[Machine Learning Engineer (Lead Class)] Remote / Discretionary Labor System / Lead Development of Machine Learning AlgorithmsTranslated from Japanese

▼Job Description 【Company Mission】 "To make all real-world information processable by software." Develop and verify cutting-edge technologies that contribute to solving market challenges, focusing on machine learning for processing real-world data. 【Business Overview】 Idein is a tech company aiming to "create a world made of software." Our vision is to digitize phenomena occurring in the physical world and make them freely controllable. Our core business revolves around the edge AI/IoT platform "Actcast," which enables large-scale remote operation of edge devices and the development of advanced AI technologies for perception and control of the physical world. A key characteristic of our business is that we focus not only on AI itself but also on its implementation and large-scale operation in our technology and business development efforts. We are committed to growing into a company that can solve more complex challenges for a greater number of customers by creating a cycle of on-site problem-solving and product growth, thereby realizing transformation through software in more and more real-world scenarios. 【Department Mission】 Leverage existing experience and skills while continuously learning, develop machine learning technologies to solve challenges for our company and clients, and bring them to the world to create value. 【Responsibilities of the Position】 To achieve our mission, you will lead the development of machine learning algorithms that solve domain-specific problems. In internal and commissioned projects, you will be responsible for identifying and planning the resolution of technical challenges, contributing not only through hands-on development but also from a leading position. *This position is for an engineer in the AI Development Department, which primarily handles commissioned development projects.* There are attractions such as the excitement of releasing entirely new products, concepts, and technologies to the world, as well as the experience and growth opportunities gained by being in a rapidly growing organization. Phases Handled: Requirements definition, technical investigation, development, and verification of machine learning algorithms for solving domain problems (operation and maintenance are not included). 【Specific Job Duties】 - Lead development in a leading role while communicating with team members. - Engage in technical discussions and manage expectations with external stakeholders. - Develop algorithms for processing various sensor data. - Define ambiguous domain requirements into clear, actionable problems. - Investigate, implement, and evaluate methods for domain problems. - Investigate and implement techniques based on research papers, and devise and implement original methods. - Lightweight and optimize machine learning models for operation on edge devices. - Model design, experiment management, summarization of evaluation results, and organization of next actions. - And other related tasks. 【Idein's Strengths】 - Possesses proprietary compiler technology for accelerating the inference of Deep Learning models. - Possesses expertise in development considering computational resources for model design and optimization, giving us a competitive edge. - Advancing business development utilizing our unique technological capabilities (e.g., research and development of algorithms for perception and motion planning in next-generation vehicles). 【Assigned Department】 AI Development Department 【Department Size and Member Composition】 - Department: AI Development Department - Members: Approximately 15 (including seconded members from partner companies) - Activities are divided into small groups of 3-5 people. We provide full support to help you smoothly integrate into the organization. - 1-on-1 Meetings with Mentors: Conducted as needed, with intensive sessions immediately after joining. - 1-on-1 Meetings with Supervisor: Held bi-weekly. - Knowledge Sharing Seminars (Sharing past cases and input content): Held bi-weekly. - Beer Bash (Casual gathering with management for food and drinks): Held every Friday from 5 PM. - All-Hands Meetings: Held weekly, with venue secured at the beginning of each quarter. - And other initiatives. - Each engineer focuses on their assigned projects. - Technical exchange through seminars and review sessions. - Flexible work style with discretionary labor system and remote-first approach. 【Background and Challenges】 Idein is a startup company that combines technological prowess in building edge AI from the ground up with the ability to expand through collaborations with industry leaders and our own product, "Actcast." We are collaborating with Aisin Corporation, a global supplier of automotive components, on commissioned projects such as the development of the edge AI camera "ai cast" and research and development of algorithms (external environment recognition, motion planning, etc.) for next-generation vehicles. In addition to the projects we have undertaken so far, we need individuals who not only possess machine learning expertise but can also lead projects from a leadership position, communicating with internal and external members, to tackle the diversification of tasks to be solved by machine learning and the increase in observation modalities beyond camera imagery. 【Client Development Examples】 『Advanced Drive』 Optimized processing for facial landmark detection and gaze detection in automotive driver monitoring systems to operate on low-cost CPUs. 『ai cast』 An edge AI camera developed with the aim of being used for monitoring cities and autonomous vehicles in "Smart Cities." While already utilized in retail and manufacturing industries, it is also envisioned for future use as an infrastructure camera for security and crime prevention. 