Staff Frontend Engineer at Privy | NYC

About AdaptiveAdaptive Security stands at the forefront of AI cybersecurity, recognized as NVIDIA and OpenAI’s exclusive investment in this domain. Our mission is to thwart AI-driven cyberattacks. In December 2025, we proudly announced an $81M Series B funding round led by NVIDIA and Bain Capital Ventures, joined by esteemed investors including Capital One Ventures, Citi Ventures, and ongoing support from Andreessen Horowitz (a16z), the OpenAI Startup Fund, and Abstract Ventures. This round signifies NVIDIA’s inaugural foray into AI cybersecurity investments.Founded by seasoned entrepreneurs Brian Long and Andrew Jones, who have a proven track record of building and scaling industry-defining companies, Adaptive is set to shape the security landscape for the AI era. Brian and Andrew previously co-founded Attentive, which achieved over $500M in annual revenue and a valuation exceeding $10B, and TapCommerce, acquired by Twitter. Their wealth of experience in creating high-growth, product-focused businesses is instrumental as Adaptive secures enterprises against ever-evolving threats.With a growing clientele that includes leading banks, technology firms, and healthcare organizations, Adaptive is dedicated to safeguarding teams from emerging threats like deepfakes, smishing, and AI-generated voice scams. As we experience rapid enterprise adoption and explore a market exceeding $200B, we are just scratching the surface of our potential.Role OverviewWe are on the lookout for a Staff Machine Learning Engineer to spearhead the development of Adaptive's ML capabilities. As an AI cybersecurity firm, our products leverage LLMs and ML models to identify, classify, and respond to threats in real time. The role of ML is pivotal to the future of our offerings, and we seek an individual who can define our strategy, establish the infrastructure, and execute hands-on initiatives.Currently, we lack dedicated ML infrastructure or a team; you will have the unique opportunity to build this from the ground up. You will set the technical direction for ML applications across the organization, establish the necessary infrastructure, and engage in hands-on development.Key ResponsibilitiesCraft and define Adaptive's ML strategy: identify optimal applications of ML across our product suite, determine required infrastructure, and guide build vs. buy decisions.Design and implement end-to-end production ML systems, including data pipelines, model training, evaluation frameworks, and inference serving.Establish a robust evaluation methodology to measure model quality, identify regressions, and facilitate data-driven decisions regarding model modifications.Take ownership of data strategy: ensure the acquisition of necessary data in the required formats, define labeling processes, and establish feedback loops to enhance model performance over time.Collaborate with product engineers to integrate ML capabilities seamlessly into our products.

About AdaptiveAdaptive Security is at the forefront of AI cybersecurity, proudly recognized as NVIDIA and OpenAI's exclusive investment in this domain. Our mission is to thwart AI-driven cyber threats effectively.Founded by seasoned entrepreneurs Brian Long and Andrew Jones, who have previously scaled companies to remarkable heights, Adaptive recently secured $81 million in a Series B funding round, led by NVIDIA and Bain Capital Ventures, with contributions from Capital One Ventures, Citi Ventures, and ongoing backing from industry leaders like Andreessen Horowitz (a16z) and the OpenAI Startup Fund. Our founders have a proven track record, having co-founded Attentive and TapCommerce, and are committed to building a robust security framework for the AI era.With our trusted solutions already employed by leading banks, technology firms, and healthcare organizations, Adaptive is dedicated to protecting teams from evolving threats, including deepfakes, smishing, and AI-driven voice scams. As we continue to experience rapid adoption in the enterprise sector, we are poised to capitalize on a market exceeding $200 billion.RoleWe are on the lookout for a passionate Software Engineer eager to contribute to high-quality software development in a dynamic startup environment where every engineer's impact is significant. You will be directly involved in shipping tangible features for our customers from day one, creating products that are pivotal to the field of AI cybersecurity. As you advance in your role, you will cultivate your technical acumen and develop a unique vision for product direction.ResponsibilitiesDevelop and deploy features across the entire technology stack—frontend, backend, and infrastructure.Produce clean, well-tested code that is easily comprehensible and maintainable by fellow engineers.Collaborate closely with product management and design teams—our engineers play a crucial role in shaping our product vision.Engage with customer feedback to develop your insights on product enhancements.Commit to ongoing professional development— we heavily invest in advanced tools and resources, including AI coding assistants.Qualifications1-4+ years of experience in developing customer-facing software applications.Bachelor's degree or equivalent experience in Computer Science, Software Engineering, or a related discipline.Proficient in relevant programming languages and frameworks with a strong understanding of software development principles.

About Adaptive:Adaptive Security is at the forefront of AI cybersecurity, backed by industry leaders NVIDIA and OpenAI. Our mission is to combat the rising tide of AI-driven cyber threats. Following a successful $81M Series B funding round led by NVIDIA and Bain Capital Ventures in December 2025, we are poised for rapid growth and expansion, supported by notable investors including Capital One Ventures, Citi Ventures, and Andreessen Horowitz (a16z). Founded by experienced entrepreneurs Brian Long and Andrew Jones, who have a track record of scaling successful companies like Attentive and TapCommerce, Adaptive is committed to establishing robust security measures for the AI era.Our solutions are trusted by leading banks, tech giants, and healthcare organizations, safeguarding them against emerging threats such as deepfakes, smishing, and AI-powered voice scams. With a market potential exceeding $200 billion, the future is bright for Adaptive.Role:We are on the lookout for a dedicated and innovative Product Manager to join our New York City team. In this role, you will spearhead the strategy, roadmap, and implementation of our core products. Collaborating closely with engineering, design, sales, marketing, and customer success teams, you'll ensure that we deliver cutting-edge solutions that empower our clients to stay ahead of evolving cyber threats.

