Senior Machine Learning and AI Engineer

About Oden Technologies:Oden Technologies is a pioneering force in the manufacturing sector, leading the charge in the fourth industrial revolution. We harness the power of real-time applications, combining contextual and process data with cutting-edge machine learning (ML) and artificial intelligence (AI) algorithms. Our innovative approach is unlocking unparalleled opportunities to enhance the efficiency and productivity of manufacturing processes.At Oden, we empower manufacturing operations teams with our advanced platform, enabling them to continuously monitor, analyze, and optimize production across a diverse array of processes and conditions. Our mission is to maximize efficiency, sustainability, and competitiveness within the manufacturing landscape, helping True Makers Make Things Better!Our CultureCustomer obsession is at our core. Every decision we make is driven by our commitment to delivering exceptional outcomes and delighting our customers. Our team prioritizes work based on the ultimate impact on the customer. We believe in going to the Gemba – we readily engage with the production floor to collaborate with managers and enhance our understanding.We thrive on speed and accountability. Our team embraces transparent and scientific thinking, acting swiftly to explore the best ideas collaboratively.We support one another through direct and honest feedback, maintaining high standards to foster team growth and success.“Be True Makers to Serve True Makers.” We are dedicated to building a community that sparks innovation and accelerates our impact. We are always on the lookout for better, even unconventional, solutions that simplify complexity and drive meaningful progress.The RoleAs a Junior Machine Learning Data Engineer, you will play a crucial role in researching, developing, and implementing data and machine learning pipelines that support operations teams in effectively managing and optimizing the manufacturing process. Your work will involve creating applications that provide continuous predictions regarding quality, cost, and potential machine failures, delivering real-time process optimization recommendations, and identifying anomalies for instant alerts.

About JuniorAt Junior, we are at the forefront of innovation, creating state-of-the-art tools powered by Large Language Models (LLMs) that enhance the investment research process for private market investors. Our clientele includes several of the top 10 private equity and consulting firms globally, collectively managing investments worth billions annually. As a profitable, bootstrapped startup, we are expanding our talented team of 24 professionals located in London and New York City.Discover more about our mission and values here. Role DescriptionAs one of our pioneering AI/ML engineers, you will have the unique opportunity to:Engage in innovative projects that blend LLMs with traditional machine learning techniques.Develop novel ideas for research synthesis utilizing NLP techniques and demonstrate their business impact.Collaborate closely with external partners to accelerate our growth trajectory.Influence product decisions, strategic direction, and prioritization.Help shape our engineering culture and practices.With over 20 enterprise clients already onboard and tens of thousands of interactions on our platform, there is ample data to analyze and enhance. Sample ProjectsCreate a search ranking algorithm that leverages user interaction signals alongside semantic and PostgreSQL-based text search to enhance relevance and accuracy.Develop a proprietary prompt system that continuously refines prompts and outputs based on production signals and human feedback.Open source a benchmark for evaluating LLM outputs specifically for investment research tasks.Design a deduplication system that utilizes in-app signals and external data sources for accurate entity resolution from speech-to-text outputs.Construct a custom knowledge graph for each research sprint, transforming unstructured interview data into actionable insights while dynamically integrating relevant data.

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.

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.

About Junior Junior builds LLM-powered tools that support investment research for top deal teams. Our clients include several of the world’s largest private equity firms, Big 4 professional services, and leading consulting companies, organizations that collectively manage billions each year. We are a profitable, bootstrapped company with about 28 team members in London and New York. In 2025, we achieved 10x revenue growth and are on track for another 2-3x increase this year. Junior’s platform helps clients save an average of 10 hours per week, and we are expanding into sectors like investment banking, hedge funds, and research firms. Role Overview: Data Analyst This is Junior’s first dedicated data analyst role in New York City. The person in this position will build the foundation for analytics across the company, providing insights that clarify what drives user engagement, customer retention, and business growth. This role goes well beyond generating dashboards. The analyst will influence decision-making at a fast-growing AI startup, taking on a highly visible and impactful position from day one. Sample Projects Feature Adoption & Engagement Analysis: Examine how different features are used, segmenting by firm type, user role, and tenure. Deliver insights to the Product team for prioritization. Churn & Health Scoring: Build models that flag accounts at risk of churn, using product usage data to alert Customer Success before issues escalate. CRM Data Quality & Enrichment: Audit and improve CRM data. Develop pipelines to sync CRM with product usage, ensuring Sales has accurate account information. Sales Funnel Analysis: Map the acquisition funnel from first contact to closed deals. Identify bottlenecks and link product usage patterns to conversion rates. Executive Reporting: Create a weekly data summary for leadership, covering revenue, usage, pipeline health, and key anomalies. Move from ad hoc spreadsheets to automated reporting. What We’re Looking For We seek a data analyst who enjoys using data to shape business decisions and improve products. Candidates who thrive in a startup setting and want to make a visible impact will feel at home here.

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.

