2

Assistant Remote Machine Learning Engineer Jobs in Massachusetts

Machine Learning Engineer REMOTE GC and USC The ideal candidate has hands-on experience with Large Language Models (LLMs) and is highly skilled in Google Cloud Platform (GCP), specifically Vertex AI.

Machine Learning Engineer REMOTE GC and USC The ideal candidate has hands-on experience with Large Language Models (LLMs) and is highly skilled in Google Cloud Platform (GCP), specifically Vertex AI.

Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Machine Learning Engineer - Computer Vision & Robotics Tycho.AI is redefining the future of autonomous intelligence. Spun out of MIT and backed by DoD contracts, we are building breakthrough AI and ...

Sr. Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

next page

Showing results 1-20

Assistant Remote Machine Learning Engineer information

What are the most commonly searched types of Remote Machine Learning Engineer jobs in Massachusetts?

The most popular types of Remote Machine Learning Engineer jobs in Massachusetts are:

What cities in Massachusetts are hiring for Assistant Remote Machine Learning Engineer jobs?

Cities in Massachusetts with the most Assistant Remote Machine Learning Engineer job openings:

Infographic showing various Assistant Remote Machine Learning Engineer job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 24% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Machine Learning Engineer

3B Staffing LLC

Boston, MA • Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Machine Learning Engineer

REMOTE

GC and USC

The ideal candidate has hands-on experience with Large Language Models (LLMs) and is highly skilled in Google Cloud Platform (GCP), specifically Vertex AI. This is not a generic ML engineering role-it requires deep expertise in designing, deploying, and managing LLM-powered applications in production environments.

REQUIRED

  • 3+ years of experience as a Machine Learning Engineer.
  • Proficiency in Python for ML development.
  • Hands-on experience with RDBMS and NoSQL databases (e.g., MongoDB, BigQuery, PostgreSQL).
  • Strong experience with GCP, including Vertex AI for MLOps (training, deployment, monitoring).
  • Extensive experience with LLMs, including deep understanding of architectures, capabilities, and limitations.
  • Proven track record of deploying and managing LLM-based solutions in production using Vertex AI.
  • Experience leveraging Vertex AI Model Garden for model discovery and management.
  • Ability to develop advanced LLM-powered applications using agentic frameworks such as LangChain or LangGraph.
  • Understanding of core ML concepts and workflows.
  • Familiarity with version control systems (e.g., Git).

Nice to Haves:

  • Familiarity with Azure OpenAI Services and other cloud-based LLM offerings.
  • Experience with Retrieval-Augmented Generation (RAG) architectures.
  • Knowledge of NLP beyond LLMs.
  • Familiarity with big data technologies (Apache Spark, Ray, Dask).
  • Experience with streaming data platforms (e.g., Apache Kafka, Google Pub/Sub).
  • Strong analytical and problem-solving skills.
  • Ability to work collaboratively in a team environment.

Education & Certifications

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or related field.
  • Relevant certifications (e.g., Google Professional Data Engineer, Google Cloud ML Engineer, AWS Certified Data Analytics) are a plus.