Staff Machine Learning Engineer

About EarnInEarnIn is a trailblazer in the earned wage access space, dedicated to empowering individuals with financial flexibility tailored for those living paycheck to paycheck. Our community members can access their earnings in real time, enabling them to spend, save, and enhance their financial well-being without burdensome fees, interest rates, or credi…

About EarnInAt EarnIn, a trailblazer in earned wage access, we are dedicated to creating innovative solutions that offer real-time financial flexibility to individuals navigating the challenges of living paycheck to paycheck. Our platform empowers users to access their earnings as they work, allowing them to spend, save, and grow their finances without the burden of mandatory fees, interest rates, or credit checks.With a seasoned leadership team and robust backing from esteemed investors including A16Z, Matrix Partners, DST, and Ribbit Capital, we are poised for rapid growth. We are eager to welcome exceptional talent to join us on our journey as we expand our offerings and impact.POSITION SUMMARYWe are looking for a skilled and collaborative Senior Web Engineer to join our dynamic team. You will play a vital role in our Early Bets initiatives, which are essential for delivering innovative experiences and products to our users, fostering a comprehensive ecosystem of financial solutions. The ideal candidate excels in defining technical solutions amidst uncertainty and works closely with Product teams to clarify requirements. Candidates with a track record of building 0-to-1 products and designing scalable architectures that adapt to rapid product changes will thrive in this role. Experience in early-stage software products or Research & Development for emerging technologies is highly valued.The salary range for this full-time position is $210,000 - $257,000, in addition to equity and benefits. This role is hybrid, requiring in-office work two days a week at our Mountain View headquarters.

About EarnInEarnIn is a pioneering leader in earned wage access, dedicated to creating innovative solutions that provide real-time financial flexibility for individuals navigating the challenges of living paycheck to paycheck. Our community members enjoy the ability to access their hard-earned wages instantly, allowing them to spend, save, and manage their money without incurring mandatory fees, interest rates, or credit checks.Backed by an exceptional leadership team and top-tier investors such as A16Z, Matrix Partners, DST, and Ribbit Capital, we are proud to maintain a robust core business with significant growth potential. We are rapidly expanding and are eager to welcome world-class talent to help define the future of our journey.POSITION SUMMARYWe are on the lookout for an enthusiastic iOS Engineering Intern to participate in our 12-week internship program. In this role, you will have the opportunity to work on impactful mobile features that directly benefit our community, contributing to the production of our iOS applications. You will collaborate closely with teams across iOS, backend, product, and design to create intuitive, high-performance mobile experiences. This internship offers a unique chance to gain hands-on experience in developing user-facing features using cutting-edge iOS technologies, all within a dynamic fintech environment.This role requires hybrid work from our Mountain View office, with an expectation of being in the office 2 days a week. The internship offers a competitive pay of $30/hour, with a commitment of 40 hours per week over the 12-week period.

About UsAt MAI (pronounced “my”), we are committed to revolutionizing advanced advertising technology. Our goal is to make state-of-the-art marketing tools, which were previously the domain of large corporations with extensive budgets, available to all businesses. Our innovative platform employs AI agents to streamline and enhance performance marketing, enabling small to medium-sized enterprises to grow their advertising budgets sustainably without the need for agencies or cumbersome manual campaign management.Founded by experienced professionals from leading ad platforms like Google and Instacart, we have successfully secured $25 million in Seed funding led by Kleiner Perkins to accelerate our growth trajectory. This funding will be directed towards expanding our product and engineering teams, fulfilling our vision of intelligent and autonomous marketing. Our AI agents have already demonstrated their effectiveness, assisting clients in achieving 40% more sales while managing millions in monthly Google Ads expenditures. The demand for our services is growing, as evidenced by our rapidly expanding client waitlist.Why Join Us NowAs pioneers in this new frontier of autonomous, intelligent agents, we are charting our own course, and we invite you to be a part of it.As a Machine Learning Engineer at MAI, you will not merely be writing code; you will be a key architect in creating the ecosystem where our AI agents thrive, learn, and perform. Your contributions will significantly impact our entire technology stack—from the foundational data platforms that supply our agents to the core frameworks that enable intelligent reasoning, to the scalable systems that deliver their insights to our clients. This role presents an exceptional opportunity to develop a truly AI-driven product from the ground up and tackle challenges at the forefront of the industry.You will be part of a small, agile team of fewer than ten engineers, allowing you to make a substantial impact and influence the future direction of our company. We are in the early stages of establishing three core teams:Product Engineering & InfrastructureAI Platform & FoundationAgent Application & QualityYou will have the unique opportunity to develop your skills as these teams grow, leveraging your expertise while also embracing new challenges and learning from your peers to become a more well-rounded engineer.