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

Join Anthelion CapitalAnthelion Capital is an innovative investment firm dedicated to creating a cutting-edge AI and data platform that streamlines the entire investment lifecycle, from underwriting to portfolio management. Our platform harnesses both structured and unstructured data, advanced analytics, and automated workflows to achieve exceptional, risk-adjusted returns in private credit and structured finance.As a team of engineers and investors, we are committed to transforming how institutional investment decisions are made—ensuring they are executed faster, smarter, and with greater transparency.Your RoleWe are seeking a talented Machine Learning Infrastructure/Platform Engineer to develop the foundational systems that support our data science and AI platform.You will engage with the underlying infrastructure that drives our ML and AI workflows, including data pipelines, orchestration, compute provisioning, model serving, and observability. Additionally, you will be instrumental in operationalizing our agentic AI platform, ensuring agents are efficiently hosted, monitored, and integrated into production-level systems.Key ResponsibilitiesData Pipelines & OrchestrationDesign, implement, and manage robust production data pipelines that process and deliver structured and unstructured data to downstream ML workflows.Take ownership of our Prefect-based orchestration framework, focusing on flow scheduling, error management, retry mechanisms, and human-in-the-loop (HITL) workflows.Build and oversee feature stores, data contracts, and promotion workflows to guarantee data quality and traceability from raw ingestion to model consumption.Collaborate with data scientists to convert experimental workflows into reliable and repeatable pipelines.ML/AI Infrastructure & DeploymentEstablish and maintain scalable infrastructure for model training, retraining, and inference (both batch and real-time), including GPU compute provisioning and container orchestration.Implement and oversee model serving infrastructure, such as containerized endpoints, API gateways, and self-service deployment frameworks for the data science team.Deploy and manage monitoring systems to track model performance, data drift, prediction usage, and pipeline reliability.Ensure all deployed systems are highly available, resilient, and well-documented, with clear data lineage and operational runbooks.Agentic AI Platform & ToolingAssist in the development and operationalization of agentic AI workflows, including agent hosting, lifecycle management, and integration with Model Content.

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

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.

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.

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.

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.

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 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 JuniorAt Junior, we are pioneering advanced LLM-powered tools designed to revolutionize the investment research process for private market investors. Our clientele includes some of the top 10 private equity and consulting firms worldwide, managing investments worth billions annually. As a profitable and bootstrapped company, we have a vibrant team of 24 based in London and New York City.Discover more about our mission and values here. Role DescriptionAs one of our inaugural engineering interns, you will have the unique chance to:Rapidly deploy solutionsDesign and develop innovative methods for interacting with technologyEngage in pioneering projects that utilize LLMsCollaborate intimately with external partners to drive our expansionInfluence product strategy, direction, and prioritizationHelp cultivate our engineering culture Project HighlightsDevelop new innovative products at Junior to incorporate a wider array of research inputsCreate a voice-to-voice survey tool with ultra-low latency capable of autonomously performing large-scale research tasksConstruct a mobile application from the ground up in just 3 weeksBuild segmented knowledge graphs to transform unstructured data into structured formatsDevelop an AI-native CRM system linked deeply to the aforementioned knowledge graph About YouWe seek product-oriented full-stack engineers who:Reside in NYCAre motivated to participate in product decisionsPossess excellent communication skills and an interest in client-facing rolesAre skilled in our tech stack: Next.js, TypeScript, PostgreSQLBonus points for experience in designing and building AI-powered products!Have a strong desire to accelerate development processes

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.

About JuniorAt Junior, we are innovating the investment research landscape by developing advanced LLM-powered tools tailored for private market investors. Our clientele features some of the globe's leading private equity and consulting firms, collectively managing investments worth billions each year. We pride ourselves on being a profitable and bootstrapped enterprise, currently expanding our dynamic team of 24 across our London and NYC offices.Discover more about our mission and values here. Role DescriptionIn your role as a Backend Engineer, you will play a pivotal part in constructing and enhancing the systems that drive our AI-powered research platform. This systems-level position is perfect for engineers passionate about data flows, orchestration, and optimizing performance across intricate distributed systems.As one of our initial engineering team members, you will enjoy the distinctive chance to:Deliver results swiftlyDesign and scale backend systems that facilitate high-throughput LLM interactions, vector search, and multi-agent orchestration.Integrate AI infrastructure across various model providers, databases, and internal APIs to develop cohesive and effective systems.Take charge of reliability and observability, aiding in the evolution of our database (Postgres / ClickHouse) and job orchestration systems.Prototype innovative backend functionalities (retrieval pipelines, caching layers, async task queues) that empower quicker and smarter development.Influence our engineering culture About YouWe seek product-oriented backend engineers who:Are based in NYC, as we operate 5 days a week in-person.Are enthusiastic about the convergence of AI infrastructure and systems design.Have a track record of leading projects from inception to completion.Are eager to participate in product decisions.Possess proficiency in our technology stack: Next.js, TypeScript, PostgreSQL.Feel that there is always room for faster development.

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.