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The Personalization (PZN) team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts, and audiobooks better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build—from flagship playlists like Discover Weekly and Daily Mix to entry points like Home and Search. The Next Generation Sessions (NextGen) product area within PZN is reimagining listening beyond the playlist. We invent cutting-edge personalized sessions like AI DJ, AI Playlist, Blend, Jam, and vertical feeds for discovering music and podcasts. Our team of ~100 engineers, scientists, product managers, and domain experts in music, podcasts, and voice collaborate across New York, Boston, London, Stockholm, and remote locations from Eastern US through Central European time zones. As an Associate MLE / AI Engineer in NextGen, you’ll be part of a cross-functional team inventing new AI-powered listening experiences. You’ll explore emerging AI capabilities, prototype end-to-end products, and help bring new features from concept to launch to millions of users. This is a fast-paced, high-growth role ideal for someone early in their career who is eager to learn by building, collaborate closely with senior engineers and researchers, and stay at the forefront of AI applied to music and talk content. If you're passionate about the intersection of AI and music and podcasts, obsessed with exploring new AI capabilities, and excited to shape the future of audio, bring your ideas—we’ll invent the next generation of audio together. • Rapidly prototype, iterate, and ship AI-powered music and podcast recommendation experiences using the latest capabilities of LLMs, agent frameworks, and Spotify’s recommender systems, • Continuously explore and evaluate new models, tools, libraries, and product trends—bringing fresh ideas into the team from the frontiers of AI and open-source innovation, • Promote and model best practices in AI engineering—including the use of LLMs and agents to power products, advanced evaluation strategies, and AI-assisted coding tools, • Leverage AI coding assistants to rapidly prototype full-stack MVPs, • Collaborate with cross-functional partners—including design, user research, product, data science, tech research, and engineering—to bring new ideas from concept to launch, • Develop a keen eye for software quality, learning to critically evaluate AI-generated code to ensure it meets Spotify's high standards for correctness, performance, and engineering best practices, • Grow your skills with access to Spotify’s comprehensive career development resources and encouragement to develop across disciplines, • Build a strong foundation and culture in AI engineering by leveraging the state of the art, learning from mentors, pairing with Staff engineers, and shipping code that reaches hundreds of millions of users, • You’re a full-stack AI prototyper: building your own projects with modern AI tools, experimenting fast, and iterating based on feedback, • You’re fully plugged into the AI ecosystem—active in online communities, exploring open-source repos, reading papers, trying every new tool you can get your hands on, • You think end-to-end, across the stack—from designing user interactions, to wiring up backends, to building models, to deployment considerations—because you want to see ideas come to life, • You have a working knowledge of machine learning fundamentals and hands-on experience with Python, Java, or Scala and modern ML frameworks like PyTorch or TensorFlow, • You have familiarity fine-tuning and evaluating LLMsYou have familiarity building workflows that integrate LLMs and data into autonomous, multi-step workflows, • You have experience crafting prompts to get the results you’re after. You know how to write, improve, and test your prompts to extract value out of LLMs, • You understand the importance of critically reviewing AI-generated code for correctness, quality, and alignment with best practices, • You may have studied AI formally—or you may have taught yourself through hands-on building and deep curiosity, • You thrive in collaborative, interdisciplinary environments and are eager to learn from more experienced engineers, • You’re good at communicating technical topics to less technical peopleYou bring contagious enthusiasm, a creative mindset, and a strong drive to shape the future of AI-powered products, • This role is based in New York.

Valence has built the first-to-market AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance & support to any leader or employee. At Valence, we're not just talking about the future of work – we're actively shaping it. From your first interaction with us, you'll notice we're different. By working here you won't just implement solutions for our clients; you'll be helping to architect the future of leadership in the age of generative AI. And we'll be honest – this is not for everyone. But for those with an insatiable desire to work fast on complex, unsolved challenges with some of the best talent in tech, this could be the career-defining opportunity you've been waiting for. The Role As a founding Applied AI Engineer at Valence, you'll spearhead the development of groundbreaking AI-driven leadership coaching, reporting directly to our Head of AI. This pivotal role places you at the intersection of cutting-edge generative AI and practical business applications, offering the opportunity to shape the future of workplace development. You'll pioneer AI coaching by developing and deploying advanced generative AI models that revolutionize leadership development, while crafting intelligent interactions through sophisticated natural language processing systems that provide personalized, context-aware guidance to leaders. In this position, you'll optimize our AI systems for enterprise scale, building robust and scalable solutions capable of serving Fortune 500 clients with high performance and reliability across diverse corporate environments. Collaborating closely with our product and leadership teams, you'll drive product innovation by identifying new opportunities for AI integration and constantly pushing the boundaries of what's possible in AI-assisted coaching. As a champion of ethical AI, you'll lead the charge in developing responsible AI practices, ensuring our coaching solutions maintain the highest standards of fairness, transparency, and user trust. This role presents a rare opportunity to apply state-of-the-art AI techniques to transform how businesses approach leadership development. You'll tackle unique challenges at the intersection of AI, psychology, and leadership development, creating truly innovative solutions. About Valence We're a Series A B2B SaaS company, backed by Insight Partners, that's pioneering the first generative AI leadership coach for large enterprises. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together. We've been featured in Harvard Business Review, and our client list reads like a who's who of global business, including Coca-Cola, Nestlé, General Mills, ServiceNow, AstraZeneca, Experian, and Bristol Myers Squibb. \n What You'll Do • Architect and develop enterprise-grade conversational AI solutions for leadership coaching, • Develop, design and implement improvements in user experience in conversational interactions leveraging LLMs in novel ways to advance product goals., • Evaluate and improve existing conversational (LLM-based) models across dimensions of effectiveness, scalability, and efficiency., • Implement, test, and deploy LLM-powered coaching agents that understand complex tasks, provide accurate and relevant responses, and adapt to diverse conversational contexts, • Integrate and manage diverse data sources to enhance the knowledge and contextual understanding of our AI coaching models, • Work with the product team to study user behavior and prioritize evolving product developments., • Experiment at a high velocity to optimize user experience, • Full stack - write, review and deploy code across back and front end as needed, • Streamlining data science processes to support rapid iteration and quality improvement., • Support other science and software development where required. What We're Looking For • Bachelor's degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience, • 3+ years of professional experience (or equivalent) in software engineering, AI/ML development (ideally including a Master's or Ph.D. in Computer Science, ML, Data Science, or a related field), • Practical and theoretical knowledge of language systems in the areas of: conversational systems, NLP, and Information Retrieval with knowledge of relevant tools, • Strong software engineering skills with a track record of developing data-driven machine learning systems or products, • Proficiency in Python and relevant deep learning frameworks - both training (e.g. PyTorch, Tensorflow, JAX) and serving (e.g., Hugging Face TGI/Transformers/Adapters/outlines, vLLM), • Experience with cloud deployment of ML systems (e.g., AWS, GCP, Azure) including and open systems (e.g. Docker and Kubernetes) and their associated ML services., • Experience with Data Science tools and processes (e.g. NumPy, scikit-learn, Pandas, PySpark), • Familiarity with ML lifecycle tools like MLflow, Weights & Biases, • Hands-on experience building Generative AI-powered applications, including Large Language Models, • Strong analytical and problem-solving skills, • Ability to communicate complex ideas and concepts effectively, • Exposure to early-stage startups, preferably B2B SaaS What You'll Get • Ownership of projects and strategic priorities regardless of seniority in our learning-focused environment., • Strong ties to the executive team, a culture of transparency and engagement with strategic decisions., • Options from day one, which means you will be on the ownership track right away., • Competitive salary and equity packages., • Comprehensive health coverage (medical, dental, and vision) from day 1., • Provision of anything you need to be successful - learning tools, hardware, office equipment, software., • 401k optionality for US based employees, • Generous PTO, company-wide R&R shutdowns and paid leave for parents., • A WFH stipend, phone stipend and support to work in a We Work or other space as preferred. \n Location and Work Environment If candidates are based in NYC or Toronto they can work hybrid in our offices, otherwise this role can be remote. Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions in the US. Diversity and Inclusion We are dedicated to creating a diverse and inclusive environment where everyone feels valued and supported. We encourage applications from candidates of all backgrounds and offer accommodations upon request throughout the hiring process. If you have any questions, please reach out to Allison Langille, Head of People, at . #LI-HYBRID

As an AI Engineer at Regard, you’ll play a key role in developing and deploying AI-powered features that enhance physician workflows and improve patient care. You’ll be instrumental in integrating large language models into our platform—building scalable, reliable systems that deliver real value in clinical settings. Working closely with product, design, and engineering teammates, you’ll help prototype, implement, and refine innovative features that push the boundaries of what’s possible in healthcare. Your primary focus will be on building and maintaining production-grade AI systems using best practices—leveraging tools like LangChain, vector databases, and retrieval-augmented generation techniques. You’ll bring hands-on experience in prompt engineering and LLM development, helping the team accelerate feature delivery and deepen our AI capabilities. In this role, you’ll also contribute to a culture of learning by sharing practical insights and collaborating closely with teammates. You’ll have the opportunity to grow your own expertise while helping the team move faster and build smarter, more reliable systems. About Regard Our mission is to bring world-class healthcare to everyone. Regard is the world’s first comprehensive, automated diagnosis tool. Regard streamlines clinical and revenue cycle efforts to dramatically improve hospital finances, patient safety, and physician happiness. We are excited by challenges, mission-oriented work, and meaningful relationships. We work closely with some of the top health systems in the country and are leading the change that healthcare - one of the largest and most inefficient industries in the world - needs. We want you to join us. • Lead the design and implementation of production-grade AI systems and tooling, • Architect and deploy AI systems using frameworks like LangChain, vector databases, RAG techniques and prompt management, tracing, and benchmarking tools, • Perform prompt engineering to optimize the output for LLM-based tasks, modify LLM system designs to add more functionality or improve the performance of our AI agents or tasks, • Mentor and level up engineering team members on AI agent development, system design, and production AI best practices, • Design architectures that improve end-user response times and reduce both algorithmic and AI-based latency and cost using appropriate prompting techniques, • Collaborate with product and design teams to rapidly prototype and iterate on AI-powered features while maintaining engineering quality standards, • Own end-to-end delivery of AI systems, from conception through production, deployment, and monitoring, • Navigate technical ambiguity and make architectural decisions that balance speed to market with system reliability and scalability, • BS in Computer Science or equivalent experience, • 4+ years of software engineering experience with demonstrated ability to build and ship products end-to-end, • 1.5+ years of hands-on applied AI experience, including extensive work with OpenAI or Anthropic LLMs in production settings, • Demonstrated proficiency in Python, • Proven experience building AI agents with expertise in prompt engineering, LLM pipelines, and optimization of latency, cost, and quality, • Experience with retrieval-augmented generation, context window optimization, chunking, semantic search, vector databases, and other technologies used in conjunction with LLMs, • Strong mentoring and teaching abilities to level up team members on AI system design and implementation, • Exposure to startup and/or high growth environments, • Background in ML techniques, including fine-tuning of models/LLMs and building evaluation and training datasets, • Experience in healthcare technology or other highly regulated industries, • Experience working with health technology, • Experience with machine learning systems, including building evaluation, training, and inference pipelines, and deploying custom-built ML models, • For this role, Regard is currently only considering candidates who are authorized to work in the US without visa sponsorship, and are within the New York City metro area, • We expect our Engineers to be in the office on Tuesdays and Thursdays. We may request more frequent in-office work during the onboarding period, • We will provide relocation assistance to anyone who does not already reside in the NYC metro area, • For those who enjoy working from our Manhattan office on a more regular basis, we offer catered lunches and other fun perks, • Additionally, hybrid employees have the flexibility to work from locations outside of their home office from up to 6 weeks per year, • Eligible for equity, • 99% employer paid health benefits (Medical, Dental, and Vision) + One Medical subscription, • 18 PTO days/yr + 1 week holiday break, • Annual $750 learning & development stipend, • Company-sponsored team retreat + social events

Automation AI Security Engineer Brooklyn, NY Onsite Description: The resource’s function is essential to securing the City of New York’s systems for the MyCity Portal development project. Specifically, this resource will help aid in the automation of the Project's Artificial Intelligence (AI) capabilities with other cybersecurity tools. This requires the testing and hardening of the AI ecosystem through well-designed frameworks designed to protect the City of New York's systems and data from emerging cyber-attacks. MyCity is a single portal for all City services and benefits. The vision is a simple, seamless, and intuitive experience interacting with City government digitally. It is designed with New Yorkers at the center of the process to prioritize features by conducting user research. MyCity produces value for New Yorkers, early and often through phased releases. There are several phases within the MyCity portal workstream (Child Care, Business Portal, Workforce Development Services and others). One such phase has been the inclusion of artificial intelligence (MyCity Chatbot) into the platform to enhance New Yorker's ability to leverage the platform. OTI Cyber Command is looking for additional support as the cyber threat landscape continues to evolve and Citywide cybersecurity solutions are deployed in large, complex networked environments. The needed resource skill set is specialized in: working with software development teams to ensure the security and responsible use of AI applications by providing automation guidance at various stages of planning and implementing security design, processes and solutions, and, testing and validation. The resource will have significant interaction with NYC Cyber Command leadership, its engineering, architecture, and application security teams, incident response and other cyber security practitioners. TASKS: ● Design and implement AI-powered solutions that enhances the security posture of tools across multiple platforms. ● Develop security content for tools and technologies that the Threat Management team relies on to ensure business as usual functioning. ● Design and deploy machine learning models for threat detection, incident response, and security orchestration. ● Integrate innovative and custom technology to improve accuracy of alerts and notifications received by teams within Threat Management. ● Create well documented and clearly articulated code, process and services documentation. ● Understanding REST and SOAP API usage and implementing solutions utilizing APIs from Cyber Command utilized solutions, that enhance detection and response capabilities of the Threat Management. ● Handle special projects and initiatives as assigned. ● Perform various types of tests such as functional testing, regression testing, performance testing, and usability testing to evaluate the behavior and performance of the AI algorithms and models. MANDATORY SKILLS/EXPERIENCE: ● Bachelor’s degree in computer science, electrical or computer engineering or related field, or equivalent work experience. ● Ability to leverage REST API’s to build tool and platform integration. ● Proficient in git version control and git life-cycle development. ● 8+ years of hands-on experience in cybersecurity or information security and Python development. ● Demonstrated ability to write test scripts, automate test cases, and analyze test results using programming languages and testing frameworks. ● Ability to work independently to learn new technologies, methods, processes, frameworks/platforms, and systems. ● Excellent written and verbal communication skills to articulate challenging technical concepts to both lay and expert audiences. ● Ability to stay updated on the latest developments, trends, and best practices in both software testing and artificial intelligence. DESIRABLE SKILLS/EXPERIENCE: ● Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment. ● Understanding of public cloud platforms and experience with utilizing platforms such as Azure, AWS or Google Cloud. ● Experience working in a security environment and/or supporting security teams from a technical standpoint. ● Ability to work collaboratively in an interdisciplinary team environment. ● Highly flexible/willing to learn new technologies. SPECIAL REQUIREMENTS: Normal on-prem business hours Monday-Friday 35 hours/week (not including mandatory unpaid meal break after 6 hours of work).

