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Remote Google Machine Learning Engineer Jobs in Saint Paul, MN

Varsity Tutors

Machine Learning Tutor

Edina, MN · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Tror AI for everyone

AI/ML Architect

Minneapolis, MN · Remote

Role: AI/ML Architect Remote JD- * AI Architect to define and lead scalable enterprise AI ... Define the right AI approach across machine learning and Generative AI initiatives * Establish ...

A.C. Coy

Sr. AI Engineer/Architect (Remote)

Eagan, MN · Remote

... Engineer/Architect to support our US Government client. * This remote contract-to-hire position ... Conduct research, testing, and analysis to develop machine learning algorithms and predictive ...

A.C. Coy

Sr. AI Engineer/Architect (Remote)

Eagan, MN · On-site +1

... Engineer/Architect to support our US Government client. * This remote contract-to-hire position ... Conduct research, testing, and analysis to develop machine learning algorithms and predictive ...

A.C. Coy

Sr. AI Engineer/Architect (Remote)

Eagan, MN · Remote

... Engineer/Architect to support our US Government client. * This remote contract-to-hire position ... Conduct research, testing, and analysis to develop machine learning algorithms and predictive ...

THOMSON REUTERS

Lead Research Engineer

Eagan, MN · On-site +1

$104K - $137K/yr

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ...

General Mills

Senior Data Scientist

Minneapolis, MN · On-site +1

$108K - $181K/yr

Exposure to machine learning engineering practices and coding standards that support scalable ... International relocation and international remote working arrangements outside of the United States ...

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Remote Google Machine Learning Engineer information

See Saint Paul, MN salary details

$31.9K

$130.2K

$195.7K

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

As of Jul 31, 2026, the average yearly pay for remote google machine learning engineer in Saint Paul, MN is $130,235.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,700.00 and $156,800.00 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, and why are they important?

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 popular job titles related to Remote Google Machine Learning Engineer jobs in Saint Paul, MN? For Remote Google Machine Learning Engineer jobs in Saint Paul, MN, the most frequently searched job titles are:
What job categories do people searching Remote Google Machine Learning Engineer jobs in Saint Paul, MN look for? The top searched job categories for Remote Google Machine Learning Engineer jobs in Saint Paul, MN are:
Remote Google Machine Learning Engineer jobs near you

Principal AI / ML Engineer

NxT Level

Minneapolis, MN • On-site, Remote

Other

Medical, Retirement, PTO

Re-posted 7 days ago

Job description

Our client is a digital consumer product. They're building social features using LLMs and Machine Learning to add to user experience. We're looking for a Principal Machine Learning Engineer to build AI features for the family.

Qualifications:

  • A confident craftsperson who possesses problem-solving tools and can discuss multiple approaches while preferring the best approach given the constraints.
  • A scientific artist and artistic scientist who can navigate complexity and bring clarity to intricate problems while appreciating simplicity as the highest sophistication.
  • A pragmatic optimizer who identifies the need for change, articulates it, and drives incremental improvements toward ambitious goals.
  • An advocate for team collaboration and open communication.
  • Possesses comprehensive knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and advanced NLP techniques.
  • Significant experience in AI/ML engineering with a strong data science background.
  • Demonstrated ability in designing and training LLMs.
  • Expertise in Databricks/Apache Spark for large-scale data processing in AI/ML applications.
  • Proficiency with AWS Bedrock and Comprehend.
  • Demonstrated leadership in AI/ML solutions in a commercial environment.
  • Proficiency in programming languages such as R, Python, and Java, with a focus on data exploration and processing.
  • Proven ability to lead and inspire teams of senior engineers and data scientists.
  • Effective individual contributor within a collaborative team environment.
  • Strong analytical, problem-solving, and communication skills.

Responsibilities:

  • Collaborate with the Data team to transform Data Lakehouse potential into actionable insights and services that enhance user experiences.
  • Shape AI/ML strategies, particularly in LLMs, to drive business outcomes and establish data science principles.
  • Implement technologies in AWS and Databricks for handling and processing large datasets for advanced language model training.
  • Lead data science practices, including model selection and training methodology.
  • Build, train, manage, and host LLMs using Data Lakehouse data.
  • Optimize AI system performance through testing and tuning, leveraging data science and Databricks methodologies.
  • Ensure ethical standards and data privacy compliance in AI solutions.
  • Provide specialized AI/ML expertise to guide the development and optimization of AI features.
  • Stay updated on the latest AI/ML and data science trends, especially in LLMs and AWS, Databricks/Apache Spark technology.

Benefits:

  • Full Medical Coverage: OFW covers 100% of premiums for employees and their families.
  • 401k: Up to a 4% match with immediate vesting.
  • 12 weeks of paid leave for all new parents.
  • Learning & Development stipend for employees.
  • Supportive and flexible working environment, allowing remote work from anywhere.

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