Distinguished Software Engineer Discover Financial ServicesDistinguished Software EngineerNew York, NY$269,100–$307,200 / yearAs a Distinguished Engineer in Solutions Engineering, you will be the technical cornerstone of Bank Techs internal professional services organization — a team that deploys cross-domain expertise to accelerate Bank Techs most critical initiatives. You will move between high-priority initiatives in a SWAT-style model, rapidly orienting to new problem spaces and delivering technical direction that unblocks teams and de-risks delivery.
Distinguished Data Engineer (Marketing Technology) Discover Financial ServicesDistinguished Data Engineer (Marketing Technology)New York, NY$244,700–$279,200 / yearEvangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities. As a Director of Software Engineering within our AdTech organization, you will lead the technical strategy and architectural evolution of the platforms that power our most critical customer acquisition engines.
Director, Data Scientist - Generative AI Systems Discover Financial ServicesDirector, Data Scientist - Generative AI SystemsNew York, NY$269,100–$307,200 / yearAs a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelors Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 9 years of experience performing data analytics.
NewAI Developer - Remote Levi, Ray & ShoupAI Developer - RemoteNew York, NYRemote$40–$70 / hourWe are seeking a highly skilled and innovative AI Developer to design, build, and deploy cutting-edge AI-powered solutions that transform how our business operates. This role focuses on leveraging generative AI technologies to accelerate development, automate workflows, and deliver impactful solutions across the organization.
Director, Data Scientist Discover Financial ServicesDirector, Data ScientistNew York, NY$269,100–$307,200 / yearAs a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelors Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 9 years of experience performing data analytics.
Machine 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 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.
Machine Learning Engineer (Staff & Principal) Tubi, Inc.Machine Learning Engineer (Staff & Principal)New York, NY$239,000–$342,000 / yearFor all full-time, regular employees, in lieu of FOX Paid Parental Leave, Tubi offers a generous Parental Leave Program, which allows parents twelve (12) weeks of paid bonding leave within the first year of birth, adoption, surrogacy, or foster placement of a child in addition to applicable government leave program(s) and FOX's short-term disability policy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions.
Senior Machine Learning Engineer - Video AI (Vision & Creative Systems) Warner Bros. Discovery IncSenior Machine Learning Engineer - Video AI (Vision & Creative Systems)New York, NY$155,120–$288,080 / yearWe focus on taking ML from research to production, integrating models into real-world systems used by engineering, product, and creative teams. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next….
Machine Learning Engineer Staff & Principal Tubi IncMachine Learning Engineer Staff & PrincipalNew York, NY$239,000–$342,000 / yearFor all full-time, regular employees, in lieu of FOX Paid Parental Leave, Tubi offers a generous Parental Leave Program, which allows parents twelve (12) weeks of paid bonding leave within the first year of birth, adoption, surrogacy, or foster placement of a child in addition to applicable government leave program(s) and FOX's short-term disability policy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions.
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 Entravision Communications CorpMachine Learning EngineerNew York, NY$140,000–$170,000 / yearOur service portfolio enables high-performance campaigns while using highly competitive audience reach, cutting-edge mobile programmatic solutions, machine-learned bidding algorithms and demand-side platforms on a global scale. You will also play an analytical role researching, designing, implementing, and deploying full-stack scalable data analytics and machine learning solutions to challenge business issues, as well as working closely with our Tech and Ops team.
Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS) Capital One Financial CorpLead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS)New York, NY$197,300–$225,100 / yearIn this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.
Senior Staff Machine Learning Engineer, Growth Platform Engineering Airbnb IncSenior Staff Machine Learning Engineer, Growth Platform EngineeringNYRemote$244,000–$305,000 / yearLeverage third-party and in-house Machine Learning tools & infrastructure to develop reusable, highly differentiating and high-performing Machine Learning systems, enable fast model development, low-latency serving and ease of model quality upkeep. Work collaboratively with cross-functional partners including product managers, operations and data scientists, to identify opportunities for business impact; understand, refine, and prioritize requirements for machine learning, and drive engineering decisions.
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.
Senior Machine Learning Engineer, GenAI Security Reddit IncSenior Machine Learning Engineer, GenAI SecurityNYRemote$216,700–$303,400 / yearOwn model development end to end: define the security problem, assemble and label datasets, build ETL pipelines, engineer features, train models, evaluate quality, deploy to production, monitor performance, and retrain from production feedback. Training or fine-tuning neural text models for complex inputs such as long-context prompts, structured payloads, code-like content, multi-turn interactions, or tool calls.
NewLead Machine Learning Engineer Trident ConsultingLead Machine Learning EngineerNewark, NJWe are seeking a Lead Machine Learning Engineer to architect, develop, deploy, and scale Machine Learning and Agentic AI solutions that address complex business challenges. Since 2005, we've partnered with Fortune 500 and high-growth companies to deliver high-quality talent across technology, engineering, business operations, and professional services.
Machine Learning Engineer UnitXMachine Learning EngineerNY$174,304–$200,000 / yearBuild Automated Pipelines: Develop and maintain automated pipelines for data preprocessing, augmentation, and model training to continuously optimize deployed solutions. What Youll Do: Develop & Optimize Machine Learning Models: Design, train, and optimize deep learning models for defect detection and segmentation using high-resolution images and 3D sensor inputs.
Senior Machine Learning Engineer OpenTeams, Inc.Senior Machine Learning EngineerNYRemote$145,000–$250,000 / yearWe encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, disabled people, persons of all sexual orientations, gender identities and expressions. We''re seeking a Machine Learning Engineer to join our team supporting a strategic client engagement focused on deep learning model development for customer behavior prediction.
Staff Machine Learning Engineer, Personalization SpotifyStaff Machine Learning Engineer, PersonalizationNew York, NY$227,495–$324,993 / yearThis 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. The 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.