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.
NewSenior Ux Designer TEKsystemsSenior Ux DesignerRoseland, NJ$75–$79 / hourWorking closely with Product, Engineering, and other UX professionals, you'll design intuitive and scalable experiences that help customers accomplish complex tasks with ease. Highly Preferred Experience working on products that leverage: Generative AI Conversational AI Machine Learning Intelligent Automation Motion design or animation experience.
NewDirector, Analytics and Data Science (Hybrid) Institute of International EducationDirector, Analytics and Data Science (Hybrid)New York, NY$119,320.95–$144,258 / yearThis role will provide hands-on expertise in delivering complex business intelligence (BI) to internal and external stakeholders of the Institute of International Education (IIE) and will serve as the Data Analytics and Data Science subject matter expert (SME) for IIE’s Enterprise Systems design and maintenance teams as well as the SME other IIE internal and external stakeholders. A candidate’s starting salary is determined by various factors including, but not limited to, relevant work experience, job-related knowledge, skills, abilities, internal organizational equity, and geographic region.
NewSenior Product Manager - (Accounting/Finance ERP Experience required) JobotSenior Product Manager - (Accounting/Finance ERP Experience required)New York, NY$140,000–$185,000 / yearThe ideal candidate will bring a unique blend of finance expertise, product management experience, and technical curiosity to partner with engineering, design, and go-to-market teams to build products that solve real-world business problems. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal.
NewForward Deployed Engineer JobotForward Deployed EngineerNew York, NY$160,000–$300,000 / yearOur client is a leading data analytics and technology consulting firm that partners with private equity firms and their portfolio companies to solve complex business challenges through AI, advanced analytics, and modern data engineering. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal.
NewUSA-Project Manager III (Scientific) TalentBurst, Inc.USA-Project Manager III (Scientific)Morristown, NJto identify prognostic factors (population selection) or prediction of response; o Help to strengthen the PRI (Patient Relevant Information) strategy moving from PRO to Patient Relevant Information including digital using appropriate research insight and methods operationalized by patient centric expert groups (concept elicitation, patient preferences studies, patients surveys, social media listening, care delivery experience, drug delivery device use etc) to ensure patients’ relevant endpoints are integrated in ph3. • Ensure and enable GPT cross functional workstreams including right functions to identify remaining health care needs in terms of outcomes and populations of interest, impact of care delivery experience, and differentiation versus SoC, and main competitors at launch for patients and other Health System Stakeholders critical to patient care access (payers) and delivery (HCPs) to build value added patient informed TVP and translate it in trial designs & evidence generation programs to be included into IEGP.
NewMachine Learning Engineer/Senior Machine Learning Engineer - Devops, AI for Drug Discovery GenentechMachine Learning Engineer/Senior Machine Learning Engineer - Devops, AI for Drug DiscoveryNew York City, New YorkThe expected salary range for this position based on the primary location of California for the Machine Learning Engineer is $147,600, - $274,000 and New York is $141,100 - $262,100, and the Senior Machine Learning Engineer for California is $167,400 - $310,800 and New York is $160,100 - $297,300. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.
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.
Staff Machine Learning Engineer, Generative AI Modeling And Inference SnapchatStaff Machine Learning Engineer, Generative AI Modeling And InferenceNew York, NY$229,000–$343,000 / yearOur team creates intuitive tools, platforms, and agentic systems that empower creators, developers, and internal teams to bring ideas to life, while advancing personalized, human-centric experiences across mobile, web, and wearable devices like Spectacles. 8+ years of post-Bachelor's machine learning or related experience; or a Master's degree in a technical field + 7+ years of post-grad ML or related experience; or a PhD in a related technical field + 4+ years of post-grad ML or related experience.
Remote | Machine Learning Research Scientist — $95–$115/hour 24-MagRemote | Machine Learning Research Scientist — $95–$115/hourNew York, New YorkRemoteSelected researchers will work on well-scoped but open-ended technical problems involving image models, language models, adversarial robustness, model compression, multilingual learning, and efficient training under constrained data and compute budgets. We are sharing a specialised consulting opportunity for experienced machine learning researchers with hands-on expertise training and improving deep learning models end-to-end across computer vision and language.
