Careforth

Founded in Boston, Careforth's caregiver programs and services improve health outcomes, keeping care at home longer. Additionally, our programs provide financial benefit to caregivers and cost savings to state agencies and health plans. At Careforth, we understand the challenges of caregiving and are committed to supporting family caregivers at every turn. Caregivers play a critical role in the future of healthcare—and so can you.

Senior Machine Learning Engineer

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteTeam 501-1,000

Location

United States

Posted

1 day ago

Salary

Not specified

No structured requirement data.

Job Description

About Us

A pioneer in the caregiving space, Careforth supports family caregivers across the United States to confidently care for their loved ones at home. Through a combination of in-person home visits, remote coaching and our proprietary digital collaboration app, we provide caregivers with support, guidance, confidence, and connection to resources they need.  The Caregivers and families we support stay with Careforth for many years, building lasting relationships along the way. Join us today and live our values: lead with heart, cultivate trust, go beyond.


Position Summary

The Senior Machine Learning Engineer will be a cornerstone of our AI/ML organization, spearheading the design and deployment of advanced Natural Language Processing (NLP) solutions to revolutionize caregiver support. You will transform unstructured caregiver notes and visit observations into production-grade AI models, specializing in Retrieval-Augmented Generation (RAG), document intelligence, and predictive care analytics. The ideal candidate brings  engineering maturity and a track record of building end-to-end ML pipelines that turn complex text into actionable care insights.


What You Will Do

  • Design and implement scalable NLP architectures, including Transformers, BERT-based models, and Generative AI frameworks tailored for healthcare data.
  • Build robust preprocessing pipelines for unstructured text to perform tokenization, Named Entity Recognition (NER), and sentiment analysis.
  • Fine-tune Large Language Models (LLMs) and apply quantization techniques to optimize performance in live production environments.
  • Partner with Data Engineering to build automated labeling workflows and feature stores that support Medallion Architecture standards.
  • Lead the adoption of MLOps best practices using MLflow, Docker, and Kubernetes to ensure seamless CI/CD for ML pipelines.
  • Monitor production model health to mitigate data drift and algorithmic bias, ensuring all outputs meet clinical safety and compliance standards.
  • Influence the strategic roadmap by evaluating emerging technologies (e.g. Vector Databases) and mentor junior engineers on experimental design and model architecture.
  • Perform other duties and special projects as assigned

What You Will Bring

  • MS/Advanced degree in Computer Science, Computational Linguistics, or a related quantitative field.
  • 7-10 years in Machine Learning, with a significant history of deploying large-scale systems in production.
  • Expert-level proficiency in Hugging Face, LangChain, spaCy, and RAG-based architectures.
  • Master-level Python and deep learning framework expertise (PyTorch/TensorFlow).
  • Extensive experience with Databricks/Spark (PySpark) and cloud platforms such as AWS SageMaker.
  • Demonstrated ability to research and learn new technical tools while analyzing data across multiple complex systems.
  • Demonstrated ability to manipulate data across multiple systems, including SQL, SAS, and NoSQL environments.
  • Exceptional ability to translate complex algorithmic results into clear Business Value for non-technical executive stakeholders.

You'll Benefit From

At Careforth your well-being matters. With flexible schedules, a remote-first culture, and a nationally recognized wellness program, our benefits are designed to help you thrive, both professionally and personally. Discover how we invest in you: https://careforth.com/careers/#benefits

 

 

The pay range for this position is $121,00 - $190000. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and geographic location.

#Li-Remote- except for CA


Join Our Award Winning Team

Founded in Boston, Careforth's caregiver programs and services improve health outcomes, keeping care at home longer. Additionally, our programs provide financial benefit to caregivers and cost savings to state agencies and health plans. At Careforth, we understand the challenges of caregiving and are committed to supporting family caregivers at every turn.

 

Caregivers play a critical role in the future of healthcare—and so can you.

 

Apply now!

 

 

For more information, please visit www.Careforth.com.

 

Careforth is an Equal Opportunity Employer*

 

 

 

DISCLAIMER: Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job.

 

*Careforth supports families with diverse backgrounds and as an equal opportunity employer, we seek employees who reflect the diverse population we serve. Careforth complies with all applicable laws concerning hiring and employment practices and is firmly committed to fostering and maintaining a workplace free from discrimination. We pledge to hire, train, and promote our employees without regard to race, religion, gender, gender identity, genetic information, age, national origin, sexual orientation, disability, veteran status, or any other category protected by applicable law.

 

Careforth strives to create experiences that are accessible and welcoming to everyone, including making www.careforth.com and the careers site accessible to any and all users. If you would like to contact us regarding the company’s diversity, equity and inclusion initiatives, inquire about a specific accessibility need or the accessibility of our website, or if you need assistance completing an application process, please contact People & Culture at 866-797-2333.

Related Job Pages

More Machine Learning Engineer Jobs

Machine Learning Engineer II

Kohl's

It’s no secret that our associates love #LifeAtKohls and we know you will too.

Machine Learning Engineer1 day ago
Full TimeRemoteTeam 10,001+Since 1962H1B No Sponsor

Machine Learning Engineer supporting data-driven projects at Kohl's

AirflowBigQueryCloudGoogle Cloud PlatformPythonPyTorchScikit-LearnSparkSQLTensorflow
United States
Machine Learning Engineer2 days ago
InternshipRemoteTeam 1,001-5,000Since 1955H1B No Sponsor

AI/Machine Learning Internship at VSP Vision working on agentic frameworks

NumpyPandasPythonPyTorchScikit-LearnSQLTensorflowUnity
California
$26.5K - $32.5K / year

Senior Machine Learning Engineer

Button

Building a better way to do business in mobile.

Machine Learning Engineer2 days ago
Full TimeRemoteTeam 51-200Since 2014

Senior Machine Learning Engineer owning full ML lifecycle at Button

AirflowAWSCloudPythonSQL
New York
$153K - $198K / year

Machine Learning Engineer

Create Music Group

A data-driven music and technology company focused on empowering artists and labels.

Machine Learning Engineer2 days ago
Full TimeRemoteTeam 201-500Since 2015H1B No Sponsor

The role involves building and maintaining ML models for various music industry use cases, covering the full ML lifecycle from problem framing to deployment and monitoring. Responsibilities also include deploying models using MLOps tooling and potentially developing agentic AI systems for workflow automation.

United States
$160K - $200K / year