About CreatifyCreatify is revolutionizing digital advertising by developing the world's first comprehensive AI-driven advertising platform. Our innovative technology automates the entire lifecycle of video ads, from scripting and avatar generation to rigorous testing, optimization, and seamless publishing across platforms like Meta, TikTok, YouTube, and more.In just 18 months, we've achieved over $10 million in Annual Recurring Revenue (ARR) and are proud to serve more than 1.5 million users from over 10,000 teams. Prestigious brands such as Alibaba, HubSpot, Binance, NewsBreak, and Zumper trust Creatify for creating personalized, high-performing video ads in just minutes.With $24 million raised from prominent Silicon Valley investors including WndrCo, Kindred Ventures, and Comcast Ventures, we are positioned for rapid growth. Explore our recent features in Fast Company, TechCrunch, Bloomberg TV, and our recognition as one of IVP Enterprise AI 55 in 2024.Join our passionate team of AI researchers, engineers, and advertising experts in Mountain View, and help us reshape the future of advertising through AI.

Join the AI Revolution at Creatify!At Creatify, we are pioneering the world’s first comprehensive AI advertising platform, automating every aspect of the video ad lifecycle—from creative scripting and avatar-driven production to testing, optimization, and seamless publishing across major platforms like Meta, TikTok, and YouTube.In only 18 months, we’ve achieved over $10 million in annual recurring revenue (ARR) and have empowered more than 1.5 million users across 10,000+ teams. Our innovative platform is trusted by leading brands including Alibaba, HubSpot, and Binance to create personalized, high-impact video advertisements in mere minutes.With $24 million raised from prominent Silicon Valley investors such as WndrCo and Kindred Ventures, we are on a rapid growth trajectory. For insights on our recent achievements, check out our features in Fast Company, TechCrunch, and Bloomberg TV.Based in Mountain View, we are a passionate team of AI researchers, engineers, and advertising experts. Join us as we transform the advertising landscape with AI technologies.

About EarnInEarnIn is a trailblazer in the field of earned wage access, dedicated to creating innovative solutions that provide real-time financial flexibility for individuals navigating the challenges of living paycheck to paycheck. Our community empowers members to access their earnings as they earn them, offering options to spend, save, and invest without mandatory fees, interest charges, or credit inquiries.With a highly experienced leadership team and backing from esteemed partners such as A16Z, Matrix Partners, DST, and Ribbit Capital, EarnIn is in a strong position with a thriving core business and significant growth potential. We are rapidly expanding and eager to onboard world-class talent to help us shape the future of our organization.POSITION SUMMARYWe are looking for a forward-thinking and experienced Director of Machine Learning to spearhead our machine learning initiatives across the organization. As a fintech leader, machine learning is central to our business strategy and enhances user experience. We rely on advanced, scalable ML systems to make impactful decisions and provide outstanding customer value. Our goal is to revolutionize success stories through the application of generative AI and cutting-edge machine learning algorithms, resulting in significant business and societal outcomes.The Director of ML will prioritize operational excellence by crafting and executing a strategy that transitions ML models from research to production, ensuring optimal performance, reliability, and maintainability. The ideal candidate will have a demonstrated history of deploying ML models at scale, particularly in dynamic startup settings. A strong coding background, familiarity with production-level ML engineering, and the ability to connect theoretical frameworks with practical execution are essential.The base salary range for this full-time role in Mountain View is $414,000 to $506,000, accompanied by equity and benefits. Salary ranges are determined by role, level, and location. This is a hybrid position, requiring in-office work two days a week.

