Machine Learning Engineer, John Snow Labs

Large Language Models

Salary not provided

PyTorch

Senior level

Remote in Canada, EU, UK, US

AI & Natural Language Processing for healthcare

Open for applications

AI & Natural Language Processing for healthcare

21-100 employees

HealthcareB2BArtificial IntelligenceEnterpriseSaaSMedTech

Open for applications

Salary not provided

PyTorch

Senior level

Remote in Canada, EU, UK, US

21-100 employees

HealthcareB2BArtificial IntelligenceEnterpriseSaaSMedTech

Company mission

We help our customers put AI to good use faster.

Job

Company

Role

Who you are

We are seeking a highly skilled and experienced Machine Learning Engineer to join our team
The ideal candidate will have a robust background in machine learning, natural language processing (NLP), and Large Language Models (LLMs)
5+ years of hands-on professional experience in software engineering, building production-grade deep learning solutions
An academic degree in computer science, data science, or a related degree. M.Sc. or Ph.D. degree is strongly preferred
Demonstrated expertise in model tuning frameworks like Axolotl
Familiarity with model serving frameworks, including vLLM, TGI, and llama-cpp, to support the deployment and scalability of machine learning models
Knowledge of model quantization techniques and frameworks to optimize AI models for performance in resource-constrained environments
Hands-on experience with Transformer architectures and proficiency in machine learning frameworks such as PyTorch

What the job involves

The role focuses on training, tuning, and evaluating AI models as part of a diverse team which includes professionals from software engineering, data science, and medicine
Adapt LLMs to diverse healthcare use-cases using techniques such as Sparse Fine-Tuning (SFT), Prompt Engineering Fine-Tuning (PEFT), Direct Parameter Optimization (DPO), and Proximal Policy Optimization (PPO)
Optimize LLMs for Retriever-Augmented Generation (RAG) to enhance decision-making and information retrieval capabilities
Collect, clean, and refine healthcare datasets for training LLMs to ensure high-quality data provisioning
Convert models into various formats suitable for production environments, ensuring their readiness for real-world application

Application process

When applying, please add a cover letter which includes the words ‘John Snow Labs’ and explains your academic, professional ML engineering, and recent LLM engineering experience

Our take

AI has become an increasingly valuable tool for healthcare companies, but deploying AI can be time-consuming, complex and expensive. John Snow Labs solves this problem using industry-leading software, data and models.

The company has built a range of products and solutions, including their Spark NLP, which provides scalable, trainable versions of natural language processing research. It has seen impressive growth in the last few years, boasting the likes of Roche and GE Healthcare as customers.

Having built the largest and most popular NLP library in enterprise, John Snow Labs will need to continue to develop and build out their solutions if they are to maintain this success.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Few candidates hear
back within 2 weeks

3% employee growth in 12 months

Glassdoor (3.8)

Company

Company benefits

Fully virtual company

Articles

For John Snow Labs, doing good with NLP is in their DNA (and yours)

3 AI startups revolutionizing NLP

John Snow Labs Closes Record Year with 5x Customer Growth in 2021

Leadership

David Talby

(CTO)

Previously worked as Senior Manager of Software Development at Amazon, and Principal Group Manager at Microsoft.

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