Principal Machine Learning Engineer Blaze TalentPrincipal Machine Learning EngineerNew York, New YorkPrincipal ML Engineer New York, NY (Hybrid) About the Company We're building AI-native enforcement infrastructure for enterprise communication — technology that catches and fixes compliance issues in real time, before an AI-generated message ever reaches a customer or counterparty, across every channel where AI represents the business. You'll own the systems that turn that science into a reliable, production-grade product: the pipelines that train models reproducibly, the evaluation infrastructure that proves they work, and the serving stack that runs them at scale.
Quantitative Researcher - PhD (USA) Trexquant Investment LPQuantitative Researcher - PhD (USA)Stamford, CTEvery day, our researchers tackle complex, open-ended problems using massive datasets, novel algorithms, and scientific experimentation - with the opportunity to see their ideas deployed in live markets. Develop systematic trading strategies using modern statistical and machine learning techniques, validating ideas against real market data through rigorous experimentation.
Machine Learning Operations Engineer BdiplusMachine Learning Operations EngineerNew York, NY$110,000–$130,000The MLOps Engineer will be responsible for building and maintaining the infrastructure that enables reliable deployment, monitoring, governance, and continuous improvement of production machine learning systems across enterprise client environments. From modern data engineering and AI-powered products to cloud-native architectures and enterprise automation, our teams work on cutting-edge technologies that transform how businesses operate.
Member of Research Staff, Voleon Securities Voleon Capital Management LpMember of Research Staff, Voleon SecuritiesNew York City, NYYour research colleagues across Voleon have collectively published hundreds of academic articles in top-tier venues on machine learning, systems, and theory, and we meet regularly to stay current on the latest academic research and share ideas. Background in modern statistical methods and machine learning with a track record as an applied researcher, preferably with experience in at least one of the following: optimal control, deep RL, deep learning, and causal inference.
Machine Learning Operations Engineer II S&P Global IncMachine Learning Operations Engineer IINew York, NY$130,000–$175,000 / yearWe balance pragmatic platform development with hands-on exploration at the frontier: building agentic applications ourselves, contributing to open-source tools, and defining what a mature agentic platform looks like before the industry has settled on the answers. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com.
Senior Associate - AI Product Scientist, Decision Intelligence New York Life Insurance CoSenior Associate - AI Product Scientist, Decision IntelligenceNew York, NY$100,000–$143,000 / yearWorking closely with product leaders, engineers, designers, and business stakeholders, you will translate complex behavioral and transactional data into actionable intelligence while ensuring solutions are scalable, measurable, and aligned with user needs. What Youll Do: Design, develop, deploy, and monitor machine learning models, propensity scores, and behavioral signal frameworks that power decision intelligence products and influence business outcomes.
Staff Infrastructure Engineer - Data Streaming SentinelOneStaff Infrastructure Engineer - Data StreamingNew York, NY$156,000–$215,000 / yearUnlock complete cloud portability for SentinelOne's services by building a highly automated, self-service infrastructure that can run seamlessly across AWS, GCP, and air-gapped on-prem environments. Collaborate closely with teams in Europe and India (US Eastern Time Zone preferred due to these collaboration requirements), working with orchestration tools such as Kubernetes (EKS, GKE), Jenkins, GitHub Actions, ArgoCD, and Terraform.
Client Platform Engineer Tapestry IncClient Platform EngineerNew York, NY$145,000–$160,000 / yearCourage: Doesn't hold back anything that needs to be said; provides current, direct, complete, and "actionable" positive and corrective feedback to others; lets people know where they stand; faces up to people problems on any person or situation (not including direct reports) quickly and directly; is not afraid to take negative action when necessary. Building Effective Teams: Blends people into teams when needed; creates strong morale and spirit in their team; shares wins and successes; fosters open dialogue; lets people finish and be responsible for their work; defines success in terms of the whole team; creates a feeling of belonging in the team.
Senior Backend Software Engineer - Agent Platform SentinelOneSenior Backend Software Engineer - Agent PlatformNew York, NY$132,000–$182,000 / yearYou'll help drive customer-critical incident response across the Agent Platform, rapidly build context across multiple platform services, and partner with engineering teams to continuously improve the platform's reliability, operability, and scalability as a whole. You will build and evolve the high-throughput, highly available services responsible for policy, configuration, and command distribution to millions of agents worldwide, while contributing to the agent platform protocols that enable other SentinelOne teams to deliver new security capabilities safely and at scale.
Software Engineer - Platform Snorkel AI IncSoftware Engineer - PlatformNew York City, NY$220,000–$300,000 / yearSnorkel''s Platform organization owns the infrastructure and services that power everything at Snorkel - the pipelines, evals, access layers, event systems, governance, compute, and agent infrastructure that every product team and customer deployment depends on. Whether you're looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you're fully supported in building your career in an environment designed for growth, learning, and shared success.
