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Spotter

engineering opportunity

Remote Machine Learning Engineer

Develop, train, and evaluate machine learning models while preparing and analyzing datasets for training. Collaborate with software engineers to integrate and deploy these models into production environments.

United StatesremoteFULL_TIME

Posted

About the role

What will you do at Spotter?

We're looking for a Machine Learning Engineer to help build and improve AI-powered products. You'll work with large datasets, train and evaluate machine learning models, and collaborate with software engineers to bring models into production.

This is a great opportunity for someone who enjoys solving practical problems with machine learning and wants to work on real-world AI applications.

What you'll do

Develop, train, and evaluate machine learning models.

Prepare and analyze datasets for model training.

Improve model performance through experimentation and testing.

Deploy and maintain ML models in production environments.

Collaborate with software engineers to integrate ML solutions into products.

Monitor model performance and continuously improve accuracy.

Stay up to date with new machine learning techniques and technologies.

What we're looking for

Basic understanding of machine learning concepts and algorithms.

Experience with Python.

Familiarity with machine learning libraries such as PyTorch, TensorFlow, or scikit-learn.

Comfortable working with data and writing clean, maintainable code.

Familiarity with Git.

Good problem-solving skills.

Strong written and verbal English communication.

Nice to have

Experience with large language models (LLMs).

Experience with cloud platforms such as AWS, GCP, or Azure.

Familiarity with SQL.

Experience deploying ML models.

Personal projects or open-source contributions related to AI or machine learning.

Requirements

  • 1+ year of experience in machine learning, software engineering, data science, or a related technical role or strong personal projects demonstrating ML skills.
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field is a plus, but not required.
  • Passion for learning and building AI solutions.

What we offer

  • Fully remote work.
  • Flexible working environment.
  • Opportunity to work on real AI products.
  • Challenging technical problems with room to grow.
  • Collaborative and fast-moving team.
  • Competitive compensation based on experience.

Which skills does this role require?

PythonPyTorchTensorFlowScikit-learnGitData AnalysisModel DeploymentProblem-solvingCommunicationArtificial IntelligenceProductionAlgorithmsA/B Testing

Make your next move

Build a shortlist and prepare

Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.

Review the responsibilities and requirements before adding an opening to your shortlist.

Role information can change. Confirm current details on the original application page.

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