The OpportunityJoin our innovative AI team at Otter.ai, driving the future of AI technology to enhance the value derived from meetings and conversations. As a Machine Learning Engineer, you will collaborate with seasoned scientists and engineers to develop and deploy machine learning systems that transform groundbreaking research into production-ready features for our summarization and conversational intelligence offerings.Your ImpactArchitect, build, and evolve large-scale SID / ASR / NLP / LLM systems that are central to our mission-critical product experiences, impacting millions of conversations.Lead the design and implementation of training, fine-tuning, post-training, and inference strategies for large language and speech models using PyTorch and/or JAX, balancing quality, latency, cost, and reliability.Design and improve model architectures, loss functions, decoding strategies, and training techniques for speech and language models, guided by both research and production constraints.Own end-to-end ML system lifecycles from research prototyping through to production deployment, monitoring, iteration, and long-term maintenance.Collaborate closely with product and infrastructure teams to convert cutting-edge research into scalable, production-grade systems that yield measurable user and business impacts.Drive system-level enhancements in model performance, robustness, observability, and operational excellence using real-world conversational data at scale.Establish technical direction and best practices for ML infrastructure, data pipelines, evaluation frameworks, and deployment workflows in a cloud environment.Tackle complex, ambiguous challenges in model behavior, data quality, scaling, and system interactions, often preemptively addressing issues before they impact users.Mentor and elevate fellow engineers, shaping team standards, reviewing designs, and fostering a culture of sound technical decision-making and execution.

About EarnInEarnIn is at the forefront of earned wage access, dedicated to providing innovative solutions that empower individuals to achieve financial freedom, especially those who navigate the challenges of living paycheck to paycheck. Our platform allows users to access their earned income in real-time, enabling them to manage their finances effectively without incurring hidden fees, interest charges, or credit checks.With an exceptional leadership team and strong backing from top-tier investors such as A16Z, Matrix Partners, DST, and Ribbit Capital, we are on an exhilarating growth trajectory. We invite talented individuals to join our mission and contribute to our vision of transforming financial systems for everyday people.Position Summary:If you are eager to pursue a career with EarnIn but don't see a current opening that fits your profile, this is your opportunity! Submit your application, and we will retain your information for future openings. We are always keen to connect with candidates who are passionate about our mission and values.Our team will assess your qualifications and reach out if a suitable position becomes available.At EarnIn, we are committed to cultivating a workforce that mirrors the diversity of the communities we serve. We embrace varied backgrounds and perspectives, fostering an environment where everyone feels a sense of belonging. EarnIn is an equal opportunity employer and does not discriminate based on race, color, religion, gender identity, sexual orientation, or any other protected characteristic. We are also proud participants of the E-Verify program.Please note that we do not accept unsolicited resumes from recruiters or third-party agencies. No fees will be paid for unsolicited candidates.

Join Earnin as a Backend Software Engineer Intern, where you'll have the opportunity to work on real-world projects that impact users' financial well-being. Collaborate with a diverse team of engineers and contribute to our mission of empowering individuals to access their earned wages anytime, anywhere. In this role, you will enhance your skills in backend development by working with cutting-edge technologies and methodologies.

Join Coupang as a Senior Staff Machine Learning Engineer in our AI Foundations team, where you will be at the forefront of developing innovative machine learning solutions that enhance customer experiences. This role involves designing, implementing, and optimizing algorithms and models that drive intelligent decision-making and automation within our platforms.

About EarnInEarnIn stands at the forefront of earned wage access, committed to providing innovative products that offer real-time financial flexibility for individuals navigating the challenges of living paycheck to paycheck. Our community members can access their earnings as they acquire them, with the freedom to spend, save, and grow their finances without mandatory fees, interest rates, or credit checks.With a highly experienced leadership team and world-class funding partners such as A16Z, Matrix Partners, DST, and Ribbit Capital, we are experiencing rapid growth. We are eager to welcome exceptional talent to our team to help shape our future growth trajectory.POSITION SUMMARYWe are on the lookout for a Senior Product Manager to spearhead our Early Pay initiative. This distinctive product empowers customers to unlock their paychecks and other credits ahead of schedule. By integrating Early Pay with the EarnIn card, users can further enhance their financial experiences by accessing earned wages in real-time.This position is based in Mountain View and requires in-office attendance 2-3 days per week. The salary range for this full-time role is $206,280 - $252,120, along with equity and comprehensive benefits. Our compensation structure is determined by role, level, and location.WHAT YOU'LL DODefine the vision for a new product area and articulate your product vision, roadmap, and outcomes to your team, stakeholders, and customers.Guide a diverse team of engineers, designers, and data analysts to create and scale impactful customer experiences.Take ownership of a business area from start to finish, driving both financial and customer outcomes.Foster a dynamic environment that promotes product iterations and growth.Lead a cross-functional team to build and expand your products.WHAT WE'RE LOOKING FORA minimum of 4 years of product management experience at a consumer technology company.A strong technical foundation, ideally with experience in payroll software and financial services.Proven analytical skills with the ability to use data to inform product decisions and enhance key metrics.A keen product/design sense demonstrated through the successful launch of delightful and innovative products.Outstanding communication skills to effectively engage with executive leadership and key stakeholders.