『Multimodal Agent "Saya"』 A conversational system combining rule-based response search, speech recognition, speech synthesis, and algorithms for automatic action generation synchronized with lip-sync and conversation content. ▼Required Skills/Experience Candidates who meet one or more of the following criteria: - Master's degree in a science or engineering field, or equivalent experience. - 5+ years of practical experience with outstanding knowledge of machine learning technologies, particularly deep learning (including graduate research). - Experience developing technologies for processing real-world data such as images, point clouds, or audio. - Ability to acquire cutting-edge technology in English. - Proficiency in Python and machine learning libraries/frameworks. - Proven experience in achieving results in a leading role in multi-person projects. - Native-level Japanese proficiency. ▼Preferred Skills/Experience - Ph.D. in a science or engineering field. - Experience in domain application of machine learning technologies. - Experience in projects requiring external collaboration. - Project management experience. - Knowledge and skills in image processing, computer vision, or computer graphics. - Experience in efficient experiment management using compute clusters. - Development experience on edge devices such as Raspberry Pi. ▼Ideal Candidate Profile - Individuals who can leverage their existing technical skills while learning new technologies. - Those who can independently drive tasks from background research, problem identification, method selection, experimental validation, to implementation of results. - Individuals who can plan backward from the goal before starting hands-on work. - Those with strong curiosity who enjoy learning new things in unfamiliar domains. - Individuals who can document information concisely and accurately as a tool for information sharing and consensus building. - Professionals capable of conducting professional communication both internally and externally. ▼Idein's Values 『dots (performance) & circle (imagination)』 dots (●): Rapidly iterate through many failures to achieve great success. circle (○): Individual actions can always contribute to team value. The continuous sequence of ● represents the daily performance achieved, which accumulates to form the circle of imagination. ▼Job Appeal - Opportunity to be involved in edge model development, creation and evaluation of models operating in the real world, and monitoring. - Gain practical AI development and algorithm implementation experience beyond just Proof of Concepts (PoCs). - Develop expertise in edge devices alongside modern development skills. - Accumulate experience in leading projects with a high degree of autonomy. ▼Development Environment 【Development Environment】 Languages: Python Frameworks: PyTorch Source Code Management: GitHub Information Sharing Tools: Slack, Google Workspace, Notion Others: Docker, Linux, Compute Clusters, Raspberry Pi 【Development to Release Environment】 - Server utilization for machine learning model development. - For some projects, model optimization with consideration for operation on automotive ECUs, and deployment to Raspberry Pi and Jetson are performed. ▼Employment Type Full-time employee (No fixed term) ▼Probationary Period Yes: 6 months ▼Salary Annual salary: ¥8,820,000 - ¥11,480,000 ▼Minimum Annual Salary (in 10,000 JPY) 882 ▼Maximum Annual Salary (in 10,000 JPY) 1148 ▼Work Location mirio Jinbocho 6F, 1-28-1 Kanda Jinbocho, Chiyoda-ku, Tokyo. Remote work possible / On-site presence and business trips may be required as needed. ▼Working Hours - Specialized Professional Discretionary Labor System - Deemed working hours per day: 8 hours 00 minutes - No fixed working hours. ▼Break Time 1 hour ▼Overtime Work Yes ▼Holidays, Paid Leave, and Special Leave Working Hours: - Specialized Professional Discretionary Labor System - Deemed working hours per day: 8 hours 00 minutes - No fixed working hours. (If working hours must be stated, the following will be included) - Approximately 10:00 - 19:00 Employment Conditions: - Employment Type: Full-time employee - Contract Period: No fixed term - Work System: Discretionary Labor System / Full remote negotiable (Remote possible) / Side jobs OK / Part-time work negotiable Holidays and Leave: Saturdays, Sundays, National Holidays, days designated by the annual holiday calendar, and other days designated by the company. In addition to annual paid leave, summer and winter holidays, sick leave, and congratulatory/condolence leave are available. Annual paid leave is granted based on the fiscal year starting October 1st: - First year of employment: (18 * (Number of days from joining date to end of fiscal year) / (Number of days in the fiscal year)) days granted on the joining date (round up to the nearest whole number). - Second year: 20 days granted on October 1st. ▼Benefits - Life Plan Allowance (¥49,000)/month - Remote Work Allowance (¥10,000)/month - Housing Allowance (¥75,000)/month *Optionally, after the probationary period, you can switch to a company-leased housing system (支給額は7.5万円、家賃の半額のいずれか小さい方の金額 - the lesser of ¥75,000 or half the rent). - Defined Contribution Pension Plan - Free Drinks, Snacks, and Books - Beer Bash - All-Hands Kick-off Meeting & Social Gathering (held quarterly) - Health Insurance (Kanto IT), Welfare Pension, Employment Insurance, Labor Accident Insurance - Group Life Insurance - Indoor passive smoking measures in place (Non-smoking) ▼Allowances - Life Plan Allowance (¥49,000)/month - Remote Work Allowance (¥10,000)/month - Housing Allowance (¥75,000)/month *Optionally, after the probationary period, you can switch to a company-leased housing system (支給額は7.5万円、家賃の半額のいずれか小さい方の金額 - the lesser of ¥75,000 or half the rent). ▼Insurance Enrollment - Social Insurance Complete (Health Insurance (Kanto IT), Welfare Pension, Employment Insurance, Labor Accident Insurance) - Group Life Insurance ▼Measures to Prevent Passive Smoking in the Workplace Non-smoking indoors ▼Interview/Selection Process Casual Interview → Coding Test → Behavioral Interview / Case Interview + Reference Check → Final Interview → Offer Negotiation *Interview steps may be added as necessary.* ▼Other ■ ~AI that Reaches the Real World, AI that Opens the Future~ Idein's Approach to AI Technology: https://note.com/idein/n/n6ac98cf8ec1a ■ How We Introduced Scrum to Commissioned Development ~The Chemical Reaction of Commissioned Development x Agile~: https://note.com/idein/n/n41c24c9d1d12