11에서 최고의 deployed engineer, generative ai, google cloud 채용공고 5개(지금 채용 중!)

(Seoul) Senior Applied Research Scientist · Cancer Screening - 전문연 가능
Lunit —서울
- 정규직
빠른 지원하기
Sales for Busway and MV Product
Siemens —서울
- 정규직
Senior Data Scientist - Manufacturing Data (KR)
Gauss Labs —서울
- 정규직
Data Scientist (유관 경력 2년 이상, 영어 가능자, Python, 서울)
Merck KGaA —서울
- 정규직
Machine Learning Engineer (전문연구요원, alternative military service), R&D
CLO Virtual Fashion —서울
- 정규직

Related jobs to explore

Based on your search for deployed engineer, generative ai, google cloud

[EnIT] Solution Architect - Canias ERP FCM 컨설팅
현대오토에버 —서울 강남구
현대오토에버(주), Canias ERP FCM 컨설팅 Solution Architect 모집 현대오토에버(주)가 Canias ERP FCM 컨설팅 분야의 Solution Architect 채용을 진행한다.
6일
[AI Research Div.] Research Engineer - Vision Language Action Game Agent (2년 이상 / 인턴)
KRAFTON —서울
No changes in employment type or salary during this period. Based on the mid-term evaluation, employment may be terminated early or not continued.

Show more related jobs

11의 deployed engineer, generative ai, google cloud에 대한 최신 취업소식을 받고 싶습니다.

계정에 로그인하면 SimplyHired의 서비스 이용약관과 쿠키 및 개인정보 취급방침에 동의하는 것입니다.

더 많은 지역의 채용공고 둘러보기

deployed engineer, generative ai, google cloud jobs near 11

서울 지역 Data Scientist 채용공고

경기도 수원 지역 Senior Scientist 채용공고

(Seoul) Senior Applied Research Scientist · Cancer Screening - 전문연 가능

Lunit
서울

빠른 지원하기

채용공고 세부정보

정규직

상세 직무 내용

"Conquering cancer through AI"

This position is open for candidates who reside in Korea and have a Korean proficiency appropriate for working in a Korean business.

Lunit, a portmanteau of ‘Learning unit,’ is a medical AI software company devoted to providing AI-powered total cancer care.
Our AI solutions help discover cancer and predict cancer treatment outcomes, achieving timely and individually-tailored cancer treatment.

️ About the Team

Who will I spend 8+ hours/day with?

You will work in the AI research department of the cancer screening group, with a group of enthusiastic and talented AI research scientists and engineers. We contribute to real-world products, while also solving meaningful and applied research projects.
The teams and members of the department have diverse cultural backgrounds, experience, and interests. Some of us are passionate about engineering, others about model-centric AI, and some others about data-centric AI. In the end, we are all proud of contributing to improving the lives of cancer patients.

What is the team culture like?

Our team fosters a friendly and open environment, encouraging idea sharing and collaboration in research, engineering, and team events.

️ About the Position

What will make me proud to work here?

You will have a direct impact on our mission to Conquer Cancer Through AI by contributing to more personalized treatment planning for cancer patients or early diagnosis of cancer. Our software has been recognized as best-in-class worldwide and is being used in real-world hospitals, laboratories, and research studies.
Your work will push forward our AI research frameworks, inference engines, and performance of Lunit’s AI models. Lunit has best-in-class products thanks to these components.
We have access to very large in-house labeled and unlabeled datasets. And, the cloud computing power to leverage them.
Current projects span a variety of topics, including but not restricted to foundation models, language models, large scale self-supervised learning, domain generalization, agentic AI, ML pipelines, risk prediction, and image quality assessment among others.
We contribute back to the community through publications, blog posts, dataset releases, and the organization of public events such as machine learning challenges or tutorials.
Experience personal and professional growth by working on diverse projects and collaborating with talented multi-disciplinary teams.

Roles & Responsibilities

Lead the research on AI models to advance the suite of Lunit’s products and the state-of-the-art of AI in medical image analysis.
Work closely with medical doctors, product managers, and research engineers to develop novel projects that align well with Lunit's needs in the present and future.
Push the organization’s technological advancement and translate technology into clinical practice.
Design and contribute hands-on across the full research lifecycle including data cleaning, pipeline management, and codebase structuring while providing technical guidance to junior members.

