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 seeking an experienced Machine Learning Engineer to design, develop, and enhance machine-learning solutions for our products, aimed at solving real-world business challenges.
As a member of our highly skilled team, you will be responsible for creating machine learning models that address specific problem statements and are deployable by our engineering team.
We emphasize experience building machine learning solutions as part of productionized systems, as they come with long-term planning and maintenance challenges.
ResponsibilitiesLeading research initiatives to solve a novel problem, discussing possible directions in terms of the product, and investigating possible solutions using machine learning or internally developed algorithms
Orchestrating and executing the operations around creating or improving features, from choices around data labeling, to training models and evaluating them, and helping with the end-to-end integration
Continuously paying attention to non-functional aspects of feature development such as ease of maintenance, quality of testing, and computation performance in production
Staying up-to-date on developments in relevant machine learning fields
Guiding and mentoring more junior members of the team in terms of possible algorithmic approaches, model training practices or techniques, and software engineering in general
Qualifications And Skills
Required qualifications
At least 4 years of experience developing and integrating machine learning models in productionized solutions
Strong understanding of machine learning algorithms, including deep learning, particularly computer vision and NLP
Solid python programming skills, including experience with modern machine learning libraries (e.g. pytorch)
Ability to produce high quality code that can be directly used in production (e.g. auto code formatting, type checking, code testing, efficient data structures and algorithms)
Nice To Have Qualifications
Japanese language ability
PhD or advanced degree in computer science or a related field
Experience designing complex, distributed software architectures
Experience using MLOps technologies
We are working in a dynamic environment, 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.
The Cogent Labs engineering department is continuously working towards developing a culture improving and rewarding the following qualities:
Team effort:
A cohesive team can be more effective than an isolated prodigy. Engineers are expected to work well in groups and look for opportunities to empower their colleagues.
Ownership:
Take full responsibility for your own projects and tasks and if needed, cross over boundaries in order to successfully deliver your project.
Self-improvement: Create an environment where engineers can focus on their engineering tasks and self-improvement without excessive outside disturbances.Experimentation:
Engineers should have some freedom in experimenting with new ideas and technologies, as this ultimately could translate into building better products or the creation of valuable new IP.
Quality & Excellence:
Maintaining a mindset of developing high quality features and code. We avoid cutting corners as much as possible.
Customer Service:
Being customer focused, not only externally but internally as well.
This means developing services that not only improve the experience of our end customers, but also being 'customer service' oriented within your team and the company as a whole by helping out others and sharing knowledge.
What We OfferCompetitive 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 (Total Target Cash Compensation) : 8.0 million yen to 11.5 million yen Details: Monthly salary : 583,335 yen to 833,335 yen Base salary 431,600 yen + fixed overtime pay [for 45 hours] 151,735 yen ~ Base salary 541,456 yen + fixed overtime allowance [for 45 hours] 190,356 yen + fixed late night work allowance [for 20 hours] 101,523 yen ※Additional overtime pay will be provided for hours worked beyond 45 hours / 20 hours [late night].
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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