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

OneTrack enables effortless logistics operations for the world's largest brands and logistics companies. We do this by deploying camera sensors and other data capture devices along with our mission control platform and AI agents across their operations. We think in decades, not VC-fund cycles, and we're committed to delivering real value to an industry that needs us right now. Every team member is laser-focused on growing the value of our scalable computer vision platform, expanding into new markets, industries, and use cases. Today, OneTrack is deployed in 100s of warehouses across North America working with companies like Kellanova, Ryder, Church & Dwight, ID Logistics, and many more. We're off to a big start, and we're doing it on our terms and timelines. About the Position: We are seeking a mid-senior level Software Engineer with 5-10 years of professional experience in backend development with Python (using FastAPI, Flask, or similar frameworks), AWS (particularly Lambda functions), and frontend development (React, JavaScript, CSS/HTML). This person will primarily be focused on OneTrack AiOn, our agentic AI platform that automates engineering, analysis, HR, and compliances processes in logistics operations. You will be hands on building agentic products that work in the real world interacting with tens of thousands of people every single day. • 2-5 years of professional experience in software engineering., • Strong proficiency in Python and experience with backend frameworks such as FastAPI or Flask., • Demonstrated experience building agentic systems on top of foundation models, • Strong experience in prompt engineering, tool design, and RAG, • Experience with AWS services, particularly Lambda functions., • Experience with SQL-like databases, • Proficiency in frontend development with React, JavaScript, CSS/HTML., • Solid understanding of software development principles, including version control (Git), testing, and continuous integration/continuous deployment (CI/CD) practices., • Excellent analytical and problem-solving skills., • Strong communication and interpersonal skills, with the ability to collaborate effectively with clients and team members., • Ability to manage multiple projects and prioritize tasks in a fast-paced environment. Preferred Skills: • Experience with Docker and Kubernetes., • Experience with data visualization tools and libraries., • Understanding of machine learning concepts and AI applications., • Knowledge of security best practices in software development. Note: This is a company that works harder than anyone else. We grind. We don't stop. This is not for everyone. If you want to be at the forefront of making AI run operations in the real world and solve complicated problems at scale with a lot at stake and a ton of responsibility, this is for you. If you are easily overwhelmed, don't have the confidence to own complex projects, or need others to delegate tasks and responsibilities to, this is not for you. • Base salary + bonus & stock options eligibility, • Health insurance, dental, vision, PTO days, • Flexible working hours and remote work options, • Opportunities for professional growth and development, • A collaborative and innovative work environment

US Mobile is on a mission to revolutionize connectivity. Imagine a world where you can go into a single app and buy terabytes of data for every one of your devices: phone, smart devices, car, home broadband, and more. That’s the future that US Mobile is building: a software platform built truly for the 21st century and the age of 5G and IoT, with world class engineering, best-in-class user experience, and features that will define the next generation of connectivity. At the core of it all, we have a team and culture that has been recognized by Forbes as one of the top 500 best startup employers in the US. Our team spans diverse backgrounds, cultures, and stories, with employees coming from 20+ countries. We're a venture-backed company entering hypergrowth, having recently ranked 94th on Inc 5000's fastest-growing private companies in America, and we’re looking for someone exceptional to join our team. Job Description: We’re looking for an AI/ML Engineer who will develop, optimize, and scale machine learning models that power our next generation of user experiences. Working closely with product, engineering, and design, you’ll ensure our ML tools truly address user needs—whether they’re discovering new features, troubleshooting connectivity, or receiving proactive solutions to common issues. The role is based out of our New York office. \n Key Responsibilities: • Design & Deploy Conversational / Multi-Agent LLM Solutions, • Craft multi-agent conversational flows capable of handling a wide range of user requests—both purely informational and action-oriented., • Employ advanced LLM techniques (prompt engineering, context retrieval, multi-step reasoning) to ensure robust, context-aware dialogues, • Multi-Modal & Multi-Model Integration, • Explore different input/output formats (e.g., text, potential voice or image-based flows) to enrich user interactions, • Evaluate different models based on their intended use case, considering both technical capabilities and cost efficiency, • Platform & Pipeline Building, • Work with cross-functional teams to design data pipelines that feed your models real-time or near real-time data, • Implement best practices around model lifecycle management—versioning, containerization, deployment orchestration, etc, • Optimization & Scale, • Ensure the chat system can handle thousands (eventually millions) of concurrent interactions, maintaining low latency and high availability, • Monitor performance, define metrics (latency, user success rate, fallback rate, etc.), and iteratively improve, • Ongoing Innovation & Experimentation, • Remain current on the rapidly evolving AI/ML landscape, especially in generative models, multi-agent orchestration, and knowledge retrieval, • Propose new ways to extend AI across our platform—e.g., advanced personalization, proactive customer engagements, etc. Qualifications: • Core AI/ML Expertise, • 3+ years hands-on experience building and deploying machine learning solutions at scale, • Solid understanding of NLP techniques, including transformer models and embeddings, with hands-on experience using modern tools like Hugging Face, AWS Bedrock, and OpenAI’s API, • Backend & Data Infrastructure, • Proficient in Python or a similar language for data pipelines and model development, • Experience with cloud platforms (AWS strongly preferred), containerization (Docker, Kubernetes), and microservices, • Research & Problem-Solving Mindset, • Up-to-date on AI/ML trends—especially in multi-agent systems, generative modeling, or multi-modal approaches, • Skilled at diagnosing bottlenecks, scaling solutions, and balancing innovation against real-world constraints, • Collaboration & Communication, • Comfortable presenting complex ML concepts to non-technical stakeholders, • Passion for iterative development—able to pivot based on user feedback and product metrics. Bonus Points: • Familiarity with vector search solutions (e.g. Pinecone, Weaviate, or Elasticsearch with vector plugins), • Familiarity with building or deploying large language models and related tooling in the AWS Bedrock ecosystem, • Experience designing or contributing to multi-agent LLM frameworks or orchestrations (e.g., specialized agent-based approaches in advanced NLP) Benefits: • Competitive salary - $180k-240k (NYC based), • Gym reimbursement, • Free cellular service on the best network in the US, • Free lunch in NYC office & fully stocked kitchen, • Metrocard reimbursement, • Flexible working hours \n$180,000 - $240,000 a year\n Think you’d be a great fit? Apply to learn more!

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

Our Machine Learning Engineering Internship is designed to give you a real sense of what it’s like to work at Jane Street full-time as a Machine Learning Engineer. Over the course of your program, you will explore ways to approach and solve cutting-edge ML problems through fun and challenging classes, interactive sessions, and group discussions—and then you will have the chance to put those lessons to practical use. Many classes and activities are shared with our Software Engineering interns, while others focus specifically on machine learning applications and techniques. You will be paired with full-time employees who act as mentors, collaborating with you on real-world ML projects we actually need done. When you’re not working on your project, you will have plenty of time to enjoy our office amenities, explore our physical and virtual educational resources, attend guest speakers and social events, and engage with the parts of our work that excite you the most. If you’ve never thought about a career in finance, you’re in good company. Many of us were in the same position before working here. If you have a curious mind, a collaborative spirit, and a passion for solving interesting problems, we have a feeling you’ll fit right in. Learn more about Jane Street’s ___here. Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing us to incorporate new ideas with relatively little friction. If you’d like to learn more, you can have a look at our Machine Learning ___. During the program, you’ll work on projects mentored closely by the full-time employees who designed them. Some projects consider big-picture questions that we’re still trying to figure out, while others involve building something new. You will get access to our growing GPU cluster containing thousands of H100/H200/B200s and gain an understanding of the differences between textbook machine learning and its application to noisy financial data. The interview process follows the same structure as our ___ Intern interviews, with one key addition: after your initial technical coding interview over Zoom, you'll have an on-site interview with 2-4 technical rounds, including one dedicated to assessing ML engineering skills. We don’t expect you to have a background in finance—we’re more interested in how you think and learn than what you currently know. You should be: • An undergraduate or PhD student with practical experience training an ML model, working on an ML library, or optimizing an ML workflow, • A top-notch programmer with a love for technology, • Intellectually curious, collaborative, and eager to learn, • Humble and unafraid to ask questions and admit mistakes If you're a recruiting agency and want to partner with us, please reach out to .

The rise of generative AI is fundamentally changing how people search for information and discover brands online. Conductor is the only end-to-end, AI-first platform that enables enterprises to create high-performing, valuable content at scale and ensure their brand is found everywhere customers are looking—from Google to generative AI engines like ChatGPT. Recognized by Forrester as a Leader and #1 rated by customers on G2 and TrustRadius, we are committed to building a workplace where our people can grow and make a positive impact. Conductor is a mission-driven company with a commitment to innovation, customer success, and culture. For Conductor, success is improving the lives of everyone in our orbit—our customers, our customers' customers, our employee-owners, and our communities. About the Role We are seeking a skilled and experienced Senior Machine Learning Engineer to join our team. Reporting to the Engineering Director, the successful candidate will take on a pivotal role in designing, developing, and implementing innovative solutions to our customers' problems, while adhering to the standards and principles of our R&D department. The Senior ML Engineer will work closely with data engineers, product managers, application developers, UI/UX designers, and other stakeholders to create scalable, high-performance, reliable, and secure SaaS applications. The ideal candidate is passionate about solving problems, influencing strategic thinking, and mentoring others within the team. Reporting to the Engineering Director, this engineer’s key responsibilities are: • Design and implement end-to-end AI systems and ML pipelines, creating a scalable framework that powers iterative R&D workflows., • Orchestrate multi-model decision workflows and implement efficient agent handoff systems that optimize for both performance and user experience., • Design human-in-the-loop interactions allowing AI agents to collaborate effectively with content marketers, incorporate feedback, and refine workflows autonomously., • Optimize AI models for efficiency, interpretability, and real-world performance in enterprise environments., • Define AI evaluation frameworks and metrics to ensure continuous improvement of models and systems., • Collaborate with cross-functional teams to unlock insights, innovation, and intelligence in our applications., • Stay current with state-of-the-art techniques in AI/ML and apply this knowledge to our architectures., • Mentor other engineers and foster a culture of knowledge sharing and collaboration., • Understand challenges in the SEO space and solve problems, not just deliver features., • 3+ years of experience in software development, with at least 3 years in building scalable and secure SaaS application platforms and systems for intelligent applications., • Deep knowledge of modern technologies including:, • LLM architectures (GPT-4, Claude, Gemini), • Retrieval-augmented generation (RAG) and vector database (Milvus) optimizations, • Multi-agent AI architectures and agentic frameworks, • Experience with model evaluation, including designing self-assessment prompts and implementing performance dashboards using relevant metrics (confidence and perplexity scores, win-rate comparisons between model versions, etc.)., • Proficiency with traditional ML technologies (PyTorch, TensorFlow, AWS SageMaker, MLflow) and strong Python coding skills., • Experience with cloud technologies, particularly in data processing and distributed systems. Knowledge of AWS technologies is a plus., • Excellent communication skills, with the ability to translate complex technical concepts for both technical and non-technical stakeholders., • Solution-oriented approach using rapid prototyping, experimentation, and iterative development., • Self-directed, proactive, and comfortable working across organizational stacks, taking ownership of end-to-end problem-solving in a fast-paced environment. Compensation: Conductor maintains competitive, performance-based compensation programs. The NYC base salary range for this role is currently $110,000 - 130,000 per year. Placement within that range will be dependent on experience. Benefits: Conductor offers the following attractive benefits and perks including: 100% covered employee medical plan, a dental & vision plans, 401(k) with employer contribution, an unlimited vacation policy, 10 sick days, short-term disability, long-term disability, generous paid parental leave, employee assistance program, flexible savings accounts, paid holidays, life and accidental death insurance, and a host of perks. Conductor LLC is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Bringing in diverse perspectives and challenging our assumptions is the clear key to growth; it drives innovation, creativity, faster problem-solving, and stronger decision making. All aspects of employment including the decision to hire, promote, train, discipline, or discharge, will be based on merit, competence, performance, and business needs. Conductor does not discriminate against any employee or applicant 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, or other characteristics protected by state or federal law or local ordinance. In addition, it is the policy of Conductor to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

We are seeking a skilled Machine Learning Engineer to join our growing MLOps team. In this role, you will work closely with our data scientists, data engineers, and platform engineers to develop and deploy machine learning models and pipelines for various classification projects and more. • Develop efficient, clean, and maintainable Python code for machine learning pipelines, leveraging our in-house libraries and tools, • Collaborate with the team on code reviews to ensure high code quality and adhere to best practices established in our shared codebase, • Contribute to building and maintaining our MLOps infrastructure from the ground up, with a focus on extensibility and reproducibility, • Take ownership of projects by gathering requirements, creating technical design documentation, breaking down tasks, estimating efforts, and executing with key performance indicators (KPIs) in mind, • Optimize machine learning models for performance and scalability, • Integrate machine learning models into production systems using frameworks like SageMaker, • Stay up-to-date with the latest advancements in machine learning and MLOps, • Assist in improving our data management, model tracking, and experimentation solutions, • Contribute to enhancing our code quality, repository structure, and model versioning, • Help identify and implement the best practices for ML services deployment and monitoring, • Collaborate on establishing CI/CD pipelines and promoting deployments across environments, • Address technical debt items and refactor code as needed, • 2+ years of experience in machine learning engineering or a related role, • Strong proficiency in Python programming, • Experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn, • Familiarity with cloud platforms like AWS, including services like SageMaker, S3, and Secrets Manager, • Experience with data processing, cleaning, and feature engineering for structured and unstructured data, • Knowledge of software development best practices, including version control (Git), testing, and documentation, • Excellent problem-solving and debugging skills, • Strong communication and collaboration abilities, • Ability to work independently and take ownership of projects, • Experience with Infrastructure as Code (IaC) tools, preferably Pulumi or Terraform, • Experience with classification models and libraries such as XGBoost, SentenceTransformers, or LLMs, • Knowledge of data versioning, experiment tracking, and model registry concepts, • Familiarity with data pipeline and ETL tools like Dagster, Snowflake, and DBT, • Experience with monitoring logs, metrics, and performance testing for batch inference workloads, • Contributions to open-source machine learning projects, • Experience with deploying and monitoring machine learning models in production As part of our team, you'll have the opportunity to shape our MLOps practices and tools from an early stage. We'll provide you with the necessary resources and support to set up your development environment and contribute to our codebase effectively. You'll work on projects focused on building classification systems to clean and augment our data platform. This includes developing data processing pipelines, training and evaluating models, and deploying them to production. You'll also be responsible for monitoring the performance of these models and optimizing them for real-time or batch inference. If you are passionate about building robust machine learning systems from scratch and thrive in a collaborative, fast-paced environment, we'd love to hear from you. Join our team and help us establish best-in-class MLOps practices!

