Remote Machine Learning Engineer

Open worldwide
Apply now ↗

Opens the original posting, where you apply.

✓ Screened eligible

Why you can actually get this job

The posting explicitly states 'Worldwide' scope with no geographic, work authorization, language, or timezone restrictions. It requires only 'Strong written and verbal English communication' which the target user possesses. The UTC offset metadata includes -5 and -4, matching Jamaica's timezone. No hard gates are triggered.

“Worldwide” Geographic scope — No location restrictions stated — worldwide.
“Source-provided allowed UTC offsets: -11, -10, -9.5, -9, -8, -7, -6, -5, -4, -3.5, -3, -2, -1, 0, 1, 2, 3, 3.5, 4, 4.5, 5, 5.5, 5.75, 6, 6.5, 7, 8, 8.75, 9, 9.5, 10, 10.5, 11, 12, 12.75, 13, 14” Geographic scope — Includes UTC-5 and UTC-4, which cover Jamaica (UTC-5) and Trinidad & Tobago (UTC-4).
“Strong written and verbal English communication.” Language — English is the only language requirement; target user is English monolingual and meets this requirement.
“Fully remote work.” Work authorization — Fully remote with no work authorization, visa sponsorship, or residency language stated. Employment is full-time (W2 path), and no visa sponsorship exclusion is mentioned.
“Source-provided allowed UTC offsets: -11, -10, -9.5, -9, -8, -7, -6, -5, -4” Timezone — No specific timezone overlap requirement stated; worldwide offsets accepted including target user's UTC-5 to UTC-4 window.

About the role

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.

Originally posted on Himalayas

Apply now ↗

Opens the original posting, where you apply.

At a glance

  • EmploymentNot stated in posting
  • Hiring scopeOpen worldwide
  • SalaryNot disclosed
  • Posted26d ago

Keep this one

Sign in to save jobs and track what you've applied to.

Sign in

Did you get this job?

Tell us and we'll mark Spotter Labs as a company that has actually hired in the Caribbean. It's the most useful thing on this board and it only exists because people report it.

I got hired here →

Something wrong with this listing?

← All eligible jobs