Machine Learning Engineer, Production-Scale AI (Remote)

Multi Media LLC; United States; On-site; USD 180,000 - 200,000; Full time

Benefits offered by this job

Health, Vision, Dental, and Life Insurance

Unlimited PTO

Optional 401k with 5% matching

Paid Lunches in-office or $125/week stipend if remote

Job summary

Multi Media LLC is seeking a Machine Learning Engineer to build and improve production-grade ML systems on their global platform. This hands-on role involves collaborating with cross-functional teams to enhance search and recommendation experiences for users.

Applicants should have a degree in a technical field and over 3 years of relevant experience. The position offers a competitive salary ranging from $180,000 to $200,000 USD, with additional benefits such as fully remote options and comprehensive health insurance.

Qualifications

• 3+ years of experience in building, deploying, or maintaining machine learning systems.
• Experience with consumer-facing products where ML impacts user engagement.
• Ability to evaluate model performance in production.

Responsibilities

• Build, maintain, and improve production ML systems.
• Develop and integrate ML models for recommendations and search accuracy.
• Collaborate with cross-functional teams to translate product needs into ML solutions.

Skills

Python programming

Machine learning systems

Data analysis

Computer vision

Education

Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, Statistics

Tools

scikit-learn

PyTorch

TensorFlow

XGBoost

pandas

NumPy

Job description

Multi Media LLC is seeking a Machine Learning Engineer to build and improve production-grade ML systems on their global platform. This hands-on role involves collaborating with cross-functional teams to enhance search and recommendation experiences for users.

Applicants should have a degree in a technical field and over 3 years of relevant experience. The position offers a competitive salary ranging from $180,000 to $200,000 USD, with additional benefits such as fully remote options and comprehensive health insurance.