Senior Machine Learning Engineer - Prediction & Planning - System Architecture

Role Overview Squarespace is hiring a Senior Machine Learning Engineer to strengthen our Domain Search experience. This position is based in New York City. What You Will Do Design and build algorithms that power domain search and discovery Develop predictive models to improve search relevance and user engagement Apply data analysis to identify opportunities for product improvement Work closely with engineers, product managers, and other teams to deliver solutions What We’re Looking For Strong experience in machine learning and data analysis Background in designing and implementing production ML systems Ability to collaborate across disciplines and communicate technical concepts

Trunk Tools seeks a Senior Machine Learning Engineer to join its team onsite in New York City. This role centers on creating and deploying models that drive the company’s main objectives. Working alongside colleagues from various backgrounds is a key part of the job. Responsibilities Design and build machine learning models for practical use cases Collaborate with cross-functional teams to gather requirements and deliver effective solutions Deploy models into production environments and monitor their scalability Work Location This position is based at the Trunk Tools headquarters in New York City. Regular onsite presence is required.

About SandbarSandbar is a pioneering technology company based in New York City, dedicated to enhancing human capabilities in an agentic world. Our mission is to empower individuals to think, act, and move with freedom. Our innovative team has developed software, machine learning, and hardware solutions that have been instrumental in the success of leading companies such as Meta, CTRL-labs, Google, Apple, Fitbit, Peloton, and Equinox.Our flagship product, Stream, represents a groundbreaking human-agent interface—a private voice ring and conversational computer. Stream has garnered attention in prestigious publications like the Wall Street Journal, Bloomberg, and Wired, with shipments set to commence in Summer '26.We invite you to join us in shaping a new paradigm for self-augmentation.

Confido is revolutionizing the AI infrastructure that empowers Consumer Packaged Goods (CPG) brands by streamlining critical processes from deduction to production planning. Our integrated platform unifies cash application, deductions, disputes, trade promotion management, forecasting, demand planning, and analytics. This integration results in significant time savings, enhanced decision-making, and accelerated scaling capabilities.With over 200 trusted brands managing more than $20 billion in revenue—including notable names like OLIPOP, Simple Mills, Dr. Squatch, and Tropicana—Confido has demonstrated exceptional growth. Recently, we secured a $15 million Series A funding round led by Footwork Ventures and Y Combinator to further drive our expansion.As a Senior Machine Learning / AI Engineer, you will play a pivotal role in developing the AI systems that form the backbone of the Confido platform. Your responsibilities will span from LLM-powered document understanding to creating predictive models that assist brands in making informed decisions.You will collaborate closely with engineering and product teams to transition AI capabilities from research into practical applications.

At Garner Health, we are dedicated to revolutionizing the healthcare economy by making high-quality and affordable care accessible to all.We are fundamentally reimagining the healthcare landscape in the U.S. by collaborating with employers to redesign healthcare benefits using transparent incentives and powerful, data-driven insights. Our innovative approach directs employees toward higher-quality, lower-cost care, fostering a healthcare system that benefits everyone. This means improved health outcomes for patients, more effective spending of healthcare dollars for employers, and rewarding physicians for providing exceptional care rather than performing unnecessary procedures.Garner is recognized as one of the fastest-growing healthcare technology companies nationally. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are eager to make a significant impact on healthcare at scale.About the Role:We are on the lookout for an outstanding Staff Machine Learning Engineer to join our dynamic team. At Garner, our Engineering team addresses complex technical challenges that have a meaningful impact on our mission. Our systems analyze billions of medical records to evaluate healthcare providers nationwide. We operate on AWS with Kubernetes and consistently integrate new technologies as our system load grows exponentially each year. We encourage our engineers to advocate for cutting-edge industry practices as we wholeheartedly incorporate AI into every aspect of our operations and standards. We value teammates who take pride in delivering exceptional work and nurturing a robust team culture.Where You Will Work:This position is based in our New York City office located in the Financial District. Candidates must be available to work in the office three days a week: Tuesday, Wednesday, and Thursday.What You Will Do:Lead technical strategy and execution at the team level over multi-quarter time frames.Utilize AI to build, optimize, and maintain machine learning, data, and software systems.Elevate the technical capabilities of engineers throughout the organization.Collaborate across disciplines to deepen domain understanding and iterate on projects.Ensure user privacy and security through adherence to best practices.

