Jobs
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Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
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Provide technical leadership on high-impact projects and manage project priorities, deadlines, and deliverables.
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Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.
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Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies.
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Migrate existing frameworks (Tensor Flow, JAX, Py Torch) runtimes (TFExecutor, TFRT, PJRT) and product area’s custom workflows (AdBrain, YouTube, Search) onto ML runtime, minimizing any user disruption.
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Bachelor’s degree or equivalent practical experience.
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8 years of experience in software development.
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5 years of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
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5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
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5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
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About Google

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
Employees
Mountain View
Headquarters
$1,700B
Valuation
Reviews
4.5
10 reviews
Work-life balance
3.2
Compensation
4.3
Culture
4.1
Career
4.2
Management
3.8
82%
Recommend to a friend
Pros
Great benefits and perks
Innovative and interesting work
Career development and learning opportunities
Cons
High pressure and expectations
Long hours and heavy workload
Fast-paced and overwhelming environment
Salary Ranges
57,503 data points
Mid/L4
Mid/L4 · Accessibility Analyst
1 reports
$214,500
total per year
Base
$165,000
Stock
-
Bonus
-
$214,500
$214,500
Interview experience
9 interviews
Difficulty
3.4
/ 5
Duration
14-28 weeks
Offer rate
44%
Experience
Positive 0%
Neutral 56%
Negative 44%
Interview process
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
News & Buzz
Our eighth generation TPUs: two chips for the agentic era - blog.google
blog.google
News
·
5d ago
Google Maps on Android Auto now shows bigger labels on streets along your route [Gallery] - 9to5Google
9to5Google
News
·
5d ago
Google to invest up to $40 billion in AI rival Anthropic - Reuters
Reuters
News
·
5d ago
Google to invest up to $40B in Anthropic in cash and compute - TechCrunch
TechCrunch
News
·
5d ago