Tech stack

Programming languages/framework: Python, PyTorch, MLflow, Prefect, Langchain

Infrastructure: Google Cloud Platform
Tools: Git, Docker, Confluence, Jira, Cursor

Requirements

Qualifications

5+ years of research experience in machine learning (in academia or industry), preferably focusing on computer vision, medical image analysis, or natural language processing.
Master's or doctorate in computer science, biomedical engineering, physics, mathematics, electrical engineering or a related field.
Solid understanding of and experience with contemporary machine learning and image analysis techniques, and related software packages (e.g., deep neural nets, PyTorch, TensorFlow).
Experience in need-finding and designing ML-based software systems and deploying them to production environments.
Ability to communicate in Korean.
Strong interest to work on medical problems and advance the standard of care using AI.
Quick learner with strong analytical thinking and problem-solving abilities.
Highly responsible, have an eye for detail and motivated to build high quality and reliable solutions following the current best practices.
Team player with experience working in interdisciplinary research teams.
Proactive in sharing knowledge, initiating collaborations, and promoting a positive research environment.

Preferred Experiences

7+ years of research experience and 2+ years of industrial research experience (e.g., Ph.D. + 2 years of industry experience or Master's + 5 years of industry experience).
Solid experience with Git, Python, unit/integration testing, multithreading, and other software development practices such as agentic AI.
Experience working with medical image data.
Contributions to open-source repositories in Computer Vision, Machine Learning, or related areas.
Solid understanding of recent trends in AI Research (e.g., LLM, Stable Diffusion, Vision Transformers, Self-supervised Learning)
First-author publications in top-tier Computer Vision or Medical Imaging conferences or journals (CVPR/ICCV/ECCV, NeurIPS/ICLR/MedIA/TMI/MICCAI), or top-tier translational journals (e.g., Nature Medicine, JAMA, Lancet Digital Health).
Participation in Computer Vision/Medical Imaging challenges.

How to Apply

CV (English, free format)
Other relevant material (Optional)

️ Hiring Process

Document Screening Introductory Interview Technical Interview Presentation interview Culture-fit Interview Onboarding
- After the final interview, we may proceed with reference checks if needed

Work Conditions and Environment

Work Type: Full-Time(3-month probation)
Work Location : Lunit HQ (5F, 374, Gangnam-daero, Gangnam-gu, Seoul, 06241, Republic of Korea)
Salary: After Negotiation

ETC

If you misrepresent your experience or education or provide false or fraudulent information in or with your application, it may be grounds for cancellation of the employment.
Lunit is committed in providing the preferential processing to those eligible for employment protection (national merits and people with disabilities) relevant to related laws and regulations.

Benefits

Benefits & Perks

The office is at a very convenient location, just a minute away from Gangnam Station Exit 3.
Meal Allowance is provided (up to 12,000 KRW per meal) when working at the office.
Latest computer models, such as Macs and 4K monitors are provided and can be renewed every three years.
Seminar registration fees and book purchases are covered.
Regular in-house AI and medical seminars are held.
In-house English lessons (aka Luniversal) is provided for English development.
Access to high-quality AI learning resources & deep learning DevOps system.
Up to 1.2 million KRW worth of benefits points can be claimed annually.
Holiday Allowances are provided in the form of gifts or vouchers for Korean National holidays, Seollal and Chuseok.
Congratulatory and Condolence allowances, along with paid time off are provided.
Annual medical checkups and employee accident insurance are provided.

빠른 지원하기

검색결과 새로고침

11 지역 채용공고 deployed engineer, generative ai, google cloud건

(Seoul) Senior Applied Research Scientist · Cancer Screening - 전문연 가능

Sales for Busway and MV Product

Senior Data Scientist - Manufacturing Data (KR)

Data Scientist (유관 경력 2년 이상, 영어 가능자, Python, 서울)

Machine Learning Engineer (전문연구요원, alternative military service), R&D

Related jobs to explore

11의 deployed engineer, generative ai, google cloud에 대한 최신 취업소식을 받고 싶습니다.

더 많은 지역의 채용공고 둘러보기

구직자 도구

기업회원 도구

찾아보기

연결 상태 유지하기