NewAssociate, Quantitative Engineering Goldman Sachs & Co. LLCAssociate, Quantitative EngineeringNew York, NY$150,000–$189,000 / yearPrior experience must include one (1) year of experience (with a Master’s degree) OR two (2) years of experience (with a Bachelor’s degree) with 5 of the 7 following skills: C++, Java, or Python; developing probability and pricing models utilizing financial mathematics principles, including stochastic calculus, no-arbitrage pricing theory, partial differential equations, multivariable calculus, linear algebra, numerical methods, optimization, probability, or random processes; quantitative analysis and model development using advanced econometric, statistical, and mathematical techniques, including Bayesian analysis, time series analysis, or machine learning algorithms; performing risk management or scenario-based analysis; developing quantitative risk analytics, including factor models; developing rigorous and scalable data management and analysis tools to provide risk oversight and support the investment process; statistics and data driven performance analysis, including Linear Regression or Time Series Analysis to measure performance. Requires: Master’s degree (U.S. or foreign equivalent) in Financial Engineering, Financial Economics, Applied Mathematics, Data Science, Operations Research, or a related field and one (1) year of experience in job offered or a related quantitative engineering role OR Bachelor’s degree (U.S. or foreign equivalent) in Financial Engineering, Financial Economics, Applied Mathematics, Data Science, Operations Research, or a related field and two (2) years of experience in job offered or a related quantitative engineering role.
NewSnowflake Architect CYNET SYSTEMSSnowflake ArchitectHanover, NJ$50–$55 / hourTemporaryContractorPart timeAs a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
Java J2EE - Advanced Pinnacle Technical ResourcesJava J2EE - AdvancedBrooklyn,, New York$70–$80 / hourContractorAs a Lead Software Engineer within Security Services, you will play a pivotal role in an agile team, enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment.
NewVice President, Quantitative Engineering Goldman Sachs Services LLCVice President, Quantitative EngineeringNew York, NY$191,000–$236,800 / yearPrior experience must include one (1) year with PhD OR three (3) years with Master’s OR five (5) years with Bachelor’s with the following: programming Languages including C++, R, or Python; econometrics and Time-Series Analysis including modern time-series econometric techniques for forecasting, structural-break analysis, and regime-switching analysis; simulation and Uncertainty Quantification including Monte Carlo simulation and modern Conformal Prediction methods for uncertainty quantification; machine Learning and non-parametric statistics including statistical learning methods with emphasis on explainable ML, causal model selection, and hyperparameter tuning; production Cloud Deployment including implementation of mathematical and statistical models in scalable, production-grade cloud environments; data Management including management and processing of large-scale structured and unstructured datasets using database query languages and data management tools; model Validation and Documentation including design and execution of simulation studies, validation and theoretical justification, and production of comprehensive model risk documentation to support independent Model Risk Management (MRM) validation; and AI Agent Development including common agentic framework and context management, harness engineering, multi-agent orchestration, knowledge base integration, and safe code execution. Requires: PhD degree (U.S. or foreign equivalent) in Mathematics, Computer Science, Financial Engineering, Applied Mathematics, or related quantitative field such as Statistics and one (1) year of experience in job offered or a related quantitative engineering role OR Master’s degree (U.S. or foreign equivalent) in Mathematics, Computer Science, Financial Engineering, Applied Mathematics, or related quantitative field such as Statistics and three (3) years of experience in job offered or a related quantitative engineering role OR Bachelor’s degree (U.S. or foreign equivalent) in Mathematics, Computer Science, Financial Engineering, Applied Mathematics, or related quantitative field such as Statistics and five (5) years of experience in job offered or a related quantitative engineering role.
Staff Machine Learning Engineer, Document & Vision Intelligence Geico InsuranceStaff 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.
Machine Learning Engineer Rapinno TechMachine Learning EngineerJersey City, New JerseyExperience working on various steps of developing a data science solution, like problem scoping, data gathering, EDA, modelling, insights, visualizations, monitoring and maintenance. Experience working with demand forecasting, supply chain optimization, driver analysis, time series analysis, statistical models, regression models and deep learning models.
Principal AI / Machine Learning Engineer ZT SystemsPrincipal AI / Machine Learning EngineerSecaucus, NJ$141,000–$188,000 / yearPlease be aware that certain positions may require the applicant to either 1) be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or 2) be eligible to obtain an export control license or license exception from the Bureau of Industry and Science & U.S. Department of Commerce. The AI/ML Transformation Architect will be the pivotal role in shaping ZT's future-state vision for AI & ML by identifying high-impact use cases, preparing the organization structurally and technically for adoption, and driving successful implementation of applications.
Director Of Data Science / Machine Learning Adonis TechnologyDirector Of Data Science / Machine LearningNew York City, NY$250,000–$275,000 / yearThrough advanced automation, data science, and AI Agents, Adonis helps revenue teams detect vulnerabilities, optimize workflows, and deploy precise solutions that drive reliable and scalable financial outcomes. This role combines deep healthcare domain expertise with advanced AI/ML knowledge to ensure Adonis delivers cutting-edge, compliant, and valuable AI solutions to healthcare customers.