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

Writer is seeking an experienced Developer advocate focused on events and community engagement to join our developer relations team at Writer. An accomplished storyteller with a strong technical background, this developer advocate will represent Writer at events, on social media, and in AI engineering communities to drive awareness of Writer research and technology and adoption of the Writer platform. You will collaborate with product marketing and our research and technology teams to develop high quality technical presentations, represent Writer at engineering and research events through sponsorship and speaking, engage with the AI engineering community on social media and platforms like Discord, and find other creative ways to ensure that the great work Writer is doing is front and center in these communities. When applying, please submit examples of your public speaking that are relevant to your work experience (e.g. recordings of previous talks, slides). If you do not, your application will not be considered. * Speak at high impact AI engineering conferences and meetups in AI hubs like SF, NYC, Chicago, and Austin. * Partner with the strategic events team and work at sponsored technical events, such as technical and research conferences. * Proactively engage in AI engineering, ML, and Python communities through social media and platforms like Discord and Reddit. * Run and participate in hackathons and workshops, partnering with other development platforms when it will magnify impact. * Pursue additional opportunities to promote Writer’s models and technology, such as submitting to leaderboards or building engaging public demos. * Appear on podcasts and streams discussing Writer’s research and technology * Assist the rest of the team with technical content creation, docs, and SDKs when needed. * Independently and proactively manage projects in coordination with the team, adhering to deadlines and contributing to our overall developer experience strategy. * Report to our Director of developer relations. * You are obsessed with technical storytelling and deeply understand the critical importance of balancing education with marketing impact. * You understand the nuances of different technical personas working in AI and how to authentically engage with them: researchers, developers, and IT. * You bring at least three years of experience as a developer advocate, software developer, AI/ML engineer, or related role, with a proven track record of impactful public speaking and community engagement. * You have experience with AI and ML, with additional proficiency in Python. For example, you'd feel at home attending and presenting at LLM Paper Clubs. * You have strong analytical and problem-solving skills. * You quickly adapt to new domains and are able to communicate complex ideas and concepts effectively. * You are able to work independently and collaboratively. * You put the audience first, ensuring content is accessible and engaging. * You’re willing and able to travel (30-50%). * Formal or otherwise documented education in machine learning, artificial intelligence, or AI engineering is preferred * Experience developing technical content for an AI company * Experience working in a fast-paced startup environment * Familiarity with building applications that use LLMs 🍩 Benefits & perks (US Full-time employees) * Generous PTO, plus company holidays * Medical, dental, and vision coverage for you and your family * Paid parental leave for all parents (12 weeks) * Fertility and family planning support * Early-detection cancer testing ___ Early-detection cancer testing * Flexible spending account and dependent FSA options * Health savings account for eligible plans with company contribution * Annual work-life stipends for: * Home office setup, cell phone, internet * Wellness stipend for gym, massage/chiropractor, personal training, etc. * Learning and development stipend * Company-wide off-sites and team off-sites * Competitive compensation, company stock options and 401k Writer is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to ___.

The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music and podcasts better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search, original playlists like Discover Weekly and Daylist, and are at the forefront of new innovations like AI DJ and AI Playlists. Generative AI is transforming Spotify’s product capabilities and technical architecture. Generative recommender systems, agent frameworks, and LLMs present huge opportunities for our products to serve more user needs and use cases and unlock richer understanding of our content and users. This Staff Machine Learning Engineer will focus on recommender systems modeling at the intersection of generative recommenders and foundational understanding of user taste across music and talk content formats. You will work closely with a cross-functional team to define and execute the machine learning technical strategy for the product area, building the next generation of Spotify content and user representations and the technical architecture to support it. Join us and you’ll keep millions of users listening to great recommendations every day. \n What You'll Do • Contribute to defining the machine learning technical strategy at the intersection of generative recommenders and foundational user modeling, • Collaborate with a cross functional agile team spanning user research, design, data science, product management, and engineering to build new product features that connect fans and artists in personalized, meaningful ways, • Provide expert technical leadership and direction to accelerate development, ensure scalability and push the boundaries of current methods, • Contribute to designing, building, evaluating, shipping, and refining Spotify’s personalization products by hands-on ML developmentPrototype new modeling approaches and productionize solutions at scale for our hundreds of millions of active users, • Promote and role-model best practices of ML model development, testing, evaluation, etc., both inside the team as well as throughout the organization, • Engage with the broader ML community within Spotify and stay current with ML research to inspire and evolve our approaches Who You Are • You have a strong background in machine learning and recommender systems, and you know how to bridge research and end-user impact, • You have production experience developing large-scale machine learning systems in Java, Scala, Python, or similar languages. Experience with PyTorch, Tensorflow, JAX is a strong plus, • You have hands-on experience training and operating transformer models in production settings, or a strong interest in doing so, • You enjoy leading projects from start to finish working closely with your team and peers, • You are comfortable dealing with ambiguity on high impact projects, • You’re a strong communicator and systems thinker who can drive alignment and influence across technical and product stakeholders, • You care about agile software processes, data-driven development, reliability, and disciplined experimentation, • You stay current on ML trends and are eager to apply emerging ideas to Spotify’s challenges, • You’re passionate about the opportunity to enrich the listening experience for users around the world Where You'll Be • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have ___, • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have, • This team operates within the Eastern Standard time zone for collaboration. \n The United States base range for this position is $215,136- $307,337 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

Valence has built the first-to-market AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance & support to any leader or employee. At Valence, we're not just talking about the future of work – we're actively shaping it. From your first interaction with us, you'll notice we're different. By working here you won't just implement solutions for our clients; you'll be helping to architect the future of leadership in the age of generative AI. And we'll be honest – this is not for everyone. But for those with an insatiable desire to work fast on complex, unsolved challenges with some of the best talent in tech, this could be the career-defining opportunity you've been waiting for. The Role This is a founding Machine Learning Engineer role for our conversational AI coaching product designed for Fortune 500 enterprises, reporting into our ___. In this role you will implement, and optimize machine learning models that power our coaching insights and recommendations. This role is focused on the development and optimization of machine learning models and algorithms, optimizing the underlying ML infrastructure and model development. This role will directly impact our product's core and shape the future of AI-driven leadership coaching for Fortune 500 enterprises. About Valence We're a Series A B2B SaaS company, backed by Insight Partners, that's pioneering the first generative AI leadership coach for large enterprises. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together. We've been featured in Harvard Business Review, and our client list reads like a who's who of global business, including Coca-Cola, Nestlé, General Mills, ServiceNow, AstraZeneca, Experian, and Bristol Myer \n What You'll Do • You will develop scalable data pipelines, optimize models for performance and accuracy, and evaluate them to ensure they are production-ready., • Develop, design and implement improvements in user experience in conversational interactions leveraging LLMs in new ways to advance product goals., • Work with the product team to analyze user behavior and prioritize evolving requirements., • Experiment at a high velocity, conducting statistical analyses, to optimize the end user experience, • Research and development on new Conversational AI approaches leveraging cutting edge LLM/NLP advancements., • Documentation of models, prompts, and processes to increase replicability and drive quality improvements., • Stay current with the latest leading research advancements in ML, LLMs, and Conversational AI, • Support other coding and feature development where required What We're Looking For • Bachelor's degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience, • 3+ years of professional experience (or equivalent) in software engineering, AI/ML development (ideally including a Master's or Ph.D. in Computer Science, ML, Data Science, or a related field), • Practical experience and theoretical knowledge of language technologies such as: dialogue/conversational systems, NLP, and Information Retrieval, • Strong foundation in data structures, algorithms, and software engineering principles., • Proficiency in Python and relevant deep learning frameworks; training (e.g. PyTorch, Tensorflow, JAX, Hugging Face Transformers/Adapters), serving (e.g., Hugging Face TGI//outlines, vLLM), • Experience with LLM model development and deployment ideally including experience with model distillation, supervised fine-tuning using RLHF/DPO, and automatic prompt tuning (e.g. DSPy, TextGrad), • Experience with cloud deployment of ML systems (e.g., AWS, GCP, Azure) including and open systems (e.g. Docker and Kubernetes) and associated ML services., • Strong analytical and problem-solving skills, • Experience structuring and running data-backed experiments, • Strong written and verbal communication skills, • Exposure to early-stage startups, preferably B2B SaaS What You'll Get • Ownership of projects and strategic priorities regardless of seniority in our learning-focused environment., • Strong ties to the executive team, a culture of transparency and engagement with strategic decisions., • Options from day one, which means you will be on the ownership track right away., • Competitive salary and equity packages., • Comprehensive health coverage (medical, dental, and vision) from day 1., • Provision of anything you need to be successful - learning tools, hardware, office equipment, software., • 401k optionality for US based employees, • Generous PTO, company-wide R&R shutdowns and paid leave for parents., • A WFH stipend, phone stipend and support to work in a We Work or other space as preferred. \n Location and Work Environment If candidates are based in NYC or Toronto they can work hybrid in our offices, otherwise this role can be remote. Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions in the US. Diversity and Inclusion We are dedicated to creating a diverse and inclusive environment where everyone feels valued and supported. We encourage applications from candidates of all backgrounds and offer accommodations upon request throughout the hiring process. If you have any questions, please reach out to Allison Langille, Head of People, at . #LI-HYBRID

About Us Resonance is a technology company building a more sustainable and valuable fashion industry for designers, brands, manufacturers, consumers, and the planet. The company’s AI-powered operating system ONE enables brands to design, sell, and make in that order, empowering designers to operate with no unnecessary inventory and eliminating the financial and environmental burdens of the legacy fashion industry. Resonance ONE is our software that powers any apparel company. Resonance ONE uses an emergent behavior model that redefines how garments are designed, sold and made with an “I know nothing” mindset that is constantly learning from our users. Resonance ONE includes the following: • An apparel brand or creator’s digital operating system to launch and run their brand’s business., • An AI Agentic framework, Contracts, and APIs for functions that span the end-to-end creation-to-closet functionality, including everything from 3D volumetric design and collection creation to payments to orders to inventory management and some non-standard processes that are specific to Resonance workflows Headquartered in New York City and Santiago, Dominican Republic, Resonance has partnered with more than 30 brands, including THE KIT and Rebecca Minkoff, to create garments that use 97% less dye, 70% less water, and 50% less material than any other fashion brand—and immediately eliminate overproduction. Want to know more? Visit our website and read articles about us. About the role As a Senior AI Engineer at Resonance, you will be deploying cutting-edge AI solutions for both internal processes and client facing products. This role focuses on pushing the boundaries of what is possible with AI to help revolutionize the Fashion industry and deliver real value. You will be responsible for applying the state of the art while being extremely value focused. You will develop practical AI solutions, including applications of Machine Learning Models and Large Language Models initially focusing on Retrieval AugmentedGeneration (RAG). You will contribute in the design and implementation of these AI-driven systems, working closely with a multidisciplinary team of engineers and domain experts as well as different teams within Resonance. This role is ideal for engineers that are passionate about applying technology to create meaningful and impactful solutions while also recognizing that delivering value and delighting customers trumps all else. Responsibilities • Own the design, development, and deployment of software solutions that build innovative AI tools and models, • Build and maintain the data curation pipelines to feed machine learning models, • Collaborate with cross-functional teams, including product managers and domain experts, to discover, build, and iterate on innovative features and products., • Rapidly develop and iterate on proofs-of-concept to test new ideas and hypotheses to efficiently validate and evolve our software solutions in alignment with strategic objectives, • Master’s degree or higher in Computer Science, Engineering, AI, or Machine Learning or a related field, or equivalent experience., • Minimum of 7 years of experience in software development, with a demonstrated ability to thrive in ambiguous and rapidly-changing environments, with a proven track record of contributing significantly to the successful launch and scaling of new and innovative products, especially in a 0-1 setting., • Experience with AI and machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn, agent and RAG frameworks)., • Exceptional collaboration and communication skills to effectively engage and work along stakeholders from diverse disciplines and varying levels of technical expertise. Ideally, adept at translating complex technical concepts into clear, actionable insights for all audiences., • Hands on experience with AI technologies, particularly in LLM-RAG and machine learning., • Comfortable in cloud environments (e.g., AWS, Azure, GCP) and the full end-to-end process of modern cloud-native software deployment (e.g., Kubernetes, GitOps), • We offer full benefits (medical, dental, and vision), a competitive salary and equity., • Resonance Companies is an equal opportunity employer and values diversity in our company. We do not discriminate based on race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided based on qualifications, merit, and business needs.