About MercivMerciv is an innovative AI and data analytics startup committed to redefining how businesses leverage strategic intelligence. Our mission is to revolutionize the way organizations utilize data, derive insights, and make informed strategic decisions through state-of-the-art AI pipelines and dynamic forecasting tools.We envision a future where every business decision is backed by timely and relevant data, merging AI capabilities with human intuition. Our technology:Integrates various data sources into a unified intelligence layerEnhances human decision-making through autonomous AI analyticsReveals insights and opportunities often overlooked by traditional toolsPredicts outcomes and assists teams in navigating uncertainty with clarityEmpowers organizations to shape their markets proactively instead of merely reactingWe are developing robust, scalable, and genuinely intuitive solutions that empower teams across all levels of an organization, not just the data team. Having successfully raised $14M in seed funding, we have cultivated a strong engineering culture and are poised to launch publicly after nearly two years in stealth mode.About the TeamOur team is dedicated to building an agentic AI platform that transforms how enterprises engage with data. Merciv connects an organization’s entire data landscape with external sources—such as social media trends, industry reports, and consumer behavior signals—enabling swift insights and automating workflows that previously took analysts weeks.We prioritize simplicity in powerful tools. Every feature is designed to be intuitive, and every component is interactive. We want users to feel empowered and capable of achieving more with Merciv than ever before.Our agile, lean team thrives on innovation and the autonomy to make impactful decisions. We operate under a DRI (Directly Responsible Individual) model, where you will take ownership of major product features from conception to launch—not merely contributing to them. You will wear multiple hats, and this is by design.Our work environment fosters creativity and cutting-edge technology, ideal for those eager to influence the future of human-AI collaboration. If you are excited to be part of a fast-paced, innovative startup culture and make a significant impact on client businesses, Merciv is the perfect place for you. Join us as we broaden the horizons of retail intelligence and deliver unparalleled value to our clients.

Role Overview root-access is hiring a Machine Learning Engineer in New York City. This role works closely with the tech team to design and build machine learning algorithms that support and improve our products. The position involves hands-on development, data analysis, and delivering solutions that scale as our business grows. What You Will Do Develop machine learning models tailored to product needs Analyze complex data sets to extract insights and guide model improvements Create solutions that can scale to meet increasing demand Collaborate with engineers and product teams to integrate AI-driven features Who We’re Looking For Experience building and deploying machine learning algorithms Strong interest in artificial intelligence and its practical applications Ability to work with large, complex data sets Comfort working in a collaborative, evolving tech environment

Join The New York Times as a Senior Software Engineer specializing in Machine Learning Platform development. In this pivotal role, you will be an integral part of our Machine Learning & AI team, tackling innovative challenges associated with Machine Learning infrastructure that enhances the experience of our 150 million global digital readers. You will contribute to building and maintaining the robust infrastructure that supports real-time ML inference models, collaborating closely with Data Scientists and engineering teams to ensure high-performance, low-latency service levels. This hybrid position is based in New York City and reports directly to the Engineering Manager of the Machine Learning Platform team.

