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Process Automation Engineer II
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…site Process Automation standards. As the Process Automation Engineer II, you maintain the performance of ICS hardware and software, identify opportunities for process improvement and…
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Databricks Engineer
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. Databricks Data Engineer Associate/Professional or Databricks Solutions Architect certification.
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Modem System Test Engineer - Wireless Technologies and Ecosystems |
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We are seeking a passionate, detail-oriented Modem Systems Test Engineer with a focus on Wireless Coexistence (COEX). In this role, you will be at the forefront of validating multi-radio…
Added 5 mins ago
Implementation Engineer
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Remote, United States
Keeper is hiring a driven, Implementation Engineer to join our B2B Support team. This is a 100% remote position from select locations, with an opportunity to work a hybrid schedule for…
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Manufacturing Engineer
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The Manufacturing Engineer is responsible for implementing process technologies required to enhance the transition of products from design to manufacturing. They will also support the…
Added 6 mins ago
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Senior Product Engineer - Plant 10
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This Senior Product Engineer position will be located in our Plant 10 - Whitehall Casting Operation and will support manufacturing through process control, improvement initiatives, and…
Added 7 mins ago
ESS, Principal Software & Data Engineer
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The Principal Software & Data Engineer will be a foundational member of the Energy Management Systems (EMS) engineering organization, responsible for designing and building the software and…
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Senior Backend Engineer - Cloud Platform
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Added 10 mins ago
Senior Software Engineering Manager, Machine Learning, Maps
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Added 12 mins ago
Manufacturing Control Engineer (Onsite - Eagan, MN)
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…game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their…
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Advanced Process Support Engineer, Pumps/Cyclones/Valves
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Journeyman Test & Evaluation (T&E) Engineer
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Lead Software Engineer - ServiceNow
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Staff AI/ML Software Engineer - Level 5
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Google

Senior Software Engineering Manager, Machine Learning, Maps

Mountain View, CA, United States

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Job details

Posting language: English

Original job description

In most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:

Bachelor’s degree, or equivalent practical experience.
8 years of experience programming in C++, Java, Python, Kotlin or Go.
5 years of experience in a people management or technical leadership role.
Experience building and deploying Machine Learning models.
Experience with Generative AI.

Preferred qualifications:

Master's degree or PhD in Computer Science, or a related technical field.
7 years of experience deploying Machine Learning models in production environments.
Experience with Deep Learning, Computer Vision (e.g., object detection, OCR), and frameworks like TensorFlow or PyTorch.
Experience with large-scale data processing systems.
Ability to lead complex technical projects and collaborate with different stakeholders.

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. As an Engineering Manager, you will oversee a team handling complex technical challenges in extracting vital information like speed limits and road signs from massive datasets. Your team leverages Machine Learning (ML) and Computer Vision techniques to directly impact the safety and reliability of mapping and in-car systems used by millions worldwide. This is a unique opportunity to work at the intersection of ML, geospatial data, and the automotive industry, contributing to systems that have real-world impact on how people navigate.

The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.

The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google.

Lead a team of software engineers designing and deploying machine learning models to extract map features and attributes.
Set the strategic direction for the group, defining a multi-year technical outlook and aligning stakeholder goals.
Partner with senior architects to ensure ambiguous systems are driven toward solutions that scale and maintain high reliability.
Provide technical leadership, mentorship, and performance coaching to technical leads and engineers on the team.
Review systems designs and product development code to solve complex problems and ensure engineering best practices.

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More about this job

Skills

Machine learning
C++
Oracle Java
Python
Kotlin
Go
Team leadership
Computer science
Deep learning
OCR
TensorFlow
PyTorch
Process data
Leadership
Manage a team
Artificial intelligence
Natural language processing
Distributed computing
UI design
Traffic signs
ML
Lead a team
Coaching

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