Dorsia is at the forefront of hospitality tech innovation. We are revolutionizing the way people experience dining by leveraging cutting-edge technology to offer exclusive restaurant reservations and VIP experiences. Join us as we continue to expand our footprint and reshape the hospitality industry. We’re looking for a Machine Learning Engineer to join our growing team and own the development of intelligent systems that power core product features, personalization, and operational efficiency. You’ll work across the stack—from data pipelines and model training to inference infrastructure and product integration. This is a hands-on, full-stack ML role with a direct line to impact—shaping how members discover experiences, how restaurants manage demand, and how our business scales. What We’re Looking For Must-Haves • 5–10 years of experience in software or ML engineering, • Experience building,shipping and scaling ML models in production (NLP, ranking, classification, etc.), • Strong programming skills in Python and SQL and a good understanding of best practices in software and data engineering, • Familiarity with ML tooling (PyTorch, TensorFlow, scikit-learn), orchestration (Airflow, dbt), and deployment Nice-to-Haves • Experience working on recommender systems, reinforcement learning, graph-based models, marketplace dynamics, or pricing systems, • Understanding of retrieval systems, embeddings, or vector search, • Experience in luxury, hospitality, or marketplace products, • Familiarity with feature stores, and observability tools, • Startup mindset: high agency, comfort with ambiguity, bias to ship Tech Stack Snapshot • Languages: Python, TypeScript, PHP, • Modeling & ML: PyTorch, Hugging Face, scikit-learn, LangChain, • Data: dbt, PostgreSQL, Redis, Airflow, Metabase, • Infra: AWS, Cloudflare, Vercel, Terraform, GitHub Actions Compensation & Benefits: • Salary ranges are based on paying competitively for our size and stage. We determine our pay by considering skills and experience related to the role, location, and ensuring internal equity relative to other Dorsia employees, • Flexible PTO, • Medical, dental, and vision insurance, • FSA, • Commuter benefits, • Free membership to One Medical, • Teladoc, • Talkspace, • Kindbody, • 401(k), • In-office lunch 3 days a week, • Employee Dining Credits Compensation commensurate with experience. Compensation: New York Pay Range$100,000—$200,000 USD Our Core Values Lead with hospitality. We respect the craft and precision that are intrinsic to the hospitality industry. We are a team diverse in background and thought, built to be the connective tissue between artists, chefs, diners, and members. Mise en place. We are persistent in preparation, prioritization, and focus to anticipate our customers’ needs to create a powerful platform rooted in simplicity and elegance. And we know that details matter, which is why superior design is crucial to our brand ethos. Thoughtful design is baked into everything we do—our product, brand, creative, culture, and beyond. Go around the table—then commit. We know creativity takes feedback and iteration, and differing opinions can lead to healthy debate. While we encourage all voices to speak up and be heard, we are geared toward action and unify around the decision once it's made. Sometimes an individual idea or project may not be what’s best for the company, so don’t be afraid to kill your darlings. Our product is our signature dish. We are a product and marketing-led organization. Protecting our brand and vision needs to be top-of-mind with every move we make. Optimize turn times. We are creating beautifully-designed, tech-forward solutions to automate all sides of our business: for members, restaurants, and employees. And we’re laying a data-rich foundation to enable all stakeholders to make better decisions and enjoy the finer things in life. Savor it. We eat slowly and celebrate the wins we share with those around the table. We’re in this for the long-haul, so enjoy the ride. Stay hungry. We can change the world or someone else will. We believe in a sense of urgency to keep pushing toward our goals. And there’s always room for dessert, because there’s always more to do.

The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music and podcasts better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search, original playlists like Discover Weekly and Daylist, and are at the forefront of new innovations like AI DJ and AI Playlists. Generative AI is transforming Spotify’s product capabilities and technical architecture. Generative recommender systems, agent frameworks, and LLMs present huge opportunities for our products to serve more user needs and use cases and unlock richer understanding of our content and users. This Senior Staff Machine Learning Engineer will focus on recommender systems modeling at the intersection of generative recommenders and foundational understanding of personalization across music and talk content formats. You will work closely with a cross-functional team to define and execute the machine learning technical strategy for the product area, building the next generation of Spotify content and user representations and the technical architecture to support it. You will work as an individual contributor, offering the opportunity to shape the direction of Home loading paradigms, page serving, content filtering and content storage. Join us and you’ll keep millions of users listening to great recommendations every day! • Contribute to defining the machine learning technical strategy at the intersection of generative recommenders and foundational user modeling, • Collaborate with a cross functional agile team spanning user research, design, data science, product management, and engineering to build new product features that connect fans and artists in personalized, meaningful ways, • Provide expert technical leadership and direction to accelerate development, ensure scalability and push the boundaries of current methods, • Contribute to designing, building, evaluating, shipping, and refining Spotify’s personalization products by hands-on ML developmentPrototype new modeling approaches and productionize solutions at scale for our hundreds of millions of active users, • Promote and role-model best practices of ML model development, testing, evaluation, etc., both inside the team as well as throughout the organization, • Engage with the broader ML community within Spotify and stay current with ML research to inspire and evolve our approaches, • Partner closely with teams to translate their needs into foundational systems that enable each step of the core content lifecycle., • Mentor engineers and influence technical strategy by setting high standards in methodology, reproducibility, and collaboration., • You have a strong background in machine learning and recommender systems, and you know how to bridge research and end-user impact, • You have production experience developing large-scale machine learning systems in Java, Scala, Python, or similar languages. Experience with PyTorch, Tensorflow, JAX is a strong plus, • You have hands-on experience training and operating transformer models in production settings, or a strong interest in doing so, • You enjoy leading projects from start to finish working closely with your team and peers, • You are comfortable dealing with ambiguity on high impact projects, • You’re a strong communicator and systems thinker who can drive alignment and influence across technical and product stakeholders, • You care about agile software processes, data-driven development, reliability, and disciplined experimentation, • You stay current on ML trends and are eager to apply emerging ideas to Spotify’s challenges, • You’re passionate about the opportunity to enrich the listening experience for users around the world, • You have extensive experience in designing system architectures that include machine learning models as key components in enabling the product experiences., • You have a strong bias to action by building MVPs, prototypes and illustrating ideas through concise documents to drive initiatives forward., • Team-first approach with developed techniques to ensure teams are happy, motivated, and productive, • You enjoy leading projects from start to finish working closely with your team and peers. You are comfortable dealing with ambiguity on high impact projects, • Accountable to senior tech leadership for meeting our product and technology objectives and managing expectations if those are at risk, • Demonstrated success leading technical initiatives and shaping strategic directions through cross-functional collaboration., • Excellent communication skills and stakeholder management abilities; comfortable operating at the intersection of science and engineering, • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have ___, • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have

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

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

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

Company Credit Genie’s mission is to help users take control of their finances, by offering cash advances between paydays, and by providing financial insights into spending habits. Having empowered over 1 Million customers to budget wisely, evade overdraft fees, and minimize credit card payments, we're on an ambitious journey. Our vision is rooted in a world where financial access is universal, and personal financial goals are within reach. This position is based out of NYC. We follow a hybrid work model of 3 days/ week in office. Overview At Credit Genie, AI is not a buzzword. We see this technology as a means to generate additional value for our customers. We are looking for a passionate and pragmatic AI tech lead to design and deliver AI systems for both internal and customer-facing applications. You will be working out of our brand new office in New York City. What You'll Do In this role, you will: * Set the company’s AI roadmap in collaboration with our leadership. * Work in collaboration with a growing team of AI Engineers on the design and execution of AI Proof Of Concepts (POCs). * Collaborate with Product leaders and Engineers from other teams to productionize successful POCs. * Set and maintain high development standards for the team. * Have fun experimenting with new technologies and staying up to date with the latest developments in the field (e.g., through conferences, professional networks, …). Requirements * A PhD in a relevant field (e.g., Machine Learning, Computer Science, Mathematics, Statistics, …) and 4+ years of experience building Machine Learning and AI systems OR Master degree in a relevant field and 8+ years of experience building Machine Learning and AI systems. * Proficiency in Python and modern libraries (e.g., Pydantic, FastAPI, …). * Proficiency in Machine Learning and AI libraries (e.g., PyTorch, TensorFlow, …) and ecosystems (e.g., HuggingFace). * Proficiency in AI agent frameworks (e.g., LangGraph, CrewAI, …). * Proficiency in software development best practices (version control, testing, CI/CD, …). * Working knowledge of cloud development (e.g., familiar with any of AWS, Azure, GCP). Nice to Have * Working knowledge of Kubernetes or other container solutions. * Working knowledge of Infrastructure as Code (e.g., Terraform, AWS CDK, …). * Familiarity with other languages (e.g., TypeScript/JavaScript, Go, Rust, …). Benefits & Perks * Starting on day one, 100% coverage of Medical, Dental, and Vision for you and your dependents, with zero out-of-pocket costs * 401k with a 2.5% match with immediate vesting * Equity in the form of stock options * Free breakfast, lunch, and dinner for onsite employees * Flexible working arrangements * Flexible PTO and Sick leave * Monthly Fitness Reimbursement * Quarterly Fitness Challenge & Prizes * Monthly in-office chair massages Base Pay Range for a Staff Engineer is $150,000 - $250,000 per year. Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of your total compensation and rewards package at Credit Genie. You may also be eligible to participate in the bonus and equity programs. You will also have access to comprehensive medical, vision, and dental coverage, a 401(k) retirement plan with company match, short & long term disability insurance, life insurance, and flexible PTO along with many other benefits and perks. Credit Genie is a proud Equal Opportunity Employer where we welcome and celebrate differences. We are committed to providing a workspace that is safe and inclusive, where everyone feels supported, connected, and inspired to do their best work. If you require any accommodations to participate in our recruitment process, please inform us of your needs when we contact you to schedule an interview

Credit Genie is a mobile-first financial wellness platform designed to help individuals take control of their financial future. We leverage artificial intelligence to provide personalized insights and are building a financial ecosystem by offering tools and services that provide instant access to cash, and building credit. Our goal is to empower every customer to achieve long-term financial stability. Founded in 2019 by ). Backed by Khosla Ventures and led by industry pioneers from companies such as; PayPal, Square, and Cash App, we are well positioned to build the future of inclusive finance through cutting-edge technology and customer-centric solutions. As a Staff Machine Learning Engineer, you will be responsible for building and maintaining our Machine Learning (ML) and Artificial Intelligence (AI) infrastructure, and to help our team build, deploy, and monitor ML and AI models and services. Additionally, you will provide hands-on technical leadership and mentorship for a growing team of AI/ML Engineers. The successful candidate will have a strong background in ML, and significant prior experience in delivering end-to-end Software Development projects. This role is expected to collaborate very closely with our AI/ML team as well as with Credit Genie’s Engineering, Data Engineering, and Product teams. * Responsible for building the Engineering foundation for the Data Science and ML/AI team, and for setting the company’s ML/AI Engineering roadmap in collaboration with our leadership team. * Collaborate hands-on with Data Scientists and ML/AI Engineers to deliver production-grade ML/AI systems that support critical areas of our business (e.g., Risk and customer-facing in-app experiences). * Collaborate with leads from Engineering, Data Engineering, and Product to expand the existing technological stack of the company and support ML/AI-specific requirements. * Responsible for setting and maintaining the highest ML Engineering standards in the Data Science and ML/AI team. * Have fun working on hard and highly impactful problems. * 8+ years of Backend Software Development experience and demonstrated prior experience working with ML/AI teams in a technical leadership capacity. * Strong foundation in Software Development and prior experience leading impactful ML software projects. * Strong foundation and demonstrated prior experience with Version Control, Infrastructure as Code, Testing, CI/CD, Monitoring and Observability. * Demonstrated ability to deliver end-to-end production-grade ML solutions (e.g., experience with databases and data warehouses, streaming vs. batch data ingestion, feature engineering and versioning of features, Jupyter Notebooks and similar ML development environments, building and testing prediction services, versioning model artifacts, …). * Significant prior experience with ML-specific technologies such as Feature Stores/Feature Platforms and Model Registries, and demonstrated knowledge of ML-specific architectural patterns and tradeoffs (real-time vs. batch prediction, batch features vs. streaming features). * Proficiency in multiple programming languages beyond Python (e.g., TypeScript, Rust, Go). * Experience with the AWS cloud. * Experience with Snowflake. * Experience with ML/AI tools and frameworks (scikit-learn, PyTorch, Tensorflow, LangGraph/CrewAI/PydanticAI). Our goal is to provide a comprehensive offering of benefits and perks that promote better financial, mental, and physical wellness. We believe working alongside each other in person is the best way to build a great product and foster a strong company culture. Our expectation is that employees are in the office five days a week, allowing for optimal collaboration, inclusivity, and productivity. At the same time, we understand that life happens and recognize the importance of flexibility. We are committed to supporting our employees when circumstances arise that require remote work or adjusted schedules. Our goal is to ensure everyone can effectively balance personal and professional responsibilities while maintaining our collaborative and productive environment. Here are some highlights of our benefits and perks offerings, feel free to ask your recruiting partner for more details on our comprehensive offering for employees. * 100% company-paid medical, dental, and vision coverage for you and your dependents on your first day of employment. * Monthly fitness reimbursement up to $100 or a full membership to LifeTime Fitness * 401(k) with a 2.5% match and immediate vesting * Meal program for breakfast, lunch, and dinner * Life and accidental insurance * Flexible PTO Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of your total compensation and rewards package at Credit Genie. You may also be eligible to participate in the bonus and equity programs. You will also have access to comprehensive medical, vision, and dental coverage, a 401(k) retirement plan with company match, short & long term disability insurance, life insurance, and flexible PTO along with many other benefits and perks. Credit Genie is a proud Equal Opportunity Employer where we welcome and celebrate differences. We are committed to providing a workspace that is safe and inclusive, where everyone feels supported, connected, and inspired to do their best work. If you require any accommodations to participate in our recruitment process, please inform us of your needs when we contact you to schedule an interview.

