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Remote Google Machine Learning Engineer Jobs in Springfield, MA

The Hartford

Principal AI Engineer

Hartford, CT · On-site +1

This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office ... Hands-on experience with cloud platforms and services, such as Google Cloud, AWS, Azure and their ...

Varsity Tutors

Data Science Tutor

Northampton, MA · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Hartford, CT · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

UnitedHealth Group

Sr Software Engineer

Hartford, CT · Remote

$91K - $163K/yr

  • Retirement

... machine learning services/APIs * 1 years of experience with DevOps automation, containerization (Docker, Kubernetes), and CI/CD pipelines (Jenkins, GitHub Actions, GitLab) * 1 years of experience ...

micro1 AI

AI Trainer - Microbiology Expert

Hartford, CT · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Varsity Tutors

Python Tutor

Northampton, MA · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Varsity Tutors

Python Tutor

Hartford, CT · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Cigna

Data Science Advisor - Hybrid

Bloomfield, CT · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong programming skills in Python, R, SQL, or similar tools. * Hands-on experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch. * Experience developing predictive ...

Travelers

Data Engineer II - Snowflake, dbt, AWS

Hartford, CT · On-site +1

$126K - $208K/yr

  • Medical

  • Life

  • Retirement

  • PTO

As a Data Engineer, you will play a key role in growing and transforming our analytics landscape ... Machine Learning and business intelligence/insights. What Will You Do? * Build and operationalize ...

iSoftStone

Sr. Project Manager (Infrastructure)

Manchester, CT · Remote

$65 - $75/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Remote Opportunity in the Tri-State Area (NY, NJ or CT) Applicants must be legally authorized to ... machine learning and AI. With 20 delivery centers and more than 90,000 employees worldwide ...

Varsity Tutors

Linear Algebra Tutor

Hartford, CT · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

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Showing results 21-40

All JobsGoogle Machine Learning Engineer JobsRemote Google Machine Learning Engineer JobsRemote Google Machine Learning Engineer Jobs in Springfield, MA

Remote Google Machine Learning Engineer information

See Springfield, MA salary details

$31.4K

$128.3K

$192.8K

How much do remote google machine learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote google machine learning engineer in Springfield, MA is $128,319.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,100.00 and $154,500.00 per year, depending on experience, location, and employer.

What is a remote Google machine learning engineer?

A Remote Google Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models and artificial intelligence solutions, often using Google Cloud technologies, while working from a remote location. These engineers collaborate with cross-functional teams to solve complex business problems, optimize data pipelines, and improve model performance. Their responsibilities typically include data preprocessing, model selection, training, evaluation, and deployment, all while ensuring scalability and security. Working remotely allows them to contribute to projects from anywhere, leveraging cloud-based tools and collaboration platforms.

What are the key skills and qualifications needed to thrive as a remote Google machine learning engineer?

To thrive as a Remote Google Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning algorithms, typically supported by a relevant degree and experience in building scalable models. Proficiency with tools such as TensorFlow, Python, Google Cloud Platform (GCP), and familiarity with distributed systems is essential. Excellent problem-solving, communication, and self-management skills are crucial for effective remote collaboration and innovation. These capabilities enable engineers to deliver impactful machine learning solutions while seamlessly integrating with global Google teams.

How do remote Google machine learning engineers typically collaborate with cross-functional teams while working from different locations?

Remote Google Machine Learning Engineers often use a combination of video conferencing, cloud-based collaboration tools, and shared code repositories to work closely with data scientists, product managers, and software engineers. Regular stand-up meetings, sprint planning sessions, and detailed documentation help ensure everyone is aligned and project milestones are met. Despite being remote, engineers are encouraged to proactively communicate progress, share insights, and participate in code reviews to maintain a strong team dynamic and drive successful project outcomes.

What are the most commonly searched types of Google Machine Learning Engineer jobs in Springfield, MA?

The most popular types of Google Machine Learning Engineer jobs in Springfield, MA are:

What are popular job titles related to Remote Google Machine Learning Engineer jobs in Springfield, MA?

For Remote Google Machine Learning Engineer jobs in Springfield, MA, the most frequently searched job titles are:

What job categories do people searching Remote Google Machine Learning Engineer jobs in Springfield, MA look for?

