for your work product. You invest real time in building genuine relationships with your teammates. NY Pay Range$300,000—$300,000 USD