✍🏽 About Writer Writer is the full-stack generative AI platform delivering transformative ROI for the world’s leading enterprises. Named one of the top 50 companies in AI by Forbes and one of the best places to work by Inc. Magazine, Writer empowers hundreds of customers like Accenture, Intuit, L’Oreal, Mars, Salesforce, and Vanguard to transform the way they work. Writer’s fully integrated solution makes it easy to deploy secure and reliable AI applications and agents that solve mission-critical business challenges. Our suite of development tools is powered by Palmyra – Writer’s state-of-the-art family of LLMs — alongside our industry-leading graph-based RAG and customizable AI guardrails. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team of over 250 employees thinks big and moves fast, and we’re looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work. 📐 About this role Writer is looking for an AI engineer with a strong software engineering background to join our expanding team of AI experts. At Writer, we believe in using the power of AI to unlock the potential of the enterprise. With the help of our AI engineers, we can continue to build the most advanced language model available in the industry and revolutionize how companies interact with AI. We’re looking for a creative problem solver who has a deep understanding of NLP and ML technologies and who can help us create powerful and meaningful applications of AI. As an AI Engineer at Writer, you'll play a pivotal role in developing and implementing state-of-the-art generative AI models and algorithms. Collaborating closely with our diverse and dynamic team of software engineers, data scientists, and researchers, you'll be able to design and deploy AI solutions that drive our innovative products. If you’re passionate about using AI to transform the enterprise, then we want to hear from you. 🦸🏻‍♀️ Your responsibilities * Collaborate closely with our broader engineering team, data scientists, and AI engineers to evolve our software architecture as we productize new AI-powered capabilities * Evaluate the performance of AI models & systems through rigorous testing and experimentation. * Deploy LLM-based applications in production, evaluating and improving their performance over time * Collaborate with our skilled software engineers to seamlessly integrate AI-powered capabilities into production systems, ensuring scalability and efficiency. * Stay up-to-date with the latest advancements in AI and machine learning research, and proactively suggest improvements to enhance our generative AI capabilities. * Collaborate closely with cross-functional teams to understand business requirements and translate them into innovative AI solutions. * Own the design, implementation, and maintenance of robust and scalable production retrieval and agentic systems * Implement strong testing and CI/CD practices that help us move with confidence in our AI system development ⭐️ Is this you? * Bachelor’s degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience * High level of coding proficiency using Python * 5+ years of professional experience in software engineering, AI/ML development including: * Proficiency with production software (Python) and systems design * Machine learning algorithms and model development techniques * ML lifecycle tools like MLflow, dvc, weights & biases * Cloud deployment of ML systems * Professional experience with LLMs and large-scale models * Very strong software engineering skillx with a track record of building scalable, distributed product machine learning systems * Strong analytical and problem-solving skills * Ability to communicate complex ideas and concepts effectively * Ability to work independently and collaboratively Preferred Skills: * Experience building scalable applications with LLMs, using frameworks such as LangChain, LlamaIndex, Hugging Face, etc * Depth of knowledge with RAG implementation and improvements Curious to learn more about who we are and how we operate? ___ Curious to learn more about who we are and how we operate? 🍩 Benefits & perks * Generous PTO, plus company holidays * Medical, dental, and vision coverage for you and your family * Paid parental leave for all parents (12 weeks) * Fertility and family planning support * Early-detection cancer testing ___ Early-detection cancer testing * Flexible spending account and dependent FSA options * Health savings account for eligible plans with company contribution * Annual work-life stipends for: * Home office setup, cell phone, internet * Wellness stipend for gym, massage/chiropractor, personal training, etc. * Learning and development stipend * Company-wide off-sites and team off-sites * Competitive compensation, company stock options and 401k Writer is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to ___.

Spotify is looking for a Staff ML Engineer to join the Native Ads product area in the Music Mission. In Native Ads, we build consumer and industry-facing music promotion products which provide creators new avenues for promoting their work, reaching new audiences, and deepening their connections with fans. You will play a crucial role in shaping the future of Native Ads products, technology and business, and represent Native Ads in the continuously evolving Coordinated Promotions ecosystem by collaborating with key partners in PZN and Ads. As the Staff Machine Learning Engineer for this team, you will work with a cross-functional team to define and execute a Machine Learning technical strategy for the product area. Working with a team of Engineering Managers, Staff and Senior Staff Engineers, along with a team of engineers and partners in PZN, you will shape and drive initiatives that tackle complex problems surrounding campaign forecasting, serving observability and targeting optimization with the goal to improve overall supply and campaign performance. You will build ML-driven solutions to bring promotional music experiences to our 350+ million active users on behalf of millions of artists, using a diverse range of datasets including user behaviors, contextual data, and other signals across our broad range of mobile and connected platforms. Above all, your work will impact the way the world experiences music and the way creators connect to their fans! • Lead the creation of a Machine Learning Engineering Strategy for Native Ads, • Contribute to designing, building, evaluating, shipping, and refining Native Ads products via hands-on ML development, • Collaborate with a cross functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans., • Prototype new approaches and productionize solutions for Spotify For Artists customers, • Help drive optimization, testing, and tooling to improve quality., • Work closely with Personalization and Music Tech Research teams to ideate and innovate on Music Promotion Tools, • You have a strong background in machine learning, with experience and expertise in machine learning algorithms., • You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages., • You have experience or a strong interest in emerging agent technologies and generative recommender systems, • You care about agile software processes, data-driven development, reliability, and disciplined experimentation, • You enjoy leading projects from start to finish working closely with your team and peers. You are comfortable dealing with ambiguity on high impact projects, • Be accountable to senior tech leadership for meeting our product and technology objectives and managing expectations if those are at risk, • Passion for the opportunity to better serve artists & their teams, • Team-first approach with developed techniques to ensure teams are happy, motivated, and productive, • A plus if you have experience with Ads systems, • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have ___, • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have

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

The Personalization (PZN) team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts, and audiobooks better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build—from flagship playlists like Discover Weekly and Daily Mix to entry points like Home and Search. The Next Generation Sessions (NextGen) product area within PZN is reimagining listening beyond the playlist. We invent cutting-edge personalized sessions like AI DJ, AI Playlist, Blend, Jam, and vertical feeds for discovering music and podcasts. Our team of ~100 engineers, scientists, product managers, and domain experts in music, podcasts, and voice collaborate across New York, Boston, London, Stockholm, and remote locations from Eastern US through Central European time zones. As an MLE II / AI Engineer in NextGen, you’ll be part of a cross-functional team inventing new AI-powered listening experiences. You’ll explore emerging AI capabilities, prototype end-to-end products, and help bring new features from concept to launch to millions of users. This is a fast-paced, high-growth role ideal for someone early in their career who is eager to learn by building, collaborate closely with senior engineers and researchers, and stay at the forefront of AI applied to music and talk content. If you're passionate about the intersection of AI and music and podcasts, obsessed with exploring new AI capabilities, and excited to shape the future of audio, bring your ideas—we’ll invent the next generation of audio together. • Rapidly prototype, iterate, and ship AI-powered music and podcast recommendation experiences using the latest capabilities of LLMs, agent frameworks, and Spotify’s recommender systems, • Continuously explore and evaluate new models, tools, libraries, and product trends—bringing fresh ideas into the team from the frontiers of AI and open-source innovation, • Promote and model best practices in AI engineering—including the use of LLMs and agents to power products, advanced evaluation strategies, and AI-assisted coding tools, • Leverage AI coding assistants to rapidly prototype full-stack MVPs, • Collaborate with cross-functional partners—including design, user research, product, data science, tech research, and engineering—to bring new ideas from concept to launch, • Develop a keen eye for software quality, learning to critically evaluate AI-generated code to ensure it meets Spotify's high standards for correctness, performance, and engineering best practices, • Grow your skills with access to Spotify’s comprehensive career development resources and encouragement to develop across disciplines, • Build a strong foundation and culture in AI engineering by leveraging the state of the art, learning from mentors, pairing with Staff engineers, and shipping code that reaches hundreds of millions of users, • You’re a full-stack AI prototyper: building your own projects with modern AI tools, experimenting fast, and iterating based on feedback, • You’re fully plugged into the AI ecosystem—active in online communities, exploring open-source repos, reading papers, trying every new tool you can get your hands on, • You think end-to-end, across the stack—from designing user interactions, to wiring up backends, to building models, to deployment considerations—because you want to see ideas come to life, • You have a working knowledge of machine learning fundamentals and hands-on experience with Python, Java, or Scala and modern ML frameworks like PyTorch or TensorFlow, • You have experience fine-tuning and evaluating LLMsYou have experience building workflows that integrate LLMs and data into autonomous, multi-step workflows, • You have extensive experience crafting prompts to get the results you’re after. You know how to write, improve, and test your prompts to extract value out of LLMs, • You understand the importance of critically reviewing AI-generated code for correctness, quality, and alignment with best practices, • You may have studied AI formally—or you may have taught yourself through hands-on building and deep curiosity, • You thrive in collaborative, interdisciplinary environments and are eager to learn from more experienced engineers, • You’re good at communicating technical topics to less technical peopleYou bring contagious enthusiasm, a creative mindset, and a strong drive to shape the future of AI-powered products., • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have ___ This team operates within the Eastern Standard time zone for collaboration.The United States base range for this position is $138,250- $197,500plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.

Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. Its open-source technology is trusted by over 20,000 organizations worldwide - including more than half of the Fortune 500 - H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Singtel, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include Dell Technologies, Deloitte, Ernst & Young (EY), NVIDIA, Snowflake, AWS, Google Cloud Platform (GCP) and VAST. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, ___ aims to co-create valuable AI applications for all users. H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. About This Opportunity Are you a data scientist or machine learning engineer who enjoys solving real-world problems by applying cutting edge Gen AI/ML algorithms? Are you passionate about working with customers to solve their business challenges? Can you explain complex machine learning concepts in simple business terms? If the answer is “yes”, then we are looking for you! This position is based in New York, NY and open to candidates in Boston, MA; and the Washington, D.C. area. What You Will Do • Deliver data science and/or machine learning professional services to the customers. This will entail working closely with cross-functional teams to gather requirements, preprocess, and analyze data to develop data-driven solutions., • Support customers by helping to build custom data models, transformation, scorers/optimization loss functions/metrics that can be leveraged with H2O Driverless AI and help improve training performance for the customer use cases/domains., • Ability to design and run training sessions for our customers in data science concepts as well as using H2O products. Training will need to be able to be delivered to audiences with varying data science skills and abilities., • Help customers understand the nuances of data science, expert settings of H2O Driverless AI and H2O open source, and the strategies of experiment tuning that you would use to incrementally improve model performance. This also includes explaining model performance, model interpretability, and post deployment model monitoring concepts so as to ensure the business is making the right decisions on the model predictions., • Participate in the development of ML solutions and AI applications for internal use, contributing to the advancement of our technology stack.What We Are Looking For, • Proven experience in software engineering, data science, machine learning, and AI with a minimum of 2 years of professional hands-on experience., • Knowledge and experience of using a variety of machine learning techniques (supervised/unsupervised, clustering, decision tree learning, neural networks, etc.) and their real-world advantages/drawbacks/tuning techniques., • Knowledge and experience of using advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) for practical applications., • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc., • Solid understanding of machine learning algorithms and experience applying Gen AI/ML to solve real work problems, including deployment of end to end ML pipelines, • Interest in Generative AI and Large Language Models (Prompt Engineering, Retrieval Augmented Generation, LLMOps, Making custom LLM models, fine tuning etc, Guardrails), • Strong problem-solving skills and the ability to work independently and as part of a team., • Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders.How To Stand Out from the Crowd, • Experience with solving machine learning problems using H2O products , Python, R., • Experience of visualizing and presenting (EDA) to stakeholders using H2O Wave, or other standard data visualization libraries in the Python and R stacks or using Tableau/PowerBi., • Understanding and experience with post production model monitoring concepts and tools like H2O ML Ops MLFlow etc.Why H2O.ai?, • Market Leader in Total Rewards, • Remote-Friendly Culture, • Flexible working environment, • Be part of a world-class team, • Career Growth, • Salary range: $150,000 - 200,000 +H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit______to learn more. #LI-Hybrid

About the Role At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast. That’s where you come in. As an AI/ML Engineer, you’ll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma. • Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities, • Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more, • Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features, • Tackle novel UX problems at the intersection of AI, BI, and apps, • 10+ years of experience building and deploying production-grade AI/ML systems, • Deep knowledge of machine learning, deep learning, and applied AI, • Experience across the full ML lifecycle: data curation, training, deployment, monitoring, • A track record of building things that ship—whether it’s recommendations, search, machine translation, or something equally complex, • Experience adapting or training foundation models (language or multimodal) for novel domains, • You've built agents that can plan, reason, and use tools, • You know your way around cloud infrastructure (AWS, GCP, Azure), • You’ve worked in a fast-moving startup or high-growth environment Additional Job details The base salary range for this position is $240k - $270k annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package. About us: Sigma is the only cloud analytics and business intelligence tool empowering business teams to break free from the confines of the dashboard, explore data for themselves, and make better, faster decisions. The award-winning software was built to capitalize on the performance power of cloud data warehouses to combine data sources and analyze billions of rows of data instantly via an intuitive, spreadsheet-like interface – no coding required. Since launching with its unique interface, Sigma Computing has added features such as collaboration tools and embedded analytics capabilities. The most recent product launch included a set of AI tools such as forecasting capabilities, an AI copilot and a notebook interface for users who prefer a code-first environment. Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth. Come join us! Benefits For Our Full-Time Employees: • Equity, • Generous health benefits, • Flexible time off policy. Take the time off you need!, • Paid bonding time for all new parents, • Traditional and Roth 401k, • Commuter and FSA benefits, • Lunch Program, • Dog friendly office Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow. Note: We have an in-office work environment in all our offices in SF, NYC, and London.

