<Machine Learning Engineer> Remote / Discretionary Labor System / Develop Machine Learning Models for Real-World OperationsTranslated from Japanese

▼Job Details 【Company Mission】 "To make all real-world information processable by software." Develop and verify cutting-edge technologies centered on machine learning for processing real-world data to solve market challenges. 【Business Description】 Idein is a tech company aiming to "create a world made of software" by digitizing phenomena occurring in the physical world and making 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 cutting-edge AI technology for perception and control of the physical world. Our business is characterized by a focus not only on AI itself but also on its implementation and large-scale operation in our technological and business development efforts. We are committed to growing into a company that solves more difficult challenges for more customers by creating a cycle of on-site problem-solving and product growth, thereby realizing transformation through software in more and more real-world applications. 【Department Mission】 To develop and release machine learning technologies that solve the challenges of our company and clients, leveraging and expanding upon existing experience and skills, thereby creating value. 【Responsibilities of the Position】 Towards the realization of our mission, you will be responsible for developing machine learning algorithms to solve domain-specific problems. Additionally, you will be involved in the practical development of machine learning technologies for the next-generation mobility field, as well as identifying technical challenges and planning their solutions in collaboration with leadership. *This position is for an engineer in the AI Development Department, which primarily handles contract development projects.* The appeal of this role lies in the excitement of launching entirely new products, concepts, and technologies into the world, as well as the experience and growth opportunities gained by being part of a rapidly growing organization. As a Machine Learning Engineer, you will engage in technology development that solves domain problems and leads to the creation of new value. Phases Handled: In collaboration with external stakeholders, you will be responsible for requirements definition, technical investigation, development, and verification of machine learning solutions for problem-solving (operations and maintenance are not included). 【Specific Job Duties】 - Development of algorithms for processing various sensor data - Investigation, implementation, and evaluation experiments of methods for domain-specific problems - Research and implementation based on academic papers, and conception and implementation of original methods - Lightweighting and optimization of machine learning models for operation on edge devices - Documentation of the above processes and summarization using slides - Model design, experiment management, summarization of evaluation results, and organization of next actions 【Idein's Strengths】 - Possession of proprietary compiler technology that accelerates the inference of Deep Learning models. - Expertise in development considering computational resources during model design and optimization, leading to high competitiveness. - Business development leveraging 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 organized into small groups of 3-5 people. We provide comprehensive support to help you smoothly integrate into the organization. - 1-on-1 Meetings with Mentors: Conducted as needed, with intensive sessions especially during the initial period after joining. - 1-on-1 Meetings with Supervisor: Held bi-weekly. - Knowledge Sharing Seminars (sharing past case studies and input content): Held bi-weekly. - Beer Bash (informal 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 more. - Each engineer focuses on their assigned projects. - Technical exchange through seminars and review sessions. - Flexible work style with discretionary labor system and a remote-first approach. 【Recruitment Background and Challenges】 Idein is a startup company that combines the technical capability to build edge AI from the ground up with the deployment power through collaborations with industry leaders and our own product, "Actcast." We are collaborating with Aisin Corporation, a global automotive parts supplier, on contract development projects, including the development of the edge AI camera "ai cast" and research and development of algorithms (e.g., environment perception, motion planning) for next-generation vehicles. In addition to the projects we have undertaken so far, we are seeking individuals who can leverage their machine learning expertise to autonomously identify technical challenges and drive them to successful outcomes, in order to tackle projects involving an increasing diversity of tasks solvable by machine learning and an expanding range of observation modalities beyond camera imagery. 【Development Examples with Clients】 『Advanced Drive』 Optimized processing for driver monitoring systems in vehicles, such as facial landmark detection and gaze detection, to run on low-cost CPUs. 『ai cast』 An edge AI camera developed with the vision of being used for monitoring smart cities and autonomous vehicles. While already utilized in retail and manufacturing industries, it is also considered for future applications as infrastructure cameras 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, including lip-sync, based on the conversation content. ▼Required Skills/Experience - Master's degree in a science or engineering field, or equivalent experience. - 2+ years of practical experience (including graduate research) applying machine learning techniques, particularly deep learning, to at least one type of real-world data such as images, point clouds, or audio. - Ability to implement various deep learning and machine learning methods from scratch. - 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 team development, including code reviews and task management. - Knowledge and skills in image processing, computer vision, and computer graphics. - Experience in efficient experiment management using compute clusters. - Development experience on edge devices such as Raspberry Pi. ▼Ideal Candidate Profile - Ability to embody Idein's Values. - Ability to autonomously identify and solve technical challenges. - Ability to plan by working backward from the goal before starting hands-on work. - Strong curiosity and enjoyment in learning new things even in unfamiliar domains. - Ability to document information concisely and comprehensively as a tool for information sharing and consensus building. - Ability to conduct 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 'dots' represents the daily performance achieved, which collectively forms the 'circle' of imagination. ▼Job Appeal - Opportunity to be involved in edge model development, creation, evaluation, and monitoring of models actually operating in society. - Gain practical experience in AI development and algorithm implementation, going beyond Proof of Concept (PoC). - Develop expertise in edge devices alongside modern development skills. ▼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】 - Servers are utilized for machine learning model development. - Depending on the project, model optimization for in-vehicle computers (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: ¥7,000,000 - ¥9,340,000 ▼Minimum Annual Salary (in 10,000 JPY) 700 ▼Maximum Annual Salary (in 10,000 JPY) 934 ▼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 System with Discretionary Labor - Deemed working hours per day: 8 hours 00 minutes - No fixed working hours. ▼Break Time 1 hour ▼Overtime Work Yes ▼Holidays, Paid Leave, Special Leave 【Working Hours】 - Specialized Professional System with Discretionary Labor - Deemed working hours per day: 8 hours 00 minutes - No fixed working hours. (If recording working hours is mandatory, the following is noted) - 10:00 - 19:00 is the guideline. 【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 / Shortened working hours negotiable. 【Holidays and Leave】 Saturdays, Sundays, national holidays, days specified in the annual holiday calendar, and other days designated by the company. In addition to annual paid leave, there are summer/winter holidays, sick leave, and congratulatory/condolence leave. Annual paid leave is granted based on the fiscal year starting October 1st: - First year of employment: (18 * days from joining date to end of fiscal year / total days in fiscal year) days granted on 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, Industrial 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, Industrial Accident Insurance) - Group Life Insurance ▼Measures to Prevent Passive Smoking at the Workplace Non-smoking indoors ▼Interview and 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 ■ Story of Introducing Scrum to Contract Development ~Chemical Reaction of Contract Development x Agile~: https://note.com/idein/n/n41c24c9d1d12