Enterprise Architect VNS HealthEnterprise ArchitectNew York, New York$122,300–$164,000 / yearFull timeThe role provides architectural leadership across cloud platforms, software-as-a-service ecosystems, data architecture, application programming interfaces, and enterprise integration patterns, with emphasis on AWS, Snowflake, Salesforce, and healthcare interoperability technologies. The role is responsible for advancing enterprise architecture capabilities that support healthcare payer and provider operations, with a focus on vendor application portfolio management, enterprise integration strategy, cloud modernization, and data architecture.
Principal Data and AI Architect MSIG HoldingsPrincipal Data and AI ArchitectWarren, New JerseyRemoteArchitect and evolve MSIG USA's hybrid data platform built on Microsoft Fabric, Databricks, and Azure Data Lake (OneLake) — ensuring the platform supports batch, streaming, and real-time data workloads across all insurance domains. This is a role for a deeply technical, intellectually curious architect who is equally comfortable shaping long-term strategies and rolling up their sleeves to validate designs, prototype solutions, and guide engineering teams through complex delivery challenges.
Principal Software Engineer, Machine Learning Infrastructure Snap IncPrincipal Software Engineer, Machine Learning InfrastructureNew York, NY$276,000–$414,000 / year10+ years of post-Bachelor's software development experience; or a Master's degree in a technical field + 9+ year of post-grad software development experience; or a PhD in a related technical field + 6+ years of post-grad software development experience. The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.
Manager, Machine Learning Engineering, Web Ads Ranking Snap IncManager, Machine Learning Engineering, Web Ads RankingNew York, NY$229,000–$343,000 / yearBuild the evaluation framework that enables rapid iteration and high-quality decision-making, working closely with Data Science and Product partners to define success metrics and measure outcomes. The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.
NewArtificial Intelligence/Machine Learning - Summer 2027 Intern Honeywell International IncArtificial Intelligence/Machine Learning - Summer 2027 InternNY$25.50–$45 / hourWe are a global automation company focused on helping customers run critical operations safely, reliably, and efficiently, with about $17B in 2025 sales, 54,000 employees, roughly 600 sites, and headquarters in Charlotte, NC. Honeywell Technologies is moving from automation toward autonomy by combining AI, controls, connected data, and domain expertise to help assets work harder, people work smarter, and processes run more efficiently.
AI Security Architect/Partner Tradeweb Markets IncAI Security Architect/PartnerNew York, NYRemote$140,000–$285,000 / yearDefine and implement security controls to mitigate AI-specific threats including prompt injection, model poisoning, adversarial attacks, data leakage, model theft, insecure plugins, excessive agency, and supply chain risks. Tradeweb plays a central role in modernizing market structure by developing innovative trading protocols, embedding analytics into execution, and building technology infrastructure that supports the convergence of traditional and digitally native financial markets.
Staff Computer Vision and Machine Learning Engineer GEICO GENERAL INSURANCE COMPANYStaff Computer Vision and Machine Learning EngineerNew York City, NY$130,000–$260,000 / yearYou will be the technical lead for a team of Computer Vision and Machine Learning engineers and/or data scientists focused on ensuring that computer vision and machine learning models are robust, high-performing, and seamlessly integrated into production systems. This role focuses on building scalable computer vision and machine learning models, mentoring junior engineers, and driving the full lifecycle of computer vision and machine learning model development.
Machine Learning Engineer 5 Star RecruitmentMachine Learning EngineerNewark, New JerseyYour responsibilities will encompass a wide range of tasks, from leading a small team of machine learning engineers to collaborating with cross-functional teams to deliver impactful solutions. Collaborate with business leaders, subject matter experts, and decision-makers to develop success criteria and optimize new products, features, policies, and models.
Staff Machine Learning Engineer, Document & Vision Intelligence GEICO GENERAL INSURANCE COMPANYStaff Machine Learning Engineer, Document & Vision IntelligenceNew York City, NY$130,000–$260,000 / yearThis role focuses on building scalable ML systems, applying AI-native thinking to accelerate experimentation and delivery, and partnering closely with product and business stakeholders to solve high-impact problems. You will be a technical leader for a team of Machine Learning engineers and/or data scientists focused on ensuring ML solutions are robust, high-performing, and seamlessly integrated into production systems.
Principal Machine Learning Engineer The Walt Disney CoPrincipal Machine Learning EngineerNew York, NY$207,400–$278,100 / yearThe N&E ML team is responsible for building robust data pipelines and advanced machine learning platforms that deliver personalized experiences to users across Disney's News & Entertainment portfolio including ABC News, ABC Entertainment, National Geographic, Marvel, and Disney Studios. Our services leverage machine learning models to enable real-time content personalization and targeted distribution across web, mobile, and connected TV platforms, ensuring that users receive the most relevant and engaging content tailored to their interests.