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

Solid understanding of software engineering principles, including data structures, algorithms, and software architecture design patterns. The ML Engineer I will join the innovative Machine Learning (ML) team at Saks Fifth Avenue, contributing directly to the development and deployment of advanced ma

Our systems are already installed on heavy machines across the country, learning on real construction sites and working to reshape the earth with survey-grade precision and exceptional safety. We are looking for engineers with expertise in shipping production 3D perception systems at scale. The syst

We have an exciting opportunity to join our team as a Machine Learning Engineer. The New York University Langone Health Research IT High-Performance Computing (HPC) Group has an immediate opening for a Machine Learning Engineer. Deploy applications for the HPC research software stack to make sure th

We are seeking a talented Machine Learning Engineer to drive our efforts in leveraging advanced Large Language Models (LLMs) within Cantina Code. Deploy and manage machine learning models and services on AWS. Solid grounding in software-2-software architectures: REST contracts, event-driven workflow

We are seeking a skilled and motivated Machine Learning Engineer to join our Software Engineering team. An ideal candidate has prior experience shipping a model into a production environment end-to-end, comfortably acting as a mixture of software engineer, data scientist and data engineer. Years of

We apply a variety of sophisticated machine learning classification, regression, causal AI, and GenAI-based analyses to survey-based data we collect. Swayable is seeking a Senior Engineer blending Python software development expertise with scientific computing, machine learning, and AI experience to

You will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on projects that delight millions of passengers and drivers. To strengthen our efforts, we are hiring a Software Engineer who will work on improving our routing engine, on bu

Office Location: Lower Manhattan, NY Accrete AI is a dynamic and innovative company focused on transforming the future of artificial intelligence. We specialize in creating advanced AI solutions that turn complex data into actionable insights, driving real-world impact for businesses and government organizations. Our team thrives on creativity and collaboration, working together to push the boundaries of AI technology. At the core of our offerings are our AI agents, designed to autonomously analyze data, generate insights, and make intelligent recommendations. These agents help businesses streamline operations, improve decision-making, and also empower government entities to enhance security, intelligence, and operational efficiency Job Overview: As a Staff Engineer on the AI Platform Team at Accrete AI, you will play a pivotal role in designing, building, and scaling our AI infrastructure. You will lead the development of robust, scalable, and high-performance AI Platform that supports our AI agent applications. This role requires deep technical expertise, leadership skills, and a strategic mindset to drive innovation and ensure the reliability and scalability of our AI solutions. Key Responsibilities: Qualifications: Accrete values diverse experiences and we encourage applicants to apply even if you don’t meet all of the following criteria. While having all of the qualifications listed below can certainly make you a strong candidate, we acknowledge that great candidates aren’t defined simply by a list of skills. If you think you have other experiences that would make you a good match for this role, please apply! • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. PhD is a plus., • Experience:, • 8+ years of experience in software engineering, with a focus on building scalable platforms., • 5+ years of experience in AI, machine learning, or data engineering., • Proven experience leading complex engineering projects from concept to delivery., • Experience working with language models is a plus., • Technical Skills:, • Expertise in programming languages such as Python, Java, or C++., • Strong understanding of AI/ML frameworks (e.g., TensorFlow, PyTorch) and data processing technologies (e.g., Apache Spark, Hadoop)., • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes)., • Proficiency in software architecture, system design, and distributed systems., • Experience with CI/CD pipelines and DevOps practices., • Soft Skills:, • Excellent problem-solving skills and ability to think strategically., • Strong leadership, communication, and collaboration abilities., • Ability to mentor and inspire teams to achieve technical excellence. Benefits: • Comprehensive, competitive benefits: health, dental, vision, prescription, long- and short-term disability and life insurance, and a 401(k) (Traditional & Roth), • Flexible PTO & all U.S. federal holidays off, • Daily catered lunch and a kitchen stocked with snacks and beverages

Our mission is to inspire entrepreneurs and shoppers to find something new. We buy great brands built on Shopify, unlocking liquidity for small business entrepreneurs looking to start new adventures. We manage nearly 50 brands with over 100,000 products across apparel, beauty, home goods, and electronics. Our team of e-commerce experts and engineers uses our proprietary technology and tooling, and advantages from our size, to grow our brands at scale. OpenStore was started in 2021 by top investor and operator, Keith Rabois, a former executive at PayPal, LinkedIn, and Square, and a co-founder of Opendoor. We are backed with $150M+ from world-class investors such as Atomic, Khosla Ventures, Founders Fund, General Catalyst, and Lux Capital. Job Title: Senior LLM Software Engineer Salary Range: $160,000 - $260,000 Join OpenStore as a Senior LLM Software Engineer where you'll play a pivotal role in developing and implementing cutting-edge language models to revolutionize our e-commerce platform. You'll be at the forefront of applying AI technology to enhance customer experiences, optimize operations, and drive innovation in the e-commerce space. Collaborate with a team of exceptional engineers to define and execute the technical aspects of our AI-driven vision. * Design, develop, and deploy large language models (LLMs) to solve complex e-commerce challenges * Optimize LLM performance, focusing on efficiency, scalability, and accuracy for production environments * Collaborate with cross-functional teams to integrate LLM solutions into our existing e-commerce platform * Develop and maintain end-to-end machine learning pipelines for LLMs, from data preprocessing to model deployment * Contribute to the future architecture of key AI systems and frameworks, balancing innovation and reliability * Stay current with the latest advancements in LLM technology and assess their applicability to our projects * Mentor junior team members and contribute to shaping our AI technology strategy and roadmap * You are passionate about AI and its applications in e-commerce * You thrive in fast-paced environments and enjoy tackling complex challenges * You are analytically rigorous and have a bias towards using data to make decisions * You are collaborative, organized, and thoughtful in your approach to problem-solving * You are curious and constantly seek to learn and explore new ideas in the field of AI and LLMs * You take ownership of your work and proactively identify opportunities for improvement * 5-8+ years of software engineering experience, with a focus on machine learning and NLP * Strong expertise in designing, training, and deploying LLMs using frameworks like TensorFlow, PyTorch, or Hugging Face * Proficiency in Python and familiarity with ML libraries and tools * Experience in scaling AI models for production use cases, with a focus on performance optimization and robustness * Solid understanding of algorithms, data structures, and software engineering principles * Familiarity with cloud platforms such as AWS, Google Cloud, or Azure * BSc or MSc in Computer Science, Machine Learning, or a related field * Experience with e-commerce platforms or the Shopify ecosystem is a plus BENEFITS: ✅ Salary range of $160,000 - $260,000 + a competitive equity package + 401(k) ❤️ 100% medical, dental, vision coverage, access to One Medical, Headspace, Spring Health 🏝️ Flexible PTO with 12 holidays, competitive parental leave 💪 Fitness stipend of $1,200 annually paid on a monthly basis 🌸 Fertility reimbursement of $20,000 lifetime benefit from Carrot Fertility 🍕 Breakfast, lunch, and dinner every day of the week from Sweetgreen, Uber Eats Compensation and Bonuses All cash considerations, including base salary and bonuses, are determined based on experience, qualifications, and interview performance. Our comprehensive compensation package includes a competitive base salary and a bonus structure that rewards both individual and company performance. Each employee’s bonus is calculated using a combination of personal achievements and overall organizational success, fostering a culture of individual excellence and collective growth. The specific details of the compensation package, including bonus percentages and performance criteria, will be discussed during the interview process and outlined in the offer of employment. We are committed to recognizing and rewarding exceptional talent while promoting a collaborative environment where individual efforts contribute to our shared success. OpenStore is a proud Equal Opportunity Employer where we welcome and celebrate differences. We are committed to providing a workspace that is safe and inclusive, where everyone feels supported, connected, and inspired to do their best work. If you require any accommodations to participate in our recruitment process, please inform us of your needs when we contact you to schedule an interview.

About EliseAI EliseAI develops cutting-edge conversational AI technology for industries fundamental to our lives: housing and healthcare. Everything is built on the foundation of health and home. Broken systems or ineffective processes in these domains have a disproportionate impact on our quality of life and society’s overall wellbeing. Conversely, any solution or technology that solves problems in these areas will have an impact that ripples far beyond them. That’s the only kind of impact we are interested in having at EliseAI. If you get excited by the thought of working really hard on these kinds of problems, then EliseAI is the right place for you. Why choose EliseAI? As a Software Engineer at EliseAI, you won't just write code; you'll be a driving force behind increasing operational efficiencies for businesses and improving lives. Instead of following a playbook, you’ll be creating it. Every single day you will be challenged to identify how we can scale and execute on it. While working with other talented Engineers, you'll have the opportunity to take on significant ownership, lead projects, and see your ideas come to life. Key Responsibilities * Contribute rapidly to our core software platform that automates the leasing process and helps our customers operate their apartment communities more efficiently * Develop and own new features that increase value for our customers * Propose meaningful improvements to our software architecture and design patterns * Learn and drive engineering best practices * Leverage automating testing and continuous integration/continuous delivery in order to rapidly iterate on our product What we're seeking We’re much more interested in someone who is hungry to learn and perform at a fast growing startup than someone whose resume checks all the boxes. * Ambitious Innovators: We're in search of individuals who share our excitement for AI's potential to drive positive change. Your passion will fuel our mission to transform industries and improve lives. If you're motivated by challenges and ready to make your mark, you're exactly who we're looking for. * Collaborative Contributors: Collaboration is central to our success. We're seeking team players who thrive in a collaborative environment, communicate effectively, and are enthusiastic about learning from their peers. Requirements * Have a startup mindset, ownership, and a proper balance of quality and sense of urgency * Be great at solving problems with little guidance * Have strong bias for action * Have strong system design knowledge * Have 1+ years of Java, C#, Go or Python experience * Willingness to work in person at our office 4-5 days a week Nice to haves include * Understanding of microservices architecture and event-driven distributed systems * Understanding of machine learning and data * AWS experience Benefits In addition to the growth and impact you’ll have at EliseAI, we offer competitive salaries along with the following benefits: * Equity in the company in the form of stock options * Medical, Dental and Vision premiums covered at 100% * Fully paid parental leave * Commuter benefits * 401k benefits * Monthly fitness stipend * A collaborative in-office environment with an open floor plan, fully stocked kitchen, and company-paid lunch. * Fun company social events through our Elise and the City program * Unlimited vacation and paid holidays * We'll cover relocation packages and make the move exciting, not painful! Job Compensation Range The salary range for this role is $240,000 - $300,000. EliseAI offers a competitive total rewards package which includes base salary, equity, and a comprehensive benefits & perks package. Exact compensation inclusive of salary and any bonuses is determined based on a number of factors including experience and skill level, location and qualifications which are assessed during the interview process. Additional details about total compensation and benefits will be provided by our Recruiting Team during the hiring process. EliseAI 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 that employment with EliseAI is on an "at-will" basis, which means that either the employee or the company may terminate the employment relationship at any time, with or without cause or notice. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at ___ If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at