About TennrAt Tennr, we are transforming the way healthcare referrals are managed. When patients are referred to specialists, they often face frustrating delays. Our innovative platform, powered by RaeLM™, ensures that every referral is processed swiftly and accurately, allowing healthcare providers to capture more referrals and reduce denials. Join us in revolutionizing the healthcare experience.About the RoleAs the pioneering ML Ops Engineer at Tennr, you will be instrumental in developing and refining our Machine Learning and AI infrastructure. You will be responsible for creating and optimizing machine learning training and inference pipelines that can manage escalating traffic demands and an expanding range of products. Your expertise will ensure that our AI-driven healthcare platform operates on robust, scalable, and efficiently deployed models.Our Machine Learning team is at the forefront of innovation, developing proprietary VLMs, LLMs, and other specialized models tailored to address critical healthcare challenges. This is not just a position of maintaining existing systems; it is an opportunity to lead groundbreaking experimentation and the introduction of new capabilities. Your contributions will significantly impact our ML and data systems, enhancing Tennr's ability to solve vital issues for patients and healthcare providers.Key ResponsibilitiesDesign, architect, and implement scalable ML software systems for model deployment and management.Maintain infrastructure that supports efficient ML operations, including data pipelines, model evaluations, and large-scale training.Work collaboratively with ML engineers, software developers, and cross-functional teams to integrate models seamlessly with data pipelines and products.Identify and resolve production issues while continuously enhancing system performance and efficiency.Develop tools for online and offline evaluation of ML and LLM systems.

Join Our Team as a Machine Learning Engineer! At FanDuel, we recognize that data is the lifeblood of our organization. As a Machine Learning Engineer, you will harness the power of our extensive real-time and relational datasets to drive insights that enhance user experiences. Your analytical skills will transform every interaction—from user clicks to game outcomes—into actionable intelligence, enabling us to make faster, more informed decisions that keep us ahead of the competition. Your role will be pivotal in fostering collaboration across teams. You will serve as the bridge between engineering teams, facilitating the development of our online applications while ensuring that essential data is available for feature engineering. Collaborating with Data Scientists and Analysts, you will help bring AI-driven insights into production and validate their effectiveness. Your efforts will be instrumental in organizing, modeling, and presenting data in a manner that provides a unified information structure, empowering FanDuel to respond intelligently to market dynamics and on-field events. If you are a Machine Learning Engineer with aspirations to thrive in a big data environment, we encourage you to apply! Your Responsibilities: Design and implement intelligent search systems incorporating typeahead search, vector search, and ML personalization to optimize user experience. Contribute to the creation of scalable serving systems for ML and GenAI/LLM models. Develop platform features and tools (e.g., CLI, SDK, Infrastructure Automation) that enhance the ML model lifecycle and GenAI/LLM application deployment. Utilize business intelligence tools such as Tableau, Knime, and Looker. Ensure data security and privacy compliance (e.g., GDPR, CPP). Implement data governance and testing frameworks. Support continuous integration and delivery of data products. Participate in an inclusive culture that prioritizes excellence, personal growth, and well-being.

OverviewAt OXMAN, a pioneering nature-focused research and design firm based in Manhattan, we leverage nature-centric solutions to tackle pressing challenges at the intersection of Nature and Humanity. Our interdisciplinary approach spans various sectors, fostering innovative concepts that redefine the interaction between the built environment and the natural ecosystem.Our initiative, EDEN, is dedicated to applied ecological systems operating on architectural, urban, and landscape scales. We are at the forefront of creating a digital design framework that engineers biodiverse and resilient ecosystems by developing software that empowers designers and engineers to incorporate essential ecosystem services—such as carbon sequestration, thermal buffering, and biodiversity—into their master planning and design processes. Our mission is to elevate ecosystem services from undervalued byproducts to vital infrastructure elements. We invite talented professionals to join us in revolutionizing the future of nature-centric design.We are currently seeking a Machine Learning Research Engineer to integrate into our dynamic design team in New York City. This role will be pivotal in supporting our efforts to deliver exceptional, data-driven design proposals utilizing EDEN’s innovative suite of ecosystem engineering tools.

