1 month ago

Machine Learning Engineer

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Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Design, develop, and deploy NLP models in collaboration with architects, data engineers, and software developers to ensure models are robust, scalable, and efficient. Lead research initiatives in NLP/ML, integrate NLP solutions into products, and stay current with advances to continuously improve capabilities and impact.

Location: Shanghai

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design, develop, and fine-tune state-of-the-art NLP models and algorithms.
•Participate in research initiatives to explore novel approaches in NLP and machine learning.
•Collaborate with cross-functional teams to integrate NLP solutions into our products.
•Catch up with the latest advancements in NLP and ML, applying new techniques to improve our technology.
•Ensure models are robust, scalable, and efficient in production environments.

Key Requirements

•Ph.D. or M.S. in Computer Science, Electronic Engineering, Applied Mathematics, or a related field.
•2+ years of industry experience in developing and deploying NLP solutions.
•Strong programming skills in Python and experience with ML frameworks such as PyTorch or TensorFlow.
•Expertise in NLP tasks such as text classification, named entity recognition, sentiment analysis, and machine translation.
•Experience with deep learning architectures like Transformers, BERT, and GPT.

Experience:2+ yearsNLPMachine learning

Education:Master's

Languages:English

Tech Stack:PythonPyTorchTensorFlowNLTKSpaCyHugging Face TransformersTransformers

Company Brief

Designs and manufactures personal computers, printers, and related supplies, as well as provides software, services, and solutions for consumers and enterprises worldwide.

Industry: Hardware Devices

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Palo Alto, United States

Founded: 1939

Glassdoor: 3.8

Website LinkedIn

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