Product Manager II, Machine Learning Infrastructure Efficiency
Minimum Qualifications
Is this the role you are looking for If so read on for more details, and make sure to apply today.
- Bachelor's degree or equivalent practical experience.
- 4 years of experience in product management, consulting, co-founder or related technical role.
- 2 years of experience building and shipping technical products.
- Experience developing or launching products or technologies within Machine Learning.
Preferred Qualifications
- Master's degree in Business Administration or PhD in a technical field.
- Experience training, fine tuning, and deploying large language models.
- Experience with cloud Infrastructure (e.g., compute, networking, storage).
- Experience with narrative and storytelling that support usage and adoption.
About The Job
At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.
In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds.
You can break down complex problems into steps that drive product development.
One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management.
Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information.
We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.
Google’s Machine Learning Systems and Cloud AI (MSCA) team builds the technical foundation behind Google’s products as well as for Google Cloud’s compute and AI / ML offerings.
The team manages the underlying design elements, developer platforms, product components, and infrastructure at Google. Core ML is the central machine learning platform team that provides ML software tools, services, solutions and infrastructure to the Google product areas.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably.
Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
- Identify opportunities to improve the efficiency of training, serving, and fine tuning workloads.
- Develop partnerships with Google’s product areas (e.g., Search, Ads, YouTube, Cloud, etc.) and understand their evolving needs for Generative AI training and serving.
- Understand and develop a segmented view of workloads and platform to workload mapping.
- Own and set the strategy, roadmap, and implementation for multiple areas of focus, balancing priorities against various business needs.
J-18808-Ljbffr
Product Manager - Machine Learning Initiatives (Samsung Ads)
As the Product Manager, Machine Learning Initiatives you will lead development and monetization of new machine learning, data and performance advertising solutions. Experience applying machine learning in product development. Work cross-functionally with global engineering, design, product marketing...
Product Manager Infrastructure
A company is looking for a Product Manager for Infrastructure. ...
Machine Learning Infrastructure Engineer
In your role as a machine learning infrastructure engineer on our team you will: - Spend most of your time working on data and machine learning systems. Your efforts will directly improve the machine learning workflow of both our team as well as a number of partner teams, whose scientists leverage o...
Product Manager II
Our client, a multinational e-commerce corporation is looking to identify a Product Manager II to join their team. Interface with other managers building front end apps and platforms teams SEMS ( engineering managers). As a Technical Product Manager, responsible for overseeing the development and ma...
AIML - Machine Learning SW/HW Co-Design Engineer, Machine Learning Platform & Infrastructure
Machine Learning and Platforms (MLPT) team is in Apple's AIML Org. MLPT's On-device machine learning (ML) team builds the inference stack that runs all ML networks on Apple Silicon. Machine Learning and Platforms Technology (MLPT) team is in Apple's AIML Org. MLPT's On-device machine learning (ML) t...
Product Manager II: 24-01939
Product Management, Salesforce, Cross-functional Collaboration, Sales Technologies, Enterprise Application. Coordinate product planning, prioritization, and roadmap development. Engage directly with sales teams to understand needs, incorporating feedback into the product roadmap. Proven experience i...
Machine Learning Systems Infrastructure Engineer - SIML, ISE
We are the System Intelligent and Machine Learning (SIML) group that provides foundational computer vision and machine learning technologies to Apple's ecosystem. In this role, you will be building infrastructure to support product-focused machine learning projects. Do you think Computer Vision and ...
Product Manager II, Games Multiplatform Experiences
The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we d...
Senior Product Manager II, Observability
Senior Product Manager II - Observability. Sumo Logic is seeking a product management leader who will help lead, develop, and manage the observability solution business case, product roadmap, and vision. Defining product strategy and roadmap to deliver a product that our customers value. Identifying...
Senior Developer Relationship Manager – Physics Informed Machine Learning
We are looking for a Senior Developer Relation Manager to drive strategic partnerships with ISVs and developer communities who are building AI enhanced engineering and scientific simulation platforms, applications, solutions, or services with Physics Informed Machine Learning. In this important role...