Senior Machine Learning Engineer

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

We are working with a fast growing Series C healthcare AI company hiring a Machine Learning Engineer to focus on fine tuning open source language models for clinical products.

You will train adapt evaluate and deploy models that sit at the centre of the company’s platform.

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

Experience

Strong experience fine tuning open source language models

Hands on experience with PyTorch and modern training frameworks

Experience with LoRA QLoRA supervised fine tuning or preference optimisation

Strong Python and software engineering skills

Experience deploying machine learning models into production

Knowledge of distributed training cloud infrastructure or model serving

Package

Base salary up to 300000 dollars plus equity and benefits. Remote working schedule.