Machine Learning Engineer
Machine Learning Engineer
Job type:
Permanent
Specialization:
Data and Analytics
Language Level:
English Level - Advanced (TOEIC 860),Japanese Level - None
Location:
Tokyo
Salary:
¥6,000,000.00 - ¥10,000,000.00 Yearly
Job Reference:
486188
A Global IT Service firm is looking for a Machine Learning Engineer for its Research Department.
Responsibilities:
- Developing cutting-edge solutions for various NLP tasks using neural networks, machine learning algorithms, and optimization techniques
- Build industry-leading search & recommendation system; develop highly scalable classifiers and tools leveraging machine learning; work on cutting-edge research models in NLP
- Understand product objectives and machine learning techniques; improve model and recommendation strategy
- Understand user behavior and apply ML algorithms to optimize E-commerce conversion and production experience
- Understand the diversity of business requirements, data, and assets; build cross-scenario technology backbones
- Work with cross-functional teams to grow important regional markets
Required Skills:
- One year or more experience in one or more of the following areas: machine learning, search, recommendation systems, data mining, or other related areas
- Bachelor or higher degree in computer science or a related technical discipline
- Solid experience with data structures or algorithms
- Software development experience through hands-on coding in a general-purpose programming language
- Familiarity with Triton or CUDA kernel programming is highly desirable
- Strong communication and teamwork skills
- Passion for technology and solving challenging problems
Why should you apply:
- Great opportunity to be able to work for well-established company
- Cross-departmental communication is possible in an international environment
Company Details:
Our client is a Global company with a strong presence across several business divisions. It has enjoyed sustained growth both domestically and overseas, including US and Europe. It proud itself of a diverse and international environment and a strong focus on equal opportunities, which translates into plenty of career opportunities. Given the variety of businesses, it deals with a strong variety of technologies so it is a great place to expand your skills!
Also, employees are welcome to choose their own setup (Windows/Mac, etc.); whatever makes them comfortable! Free meals are also provided at the company cafeteria. Their chefs work to create exciting new menus and dishes, so employees never get tired of the food!
Work Hours : 9:00 AM – 5:30 PM (Flextime or staggered working hours possible)
Work Style : Hybrid (Typically 4 days in the office, 1 day working from home)
Holidays : Saturdays, Sundays, public holidays, New Year holidays, paid leave, bereavement leave, and other special leave
Benefits: Full social insurance (employee pension insurance, health insurance, worker’s accident compensation insurance, unemployment insurance), DC pension plan, transportation allowance, childcare and caregiving support, cafeteria, retirement benefit system, welfare services (Relo Club), health counseling services, relocation support (visa support, moving), employee discounts (moving, language classes, etc.), and more
Interview Process: 3~4 times
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