About GameChanger: We believe in the life-changing impact youth sports have on and off the field because they encourage leadership, teamwork, responsibility, and confidence—important life lessons that have the power to propel our youth toward meaningful futures. We recognize that without coaches, parents, and volunteers, organized youth sports could not exist. By building the first and best place to experience the youth sports moments important to our community, we are helping families elevate the next generation through youth sports. So if you love sports and their community-building potential, or building cool products is your sport, GameChanger is the team for you. We are a remote-first, dynamic tech company based in New York City, and we are solving some of the biggest challenges in youth sports today. The Position: GameChanger users already live stream and watch millions of hours of youth sporting events and clips using the GameChanger app, and we’re looking for a Senior Full Stack Software Engineer to help lead the expansion of our video capabilities. You will be part of the newly formed video team which owns our video pipeline end to end, evolves our live streaming and post-game video capabilities for users, simplifies the developer experience for product teams that integrate video into our apps, and ensures we have a scalable and resilient platform to handle millions of streams and hundreds of millions of highlight clips annually. As a Senior Full Stack Senior Software Engineer, you’ll be a hands-on engineer helping the team to build and support our video platform. You will collaborate within our team and other platform and product teams to develop video-related projects that grow our streaming capabilities, handle our increasing scale, and improve our users’ experience with video to ensure that fans can always capture and watch the moments that matter to them most. As a member of this team, you’ll give input into decisions that influence the entire video stack: mobile broadcast and playback frameworks, back-end ingest/transcoding/playback infrastructure, VoD storage and playback, and hooks for other workflows such as automatic highlight clipping, advertising, live-stream overlays, and AI/Computer Vision workflows. You will report to the Senior Engineering Manager of our Video team. Check out some of our current video capabilities at ___ Check out some of our current video capabilities at What You’ll Do: * Working in your team of mobile, web, back-end, and infrastructure engineers, you’ll help to design, implement/code, and support video features across the video pipeline stack, including live video ingestion, transcoding, integration, storage, and playback/usage at scale. * Work on our backend video platform ( written in TypeScript) providing APIs for other teams to build customer experiences from. * Collaborate with other members of the team and other teams including: mobile, web, machine learning/computer vision, and platform teams on multi-faceted projects across the entire video processing system to lead improved user experiences and outcomes. * Review and provide feedback on designs and code/PRs. * Help build internal SDKs, frameworks, and tooling to allow product development teams to easily integrate video into the product at different stages of the video pipeline. * Help build real-time monitoring and measurement systems for critical operational workflows in the video pipeline, including tools for on-call developers and customer support to manage and troubleshoot issues. Support the video workflows through an occasional (few days per month) on-call rotation with a team of other engineers. * Help interview and onboard other software engineers in the video and live-streaming space. * Be able to be in an on call rotation to support our production systems if issues arise off hours. What You’ll Bring: * Background in video and audio streaming with a focus on live-streaming of user-generated content. * Understanding of the basics of audio and video packaging principles, codecs, and other associated tools, including their relative tradeoffs, such as MPEG Video, MPEG-2 TS, HLS, DASH, H.264 AVC, H.265 HEVC, VP9, AV1, VVC, RTMP/enhanced RTMP, SRT, FFMPEG, and DRM. * Hands-on software development experience designing and building live and video on demand streaming workflows and exposure to video technologies around mobile broadcast, ingest, transcoding, storage, playback, and related systems at scale. * 5+ years of experience reading (preferably coding) in languages commonly used in the video space, such as c#/golang/C++/Rust/Python, and experience in other higher-level languages such as Node/TypeScript, React, or mobile languages like Kotlin or Swift. * Familiarity with mobile video broadcasting of user-generated content and the challenges of optimizing streaming quality and reliability across a variety of devices and network conditions. * Hands-on experience with one or more video players. * Experience designing/building/connecting internal APIs/SDKs across the stack (backend to front end) to ensure rapid feature development. * Willingness to mentor/train/work with other teams through documentation and live sessions on the best way to accomplish building features using the system we build/own. * Front end development experience in web, iOS (Swift), or Android (Kotlin) required. * Experience building and supporting scalable video pipelines in cloud environments is a huge plus. We use AWS but any cloud/container experience is fine. * Proficiency in CI/CD tools (Jenkins, GitLab, etc.) Who You Are: * Experience creating detailed technical documentation that details how to break down complex projects and technical details for team members of varying expertise. * Comfortable working across multiple technologies, programming languages, and areas of the video stack. * Able to effectively collaborate within your own and other technical teams. * Someone who has experience learning the latest tech in the mobile and live streaming spaces. Perks: * Work remotely throughout the US* or from our well-furnished, modern office in Manhattan, NY. * Unlimited vacation policy. * Paid volunteer opportunities. * Technology stipend - $4,000 every 2 years after your start to make sure you have the latest and greatest technology * WFH stipend - $500 annually to make your WFH situation comfortable. * Learning stipend - $500 annually towards continued development * Monthly physical, mental, wellness & learning stipend offered through Holisticly * Monthly lifestyle stipend offered through Fringe * Full health benefits - medical, dental, vision, prescription, FSA, HRA, HSA, and coverage for family/dependents. * Family building benefits offered through Progyny * Life insurance - basic life, supplemental life, and dependent life. * Disability leave - short-term disability and long-term disability. * Retirement savings - Traditional and Roth 401K plans are offered through Vanguard, with an immediate company match. * Generous parental leave. * DICK’S Sporting Goods & their family of brands teammate discount. The target salary range for this position is between $160,000 and $200,000. This is part of a total compensation package that includes incentive, equity, and benefits for eligible roles. Individual pay may vary from the target range and is determined by several factors including experience, internal pay equity, and other relevant business considerations. We constantly review all teammate pay to ensure a great compensation package that is fair and equal across the board. *DICK'S Sporting Goods has company-wide practices to monitor and protect us from compliance and monetary implications as it pertains to employer state tax liabilities. Due to said guidelines put in place, we are unable to hire in AK, DE, HI, IA, LA, MS, MT, OK, and SC. We are an equal opportunity employer and value diversity in our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. IMPORTANT NOTICE: All official recruitment communications from GameChanger will come from an email address ending in @___ or . If you receive communication from any other domain, please be cautious, as it is likely fraudulent.

Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 97M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit ___. The Storage Infra team is looking to hire a Staff software Engineer who is excited to solve large scale storage infrastructure problems. Reddit’s mission is to bring community and belonging to everyone in the world. Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet. From pets to parenting, skincare to stocks, there’s a community for everybody on Reddit. For more information, visit redditinc.com. Our community of users generates over 100B analytics events per day, each of which is ingested by the Data Infrastructure team into a data warehouse that sees 55,000+ daily queries. We utilize this data to enable both batch and streaming data usage at the company. The team also owns our Streaming Platform that is built using Flink Our caching layer servers 100s of millions of queries/second serving 100s of billions of keys. We are responsible for efficiently storing 100s of terabytes of data. As a staff engineer, you will partner closely with your team and our biggest users (ML/AI/Search) to build technical solutions that can scale to Reddit’s product growth. You’ll do this while maintaining an extremely high availability and reliability bar to ensure that Reddit’s users continue to get a great experience across our entire product portfolio. In your day-to-day, you can expect to: • Contribute to developing the team and organization’s long term technical strategy., • Refine and maintain our data storage infrastructure to support the storage and caching needs of products supporting hundreds of millions of users., • Own the infrastructure (managed and self-hosted) that supports data writes, reads and storage along with the necessary tooling and automation to efficiently operate the infrastructure., • Mentor other engineers on how to design, build, and evangelize services used by hundreds of engineers across Reddit Who you might be: • 7+ years of coding experience in a production setting writing clean, maintainable, and well-tested code., • Excellent communication skills to collaborate with stakeholders in engineering, data science, machine learning, and product., • Experience with object-oriented programming languages such as Go, C++ or Java., • Degree in Computer Science or equivalent technical field., • Experience working closely with Storage technologies like Postgres, Mysql, Cassandra, Redis, Memcache is a huge plus! Benefits: • Comprehensive Healthcare Benefits, • 401k Matching, • Workspace benefits for your home office, • Personal & Professional development funds, • Family Planning Support, • Flexible Vacation (please use them!) & Reddit Global Wellness Days, • 4+ months paid Parental Leave, • Paid Volunteer time off #LI-remote, #LI-JS5 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit ___. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base pay range for this position is:$206,700—$289,400 USD Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at ___.

ABOUT FANDUEL FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product. In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico. The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia. FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT). THE POSITION Our roster has an opening with your name on it As a Software Engineer within FanDuel’s Trading Solutions team, you will be an essential part of a cross functional agile team that directly impacts our business. You will work collaboratively with a team to implement creative, high-quality solutions, scope effort and timelines, and balance priorities of our stakeholders and engineering needs. This team will work closely to deliver exceptionally high-quality software, while taking pride and ownership in testing, deploying, monitoring, and maintaining that software. Our engineers own every part of the software delivery lifecycle. You will work directly with quantitative analysts at FanDuel to improve the major US sports platforms. You will be a domain expert on price modeling implementation and how that fits into the larger Risk and Trading landscape. You will go beyond the software developer role, and will be called upon to identify opportunities yourself in the quantitative space to innovate through technology. In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs. THE GAME PLAN Everyone on our team has a part to play You are a significant and autonomous contributor. Your work is consistently of high quality. You solve difficult problems, applying appropriate technologies and best practices. You work with your team to invent, design and build software that is stable and performant. You limit the use of short-term workarounds. You do things with the proper level of complexity the first time (or at least minimise incidental complexity). You create flexible software without over-engineering. You make appropriate trade-offs, re-use where possible, and are judicious about introducing dependencies. You are efficient with resource usage (e.g., system hardware, database, memory/CPU, etc). We are looking for engineers to actively engage in technical discussions, assist in designing and implementing solutions, and deliver constant improvements to our systems. We want you to be excited about constantly learning and driving your professional development. You should have many of the following skills and be eager to build the skills you don’t have: • You work in project ideas with stakeholders, and peers, • You own parts of product and technology & become subject matter experts, • You write simple and extendable code following standards and best practices. You test your code thoroughly, • You help balance customer requirements with the team requirements, • You help your team evolve by actively participating in the code review process, design discussions, team planning, and ticket/metric/COE reviews, • You classify, store, and handle data in accordance with FanDuel policies, • You track security risks and mitigate and/or escalate them in a timely manner, • You focus on operational excellence, constructively identifying problems and proposing solutions, • You take on projects and make software enhancements that improve the team software and processes, • You work to resolve the root cause of complex problems, leaving software better and easier to maintain than when you found it, • On-call rotation where required. You provide excellent customer support, • You keep yourself up to date with market standards, open-source framework, • Creative problem-solving ability, • A passion for learning and always getting better, • Most importantly, you are; humble, pragmatic, self-managed, thirsty for knowledge, never satisfied and always challenging the norm. Responsible for the state of the code you both inherit and produce THE STATS What we're looking for in our next teammate • Degree in Computer Science, Data Science, Engineering, Mathematics, Physics, or related discipline., • 2 or more years of industry experience in an Engineering field, Machine Learning, Data Science, Finance Engineering, or Statistics., • Proficient in building services with a modern OOP language (C# experience is beneficial)., • Understanding of performance, hardware, and lower level memory management (C, C++, or Rust experience is beneficial)., • A fundamental understanding of data structures and algorithms., • Experience working with CI/CD pipeline tooling (BuildKite and GitHub Actions knowledge is beneficial)., • Experience working with cloud-based infrastructure and technologies., • Knowledge of infrastructure as code is nice to have, notably Terraform and Helm., • Experience interacting and designing relational databases, • Experience with streaming technologies, like Kafka, is nice to have., • Ability to document code, research, and designs clearly., • Proficiency in translating requirements into design and developing applications., • Understanding of containers (e.g. Docker), and orchestration (Kubernetes)., • Experience with unit testing, testing tools, integrating testing and best-quality practices into an SDLC., • Experience working in an Agile environment. PLAYER BENEFITS We treat our team right We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: ___. *Benefits differ across location, role, and level. FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or another other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included. The applicable salary range for this position is $125,000 - $156,000 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws. #LI-Hybrid

TensorZero is an open-source stack for industrial-grade LLM applications. It unifies an LLM gateway, observability, optimization, evaluations, and experimentation. See our ___ to learn more. Our ultimate goal is to enable LLM applications to learn from real-world experience. The current offering is the first step towards that vision: it enables a feedback loop for optimizing LLM applications, turning production data into smarter, faster, and cheaper models. There are engineering teams building with TensorZero in all sorts of industries: healthcare, finance, recruiting, developer tools, consumer, etc. Here's a case study: ___ Here's a case study: Our technical team includes a former Rust compiler maintainer, machine learning researchers (Stanford, CMU, Oxford, Columbia) with thousands of citations, and the chief product officer of a decacorn startup. We’re backed by the same investors as leading open-source projects (e.g. ClickHouse, CockroachDB) and AI labs (e.g. OpenAI, Anthropic). We’re lucky to have years of runway, giving us the flexibility to fully focus on open source for now with an ambitious long-term vision. We're looking for a Founding Member of Technical Staff with a background in developer relations. This is the perfect role for a community-minded engineer. You'll work on technical content to drive adoption: demos, integrations & partnerships, documentation, videos, social media, and more. You're a "wartime growth hacker" who can think outside the box, with the technical background to build best-in-class software. We’re a small technical team based in NYC (in person). As an early contributor, you’ll work closely with us and have a significant impact on the project’s future and vision. * Viraj Mehta (Co-Founder & CTO) is an ML researcher with deep expertise in reinforcement learning, generative modeling, and LLMs. He received a PhD from CMU with an emphasis on data-efficient RL for nuclear fusion and LLMs, and previously worked in machine learning at KKR and a fintech startup. He holds a BS in math and an MS in computer science from Stanford. * Gabriel Bianconi (Co-Founder & CEO) was the chief product officer at Ondo Finance ($20B+ valuation) and previously spent years consulting on machine learning for companies ranging from early-stage tech startups to some of the largest financial firms. He holds BS and MS degrees in computer science from Stanford. * Aaron Hill (MTS) is a back-end engineer with deep expertise in Rust. He became one of the maintainers of the Rust compiler… while still in college. Later, he worked on back-end infrastructure at AWS and Svix. He’s also an active contributor to many notable open-source Rust projects (e.g. Ruffle). * Andrew Jesson (MTS) is an ML researcher with deep expertise in Bayesian ML, causal inference, RL, and LLMs. He recently completed a postdoc at Columbia and previously received a PhD from Oxford, during which he interned at Meta. He has 3.3k+ citations and several first-author papers at NeurIPS and other top ML venues. * Kincaid O’Neil (MTS) is a full-stack engineer who previously founded Gathers, a consumer social startup that curated intimate in-person experiences. Before that, he built open-source payments infrastructure for the Interledger Protocol and worked at Coil, Ripple, and Kava. * █████ (incoming MTS) is an ML researcher with a background in causal inference, sequential decision making, uncertainty quantification, and algorithmic fairness (1.2k+ citations). Previously, he was an AI Research Lead at █████ and received a PhD in Statistics from CMU, during which he interned at █████ and █████. * _____ You? * Competitive compensation — We believe that great talent deserves great compensation (salary, equity, benefits), even at an early-stage startup. * Open-source contributions — The vast majority of your work will be open-source and public. * Learning and growth opportunities — You’ll join with a background in design engineering but will have the opportunity (& be encouraged) to expand your skill set way beyond that (curious about ML?). * Small, technical, in-person team — You’ll work alongside a 100% technical team and help shape our vision, culture, and engineering practices. * Best-in-class investors — We’re lucky to be backed by leading funds like FirstMark (backed ClickHouse), Bessemer (backed Anthropic), Bedrock (backed OpenAI), and many angels. We have years of runway and a long-term mindset. * Strong technical background — You’ve tackled hard technical problems. You’re comfortable driving large projects from inception to deployment. * Community leader — You're excited to build a community of developers, teach them about TensorZero, and more. * Technical writing & speaking — You're comfortable writing technical content, public speaking, organizing events, and more. * Hungry for personal growth — There are no speed limits at TensorZero. You’re excited about learning and contributing across the stack. * In-person in NYC — We work in-person five days a week in NYC. We work hard and obsess about the craft – but maintain and encourage a healthy lifestyle with a long-term mindset. You can find us on Github: ___ You can find us on Github:

