Remote Senior ML Engineer: Fine-Tune Open-Source LMs

Strativ Group; United States; On-site; USD 180,000 - 300,000; Full time

Job summary

Strativ Group is hiring a Machine Learning Engineer to fine-tune open source language models for clinical products. You will train, adapt, evaluate and deploy models that sit at the heart of the company’s platform.

You will fine-tune models such as Llama and Mistral, build training pipelines, and collaborate with product and engineering to ship models into production. This role offers a remote-friendly schedule and a base salary up to $300,000 plus equity and benefits.

Qualifications

• Strong experience fine tuning open source language models.
• Hands-on experience with PyTorch and modern training frameworks.
• Experience with LoRA and QLoRA, supervised fine tuning or preference optimisation.
• Strong Python and software engineering skills.
• Experience deploying machine learning models into production.

Responsibilities

• Fine tune open source models including Llama and Mistral.
• Build training evaluation and deployment pipelines.
• Improve model accuracy, reliability, latency and cost.
• Work with large healthcare datasets.
• Partner with product and engineering teams to ship models into production.
• Help shape the company’s model training and infrastructure strategy.

Skills

Fine-tuning open source languageModels

Python programming

Software engineering

Deploying ML models to production

Distributed training knowledge

Tools

PyTorch

LoRA/QLoRA

Model serving

Training frameworks

Cloud infrastructure

Job description

Strativ Group is hiring a Machine Learning Engineer to fine-tune open source language models for clinical products. You will train, adapt, evaluate and deploy models that sit at the heart of the company’s platform.

You will fine-tune models such as Llama and Mistral, build training pipelines, and collaborate with product and engineering to ship models into production. This role offers a remote-friendly schedule and a base salary up to $300,000 plus equity and benefits.