DataVisor stands at the forefront of AI-driven fraud and risk management solutions, providing unparalleled detection capabilities within the industry. Our innovative SaaS platform allows for seamless integration and enhancement of diverse data sources, enabling organizations to respond to rapidly changing fraud and money laundering scenarios in real-time. With our proprietary unsupervised machine learning technology, robust device intelligence, and a powerful decision engine, we ensure substantial performance improvements from day one. Our platform is designed to accommodate a variety of applications across multiple business units, significantly reducing the total cost of ownership when compared to traditional point solutions. Recognized as a leader in our field, DataVisor is trusted by numerous Fortune 500 companies globally.Our acclaimed software platform is driven by a team of top-tier professionals specializing in big data, machine learning, security, and scalable infrastructure. We foster a culture of openness, positivity, collaboration, and results-oriented work. Join us in transforming the future of fraud detection!Position Overview:As part of our platform engineering team, you will contribute to the development of a next-generation machine learning platform, integrating our unique unsupervised machine learning (UML) techniques with supervised machine learning (SML) algorithms. Your role will involve enhancing our core detection algorithms and automating the comprehensive training process.With the rise of sophisticated fraud attacks, real-time detection is more crucial than ever. The platform team is tasked with constructing the architecture that supports real-time UML capabilities. We are seeking inventive and enthusiastic engineers to aid in the expansion of our novel streaming and database systems, which are essential for our detection functionalities.Join us in pushing the limits of what is achievable in fraud detection and large-scale data processing, and help us introduce innovative solutions to this critical domain.

About EarnInEarnIn is at the forefront of earned wage access, dedicated to creating solutions that empower individuals who live paycheck to paycheck. Our innovative products enable users to access their hard-earned wages in real-time, allowing them to spend, save, and invest without burdensome fees, interest rates, or credit checks.We take pride in our seasoned leadership team, supported by top-tier investors such as A16Z, Matrix Partners, DST, and Ribbit Capital, along with a robust core business that promises significant growth potential. As we expand rapidly, we are eager to welcome exceptional talent to join us in this exciting phase of our journey.Position Summary:We are in search of a Strategic Partnerships Associate who will play a key role in identifying, cultivating, and executing partnerships that enhance user engagement with EarnIn. You will collaborate closely with senior leaders to transform strategic ideas into tangible initiatives that drive measurable outcomes.Your responsibilities will encompass the entire partnership lifecycle — from researching potential collaborations to supporting discussions with partners, coordinating with internal teams, and facilitating the launch of new partnerships. This role demands exceptional organizational skills, cross-team collaboration, and a proactive approach to learning in a dynamic environment.The salary range for this full-time position is $140,000-$171,000, complemented by equity and benefits. This hybrid role requires in-office attendance two days a week in Mountain View.

Role overview Earnin seeks a Head of Financial Planning & Analysis (FP&A) based in Mountain View, US. This position shapes the company’s financial direction and partners with teams throughout the organization. The role ensures that budgeting, forecasting, and financial analysis support Earnin’s mission to improve access to earned wages. What you will do Lead the FP&A team and oversee daily operations Direct the company’s budgeting and forecasting activities Review financial performance and deliver actionable insights Contribute to setting and tracking financial goals that align with company priorities

About NewsBreakEstablished in 2015, NewsBreak is a pioneering Content Intelligence platform redefining the content economy. With a robust user base of over 40 million monthly active users, our flagship platform delivers tailored local news and information, powered by cutting-edge AI, recommendation systems, and advanced adtech.Acknowledged by Fast Company as #32 among the Top Workplaces for Innovators, we proudly hold Great Place to Work® certification and foster a vibrant team of technologists, product innovators, and business leaders dedicated to addressing significant challenges at scale.Achieving unicorn status in 2021, we remain steadfast in our commitment to high growth, seeking the ideal team to realize our mission: to establish the foundational infrastructure for content intelligence.If you’re driven to dream big, innovate rapidly, and make a meaningful impact, we want to hear from you! For more details, visit www.newsbreak.com/aboutAbout the Role:We are seeking a Machine Learning Infrastructure Engineer to join us in building the pivotal infrastructure that trains, serves, and monitors the models behind our Ads and Recommendations products. You will be part of a small, high-responsibility team that implements platform enhancements end-to-end—collaborating with product and data teams to minimize latency and costs while expediting the transition from concept to safely launched model.Your role will encompass the entire ML lifecycle: enhancing training efficiency and reliability, optimizing model serving performance, and fortifying our feature/embedding platform to ensure models remain current and consistent across offline and online applications. We are looking for someone who takes genuine ownership, completes tasks, and elevates the standards for stability and developer experience.Why This Role:Scope & Impact: Join a small team with a significant influence—your contributions will directly impact production.Ownership: Manage everything from design to rollout and post-launch insights; enjoy real autonomy with support.Growth: Gain visibility across the stack and a clear pathway to lead projects and mentor others.Pragmatic Culture: We prioritize outcomes over jargon, valuing clear thinking and follow-through.

