Senior Machine Learning and AI Engineer

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.

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.

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.

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.

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 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

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 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 the Role Waymo is looking for a Senior Machine Learning Engineer focused on Prediction & Planning to join the System Architecture team. This position is based in Mountain View, CA, San Francisco, CA, or New York City, NY. What You Will Do Design and implement advanced machine learning algorithms for autonomous vehicle prediction and planning. Develop systems that improve the safety and efficiency of self-driving technology. Collaborate with engineers and researchers across teams to advance core capabilities in autonomous driving. Impact Your work will help shape the systems that guide Waymo’s vehicles, supporting safer and more reliable autonomous transportation.

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.

Coral AI is building an intelligent operating system to address inefficiencies in healthcare administration. The company’s work was recently featured in Forbes for tackling the $450 billion lost each year to paperwork and the delays this causes for patients needing timely care. About Coral AI Coral AI’s automation platform uses advanced AI to process handwritten faxes, complex medical records, and low-quality scans. The system achieves 98.7% accuracy, helping healthcare organizations handle documents that typically slow down operations. Backed by Lightspeed and led by founders with deep experience in AI and robotics, Coral AI reached multi-million dollar annual recurring revenue within six months, serving medical equipment providers, clinics, and specialty pharmacies. Impact The technology reduces patient wait times from days to hours, allowing clinicians to focus on care instead of paperwork. Coral AI aims to remove administrative barriers so medical staff can deliver care without unnecessary delays. Role Overview: Machine Learning Engineer This role centers on solving challenges in Optical Character Recognition (OCR) and Natural Language Processing (NLP) for healthcare applications. The work directly contributes to improving patient outcomes and streamlining healthcare delivery. Location New York City

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 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.

Join Our Team as a Machine Learning Solutions EngineerAt Lightning AI, we are pioneers in the field of artificial intelligence, empowering developers and organizations to seamlessly transition their AI concepts from research to production. As the creators of PyTorch Lightning, we offer a comprehensive platform that simplifies the development, training, and deployment of AI systems.Founded in 2019, Lightning AI has merged with Voltage Park, an AI Factory that emphasizes cost-efficient, large-scale computing solutions. Our platform is designed for researchers, startups, and established enterprises, providing them with essential tools for experimentation, training, and production inference, all while ensuring security and observability.Headquartered in New York City, with additional offices in San Francisco, Seattle, and London, we are backed by top-tier investors including Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.

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.

OverviewTetrix is an innovative startup dedicated to revolutionizing how institutional investors navigate alternative markets. Our cutting-edge AI-driven platform converts chaotic, unstructured private market data into actionable real-time insights. By integrating automated document retrieval, AI-empowered data extraction, and dynamic portfolio analytics, we offer a unified solution that defines the future of financial market infrastructure. Our rapid growth positions us as a leader in the industry, with partnerships among top-tier capital allocators and backing from prominent investors including Innovation Endeavors, Eric Schmidt’s VC firm, and industry veterans from BlackRock, CPPIB, SoftBank, Lending Club, and Plaid. Who We AreWe are a compact yet impactful team with extensive experience in both financial markets and advanced technologies. Our culture thrives on trust, ownership, and curiosity, where every team member is encouraged to contribute, innovate, and grow together. Our co-founders, Olivier (CEO) and Naunidh (CTO), forged their partnership on their first day at Stanford's MBA program, leading to the establishment of Tetrix in the summer of 2023. Who You AreYou are proactive and hands-on, taking initiative to drive projects forward.You possess a quick learning ability, approaching problems creatively and enthusiastically.You prioritize customer experience in every aspect of your work, from backend decisions to UI enhancements.You thrive in collaborative environments, valuing transparency and effective communication.You bring 5+ years of experience in AI/ML, preferably within fast-paced or entrepreneurial settings; contributions to open-source projects are a plus. What You’ll DoYou will build and optimize machine learning models that enhance our product's capabilities.You will collaborate with cross-functional teams to integrate AI solutions that drive business value.You will contribute to the product development lifecycle, from concept through deployment.

At PermitFlow, we are transforming the future of construction across America. As a pioneering applied AI firm, we address one of the most significant information challenges in the construction industry: comprehending what can be built, where, and how. Our innovative AI-driven agents empower the nation’s most rapidly growing construction companies to navigate the complexities of permitting, licensing, inspections, and project closeouts—thereby expediting housing, clean-energy, and infrastructure development nationwide.The construction sector, valued at $1.6 trillion, faces substantial delays, resource wastage, and unrealized opportunities. PermitFlow has successfully provided enhanced speed, accuracy, and visibility to over $20 billion in development projects, aiding contractors in minimizing compliance time, mitigating project risks, and scaling operations with assurance.As the U.S. enters a new capital expenditure supercycle encompassing data centers, factories, housing, and renewable energy, becoming a part of PermitFlow means constructing the AI infrastructure that underpins every construction project and propels the upcoming wave of reindustrialization.We have raised over $90 million, recently completing our Series B funding round, backed by prestigious investors such as Accel, Kleiner Perkins, Initialized, Y Combinator, Felicis, and Altos Ventures, with support from industry leaders at OpenAI, Google, Procore, ServiceTitan, Zillow, PlanGrid, and Uber.Our headquarters are located in New York City, offering a hybrid work schedule (3 days in the office per week). Preference will be given to candidates based in NYC or those willing to relocate.

Join Our Innovative TeamBecome a pivotal member of our team dedicated to creating the world's first biological reasoning model. Collaborate with us on groundbreaking generative foundational models that interpret biological systems across various scales—from molecular interactions to entire organisms—empowering us to predict, comprehend, and manipulate living systems like never before.Output is currently in stealth mode, driven by a team of seasoned founders and biotech experts who have successfully exited ventures in AI and biotechnology, supported by leading venture capital firms including Y Combinator.As a Machine Learning Engineer, you will partner with our founders and talented team members to innovate and deploy advanced AI solutions that facilitate intricate biological reasoning across diverse scales.Develop foundational models for biological systems capable of encoding and decoding biological data at scale.Create deep generative models tailored for biological applications, experimenting with innovative architectures to capture the complexities of multi-scale biological systems.Work on distributed training systems to scale our models to billions of parameters, focusing on performance and efficiency across multi-GPU and multi-node configurations while processing extensive biological datasets.Design efficient data pipelines to manage and process large biological datasets, tackling challenges in data loading, partitioning, and memory optimization.Establish and implement robust evaluation frameworks for complex biological models, ensuring data integrity and preventing leakage across dataset splits.

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.