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Discovery Machine Jobs in Maynard, MA (NOW HIRING)

3B Staffing LLC

Machine Learning Engineer

Boston, MA · Remote

Machine Learning Engineer REMOTE GC and USC The ideal candidate has hands-on experience with Large ... Experience leveraging Vertex AI Model Garden for model discovery and management. * Ability to ...

Alsym Energy

Machine Learning Engineer (Malden)

Malden, MA · On-site

$130K - $215K/yr

... Machine Learning Scientist or Engineer to design, build, and deploy agentic AI systems that ... This position sits within the Discovery, and Early Prototyping (DEP) organization and works closely ...

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All JobsDiscovery Machine JobsDiscovery Machine Jobs in Maynard, MA

Discovery Machine information

See Maynard, MA salary details

$14

$27

$51

How much do discovery machine jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for discovery machine in Maynard, MA is $27.85, according to ZipRecruiter salary data. Most workers in this role earn between $22.60 and $29.47 per hour, depending on experience, location, and employer.

What is the difference between Discovery Machine vs Data Analyst?

AspectDiscovery MachineData Analyst
Required CredentialsTypically requires a degree in computer science, data science, or related fields; certifications like AWS, Azure, or data analysis tools are commonUsually requires a degree in statistics, mathematics, or related fields; certifications in Excel, SQL, or data visualization tools are common
Work EnvironmentWorks in tech companies, data-driven industries, often in collaborative teamsWorks across various industries, including finance, marketing, healthcare, often in office settings
Employer & Industry UsageUsed in technology, software development, and data science companiesUsed across multiple industries for interpreting and visualizing data

The Discovery Machine and Data Analyst roles share overlapping skills in data handling and analysis but differ mainly in technical focus and industry application. Discovery Machines often involve working with AI and machine learning models, while Data Analysts focus on interpreting data to inform business decisions.

What cities near Maynard, MA are hiring for Discovery Machine jobs?

Cities near Maynard, MA with the most Discovery Machine job openings:

Discovery Machine jobs near you
Infographic showing various Discovery Machine job openings in Maynard, MA as of August 2026, with employment types broken down into 82% Full Time, 11% Part Time, 1% Temporary, 3% Contract, and 3% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $57,935 per year, or $27.9 per hour.

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.

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