Description:

Jobgether is seeking a Senior Machine Learning Engineer to work remotely from the United States for one of their clients.
The role involves collaborating with a team of machine learning engineers and clinical experts to build and deploy machine learning models aimed at automating clinical practices.
Responsibilities include developing scalable ML systems, focusing on data retrieval, classification, and generating insights from both structured and unstructured data.
The contributions made in this role will directly impact the improvement of healthcare processes through AI-driven innovations.
The Senior Machine Learning Engineer will also mentor junior engineers and collaborate with cross-functional teams to ensure the alignment of ML solutions with the company’s broader objectives.
Key accountabilities include designing, developing, and deploying advanced machine learning algorithms, maintaining reusable codebases, and guiding junior engineers in best practices.

Requirements:

Candidates must have 3+ years of industry experience in applied machine learning.
A Master’s degree in Computer Science, Machine Learning, Mathematics, or a similar field is required.
A strong understanding of model building, optimization, and maintenance for production use is essential.
Expertise in Python and experience with deep learning frameworks like PyTorch are necessary.
Hands-on experience in building deep learning models, particularly transformers for NLP tasks, is required.
A strong grasp of experimental design and the ability to independently execute collection, measurement, and result interpretation is needed.

The salary range for this position is $145,000 to $170,000 annually.
Employees will receive health insurance, a 401(k), and bonus opportunities.
The position offers a flexible, remote work environment.
Access to professional development opportunities is provided.
The company promotes a supportive and inclusive culture that values growth and mutual respect.
Additional benefits are also available.