**Company: Cogent Labs Job Description Summary: The company Cogent Labs is seeking a Machine Learning Engineer with a Bachelor’s degree in computer science or related fields and at least 3 years of professional experience. They should be proficient in modern Python, database systems, and have experience in software containerization, building training pipelines, and working with AI models. Knowledge of Japanese language is desired. The company uses modern technologies such as PyTorch, Docker, and Kubernetes. The team culture emphasizes qualities such as teamwork, ownership, self-improvement, experimentation, quality, excellence, and customer service. Job Description: 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. • Work Hours - Standard work hours 9:00 -18:00 with flexible… time system around core hours. • Telework Policy - 6 days / month. • 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 Engineer to help accelerate how we create and deploy machine-learning-based solutions to real-world business problems. Successful candidates will join a highly-skilled and 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 practices, providing a great opportunity for learning and growth. Job Responsibilities • Developing and maintaining AI model training pipelines and experiment tracking. • Collaborating with machine learning scientists to bring research findings to production. • Deployment and maintenance of AI models in production. • Maintaining training dataset management systems. Qualifications and skills Required qualifications • BSc/BEng degree in computer science or related fields, or equivalent experience. • 3+ years of professional experience. • Experience using modern Python (FastAPI, Pytorch, Pytest). • Experience using database systems (SQL or NoSQL). Desired qualifications • Familiarity with software containerization (Docker and Kubernetes). • Experience building training pipelines and productionizing AI models. • Experience building ETL data pipelines. • Knowledge of Japanese language. 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. Team Culture 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
Company:Cogent Labs
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Level of experience (years):Senior (5+ years of experience)
“Fine-tuning” means adapting an existing machine learning model for specific tasks or use cases. In this post I’m going to walk you through how you can fine tune a large language model for sentence similarity using some hand annotated test data. This example is in the psychology domain. You need training data consisting of pairs of sentences, and a “ground truth” of how similar you want those sentences to be when you train your custom sentence similarity model.
Hire an NLP developer and untangle the power of natural language in your projects The world is buzzing with the possibilities of natural language processing (NLP). From chatbots that understand your needs to algorithms that analyse mountains of text data, NLP is revolutionising industries across the board. But harnessing this power requires the right expertise. That’s where finding the perfect NLP developer comes in. Post a job in NLP on naturallanguageprocessing.
Natural language processing What is natural language processing? Natural language processing, or NLP, is a field of artificial intelligence that focuses on the interaction between computers and humans using natural language. NLP is a branch of AI but is really a mixture of disciplines such as linguistics, computer science, and engineering. There are a number of approaches to NLP, ranging from rule-based modelling of human language to statistical methods. Common uses of NLP include speech recognition systems, the voice assistants available on smartphones, and chatbots.