Manager, Machine Learning Salary at Genpact BETA

AIML - Sr Engineering Program Manager, Machine Learning FM New York City,New York,United States Machine Learning and AI Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each others ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. Its the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, youll do more than join something youll add something. Are you passionate about overseeing evaluating ML models and validating AI applications? We are looking for an engineering program manager to lead the development of the next phase of our ML international locales expansion. The successful can

Senior Manager, Machine Learning Engineering (People Leader, Bank Modernization) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. Youll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. Youll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What youll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In 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 mode

Are you ready to revolutionize the advertising industry? At Cognitiv, we are not just another AdTech company-we are industry trailblazers redefining media buying with our Deep Learning Advertising Platform. Since 2015, we have harnessed the power of cutting-edge deep learning technology and data science to transform how brands connect with their customers. Our mission? To bring intelligence to advertising and deliver unparalleled precision, relevance, and impact at scale. With our innovative platform, advertisers enjoy unprecedented flexibility-whether it is activating Dynamic Deals through their preferred DSP, leveraging our managed service DSP, or utilizing our industry-first ContextGPT product. As a part of Cognitiv, you will be at the forefront of AI-driven advertising solutions, driving change and achieving remarkable growth in a rapidly evolving industry. Life At Cognitiv Our solutions provide advertisers with more time and freedom to concentrate on what matters to them most, bot

Engineering Manager – Machine Learning A mission-driven AI scale-up in San Francisco is expanding its machine learning learning team, hiring a hands-on engineering manager. You’d lead a small team and remain involved with hands on applied ML work – building, fine tuning and deploying models into production. They’re using LLMs and cutting-edge ML to solve massive challenges in healthcare and they’re scaling fast. What You’ll Do Lead and grow a high-performing ML team Drive end-to-end LLM development: fine-tuning, deployment, evaluation Build tools to streamline the ML lifecycle Collaborate across research, engineering, and product teams Balance big ideas with production-grade execution What You Bring 7+ years in ML, 2+ years leading engineering teams Deep experience training and deploying open source LLMs (ideally Llama and Mistral) Strong with Python, PyTorch, Kubernetes Skilled communicator and team builder MS/PhD in CS or related field preferred Perks $250-300k + equity Unlimited PTO

Engineering Manager – Machine Learning A mission-driven AI scale-up in San Francisco is expanding its machine learning learning team, hiring a hands-on engineering manager. You’d lead a small team and remain involved with hands on applied ML work – building, fine tuning and deploying models into production. They’re using LLMs and cutting-edge ML to solve massive challenges in healthcare and they’re scaling fast. What You’ll Do Lead and grow a high-performing ML team Drive end-to-end LLM development: fine-tuning, deployment, evaluation Build tools to streamline the ML lifecycle Collaborate across research, engineering, and product teams Balance big ideas with production-grade execution What You Bring 7+ years in ML, 2+ years leading engineering teams Deep experience training and deploying open source LLMs (ideally Llama and Mistral) Strong with Python, PyTorch, Kubernetes Skilled communicator and team builder MS/PhD in CS or related field preferred Perks $250-300k + equity Unlimited PTO

Center 1 (19052), United States of America, McLean, Virginia Director, Technical Program Management - Machine Learning Are you interested in leading programs that deliver on critical business goals and build large scale products & platforms? **About Capital One:** At Capital One, were changing banking for good. We were founded on the belief that no one should be locked out of the financial system. Were dedicated to helping foster a world where everyone has an equal opportunity to prosper. We believe that Machine Learning (ML) represents the biggest opportunity in financial services today, and is a chance to revolutionize the industry. Capital Ones commitment to Machine Learning has sponsorship from the CEO, the Board of Directors, and the executive committee of the company. The Machine Learning Experience (MLX) org is at the heart of this effort, and is leading the way in building and delivering platforms, intelligent customer experiences that supercharge responsible ML across Capital

As a Manager for ML Research on the Perception and Safety R&D Team, you will lead a small highly-leveraged group developing ML capabilities for robotic perception technologies that will enable our robots to operate safely around people. Every day you will work to build, lead, and nurture a team that researches, designs, and builds machine learning-based perception models to run on our robots. You will help chart a course for a future where humans and robots can coexist in complex spaces. You will also get hands-on with the team as you develop and integrate your work into the embedded perception systems that make our robots safe and reactive. Boston Dynamics is a world leader in mobile robots, tackling some of the toughest robotics challenges. In this role you will work to create novel solutions to one of the most important problems in robotics. If you are creative, thrive in a small team environment, and passionate about a world where humans and robots truly work together - come join u

Job Description Job Description Responsibilities Lead the Machine Learning and Applied Science team through strategic roadmaps to support business initiatives with high impact. Guide the teams technically, engaging in architecture definition, implementation of best practices, and troubleshooting when needed. Mange the team through all phases of machine learning development, from concept and design to deployment and monitoring. Stay ahead of state-of-the-art research and industry trends in machine learning, computer vision, pricing algorithms, and related fields. Collaborate with other Engineering and Product teams to evaluate requirements and use cases for new systems. Invest in the career development of the team members, develop future leaders, and create a culture of cohesion and teamwork. Participate in talent acquisition processes to ensure that we have world class engineers across all skill and experience levels. Establish metrics to measure the productivity of the team, hold peop