About NewsBreakFounded in 2015, NewsBreak is a pioneering Content Intelligence platform that is redefining the content economy. With a vibrant community of over 40 million monthly active users, our flagship platform offers deeply personalized local news and information, driven by cutting-edge AI technologies, sophisticated recommendation systems, and innovative adtech solutions.Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we take pride in being Great Place to Work® certified. Our dynamic team of technologists, product innovators, and business leaders is dedicated to tackling significant challenges at scale.Having reached unicorn status in 2021, we are steadfast in our commitment to maintaining a high-growth trajectory through the right talent to help us realize our mission: building the infrastructure layer for content intelligence.If you’re motivated to think big, innovate rapidly, and make a meaningful impact, we’d love to connect with you! For more information, visit www.newsbreak.com/aboutAbout the RoleWe are on the lookout for a Staff Machine Learning Engineer to spearhead technical leadership for our recommendation systems and AI initiatives.In this pivotal position, you will set the technical direction for large-scale personalization systems, lead intricate projects across various teams, and champion the integration of AI / LLM technologies in our product capabilities and engineering workflows.This opportunity is perfect for engineers who relish system-level thinking, enjoy mentoring others, and excel at transforming complex, ambiguous challenges into scalable solutions.What You’ll Work OnTechnical Leadership & ArchitectureLead the design of next-generation recommendation system architectures at scale.Drive best practices for model lifecycle management, experimentation, and system reliability.Collaborate with product, infrastructure, and data teams to ensure alignment of technical strategy with business objectives.Advanced Recommendation & AI SystemsOversee complex initiatives encompassing retrieval, ranking, re-ranking, and multi-objective optimization.

About EarnInAt EarnIn, we are trailblazers in the realm of earned wage access, dedicated to creating innovative solutions that provide real-time financial freedom for individuals navigating the challenges of living paycheck to paycheck. Our community members have the unique advantage of accessing their earnings as they earn them, empowering them to spend, save, and invest their money without incurring mandatory fees, interest rates, or credit checks.We are proud to be backed by a highly experienced leadership team and distinguished funding partners, including A16Z, Matrix Partners, DST, and Ribbit Capital. With a robust and thriving core business, we are on an exciting growth trajectory and are eager to welcome exceptional talent to join us in shaping the future of our organization.Position SummaryWe are looking for a seasoned Director of Accounting Operations to lead our accounting operations team. This pivotal role is essential for maintaining the accuracy, efficiency, and compliance of our financial operations as we scale. The ideal candidate will possess strategic leadership skills, expertise in process improvement, and a proven ability to drive operational excellence across payroll, accounts payable, procurement, expense management, and financial systems.This role is available for both remote and hybrid applicants. For those located in Mountain View, in-office work will be required 2-3 days per week. The US base salary range for this full-time position is $200,000 - $245,000, plus equity and benefits. Our salary ranges are informed by the role, level, and location.

About EarnInEarnIn is at the forefront of earned wage access, dedicated to creating innovative products that provide immediate financial flexibility for individuals living paycheck to paycheck. Our community can access their earnings as they earn them, with the versatility to spend, save, and grow their finances without incurring mandatory fees, interest rates, or credit checks.With a seasoned leadership team and backing from premier investors such as A16Z, Matrix Partners, DST, and Ribbit Capital, we boast a robust business model and an expansive growth trajectory. We are rapidly expanding and are eager to onboard exceptional talent to help define the next stage of our journey.WHAT WE'RE LOOKING FORWe are developing the next wave of AI-powered solutions aimed at assisting millions in accessing their earnings and enhancing their financial health. We seek a proactive engineer who is enthusiastic about growth, quick learning, and making a significant impact through the creation of high-quality systems and agent-driven Generative AI workflows. This position is suited for a builder who is ready to transition beyond foundational tasks and take substantial ownership of projects. We value initiative, craftsmanship, and a willingness to explore how engineers can effectively collaborate with AI agents.