Machine Learning Manager

About Cogent

Founded in 2014, Cogent Labs is devoted to providing innovative solutions to real-world problems in order to improve people’s quality of work and life through intelligent automation.

We believe achieving this goal requires a deep understanding of customers' needs and practices in order to build products that can leverage the power of custom AI models through a carefully crafted UI and UX. Our main product is SmartRead, a generic and versatile solution for automating digital and analog document processing for a wide range of businesses.

Headquartered in Tokyo, we are a diverse company with international members from 20 different countries. We are looking for exceptional talent with deep domain expertise that are eager to work with our team on crafting and delivering unique value to our customers.

 

What we offer

• Competitive Salary - Based on skills and experience.
• Performance bonus eligibility twice a year.
• Stock options.
• Work Hours - Standard work hours 9:00 -18:00 with flexible time system around core hours.
• Telework Policy - up to 3 days per week work from home.
• Paid Holiday - Maximum 20 days per year (additional Congratulatory, Bereavement leaves available).
• Holiday - Sat & Sun, Japanese National Holidays, and Year-end and New Year holidays.

 

Benefits

• Visa Sponsorship.
• Support for language training.
• Free in-office breakfast, coffee, tea, drinks, and snacks.
• Subsidized gym membership.
• Monthly commute expense.
• Japanese Social Security - all applicable (Health Insurance, Pension, employment insurance etc.).
• Maternity leave, childcare leave (including male employees).
• Yearly health checkup.

 

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

 

Required Qualifications

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

 

Preferred 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.