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?
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.
- Build a focused shortlist before you applyCompare role requirements with your experience and give each application a clear reason.
- Machine learning jobsCompare current openings and review what to look for in this role.
- Practice explaining your experience in an interviewRehearse your answers before meeting the hiring team.
Other roles to compare
Review the responsibilities and requirements before adding an opening to your shortlist.
GTM AI Engineer -Deal Desk
Motive Agency · United States
Sr. Applied AI Engineer
phData · United States
AI and ML Engineer
Booz Allen Hamilton · Lorton, Virginia, United States
Staff AI Engineer - Personalization, Brand, Communications Tech
American Express · New York, New York, United States
Senior AI Engineer
Blue Orange Digital · Washington, District of Columbia, United States
Gen AI Engineer -Dallas, TX
Photon · Dallas, Texas, United States
Role information can change. Confirm current details on the original application page.
