Job Description

About Cogent

Cogent Labs, an AI startup based in Tokyo, has been at the forefront of AI innovation for a decade since 2014. Our journey has been marked by rapid growth and cutting-edge technological advancements, making us a prime destination for ambitious professionals seeking to make a real world impact in solving a wide range of business problems.

Our flagship product, SmartRead, has revolutionized document processing with its advanced AI based automated document processing capabilities. Building on this success, we're expanding our portfolio with SmartFind, which uses conversational interface like Chat GPT, and workflow automation tools in 2025. What sets us apart is our commitment in developing in-house, cutting-edge AI technology including proprietary large document models.

At Cogent Labs, we foster a culture of ownership and teamwork like a professional sports team. We are a meritocratic, results-driven team, looking for a self-starter and highly motivated individuals who thrive on challenges in a closely collaborating team environment.

Job Summary

Cogent Labs is looking for a Machine Learning Engineering Manager to help accelerate how we create and deploy machine-learning-based solutions to real-world business problems. This manager will be responsible for empowering the work of a diverse team of ML engineers and researchers by setting ambitious goals aligned towards a product roadmap and managing successful delivery.

Successful candidates will join a highly-skilled, growing team of ML engineers and scientists, using modern software engineering techniques, coding practices, and technologies. The team combines data engineering, machine learning engineering, and devops engineering using modern technologies such as PyTorch, Docker, Knative, Kafka, Kubernetes, Nvidia Triton, Github Actions, and cloud platforms such as Google Cloud Platform and Amazon Web Services. 

This position will report directly to the CTO and join a Research and Development leadership team that is driven to innovate and solve. 

Job Responsibilities

• Leading, empowering and managing a diverse team towards individual and collective goals. 
• Ensuring organizational health by fostering growth of team members. 
• Working with other cross functional teams and leaders to drive the product roadmap.
• Contributing to designing and implementing full model development cycles: data collection, labeling, model development, experimentation, training, testing, and deployment in production
• Making sure that good coding and engineering practices are implemented in order to maintain a sane codebase

Qualifications and skills

Required qualifications

• 3+ years of experience managing engineers, scientists or researchers. 
• Professional experience in designing, implementing, training and deploying machine learning models for business application.
• Excellent collaboration skills allowing for effective communication with other departments and leaders within the company. 

Nice to have qualifications

• Practical knowledge of MLOps principles and technologies, and DevOps in general (data and model storage and versioning, model training at scale, model serving at scale). 
• Japanese Business level

What we offer

• Competitive Salary - Based on skills and experience
• Performance bonus eligibility twice a year
• Stock Option

Benefits

• Visa Sponsorship
• Free in-office breakfast, coffee, tea, drinks and snacks
• Subsidized language training
• Subsidized gym membership
• Monthly commute expense
• Japanese Social Security - all applicable (Health Insurance, Pension, employment insurance etc.)
• DC (Definitive Contribution) pension plan
• Maternity leave, childcare leave (including male employees)
• Yearly health checkup
• Paid Holiday - Maximum 20 days per year (additional Congratulatory, Bereavement leaves available)

Working Conditions

• Employment Type : Full-time employee
• Work Location : Minato-ku, Tokyo (change not expected)
• Scope of Work : Work as specified by the company
• Employment Period : Permanent (not fixed term)
• Probation Period : 3 months
• Salary
  Annual salary (Monthy Salary + Bonus) and other statutory working conditions details (Monthly Salary [Base salary + Managerial Allowance + Late Night Allowanc]) will be presented separately prior to the interview.
  ※Base salary will be determined based on experience and ability
  ※Performance-based bonuses are provided twice a year
  ※Commuting allowance are paid separately
• Working hours - Basic working hours 9:00 a.m. to 6:00 p.m. Break - 12:00 p.m. to 1:00 p.m. (60 minutes)
• Holidays - Saturdays, Sundays, national holidays, and year-end and New Year holidays
• Paid leave - Up to 20 days per year (separate bereavement leave available)
• Smoking area - Separated in the building

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