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★Lead ML Modeling Engineer (Lead Data Scientist) | Growing Dating App Business Level Japanese Required (N1 Level) ◆ Flextime & Hybrid Work ◆ In-house Service ◆ Annual Salary： 7 million ～ 10 million yen. -------------【About the company】------------- Holding company for romance and marriage matching application operation └Value-oriented matching application for people in their 20s, "with (operated by with Co., Ltd.)" └Matching application for romantic marriage "Omiai (Operated by Omiai Inc.)" -------------【 Job Description】------------- ■Your Role With the objective of reducing the operational workload of company-wide AI utilization, you will be responsible for development tasks centered on data pipelines, APIs, and application integration. Depending on your experience, you will also be tasked with high-priority business areas currently being driven by the team, such as incorporating algorithms into major products. ■Responsibilities 【Role of AI Application Engineer (ML Engineer)】 Development of AI Agents & Promotion of Company-wide AI Implementation ・Development work aimed at reducing operational workload associated with company-wide AI utilization ・Development of internal operational efficiency tools leveraging Generative AI APIs and Slack Bots ・Visualization via BI dashboards ・Updates to data quality management ・etc. Sophistication of Matching Algorithms for Existing Products ・Development, improvement, and operation of the following within with/Omiai: ・Mutual recommendation models ・Recommendation engines ・etc. ■Recruitment Background The company group is seeking an ML Engineer against the background of business expansion into new domains, the sophistication of matching algorithms in its existing mainstay dating and marriage matching application business, and an increasing need to reduce the company-wide operational workload through AI utilization. ■Team Structure You will join the Data Strategy Office, undertaking the company-wide AI implementation mission while working in close alignment with both the dating and marriage matching application businesses. An MLOps Engineer, who already leads the company's overall AI development, is scheduled to serve as the candidate's supervisor. ■Position Highlights Able to deliver value to both the product and internal operations High degree of discretion to move rapidly with a challenge-driven approach Involved in all phases of AI utilization, from PoC to production deployment Drive AI development while communicating closely with both the business and development teams Direct contribution to major, life-changing milestones for users -------------【 Requirements】------------- ▼ Required (*Meet all of the following) 3+ years of product development experience using SQL and Python Experience applying AI in B2C services Understanding of the fundamental theories of machine learning and experience applying them in practical settings Basic knowledge of mathematics, such as linear algebra and calculus, sufficient to understand and explain the concepts ▼ Preferred Knowledge and practical experience with recommendation engines, mutual recommendations, collaborative filtering, Learning-to-Rank, re-ranking, etc. Experience in validating effectiveness using A/B test design, causal inference, and propensity score matching Experience in model operations using MLOps tools (SageMaker, CI/CD, etc.) Experience using cloud infrastructure (AWS/GCP), particularly SageMaker, BigQuery, and S3 Development experience using coding agents (e.g., Codex, Claude Code) ▼ Ideal Applicants Able to think and act with a user-first mindset Proactively communicates with stakeholders and serves as a hub within the organization Autonomously discovers and solves challenges in highly uncertain new domains, with the ability to identify and take on new initiatives Engages not just in building products, but in the entire lifecycle—including development, operation, and improvement—with a strong focus on post-release stability and reliability -------------------------------------------------- 【Working Hours】 Flextime System 【Holidays】 ・Saturday/Sunday/National Holiday ・Annual Paid Leave ・New Year Holiday ・Parental Leav ・Nursing Care Leave ・Bereavement Leave 【Welfare】 ■ Hybrid Work The company allows employees to choose between "remote work" and "in-office work" based on the nature and circumstances of their daily tasks. (Employees are expected to manage this independently.) *For corporate department roles (accounting, PR, HR, etc.), regular in-office attendance may be requested due to certain paper-based operations. *In-office attendance will be requested when company-wide meetings are held (expected about twice a year / transportation expenses covered). *Approximately 90% of employees currently work remotely. ■ Flextime System (Core Hours: 11:00 AM – 4:00 PM) └ Standard working hours: 8 hours └ Break time: 1 hour ■ Overtime Work └ Available (For managerial/supervisory positions, overtime and holiday work are left to the employee's discretion.) ■ "Inspiring Experiences" Support Program ・Subsidy for expenses incurred to gain excellent experiences (Up to ¥60,000/year) └ Activities, movies, dining, exhibitions, travel, seminars, schools, etc. ■ Skill-Up Support Program ・Subsidy for expenses necessary to improve skills deemed essential for work (Up to ¥100,000/year) ■ Dating & Marriage Hunting Support ・Subsidy for related activities (Up to ¥10,000/year) ■ Babysitter Support ・Support for in-home childcare/caregiving and transportation to/from childcare facilities by a babysitter *Applicable when childcare fees exceed ¥2,200 ■ Lunch Support ・Subsidy provided for meals attended by two or more people (¥2,200 including tax per person) *Up to 3 times a month ■ Other Social Insurance and Allowances ・Full social insurance coverage (Health Insurance, Employees' Pension Insurance, Employment Insurance, Industrial Accident Compensation Insurance) ・Full transportation allowance (Up to ¥50,000/month) *Paid based on actual expenses ・Marriage congratulatory gift / Childbirth congratulatory gift (¥50,000 each) ・Employee referral bonus ・Performance-based bonus ■ Measures to Prevent Passive Smoking └ No smoking indoors -------------------------------------------------------------------------
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.