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Machine Learning Engineer New Grad Jobs in Boston, MA

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

Boston, MA · On-site

$140 - $210/hr

About the Role We are seeking a high-impact Machine Learning Developer/Engineer to join our ... validating new architectures or novel applications of existing models to solve complex drug ...

Machine Learning Engineer Job Duties: * Develop, build and maintain scalable data pipelines supporting underwriting, analytics, and machine learning systems; * Develop and deploy backend services and ...

Senior Machine Learning Engineer

Boston, MA · Remote

$125K - $165K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development ... Stay up-to-date with the latest advancements in machine learning and healthcare AI, and explore new ...

What you'll need to succeed as a Machine Learning Engineer at XPO Minimum qualifications: * Bachelor's degree in Computer Science, Engineering, or related field, or equivalent related work or ...

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 ...

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 ... Stay up-to-date with the latest advancements in machine learning and healthcare AI, and explore new ...

What you'll need to succeed as a Machine Learning Engineer at XPO Minimum qualifications: * Bachelor's degree in Computer Science, Engineering, or related field, or equivalent related work or ...

... software engineers, and machine learning engineers passionate about delivering innovative ... Ability to thrive in a fast-paced environment, deal with uncertainty, and adapt to new and changing ...

... software engineers, and machine learning engineers passionate about delivering innovative ... Ability to thrive in a fast-paced environment, deal with uncertainty, and adapt to new and changing ...

Senior Machine Learning Engineer

Boston, MA · On-site

$113K - $155K/yr

Senior Machine Learning Engineer - Perception R&D Hybrid Contract C2C GC, USC Need Linkedin of 2 Active referrences Python, PyTorch, computer vision, deep learning (ViT/Transformers, self-supervised ...

Senior Machine Learning Engineer

Boston, MA

$113K - $155K/yr

Senior Machine Learning Engineer - Perception R&D Hybrid Contract C2C GC, USC Need Linkedin of 2 Active referrences Python, PyTorch, computer vision, deep learning (ViT/Transformers, self-supervised ...

Showing results 21-40

Machine Learning Engineer New Grad information

See Boston, MA salary details

$34.2K

$139.9K

$210.2K

How much do machine learning engineer new grad jobs pay per year?

As of Sep 5, 2026, the average yearly pay for machine learning engineer new grad in Boston, MA is $139,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,300.00 and $168,400.00 per year, depending on experience, location, and employer.

What is a machine learning engineer new grad?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

What are the typical day-to-day tasks of a machine learning engineer new grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What are the key skills and qualifications needed to thrive in the machine learning engineer new grad position, and why are they important?

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are popular job titles related to Machine Learning Engineer New Grad jobs in Boston, MA?

For Machine Learning Engineer New Grad jobs in Boston, MA, the most frequently searched job titles are:

What cities near Boston, MA are hiring for Machine Learning Engineer New Grad jobs?

Cities near Boston, MA with the most Machine Learning Engineer New Grad job openings:

Infographic showing various Machine Learning Engineer New Grad job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $139,895 per year, or $67.3 per hour.

Machine Learning Engineer

3B Staffing LLC

Boston, MA • Remote

Full-time

Posted 4 days ago


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.