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.

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 Our TeamAt OpenAI, our Forward Deployed Engineering (FDE) organization is at the forefront of bridging product development, engineering, research, and market strategies. We collaborate with design partners to transform innovative platform capabilities into real-world applications, shaping software and creating sustainable products based on genuine customer feedback.The FDE Platform team plays a crucial role in amplifying the impact of our organization on OpenAI’s platforms and products. We work closely with customer-focused FDE pods, providing essential support in architecture, product development, refactoring, and implementation. This position is ideal for collaborative software engineers eager to innovate and build state-of-the-art products alongside like-minded professionals.About the RoleAs a Platform Engineer within the Forward Deployed Engineering team, you will be instrumental in developing new platform capabilities, rooted in actual customer deployments. You will collaborate with customer-focused FDE engineers who are dedicated to delivering impactful customer outcomes, embedding yourself where your contributions can maximize effectiveness. This involves engaging deeply in architecture, product shaping, refactoring, and the creation of reusable frameworks while ensuring the FDE pods maintain their ownership of customer insights and daily execution. You will also work closely with our B2B Platform Team and other long-term stakeholders to establish early alignment on which elements should be generalized, which should remain specific to customers, and what successful handoff looks like.No travel is required for this role. The position is available in San Francisco or New York City, utilizing a hybrid work model that includes three days in the office each week. We provide relocation assistance, and while travel is generally less than 10%, it may increase for key projects or launches.In this Role, You WillProvide Direct Support to Customer Pods: Collaborate with customer-focused FDE teams to aid in generalization by actively participating in architecture, product shaping, refactoring, and execution.Transform Customer Insights into Strategic Platform Initiatives: Convert recurring customer signals into clear hypotheses with defined success metrics, project scope, and validation strategies tailored to real-world constraints.Elevate Engineering Standards: Establish organization-wide quality benchmarks through detailed code reviews and mentorship, while developing lightweight developer tools that prioritize good architecture, readability, and correctness.

Join Olo, a premier SaaS provider revolutionizing the restaurant sector by enhancing digital transformation. Our platform empowers businesses to offer highly personalized and lucrative guest experiences, ensuring that every interaction feels special and tailored.As a Staff Security Engineer, you will serve as the technical anchor for the Olo Security Blue Team, spearheading initiatives that fortify our systems while safeguarding sensitive client and customer information. Reporting directly to the Security Engineering Director, you will play a pivotal role in establishing robust security measures that maintain operational integrity.Your responsibilities will encompass identifying and prioritizing future projects based on risk assessments, executing cross-departmental initiatives with both ownership and excellence, and mentoring fellow team members to enhance their skill sets. If you are driven by the desire to mitigate risks while fostering innovation, we invite you to become part of our dynamic team!This position offers the flexibility to work remotely from anywhere within the U.S. or from Olo's vibrant headquarters located in NYC.

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.

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 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.

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 Waymo Waymo develops autonomous driving technology with the goal of making transportation safer and more accessible. Originally launched in 2009 as the Google Self-Driving Car Project, Waymo has logged over 100 million autonomous miles and completed more than ten million rider-only trips. The company focuses on building the Waymo Driver to support safe, efficient travel across a range of vehicle platforms. Team Overview: Prediction & Planning - System Architecture The Predictive Planning (PrePlan) team builds machine learning systems that help the Waymo Driver anticipate possible scenarios and plan actions accordingly. By transforming large-scale driving data into robust deep neural networks, the team enables vehicles to navigate complex, real-world environments with confidence. The system architecture group ensures these models work smoothly within Waymo's technology stack. This includes attention to kinematics, interfaces, and data representations. The team works across projects involving data pipelines, model integration, evaluation metrics, and the planner systems that guide autonomous vehicles. Role Details Title: Staff Machine Learning Engineer, Prediction & Planning - System Architecture Location: Mountain View, CA; San Francisco, CA; New York City, NY (hybrid) Reports to: Technical Lead Manager

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 the Senior Staff AI/ML Engineer Role Sigma Computing builds a platform that helps users explore and analyze massive datasets through a spreadsheet-like interface. Teams use Sigma to visualize data, create dynamic workbooks, and build custom data applications and workflows. AI is central to Sigma’s next phase: making workflow construction easier, surfacing insights, and supporting rapid decision-making for enterprise users. This Senior Staff AI/ML Engineer position joins a team focused on shaping Sigma’s AI foundation. Work here impacts the daily operations of organizations that depend on Sigma for business intelligence and application development. What You Will Do Work with product, design, and engineering to identify AI/ML projects that deliver the most value. Design and build AI systems that make complex processes accessible, including recommendation engines, natural language interfaces, and intelligent workflow tools. Develop and improve AI/ML infrastructure for both internal and customer-facing features. Tackle user experience challenges where AI meets business intelligence and app development. What We Look For Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (required). More than 10 years of experience building and deploying production AI/ML systems. Deep knowledge of machine learning, deep learning, and applied AI. Hands-on skill with the full machine learning lifecycle: data curation, training, deployment, and monitoring. History of delivering reliable solutions in areas such as recommendations, search, machine translation, or similar complex systems. Experience adapting or training foundational models (language-based or multimodal) for domain-specific use cases. Bonus Skills (or Areas to Grow Here) Background in building agents for planning, reasoning, and tool use. Familiarity with cloud platforms like AWS, GCP, or Azure. Experience working in a startup or high-growth company. Location: New York City, NY

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.

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.