About Us:At ClarityPay, we empower businesses and their customers by expertly addressing intricate credit challenges with agility, precision, and intelligence. Our blend of extensive experience and cutting-edge technology simplifies processes and consistently yields superior results.As a rapidly expanding fintech firm, we equip enterprise merchants with innovative pay-over-time solutions. From point-of-sale financing to "Buy Now, Pay Later" initiatives and integrated loyalty offers, we are crafting customizable credit tools that enable businesses to reach more customers.Our core values include teamwork, a clear sense of purpose, and a meticulous approach to data-driven decision-making. We prioritize speed and quality to provide an outstanding customer experience.Role Overview:ClarityPay is investing heavily in the development of machine learning products, algorithms, and platforms. We seek technically skilled engineers who are enthusiastic about tackling complex optimization issues related to customer complaints, collections, and offer optimization.This position is suited for an engineer who views the "collections process" as a Reinforcement Learning environment. You will delve deep into the problem space through thorough case reviews to uncover the "why" and "what," and formulate robust hypotheses to enhance outcomes. Transitioning from basic predictive models, you will craft transformative algorithmic solutions utilizing Bayesian Black Box optimization, Contextual Bandits, and Deep Q-Networks (DQN/DDQN).This problem space is primed for innovation, and your curiosity, motivation, and skills will dictate the extent of your impact. You will also have the chance to take on leadership roles, including technical mentorship and managing offshore engineering teams.Key Responsibilities:End-to-End Problem Solving: Take ownership of the entire solution lifecycle. Engage in comprehensive case reviews to develop hypotheses, design rigorous A/B tests for validation, and automate the implementation of successful strategies.Advanced Algorithmic Development: Create and deploy inferential solutions that optimize operational management. Implement and refine advanced methodologies such as Contextual Bandits, Deep Q-Networks (DQN), Double DQN, and Bayesian optimization to deduce causal effects and maximize long-term rewards.Engineering & Reliability: Construct the foundational data infrastructure. Develop robust data pipelines and integrate machine learning models into production-ready systems.

Why Join Shiftsmart?Be Part of the Future of Labor. At Shiftsmart, we are innovating the labor market by combining comprehensive workforce management technology with a rapidly expanding global network of over 5 million flexible workers. Our platform enables scalable labor solutions for major companies including Circle K, Pepsi, Dollar General, and Starbucks. As one of the fastest-growing startups in the nation, we have experienced 2-3x growth annually since inception and secured over $120 million from esteemed investors such as D1 Capital and Imaginary Ventures. And we’re just getting started!Our Mission: Empowering Workers and Enterprises. We aim to create the leading platform for hourly workers and enterprises, providing flexibility, choice, and opportunities for upward social mobility.Be a Part of Our Growth Journey. This is a unique chance to join a rapidly scaling business that is transforming hourly labor dynamics and addressing a $2 trillion opportunity in the U.S. alone.Drive Impact and Ownership. Collaborate with a team that challenges and supports one another, dedicated to building a remarkable business that enhances flexibility and choice for workers everywhere.Shape Your Career Trajectory. Experience accelerated learning and growth alongside a world-class team hailing from top tech companies (e.g., Uber, Airbnb, Google, Amazon), prestigious business schools (e.g., Harvard Business School, Stanford GSB, Wharton), and elite professional services (e.g., Bain, BCG, Goldman).Master Execution. At Shiftsmart, we believe that #ExecutionIsBinary, and we are committed to helping you develop this vital skill for your career and beyond.Role Overview: What You Will DoAs a Machine Learning Engineer, you will play a critical role in determining how machine learning is utilized to derive insights from the expansive data generated by our labor marketplace. You will design, develop, and deploy end-to-end machine learning systems while navigating ambiguity, leveraging our marketplace data to address complex challenges and drive business value for Shiftsmart.

About SandbarSandbar is a pioneering interface company based in New York City, dedicated to enhancing individual autonomy in an agentic world. Our team comprises experts who have developed cutting-edge software, machine learning, and hardware products at renowned companies like Meta, CTRL-labs, Google, Apple, Fitbit, Peloton, and Equinox.Our flagship product, Stream, represents a revolutionary human-agent interface—a private voice ring and conversational computer. This innovative product has received accolades in major publications such as the Wall Street Journal, Bloomberg, and Wired, with shipping scheduled for Summer '26.Join us in redefining self-augmentation through advanced interfaces.