This role requires eligibility to work in the USA for a US company, and infrequent travel may be required Position Overview: As the Senior / Lead ML Tooling Software Engineer at Atlas AI, reporting to the Head of Engineering, you will be part of the core team defining, building, testing, and delivering our GeoAI platform to enable internal and external Data Scientists (DS) and Machine Learning Engineers (MLE) to implement Geospatial AI models. The Senior / Lead ML Tooling Software Engineer position sits in our Software Engineering team; you will interface with peer software engineers, domain experts, data scientists, machine learning engineers, product designers, and product marketers. You will work at the intersection of our leading AI research activities and software engineering to advance our product roadmap. As the Lead ML Tooling Software Engineer, you will: • Own the design, development, deployment and support of our cloud-scale training services for GeoSpatial Machine Learning models, • Be the Subject Matter Expert ensuring that the Software Engineering team builds and delivers solutions that “just work” for how DS and MLE approach GeoSpatial problems in the real world, • Engage internal collaborators and our end-use partners and customers to understand needs, plan solutions and lead development of deliverables, • Close the feedback loop with Solutions, Engineering and Innovation teams to deliver customer experience and market insights, • Architect and develop serverless solutions that marry products within and across cloud platforms (e.g. GCP, AWS, Azure) that address customers’ needs, • Lead client-oriented API design and development, • Work with designers, product managers, and your fellow engineers to build APIs to support key functionality and use cases, • Actively participate to improve engineering standards, tooling, and processes, • Leverage your experience in early stage startups to make informed decisions that balance speed vs quality, • Three or more years of recent work experience as a practicing Data Scientist or Machine Learning Engineer using PyTorch, sklearn and lightgbm, • Two or more years of recent work experience as a practicing Backend Software Engineer using Python, GDAL and other GeoSpatial tools deployed in the cloud as serverless applications (e.g. GCP Cloud Run) or orchestrated workflows (e.g. Airflow, Argo), • At least three or more years of recent work experience building around Earth Observation use-cases, • Technical ownership of key areas of a Product, such as one or two critical services, • Demonstrable experience with Python, Pandas, PyTorch, GDAL, • Experience with building distributed computing infrastructure flexible for both on-demand and batch processing, • Self-starter attitude, comfortable working independently and in an entrepreneurial, start-up environment; thrives in high-trust environments with minimal resources/backing, • Exceptional interpersonal communication, both written and oral, • Independence and ownership of work in an entrepreneurial, start-up environment, • Applying Geospatial libraries and datasets at scale for user-facing applications, • Developing enterprise PaaS and SaaS products, • Working in early-stage startup environments Please provide a link to your github repo in your CV. We are ideally looking for a candidate in the SF Bay Area, CA or New York, NY (100% remote with two to four meet-ups per year in-person). We offer a casual and inclusive working environment, competitive compensation, and great benefits. We are a values-driven company, and take great pride in building products that are designed to improve lives and foster development across emerging markets. Salary range for candidates depending upon level of experience and location: $170,000 - $200,000. Atlas AI is an equal opportunity employer. All applicants will be considered for employment regardless of race, color, national origin, religion, sex, age, disability, sexual orientation, gender identity, veteran or disability status. This role requires eligibility to work in the USA for a US company, and infrequent travel may be required. Perks & Benefits • Fast-paced and team-oriented environment where you will be instrumental in the direction of the company., • Atlas AI is a 100% remote company with occasional in-person meet-ups in SF, NYC, Nairobi (Kenya) and Kaunas (Lithuania)., • Competitive compensation & equity., • Outsized responsibilities & professional development budget., • Opportunities to travel to conferences, events and other industry-led symposiums., • Training is foundational; functional, customer immersion, and development training., • Medical, dental, and vision insurance including dependents (exact benefits vary by region)., • Unlimited paid time off, with a target goal of 20 days off per year + public holidays (region dependent)., • Paid parental leave (exact benefits vary by region)., • Home office setup allowance, co-working space stipend, and company MacBook., • Monthly wellness benefit., • Opportunities to co-author research papers and patents (role-dependent).

Noetica is solving critical NLP problems at the heart of the trillion-dollar capital markets ecosystem with an in-house machine learning platform and decades of ML PhD expertise. Founded in 2022 and based in New York, our high-caliber team is dedicated to bringing innovation and efficiency to legal and financial industries. We count many of the___ in the world among our customers. To date we have raised ~$30M with our last round (Series A) led by Lightspeed. We're fortunate to have been covered by Matt Levine,, amongst others, and named a top AI company 2024 and 2025 by Business Insider, CB Insights, and others. The global capital markets are among the largest markets in the world valued at $50T+ and growing. Transactions in these markets are complex. Critical, nuanced legal terms are woven into lengthy documents. These documents must be digested and analyzed by many different parties over the course of a single transaction and multiple decisions are made based on the terms laid out and quantitative and qualitative attributes within. This fundamental need plus a booming market drives enormous demand for precise extraction and benchmarking of legal terms. As a Senior Software Engineer, Full Stack at Noetica, you'll be a key architect and builder of a best-in-class document-centric web experience and the design system to power and extend it. You will collaborate with a talented team of ML PhDs, legal SMEs, and market strategists to design, build, and maintain best-in-class product experiences. You'll explore alternative rendering strategies and key framework decisions that will influence the long-term technical direction of our frontend systems. Without your expertise, our platform risks becoming cumbersome and difficult to navigate as our data-rich feature set grows. Your role will directly impact how users engage with Noetica, ensuring we deliver an unparalleled product experience. As a Senior Software Engineer, Full Stack at Noetica, you will: * Architect and own a design system that streamlines development and enables consistency across the platform * Write maintainable, high-performance core components and services as you deliver features end to end, backend to frontend * Explore alternative rendering strategies to optimize the performance of data-rich applications with significant DOM manipulation * Make key framework decisions to ensure that our frontend stack remains high-performing and flexible as our platform evolves * Define clear, efficient API contracts to optimize communication and performance * Uphold and debate code practices and design patterns to ensure long-term maintainability and performance * Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience) * 4+ years of professional full-stack development experience, with a strong focus on frontend architecture * Proficiency in TypeScript and React * Direct experience envisioning and implementing design systems and developing reusable component libraries * Strong foundation in state management, event-driven systems, and web fundamentals * Experience with backend technologies (Node.js, Python, or Go) and API design * Familiarity with containerization and orchestration platforms (Docker, Kubernetes) and hyperscalers (AWS, GCP, etc.) * Strong communication and collaboration skills * Self-starting problem-solving approach biased towards action and scope minimization * Experience exploring alternative rendering strategies and optimizing frontend performance in data-intensive applications * Experience working in single-tenant architectures and strong grasp of CI/CD fundamentals * Well-versed in object-oriented design and familiar with functional programming principles * Interest in language and economics * Thrive in a high-leverage, fast-paced environment The reasonably estimated yearly salary for this role is $180,000-$220,000 USD. You will also be entitled to receive a significant early stage equity package and benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset. We offer numerous employee benefits, including: * Hybrid in-office schedule * Amazing office location next to Bryant Park/Grand Central * 401(k) retirement plan * Wellhub (Gympass) fitness membership * Unlimited PTO * Unlimited sick days * Medical, dental, and vision insurance * Company offsites * Commuter benefits We are an equal opportunity employer. We search for amazing people of diverse backgrounds, experiences, abilities, and perspectives. We take care of each other to create an inclusive work environment where we love to come to work every day. We'd be happy to provide reasonable accommodations to help you apply—just email us at . We hope you can join us.

Backed by leading investors from Silicon Valley, Peregrine supports public safety agencies across the country — from Los Angeles to Louisville to Atlanta — empowering public servants to improve operations and make better decisions in the moments that matter. Today, our technology is used by customers to serve more than 30 million Americans. We’re motivated to build technologies by partnering with our customers; we listen to their needs, learn from their experiences, and develop effective solutions to help them achieve transformational outcomes. Together, we’re creating safer communities, protecting privacy and civil liberties, and helping everyone in America thrive. We are a team of public service entrepreneurs who are passionate about solving hard problems. We trust and help each other, and love diving into challenges together. We believe empathy, curiosity, integrity, courage, and excellent execution are key to building impactful software. If mission-focused work is your north star, come build with us. We’re just getting started. Our Team As an engineering team, we believe strongly that empathy improves our solutions. Seeing how people use the product is a priority and the way we get to the right answer. Engineers will have the opportunity to work closely with our team onsite to understand the variety of use cases that Peregrine serves. We’re looking for a Senior Software Engineer to join our core engineering teams. You’ll work cross-functionally with design and product management to build systems that are robust, scalable, and user-centered. Our teams tackle a range of challenges, from enabling real-time user collaboration on detailed maps to building high-scale backend architecture for ingesting billions of data points. We value both ownership and collaboration—you will take full responsibility for major features and work closely with other engineers to drive them to completion. We believe that humility and empathy are essential for building the right solutions—you will collaborate directly with our deployment team and users as we iterate to solve their problems. Perseverance and creativity are crucial to executing our vision. We are looking for strong developers to join our small but growing team. As a Senior Software Engineer, you’ll have vast ownership across our stacks, making decisions that will have an outsized impact for years to come. You’ll take on some of our most complex challenges—like designing scalable permission systems to manage access to terabytes of data across thousands of organizations. You’ll help build intuitive controls that let organizations decide what data to share, when to share it, and with whom. You’ll also architect frameworks for secure collaboration, enabling seamless partnerships while maintaining data sovereignty and compliance. And you’ll create advanced sharing mechanisms that strike the right balance between openness and security to unlock the full potential of cross-organizational collaboration. Our stack is constantly evolving but based on a backend foundation of Python, Django, Celery, Airflow, and Kafka; a frontend built in React, Redux, and Mapbox; data stores including PostgreSQL and Elasticsearch; machine learning models hosted in Bedrock and Sagemaker; and with AWS, Pulumi, Terraform, and Kubernetes as our underlying infrastructure. About you * Desire and drive to own large portions of the application from start to finish * Passion for crafting and shipping software solutions that delight users * Thrive on ambiguity and love taking on hard problems * Excellent technical vision with the ability to synthesize product requests into strong and reliable software components What we look for • Degree in Computer Science or a related field, or equivalent experience, • 4+ years of experience working with cross-functional software development teams, • Experience shipping and iterating on production-grade software components professionally and / or in the open-source community, • Ability to write robust, well tested, and well-designed code that frequently gets deployed to users, • Solid understanding of architecting and scaling distributed software systems, • Strong best practices in modern software development and comfort navigating large codebases, • Located in NYC and open to working in office Salary Range: $130,000 - $250,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable) Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, certifications or licenses, and specific work location. Information on the benefits offered is ___. Peregrine Technologies is committed to creating an inclusive environment for all employees. We celebrate diversity and are a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Who We Are At Moxxi, we’re redefining performance marketing with cutting-edge technology and a relentless focus on results. As a profitable, bootstrapped start-up, we are led by a team of industry veterans in performance marketing, ad tech, and digital publishing. Together, we’re building the premier platform to incubate, scale, and optimize digitally born businesses, setting new standards for data-driven success. Our entrepreneurial team brings proven experience from both global corporations and fast-growing startups. We’re passionate about delivering scalable, profitable outcomes for our partners through advanced profiling, targeting, and continuous optimization. Joining Moxxi means becoming part of a growing start-up in the heart of NYC, where you’ll have the opportunity to accelerate your career, expand your skill set, and shape the future of performance marketing. As a Senior Software Engineer at Moxxi, you'll play a critical role in building the platforms and tools that power our performance marketing engine. From designing intuitive interfaces in our CMS and CRM to scaling backend systems for real time ad delivery and A -driven optimizations, you’ll operate across the stack to bring ideas to life. You’ll be hands-on with data, APIs, UI components, and machine learning integrations collaborating closely with cross functional teams to solve meaningful business problems through code. If you're passionate about performance, experimentation, and building high impact products in a fast paced environment, this role is for you. • Architect, develop, and maintain scalable and resilient backend systems powering our CMS, AdServer, CMS, CRM, and optimization pipelines., • Build reusable UI components and responsive interfaces that allow marketers to manage, launch, and analyze campaigns with ease., • Build high performance APIs and services that integrate with internal platforms and external ad ecosystems., • Partner with the Account Managers and Operations team to productionize models that drive ad personalization, budget pacing, and bid optimization., • Design and evolve real time and batch data pipelines that support campaign analytics, attribution, and experimentation at scale., • Lead cross functional collaboration with product, design, and business teams to translate requirements into robust software solutions., • Ensure system observability, operational excellence, and uptime across critical infrastructure components., • Mentor junior engineers and contribute to a culture of clean, maintainable, and well-documented code., • Drive technical planning and contribute to the evolution of our platform strategy and long-term architectural vision., • Stay up to date with industry trends in advertising technology, distributed systems, and machine learning and bring relevant innovations into the team., • Take ownership of major initiatives and continuously identify opportunities to improve performance, scalability, and developer experience., • Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience., • 7+ years of professional experience building and maintaining production-grade software systems, including significant experience in full-stack development., • Deep experience writing scalable backend services in Go, ideally within microservice-based architectures., • Proficiency in TypeScript, with experience in frontend frameworks such as React or Angular, and building APIs or server-side logic with TypeScript (e.g., Node.js)., • Experience designing and integrating RESTful APIs and working with distributed systems., • Familiarity with cloud-native development using Google Cloud Platform (GCP) services, particularly BigQuery and Cloud Run., • Understanding of software engineering fundamentals including system design, data structures, and algorithms., • Strong attention to detail, debugging, and performance optimization skills across the stack., • Excellent communication and collaboration skills; able to work effectively with cross-functional teams, including product, data, and design., • A self-starter mindset with a passion for shipping features, solving real-world business problems, and continuously improving engineering practices., • Master’s degree in Computer Science, Engineering, or a related technical field., • Experience in the AdTech industry, especially with ad serving, real-time bidding systems, or content management platforms (CMS), • Familiarity with Ads infrastructure standards, • Hands-on experience with data streaming technologies like Apache Kafka, Pub/Sub, or Kinesis., • Knowledge of infrastructure as code tools like Terraform and container orchestration systems like Docker and Kubernetes., • Exposure to non-relational databases (e.g., BigTable, DynamoDB) and caching systems such as Redis or Memcached., • Prior work on cost optimization, performance tuning, or infrastructure efficiency at scale., • Familiarity with AI/ML-powered ad optimizations, A/B testing frameworks, or campaign experimentation systems., • Awareness of ads regulatory trends, user privacy regulations, and legal compliance within digital marketing ecosystems (e.g., GDPR, CCPA, TCPA). Salary Range $140,000 - $200,000 USD