The top searched job categories for Remote Google Machine Learning Engineer jobs in Springfield, MA are:

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Cities near Springfield, MA with the most Remote Google Machine Learning Engineer job openings:

Remote Google Machine Learning Engineer jobs near you

Principal AI Engineer

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site, Remote

Full-time

Posted 22 days ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 121 frontline employees who took The Breakroom Quiz

57th of 310 rated insurance

Job description

Principal Software Engineer - IE06GE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
At the Hartford, we are seeking a Principal AI Engineer who is responsible for building our AI platform to accelerate designing, developing, and deploying AI use cases, and drive innovation at scale, with particular emphasis on GenAI capabilities and acceleration of use cases.
We are driven by a strong determination to create a meaningful impact and take pride in being an insurance company that extends far beyond the realms of policies and coverages. When you choose to be a part of our team, you open the door to endless opportunities for personal and professional growth, as well as the chance to empower others in reaching their aspirations. You will help bring the transformative power of AI/GenAI capabilities to re-imagine the 'art of possible' and serve our internal customers and transform the businesses.
This team is dedicated to building state-of-the-art AI platform. We are looking for an experienced Principal AI Engineer, to help us build the foundation of our AI capability. You will be a thought partner to the platform leadership. You will provide vision and impeccably execute the build of platform capabilities that accelerates the build of complex digital assistants, enables rapid experimentation, supports scaling and productionization of the solutions with built in scalability, security and self-service features. The ideal candidate is an accomplished professional with significant hands-on experience in data, analytics, MLOps/LLMOps engineering who is equipped to manage and drive broader stakeholder engagements.
This role requires versatility and expertise across a wide range of skills. Someone who is biased for action, visionary and an engineer at heart will fit into this role seamlessly.
This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday) Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Candidate must be authorized to work in the US without company sponsorship.
Responsibilities:
  • Key thought leader, collaborator, and contributor to the build of the AI platform that supports and accelerated GenAI and traditional predictive and ML solutions.
  • Define and execute the vision and roadmap for AI platform that align with the organization's strategic goals and customer needs.
  • Drive the future state of the AI platform by staying updated with the latest trends and developments
  • Lead the build and execution of POCs and prototypes that serve to qualify and validate emerging AI platform solutions that can be leveraged as solution quick start and eventually become capabilities within the AI platform for enterprise consumption.
  • Provide hands_on engineering support to the build of platform capabilities e.g., agentic frameworks, IAC, production grade capabilities, monitoring systems, developer experience, FinOps capabilities etc
  • Partner with our shared service teams like Architecture, Cloud, Security, etc to design and implement platform solutions.
  • Collaborate with the DS team to develop a self-service internal developer AI platform.
  • Provide leadership and mentorship to engineers on the team, fostering a culture of innovation, collaboration, and continuous upskilling and learning.

Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, or a technical field.
  • 10+ years of experience with cloud (AWS / GCP)
  • Demonstrate a willingness to challenge the status quo and a bias for action
  • Extensive programming experience with Python, Typescript.
  • At least 8 years of experience designing and building data-intensive solutions using distributed computing.
  • 10+ years building and shipping software and/or platform infrastructure solutions for enterprises.
  • Hands-on experience with cloud platforms and services, such as Google Cloud, AWS, Azure and their offerings for AI / generative AI
  • Experience with CI/CD pipelines, Automated Testing, Automated Deployments, Agile methodologies, Unit Testing and Integration Testing tools.
  • Experience with building scalable serverless application (real-time / batch)
  • Knowledge of distributed NoSQL database systems.
  • Experience with data engineering, ETL technology, and conversation UX is a plus.
  • Experience with HPCs, vector embedding, and Hybrid/Semantic search technologies.
  • Proficiency in customization techniques across various stages of the RAG pipeline, including model fine-tuning, retrieval re-ranking, Hybrid search and multimodal RAG plus.
  • Strong proficiency in embeddings, ANN/KNN, vector stores, quantization, database optimization, & performance tuning.
  • Experience in building Agentic system using frameworks like LangGraph and crewai is a plus.
  • Basic understanding of Natural Language Processing, vector space models and Deep Learning.
  • Excellent problem-solving skills and the ability to work in a collaborative team environment.
  • Excellent communication skills.

Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$168,400 - $252,600
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

What The Hartford employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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