About the Role qloo is looking for a Machine Learning Engineer focused on Large Language Models (LLMs) and personalization. This position is based in New York City. What You Will Do Design and build machine learning models to improve user experience and increase engagement. Work closely with teams across the company to implement advanced algorithms. Support data-driven decisions by contributing expertise in LLMs and personalization techniques. Collaboration This role involves frequent collaboration with cross-functional groups, including product and data teams.

At Confido, we are revolutionizing the AI infrastructure for consumer packaged goods (CPG) brands, streamlining everything from deductions to production planning. Our platform integrates cash applications, deductions, disputes, trade promotion management, forecasting, demand planning, and analytics into a cohesive system. The outcome is significant time savings, enhanced decision-making capabilities, and accelerated growth potential.We proudly serve over 200 brands, managing more than $20 billion in revenue, with clients like OLIPOP, Simple Mills, Dr. Squatch, and Tropicana.With our recent successful $15 million Series A funding round led by Footwork Ventures and Y Combinator, we are poised for rapid expansion.As a Staff AI / ML Engineer, you will play a crucial role in developing and implementing the core AI systems that power our platform, including LLM-driven document understanding and predictive models that assist brands in making informed decisions.This foundational position will involve direct collaboration with our CEO and CTO to define our long-term AI strategy and architecture.

Join Our Team as a Machine Learning Infrastructure EngineerAt Fauna Robotics, we are on the forefront of revolutionizing robotics through cutting-edge machine learning technologies. As a Machine Learning Infrastructure Engineer, you will play a pivotal role in constructing and enhancing the machine learning systems that drive our innovative robotic solutions. Your expertise will be essential in designing, managing, and optimizing the infrastructure required for training, evaluating, and deploying ML models that facilitate robot locomotion, perception, manipulation, navigation, and interaction with humans.This position is an exciting opportunity to work at the convergence of machine learning and systems engineering, ensuring that our ML training and deployment systems are resilient, efficient, and scalable as we transition from prototypes to fully functional production systems.

OverviewJoin Phia as a Senior Machine Learning Engineer, where your expertise will help us design, build, and scale cutting-edge production ML systems that enhance our core product offerings and drive data-driven decision-making. You will engage with the entire ML lifecycle—from data preprocessing and model development to deployment and continuous improvement—tackling challenges such as ranking, personalization, and optimization. This pivotal role bridges machine learning, product engineering, and data platforms, allowing you to influence systems that directly contribute to user growth and experience. You will be responsible for deploying models into production, executing rapid experiments, and shaping the future of machine learning at Phia as we expand.About PhiaPhia has successfully secured $43 million in funding from renowned investors such as Notable Capital, Khosla Ventures, and Kleiner Perkins, aimed at creating the AI alignment layer for commerce. In less than a year, our consumer shopping agent has attracted over one million users and established partnerships with more than 6,200 retail brands, generating billions in annual gross merchandise volume. Each month, Phia drives millions of dollars in sales for our partners and has experienced remarkable revenue growth of 11x since our launch.As AI vertical agents continue to revolutionize various industries, commerce stands on the brink of a significant transformation. Phia is redefining the shopping experience, shifting it from a fragmented and impersonal interaction to a personalized, intelligent, and trustworthy journey tailored to each user's intent. This foundation of trust positions us to become the go-to shopping destination for the next generation of consumers.At Phia, we pride ourselves on being a nimble, high-ownership team that operates at startup speed. If you are eager to deliver high-impact solutions and tackle complex challenges in consumer AI and commerce, this is the perfect environment for you.

Join The New York Times as a Software Engineer specializing in Machine Learning Platforms to enhance the digital experience for our 150 million readers worldwide. In this hybrid role based in New York City, you'll collaborate with data scientists and engineers to develop and maintain the infrastructure hosting real-time machine learning inference models. Your expertise in MLOps will drive innovative solutions for content recommendations and personalization, contributing to our mission of delivering truth through independent journalism.