NewMachine Learning Engineer GCP Vertex AI Apache Iceberg IPolarityMachine Learning Engineer GCP Vertex AI Apache IcebergWhippany, New JerseyWe are looking for a platform-oriented Machine Learning Engineer who can bridge the gap between Data Science and Data Engineering and transform ML models into scalable, governed, production-ready solutions on GCP. IPolarity LLC integrates expert industry knowledge, process and technology frameworks, strong partnerships, and a reliable work force to provide strategic solutions that generate sustainable results.
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, AI Agent Platform Geico InsuranceStaff Machine Learning Engineer, AI Agent PlatformNew York City, NY$115,000–$260,000 / yearBuild and optimize context engineering systems - memory hierarchies (short-term, working, long-term), RAG pipelines, scratchpads, context compaction/summarization, and dynamic skill/tool loading - ensuring AI agents receive the right information at the right time while minimizing token waste. Architect scalable multi-tenant backend systems for AI agent workflows - including AI agent configuration, evaluation, synthetic data generation, workflow simulation & evaluation, MCP server registry, A2A communication infrastructure, and guardrail enforcement layers using AKS, FastAPI, etc.
Senior Staff Machine Learning Engineer, Post Training Airbnb IncSenior Staff Machine Learning Engineer, Post TrainingNYRemote$248,000–$310,000 / yearThe team develops and enhances various AI models, ML services and tools including LLM fine-tuning, alignment and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. Post-training experience in areas like data processing for fine-tuning; responsible LLMs; LLM alignment; reinforcement learning; efficient training and inference; language model evaluation; and/or multilingual and multimodal modeling.
Lead Machine Learning Engineer - Generative AI and Agent Platforms JPMorgan Chase Bank, N.A.Lead Machine Learning Engineer - Generative AI and Agent PlatformsJersey City, NJFull timeAs an Applied AI and Machine Learning Lead at JPMorganChase within Payments Technology, Data Analytics, Regulatory & Compliance (Data Analytics) in the Commercial & Investment Bank , you will build and operate unique Agentic operation system and runtime that allows engineering teams build and safely, reliably run their AI agents. You'll work across Corporate & Investment Bank sub-lines of business and Payments, using Platform's runtime, retrieval, and memory primitives plus platforms such as Databricks and the GenAI Gateway, and apply MLOps for automation, continuous delivery, and compliance with AI/ML control expectations.
NewMachine Learning Engineer GCP Vertex AI Apache Iceberg IPolarity LLCMachine Learning Engineer GCP Vertex AI Apache IcebergWhippany, NJFull timeWe are looking for a platform-oriented Machine Learning Engineer who can bridge the gap between Data Science and Data Engineering and transform ML models into scalable, governed, production-ready solutions on GCP. • Develop scalable data processing pipelines using Dataproc, Apache Spark, PySpark, and Spark SQL.
Staff Machine Learning Engineer Boulevard Labs IncStaff Machine Learning EngineerNYRemote$136,000–$171,000 / yearBefore launching in 2016, our founders spent months interviewing salon managers and working behind front desks to understand their pain points so we could design a modern, user-friendly platform that meets the unique needs of their business. Experience designing scalable data pipelines, data quality, governance and working with modern cloud data platforms such as Snowflake, Databricks, or similar.
AI/Machine Learning Engineer TechDigitalAI/Machine Learning EngineerJersey City, NJThis position is essential for developing strategies that enhance client service delivery and product optimization, using cutting-edge machine learning tools and techniques to drive data-driven decision-making within the organization. Design And Implement Advanced Machine Learning Algorithms Using Tensorflow And Pytorch To Extract Insights From Large Datasets, Delivering Customized Analytical Reports Tailored To The Needs Of Colleagues, Clients, And Stakeholders.
Machine Learning Engineer – Forecasting & Production Systems Mai PlacementMachine Learning Engineer – Forecasting & Production SystemsNewark, NJExperience with methods such as gradient boosting, regression, tree-based models, classical statistical forecasting, probabilistic forecasting, or deep-learning approaches to temporal data is relevant. We are specifically looking for experience building predictive models where time, historical patterns, seasonality, trends, and future outcomes matter .
Staff Computer Vision And Machine Learning Engineer Geico InsuranceStaff 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.
Staff Machine Learning Operations Engineer Garner Health Technology, Inc.Staff Machine Learning Operations EngineerNew York City, NY$298,000–$351,000 / yearWe partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. Establish Drift Monitoring: Design and implement automated data drift and concept drift monitoring systems that alert the team when models degrade, laying the groundwork for future Continuous Training (CT) architectures.
Remote Machine Learning Engineer AngenexRemote Machine Learning EngineerJersey City, New JerseyRemoteWe're seeking an outstanding ML Engineer to join our data team and help build out best-in-class machine learning solutions on our platform, powering innovative solutions in marketing & sales and commercial analytics. Advanced degree in computer science, mathematics, statistics or related area of study strongly preferred.