Staff Machine Learning Engineer, Personalization SpotifyStaff Machine Learning Engineer, PersonalizationNew York, NY$227,495–$324,993 / yearThe team owns and evolves the experiences that help listeners quickly connect with the content that matters most to them, including the Home Shortcuts experience and the underlying intelligence that powers it. This role is ideal for someone who enjoys taking models from research to production, driving technical direction in ambiguous problem spaces, and solving complex personalization challenges at global scale.
Machine Learning Engineering Manager, Personalization SpotifyMachine Learning Engineering Manager, PersonalizationNew York, NY$184,049–$262,928 / yearAs the Engineering Manager, you'll lead a talented team of machine learning, backend and data engineers while providing both technical direction and people leadership, helping the team deliver innovative ML capabilities that reach millions of listeners every day. The team is focused on training and improving the machine learning models that rank and personalize some of Spotify's most-loved listening experiences, including Radio and Daily Mix.
Machine Learning Engineer, Level 5 SnapchatMachine Learning Engineer, Level 5New York, NY$209,000–$313,000 / year5+ years of post-Bachelor's machine learning experience; or Master's degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning 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.
Machine Learning Engineer, Generative ML, Level 5 SnapchatMachine Learning Engineer, Generative ML, Level 5New York, NY$209,000–$313,000 / yearOur team creates intuitive tools, platforms, and agentic systems that empower creators, developers, and internal teams to bring ideas to life, while advancing personalized, human-centric experiences across mobile, web, and wearable devices like Spectacles. 5+ years of post-Bachelor's machine learning experience; or Master's degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience.
Machine Learning Engineer, Level 4 SnapchatMachine Learning Engineer, Level 4New York, NY$173,000–$259,000 / yearThe 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. 3+ years of post-Bachelor's machine learning experience; or Master's degree in a technical field + 2+ year of post-grad machine learning experience; or PhD in a relevant technical field.
Machine Learning Engineer, Generative ML, Level 4 SnapchatMachine Learning Engineer, Generative ML, Level 4New York, NY$173,000–$259,000 / yearOur team creates intuitive tools, platforms, and agentic systems that empower creators, developers, and internal teams to bring ideas to life, while advancing personalized, human-centric experiences across mobile, web, and wearable devices like Spectacles. 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.
Staff Machine Learning Engineer - Policy & Safety SpotifyStaff Machine Learning Engineer - Policy & SafetyNew York, NY$227,495–$324,993 / yearThat means turning complexity into clarity across hundreds of touchpoints-from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. Partner with cross-functional teams across Trust & Safety, Legal, Public Affairs, and Product to deliver safe user experiences.
Staff Machine Learning Engineer Charlie Health Engineering, Product & DesignStaff Machine Learning EngineerNew York City, NY$175,000–$255,000 / yearCharlie Health leads the nation in high-acuity virtual behavioral care, having delivered life-saving treatment to more than 100,000 clients nationwide. A bachelor's degree in a technical field, plus 8+ years of professional experience developing and delivering production software, including machine learning models; OR.
Machine Learning Engineer II, CNN Digital Products and Services Warner Bros. Discovery IncMachine Learning Engineer II, CNN Digital Products and ServicesNew York, NY$112,000–$208,000 / yearYou will work on production ML systems with measurable product impact, collaborating with cross-functional teams of engineers, data scientists, product managers, and editorial staff. Our ML/AI team works at the intersection of journalism, technology, and user experience, building systems that help people discover and engage with the news that matters to them.
VP, Data Science / Machine Learning Lead - Capital Markets & Fixed Income TWG Global AIVP, Data Science / Machine Learning Lead - Capital Markets & Fixed IncomeNew York, NY$290,000–$300,000 / yearAt TWG Group Holdings, LLC (“TWG Global”), we drive innovation and business transformation across a range of industries, including financial services (particularly capital markets and fixed income), insurance, technology, media, and sports, by leveraging data and AI as core assets. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development.