
Organizing the world's information and making it universally accessible.
Software Engineer III, AI/ML, Google Workspace
-
Write product or system development code.
-
Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)
-
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
-
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
-
Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.
-
Bachelor’s degree or equivalent practical experience.
-
2 years of experience programming in Python or C++.
-
1 year 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.
-
1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
전체 조회수
0
전체 지원 클릭
0
전체 Mock Apply
0
전체 스크랩
0
비슷한 채용공고

AI Performance Optimization Engineer
Lightning AI · New York, New York, United States; San Francisco, California, United States

Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning)
Capital One · McLean; Cambridge; San Jose; New York

AI ML Agent Engineer
Citigroup · PUNE, Mahārāshtra, India

AI ENGINEER L1
Wipro · Pune, India

Research Scientist, Reinforcement Learning
Google DeepMind · London, UK
Google 소개

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
직원 수
Mountain View
본사 위치
$1,700B
기업 가치
리뷰
10개 리뷰
4.5
10개 리뷰
워라밸
3.2
보상
4.3
문화
4.1
커리어
4.2
경영진
3.8
82%
지인 추천률
장점
Great benefits and perks
Innovative and interesting work
Career development and learning opportunities
단점
High pressure and expectations
Long hours and heavy workload
Fast-paced and overwhelming environment
연봉 정보
57,503개 데이터
Junior/L3
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
L3
L4
L5
Junior/L3 · Data Scientist L3
0개 리포트
$176,704
총 연봉
기본급
-
주식
-
보너스
-
$150,298
$203,110
면접 후기
후기 9개
난이도
3.4
/ 5
소요 기간
14-28주
합격률
44%
경험
긍정 0%
보통 56%
부정 44%
면접 과정
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
최근 소식
Our eighth generation TPUs: two chips for the agentic era - blog.google
blog.google
News
·
1w ago
Google Maps on Android Auto now shows bigger labels on streets along your route [Gallery] - 9to5Google
9to5Google
News
·
1w ago
Google to invest up to $40 billion in AI rival Anthropic - Reuters
Reuters
News
·
1w ago
Google to invest up to $40B in Anthropic in cash and compute - TechCrunch
TechCrunch
News
·
1w ago